Google Cloud Native is in preview. Google Cloud Classic is fully supported.
google-native.datacatalog/v1.Entry
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Google Cloud Native is in preview. Google Cloud Classic is fully supported.
Creates an entry. You can create entries only with ‘FILESET’, ‘CLUSTER’, ‘DATA_STREAM’, or custom types. Data Catalog automatically creates entries with other types during metadata ingestion from integrated systems. You must enable the Data Catalog API in the project identified by the parent
parameter. For more information, see Data Catalog resource project. An entry group can have a maximum of 100,000 entries.
Auto-naming is currently not supported for this resource.
Create Entry Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new Entry(name: string, args: EntryArgs, opts?: CustomResourceOptions);
@overload
def Entry(resource_name: str,
args: EntryArgs,
opts: Optional[ResourceOptions] = None)
@overload
def Entry(resource_name: str,
opts: Optional[ResourceOptions] = None,
entry_group_id: Optional[str] = None,
entry_id: Optional[str] = None,
labels: Optional[Mapping[str, str]] = None,
display_name: Optional[str] = None,
location: Optional[str] = None,
description: Optional[str] = None,
looker_system_spec: Optional[GoogleCloudDatacatalogV1LookerSystemSpecArgs] = None,
data_source_connection_spec: Optional[GoogleCloudDatacatalogV1DataSourceConnectionSpecArgs] = None,
cloud_bigtable_system_spec: Optional[GoogleCloudDatacatalogV1CloudBigtableSystemSpecArgs] = None,
model_spec: Optional[GoogleCloudDatacatalogV1ModelSpecArgs] = None,
fully_qualified_name: Optional[str] = None,
gcs_fileset_spec: Optional[GoogleCloudDatacatalogV1GcsFilesetSpecArgs] = None,
business_context: Optional[GoogleCloudDatacatalogV1BusinessContextArgs] = None,
linked_resource: Optional[str] = None,
dataset_spec: Optional[GoogleCloudDatacatalogV1DatasetSpecArgs] = None,
database_table_spec: Optional[GoogleCloudDatacatalogV1DatabaseTableSpecArgs] = None,
fileset_spec: Optional[GoogleCloudDatacatalogV1FilesetSpecArgs] = None,
project: Optional[str] = None,
routine_spec: Optional[GoogleCloudDatacatalogV1RoutineSpecArgs] = None,
schema: Optional[GoogleCloudDatacatalogV1SchemaArgs] = None,
service_spec: Optional[GoogleCloudDatacatalogV1ServiceSpecArgs] = None,
source_system_timestamps: Optional[GoogleCloudDatacatalogV1SystemTimestampsArgs] = None,
sql_database_system_spec: Optional[GoogleCloudDatacatalogV1SqlDatabaseSystemSpecArgs] = None,
type: Optional[EntryType] = None,
usage_signal: Optional[GoogleCloudDatacatalogV1UsageSignalArgs] = None,
user_specified_system: Optional[str] = None,
user_specified_type: Optional[str] = None)
func NewEntry(ctx *Context, name string, args EntryArgs, opts ...ResourceOption) (*Entry, error)
public Entry(string name, EntryArgs args, CustomResourceOptions? opts = null)
type: google-native:datacatalog/v1:Entry
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args EntryArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args EntryArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args EntryArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args EntryArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args EntryArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var google_nativeEntryResource = new GoogleNative.DataCatalog.V1.Entry("google-nativeEntryResource", new()
{
EntryGroupId = "string",
EntryId = "string",
Labels =
{
{ "string", "string" },
},
DisplayName = "string",
Location = "string",
Description = "string",
LookerSystemSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1LookerSystemSpecArgs
{
ParentInstanceDisplayName = "string",
ParentInstanceId = "string",
ParentModelDisplayName = "string",
ParentModelId = "string",
ParentViewDisplayName = "string",
ParentViewId = "string",
},
DataSourceConnectionSpec = null,
CloudBigtableSystemSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1CloudBigtableSystemSpecArgs
{
InstanceDisplayName = "string",
},
ModelSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1ModelSpecArgs
{
VertexModelSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1VertexModelSpecArgs
{
ContainerImageUri = "string",
VersionAliases = new[]
{
"string",
},
VersionDescription = "string",
VersionId = "string",
VertexModelSourceInfo = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1VertexModelSourceInfoArgs
{
Copy = false,
SourceType = GoogleNative.DataCatalog.V1.GoogleCloudDatacatalogV1VertexModelSourceInfoSourceType.ModelSourceTypeUnspecified,
},
},
},
FullyQualifiedName = "string",
GcsFilesetSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1GcsFilesetSpecArgs
{
FilePatterns = new[]
{
"string",
},
},
BusinessContext = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1BusinessContextArgs
{
Contacts = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1ContactsArgs
{
People = new[]
{
new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1ContactsPersonArgs
{
Designation = "string",
Email = "string",
},
},
},
EntryOverview = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1EntryOverviewArgs
{
Overview = "string",
},
},
LinkedResource = "string",
DatasetSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1DatasetSpecArgs
{
VertexDatasetSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1VertexDatasetSpecArgs
{
DataItemCount = "string",
DataType = GoogleNative.DataCatalog.V1.GoogleCloudDatacatalogV1VertexDatasetSpecDataType.DataTypeUnspecified,
},
},
DatabaseTableSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1DatabaseTableSpecArgs
{
DatabaseViewSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpecArgs
{
BaseTable = "string",
SqlQuery = "string",
ViewType = GoogleNative.DataCatalog.V1.GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpecViewType.ViewTypeUnspecified,
},
Type = GoogleNative.DataCatalog.V1.GoogleCloudDatacatalogV1DatabaseTableSpecType.TableTypeUnspecified,
},
FilesetSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1FilesetSpecArgs
{
DataplexFileset = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1DataplexFilesetSpecArgs
{
DataplexSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1DataplexSpecArgs
{
Asset = "string",
CompressionFormat = "string",
DataFormat = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1PhysicalSchemaArgs
{
Avro = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1PhysicalSchemaAvroSchemaArgs
{
Text = "string",
},
Csv = null,
Orc = null,
Parquet = null,
Protobuf = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1PhysicalSchemaProtobufSchemaArgs
{
Text = "string",
},
Thrift = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1PhysicalSchemaThriftSchemaArgs
{
Text = "string",
},
},
Project = "string",
},
},
},
Project = "string",
RoutineSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1RoutineSpecArgs
{
BigqueryRoutineSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1BigQueryRoutineSpecArgs
{
ImportedLibraries = new[]
{
"string",
},
},
DefinitionBody = "string",
Language = "string",
ReturnType = "string",
RoutineArguments = new[]
{
new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1RoutineSpecArgumentArgs
{
Mode = GoogleNative.DataCatalog.V1.GoogleCloudDatacatalogV1RoutineSpecArgumentMode.ModeUnspecified,
Name = "string",
Type = "string",
},
},
RoutineType = GoogleNative.DataCatalog.V1.GoogleCloudDatacatalogV1RoutineSpecRoutineType.RoutineTypeUnspecified,
},
Schema = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1SchemaArgs
{
Columns = new[]
{
new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1ColumnSchemaArgs
{
Column = "string",
Type = "string",
DefaultValue = "string",
Description = "string",
GcRule = "string",
HighestIndexingType = GoogleNative.DataCatalog.V1.GoogleCloudDatacatalogV1ColumnSchemaHighestIndexingType.IndexingTypeUnspecified,
LookerColumnSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1ColumnSchemaLookerColumnSpecArgs
{
Type = GoogleNative.DataCatalog.V1.GoogleCloudDatacatalogV1ColumnSchemaLookerColumnSpecType.LookerColumnTypeUnspecified,
},
Mode = "string",
OrdinalPosition = 0,
Subcolumns = new[]
{
googleCloudDatacatalogV1ColumnSchema,
},
},
},
},
ServiceSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1ServiceSpecArgs
{
CloudBigtableInstanceSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1CloudBigtableInstanceSpecArgs
{
CloudBigtableClusterSpecs = new[]
{
new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1CloudBigtableInstanceSpecCloudBigtableClusterSpecArgs
{
DisplayName = "string",
LinkedResource = "string",
Location = "string",
Type = "string",
},
},
},
},
SourceSystemTimestamps = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1SystemTimestampsArgs
{
CreateTime = "string",
UpdateTime = "string",
},
SqlDatabaseSystemSpec = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1SqlDatabaseSystemSpecArgs
{
DatabaseVersion = "string",
InstanceHost = "string",
SqlEngine = "string",
},
Type = GoogleNative.DataCatalog.V1.EntryType.EntryTypeUnspecified,
UsageSignal = new GoogleNative.DataCatalog.V1.Inputs.GoogleCloudDatacatalogV1UsageSignalArgs
{
CommonUsageWithinTimeRange =
{
{ "string", "string" },
},
FavoriteCount = "string",
UpdateTime = "string",
},
UserSpecifiedSystem = "string",
UserSpecifiedType = "string",
});
example, err := datacatalog.NewEntry(ctx, "google-nativeEntryResource", &datacatalog.EntryArgs{
EntryGroupId: pulumi.String("string"),
EntryId: pulumi.String("string"),
Labels: pulumi.StringMap{
"string": pulumi.String("string"),
},
DisplayName: pulumi.String("string"),
Location: pulumi.String("string"),
Description: pulumi.String("string"),
LookerSystemSpec: &datacatalog.GoogleCloudDatacatalogV1LookerSystemSpecArgs{
ParentInstanceDisplayName: pulumi.String("string"),
ParentInstanceId: pulumi.String("string"),
ParentModelDisplayName: pulumi.String("string"),
ParentModelId: pulumi.String("string"),
ParentViewDisplayName: pulumi.String("string"),
ParentViewId: pulumi.String("string"),
},
DataSourceConnectionSpec: nil,
CloudBigtableSystemSpec: &datacatalog.GoogleCloudDatacatalogV1CloudBigtableSystemSpecArgs{
InstanceDisplayName: pulumi.String("string"),
},
ModelSpec: &datacatalog.GoogleCloudDatacatalogV1ModelSpecArgs{
VertexModelSpec: &datacatalog.GoogleCloudDatacatalogV1VertexModelSpecArgs{
ContainerImageUri: pulumi.String("string"),
VersionAliases: pulumi.StringArray{
pulumi.String("string"),
},
VersionDescription: pulumi.String("string"),
VersionId: pulumi.String("string"),
VertexModelSourceInfo: &datacatalog.GoogleCloudDatacatalogV1VertexModelSourceInfoArgs{
Copy: pulumi.Bool(false),
SourceType: datacatalog.GoogleCloudDatacatalogV1VertexModelSourceInfoSourceTypeModelSourceTypeUnspecified,
},
},
},
FullyQualifiedName: pulumi.String("string"),
GcsFilesetSpec: &datacatalog.GoogleCloudDatacatalogV1GcsFilesetSpecArgs{
FilePatterns: pulumi.StringArray{
pulumi.String("string"),
},
},
BusinessContext: &datacatalog.GoogleCloudDatacatalogV1BusinessContextArgs{
Contacts: &datacatalog.GoogleCloudDatacatalogV1ContactsArgs{
People: datacatalog.GoogleCloudDatacatalogV1ContactsPersonArray{
&datacatalog.GoogleCloudDatacatalogV1ContactsPersonArgs{
Designation: pulumi.String("string"),
Email: pulumi.String("string"),
},
},
},
EntryOverview: &datacatalog.GoogleCloudDatacatalogV1EntryOverviewArgs{
Overview: pulumi.String("string"),
},
},
LinkedResource: pulumi.String("string"),
DatasetSpec: &datacatalog.GoogleCloudDatacatalogV1DatasetSpecArgs{
VertexDatasetSpec: &datacatalog.GoogleCloudDatacatalogV1VertexDatasetSpecArgs{
DataItemCount: pulumi.String("string"),
DataType: datacatalog.GoogleCloudDatacatalogV1VertexDatasetSpecDataTypeDataTypeUnspecified,
},
},
DatabaseTableSpec: &datacatalog.GoogleCloudDatacatalogV1DatabaseTableSpecArgs{
DatabaseViewSpec: &datacatalog.GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpecArgs{
BaseTable: pulumi.String("string"),
SqlQuery: pulumi.String("string"),
ViewType: datacatalog.GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpecViewTypeViewTypeUnspecified,
},
Type: datacatalog.GoogleCloudDatacatalogV1DatabaseTableSpecTypeTableTypeUnspecified,
},
FilesetSpec: &datacatalog.GoogleCloudDatacatalogV1FilesetSpecArgs{
DataplexFileset: &datacatalog.GoogleCloudDatacatalogV1DataplexFilesetSpecArgs{
DataplexSpec: &datacatalog.GoogleCloudDatacatalogV1DataplexSpecArgs{
Asset: pulumi.String("string"),
CompressionFormat: pulumi.String("string"),
DataFormat: &datacatalog.GoogleCloudDatacatalogV1PhysicalSchemaArgs{
Avro: &datacatalog.GoogleCloudDatacatalogV1PhysicalSchemaAvroSchemaArgs{
Text: pulumi.String("string"),
},
Csv: nil,
Orc: nil,
Parquet: nil,
Protobuf: &datacatalog.GoogleCloudDatacatalogV1PhysicalSchemaProtobufSchemaArgs{
Text: pulumi.String("string"),
},
Thrift: &datacatalog.GoogleCloudDatacatalogV1PhysicalSchemaThriftSchemaArgs{
Text: pulumi.String("string"),
},
},
Project: pulumi.String("string"),
},
},
},
Project: pulumi.String("string"),
RoutineSpec: &datacatalog.GoogleCloudDatacatalogV1RoutineSpecArgs{
BigqueryRoutineSpec: &datacatalog.GoogleCloudDatacatalogV1BigQueryRoutineSpecArgs{
ImportedLibraries: pulumi.StringArray{
pulumi.String("string"),
},
},
DefinitionBody: pulumi.String("string"),
Language: pulumi.String("string"),
ReturnType: pulumi.String("string"),
RoutineArguments: datacatalog.GoogleCloudDatacatalogV1RoutineSpecArgumentArray{
&datacatalog.GoogleCloudDatacatalogV1RoutineSpecArgumentArgs{
Mode: datacatalog.GoogleCloudDatacatalogV1RoutineSpecArgumentModeModeUnspecified,
Name: pulumi.String("string"),
Type: pulumi.String("string"),
},
},
RoutineType: datacatalog.GoogleCloudDatacatalogV1RoutineSpecRoutineTypeRoutineTypeUnspecified,
},
Schema: &datacatalog.GoogleCloudDatacatalogV1SchemaArgs{
Columns: []datacatalog.GoogleCloudDatacatalogV1ColumnSchemaArgs{
{
Column: pulumi.String("string"),
Type: pulumi.String("string"),
DefaultValue: pulumi.String("string"),
Description: pulumi.String("string"),
GcRule: pulumi.String("string"),
HighestIndexingType: datacatalog.GoogleCloudDatacatalogV1ColumnSchemaHighestIndexingTypeIndexingTypeUnspecified,
LookerColumnSpec: {
Type: datacatalog.GoogleCloudDatacatalogV1ColumnSchemaLookerColumnSpecTypeLookerColumnTypeUnspecified,
},
Mode: pulumi.String("string"),
OrdinalPosition: pulumi.Int(0),
Subcolumns: datacatalog.GoogleCloudDatacatalogV1ColumnSchemaArray{
googleCloudDatacatalogV1ColumnSchema,
},
},
},
},
ServiceSpec: &datacatalog.GoogleCloudDatacatalogV1ServiceSpecArgs{
CloudBigtableInstanceSpec: &datacatalog.GoogleCloudDatacatalogV1CloudBigtableInstanceSpecArgs{
CloudBigtableClusterSpecs: datacatalog.GoogleCloudDatacatalogV1CloudBigtableInstanceSpecCloudBigtableClusterSpecArray{
&datacatalog.GoogleCloudDatacatalogV1CloudBigtableInstanceSpecCloudBigtableClusterSpecArgs{
DisplayName: pulumi.String("string"),
LinkedResource: pulumi.String("string"),
Location: pulumi.String("string"),
Type: pulumi.String("string"),
},
},
},
},
SourceSystemTimestamps: &datacatalog.GoogleCloudDatacatalogV1SystemTimestampsArgs{
CreateTime: pulumi.String("string"),
UpdateTime: pulumi.String("string"),
},
SqlDatabaseSystemSpec: &datacatalog.GoogleCloudDatacatalogV1SqlDatabaseSystemSpecArgs{
DatabaseVersion: pulumi.String("string"),
InstanceHost: pulumi.String("string"),
SqlEngine: pulumi.String("string"),
},
Type: datacatalog.EntryTypeEntryTypeUnspecified,
UsageSignal: &datacatalog.GoogleCloudDatacatalogV1UsageSignalArgs{
CommonUsageWithinTimeRange: pulumi.StringMap{
"string": pulumi.String("string"),
},
FavoriteCount: pulumi.String("string"),
UpdateTime: pulumi.String("string"),
},
UserSpecifiedSystem: pulumi.String("string"),
UserSpecifiedType: pulumi.String("string"),
})
var google_nativeEntryResource = new Entry("google-nativeEntryResource", EntryArgs.builder()
.entryGroupId("string")
.entryId("string")
.labels(Map.of("string", "string"))
.displayName("string")
.location("string")
.description("string")
.lookerSystemSpec(GoogleCloudDatacatalogV1LookerSystemSpecArgs.builder()
.parentInstanceDisplayName("string")
.parentInstanceId("string")
.parentModelDisplayName("string")
.parentModelId("string")
.parentViewDisplayName("string")
.parentViewId("string")
.build())
.dataSourceConnectionSpec()
.cloudBigtableSystemSpec(GoogleCloudDatacatalogV1CloudBigtableSystemSpecArgs.builder()
.instanceDisplayName("string")
.build())
.modelSpec(GoogleCloudDatacatalogV1ModelSpecArgs.builder()
.vertexModelSpec(GoogleCloudDatacatalogV1VertexModelSpecArgs.builder()
.containerImageUri("string")
.versionAliases("string")
.versionDescription("string")
.versionId("string")
.vertexModelSourceInfo(GoogleCloudDatacatalogV1VertexModelSourceInfoArgs.builder()
.copy(false)
.sourceType("MODEL_SOURCE_TYPE_UNSPECIFIED")
.build())
.build())
.build())
.fullyQualifiedName("string")
.gcsFilesetSpec(GoogleCloudDatacatalogV1GcsFilesetSpecArgs.builder()
.filePatterns("string")
.build())
.businessContext(GoogleCloudDatacatalogV1BusinessContextArgs.builder()
.contacts(GoogleCloudDatacatalogV1ContactsArgs.builder()
.people(GoogleCloudDatacatalogV1ContactsPersonArgs.builder()
.designation("string")
.email("string")
.build())
.build())
.entryOverview(GoogleCloudDatacatalogV1EntryOverviewArgs.builder()
.overview("string")
.build())
.build())
.linkedResource("string")
.datasetSpec(GoogleCloudDatacatalogV1DatasetSpecArgs.builder()
.vertexDatasetSpec(GoogleCloudDatacatalogV1VertexDatasetSpecArgs.builder()
.dataItemCount("string")
.dataType("DATA_TYPE_UNSPECIFIED")
.build())
.build())
.databaseTableSpec(GoogleCloudDatacatalogV1DatabaseTableSpecArgs.builder()
.databaseViewSpec(GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpecArgs.builder()
.baseTable("string")
.sqlQuery("string")
.viewType("VIEW_TYPE_UNSPECIFIED")
.build())
.type("TABLE_TYPE_UNSPECIFIED")
.build())
.filesetSpec(GoogleCloudDatacatalogV1FilesetSpecArgs.builder()
.dataplexFileset(GoogleCloudDatacatalogV1DataplexFilesetSpecArgs.builder()
.dataplexSpec(GoogleCloudDatacatalogV1DataplexSpecArgs.builder()
.asset("string")
.compressionFormat("string")
.dataFormat(GoogleCloudDatacatalogV1PhysicalSchemaArgs.builder()
.avro(GoogleCloudDatacatalogV1PhysicalSchemaAvroSchemaArgs.builder()
.text("string")
.build())
.csv()
.orc()
.parquet()
.protobuf(GoogleCloudDatacatalogV1PhysicalSchemaProtobufSchemaArgs.builder()
.text("string")
.build())
.thrift(GoogleCloudDatacatalogV1PhysicalSchemaThriftSchemaArgs.builder()
.text("string")
.build())
.build())
.project("string")
.build())
.build())
.build())
.project("string")
.routineSpec(GoogleCloudDatacatalogV1RoutineSpecArgs.builder()
.bigqueryRoutineSpec(GoogleCloudDatacatalogV1BigQueryRoutineSpecArgs.builder()
.importedLibraries("string")
.build())
.definitionBody("string")
.language("string")
.returnType("string")
.routineArguments(GoogleCloudDatacatalogV1RoutineSpecArgumentArgs.builder()
.mode("MODE_UNSPECIFIED")
.name("string")
.type("string")
.build())
.routineType("ROUTINE_TYPE_UNSPECIFIED")
.build())
.schema(GoogleCloudDatacatalogV1SchemaArgs.builder()
.columns(GoogleCloudDatacatalogV1ColumnSchemaArgs.builder()
.column("string")
.type("string")
.defaultValue("string")
.description("string")
.gcRule("string")
.highestIndexingType("INDEXING_TYPE_UNSPECIFIED")
.lookerColumnSpec(GoogleCloudDatacatalogV1ColumnSchemaLookerColumnSpecArgs.builder()
.type("LOOKER_COLUMN_TYPE_UNSPECIFIED")
.build())
.mode("string")
.ordinalPosition(0)
.subcolumns(googleCloudDatacatalogV1ColumnSchema)
.build())
.build())
.serviceSpec(GoogleCloudDatacatalogV1ServiceSpecArgs.builder()
.cloudBigtableInstanceSpec(GoogleCloudDatacatalogV1CloudBigtableInstanceSpecArgs.builder()
.cloudBigtableClusterSpecs(GoogleCloudDatacatalogV1CloudBigtableInstanceSpecCloudBigtableClusterSpecArgs.builder()
.displayName("string")
.linkedResource("string")
.location("string")
.type("string")
.build())
.build())
.build())
.sourceSystemTimestamps(GoogleCloudDatacatalogV1SystemTimestampsArgs.builder()
.createTime("string")
.updateTime("string")
.build())
.sqlDatabaseSystemSpec(GoogleCloudDatacatalogV1SqlDatabaseSystemSpecArgs.builder()
.databaseVersion("string")
.instanceHost("string")
.sqlEngine("string")
.build())
.type("ENTRY_TYPE_UNSPECIFIED")
.usageSignal(GoogleCloudDatacatalogV1UsageSignalArgs.builder()
.commonUsageWithinTimeRange(Map.of("string", "string"))
.favoriteCount("string")
.updateTime("string")
.build())
.userSpecifiedSystem("string")
.userSpecifiedType("string")
.build());
google_native_entry_resource = google_native.datacatalog.v1.Entry("google-nativeEntryResource",
entry_group_id="string",
entry_id="string",
labels={
"string": "string",
},
display_name="string",
location="string",
description="string",
looker_system_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1LookerSystemSpecArgs(
parent_instance_display_name="string",
parent_instance_id="string",
parent_model_display_name="string",
parent_model_id="string",
parent_view_display_name="string",
parent_view_id="string",
),
data_source_connection_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1DataSourceConnectionSpecArgs(),
cloud_bigtable_system_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1CloudBigtableSystemSpecArgs(
instance_display_name="string",
),
model_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1ModelSpecArgs(
vertex_model_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1VertexModelSpecArgs(
container_image_uri="string",
version_aliases=["string"],
version_description="string",
version_id="string",
vertex_model_source_info=google_native.datacatalog.v1.GoogleCloudDatacatalogV1VertexModelSourceInfoArgs(
copy=False,
source_type=google_native.datacatalog.v1.GoogleCloudDatacatalogV1VertexModelSourceInfoSourceType.MODEL_SOURCE_TYPE_UNSPECIFIED,
),
),
),
fully_qualified_name="string",
gcs_fileset_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1GcsFilesetSpecArgs(
file_patterns=["string"],
),
business_context=google_native.datacatalog.v1.GoogleCloudDatacatalogV1BusinessContextArgs(
contacts=google_native.datacatalog.v1.GoogleCloudDatacatalogV1ContactsArgs(
people=[google_native.datacatalog.v1.GoogleCloudDatacatalogV1ContactsPersonArgs(
designation="string",
email="string",
)],
),
entry_overview=google_native.datacatalog.v1.GoogleCloudDatacatalogV1EntryOverviewArgs(
overview="string",
),
),
linked_resource="string",
dataset_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1DatasetSpecArgs(
vertex_dataset_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1VertexDatasetSpecArgs(
data_item_count="string",
data_type=google_native.datacatalog.v1.GoogleCloudDatacatalogV1VertexDatasetSpecDataType.DATA_TYPE_UNSPECIFIED,
),
),
database_table_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1DatabaseTableSpecArgs(
database_view_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpecArgs(
base_table="string",
sql_query="string",
view_type=google_native.datacatalog.v1.GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpecViewType.VIEW_TYPE_UNSPECIFIED,
),
type=google_native.datacatalog.v1.GoogleCloudDatacatalogV1DatabaseTableSpecType.TABLE_TYPE_UNSPECIFIED,
),
fileset_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1FilesetSpecArgs(
dataplex_fileset=google_native.datacatalog.v1.GoogleCloudDatacatalogV1DataplexFilesetSpecArgs(
dataplex_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1DataplexSpecArgs(
asset="string",
compression_format="string",
data_format=google_native.datacatalog.v1.GoogleCloudDatacatalogV1PhysicalSchemaArgs(
avro=google_native.datacatalog.v1.GoogleCloudDatacatalogV1PhysicalSchemaAvroSchemaArgs(
text="string",
),
csv=google_native.datacatalog.v1.GoogleCloudDatacatalogV1PhysicalSchemaCsvSchemaArgs(),
orc=google_native.datacatalog.v1.GoogleCloudDatacatalogV1PhysicalSchemaOrcSchemaArgs(),
parquet=google_native.datacatalog.v1.GoogleCloudDatacatalogV1PhysicalSchemaParquetSchemaArgs(),
protobuf=google_native.datacatalog.v1.GoogleCloudDatacatalogV1PhysicalSchemaProtobufSchemaArgs(
text="string",
),
thrift=google_native.datacatalog.v1.GoogleCloudDatacatalogV1PhysicalSchemaThriftSchemaArgs(
text="string",
),
),
project="string",
),
),
),
project="string",
routine_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1RoutineSpecArgs(
bigquery_routine_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1BigQueryRoutineSpecArgs(
imported_libraries=["string"],
),
definition_body="string",
language="string",
return_type="string",
routine_arguments=[google_native.datacatalog.v1.GoogleCloudDatacatalogV1RoutineSpecArgumentArgs(
mode=google_native.datacatalog.v1.GoogleCloudDatacatalogV1RoutineSpecArgumentMode.MODE_UNSPECIFIED,
name="string",
type="string",
)],
routine_type=google_native.datacatalog.v1.GoogleCloudDatacatalogV1RoutineSpecRoutineType.ROUTINE_TYPE_UNSPECIFIED,
),
schema=google_native.datacatalog.v1.GoogleCloudDatacatalogV1SchemaArgs(
columns=[google_native.datacatalog.v1.GoogleCloudDatacatalogV1ColumnSchemaArgs(
column="string",
type="string",
default_value="string",
description="string",
gc_rule="string",
highest_indexing_type=google_native.datacatalog.v1.GoogleCloudDatacatalogV1ColumnSchemaHighestIndexingType.INDEXING_TYPE_UNSPECIFIED,
looker_column_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1ColumnSchemaLookerColumnSpecArgs(
type=google_native.datacatalog.v1.GoogleCloudDatacatalogV1ColumnSchemaLookerColumnSpecType.LOOKER_COLUMN_TYPE_UNSPECIFIED,
),
mode="string",
ordinal_position=0,
subcolumns=[google_cloud_datacatalog_v1_column_schema],
)],
),
service_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1ServiceSpecArgs(
cloud_bigtable_instance_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1CloudBigtableInstanceSpecArgs(
cloud_bigtable_cluster_specs=[google_native.datacatalog.v1.GoogleCloudDatacatalogV1CloudBigtableInstanceSpecCloudBigtableClusterSpecArgs(
display_name="string",
linked_resource="string",
location="string",
type="string",
)],
),
),
source_system_timestamps=google_native.datacatalog.v1.GoogleCloudDatacatalogV1SystemTimestampsArgs(
create_time="string",
update_time="string",
),
sql_database_system_spec=google_native.datacatalog.v1.GoogleCloudDatacatalogV1SqlDatabaseSystemSpecArgs(
database_version="string",
instance_host="string",
sql_engine="string",
),
type=google_native.datacatalog.v1.EntryType.ENTRY_TYPE_UNSPECIFIED,
usage_signal=google_native.datacatalog.v1.GoogleCloudDatacatalogV1UsageSignalArgs(
common_usage_within_time_range={
"string": "string",
},
favorite_count="string",
update_time="string",
),
user_specified_system="string",
user_specified_type="string")
const google_nativeEntryResource = new google_native.datacatalog.v1.Entry("google-nativeEntryResource", {
entryGroupId: "string",
entryId: "string",
labels: {
string: "string",
},
displayName: "string",
location: "string",
description: "string",
lookerSystemSpec: {
parentInstanceDisplayName: "string",
parentInstanceId: "string",
parentModelDisplayName: "string",
parentModelId: "string",
parentViewDisplayName: "string",
parentViewId: "string",
},
dataSourceConnectionSpec: {},
cloudBigtableSystemSpec: {
instanceDisplayName: "string",
},
modelSpec: {
vertexModelSpec: {
containerImageUri: "string",
versionAliases: ["string"],
versionDescription: "string",
versionId: "string",
vertexModelSourceInfo: {
copy: false,
sourceType: google_native.datacatalog.v1.GoogleCloudDatacatalogV1VertexModelSourceInfoSourceType.ModelSourceTypeUnspecified,
},
},
},
fullyQualifiedName: "string",
gcsFilesetSpec: {
filePatterns: ["string"],
},
businessContext: {
contacts: {
people: [{
designation: "string",
email: "string",
}],
},
entryOverview: {
overview: "string",
},
},
linkedResource: "string",
datasetSpec: {
vertexDatasetSpec: {
dataItemCount: "string",
dataType: google_native.datacatalog.v1.GoogleCloudDatacatalogV1VertexDatasetSpecDataType.DataTypeUnspecified,
},
},
databaseTableSpec: {
databaseViewSpec: {
baseTable: "string",
sqlQuery: "string",
viewType: google_native.datacatalog.v1.GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpecViewType.ViewTypeUnspecified,
},
type: google_native.datacatalog.v1.GoogleCloudDatacatalogV1DatabaseTableSpecType.TableTypeUnspecified,
},
filesetSpec: {
dataplexFileset: {
dataplexSpec: {
asset: "string",
compressionFormat: "string",
dataFormat: {
avro: {
text: "string",
},
csv: {},
orc: {},
parquet: {},
protobuf: {
text: "string",
},
thrift: {
text: "string",
},
},
project: "string",
},
},
},
project: "string",
routineSpec: {
bigqueryRoutineSpec: {
importedLibraries: ["string"],
},
definitionBody: "string",
language: "string",
returnType: "string",
routineArguments: [{
mode: google_native.datacatalog.v1.GoogleCloudDatacatalogV1RoutineSpecArgumentMode.ModeUnspecified,
name: "string",
type: "string",
}],
routineType: google_native.datacatalog.v1.GoogleCloudDatacatalogV1RoutineSpecRoutineType.RoutineTypeUnspecified,
},
schema: {
columns: [{
column: "string",
type: "string",
defaultValue: "string",
description: "string",
gcRule: "string",
highestIndexingType: google_native.datacatalog.v1.GoogleCloudDatacatalogV1ColumnSchemaHighestIndexingType.IndexingTypeUnspecified,
lookerColumnSpec: {
type: google_native.datacatalog.v1.GoogleCloudDatacatalogV1ColumnSchemaLookerColumnSpecType.LookerColumnTypeUnspecified,
},
mode: "string",
ordinalPosition: 0,
subcolumns: [googleCloudDatacatalogV1ColumnSchema],
}],
},
serviceSpec: {
cloudBigtableInstanceSpec: {
cloudBigtableClusterSpecs: [{
displayName: "string",
linkedResource: "string",
location: "string",
type: "string",
}],
},
},
sourceSystemTimestamps: {
createTime: "string",
updateTime: "string",
},
sqlDatabaseSystemSpec: {
databaseVersion: "string",
instanceHost: "string",
sqlEngine: "string",
},
type: google_native.datacatalog.v1.EntryType.EntryTypeUnspecified,
usageSignal: {
commonUsageWithinTimeRange: {
string: "string",
},
favoriteCount: "string",
updateTime: "string",
},
userSpecifiedSystem: "string",
userSpecifiedType: "string",
});
type: google-native:datacatalog/v1:Entry
properties:
businessContext:
contacts:
people:
- designation: string
email: string
entryOverview:
overview: string
cloudBigtableSystemSpec:
instanceDisplayName: string
dataSourceConnectionSpec: {}
databaseTableSpec:
databaseViewSpec:
baseTable: string
sqlQuery: string
viewType: VIEW_TYPE_UNSPECIFIED
type: TABLE_TYPE_UNSPECIFIED
datasetSpec:
vertexDatasetSpec:
dataItemCount: string
dataType: DATA_TYPE_UNSPECIFIED
description: string
displayName: string
entryGroupId: string
entryId: string
filesetSpec:
dataplexFileset:
dataplexSpec:
asset: string
compressionFormat: string
dataFormat:
avro:
text: string
csv: {}
orc: {}
parquet: {}
protobuf:
text: string
thrift:
text: string
project: string
fullyQualifiedName: string
gcsFilesetSpec:
filePatterns:
- string
labels:
string: string
linkedResource: string
location: string
lookerSystemSpec:
parentInstanceDisplayName: string
parentInstanceId: string
parentModelDisplayName: string
parentModelId: string
parentViewDisplayName: string
parentViewId: string
modelSpec:
vertexModelSpec:
containerImageUri: string
versionAliases:
- string
versionDescription: string
versionId: string
vertexModelSourceInfo:
copy: false
sourceType: MODEL_SOURCE_TYPE_UNSPECIFIED
project: string
routineSpec:
bigqueryRoutineSpec:
importedLibraries:
- string
definitionBody: string
language: string
returnType: string
routineArguments:
- mode: MODE_UNSPECIFIED
name: string
type: string
routineType: ROUTINE_TYPE_UNSPECIFIED
schema:
columns:
- column: string
defaultValue: string
description: string
gcRule: string
highestIndexingType: INDEXING_TYPE_UNSPECIFIED
lookerColumnSpec:
type: LOOKER_COLUMN_TYPE_UNSPECIFIED
mode: string
ordinalPosition: 0
subcolumns:
- ${googleCloudDatacatalogV1ColumnSchema}
type: string
serviceSpec:
cloudBigtableInstanceSpec:
cloudBigtableClusterSpecs:
- displayName: string
linkedResource: string
location: string
type: string
sourceSystemTimestamps:
createTime: string
updateTime: string
sqlDatabaseSystemSpec:
databaseVersion: string
instanceHost: string
sqlEngine: string
type: ENTRY_TYPE_UNSPECIFIED
usageSignal:
commonUsageWithinTimeRange:
string: string
favoriteCount: string
updateTime: string
userSpecifiedSystem: string
userSpecifiedType: string
Entry Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
The Entry resource accepts the following input properties:
- Entry
Group stringId - Entry
Id string - Required. The ID of the entry to create. The ID must contain only letters (a-z, A-Z), numbers (0-9), and underscores (_). The maximum size is 64 bytes when encoded in UTF-8.
- Business
Context Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Business Context - Business Context of the entry. Not supported for BigQuery datasets
- Cloud
Bigtable Pulumi.System Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Cloud Bigtable System Spec - Specification that applies to Cloud Bigtable system. Only settable when
integrated_system
is equal toCLOUD_BIGTABLE
- Data
Source Pulumi.Connection Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Data Source Connection Spec - Specification that applies to a data source connection. Valid only for entries with the
DATA_SOURCE_CONNECTION
type. - Database
Table Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Database Table Spec - Specification that applies to a table resource. Valid only for entries with the
TABLE
orEXPLORE
type. - Dataset
Spec Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Dataset Spec - Specification that applies to a dataset.
- Description string
- Entry description that can consist of several sentences or paragraphs that describe entry contents. The description must not contain Unicode non-characters as well as C0 and C1 control codes except tabs (HT), new lines (LF), carriage returns (CR), and page breaks (FF). The maximum size is 2000 bytes when encoded in UTF-8. Default value is an empty string.
- Display
Name string - Display name of an entry. The maximum size is 500 bytes when encoded in UTF-8. Default value is an empty string.
- Fileset
Spec Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Fileset Spec - Specification that applies to a fileset resource. Valid only for entries with the
FILESET
type. - Fully
Qualified stringName - Fully Qualified Name (FQN) of the resource. Set automatically for entries representing resources from synced systems. Settable only during creation, and read-only later. Can be used for search and lookup of the entries.
- Gcs
Fileset Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Gcs Fileset Spec - Specification that applies to a Cloud Storage fileset. Valid only for entries with the
FILESET
type. - Labels Dictionary<string, string>
- Cloud labels attached to the entry. In Data Catalog, you can create and modify labels attached only to custom entries. Synced entries have unmodifiable labels that come from the source system.
- Linked
Resource string - The resource this metadata entry refers to. For Google Cloud Platform resources,
linked_resource
is the [Full Resource Name] (https://cloud.google.com/apis/design/resource_names#full_resource_name). For example, thelinked_resource
for a table resource from BigQuery is://bigquery.googleapis.com/projects/{PROJECT_ID}/datasets/{DATASET_ID}/tables/{TABLE_ID}
Output only when the entry is one of the types in theEntryType
enum. For entries with auser_specified_type
, this field is optional and defaults to an empty string. The resource string must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), periods (.), colons (:), slashes (/), dashes (-), and hashes (#). The maximum size is 200 bytes when encoded in UTF-8. - Location string
- Looker
System Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Looker System Spec - Specification that applies to Looker sysstem. Only settable when
user_specified_system
is equal toLOOKER
- Model
Spec Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Model Spec - Model specification.
- Project string
- Routine
Spec Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Routine Spec - Specification that applies to a user-defined function or procedure. Valid only for entries with the
ROUTINE
type. - Schema
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Schema - Schema of the entry. An entry might not have any schema attached to it.
- Service
Spec Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Service Spec - Specification that applies to a Service resource.
- Source
System Pulumi.Timestamps Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1System Timestamps - Timestamps from the underlying resource, not from the Data Catalog entry. Output only when the entry has a system listed in the
IntegratedSystem
enum. For entries withuser_specified_system
, this field is optional and defaults to an empty timestamp. - Sql
Database Pulumi.System Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Sql Database System Spec - Specification that applies to a relational database system. Only settable when
user_specified_system
is equal toSQL_DATABASE
- Type
Pulumi.
Google Native. Data Catalog. V1. Entry Type - The type of the entry. For details, see
EntryType
. - Usage
Signal Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Usage Signal - Resource usage statistics.
- User
Specified stringSystem - Indicates the entry's source system that Data Catalog doesn't automatically integrate with. The
user_specified_system
string has the following limitations: * Is case insensitive. * Must begin with a letter or underscore. * Can only contain letters, numbers, and underscores. * Must be at least 1 character and at most 64 characters long. - User
Specified stringType - Custom entry type that doesn't match any of the values allowed for input and listed in the
EntryType
enum. When creating an entry, first check the type values in the enum. If there are no appropriate types for the new entry, provide a custom value, for example,my_special_type
. Theuser_specified_type
string has the following limitations: * Is case insensitive. * Must begin with a letter or underscore. * Can only contain letters, numbers, and underscores. * Must be at least 1 character and at most 64 characters long.
- Entry
Group stringId - Entry
Id string - Required. The ID of the entry to create. The ID must contain only letters (a-z, A-Z), numbers (0-9), and underscores (_). The maximum size is 64 bytes when encoded in UTF-8.
- Business
Context GoogleCloud Datacatalog V1Business Context Args - Business Context of the entry. Not supported for BigQuery datasets
- Cloud
Bigtable GoogleSystem Spec Cloud Datacatalog V1Cloud Bigtable System Spec Args - Specification that applies to Cloud Bigtable system. Only settable when
integrated_system
is equal toCLOUD_BIGTABLE
- Data
Source GoogleConnection Spec Cloud Datacatalog V1Data Source Connection Spec Args - Specification that applies to a data source connection. Valid only for entries with the
DATA_SOURCE_CONNECTION
type. - Database
Table GoogleSpec Cloud Datacatalog V1Database Table Spec Args - Specification that applies to a table resource. Valid only for entries with the
TABLE
orEXPLORE
type. - Dataset
Spec GoogleCloud Datacatalog V1Dataset Spec Args - Specification that applies to a dataset.
- Description string
- Entry description that can consist of several sentences or paragraphs that describe entry contents. The description must not contain Unicode non-characters as well as C0 and C1 control codes except tabs (HT), new lines (LF), carriage returns (CR), and page breaks (FF). The maximum size is 2000 bytes when encoded in UTF-8. Default value is an empty string.
- Display
Name string - Display name of an entry. The maximum size is 500 bytes when encoded in UTF-8. Default value is an empty string.
- Fileset
Spec GoogleCloud Datacatalog V1Fileset Spec Args - Specification that applies to a fileset resource. Valid only for entries with the
FILESET
type. - Fully
Qualified stringName - Fully Qualified Name (FQN) of the resource. Set automatically for entries representing resources from synced systems. Settable only during creation, and read-only later. Can be used for search and lookup of the entries.
- Gcs
Fileset GoogleSpec Cloud Datacatalog V1Gcs Fileset Spec Args - Specification that applies to a Cloud Storage fileset. Valid only for entries with the
FILESET
type. - Labels map[string]string
- Cloud labels attached to the entry. In Data Catalog, you can create and modify labels attached only to custom entries. Synced entries have unmodifiable labels that come from the source system.
- Linked
Resource string - The resource this metadata entry refers to. For Google Cloud Platform resources,
linked_resource
is the [Full Resource Name] (https://cloud.google.com/apis/design/resource_names#full_resource_name). For example, thelinked_resource
for a table resource from BigQuery is://bigquery.googleapis.com/projects/{PROJECT_ID}/datasets/{DATASET_ID}/tables/{TABLE_ID}
Output only when the entry is one of the types in theEntryType
enum. For entries with auser_specified_type
, this field is optional and defaults to an empty string. The resource string must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), periods (.), colons (:), slashes (/), dashes (-), and hashes (#). The maximum size is 200 bytes when encoded in UTF-8. - Location string
- Looker
System GoogleSpec Cloud Datacatalog V1Looker System Spec Args - Specification that applies to Looker sysstem. Only settable when
user_specified_system
is equal toLOOKER
- Model
Spec GoogleCloud Datacatalog V1Model Spec Args - Model specification.
- Project string
- Routine
Spec GoogleCloud Datacatalog V1Routine Spec Args - Specification that applies to a user-defined function or procedure. Valid only for entries with the
ROUTINE
type. - Schema
Google
Cloud Datacatalog V1Schema Args - Schema of the entry. An entry might not have any schema attached to it.
- Service
Spec GoogleCloud Datacatalog V1Service Spec Args - Specification that applies to a Service resource.
- Source
System GoogleTimestamps Cloud Datacatalog V1System Timestamps Args - Timestamps from the underlying resource, not from the Data Catalog entry. Output only when the entry has a system listed in the
IntegratedSystem
enum. For entries withuser_specified_system
, this field is optional and defaults to an empty timestamp. - Sql
Database GoogleSystem Spec Cloud Datacatalog V1Sql Database System Spec Args - Specification that applies to a relational database system. Only settable when
user_specified_system
is equal toSQL_DATABASE
- Type
Entry
Type - The type of the entry. For details, see
EntryType
. - Usage
Signal GoogleCloud Datacatalog V1Usage Signal Args - Resource usage statistics.
- User
Specified stringSystem - Indicates the entry's source system that Data Catalog doesn't automatically integrate with. The
user_specified_system
string has the following limitations: * Is case insensitive. * Must begin with a letter or underscore. * Can only contain letters, numbers, and underscores. * Must be at least 1 character and at most 64 characters long. - User
Specified stringType - Custom entry type that doesn't match any of the values allowed for input and listed in the
EntryType
enum. When creating an entry, first check the type values in the enum. If there are no appropriate types for the new entry, provide a custom value, for example,my_special_type
. Theuser_specified_type
string has the following limitations: * Is case insensitive. * Must begin with a letter or underscore. * Can only contain letters, numbers, and underscores. * Must be at least 1 character and at most 64 characters long.
- entry
Group StringId - entry
Id String - Required. The ID of the entry to create. The ID must contain only letters (a-z, A-Z), numbers (0-9), and underscores (_). The maximum size is 64 bytes when encoded in UTF-8.
- business
Context GoogleCloud Datacatalog V1Business Context - Business Context of the entry. Not supported for BigQuery datasets
- cloud
Bigtable GoogleSystem Spec Cloud Datacatalog V1Cloud Bigtable System Spec - Specification that applies to Cloud Bigtable system. Only settable when
integrated_system
is equal toCLOUD_BIGTABLE
- data
Source GoogleConnection Spec Cloud Datacatalog V1Data Source Connection Spec - Specification that applies to a data source connection. Valid only for entries with the
DATA_SOURCE_CONNECTION
type. - database
Table GoogleSpec Cloud Datacatalog V1Database Table Spec - Specification that applies to a table resource. Valid only for entries with the
TABLE
orEXPLORE
type. - dataset
Spec GoogleCloud Datacatalog V1Dataset Spec - Specification that applies to a dataset.
- description String
- Entry description that can consist of several sentences or paragraphs that describe entry contents. The description must not contain Unicode non-characters as well as C0 and C1 control codes except tabs (HT), new lines (LF), carriage returns (CR), and page breaks (FF). The maximum size is 2000 bytes when encoded in UTF-8. Default value is an empty string.
- display
Name String - Display name of an entry. The maximum size is 500 bytes when encoded in UTF-8. Default value is an empty string.
- fileset
Spec GoogleCloud Datacatalog V1Fileset Spec - Specification that applies to a fileset resource. Valid only for entries with the
FILESET
type. - fully
Qualified StringName - Fully Qualified Name (FQN) of the resource. Set automatically for entries representing resources from synced systems. Settable only during creation, and read-only later. Can be used for search and lookup of the entries.
- gcs
Fileset GoogleSpec Cloud Datacatalog V1Gcs Fileset Spec - Specification that applies to a Cloud Storage fileset. Valid only for entries with the
FILESET
type. - labels Map<String,String>
- Cloud labels attached to the entry. In Data Catalog, you can create and modify labels attached only to custom entries. Synced entries have unmodifiable labels that come from the source system.
- linked
Resource String - The resource this metadata entry refers to. For Google Cloud Platform resources,
linked_resource
is the [Full Resource Name] (https://cloud.google.com/apis/design/resource_names#full_resource_name). For example, thelinked_resource
for a table resource from BigQuery is://bigquery.googleapis.com/projects/{PROJECT_ID}/datasets/{DATASET_ID}/tables/{TABLE_ID}
Output only when the entry is one of the types in theEntryType
enum. For entries with auser_specified_type
, this field is optional and defaults to an empty string. The resource string must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), periods (.), colons (:), slashes (/), dashes (-), and hashes (#). The maximum size is 200 bytes when encoded in UTF-8. - location String
- looker
System GoogleSpec Cloud Datacatalog V1Looker System Spec - Specification that applies to Looker sysstem. Only settable when
user_specified_system
is equal toLOOKER
- model
Spec GoogleCloud Datacatalog V1Model Spec - Model specification.
- project String
- routine
Spec GoogleCloud Datacatalog V1Routine Spec - Specification that applies to a user-defined function or procedure. Valid only for entries with the
ROUTINE
type. - schema
Google
Cloud Datacatalog V1Schema - Schema of the entry. An entry might not have any schema attached to it.
- service
Spec GoogleCloud Datacatalog V1Service Spec - Specification that applies to a Service resource.
- source
System GoogleTimestamps Cloud Datacatalog V1System Timestamps - Timestamps from the underlying resource, not from the Data Catalog entry. Output only when the entry has a system listed in the
IntegratedSystem
enum. For entries withuser_specified_system
, this field is optional and defaults to an empty timestamp. - sql
Database GoogleSystem Spec Cloud Datacatalog V1Sql Database System Spec - Specification that applies to a relational database system. Only settable when
user_specified_system
is equal toSQL_DATABASE
- type
Entry
Type - The type of the entry. For details, see
EntryType
. - usage
Signal GoogleCloud Datacatalog V1Usage Signal - Resource usage statistics.
- user
Specified StringSystem - Indicates the entry's source system that Data Catalog doesn't automatically integrate with. The
user_specified_system
string has the following limitations: * Is case insensitive. * Must begin with a letter or underscore. * Can only contain letters, numbers, and underscores. * Must be at least 1 character and at most 64 characters long. - user
Specified StringType - Custom entry type that doesn't match any of the values allowed for input and listed in the
EntryType
enum. When creating an entry, first check the type values in the enum. If there are no appropriate types for the new entry, provide a custom value, for example,my_special_type
. Theuser_specified_type
string has the following limitations: * Is case insensitive. * Must begin with a letter or underscore. * Can only contain letters, numbers, and underscores. * Must be at least 1 character and at most 64 characters long.
- entry
Group stringId - entry
Id string - Required. The ID of the entry to create. The ID must contain only letters (a-z, A-Z), numbers (0-9), and underscores (_). The maximum size is 64 bytes when encoded in UTF-8.
- business
Context GoogleCloud Datacatalog V1Business Context - Business Context of the entry. Not supported for BigQuery datasets
- cloud
Bigtable GoogleSystem Spec Cloud Datacatalog V1Cloud Bigtable System Spec - Specification that applies to Cloud Bigtable system. Only settable when
integrated_system
is equal toCLOUD_BIGTABLE
- data
Source GoogleConnection Spec Cloud Datacatalog V1Data Source Connection Spec - Specification that applies to a data source connection. Valid only for entries with the
DATA_SOURCE_CONNECTION
type. - database
Table GoogleSpec Cloud Datacatalog V1Database Table Spec - Specification that applies to a table resource. Valid only for entries with the
TABLE
orEXPLORE
type. - dataset
Spec GoogleCloud Datacatalog V1Dataset Spec - Specification that applies to a dataset.
- description string
- Entry description that can consist of several sentences or paragraphs that describe entry contents. The description must not contain Unicode non-characters as well as C0 and C1 control codes except tabs (HT), new lines (LF), carriage returns (CR), and page breaks (FF). The maximum size is 2000 bytes when encoded in UTF-8. Default value is an empty string.
- display
Name string - Display name of an entry. The maximum size is 500 bytes when encoded in UTF-8. Default value is an empty string.
- fileset
Spec GoogleCloud Datacatalog V1Fileset Spec - Specification that applies to a fileset resource. Valid only for entries with the
FILESET
type. - fully
Qualified stringName - Fully Qualified Name (FQN) of the resource. Set automatically for entries representing resources from synced systems. Settable only during creation, and read-only later. Can be used for search and lookup of the entries.
- gcs
Fileset GoogleSpec Cloud Datacatalog V1Gcs Fileset Spec - Specification that applies to a Cloud Storage fileset. Valid only for entries with the
FILESET
type. - labels {[key: string]: string}
- Cloud labels attached to the entry. In Data Catalog, you can create and modify labels attached only to custom entries. Synced entries have unmodifiable labels that come from the source system.
- linked
Resource string - The resource this metadata entry refers to. For Google Cloud Platform resources,
linked_resource
is the [Full Resource Name] (https://cloud.google.com/apis/design/resource_names#full_resource_name). For example, thelinked_resource
for a table resource from BigQuery is://bigquery.googleapis.com/projects/{PROJECT_ID}/datasets/{DATASET_ID}/tables/{TABLE_ID}
Output only when the entry is one of the types in theEntryType
enum. For entries with auser_specified_type
, this field is optional and defaults to an empty string. The resource string must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), periods (.), colons (:), slashes (/), dashes (-), and hashes (#). The maximum size is 200 bytes when encoded in UTF-8. - location string
- looker
System GoogleSpec Cloud Datacatalog V1Looker System Spec - Specification that applies to Looker sysstem. Only settable when
user_specified_system
is equal toLOOKER
- model
Spec GoogleCloud Datacatalog V1Model Spec - Model specification.
- project string
- routine
Spec GoogleCloud Datacatalog V1Routine Spec - Specification that applies to a user-defined function or procedure. Valid only for entries with the
ROUTINE
type. - schema
Google
Cloud Datacatalog V1Schema - Schema of the entry. An entry might not have any schema attached to it.
- service
Spec GoogleCloud Datacatalog V1Service Spec - Specification that applies to a Service resource.
- source
System GoogleTimestamps Cloud Datacatalog V1System Timestamps - Timestamps from the underlying resource, not from the Data Catalog entry. Output only when the entry has a system listed in the
IntegratedSystem
enum. For entries withuser_specified_system
, this field is optional and defaults to an empty timestamp. - sql
Database GoogleSystem Spec Cloud Datacatalog V1Sql Database System Spec - Specification that applies to a relational database system. Only settable when
user_specified_system
is equal toSQL_DATABASE
- type
Entry
Type - The type of the entry. For details, see
EntryType
. - usage
Signal GoogleCloud Datacatalog V1Usage Signal - Resource usage statistics.
- user
Specified stringSystem - Indicates the entry's source system that Data Catalog doesn't automatically integrate with. The
user_specified_system
string has the following limitations: * Is case insensitive. * Must begin with a letter or underscore. * Can only contain letters, numbers, and underscores. * Must be at least 1 character and at most 64 characters long. - user
Specified stringType - Custom entry type that doesn't match any of the values allowed for input and listed in the
EntryType
enum. When creating an entry, first check the type values in the enum. If there are no appropriate types for the new entry, provide a custom value, for example,my_special_type
. Theuser_specified_type
string has the following limitations: * Is case insensitive. * Must begin with a letter or underscore. * Can only contain letters, numbers, and underscores. * Must be at least 1 character and at most 64 characters long.
- entry_
group_ strid - entry_
id str - Required. The ID of the entry to create. The ID must contain only letters (a-z, A-Z), numbers (0-9), and underscores (_). The maximum size is 64 bytes when encoded in UTF-8.
- business_
context GoogleCloud Datacatalog V1Business Context Args - Business Context of the entry. Not supported for BigQuery datasets
- cloud_
bigtable_ Googlesystem_ spec Cloud Datacatalog V1Cloud Bigtable System Spec Args - Specification that applies to Cloud Bigtable system. Only settable when
integrated_system
is equal toCLOUD_BIGTABLE
- data_
source_ Googleconnection_ spec Cloud Datacatalog V1Data Source Connection Spec Args - Specification that applies to a data source connection. Valid only for entries with the
DATA_SOURCE_CONNECTION
type. - database_
table_ Googlespec Cloud Datacatalog V1Database Table Spec Args - Specification that applies to a table resource. Valid only for entries with the
TABLE
orEXPLORE
type. - dataset_
spec GoogleCloud Datacatalog V1Dataset Spec Args - Specification that applies to a dataset.
- description str
- Entry description that can consist of several sentences or paragraphs that describe entry contents. The description must not contain Unicode non-characters as well as C0 and C1 control codes except tabs (HT), new lines (LF), carriage returns (CR), and page breaks (FF). The maximum size is 2000 bytes when encoded in UTF-8. Default value is an empty string.
- display_
name str - Display name of an entry. The maximum size is 500 bytes when encoded in UTF-8. Default value is an empty string.
- fileset_
spec GoogleCloud Datacatalog V1Fileset Spec Args - Specification that applies to a fileset resource. Valid only for entries with the
FILESET
type. - fully_
qualified_ strname - Fully Qualified Name (FQN) of the resource. Set automatically for entries representing resources from synced systems. Settable only during creation, and read-only later. Can be used for search and lookup of the entries.
- gcs_
fileset_ Googlespec Cloud Datacatalog V1Gcs Fileset Spec Args - Specification that applies to a Cloud Storage fileset. Valid only for entries with the
FILESET
type. - labels Mapping[str, str]
- Cloud labels attached to the entry. In Data Catalog, you can create and modify labels attached only to custom entries. Synced entries have unmodifiable labels that come from the source system.
- linked_
resource str - The resource this metadata entry refers to. For Google Cloud Platform resources,
linked_resource
is the [Full Resource Name] (https://cloud.google.com/apis/design/resource_names#full_resource_name). For example, thelinked_resource
for a table resource from BigQuery is://bigquery.googleapis.com/projects/{PROJECT_ID}/datasets/{DATASET_ID}/tables/{TABLE_ID}
Output only when the entry is one of the types in theEntryType
enum. For entries with auser_specified_type
, this field is optional and defaults to an empty string. The resource string must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), periods (.), colons (:), slashes (/), dashes (-), and hashes (#). The maximum size is 200 bytes when encoded in UTF-8. - location str
- looker_
system_ Googlespec Cloud Datacatalog V1Looker System Spec Args - Specification that applies to Looker sysstem. Only settable when
user_specified_system
is equal toLOOKER
- model_
spec GoogleCloud Datacatalog V1Model Spec Args - Model specification.
- project str
- routine_
spec GoogleCloud Datacatalog V1Routine Spec Args - Specification that applies to a user-defined function or procedure. Valid only for entries with the
ROUTINE
type. - schema
Google
Cloud Datacatalog V1Schema Args - Schema of the entry. An entry might not have any schema attached to it.
- service_
spec GoogleCloud Datacatalog V1Service Spec Args - Specification that applies to a Service resource.
- source_
system_ Googletimestamps Cloud Datacatalog V1System Timestamps Args - Timestamps from the underlying resource, not from the Data Catalog entry. Output only when the entry has a system listed in the
IntegratedSystem
enum. For entries withuser_specified_system
, this field is optional and defaults to an empty timestamp. - sql_
database_ Googlesystem_ spec Cloud Datacatalog V1Sql Database System Spec Args - Specification that applies to a relational database system. Only settable when
user_specified_system
is equal toSQL_DATABASE
- type
Entry
Type - The type of the entry. For details, see
EntryType
. - usage_
signal GoogleCloud Datacatalog V1Usage Signal Args - Resource usage statistics.
- user_
specified_ strsystem - Indicates the entry's source system that Data Catalog doesn't automatically integrate with. The
user_specified_system
string has the following limitations: * Is case insensitive. * Must begin with a letter or underscore. * Can only contain letters, numbers, and underscores. * Must be at least 1 character and at most 64 characters long. - user_
specified_ strtype - Custom entry type that doesn't match any of the values allowed for input and listed in the
EntryType
enum. When creating an entry, first check the type values in the enum. If there are no appropriate types for the new entry, provide a custom value, for example,my_special_type
. Theuser_specified_type
string has the following limitations: * Is case insensitive. * Must begin with a letter or underscore. * Can only contain letters, numbers, and underscores. * Must be at least 1 character and at most 64 characters long.
- entry
Group StringId - entry
Id String - Required. The ID of the entry to create. The ID must contain only letters (a-z, A-Z), numbers (0-9), and underscores (_). The maximum size is 64 bytes when encoded in UTF-8.
- business
Context Property Map - Business Context of the entry. Not supported for BigQuery datasets
- cloud
Bigtable Property MapSystem Spec - Specification that applies to Cloud Bigtable system. Only settable when
integrated_system
is equal toCLOUD_BIGTABLE
- data
Source Property MapConnection Spec - Specification that applies to a data source connection. Valid only for entries with the
DATA_SOURCE_CONNECTION
type. - database
Table Property MapSpec - Specification that applies to a table resource. Valid only for entries with the
TABLE
orEXPLORE
type. - dataset
Spec Property Map - Specification that applies to a dataset.
- description String
- Entry description that can consist of several sentences or paragraphs that describe entry contents. The description must not contain Unicode non-characters as well as C0 and C1 control codes except tabs (HT), new lines (LF), carriage returns (CR), and page breaks (FF). The maximum size is 2000 bytes when encoded in UTF-8. Default value is an empty string.
- display
Name String - Display name of an entry. The maximum size is 500 bytes when encoded in UTF-8. Default value is an empty string.
- fileset
Spec Property Map - Specification that applies to a fileset resource. Valid only for entries with the
FILESET
type. - fully
Qualified StringName - Fully Qualified Name (FQN) of the resource. Set automatically for entries representing resources from synced systems. Settable only during creation, and read-only later. Can be used for search and lookup of the entries.
- gcs
Fileset Property MapSpec - Specification that applies to a Cloud Storage fileset. Valid only for entries with the
FILESET
type. - labels Map<String>
- Cloud labels attached to the entry. In Data Catalog, you can create and modify labels attached only to custom entries. Synced entries have unmodifiable labels that come from the source system.
- linked
Resource String - The resource this metadata entry refers to. For Google Cloud Platform resources,
linked_resource
is the [Full Resource Name] (https://cloud.google.com/apis/design/resource_names#full_resource_name). For example, thelinked_resource
for a table resource from BigQuery is://bigquery.googleapis.com/projects/{PROJECT_ID}/datasets/{DATASET_ID}/tables/{TABLE_ID}
Output only when the entry is one of the types in theEntryType
enum. For entries with auser_specified_type
, this field is optional and defaults to an empty string. The resource string must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), periods (.), colons (:), slashes (/), dashes (-), and hashes (#). The maximum size is 200 bytes when encoded in UTF-8. - location String
- looker
System Property MapSpec - Specification that applies to Looker sysstem. Only settable when
user_specified_system
is equal toLOOKER
- model
Spec Property Map - Model specification.
- project String
- routine
Spec Property Map - Specification that applies to a user-defined function or procedure. Valid only for entries with the
ROUTINE
type. - schema Property Map
- Schema of the entry. An entry might not have any schema attached to it.
- service
Spec Property Map - Specification that applies to a Service resource.
- source
System Property MapTimestamps - Timestamps from the underlying resource, not from the Data Catalog entry. Output only when the entry has a system listed in the
IntegratedSystem
enum. For entries withuser_specified_system
, this field is optional and defaults to an empty timestamp. - sql
Database Property MapSystem Spec - Specification that applies to a relational database system. Only settable when
user_specified_system
is equal toSQL_DATABASE
- type "ENTRY_TYPE_UNSPECIFIED" | "TABLE" | "MODEL" | "DATA_STREAM" | "FILESET" | "CLUSTER" | "DATABASE" | "DATA_SOURCE_CONNECTION" | "ROUTINE" | "LAKE" | "ZONE" | "SERVICE" | "DATABASE_SCHEMA" | "DASHBOARD" | "EXPLORE" | "LOOK"
- The type of the entry. For details, see
EntryType
. - usage
Signal Property Map - Resource usage statistics.
- user
Specified StringSystem - Indicates the entry's source system that Data Catalog doesn't automatically integrate with. The
user_specified_system
string has the following limitations: * Is case insensitive. * Must begin with a letter or underscore. * Can only contain letters, numbers, and underscores. * Must be at least 1 character and at most 64 characters long. - user
Specified StringType - Custom entry type that doesn't match any of the values allowed for input and listed in the
EntryType
enum. When creating an entry, first check the type values in the enum. If there are no appropriate types for the new entry, provide a custom value, for example,my_special_type
. Theuser_specified_type
string has the following limitations: * Is case insensitive. * Must begin with a letter or underscore. * Can only contain letters, numbers, and underscores. * Must be at least 1 character and at most 64 characters long.
Outputs
All input properties are implicitly available as output properties. Additionally, the Entry resource produces the following output properties:
- Bigquery
Date Pulumi.Sharded Spec Google Native. Data Catalog. V1. Outputs. Google Cloud Datacatalog V1Big Query Date Sharded Spec Response - Specification for a group of BigQuery tables with the
[prefix]YYYYMMDD
name pattern. For more information, see [Introduction to partitioned tables] (https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding). - Bigquery
Table Pulumi.Spec Google Native. Data Catalog. V1. Outputs. Google Cloud Datacatalog V1Big Query Table Spec Response - Specification that applies to a BigQuery table. Valid only for entries with the
TABLE
type. - Data
Source Pulumi.Google Native. Data Catalog. V1. Outputs. Google Cloud Datacatalog V1Data Source Response - Physical location of the entry.
- Id string
- The provider-assigned unique ID for this managed resource.
- Integrated
System string - Indicates the entry's source system that Data Catalog integrates with, such as BigQuery, Pub/Sub, or Dataproc Metastore.
- Name string
- The resource name of an entry in URL format. Note: The entry itself and its child resources might not be stored in the location specified in its name.
- Personal
Details Pulumi.Google Native. Data Catalog. V1. Outputs. Google Cloud Datacatalog V1Personal Details Response - Additional information related to the entry. Private to the current user.
- Bigquery
Date GoogleSharded Spec Cloud Datacatalog V1Big Query Date Sharded Spec Response - Specification for a group of BigQuery tables with the
[prefix]YYYYMMDD
name pattern. For more information, see [Introduction to partitioned tables] (https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding). - Bigquery
Table GoogleSpec Cloud Datacatalog V1Big Query Table Spec Response - Specification that applies to a BigQuery table. Valid only for entries with the
TABLE
type. - Data
Source GoogleCloud Datacatalog V1Data Source Response - Physical location of the entry.
- Id string
- The provider-assigned unique ID for this managed resource.
- Integrated
System string - Indicates the entry's source system that Data Catalog integrates with, such as BigQuery, Pub/Sub, or Dataproc Metastore.
- Name string
- The resource name of an entry in URL format. Note: The entry itself and its child resources might not be stored in the location specified in its name.
- Personal
Details GoogleCloud Datacatalog V1Personal Details Response - Additional information related to the entry. Private to the current user.
- bigquery
Date GoogleSharded Spec Cloud Datacatalog V1Big Query Date Sharded Spec Response - Specification for a group of BigQuery tables with the
[prefix]YYYYMMDD
name pattern. For more information, see [Introduction to partitioned tables] (https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding). - bigquery
Table GoogleSpec Cloud Datacatalog V1Big Query Table Spec Response - Specification that applies to a BigQuery table. Valid only for entries with the
TABLE
type. - data
Source GoogleCloud Datacatalog V1Data Source Response - Physical location of the entry.
- id String
- The provider-assigned unique ID for this managed resource.
- integrated
System String - Indicates the entry's source system that Data Catalog integrates with, such as BigQuery, Pub/Sub, or Dataproc Metastore.
- name String
- The resource name of an entry in URL format. Note: The entry itself and its child resources might not be stored in the location specified in its name.
- personal
Details GoogleCloud Datacatalog V1Personal Details Response - Additional information related to the entry. Private to the current user.
- bigquery
Date GoogleSharded Spec Cloud Datacatalog V1Big Query Date Sharded Spec Response - Specification for a group of BigQuery tables with the
[prefix]YYYYMMDD
name pattern. For more information, see [Introduction to partitioned tables] (https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding). - bigquery
Table GoogleSpec Cloud Datacatalog V1Big Query Table Spec Response - Specification that applies to a BigQuery table. Valid only for entries with the
TABLE
type. - data
Source GoogleCloud Datacatalog V1Data Source Response - Physical location of the entry.
- id string
- The provider-assigned unique ID for this managed resource.
- integrated
System string - Indicates the entry's source system that Data Catalog integrates with, such as BigQuery, Pub/Sub, or Dataproc Metastore.
- name string
- The resource name of an entry in URL format. Note: The entry itself and its child resources might not be stored in the location specified in its name.
- personal
Details GoogleCloud Datacatalog V1Personal Details Response - Additional information related to the entry. Private to the current user.
- bigquery_
date_ Googlesharded_ spec Cloud Datacatalog V1Big Query Date Sharded Spec Response - Specification for a group of BigQuery tables with the
[prefix]YYYYMMDD
name pattern. For more information, see [Introduction to partitioned tables] (https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding). - bigquery_
table_ Googlespec Cloud Datacatalog V1Big Query Table Spec Response - Specification that applies to a BigQuery table. Valid only for entries with the
TABLE
type. - data_
source GoogleCloud Datacatalog V1Data Source Response - Physical location of the entry.
- id str
- The provider-assigned unique ID for this managed resource.
- integrated_
system str - Indicates the entry's source system that Data Catalog integrates with, such as BigQuery, Pub/Sub, or Dataproc Metastore.
- name str
- The resource name of an entry in URL format. Note: The entry itself and its child resources might not be stored in the location specified in its name.
- personal_
details GoogleCloud Datacatalog V1Personal Details Response - Additional information related to the entry. Private to the current user.
- bigquery
Date Property MapSharded Spec - Specification for a group of BigQuery tables with the
[prefix]YYYYMMDD
name pattern. For more information, see [Introduction to partitioned tables] (https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding). - bigquery
Table Property MapSpec - Specification that applies to a BigQuery table. Valid only for entries with the
TABLE
type. - data
Source Property Map - Physical location of the entry.
- id String
- The provider-assigned unique ID for this managed resource.
- integrated
System String - Indicates the entry's source system that Data Catalog integrates with, such as BigQuery, Pub/Sub, or Dataproc Metastore.
- name String
- The resource name of an entry in URL format. Note: The entry itself and its child resources might not be stored in the location specified in its name.
- personal
Details Property Map - Additional information related to the entry. Private to the current user.
Supporting Types
EntryType, EntryTypeArgs
- Entry
Type Unspecified - ENTRY_TYPE_UNSPECIFIEDDefault unknown type.
- Table
- TABLEThe entry type that has a GoogleSQL schema, including logical views.
- Model
- MODELThe type of models. For more information, see Supported models in BigQuery ML.
- Data
Stream - DATA_STREAMAn entry type for streaming entries. For example, a Pub/Sub topic.
- Fileset
- FILESETAn entry type for a set of files or objects. For example, a Cloud Storage fileset.
- Cluster
- CLUSTERA group of servers that work together. For example, a Kafka cluster.
- Database
- DATABASEA database.
- Data
Source Connection - DATA_SOURCE_CONNECTIONConnection to a data source. For example, a BigQuery connection.
- Routine
- ROUTINERoutine, for example, a BigQuery routine.
- Lake
- LAKEA Dataplex lake.
- Zone
- ZONEA Dataplex zone.
- Service
- SERVICEA service, for example, a Dataproc Metastore service.
- Database
Schema - DATABASE_SCHEMASchema within a relational database.
- Dashboard
- DASHBOARDA Dashboard, for example from Looker.
- Explore
- EXPLOREA Looker Explore. For more information, see [Looker Explore API] (https://developers.looker.com/api/explorer/4.0/methods/LookmlModel/lookml_model_explore).
- Look
- LOOKA Looker Look. For more information, see [Looker Look API] (https://developers.looker.com/api/explorer/4.0/methods/Look).
- Entry
Type Entry Type Unspecified - ENTRY_TYPE_UNSPECIFIEDDefault unknown type.
- Entry
Type Table - TABLEThe entry type that has a GoogleSQL schema, including logical views.
- Entry
Type Model - MODELThe type of models. For more information, see Supported models in BigQuery ML.
- Entry
Type Data Stream - DATA_STREAMAn entry type for streaming entries. For example, a Pub/Sub topic.
- Entry
Type Fileset - FILESETAn entry type for a set of files or objects. For example, a Cloud Storage fileset.
- Entry
Type Cluster - CLUSTERA group of servers that work together. For example, a Kafka cluster.
- Entry
Type Database - DATABASEA database.
- Entry
Type Data Source Connection - DATA_SOURCE_CONNECTIONConnection to a data source. For example, a BigQuery connection.
- Entry
Type Routine - ROUTINERoutine, for example, a BigQuery routine.
- Entry
Type Lake - LAKEA Dataplex lake.
- Entry
Type Zone - ZONEA Dataplex zone.
- Entry
Type Service - SERVICEA service, for example, a Dataproc Metastore service.
- Entry
Type Database Schema - DATABASE_SCHEMASchema within a relational database.
- Entry
Type Dashboard - DASHBOARDA Dashboard, for example from Looker.
- Entry
Type Explore - EXPLOREA Looker Explore. For more information, see [Looker Explore API] (https://developers.looker.com/api/explorer/4.0/methods/LookmlModel/lookml_model_explore).
- Entry
Type Look - LOOKA Looker Look. For more information, see [Looker Look API] (https://developers.looker.com/api/explorer/4.0/methods/Look).
- Entry
Type Unspecified - ENTRY_TYPE_UNSPECIFIEDDefault unknown type.
- Table
- TABLEThe entry type that has a GoogleSQL schema, including logical views.
- Model
- MODELThe type of models. For more information, see Supported models in BigQuery ML.
- Data
Stream - DATA_STREAMAn entry type for streaming entries. For example, a Pub/Sub topic.
- Fileset
- FILESETAn entry type for a set of files or objects. For example, a Cloud Storage fileset.
- Cluster
- CLUSTERA group of servers that work together. For example, a Kafka cluster.
- Database
- DATABASEA database.
- Data
Source Connection - DATA_SOURCE_CONNECTIONConnection to a data source. For example, a BigQuery connection.
- Routine
- ROUTINERoutine, for example, a BigQuery routine.
- Lake
- LAKEA Dataplex lake.
- Zone
- ZONEA Dataplex zone.
- Service
- SERVICEA service, for example, a Dataproc Metastore service.
- Database
Schema - DATABASE_SCHEMASchema within a relational database.
- Dashboard
- DASHBOARDA Dashboard, for example from Looker.
- Explore
- EXPLOREA Looker Explore. For more information, see [Looker Explore API] (https://developers.looker.com/api/explorer/4.0/methods/LookmlModel/lookml_model_explore).
- Look
- LOOKA Looker Look. For more information, see [Looker Look API] (https://developers.looker.com/api/explorer/4.0/methods/Look).
- Entry
Type Unspecified - ENTRY_TYPE_UNSPECIFIEDDefault unknown type.
- Table
- TABLEThe entry type that has a GoogleSQL schema, including logical views.
- Model
- MODELThe type of models. For more information, see Supported models in BigQuery ML.
- Data
Stream - DATA_STREAMAn entry type for streaming entries. For example, a Pub/Sub topic.
- Fileset
- FILESETAn entry type for a set of files or objects. For example, a Cloud Storage fileset.
- Cluster
- CLUSTERA group of servers that work together. For example, a Kafka cluster.
- Database
- DATABASEA database.
- Data
Source Connection - DATA_SOURCE_CONNECTIONConnection to a data source. For example, a BigQuery connection.
- Routine
- ROUTINERoutine, for example, a BigQuery routine.
- Lake
- LAKEA Dataplex lake.
- Zone
- ZONEA Dataplex zone.
- Service
- SERVICEA service, for example, a Dataproc Metastore service.
- Database
Schema - DATABASE_SCHEMASchema within a relational database.
- Dashboard
- DASHBOARDA Dashboard, for example from Looker.
- Explore
- EXPLOREA Looker Explore. For more information, see [Looker Explore API] (https://developers.looker.com/api/explorer/4.0/methods/LookmlModel/lookml_model_explore).
- Look
- LOOKA Looker Look. For more information, see [Looker Look API] (https://developers.looker.com/api/explorer/4.0/methods/Look).
- ENTRY_TYPE_UNSPECIFIED
- ENTRY_TYPE_UNSPECIFIEDDefault unknown type.
- TABLE
- TABLEThe entry type that has a GoogleSQL schema, including logical views.
- MODEL
- MODELThe type of models. For more information, see Supported models in BigQuery ML.
- DATA_STREAM
- DATA_STREAMAn entry type for streaming entries. For example, a Pub/Sub topic.
- FILESET
- FILESETAn entry type for a set of files or objects. For example, a Cloud Storage fileset.
- CLUSTER
- CLUSTERA group of servers that work together. For example, a Kafka cluster.
- DATABASE
- DATABASEA database.
- DATA_SOURCE_CONNECTION
- DATA_SOURCE_CONNECTIONConnection to a data source. For example, a BigQuery connection.
- ROUTINE
- ROUTINERoutine, for example, a BigQuery routine.
- LAKE
- LAKEA Dataplex lake.
- ZONE
- ZONEA Dataplex zone.
- SERVICE
- SERVICEA service, for example, a Dataproc Metastore service.
- DATABASE_SCHEMA
- DATABASE_SCHEMASchema within a relational database.
- DASHBOARD
- DASHBOARDA Dashboard, for example from Looker.
- EXPLORE
- EXPLOREA Looker Explore. For more information, see [Looker Explore API] (https://developers.looker.com/api/explorer/4.0/methods/LookmlModel/lookml_model_explore).
- LOOK
- LOOKA Looker Look. For more information, see [Looker Look API] (https://developers.looker.com/api/explorer/4.0/methods/Look).
- "ENTRY_TYPE_UNSPECIFIED"
- ENTRY_TYPE_UNSPECIFIEDDefault unknown type.
- "TABLE"
- TABLEThe entry type that has a GoogleSQL schema, including logical views.
- "MODEL"
- MODELThe type of models. For more information, see Supported models in BigQuery ML.
- "DATA_STREAM"
- DATA_STREAMAn entry type for streaming entries. For example, a Pub/Sub topic.
- "FILESET"
- FILESETAn entry type for a set of files or objects. For example, a Cloud Storage fileset.
- "CLUSTER"
- CLUSTERA group of servers that work together. For example, a Kafka cluster.
- "DATABASE"
- DATABASEA database.
- "DATA_SOURCE_CONNECTION"
- DATA_SOURCE_CONNECTIONConnection to a data source. For example, a BigQuery connection.
- "ROUTINE"
- ROUTINERoutine, for example, a BigQuery routine.
- "LAKE"
- LAKEA Dataplex lake.
- "ZONE"
- ZONEA Dataplex zone.
- "SERVICE"
- SERVICEA service, for example, a Dataproc Metastore service.
- "DATABASE_SCHEMA"
- DATABASE_SCHEMASchema within a relational database.
- "DASHBOARD"
- DASHBOARDA Dashboard, for example from Looker.
- "EXPLORE"
- EXPLOREA Looker Explore. For more information, see [Looker Explore API] (https://developers.looker.com/api/explorer/4.0/methods/LookmlModel/lookml_model_explore).
- "LOOK"
- LOOKA Looker Look. For more information, see [Looker Look API] (https://developers.looker.com/api/explorer/4.0/methods/Look).
GoogleCloudDatacatalogV1BigQueryConnectionSpecResponse, GoogleCloudDatacatalogV1BigQueryConnectionSpecResponseArgs
- Cloud
Sql Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Cloud Sql Big Query Connection Spec Response - Specification for the BigQuery connection to a Cloud SQL instance.
- Connection
Type string - The type of the BigQuery connection.
- Has
Credential bool - True if there are credentials attached to the BigQuery connection; false otherwise.
- Cloud
Sql GoogleCloud Datacatalog V1Cloud Sql Big Query Connection Spec Response - Specification for the BigQuery connection to a Cloud SQL instance.
- Connection
Type string - The type of the BigQuery connection.
- Has
Credential bool - True if there are credentials attached to the BigQuery connection; false otherwise.
- cloud
Sql GoogleCloud Datacatalog V1Cloud Sql Big Query Connection Spec Response - Specification for the BigQuery connection to a Cloud SQL instance.
- connection
Type String - The type of the BigQuery connection.
- has
Credential Boolean - True if there are credentials attached to the BigQuery connection; false otherwise.
- cloud
Sql GoogleCloud Datacatalog V1Cloud Sql Big Query Connection Spec Response - Specification for the BigQuery connection to a Cloud SQL instance.
- connection
Type string - The type of the BigQuery connection.
- has
Credential boolean - True if there are credentials attached to the BigQuery connection; false otherwise.
- cloud_
sql GoogleCloud Datacatalog V1Cloud Sql Big Query Connection Spec Response - Specification for the BigQuery connection to a Cloud SQL instance.
- connection_
type str - The type of the BigQuery connection.
- has_
credential bool - True if there are credentials attached to the BigQuery connection; false otherwise.
- cloud
Sql Property Map - Specification for the BigQuery connection to a Cloud SQL instance.
- connection
Type String - The type of the BigQuery connection.
- has
Credential Boolean - True if there are credentials attached to the BigQuery connection; false otherwise.
GoogleCloudDatacatalogV1BigQueryDateShardedSpecResponse, GoogleCloudDatacatalogV1BigQueryDateShardedSpecResponseArgs
- Dataset string
- The Data Catalog resource name of the dataset entry the current table belongs to. For example:
projects/{PROJECT_ID}/locations/{LOCATION}/entrygroups/{ENTRY_GROUP_ID}/entries/{ENTRY_ID}
. - Latest
Shard stringResource - BigQuery resource name of the latest shard.
- string
- Total number of shards.
- Table
Prefix string - The table name prefix of the shards. The name of any given shard is
[table_prefix]YYYYMMDD
. For example, for theMyTable20180101
shard, thetable_prefix
isMyTable
.
- Dataset string
- The Data Catalog resource name of the dataset entry the current table belongs to. For example:
projects/{PROJECT_ID}/locations/{LOCATION}/entrygroups/{ENTRY_GROUP_ID}/entries/{ENTRY_ID}
. - Latest
Shard stringResource - BigQuery resource name of the latest shard.
- string
- Total number of shards.
- Table
Prefix string - The table name prefix of the shards. The name of any given shard is
[table_prefix]YYYYMMDD
. For example, for theMyTable20180101
shard, thetable_prefix
isMyTable
.
- dataset String
- The Data Catalog resource name of the dataset entry the current table belongs to. For example:
projects/{PROJECT_ID}/locations/{LOCATION}/entrygroups/{ENTRY_GROUP_ID}/entries/{ENTRY_ID}
. - latest
Shard StringResource - BigQuery resource name of the latest shard.
- String
- Total number of shards.
- table
Prefix String - The table name prefix of the shards. The name of any given shard is
[table_prefix]YYYYMMDD
. For example, for theMyTable20180101
shard, thetable_prefix
isMyTable
.
- dataset string
- The Data Catalog resource name of the dataset entry the current table belongs to. For example:
projects/{PROJECT_ID}/locations/{LOCATION}/entrygroups/{ENTRY_GROUP_ID}/entries/{ENTRY_ID}
. - latest
Shard stringResource - BigQuery resource name of the latest shard.
- string
- Total number of shards.
- table
Prefix string - The table name prefix of the shards. The name of any given shard is
[table_prefix]YYYYMMDD
. For example, for theMyTable20180101
shard, thetable_prefix
isMyTable
.
- dataset str
- The Data Catalog resource name of the dataset entry the current table belongs to. For example:
projects/{PROJECT_ID}/locations/{LOCATION}/entrygroups/{ENTRY_GROUP_ID}/entries/{ENTRY_ID}
. - latest_
shard_ strresource - BigQuery resource name of the latest shard.
- str
- Total number of shards.
- table_
prefix str - The table name prefix of the shards. The name of any given shard is
[table_prefix]YYYYMMDD
. For example, for theMyTable20180101
shard, thetable_prefix
isMyTable
.
- dataset String
- The Data Catalog resource name of the dataset entry the current table belongs to. For example:
projects/{PROJECT_ID}/locations/{LOCATION}/entrygroups/{ENTRY_GROUP_ID}/entries/{ENTRY_ID}
. - latest
Shard StringResource - BigQuery resource name of the latest shard.
- String
- Total number of shards.
- table
Prefix String - The table name prefix of the shards. The name of any given shard is
[table_prefix]YYYYMMDD
. For example, for theMyTable20180101
shard, thetable_prefix
isMyTable
.
GoogleCloudDatacatalogV1BigQueryRoutineSpec, GoogleCloudDatacatalogV1BigQueryRoutineSpecArgs
- Imported
Libraries List<string> - Paths of the imported libraries.
- Imported
Libraries []string - Paths of the imported libraries.
- imported
Libraries List<String> - Paths of the imported libraries.
- imported
Libraries string[] - Paths of the imported libraries.
- imported_
libraries Sequence[str] - Paths of the imported libraries.
- imported
Libraries List<String> - Paths of the imported libraries.
GoogleCloudDatacatalogV1BigQueryRoutineSpecResponse, GoogleCloudDatacatalogV1BigQueryRoutineSpecResponseArgs
- Imported
Libraries List<string> - Paths of the imported libraries.
- Imported
Libraries []string - Paths of the imported libraries.
- imported
Libraries List<String> - Paths of the imported libraries.
- imported
Libraries string[] - Paths of the imported libraries.
- imported_
libraries Sequence[str] - Paths of the imported libraries.
- imported
Libraries List<String> - Paths of the imported libraries.
GoogleCloudDatacatalogV1BigQueryTableSpecResponse, GoogleCloudDatacatalogV1BigQueryTableSpecResponseArgs
- Table
Source stringType - The table source type.
- Table
Spec Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Table Spec Response - Specification of a BigQuery table. Populated only if the
table_source_type
isBIGQUERY_TABLE
. - View
Spec Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1View Spec Response - Table view specification. Populated only if the
table_source_type
isBIGQUERY_VIEW
.
- Table
Source stringType - The table source type.
- Table
Spec GoogleCloud Datacatalog V1Table Spec Response - Specification of a BigQuery table. Populated only if the
table_source_type
isBIGQUERY_TABLE
. - View
Spec GoogleCloud Datacatalog V1View Spec Response - Table view specification. Populated only if the
table_source_type
isBIGQUERY_VIEW
.
- table
Source StringType - The table source type.
- table
Spec GoogleCloud Datacatalog V1Table Spec Response - Specification of a BigQuery table. Populated only if the
table_source_type
isBIGQUERY_TABLE
. - view
Spec GoogleCloud Datacatalog V1View Spec Response - Table view specification. Populated only if the
table_source_type
isBIGQUERY_VIEW
.
- table
Source stringType - The table source type.
- table
Spec GoogleCloud Datacatalog V1Table Spec Response - Specification of a BigQuery table. Populated only if the
table_source_type
isBIGQUERY_TABLE
. - view
Spec GoogleCloud Datacatalog V1View Spec Response - Table view specification. Populated only if the
table_source_type
isBIGQUERY_VIEW
.
- table_
source_ strtype - The table source type.
- table_
spec GoogleCloud Datacatalog V1Table Spec Response - Specification of a BigQuery table. Populated only if the
table_source_type
isBIGQUERY_TABLE
. - view_
spec GoogleCloud Datacatalog V1View Spec Response - Table view specification. Populated only if the
table_source_type
isBIGQUERY_VIEW
.
- table
Source StringType - The table source type.
- table
Spec Property Map - Specification of a BigQuery table. Populated only if the
table_source_type
isBIGQUERY_TABLE
. - view
Spec Property Map - Table view specification. Populated only if the
table_source_type
isBIGQUERY_VIEW
.
GoogleCloudDatacatalogV1BusinessContext, GoogleCloudDatacatalogV1BusinessContextArgs
- Contacts
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Contacts - Contact people for the entry.
- Entry
Overview Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Entry Overview - Entry overview fields for rich text descriptions of entries.
- Contacts
Google
Cloud Datacatalog V1Contacts - Contact people for the entry.
- Entry
Overview GoogleCloud Datacatalog V1Entry Overview - Entry overview fields for rich text descriptions of entries.
- contacts
Google
Cloud Datacatalog V1Contacts - Contact people for the entry.
- entry
Overview GoogleCloud Datacatalog V1Entry Overview - Entry overview fields for rich text descriptions of entries.
- contacts
Google
Cloud Datacatalog V1Contacts - Contact people for the entry.
- entry
Overview GoogleCloud Datacatalog V1Entry Overview - Entry overview fields for rich text descriptions of entries.
- contacts
Google
Cloud Datacatalog V1Contacts - Contact people for the entry.
- entry_
overview GoogleCloud Datacatalog V1Entry Overview - Entry overview fields for rich text descriptions of entries.
- contacts Property Map
- Contact people for the entry.
- entry
Overview Property Map - Entry overview fields for rich text descriptions of entries.
GoogleCloudDatacatalogV1BusinessContextResponse, GoogleCloudDatacatalogV1BusinessContextResponseArgs
- Contacts
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Contacts Response - Contact people for the entry.
- Entry
Overview Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Entry Overview Response - Entry overview fields for rich text descriptions of entries.
- Contacts
Google
Cloud Datacatalog V1Contacts Response - Contact people for the entry.
- Entry
Overview GoogleCloud Datacatalog V1Entry Overview Response - Entry overview fields for rich text descriptions of entries.
- contacts
Google
Cloud Datacatalog V1Contacts Response - Contact people for the entry.
- entry
Overview GoogleCloud Datacatalog V1Entry Overview Response - Entry overview fields for rich text descriptions of entries.
- contacts
Google
Cloud Datacatalog V1Contacts Response - Contact people for the entry.
- entry
Overview GoogleCloud Datacatalog V1Entry Overview Response - Entry overview fields for rich text descriptions of entries.
- contacts
Google
Cloud Datacatalog V1Contacts Response - Contact people for the entry.
- entry_
overview GoogleCloud Datacatalog V1Entry Overview Response - Entry overview fields for rich text descriptions of entries.
- contacts Property Map
- Contact people for the entry.
- entry
Overview Property Map - Entry overview fields for rich text descriptions of entries.
GoogleCloudDatacatalogV1CloudBigtableInstanceSpec, GoogleCloudDatacatalogV1CloudBigtableInstanceSpecArgs
- Cloud
Bigtable List<Pulumi.Cluster Specs Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Cloud Bigtable Instance Spec Cloud Bigtable Cluster Spec> - The list of clusters for the Instance.
- Cloud
Bigtable []GoogleCluster Specs Cloud Datacatalog V1Cloud Bigtable Instance Spec Cloud Bigtable Cluster Spec - The list of clusters for the Instance.
- cloud
Bigtable List<GoogleCluster Specs Cloud Datacatalog V1Cloud Bigtable Instance Spec Cloud Bigtable Cluster Spec> - The list of clusters for the Instance.
- cloud
Bigtable GoogleCluster Specs Cloud Datacatalog V1Cloud Bigtable Instance Spec Cloud Bigtable Cluster Spec[] - The list of clusters for the Instance.
- cloud_
bigtable_ Sequence[Googlecluster_ specs Cloud Datacatalog V1Cloud Bigtable Instance Spec Cloud Bigtable Cluster Spec] - The list of clusters for the Instance.
- cloud
Bigtable List<Property Map>Cluster Specs - The list of clusters for the Instance.
GoogleCloudDatacatalogV1CloudBigtableInstanceSpecCloudBigtableClusterSpec, GoogleCloudDatacatalogV1CloudBigtableInstanceSpecCloudBigtableClusterSpecArgs
- Display
Name string - Name of the cluster.
- Linked
Resource string - A link back to the parent resource, in this case Instance.
- Location string
- Location of the cluster, typically a Cloud zone.
- Type string
- Type of the resource. For a cluster this would be "CLUSTER".
- Display
Name string - Name of the cluster.
- Linked
Resource string - A link back to the parent resource, in this case Instance.
- Location string
- Location of the cluster, typically a Cloud zone.
- Type string
- Type of the resource. For a cluster this would be "CLUSTER".
- display
Name String - Name of the cluster.
- linked
Resource String - A link back to the parent resource, in this case Instance.
- location String
- Location of the cluster, typically a Cloud zone.
- type String
- Type of the resource. For a cluster this would be "CLUSTER".
- display
Name string - Name of the cluster.
- linked
Resource string - A link back to the parent resource, in this case Instance.
- location string
- Location of the cluster, typically a Cloud zone.
- type string
- Type of the resource. For a cluster this would be "CLUSTER".
- display_
name str - Name of the cluster.
- linked_
resource str - A link back to the parent resource, in this case Instance.
- location str
- Location of the cluster, typically a Cloud zone.
- type str
- Type of the resource. For a cluster this would be "CLUSTER".
- display
Name String - Name of the cluster.
- linked
Resource String - A link back to the parent resource, in this case Instance.
- location String
- Location of the cluster, typically a Cloud zone.
- type String
- Type of the resource. For a cluster this would be "CLUSTER".
GoogleCloudDatacatalogV1CloudBigtableInstanceSpecCloudBigtableClusterSpecResponse, GoogleCloudDatacatalogV1CloudBigtableInstanceSpecCloudBigtableClusterSpecResponseArgs
- Display
Name string - Name of the cluster.
- Linked
Resource string - A link back to the parent resource, in this case Instance.
- Location string
- Location of the cluster, typically a Cloud zone.
- Type string
- Type of the resource. For a cluster this would be "CLUSTER".
- Display
Name string - Name of the cluster.
- Linked
Resource string - A link back to the parent resource, in this case Instance.
- Location string
- Location of the cluster, typically a Cloud zone.
- Type string
- Type of the resource. For a cluster this would be "CLUSTER".
- display
Name String - Name of the cluster.
- linked
Resource String - A link back to the parent resource, in this case Instance.
- location String
- Location of the cluster, typically a Cloud zone.
- type String
- Type of the resource. For a cluster this would be "CLUSTER".
- display
Name string - Name of the cluster.
- linked
Resource string - A link back to the parent resource, in this case Instance.
- location string
- Location of the cluster, typically a Cloud zone.
- type string
- Type of the resource. For a cluster this would be "CLUSTER".
- display_
name str - Name of the cluster.
- linked_
resource str - A link back to the parent resource, in this case Instance.
- location str
- Location of the cluster, typically a Cloud zone.
- type str
- Type of the resource. For a cluster this would be "CLUSTER".
- display
Name String - Name of the cluster.
- linked
Resource String - A link back to the parent resource, in this case Instance.
- location String
- Location of the cluster, typically a Cloud zone.
- type String
- Type of the resource. For a cluster this would be "CLUSTER".
GoogleCloudDatacatalogV1CloudBigtableInstanceSpecResponse, GoogleCloudDatacatalogV1CloudBigtableInstanceSpecResponseArgs
- Cloud
Bigtable List<Pulumi.Cluster Specs Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Cloud Bigtable Instance Spec Cloud Bigtable Cluster Spec Response> - The list of clusters for the Instance.
- Cloud
Bigtable []GoogleCluster Specs Cloud Datacatalog V1Cloud Bigtable Instance Spec Cloud Bigtable Cluster Spec Response - The list of clusters for the Instance.
- cloud
Bigtable List<GoogleCluster Specs Cloud Datacatalog V1Cloud Bigtable Instance Spec Cloud Bigtable Cluster Spec Response> - The list of clusters for the Instance.
- cloud
Bigtable GoogleCluster Specs Cloud Datacatalog V1Cloud Bigtable Instance Spec Cloud Bigtable Cluster Spec Response[] - The list of clusters for the Instance.
- cloud_
bigtable_ Sequence[Googlecluster_ specs Cloud Datacatalog V1Cloud Bigtable Instance Spec Cloud Bigtable Cluster Spec Response] - The list of clusters for the Instance.
- cloud
Bigtable List<Property Map>Cluster Specs - The list of clusters for the Instance.
GoogleCloudDatacatalogV1CloudBigtableSystemSpec, GoogleCloudDatacatalogV1CloudBigtableSystemSpecArgs
- Instance
Display stringName - Display name of the Instance. This is user specified and different from the resource name.
- Instance
Display stringName - Display name of the Instance. This is user specified and different from the resource name.
- instance
Display StringName - Display name of the Instance. This is user specified and different from the resource name.
- instance
Display stringName - Display name of the Instance. This is user specified and different from the resource name.
- instance_
display_ strname - Display name of the Instance. This is user specified and different from the resource name.
- instance
Display StringName - Display name of the Instance. This is user specified and different from the resource name.
GoogleCloudDatacatalogV1CloudBigtableSystemSpecResponse, GoogleCloudDatacatalogV1CloudBigtableSystemSpecResponseArgs
- Instance
Display stringName - Display name of the Instance. This is user specified and different from the resource name.
- Instance
Display stringName - Display name of the Instance. This is user specified and different from the resource name.
- instance
Display StringName - Display name of the Instance. This is user specified and different from the resource name.
- instance
Display stringName - Display name of the Instance. This is user specified and different from the resource name.
- instance_
display_ strname - Display name of the Instance. This is user specified and different from the resource name.
- instance
Display StringName - Display name of the Instance. This is user specified and different from the resource name.
GoogleCloudDatacatalogV1CloudSqlBigQueryConnectionSpecResponse, GoogleCloudDatacatalogV1CloudSqlBigQueryConnectionSpecResponseArgs
- Database string
- Database name.
- Instance
Id string - Cloud SQL instance ID in the format of
project:location:instance
. - Type string
- Type of the Cloud SQL database.
- Database string
- Database name.
- Instance
Id string - Cloud SQL instance ID in the format of
project:location:instance
. - Type string
- Type of the Cloud SQL database.
- database String
- Database name.
- instance
Id String - Cloud SQL instance ID in the format of
project:location:instance
. - type String
- Type of the Cloud SQL database.
- database string
- Database name.
- instance
Id string - Cloud SQL instance ID in the format of
project:location:instance
. - type string
- Type of the Cloud SQL database.
- database str
- Database name.
- instance_
id str - Cloud SQL instance ID in the format of
project:location:instance
. - type str
- Type of the Cloud SQL database.
- database String
- Database name.
- instance
Id String - Cloud SQL instance ID in the format of
project:location:instance
. - type String
- Type of the Cloud SQL database.
GoogleCloudDatacatalogV1ColumnSchema, GoogleCloudDatacatalogV1ColumnSchemaArgs
- Column string
- Name of the column. Must be a UTF-8 string without dots (.). The maximum size is 64 bytes.
- Type string
- Type of the column. Must be a UTF-8 string with the maximum size of 128 bytes.
- Default
Value string - Optional. Default value for the column.
- Description string
- Optional. Description of the column. Default value is an empty string. The description must be a UTF-8 string with the maximum size of 2000 bytes.
- Gc
Rule string - Optional. Garbage collection policy for the column or column family. Applies to systems like Cloud Bigtable.
- Highest
Indexing Pulumi.Type Google Native. Data Catalog. V1. Google Cloud Datacatalog V1Column Schema Highest Indexing Type - Optional. Most important inclusion of this column.
- Looker
Column Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Column Schema Looker Column Spec - Looker specific column info of this column.
- Mode string
- Optional. A column's mode indicates whether values in this column are required, nullable, or repeated. Only
NULLABLE
,REQUIRED
, andREPEATED
values are supported. Default mode isNULLABLE
. - Ordinal
Position int - Optional. Ordinal position
- Subcolumns
List<Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Column Schema> - Optional. Schema of sub-columns. A column can have zero or more sub-columns.
- Column string
- Name of the column. Must be a UTF-8 string without dots (.). The maximum size is 64 bytes.
- Type string
- Type of the column. Must be a UTF-8 string with the maximum size of 128 bytes.
- Default
Value string - Optional. Default value for the column.
- Description string
- Optional. Description of the column. Default value is an empty string. The description must be a UTF-8 string with the maximum size of 2000 bytes.
- Gc
Rule string - Optional. Garbage collection policy for the column or column family. Applies to systems like Cloud Bigtable.
- Highest
Indexing GoogleType Cloud Datacatalog V1Column Schema Highest Indexing Type - Optional. Most important inclusion of this column.
- Looker
Column GoogleSpec Cloud Datacatalog V1Column Schema Looker Column Spec - Looker specific column info of this column.
- Mode string
- Optional. A column's mode indicates whether values in this column are required, nullable, or repeated. Only
NULLABLE
,REQUIRED
, andREPEATED
values are supported. Default mode isNULLABLE
. - Ordinal
Position int - Optional. Ordinal position
- Subcolumns
[]Google
Cloud Datacatalog V1Column Schema - Optional. Schema of sub-columns. A column can have zero or more sub-columns.
- column String
- Name of the column. Must be a UTF-8 string without dots (.). The maximum size is 64 bytes.
- type String
- Type of the column. Must be a UTF-8 string with the maximum size of 128 bytes.
- default
Value String - Optional. Default value for the column.
- description String
- Optional. Description of the column. Default value is an empty string. The description must be a UTF-8 string with the maximum size of 2000 bytes.
- gc
Rule String - Optional. Garbage collection policy for the column or column family. Applies to systems like Cloud Bigtable.
- highest
Indexing GoogleType Cloud Datacatalog V1Column Schema Highest Indexing Type - Optional. Most important inclusion of this column.
- looker
Column GoogleSpec Cloud Datacatalog V1Column Schema Looker Column Spec - Looker specific column info of this column.
- mode String
- Optional. A column's mode indicates whether values in this column are required, nullable, or repeated. Only
NULLABLE
,REQUIRED
, andREPEATED
values are supported. Default mode isNULLABLE
. - ordinal
Position Integer - Optional. Ordinal position
- subcolumns
List<Google
Cloud Datacatalog V1Column Schema> - Optional. Schema of sub-columns. A column can have zero or more sub-columns.
- column string
- Name of the column. Must be a UTF-8 string without dots (.). The maximum size is 64 bytes.
- type string
- Type of the column. Must be a UTF-8 string with the maximum size of 128 bytes.
- default
Value string - Optional. Default value for the column.
- description string
- Optional. Description of the column. Default value is an empty string. The description must be a UTF-8 string with the maximum size of 2000 bytes.
- gc
Rule string - Optional. Garbage collection policy for the column or column family. Applies to systems like Cloud Bigtable.
- highest
Indexing GoogleType Cloud Datacatalog V1Column Schema Highest Indexing Type - Optional. Most important inclusion of this column.
- looker
Column GoogleSpec Cloud Datacatalog V1Column Schema Looker Column Spec - Looker specific column info of this column.
- mode string
- Optional. A column's mode indicates whether values in this column are required, nullable, or repeated. Only
NULLABLE
,REQUIRED
, andREPEATED
values are supported. Default mode isNULLABLE
. - ordinal
Position number - Optional. Ordinal position
- subcolumns
Google
Cloud Datacatalog V1Column Schema[] - Optional. Schema of sub-columns. A column can have zero or more sub-columns.
- column str
- Name of the column. Must be a UTF-8 string without dots (.). The maximum size is 64 bytes.
- type str
- Type of the column. Must be a UTF-8 string with the maximum size of 128 bytes.
- default_
value str - Optional. Default value for the column.
- description str
- Optional. Description of the column. Default value is an empty string. The description must be a UTF-8 string with the maximum size of 2000 bytes.
- gc_
rule str - Optional. Garbage collection policy for the column or column family. Applies to systems like Cloud Bigtable.
- highest_
indexing_ Googletype Cloud Datacatalog V1Column Schema Highest Indexing Type - Optional. Most important inclusion of this column.
- looker_
column_ Googlespec Cloud Datacatalog V1Column Schema Looker Column Spec - Looker specific column info of this column.
- mode str
- Optional. A column's mode indicates whether values in this column are required, nullable, or repeated. Only
NULLABLE
,REQUIRED
, andREPEATED
values are supported. Default mode isNULLABLE
. - ordinal_
position int - Optional. Ordinal position
- subcolumns
Sequence[Google
Cloud Datacatalog V1Column Schema] - Optional. Schema of sub-columns. A column can have zero or more sub-columns.
- column String
- Name of the column. Must be a UTF-8 string without dots (.). The maximum size is 64 bytes.
- type String
- Type of the column. Must be a UTF-8 string with the maximum size of 128 bytes.
- default
Value String - Optional. Default value for the column.
- description String
- Optional. Description of the column. Default value is an empty string. The description must be a UTF-8 string with the maximum size of 2000 bytes.
- gc
Rule String - Optional. Garbage collection policy for the column or column family. Applies to systems like Cloud Bigtable.
- highest
Indexing "INDEXING_TYPE_UNSPECIFIED" | "INDEXING_TYPE_NONE" | "INDEXING_TYPE_NON_UNIQUE" | "INDEXING_TYPE_UNIQUE" | "INDEXING_TYPE_PRIMARY_KEY"Type - Optional. Most important inclusion of this column.
- looker
Column Property MapSpec - Looker specific column info of this column.
- mode String
- Optional. A column's mode indicates whether values in this column are required, nullable, or repeated. Only
NULLABLE
,REQUIRED
, andREPEATED
values are supported. Default mode isNULLABLE
. - ordinal
Position Number - Optional. Ordinal position
- subcolumns List<Property Map>
- Optional. Schema of sub-columns. A column can have zero or more sub-columns.
GoogleCloudDatacatalogV1ColumnSchemaHighestIndexingType, GoogleCloudDatacatalogV1ColumnSchemaHighestIndexingTypeArgs
- Indexing
Type Unspecified - INDEXING_TYPE_UNSPECIFIEDUnspecified.
- Indexing
Type None - INDEXING_TYPE_NONEColumn not a part of an index.
- Indexing
Type Non Unique - INDEXING_TYPE_NON_UNIQUEColumn Part of non unique index.
- Indexing
Type Unique - INDEXING_TYPE_UNIQUEColumn part of unique index.
- Indexing
Type Primary Key - INDEXING_TYPE_PRIMARY_KEYColumn part of the primary key.
- Google
Cloud Datacatalog V1Column Schema Highest Indexing Type Indexing Type Unspecified - INDEXING_TYPE_UNSPECIFIEDUnspecified.
- Google
Cloud Datacatalog V1Column Schema Highest Indexing Type Indexing Type None - INDEXING_TYPE_NONEColumn not a part of an index.
- Google
Cloud Datacatalog V1Column Schema Highest Indexing Type Indexing Type Non Unique - INDEXING_TYPE_NON_UNIQUEColumn Part of non unique index.
- Google
Cloud Datacatalog V1Column Schema Highest Indexing Type Indexing Type Unique - INDEXING_TYPE_UNIQUEColumn part of unique index.
- Google
Cloud Datacatalog V1Column Schema Highest Indexing Type Indexing Type Primary Key - INDEXING_TYPE_PRIMARY_KEYColumn part of the primary key.
- Indexing
Type Unspecified - INDEXING_TYPE_UNSPECIFIEDUnspecified.
- Indexing
Type None - INDEXING_TYPE_NONEColumn not a part of an index.
- Indexing
Type Non Unique - INDEXING_TYPE_NON_UNIQUEColumn Part of non unique index.
- Indexing
Type Unique - INDEXING_TYPE_UNIQUEColumn part of unique index.
- Indexing
Type Primary Key - INDEXING_TYPE_PRIMARY_KEYColumn part of the primary key.
- Indexing
Type Unspecified - INDEXING_TYPE_UNSPECIFIEDUnspecified.
- Indexing
Type None - INDEXING_TYPE_NONEColumn not a part of an index.
- Indexing
Type Non Unique - INDEXING_TYPE_NON_UNIQUEColumn Part of non unique index.
- Indexing
Type Unique - INDEXING_TYPE_UNIQUEColumn part of unique index.
- Indexing
Type Primary Key - INDEXING_TYPE_PRIMARY_KEYColumn part of the primary key.
- INDEXING_TYPE_UNSPECIFIED
- INDEXING_TYPE_UNSPECIFIEDUnspecified.
- INDEXING_TYPE_NONE
- INDEXING_TYPE_NONEColumn not a part of an index.
- INDEXING_TYPE_NON_UNIQUE
- INDEXING_TYPE_NON_UNIQUEColumn Part of non unique index.
- INDEXING_TYPE_UNIQUE
- INDEXING_TYPE_UNIQUEColumn part of unique index.
- INDEXING_TYPE_PRIMARY_KEY
- INDEXING_TYPE_PRIMARY_KEYColumn part of the primary key.
- "INDEXING_TYPE_UNSPECIFIED"
- INDEXING_TYPE_UNSPECIFIEDUnspecified.
- "INDEXING_TYPE_NONE"
- INDEXING_TYPE_NONEColumn not a part of an index.
- "INDEXING_TYPE_NON_UNIQUE"
- INDEXING_TYPE_NON_UNIQUEColumn Part of non unique index.
- "INDEXING_TYPE_UNIQUE"
- INDEXING_TYPE_UNIQUEColumn part of unique index.
- "INDEXING_TYPE_PRIMARY_KEY"
- INDEXING_TYPE_PRIMARY_KEYColumn part of the primary key.
GoogleCloudDatacatalogV1ColumnSchemaLookerColumnSpec, GoogleCloudDatacatalogV1ColumnSchemaLookerColumnSpecArgs
- Type
Pulumi.
Google Native. Data Catalog. V1. Google Cloud Datacatalog V1Column Schema Looker Column Spec Type - Looker specific column type of this column.
- Type
Google
Cloud Datacatalog V1Column Schema Looker Column Spec Type - Looker specific column type of this column.
- type
Google
Cloud Datacatalog V1Column Schema Looker Column Spec Type - Looker specific column type of this column.
- type
Google
Cloud Datacatalog V1Column Schema Looker Column Spec Type - Looker specific column type of this column.
- type
Google
Cloud Datacatalog V1Column Schema Looker Column Spec Type - Looker specific column type of this column.
- type "LOOKER_COLUMN_TYPE_UNSPECIFIED" | "DIMENSION" | "DIMENSION_GROUP" | "FILTER" | "MEASURE" | "PARAMETER"
- Looker specific column type of this column.
GoogleCloudDatacatalogV1ColumnSchemaLookerColumnSpecResponse, GoogleCloudDatacatalogV1ColumnSchemaLookerColumnSpecResponseArgs
- Type string
- Looker specific column type of this column.
- Type string
- Looker specific column type of this column.
- type String
- Looker specific column type of this column.
- type string
- Looker specific column type of this column.
- type str
- Looker specific column type of this column.
- type String
- Looker specific column type of this column.
GoogleCloudDatacatalogV1ColumnSchemaLookerColumnSpecType, GoogleCloudDatacatalogV1ColumnSchemaLookerColumnSpecTypeArgs
- Looker
Column Type Unspecified - LOOKER_COLUMN_TYPE_UNSPECIFIEDUnspecified.
- Dimension
- DIMENSIONDimension.
- Dimension
Group - DIMENSION_GROUPDimension group - parent for Dimension.
- Filter
- FILTERFilter.
- Measure
- MEASUREMeasure.
- Parameter
- PARAMETERParameter.
- Google
Cloud Datacatalog V1Column Schema Looker Column Spec Type Looker Column Type Unspecified - LOOKER_COLUMN_TYPE_UNSPECIFIEDUnspecified.
- Google
Cloud Datacatalog V1Column Schema Looker Column Spec Type Dimension - DIMENSIONDimension.
- Google
Cloud Datacatalog V1Column Schema Looker Column Spec Type Dimension Group - DIMENSION_GROUPDimension group - parent for Dimension.
- Google
Cloud Datacatalog V1Column Schema Looker Column Spec Type Filter - FILTERFilter.
- Google
Cloud Datacatalog V1Column Schema Looker Column Spec Type Measure - MEASUREMeasure.
- Google
Cloud Datacatalog V1Column Schema Looker Column Spec Type Parameter - PARAMETERParameter.
- Looker
Column Type Unspecified - LOOKER_COLUMN_TYPE_UNSPECIFIEDUnspecified.
- Dimension
- DIMENSIONDimension.
- Dimension
Group - DIMENSION_GROUPDimension group - parent for Dimension.
- Filter
- FILTERFilter.
- Measure
- MEASUREMeasure.
- Parameter
- PARAMETERParameter.
- Looker
Column Type Unspecified - LOOKER_COLUMN_TYPE_UNSPECIFIEDUnspecified.
- Dimension
- DIMENSIONDimension.
- Dimension
Group - DIMENSION_GROUPDimension group - parent for Dimension.
- Filter
- FILTERFilter.
- Measure
- MEASUREMeasure.
- Parameter
- PARAMETERParameter.
- LOOKER_COLUMN_TYPE_UNSPECIFIED
- LOOKER_COLUMN_TYPE_UNSPECIFIEDUnspecified.
- DIMENSION
- DIMENSIONDimension.
- DIMENSION_GROUP
- DIMENSION_GROUPDimension group - parent for Dimension.
- FILTER
- FILTERFilter.
- MEASURE
- MEASUREMeasure.
- PARAMETER
- PARAMETERParameter.
- "LOOKER_COLUMN_TYPE_UNSPECIFIED"
- LOOKER_COLUMN_TYPE_UNSPECIFIEDUnspecified.
- "DIMENSION"
- DIMENSIONDimension.
- "DIMENSION_GROUP"
- DIMENSION_GROUPDimension group - parent for Dimension.
- "FILTER"
- FILTERFilter.
- "MEASURE"
- MEASUREMeasure.
- "PARAMETER"
- PARAMETERParameter.
GoogleCloudDatacatalogV1ColumnSchemaResponse, GoogleCloudDatacatalogV1ColumnSchemaResponseArgs
- Column string
- Name of the column. Must be a UTF-8 string without dots (.). The maximum size is 64 bytes.
- Default
Value string - Optional. Default value for the column.
- Description string
- Optional. Description of the column. Default value is an empty string. The description must be a UTF-8 string with the maximum size of 2000 bytes.
- Gc
Rule string - Optional. Garbage collection policy for the column or column family. Applies to systems like Cloud Bigtable.
- Highest
Indexing stringType - Optional. Most important inclusion of this column.
- Looker
Column Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Column Schema Looker Column Spec Response - Looker specific column info of this column.
- Mode string
- Optional. A column's mode indicates whether values in this column are required, nullable, or repeated. Only
NULLABLE
,REQUIRED
, andREPEATED
values are supported. Default mode isNULLABLE
. - Ordinal
Position int - Optional. Ordinal position
- Subcolumns
List<Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Column Schema Response> - Optional. Schema of sub-columns. A column can have zero or more sub-columns.
- Type string
- Type of the column. Must be a UTF-8 string with the maximum size of 128 bytes.
- Column string
- Name of the column. Must be a UTF-8 string without dots (.). The maximum size is 64 bytes.
- Default
Value string - Optional. Default value for the column.
- Description string
- Optional. Description of the column. Default value is an empty string. The description must be a UTF-8 string with the maximum size of 2000 bytes.
- Gc
Rule string - Optional. Garbage collection policy for the column or column family. Applies to systems like Cloud Bigtable.
- Highest
Indexing stringType - Optional. Most important inclusion of this column.
- Looker
Column GoogleSpec Cloud Datacatalog V1Column Schema Looker Column Spec Response - Looker specific column info of this column.
- Mode string
- Optional. A column's mode indicates whether values in this column are required, nullable, or repeated. Only
NULLABLE
,REQUIRED
, andREPEATED
values are supported. Default mode isNULLABLE
. - Ordinal
Position int - Optional. Ordinal position
- Subcolumns
[]Google
Cloud Datacatalog V1Column Schema Response - Optional. Schema of sub-columns. A column can have zero or more sub-columns.
- Type string
- Type of the column. Must be a UTF-8 string with the maximum size of 128 bytes.
- column String
- Name of the column. Must be a UTF-8 string without dots (.). The maximum size is 64 bytes.
- default
Value String - Optional. Default value for the column.
- description String
- Optional. Description of the column. Default value is an empty string. The description must be a UTF-8 string with the maximum size of 2000 bytes.
- gc
Rule String - Optional. Garbage collection policy for the column or column family. Applies to systems like Cloud Bigtable.
- highest
Indexing StringType - Optional. Most important inclusion of this column.
- looker
Column GoogleSpec Cloud Datacatalog V1Column Schema Looker Column Spec Response - Looker specific column info of this column.
- mode String
- Optional. A column's mode indicates whether values in this column are required, nullable, or repeated. Only
NULLABLE
,REQUIRED
, andREPEATED
values are supported. Default mode isNULLABLE
. - ordinal
Position Integer - Optional. Ordinal position
- subcolumns
List<Google
Cloud Datacatalog V1Column Schema Response> - Optional. Schema of sub-columns. A column can have zero or more sub-columns.
- type String
- Type of the column. Must be a UTF-8 string with the maximum size of 128 bytes.
- column string
- Name of the column. Must be a UTF-8 string without dots (.). The maximum size is 64 bytes.
- default
Value string - Optional. Default value for the column.
- description string
- Optional. Description of the column. Default value is an empty string. The description must be a UTF-8 string with the maximum size of 2000 bytes.
- gc
Rule string - Optional. Garbage collection policy for the column or column family. Applies to systems like Cloud Bigtable.
- highest
Indexing stringType - Optional. Most important inclusion of this column.
- looker
Column GoogleSpec Cloud Datacatalog V1Column Schema Looker Column Spec Response - Looker specific column info of this column.
- mode string
- Optional. A column's mode indicates whether values in this column are required, nullable, or repeated. Only
NULLABLE
,REQUIRED
, andREPEATED
values are supported. Default mode isNULLABLE
. - ordinal
Position number - Optional. Ordinal position
- subcolumns
Google
Cloud Datacatalog V1Column Schema Response[] - Optional. Schema of sub-columns. A column can have zero or more sub-columns.
- type string
- Type of the column. Must be a UTF-8 string with the maximum size of 128 bytes.
- column str
- Name of the column. Must be a UTF-8 string without dots (.). The maximum size is 64 bytes.
- default_
value str - Optional. Default value for the column.
- description str
- Optional. Description of the column. Default value is an empty string. The description must be a UTF-8 string with the maximum size of 2000 bytes.
- gc_
rule str - Optional. Garbage collection policy for the column or column family. Applies to systems like Cloud Bigtable.
- highest_
indexing_ strtype - Optional. Most important inclusion of this column.
- looker_
column_ Googlespec Cloud Datacatalog V1Column Schema Looker Column Spec Response - Looker specific column info of this column.
- mode str
- Optional. A column's mode indicates whether values in this column are required, nullable, or repeated. Only
NULLABLE
,REQUIRED
, andREPEATED
values are supported. Default mode isNULLABLE
. - ordinal_
position int - Optional. Ordinal position
- subcolumns
Sequence[Google
Cloud Datacatalog V1Column Schema Response] - Optional. Schema of sub-columns. A column can have zero or more sub-columns.
- type str
- Type of the column. Must be a UTF-8 string with the maximum size of 128 bytes.
- column String
- Name of the column. Must be a UTF-8 string without dots (.). The maximum size is 64 bytes.
- default
Value String - Optional. Default value for the column.
- description String
- Optional. Description of the column. Default value is an empty string. The description must be a UTF-8 string with the maximum size of 2000 bytes.
- gc
Rule String - Optional. Garbage collection policy for the column or column family. Applies to systems like Cloud Bigtable.
- highest
Indexing StringType - Optional. Most important inclusion of this column.
- looker
Column Property MapSpec - Looker specific column info of this column.
- mode String
- Optional. A column's mode indicates whether values in this column are required, nullable, or repeated. Only
NULLABLE
,REQUIRED
, andREPEATED
values are supported. Default mode isNULLABLE
. - ordinal
Position Number - Optional. Ordinal position
- subcolumns List<Property Map>
- Optional. Schema of sub-columns. A column can have zero or more sub-columns.
- type String
- Type of the column. Must be a UTF-8 string with the maximum size of 128 bytes.
GoogleCloudDatacatalogV1Contacts, GoogleCloudDatacatalogV1ContactsArgs
- People
List<Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Contacts Person> - The list of contact people for the entry.
- People
[]Google
Cloud Datacatalog V1Contacts Person - The list of contact people for the entry.
- people
List<Google
Cloud Datacatalog V1Contacts Person> - The list of contact people for the entry.
- people
Google
Cloud Datacatalog V1Contacts Person[] - The list of contact people for the entry.
- people
Sequence[Google
Cloud Datacatalog V1Contacts Person] - The list of contact people for the entry.
- people List<Property Map>
- The list of contact people for the entry.
GoogleCloudDatacatalogV1ContactsPerson, GoogleCloudDatacatalogV1ContactsPersonArgs
- Designation string
- Designation of the person, for example, Data Steward.
- Email string
- Email of the person in the format of
john.doe@xyz
, ``, orJohn Doe
.
- Designation string
- Designation of the person, for example, Data Steward.
- Email string
- Email of the person in the format of
john.doe@xyz
, ``, orJohn Doe
.
- designation String
- Designation of the person, for example, Data Steward.
- email String
- Email of the person in the format of
john.doe@xyz
, ``, orJohn Doe
.
- designation string
- Designation of the person, for example, Data Steward.
- email string
- Email of the person in the format of
john.doe@xyz
, ``, orJohn Doe
.
- designation str
- Designation of the person, for example, Data Steward.
- email str
- Email of the person in the format of
john.doe@xyz
, ``, orJohn Doe
.
- designation String
- Designation of the person, for example, Data Steward.
- email String
- Email of the person in the format of
john.doe@xyz
, ``, orJohn Doe
.
GoogleCloudDatacatalogV1ContactsPersonResponse, GoogleCloudDatacatalogV1ContactsPersonResponseArgs
- Designation string
- Designation of the person, for example, Data Steward.
- Email string
- Email of the person in the format of
john.doe@xyz
, ``, orJohn Doe
.
- Designation string
- Designation of the person, for example, Data Steward.
- Email string
- Email of the person in the format of
john.doe@xyz
, ``, orJohn Doe
.
- designation String
- Designation of the person, for example, Data Steward.
- email String
- Email of the person in the format of
john.doe@xyz
, ``, orJohn Doe
.
- designation string
- Designation of the person, for example, Data Steward.
- email string
- Email of the person in the format of
john.doe@xyz
, ``, orJohn Doe
.
- designation str
- Designation of the person, for example, Data Steward.
- email str
- Email of the person in the format of
john.doe@xyz
, ``, orJohn Doe
.
- designation String
- Designation of the person, for example, Data Steward.
- email String
- Email of the person in the format of
john.doe@xyz
, ``, orJohn Doe
.
GoogleCloudDatacatalogV1ContactsResponse, GoogleCloudDatacatalogV1ContactsResponseArgs
- People
List<Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Contacts Person Response> - The list of contact people for the entry.
- People
[]Google
Cloud Datacatalog V1Contacts Person Response - The list of contact people for the entry.
- people
List<Google
Cloud Datacatalog V1Contacts Person Response> - The list of contact people for the entry.
- people
Google
Cloud Datacatalog V1Contacts Person Response[] - The list of contact people for the entry.
- people
Sequence[Google
Cloud Datacatalog V1Contacts Person Response] - The list of contact people for the entry.
- people List<Property Map>
- The list of contact people for the entry.
GoogleCloudDatacatalogV1DataSourceConnectionSpecResponse, GoogleCloudDatacatalogV1DataSourceConnectionSpecResponseArgs
- Bigquery
Connection Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Big Query Connection Spec Response - Fields specific to BigQuery connections.
- Bigquery
Connection GoogleSpec Cloud Datacatalog V1Big Query Connection Spec Response - Fields specific to BigQuery connections.
- bigquery
Connection GoogleSpec Cloud Datacatalog V1Big Query Connection Spec Response - Fields specific to BigQuery connections.
- bigquery
Connection GoogleSpec Cloud Datacatalog V1Big Query Connection Spec Response - Fields specific to BigQuery connections.
- bigquery_
connection_ Googlespec Cloud Datacatalog V1Big Query Connection Spec Response - Fields specific to BigQuery connections.
- bigquery
Connection Property MapSpec - Fields specific to BigQuery connections.
GoogleCloudDatacatalogV1DataSourceResponse, GoogleCloudDatacatalogV1DataSourceResponseArgs
- Resource string
- Full name of a resource as defined by the service. For example:
//bigquery.googleapis.com/projects/{PROJECT_ID}/locations/{LOCATION}/datasets/{DATASET_ID}/tables/{TABLE_ID}
- Service string
- Service that physically stores the data.
- Source
Entry string - Data Catalog entry name, if applicable.
- Storage
Properties Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Storage Properties Response - Detailed properties of the underlying storage.
- Resource string
- Full name of a resource as defined by the service. For example:
//bigquery.googleapis.com/projects/{PROJECT_ID}/locations/{LOCATION}/datasets/{DATASET_ID}/tables/{TABLE_ID}
- Service string
- Service that physically stores the data.
- Source
Entry string - Data Catalog entry name, if applicable.
- Storage
Properties GoogleCloud Datacatalog V1Storage Properties Response - Detailed properties of the underlying storage.
- resource String
- Full name of a resource as defined by the service. For example:
//bigquery.googleapis.com/projects/{PROJECT_ID}/locations/{LOCATION}/datasets/{DATASET_ID}/tables/{TABLE_ID}
- service String
- Service that physically stores the data.
- source
Entry String - Data Catalog entry name, if applicable.
- storage
Properties GoogleCloud Datacatalog V1Storage Properties Response - Detailed properties of the underlying storage.
- resource string
- Full name of a resource as defined by the service. For example:
//bigquery.googleapis.com/projects/{PROJECT_ID}/locations/{LOCATION}/datasets/{DATASET_ID}/tables/{TABLE_ID}
- service string
- Service that physically stores the data.
- source
Entry string - Data Catalog entry name, if applicable.
- storage
Properties GoogleCloud Datacatalog V1Storage Properties Response - Detailed properties of the underlying storage.
- resource str
- Full name of a resource as defined by the service. For example:
//bigquery.googleapis.com/projects/{PROJECT_ID}/locations/{LOCATION}/datasets/{DATASET_ID}/tables/{TABLE_ID}
- service str
- Service that physically stores the data.
- source_
entry str - Data Catalog entry name, if applicable.
- storage_
properties GoogleCloud Datacatalog V1Storage Properties Response - Detailed properties of the underlying storage.
- resource String
- Full name of a resource as defined by the service. For example:
//bigquery.googleapis.com/projects/{PROJECT_ID}/locations/{LOCATION}/datasets/{DATASET_ID}/tables/{TABLE_ID}
- service String
- Service that physically stores the data.
- source
Entry String - Data Catalog entry name, if applicable.
- storage
Properties Property Map - Detailed properties of the underlying storage.
GoogleCloudDatacatalogV1DatabaseTableSpec, GoogleCloudDatacatalogV1DatabaseTableSpecArgs
- Database
View Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Database Table Spec Database View Spec - Spec what aplies to tables that are actually views. Not set for "real" tables.
- Type
Pulumi.
Google Native. Data Catalog. V1. Google Cloud Datacatalog V1Database Table Spec Type - Type of this table.
- Database
View GoogleSpec Cloud Datacatalog V1Database Table Spec Database View Spec - Spec what aplies to tables that are actually views. Not set for "real" tables.
- Type
Google
Cloud Datacatalog V1Database Table Spec Type - Type of this table.
- database
View GoogleSpec Cloud Datacatalog V1Database Table Spec Database View Spec - Spec what aplies to tables that are actually views. Not set for "real" tables.
- type
Google
Cloud Datacatalog V1Database Table Spec Type - Type of this table.
- database
View GoogleSpec Cloud Datacatalog V1Database Table Spec Database View Spec - Spec what aplies to tables that are actually views. Not set for "real" tables.
- type
Google
Cloud Datacatalog V1Database Table Spec Type - Type of this table.
- database_
view_ Googlespec Cloud Datacatalog V1Database Table Spec Database View Spec - Spec what aplies to tables that are actually views. Not set for "real" tables.
- type
Google
Cloud Datacatalog V1Database Table Spec Type - Type of this table.
- database
View Property MapSpec - Spec what aplies to tables that are actually views. Not set for "real" tables.
- type "TABLE_TYPE_UNSPECIFIED" | "NATIVE" | "EXTERNAL"
- Type of this table.
GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpec, GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpecArgs
- Base
Table string - Name of a singular table this view reflects one to one.
- Sql
Query string - SQL query used to generate this view.
- View
Type Pulumi.Google Native. Data Catalog. V1. Google Cloud Datacatalog V1Database Table Spec Database View Spec View Type - Type of this view.
- Base
Table string - Name of a singular table this view reflects one to one.
- Sql
Query string - SQL query used to generate this view.
- View
Type GoogleCloud Datacatalog V1Database Table Spec Database View Spec View Type - Type of this view.
- base
Table String - Name of a singular table this view reflects one to one.
- sql
Query String - SQL query used to generate this view.
- view
Type GoogleCloud Datacatalog V1Database Table Spec Database View Spec View Type - Type of this view.
- base
Table string - Name of a singular table this view reflects one to one.
- sql
Query string - SQL query used to generate this view.
- view
Type GoogleCloud Datacatalog V1Database Table Spec Database View Spec View Type - Type of this view.
- base_
table str - Name of a singular table this view reflects one to one.
- sql_
query str - SQL query used to generate this view.
- view_
type GoogleCloud Datacatalog V1Database Table Spec Database View Spec View Type - Type of this view.
- base
Table String - Name of a singular table this view reflects one to one.
- sql
Query String - SQL query used to generate this view.
- view
Type "VIEW_TYPE_UNSPECIFIED" | "STANDARD_VIEW" | "MATERIALIZED_VIEW" - Type of this view.
GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpecResponse, GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpecResponseArgs
- base_
table str - Name of a singular table this view reflects one to one.
- sql_
query str - SQL query used to generate this view.
- view_
type str - Type of this view.
GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpecViewType, GoogleCloudDatacatalogV1DatabaseTableSpecDatabaseViewSpecViewTypeArgs
- View
Type Unspecified - VIEW_TYPE_UNSPECIFIEDDefault unknown view type.
- Standard
View - STANDARD_VIEWStandard view.
- Materialized
View - MATERIALIZED_VIEWMaterialized view.
- Google
Cloud Datacatalog V1Database Table Spec Database View Spec View Type View Type Unspecified - VIEW_TYPE_UNSPECIFIEDDefault unknown view type.
- Google
Cloud Datacatalog V1Database Table Spec Database View Spec View Type Standard View - STANDARD_VIEWStandard view.
- Google
Cloud Datacatalog V1Database Table Spec Database View Spec View Type Materialized View - MATERIALIZED_VIEWMaterialized view.
- View
Type Unspecified - VIEW_TYPE_UNSPECIFIEDDefault unknown view type.
- Standard
View - STANDARD_VIEWStandard view.
- Materialized
View - MATERIALIZED_VIEWMaterialized view.
- View
Type Unspecified - VIEW_TYPE_UNSPECIFIEDDefault unknown view type.
- Standard
View - STANDARD_VIEWStandard view.
- Materialized
View - MATERIALIZED_VIEWMaterialized view.
- VIEW_TYPE_UNSPECIFIED
- VIEW_TYPE_UNSPECIFIEDDefault unknown view type.
- STANDARD_VIEW
- STANDARD_VIEWStandard view.
- MATERIALIZED_VIEW
- MATERIALIZED_VIEWMaterialized view.
- "VIEW_TYPE_UNSPECIFIED"
- VIEW_TYPE_UNSPECIFIEDDefault unknown view type.
- "STANDARD_VIEW"
- STANDARD_VIEWStandard view.
- "MATERIALIZED_VIEW"
- MATERIALIZED_VIEWMaterialized view.
GoogleCloudDatacatalogV1DatabaseTableSpecResponse, GoogleCloudDatacatalogV1DatabaseTableSpecResponseArgs
- Database
View Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Database Table Spec Database View Spec Response - Spec what aplies to tables that are actually views. Not set for "real" tables.
- Dataplex
Table Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Dataplex Table Spec Response - Fields specific to a Dataplex table and present only in the Dataplex table entries.
- Type string
- Type of this table.
- Database
View GoogleSpec Cloud Datacatalog V1Database Table Spec Database View Spec Response - Spec what aplies to tables that are actually views. Not set for "real" tables.
- Dataplex
Table GoogleCloud Datacatalog V1Dataplex Table Spec Response - Fields specific to a Dataplex table and present only in the Dataplex table entries.
- Type string
- Type of this table.
- database
View GoogleSpec Cloud Datacatalog V1Database Table Spec Database View Spec Response - Spec what aplies to tables that are actually views. Not set for "real" tables.
- dataplex
Table GoogleCloud Datacatalog V1Dataplex Table Spec Response - Fields specific to a Dataplex table and present only in the Dataplex table entries.
- type String
- Type of this table.
- database
View GoogleSpec Cloud Datacatalog V1Database Table Spec Database View Spec Response - Spec what aplies to tables that are actually views. Not set for "real" tables.
- dataplex
Table GoogleCloud Datacatalog V1Dataplex Table Spec Response - Fields specific to a Dataplex table and present only in the Dataplex table entries.
- type string
- Type of this table.
- database_
view_ Googlespec Cloud Datacatalog V1Database Table Spec Database View Spec Response - Spec what aplies to tables that are actually views. Not set for "real" tables.
- dataplex_
table GoogleCloud Datacatalog V1Dataplex Table Spec Response - Fields specific to a Dataplex table and present only in the Dataplex table entries.
- type str
- Type of this table.
- database
View Property MapSpec - Spec what aplies to tables that are actually views. Not set for "real" tables.
- dataplex
Table Property Map - Fields specific to a Dataplex table and present only in the Dataplex table entries.
- type String
- Type of this table.
GoogleCloudDatacatalogV1DatabaseTableSpecType, GoogleCloudDatacatalogV1DatabaseTableSpecTypeArgs
- Table
Type Unspecified - TABLE_TYPE_UNSPECIFIEDDefault unknown table type.
- Native
- NATIVENative table.
- External
- EXTERNALExternal table.
- Google
Cloud Datacatalog V1Database Table Spec Type Table Type Unspecified - TABLE_TYPE_UNSPECIFIEDDefault unknown table type.
- Google
Cloud Datacatalog V1Database Table Spec Type Native - NATIVENative table.
- Google
Cloud Datacatalog V1Database Table Spec Type External - EXTERNALExternal table.
- Table
Type Unspecified - TABLE_TYPE_UNSPECIFIEDDefault unknown table type.
- Native
- NATIVENative table.
- External
- EXTERNALExternal table.
- Table
Type Unspecified - TABLE_TYPE_UNSPECIFIEDDefault unknown table type.
- Native
- NATIVENative table.
- External
- EXTERNALExternal table.
- TABLE_TYPE_UNSPECIFIED
- TABLE_TYPE_UNSPECIFIEDDefault unknown table type.
- NATIVE
- NATIVENative table.
- EXTERNAL
- EXTERNALExternal table.
- "TABLE_TYPE_UNSPECIFIED"
- TABLE_TYPE_UNSPECIFIEDDefault unknown table type.
- "NATIVE"
- NATIVENative table.
- "EXTERNAL"
- EXTERNALExternal table.
GoogleCloudDatacatalogV1DataplexExternalTableResponse, GoogleCloudDatacatalogV1DataplexExternalTableResponseArgs
- Data
Catalog stringEntry - Name of the Data Catalog entry representing the external table.
- Fully
Qualified stringName - Fully qualified name (FQN) of the external table.
- Google
Cloud stringResource - Google Cloud resource name of the external table.
- System string
- Service in which the external table is registered.
- Data
Catalog stringEntry - Name of the Data Catalog entry representing the external table.
- Fully
Qualified stringName - Fully qualified name (FQN) of the external table.
- Google
Cloud stringResource - Google Cloud resource name of the external table.
- System string
- Service in which the external table is registered.
- data
Catalog StringEntry - Name of the Data Catalog entry representing the external table.
- fully
Qualified StringName - Fully qualified name (FQN) of the external table.
- google
Cloud StringResource - Google Cloud resource name of the external table.
- system String
- Service in which the external table is registered.
- data
Catalog stringEntry - Name of the Data Catalog entry representing the external table.
- fully
Qualified stringName - Fully qualified name (FQN) of the external table.
- google
Cloud stringResource - Google Cloud resource name of the external table.
- system string
- Service in which the external table is registered.
- data_
catalog_ strentry - Name of the Data Catalog entry representing the external table.
- fully_
qualified_ strname - Fully qualified name (FQN) of the external table.
- google_
cloud_ strresource - Google Cloud resource name of the external table.
- system str
- Service in which the external table is registered.
- data
Catalog StringEntry - Name of the Data Catalog entry representing the external table.
- fully
Qualified StringName - Fully qualified name (FQN) of the external table.
- google
Cloud StringResource - Google Cloud resource name of the external table.
- system String
- Service in which the external table is registered.
GoogleCloudDatacatalogV1DataplexFilesetSpec, GoogleCloudDatacatalogV1DataplexFilesetSpecArgs
- Dataplex
Spec Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Dataplex Spec - Common Dataplex fields.
- Dataplex
Spec GoogleCloud Datacatalog V1Dataplex Spec - Common Dataplex fields.
- dataplex
Spec GoogleCloud Datacatalog V1Dataplex Spec - Common Dataplex fields.
- dataplex
Spec GoogleCloud Datacatalog V1Dataplex Spec - Common Dataplex fields.
- dataplex_
spec GoogleCloud Datacatalog V1Dataplex Spec - Common Dataplex fields.
- dataplex
Spec Property Map - Common Dataplex fields.
GoogleCloudDatacatalogV1DataplexFilesetSpecResponse, GoogleCloudDatacatalogV1DataplexFilesetSpecResponseArgs
- Dataplex
Spec GoogleCloud Datacatalog V1Dataplex Spec Response - Common Dataplex fields.
- dataplex
Spec GoogleCloud Datacatalog V1Dataplex Spec Response - Common Dataplex fields.
- dataplex
Spec GoogleCloud Datacatalog V1Dataplex Spec Response - Common Dataplex fields.
- dataplex_
spec GoogleCloud Datacatalog V1Dataplex Spec Response - Common Dataplex fields.
- dataplex
Spec Property Map - Common Dataplex fields.
GoogleCloudDatacatalogV1DataplexSpec, GoogleCloudDatacatalogV1DataplexSpecArgs
- Asset string
- Fully qualified resource name of an asset in Dataplex, to which the underlying data source (Cloud Storage bucket or BigQuery dataset) of the entity is attached.
- Compression
Format string - Compression format of the data, e.g., zip, gzip etc.
- Data
Format Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema - Format of the data.
- Project string
- Project ID of the underlying Cloud Storage or BigQuery data. Note that this may not be the same project as the correspondingly Dataplex lake / zone / asset.
- Asset string
- Fully qualified resource name of an asset in Dataplex, to which the underlying data source (Cloud Storage bucket or BigQuery dataset) of the entity is attached.
- Compression
Format string - Compression format of the data, e.g., zip, gzip etc.
- Data
Format GoogleCloud Datacatalog V1Physical Schema - Format of the data.
- Project string
- Project ID of the underlying Cloud Storage or BigQuery data. Note that this may not be the same project as the correspondingly Dataplex lake / zone / asset.
- asset String
- Fully qualified resource name of an asset in Dataplex, to which the underlying data source (Cloud Storage bucket or BigQuery dataset) of the entity is attached.
- compression
Format String - Compression format of the data, e.g., zip, gzip etc.
- data
Format GoogleCloud Datacatalog V1Physical Schema - Format of the data.
- project String
- Project ID of the underlying Cloud Storage or BigQuery data. Note that this may not be the same project as the correspondingly Dataplex lake / zone / asset.
- asset string
- Fully qualified resource name of an asset in Dataplex, to which the underlying data source (Cloud Storage bucket or BigQuery dataset) of the entity is attached.
- compression
Format string - Compression format of the data, e.g., zip, gzip etc.
- data
Format GoogleCloud Datacatalog V1Physical Schema - Format of the data.
- project string
- Project ID of the underlying Cloud Storage or BigQuery data. Note that this may not be the same project as the correspondingly Dataplex lake / zone / asset.
- asset str
- Fully qualified resource name of an asset in Dataplex, to which the underlying data source (Cloud Storage bucket or BigQuery dataset) of the entity is attached.
- compression_
format str - Compression format of the data, e.g., zip, gzip etc.
- data_
format GoogleCloud Datacatalog V1Physical Schema - Format of the data.
- project str
- Project ID of the underlying Cloud Storage or BigQuery data. Note that this may not be the same project as the correspondingly Dataplex lake / zone / asset.
- asset String
- Fully qualified resource name of an asset in Dataplex, to which the underlying data source (Cloud Storage bucket or BigQuery dataset) of the entity is attached.
- compression
Format String - Compression format of the data, e.g., zip, gzip etc.
- data
Format Property Map - Format of the data.
- project String
- Project ID of the underlying Cloud Storage or BigQuery data. Note that this may not be the same project as the correspondingly Dataplex lake / zone / asset.
GoogleCloudDatacatalogV1DataplexSpecResponse, GoogleCloudDatacatalogV1DataplexSpecResponseArgs
- Asset string
- Fully qualified resource name of an asset in Dataplex, to which the underlying data source (Cloud Storage bucket or BigQuery dataset) of the entity is attached.
- Compression
Format string - Compression format of the data, e.g., zip, gzip etc.
- Data
Format Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema Response - Format of the data.
- Project string
- Project ID of the underlying Cloud Storage or BigQuery data. Note that this may not be the same project as the correspondingly Dataplex lake / zone / asset.
- Asset string
- Fully qualified resource name of an asset in Dataplex, to which the underlying data source (Cloud Storage bucket or BigQuery dataset) of the entity is attached.
- Compression
Format string - Compression format of the data, e.g., zip, gzip etc.
- Data
Format GoogleCloud Datacatalog V1Physical Schema Response - Format of the data.
- Project string
- Project ID of the underlying Cloud Storage or BigQuery data. Note that this may not be the same project as the correspondingly Dataplex lake / zone / asset.
- asset String
- Fully qualified resource name of an asset in Dataplex, to which the underlying data source (Cloud Storage bucket or BigQuery dataset) of the entity is attached.
- compression
Format String - Compression format of the data, e.g., zip, gzip etc.
- data
Format GoogleCloud Datacatalog V1Physical Schema Response - Format of the data.
- project String
- Project ID of the underlying Cloud Storage or BigQuery data. Note that this may not be the same project as the correspondingly Dataplex lake / zone / asset.
- asset string
- Fully qualified resource name of an asset in Dataplex, to which the underlying data source (Cloud Storage bucket or BigQuery dataset) of the entity is attached.
- compression
Format string - Compression format of the data, e.g., zip, gzip etc.
- data
Format GoogleCloud Datacatalog V1Physical Schema Response - Format of the data.
- project string
- Project ID of the underlying Cloud Storage or BigQuery data. Note that this may not be the same project as the correspondingly Dataplex lake / zone / asset.
- asset str
- Fully qualified resource name of an asset in Dataplex, to which the underlying data source (Cloud Storage bucket or BigQuery dataset) of the entity is attached.
- compression_
format str - Compression format of the data, e.g., zip, gzip etc.
- data_
format GoogleCloud Datacatalog V1Physical Schema Response - Format of the data.
- project str
- Project ID of the underlying Cloud Storage or BigQuery data. Note that this may not be the same project as the correspondingly Dataplex lake / zone / asset.
- asset String
- Fully qualified resource name of an asset in Dataplex, to which the underlying data source (Cloud Storage bucket or BigQuery dataset) of the entity is attached.
- compression
Format String - Compression format of the data, e.g., zip, gzip etc.
- data
Format Property Map - Format of the data.
- project String
- Project ID of the underlying Cloud Storage or BigQuery data. Note that this may not be the same project as the correspondingly Dataplex lake / zone / asset.
GoogleCloudDatacatalogV1DataplexTableSpecResponse, GoogleCloudDatacatalogV1DataplexTableSpecResponseArgs
- Dataplex
Spec Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Dataplex Spec Response - Common Dataplex fields.
- External
Tables List<Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Dataplex External Table Response> - List of external tables registered by Dataplex in other systems based on the same underlying data. External tables allow to query this data in those systems.
- User
Managed bool - Indicates if the table schema is managed by the user or not.
- Dataplex
Spec GoogleCloud Datacatalog V1Dataplex Spec Response - Common Dataplex fields.
- External
Tables []GoogleCloud Datacatalog V1Dataplex External Table Response - List of external tables registered by Dataplex in other systems based on the same underlying data. External tables allow to query this data in those systems.
- User
Managed bool - Indicates if the table schema is managed by the user or not.
- dataplex
Spec GoogleCloud Datacatalog V1Dataplex Spec Response - Common Dataplex fields.
- external
Tables List<GoogleCloud Datacatalog V1Dataplex External Table Response> - List of external tables registered by Dataplex in other systems based on the same underlying data. External tables allow to query this data in those systems.
- user
Managed Boolean - Indicates if the table schema is managed by the user or not.
- dataplex
Spec GoogleCloud Datacatalog V1Dataplex Spec Response - Common Dataplex fields.
- external
Tables GoogleCloud Datacatalog V1Dataplex External Table Response[] - List of external tables registered by Dataplex in other systems based on the same underlying data. External tables allow to query this data in those systems.
- user
Managed boolean - Indicates if the table schema is managed by the user or not.
- dataplex_
spec GoogleCloud Datacatalog V1Dataplex Spec Response - Common Dataplex fields.
- external_
tables Sequence[GoogleCloud Datacatalog V1Dataplex External Table Response] - List of external tables registered by Dataplex in other systems based on the same underlying data. External tables allow to query this data in those systems.
- user_
managed bool - Indicates if the table schema is managed by the user or not.
- dataplex
Spec Property Map - Common Dataplex fields.
- external
Tables List<Property Map> - List of external tables registered by Dataplex in other systems based on the same underlying data. External tables allow to query this data in those systems.
- user
Managed Boolean - Indicates if the table schema is managed by the user or not.
GoogleCloudDatacatalogV1DatasetSpec, GoogleCloudDatacatalogV1DatasetSpecArgs
- Vertex
Dataset Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Vertex Dataset Spec - Vertex AI Dataset specific fields
- Vertex
Dataset GoogleSpec Cloud Datacatalog V1Vertex Dataset Spec - Vertex AI Dataset specific fields
- vertex
Dataset GoogleSpec Cloud Datacatalog V1Vertex Dataset Spec - Vertex AI Dataset specific fields
- vertex
Dataset GoogleSpec Cloud Datacatalog V1Vertex Dataset Spec - Vertex AI Dataset specific fields
- vertex_
dataset_ Googlespec Cloud Datacatalog V1Vertex Dataset Spec - Vertex AI Dataset specific fields
- vertex
Dataset Property MapSpec - Vertex AI Dataset specific fields
GoogleCloudDatacatalogV1DatasetSpecResponse, GoogleCloudDatacatalogV1DatasetSpecResponseArgs
- Vertex
Dataset Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Vertex Dataset Spec Response - Vertex AI Dataset specific fields
- Vertex
Dataset GoogleSpec Cloud Datacatalog V1Vertex Dataset Spec Response - Vertex AI Dataset specific fields
- vertex
Dataset GoogleSpec Cloud Datacatalog V1Vertex Dataset Spec Response - Vertex AI Dataset specific fields
- vertex
Dataset GoogleSpec Cloud Datacatalog V1Vertex Dataset Spec Response - Vertex AI Dataset specific fields
- vertex_
dataset_ Googlespec Cloud Datacatalog V1Vertex Dataset Spec Response - Vertex AI Dataset specific fields
- vertex
Dataset Property MapSpec - Vertex AI Dataset specific fields
GoogleCloudDatacatalogV1EntryOverview, GoogleCloudDatacatalogV1EntryOverviewArgs
- Overview string
- Entry overview with support for rich text. The overview must only contain Unicode characters, and should be formatted using HTML. The maximum length is 10 MiB as this value holds HTML descriptions including encoded images. The maximum length of the text without images is 100 KiB.
- Overview string
- Entry overview with support for rich text. The overview must only contain Unicode characters, and should be formatted using HTML. The maximum length is 10 MiB as this value holds HTML descriptions including encoded images. The maximum length of the text without images is 100 KiB.
- overview String
- Entry overview with support for rich text. The overview must only contain Unicode characters, and should be formatted using HTML. The maximum length is 10 MiB as this value holds HTML descriptions including encoded images. The maximum length of the text without images is 100 KiB.
- overview string
- Entry overview with support for rich text. The overview must only contain Unicode characters, and should be formatted using HTML. The maximum length is 10 MiB as this value holds HTML descriptions including encoded images. The maximum length of the text without images is 100 KiB.
- overview str
- Entry overview with support for rich text. The overview must only contain Unicode characters, and should be formatted using HTML. The maximum length is 10 MiB as this value holds HTML descriptions including encoded images. The maximum length of the text without images is 100 KiB.
- overview String
- Entry overview with support for rich text. The overview must only contain Unicode characters, and should be formatted using HTML. The maximum length is 10 MiB as this value holds HTML descriptions including encoded images. The maximum length of the text without images is 100 KiB.
GoogleCloudDatacatalogV1EntryOverviewResponse, GoogleCloudDatacatalogV1EntryOverviewResponseArgs
- Overview string
- Entry overview with support for rich text. The overview must only contain Unicode characters, and should be formatted using HTML. The maximum length is 10 MiB as this value holds HTML descriptions including encoded images. The maximum length of the text without images is 100 KiB.
- Overview string
- Entry overview with support for rich text. The overview must only contain Unicode characters, and should be formatted using HTML. The maximum length is 10 MiB as this value holds HTML descriptions including encoded images. The maximum length of the text without images is 100 KiB.
- overview String
- Entry overview with support for rich text. The overview must only contain Unicode characters, and should be formatted using HTML. The maximum length is 10 MiB as this value holds HTML descriptions including encoded images. The maximum length of the text without images is 100 KiB.
- overview string
- Entry overview with support for rich text. The overview must only contain Unicode characters, and should be formatted using HTML. The maximum length is 10 MiB as this value holds HTML descriptions including encoded images. The maximum length of the text without images is 100 KiB.
- overview str
- Entry overview with support for rich text. The overview must only contain Unicode characters, and should be formatted using HTML. The maximum length is 10 MiB as this value holds HTML descriptions including encoded images. The maximum length of the text without images is 100 KiB.
- overview String
- Entry overview with support for rich text. The overview must only contain Unicode characters, and should be formatted using HTML. The maximum length is 10 MiB as this value holds HTML descriptions including encoded images. The maximum length of the text without images is 100 KiB.
GoogleCloudDatacatalogV1FilesetSpec, GoogleCloudDatacatalogV1FilesetSpecArgs
- Dataplex
Fileset Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Dataplex Fileset Spec - Fields specific to a Dataplex fileset and present only in the Dataplex fileset entries.
- Dataplex
Fileset GoogleCloud Datacatalog V1Dataplex Fileset Spec - Fields specific to a Dataplex fileset and present only in the Dataplex fileset entries.
- dataplex
Fileset GoogleCloud Datacatalog V1Dataplex Fileset Spec - Fields specific to a Dataplex fileset and present only in the Dataplex fileset entries.
- dataplex
Fileset GoogleCloud Datacatalog V1Dataplex Fileset Spec - Fields specific to a Dataplex fileset and present only in the Dataplex fileset entries.
- dataplex_
fileset GoogleCloud Datacatalog V1Dataplex Fileset Spec - Fields specific to a Dataplex fileset and present only in the Dataplex fileset entries.
- dataplex
Fileset Property Map - Fields specific to a Dataplex fileset and present only in the Dataplex fileset entries.
GoogleCloudDatacatalogV1FilesetSpecResponse, GoogleCloudDatacatalogV1FilesetSpecResponseArgs
- Dataplex
Fileset Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Dataplex Fileset Spec Response - Fields specific to a Dataplex fileset and present only in the Dataplex fileset entries.
- Dataplex
Fileset GoogleCloud Datacatalog V1Dataplex Fileset Spec Response - Fields specific to a Dataplex fileset and present only in the Dataplex fileset entries.
- dataplex
Fileset GoogleCloud Datacatalog V1Dataplex Fileset Spec Response - Fields specific to a Dataplex fileset and present only in the Dataplex fileset entries.
- dataplex
Fileset GoogleCloud Datacatalog V1Dataplex Fileset Spec Response - Fields specific to a Dataplex fileset and present only in the Dataplex fileset entries.
- dataplex_
fileset GoogleCloud Datacatalog V1Dataplex Fileset Spec Response - Fields specific to a Dataplex fileset and present only in the Dataplex fileset entries.
- dataplex
Fileset Property Map - Fields specific to a Dataplex fileset and present only in the Dataplex fileset entries.
GoogleCloudDatacatalogV1GcsFileSpecResponse, GoogleCloudDatacatalogV1GcsFileSpecResponseArgs
- File
Path string - Full file path. Example:
gs://bucket_name/a/b.txt
. - Gcs
Timestamps Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1System Timestamps Response - Creation, modification, and expiration timestamps of a Cloud Storage file.
- Size
Bytes string - File size in bytes.
- File
Path string - Full file path. Example:
gs://bucket_name/a/b.txt
. - Gcs
Timestamps GoogleCloud Datacatalog V1System Timestamps Response - Creation, modification, and expiration timestamps of a Cloud Storage file.
- Size
Bytes string - File size in bytes.
- file
Path String - Full file path. Example:
gs://bucket_name/a/b.txt
. - gcs
Timestamps GoogleCloud Datacatalog V1System Timestamps Response - Creation, modification, and expiration timestamps of a Cloud Storage file.
- size
Bytes String - File size in bytes.
- file
Path string - Full file path. Example:
gs://bucket_name/a/b.txt
. - gcs
Timestamps GoogleCloud Datacatalog V1System Timestamps Response - Creation, modification, and expiration timestamps of a Cloud Storage file.
- size
Bytes string - File size in bytes.
- file_
path str - Full file path. Example:
gs://bucket_name/a/b.txt
. - gcs_
timestamps GoogleCloud Datacatalog V1System Timestamps Response - Creation, modification, and expiration timestamps of a Cloud Storage file.
- size_
bytes str - File size in bytes.
- file
Path String - Full file path. Example:
gs://bucket_name/a/b.txt
. - gcs
Timestamps Property Map - Creation, modification, and expiration timestamps of a Cloud Storage file.
- size
Bytes String - File size in bytes.
GoogleCloudDatacatalogV1GcsFilesetSpec, GoogleCloudDatacatalogV1GcsFilesetSpecArgs
- File
Patterns List<string> - Patterns to identify a set of files in Google Cloud Storage. For more information, see [Wildcard Names] (https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames). Note: Currently, bucket wildcards are not supported. Examples of valid
file_patterns
: *gs://bucket_name/dir/*
: matches all files inbucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files inbucket_name/dir
and all subdirectories *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
You can combine wildcards to match complex sets of files, for example:gs://bucket_name/[a-m]??.j*g
- File
Patterns []string - Patterns to identify a set of files in Google Cloud Storage. For more information, see [Wildcard Names] (https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames). Note: Currently, bucket wildcards are not supported. Examples of valid
file_patterns
: *gs://bucket_name/dir/*
: matches all files inbucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files inbucket_name/dir
and all subdirectories *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
You can combine wildcards to match complex sets of files, for example:gs://bucket_name/[a-m]??.j*g
- file
Patterns List<String> - Patterns to identify a set of files in Google Cloud Storage. For more information, see [Wildcard Names] (https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames). Note: Currently, bucket wildcards are not supported. Examples of valid
file_patterns
: *gs://bucket_name/dir/*
: matches all files inbucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files inbucket_name/dir
and all subdirectories *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
You can combine wildcards to match complex sets of files, for example:gs://bucket_name/[a-m]??.j*g
- file
Patterns string[] - Patterns to identify a set of files in Google Cloud Storage. For more information, see [Wildcard Names] (https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames). Note: Currently, bucket wildcards are not supported. Examples of valid
file_patterns
: *gs://bucket_name/dir/*
: matches all files inbucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files inbucket_name/dir
and all subdirectories *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
You can combine wildcards to match complex sets of files, for example:gs://bucket_name/[a-m]??.j*g
- file_
patterns Sequence[str] - Patterns to identify a set of files in Google Cloud Storage. For more information, see [Wildcard Names] (https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames). Note: Currently, bucket wildcards are not supported. Examples of valid
file_patterns
: *gs://bucket_name/dir/*
: matches all files inbucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files inbucket_name/dir
and all subdirectories *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
You can combine wildcards to match complex sets of files, for example:gs://bucket_name/[a-m]??.j*g
- file
Patterns List<String> - Patterns to identify a set of files in Google Cloud Storage. For more information, see [Wildcard Names] (https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames). Note: Currently, bucket wildcards are not supported. Examples of valid
file_patterns
: *gs://bucket_name/dir/*
: matches all files inbucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files inbucket_name/dir
and all subdirectories *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
You can combine wildcards to match complex sets of files, for example:gs://bucket_name/[a-m]??.j*g
GoogleCloudDatacatalogV1GcsFilesetSpecResponse, GoogleCloudDatacatalogV1GcsFilesetSpecResponseArgs
- File
Patterns List<string> - Patterns to identify a set of files in Google Cloud Storage. For more information, see [Wildcard Names] (https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames). Note: Currently, bucket wildcards are not supported. Examples of valid
file_patterns
: *gs://bucket_name/dir/*
: matches all files inbucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files inbucket_name/dir
and all subdirectories *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
You can combine wildcards to match complex sets of files, for example:gs://bucket_name/[a-m]??.j*g
- Sample
Gcs List<Pulumi.File Specs Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Gcs File Spec Response> - Sample files contained in this fileset, not all files contained in this fileset are represented here.
- File
Patterns []string - Patterns to identify a set of files in Google Cloud Storage. For more information, see [Wildcard Names] (https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames). Note: Currently, bucket wildcards are not supported. Examples of valid
file_patterns
: *gs://bucket_name/dir/*
: matches all files inbucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files inbucket_name/dir
and all subdirectories *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
You can combine wildcards to match complex sets of files, for example:gs://bucket_name/[a-m]??.j*g
- Sample
Gcs []GoogleFile Specs Cloud Datacatalog V1Gcs File Spec Response - Sample files contained in this fileset, not all files contained in this fileset are represented here.
- file
Patterns List<String> - Patterns to identify a set of files in Google Cloud Storage. For more information, see [Wildcard Names] (https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames). Note: Currently, bucket wildcards are not supported. Examples of valid
file_patterns
: *gs://bucket_name/dir/*
: matches all files inbucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files inbucket_name/dir
and all subdirectories *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
You can combine wildcards to match complex sets of files, for example:gs://bucket_name/[a-m]??.j*g
- sample
Gcs List<GoogleFile Specs Cloud Datacatalog V1Gcs File Spec Response> - Sample files contained in this fileset, not all files contained in this fileset are represented here.
- file
Patterns string[] - Patterns to identify a set of files in Google Cloud Storage. For more information, see [Wildcard Names] (https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames). Note: Currently, bucket wildcards are not supported. Examples of valid
file_patterns
: *gs://bucket_name/dir/*
: matches all files inbucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files inbucket_name/dir
and all subdirectories *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
You can combine wildcards to match complex sets of files, for example:gs://bucket_name/[a-m]??.j*g
- sample
Gcs GoogleFile Specs Cloud Datacatalog V1Gcs File Spec Response[] - Sample files contained in this fileset, not all files contained in this fileset are represented here.
- file_
patterns Sequence[str] - Patterns to identify a set of files in Google Cloud Storage. For more information, see [Wildcard Names] (https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames). Note: Currently, bucket wildcards are not supported. Examples of valid
file_patterns
: *gs://bucket_name/dir/*
: matches all files inbucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files inbucket_name/dir
and all subdirectories *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
You can combine wildcards to match complex sets of files, for example:gs://bucket_name/[a-m]??.j*g
- sample_
gcs_ Sequence[Googlefile_ specs Cloud Datacatalog V1Gcs File Spec Response] - Sample files contained in this fileset, not all files contained in this fileset are represented here.
- file
Patterns List<String> - Patterns to identify a set of files in Google Cloud Storage. For more information, see [Wildcard Names] (https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames). Note: Currently, bucket wildcards are not supported. Examples of valid
file_patterns
: *gs://bucket_name/dir/*
: matches all files inbucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files inbucket_name/dir
and all subdirectories *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
You can combine wildcards to match complex sets of files, for example:gs://bucket_name/[a-m]??.j*g
- sample
Gcs List<Property Map>File Specs - Sample files contained in this fileset, not all files contained in this fileset are represented here.
GoogleCloudDatacatalogV1LookerSystemSpec, GoogleCloudDatacatalogV1LookerSystemSpecArgs
- Parent
Instance stringDisplay Name - Name of the parent Looker Instance. Empty if it does not exist.
- Parent
Instance stringId - ID of the parent Looker Instance. Empty if it does not exist. Example value:
someinstance.looker.com
- Parent
Model stringDisplay Name - Name of the parent Model. Empty if it does not exist.
- Parent
Model stringId - ID of the parent Model. Empty if it does not exist.
- Parent
View stringDisplay Name - Name of the parent View. Empty if it does not exist.
- Parent
View stringId - ID of the parent View. Empty if it does not exist.
- Parent
Instance stringDisplay Name - Name of the parent Looker Instance. Empty if it does not exist.
- Parent
Instance stringId - ID of the parent Looker Instance. Empty if it does not exist. Example value:
someinstance.looker.com
- Parent
Model stringDisplay Name - Name of the parent Model. Empty if it does not exist.
- Parent
Model stringId - ID of the parent Model. Empty if it does not exist.
- Parent
View stringDisplay Name - Name of the parent View. Empty if it does not exist.
- Parent
View stringId - ID of the parent View. Empty if it does not exist.
- parent
Instance StringDisplay Name - Name of the parent Looker Instance. Empty if it does not exist.
- parent
Instance StringId - ID of the parent Looker Instance. Empty if it does not exist. Example value:
someinstance.looker.com
- parent
Model StringDisplay Name - Name of the parent Model. Empty if it does not exist.
- parent
Model StringId - ID of the parent Model. Empty if it does not exist.
- parent
View StringDisplay Name - Name of the parent View. Empty if it does not exist.
- parent
View StringId - ID of the parent View. Empty if it does not exist.
- parent
Instance stringDisplay Name - Name of the parent Looker Instance. Empty if it does not exist.
- parent
Instance stringId - ID of the parent Looker Instance. Empty if it does not exist. Example value:
someinstance.looker.com
- parent
Model stringDisplay Name - Name of the parent Model. Empty if it does not exist.
- parent
Model stringId - ID of the parent Model. Empty if it does not exist.
- parent
View stringDisplay Name - Name of the parent View. Empty if it does not exist.
- parent
View stringId - ID of the parent View. Empty if it does not exist.
- parent_
instance_ strdisplay_ name - Name of the parent Looker Instance. Empty if it does not exist.
- parent_
instance_ strid - ID of the parent Looker Instance. Empty if it does not exist. Example value:
someinstance.looker.com
- parent_
model_ strdisplay_ name - Name of the parent Model. Empty if it does not exist.
- parent_
model_ strid - ID of the parent Model. Empty if it does not exist.
- parent_
view_ strdisplay_ name - Name of the parent View. Empty if it does not exist.
- parent_
view_ strid - ID of the parent View. Empty if it does not exist.
- parent
Instance StringDisplay Name - Name of the parent Looker Instance. Empty if it does not exist.
- parent
Instance StringId - ID of the parent Looker Instance. Empty if it does not exist. Example value:
someinstance.looker.com
- parent
Model StringDisplay Name - Name of the parent Model. Empty if it does not exist.
- parent
Model StringId - ID of the parent Model. Empty if it does not exist.
- parent
View StringDisplay Name - Name of the parent View. Empty if it does not exist.
- parent
View StringId - ID of the parent View. Empty if it does not exist.
GoogleCloudDatacatalogV1LookerSystemSpecResponse, GoogleCloudDatacatalogV1LookerSystemSpecResponseArgs
- Parent
Instance stringDisplay Name - Name of the parent Looker Instance. Empty if it does not exist.
- Parent
Instance stringId - ID of the parent Looker Instance. Empty if it does not exist. Example value:
someinstance.looker.com
- Parent
Model stringDisplay Name - Name of the parent Model. Empty if it does not exist.
- Parent
Model stringId - ID of the parent Model. Empty if it does not exist.
- Parent
View stringDisplay Name - Name of the parent View. Empty if it does not exist.
- Parent
View stringId - ID of the parent View. Empty if it does not exist.
- Parent
Instance stringDisplay Name - Name of the parent Looker Instance. Empty if it does not exist.
- Parent
Instance stringId - ID of the parent Looker Instance. Empty if it does not exist. Example value:
someinstance.looker.com
- Parent
Model stringDisplay Name - Name of the parent Model. Empty if it does not exist.
- Parent
Model stringId - ID of the parent Model. Empty if it does not exist.
- Parent
View stringDisplay Name - Name of the parent View. Empty if it does not exist.
- Parent
View stringId - ID of the parent View. Empty if it does not exist.
- parent
Instance StringDisplay Name - Name of the parent Looker Instance. Empty if it does not exist.
- parent
Instance StringId - ID of the parent Looker Instance. Empty if it does not exist. Example value:
someinstance.looker.com
- parent
Model StringDisplay Name - Name of the parent Model. Empty if it does not exist.
- parent
Model StringId - ID of the parent Model. Empty if it does not exist.
- parent
View StringDisplay Name - Name of the parent View. Empty if it does not exist.
- parent
View StringId - ID of the parent View. Empty if it does not exist.
- parent
Instance stringDisplay Name - Name of the parent Looker Instance. Empty if it does not exist.
- parent
Instance stringId - ID of the parent Looker Instance. Empty if it does not exist. Example value:
someinstance.looker.com
- parent
Model stringDisplay Name - Name of the parent Model. Empty if it does not exist.
- parent
Model stringId - ID of the parent Model. Empty if it does not exist.
- parent
View stringDisplay Name - Name of the parent View. Empty if it does not exist.
- parent
View stringId - ID of the parent View. Empty if it does not exist.
- parent_
instance_ strdisplay_ name - Name of the parent Looker Instance. Empty if it does not exist.
- parent_
instance_ strid - ID of the parent Looker Instance. Empty if it does not exist. Example value:
someinstance.looker.com
- parent_
model_ strdisplay_ name - Name of the parent Model. Empty if it does not exist.
- parent_
model_ strid - ID of the parent Model. Empty if it does not exist.
- parent_
view_ strdisplay_ name - Name of the parent View. Empty if it does not exist.
- parent_
view_ strid - ID of the parent View. Empty if it does not exist.
- parent
Instance StringDisplay Name - Name of the parent Looker Instance. Empty if it does not exist.
- parent
Instance StringId - ID of the parent Looker Instance. Empty if it does not exist. Example value:
someinstance.looker.com
- parent
Model StringDisplay Name - Name of the parent Model. Empty if it does not exist.
- parent
Model StringId - ID of the parent Model. Empty if it does not exist.
- parent
View StringDisplay Name - Name of the parent View. Empty if it does not exist.
- parent
View StringId - ID of the parent View. Empty if it does not exist.
GoogleCloudDatacatalogV1ModelSpec, GoogleCloudDatacatalogV1ModelSpecArgs
- Vertex
Model Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Vertex Model Spec - Specification for vertex model resources.
- Vertex
Model GoogleSpec Cloud Datacatalog V1Vertex Model Spec - Specification for vertex model resources.
- vertex
Model GoogleSpec Cloud Datacatalog V1Vertex Model Spec - Specification for vertex model resources.
- vertex
Model GoogleSpec Cloud Datacatalog V1Vertex Model Spec - Specification for vertex model resources.
- vertex_
model_ Googlespec Cloud Datacatalog V1Vertex Model Spec - Specification for vertex model resources.
- vertex
Model Property MapSpec - Specification for vertex model resources.
GoogleCloudDatacatalogV1ModelSpecResponse, GoogleCloudDatacatalogV1ModelSpecResponseArgs
- Vertex
Model Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Vertex Model Spec Response - Specification for vertex model resources.
- Vertex
Model GoogleSpec Cloud Datacatalog V1Vertex Model Spec Response - Specification for vertex model resources.
- vertex
Model GoogleSpec Cloud Datacatalog V1Vertex Model Spec Response - Specification for vertex model resources.
- vertex
Model GoogleSpec Cloud Datacatalog V1Vertex Model Spec Response - Specification for vertex model resources.
- vertex_
model_ Googlespec Cloud Datacatalog V1Vertex Model Spec Response - Specification for vertex model resources.
- vertex
Model Property MapSpec - Specification for vertex model resources.
GoogleCloudDatacatalogV1PersonalDetailsResponse, GoogleCloudDatacatalogV1PersonalDetailsResponseArgs
GoogleCloudDatacatalogV1PhysicalSchema, GoogleCloudDatacatalogV1PhysicalSchemaArgs
- Avro
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema Avro Schema - Schema in Avro JSON format.
- Csv
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema Csv Schema - Marks a CSV-encoded data source.
- Orc
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema Orc Schema - Marks an ORC-encoded data source.
- Parquet
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema Parquet Schema - Marks a Parquet-encoded data source.
- Protobuf
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema Protobuf Schema - Schema in protocol buffer format.
- Thrift
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema Thrift Schema - Schema in Thrift format.
- Avro
Google
Cloud Datacatalog V1Physical Schema Avro Schema - Schema in Avro JSON format.
- Csv
Google
Cloud Datacatalog V1Physical Schema Csv Schema - Marks a CSV-encoded data source.
- Orc
Google
Cloud Datacatalog V1Physical Schema Orc Schema - Marks an ORC-encoded data source.
- Parquet
Google
Cloud Datacatalog V1Physical Schema Parquet Schema - Marks a Parquet-encoded data source.
- Protobuf
Google
Cloud Datacatalog V1Physical Schema Protobuf Schema - Schema in protocol buffer format.
- Thrift
Google
Cloud Datacatalog V1Physical Schema Thrift Schema - Schema in Thrift format.
- avro
Google
Cloud Datacatalog V1Physical Schema Avro Schema - Schema in Avro JSON format.
- csv
Google
Cloud Datacatalog V1Physical Schema Csv Schema - Marks a CSV-encoded data source.
- orc
Google
Cloud Datacatalog V1Physical Schema Orc Schema - Marks an ORC-encoded data source.
- parquet
Google
Cloud Datacatalog V1Physical Schema Parquet Schema - Marks a Parquet-encoded data source.
- protobuf
Google
Cloud Datacatalog V1Physical Schema Protobuf Schema - Schema in protocol buffer format.
- thrift
Google
Cloud Datacatalog V1Physical Schema Thrift Schema - Schema in Thrift format.
- avro
Google
Cloud Datacatalog V1Physical Schema Avro Schema - Schema in Avro JSON format.
- csv
Google
Cloud Datacatalog V1Physical Schema Csv Schema - Marks a CSV-encoded data source.
- orc
Google
Cloud Datacatalog V1Physical Schema Orc Schema - Marks an ORC-encoded data source.
- parquet
Google
Cloud Datacatalog V1Physical Schema Parquet Schema - Marks a Parquet-encoded data source.
- protobuf
Google
Cloud Datacatalog V1Physical Schema Protobuf Schema - Schema in protocol buffer format.
- thrift
Google
Cloud Datacatalog V1Physical Schema Thrift Schema - Schema in Thrift format.
- avro
Google
Cloud Datacatalog V1Physical Schema Avro Schema - Schema in Avro JSON format.
- csv
Google
Cloud Datacatalog V1Physical Schema Csv Schema - Marks a CSV-encoded data source.
- orc
Google
Cloud Datacatalog V1Physical Schema Orc Schema - Marks an ORC-encoded data source.
- parquet
Google
Cloud Datacatalog V1Physical Schema Parquet Schema - Marks a Parquet-encoded data source.
- protobuf
Google
Cloud Datacatalog V1Physical Schema Protobuf Schema - Schema in protocol buffer format.
- thrift
Google
Cloud Datacatalog V1Physical Schema Thrift Schema - Schema in Thrift format.
- avro Property Map
- Schema in Avro JSON format.
- csv Property Map
- Marks a CSV-encoded data source.
- orc Property Map
- Marks an ORC-encoded data source.
- parquet Property Map
- Marks a Parquet-encoded data source.
- protobuf Property Map
- Schema in protocol buffer format.
- thrift Property Map
- Schema in Thrift format.
GoogleCloudDatacatalogV1PhysicalSchemaAvroSchema, GoogleCloudDatacatalogV1PhysicalSchemaAvroSchemaArgs
- Text string
- JSON source of the Avro schema.
- Text string
- JSON source of the Avro schema.
- text String
- JSON source of the Avro schema.
- text string
- JSON source of the Avro schema.
- text str
- JSON source of the Avro schema.
- text String
- JSON source of the Avro schema.
GoogleCloudDatacatalogV1PhysicalSchemaAvroSchemaResponse, GoogleCloudDatacatalogV1PhysicalSchemaAvroSchemaResponseArgs
- Text string
- JSON source of the Avro schema.
- Text string
- JSON source of the Avro schema.
- text String
- JSON source of the Avro schema.
- text string
- JSON source of the Avro schema.
- text str
- JSON source of the Avro schema.
- text String
- JSON source of the Avro schema.
GoogleCloudDatacatalogV1PhysicalSchemaProtobufSchema, GoogleCloudDatacatalogV1PhysicalSchemaProtobufSchemaArgs
- Text string
- Protocol buffer source of the schema.
- Text string
- Protocol buffer source of the schema.
- text String
- Protocol buffer source of the schema.
- text string
- Protocol buffer source of the schema.
- text str
- Protocol buffer source of the schema.
- text String
- Protocol buffer source of the schema.
GoogleCloudDatacatalogV1PhysicalSchemaProtobufSchemaResponse, GoogleCloudDatacatalogV1PhysicalSchemaProtobufSchemaResponseArgs
- Text string
- Protocol buffer source of the schema.
- Text string
- Protocol buffer source of the schema.
- text String
- Protocol buffer source of the schema.
- text string
- Protocol buffer source of the schema.
- text str
- Protocol buffer source of the schema.
- text String
- Protocol buffer source of the schema.
GoogleCloudDatacatalogV1PhysicalSchemaResponse, GoogleCloudDatacatalogV1PhysicalSchemaResponseArgs
- Avro
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema Avro Schema Response - Schema in Avro JSON format.
- Csv
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema Csv Schema Response - Marks a CSV-encoded data source.
- Orc
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema Orc Schema Response - Marks an ORC-encoded data source.
- Parquet
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema Parquet Schema Response - Marks a Parquet-encoded data source.
- Protobuf
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema Protobuf Schema Response - Schema in protocol buffer format.
- Thrift
Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Physical Schema Thrift Schema Response - Schema in Thrift format.
- Avro
Google
Cloud Datacatalog V1Physical Schema Avro Schema Response - Schema in Avro JSON format.
- Csv
Google
Cloud Datacatalog V1Physical Schema Csv Schema Response - Marks a CSV-encoded data source.
- Orc
Google
Cloud Datacatalog V1Physical Schema Orc Schema Response - Marks an ORC-encoded data source.
- Parquet
Google
Cloud Datacatalog V1Physical Schema Parquet Schema Response - Marks a Parquet-encoded data source.
- Protobuf
Google
Cloud Datacatalog V1Physical Schema Protobuf Schema Response - Schema in protocol buffer format.
- Thrift
Google
Cloud Datacatalog V1Physical Schema Thrift Schema Response - Schema in Thrift format.
- avro
Google
Cloud Datacatalog V1Physical Schema Avro Schema Response - Schema in Avro JSON format.
- csv
Google
Cloud Datacatalog V1Physical Schema Csv Schema Response - Marks a CSV-encoded data source.
- orc
Google
Cloud Datacatalog V1Physical Schema Orc Schema Response - Marks an ORC-encoded data source.
- parquet
Google
Cloud Datacatalog V1Physical Schema Parquet Schema Response - Marks a Parquet-encoded data source.
- protobuf
Google
Cloud Datacatalog V1Physical Schema Protobuf Schema Response - Schema in protocol buffer format.
- thrift
Google
Cloud Datacatalog V1Physical Schema Thrift Schema Response - Schema in Thrift format.
- avro
Google
Cloud Datacatalog V1Physical Schema Avro Schema Response - Schema in Avro JSON format.
- csv
Google
Cloud Datacatalog V1Physical Schema Csv Schema Response - Marks a CSV-encoded data source.
- orc
Google
Cloud Datacatalog V1Physical Schema Orc Schema Response - Marks an ORC-encoded data source.
- parquet
Google
Cloud Datacatalog V1Physical Schema Parquet Schema Response - Marks a Parquet-encoded data source.
- protobuf
Google
Cloud Datacatalog V1Physical Schema Protobuf Schema Response - Schema in protocol buffer format.
- thrift
Google
Cloud Datacatalog V1Physical Schema Thrift Schema Response - Schema in Thrift format.
- avro
Google
Cloud Datacatalog V1Physical Schema Avro Schema Response - Schema in Avro JSON format.
- csv
Google
Cloud Datacatalog V1Physical Schema Csv Schema Response - Marks a CSV-encoded data source.
- orc
Google
Cloud Datacatalog V1Physical Schema Orc Schema Response - Marks an ORC-encoded data source.
- parquet
Google
Cloud Datacatalog V1Physical Schema Parquet Schema Response - Marks a Parquet-encoded data source.
- protobuf
Google
Cloud Datacatalog V1Physical Schema Protobuf Schema Response - Schema in protocol buffer format.
- thrift
Google
Cloud Datacatalog V1Physical Schema Thrift Schema Response - Schema in Thrift format.
- avro Property Map
- Schema in Avro JSON format.
- csv Property Map
- Marks a CSV-encoded data source.
- orc Property Map
- Marks an ORC-encoded data source.
- parquet Property Map
- Marks a Parquet-encoded data source.
- protobuf Property Map
- Schema in protocol buffer format.
- thrift Property Map
- Schema in Thrift format.
GoogleCloudDatacatalogV1PhysicalSchemaThriftSchema, GoogleCloudDatacatalogV1PhysicalSchemaThriftSchemaArgs
- Text string
- Thrift IDL source of the schema.
- Text string
- Thrift IDL source of the schema.
- text String
- Thrift IDL source of the schema.
- text string
- Thrift IDL source of the schema.
- text str
- Thrift IDL source of the schema.
- text String
- Thrift IDL source of the schema.
GoogleCloudDatacatalogV1PhysicalSchemaThriftSchemaResponse, GoogleCloudDatacatalogV1PhysicalSchemaThriftSchemaResponseArgs
- Text string
- Thrift IDL source of the schema.
- Text string
- Thrift IDL source of the schema.
- text String
- Thrift IDL source of the schema.
- text string
- Thrift IDL source of the schema.
- text str
- Thrift IDL source of the schema.
- text String
- Thrift IDL source of the schema.
GoogleCloudDatacatalogV1RoutineSpec, GoogleCloudDatacatalogV1RoutineSpecArgs
- Bigquery
Routine Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Big Query Routine Spec - Fields specific for BigQuery routines.
- Definition
Body string - The body of the routine.
- Language string
- The language the routine is written in. The exact value depends on the source system. For BigQuery routines, possible values are: *
SQL
*JAVASCRIPT
- Return
Type string - Return type of the argument. The exact value depends on the source system and the language.
- Routine
Arguments List<Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Routine Spec Argument> - Arguments of the routine.
- Routine
Type Pulumi.Google Native. Data Catalog. V1. Google Cloud Datacatalog V1Routine Spec Routine Type - The type of the routine.
- Bigquery
Routine GoogleSpec Cloud Datacatalog V1Big Query Routine Spec - Fields specific for BigQuery routines.
- Definition
Body string - The body of the routine.
- Language string
- The language the routine is written in. The exact value depends on the source system. For BigQuery routines, possible values are: *
SQL
*JAVASCRIPT
- Return
Type string - Return type of the argument. The exact value depends on the source system and the language.
- Routine
Arguments []GoogleCloud Datacatalog V1Routine Spec Argument - Arguments of the routine.
- Routine
Type GoogleCloud Datacatalog V1Routine Spec Routine Type - The type of the routine.
- bigquery
Routine GoogleSpec Cloud Datacatalog V1Big Query Routine Spec - Fields specific for BigQuery routines.
- definition
Body String - The body of the routine.
- language String
- The language the routine is written in. The exact value depends on the source system. For BigQuery routines, possible values are: *
SQL
*JAVASCRIPT
- return
Type String - Return type of the argument. The exact value depends on the source system and the language.
- routine
Arguments List<GoogleCloud Datacatalog V1Routine Spec Argument> - Arguments of the routine.
- routine
Type GoogleCloud Datacatalog V1Routine Spec Routine Type - The type of the routine.
- bigquery
Routine GoogleSpec Cloud Datacatalog V1Big Query Routine Spec - Fields specific for BigQuery routines.
- definition
Body string - The body of the routine.
- language string
- The language the routine is written in. The exact value depends on the source system. For BigQuery routines, possible values are: *
SQL
*JAVASCRIPT
- return
Type string - Return type of the argument. The exact value depends on the source system and the language.
- routine
Arguments GoogleCloud Datacatalog V1Routine Spec Argument[] - Arguments of the routine.
- routine
Type GoogleCloud Datacatalog V1Routine Spec Routine Type - The type of the routine.
- bigquery_
routine_ Googlespec Cloud Datacatalog V1Big Query Routine Spec - Fields specific for BigQuery routines.
- definition_
body str - The body of the routine.
- language str
- The language the routine is written in. The exact value depends on the source system. For BigQuery routines, possible values are: *
SQL
*JAVASCRIPT
- return_
type str - Return type of the argument. The exact value depends on the source system and the language.
- routine_
arguments Sequence[GoogleCloud Datacatalog V1Routine Spec Argument] - Arguments of the routine.
- routine_
type GoogleCloud Datacatalog V1Routine Spec Routine Type - The type of the routine.
- bigquery
Routine Property MapSpec - Fields specific for BigQuery routines.
- definition
Body String - The body of the routine.
- language String
- The language the routine is written in. The exact value depends on the source system. For BigQuery routines, possible values are: *
SQL
*JAVASCRIPT
- return
Type String - Return type of the argument. The exact value depends on the source system and the language.
- routine
Arguments List<Property Map> - Arguments of the routine.
- routine
Type "ROUTINE_TYPE_UNSPECIFIED" | "SCALAR_FUNCTION" | "PROCEDURE" - The type of the routine.
GoogleCloudDatacatalogV1RoutineSpecArgument, GoogleCloudDatacatalogV1RoutineSpecArgumentArgs
- Mode
Pulumi.
Google Native. Data Catalog. V1. Google Cloud Datacatalog V1Routine Spec Argument Mode - Specifies whether the argument is input or output.
- Name string
- The name of the argument. A return argument of a function might not have a name.
- Type string
- Type of the argument. The exact value depends on the source system and the language.
- Mode
Google
Cloud Datacatalog V1Routine Spec Argument Mode - Specifies whether the argument is input or output.
- Name string
- The name of the argument. A return argument of a function might not have a name.
- Type string
- Type of the argument. The exact value depends on the source system and the language.
- mode
Google
Cloud Datacatalog V1Routine Spec Argument Mode - Specifies whether the argument is input or output.
- name String
- The name of the argument. A return argument of a function might not have a name.
- type String
- Type of the argument. The exact value depends on the source system and the language.
- mode
Google
Cloud Datacatalog V1Routine Spec Argument Mode - Specifies whether the argument is input or output.
- name string
- The name of the argument. A return argument of a function might not have a name.
- type string
- Type of the argument. The exact value depends on the source system and the language.
- mode
Google
Cloud Datacatalog V1Routine Spec Argument Mode - Specifies whether the argument is input or output.
- name str
- The name of the argument. A return argument of a function might not have a name.
- type str
- Type of the argument. The exact value depends on the source system and the language.
- mode "MODE_UNSPECIFIED" | "IN" | "OUT" | "INOUT"
- Specifies whether the argument is input or output.
- name String
- The name of the argument. A return argument of a function might not have a name.
- type String
- Type of the argument. The exact value depends on the source system and the language.
GoogleCloudDatacatalogV1RoutineSpecArgumentMode, GoogleCloudDatacatalogV1RoutineSpecArgumentModeArgs
- Mode
Unspecified - MODE_UNSPECIFIEDUnspecified mode.
- In
- INThe argument is input-only.
- Out
- OUTThe argument is output-only.
- Inout
- INOUTThe argument is both an input and an output.
- Google
Cloud Datacatalog V1Routine Spec Argument Mode Mode Unspecified - MODE_UNSPECIFIEDUnspecified mode.
- Google
Cloud Datacatalog V1Routine Spec Argument Mode In - INThe argument is input-only.
- Google
Cloud Datacatalog V1Routine Spec Argument Mode Out - OUTThe argument is output-only.
- Google
Cloud Datacatalog V1Routine Spec Argument Mode Inout - INOUTThe argument is both an input and an output.
- Mode
Unspecified - MODE_UNSPECIFIEDUnspecified mode.
- In
- INThe argument is input-only.
- Out
- OUTThe argument is output-only.
- Inout
- INOUTThe argument is both an input and an output.
- Mode
Unspecified - MODE_UNSPECIFIEDUnspecified mode.
- In
- INThe argument is input-only.
- Out
- OUTThe argument is output-only.
- Inout
- INOUTThe argument is both an input and an output.
- MODE_UNSPECIFIED
- MODE_UNSPECIFIEDUnspecified mode.
- IN_
- INThe argument is input-only.
- OUT
- OUTThe argument is output-only.
- INOUT
- INOUTThe argument is both an input and an output.
- "MODE_UNSPECIFIED"
- MODE_UNSPECIFIEDUnspecified mode.
- "IN"
- INThe argument is input-only.
- "OUT"
- OUTThe argument is output-only.
- "INOUT"
- INOUTThe argument is both an input and an output.
GoogleCloudDatacatalogV1RoutineSpecArgumentResponse, GoogleCloudDatacatalogV1RoutineSpecArgumentResponseArgs
GoogleCloudDatacatalogV1RoutineSpecResponse, GoogleCloudDatacatalogV1RoutineSpecResponseArgs
- Bigquery
Routine Pulumi.Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Big Query Routine Spec Response - Fields specific for BigQuery routines.
- Definition
Body string - The body of the routine.
- Language string
- The language the routine is written in. The exact value depends on the source system. For BigQuery routines, possible values are: *
SQL
*JAVASCRIPT
- Return
Type string - Return type of the argument. The exact value depends on the source system and the language.
- Routine
Arguments List<Pulumi.Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Routine Spec Argument Response> - Arguments of the routine.
- Routine
Type string - The type of the routine.
- Bigquery
Routine GoogleSpec Cloud Datacatalog V1Big Query Routine Spec Response - Fields specific for BigQuery routines.
- Definition
Body string - The body of the routine.
- Language string
- The language the routine is written in. The exact value depends on the source system. For BigQuery routines, possible values are: *
SQL
*JAVASCRIPT
- Return
Type string - Return type of the argument. The exact value depends on the source system and the language.
- Routine
Arguments []GoogleCloud Datacatalog V1Routine Spec Argument Response - Arguments of the routine.
- Routine
Type string - The type of the routine.
- bigquery
Routine GoogleSpec Cloud Datacatalog V1Big Query Routine Spec Response - Fields specific for BigQuery routines.
- definition
Body String - The body of the routine.
- language String
- The language the routine is written in. The exact value depends on the source system. For BigQuery routines, possible values are: *
SQL
*JAVASCRIPT
- return
Type String - Return type of the argument. The exact value depends on the source system and the language.
- routine
Arguments List<GoogleCloud Datacatalog V1Routine Spec Argument Response> - Arguments of the routine.
- routine
Type String - The type of the routine.
- bigquery
Routine GoogleSpec Cloud Datacatalog V1Big Query Routine Spec Response - Fields specific for BigQuery routines.
- definition
Body string - The body of the routine.
- language string
- The language the routine is written in. The exact value depends on the source system. For BigQuery routines, possible values are: *
SQL
*JAVASCRIPT
- return
Type string - Return type of the argument. The exact value depends on the source system and the language.
- routine
Arguments GoogleCloud Datacatalog V1Routine Spec Argument Response[] - Arguments of the routine.
- routine
Type string - The type of the routine.
- bigquery_
routine_ Googlespec Cloud Datacatalog V1Big Query Routine Spec Response - Fields specific for BigQuery routines.
- definition_
body str - The body of the routine.
- language str
- The language the routine is written in. The exact value depends on the source system. For BigQuery routines, possible values are: *
SQL
*JAVASCRIPT
- return_
type str - Return type of the argument. The exact value depends on the source system and the language.
- routine_
arguments Sequence[GoogleCloud Datacatalog V1Routine Spec Argument Response] - Arguments of the routine.
- routine_
type str - The type of the routine.
- bigquery
Routine Property MapSpec - Fields specific for BigQuery routines.
- definition
Body String - The body of the routine.
- language String
- The language the routine is written in. The exact value depends on the source system. For BigQuery routines, possible values are: *
SQL
*JAVASCRIPT
- return
Type String - Return type of the argument. The exact value depends on the source system and the language.
- routine
Arguments List<Property Map> - Arguments of the routine.
- routine
Type String - The type of the routine.
GoogleCloudDatacatalogV1RoutineSpecRoutineType, GoogleCloudDatacatalogV1RoutineSpecRoutineTypeArgs
- Routine
Type Unspecified - ROUTINE_TYPE_UNSPECIFIEDUnspecified type.
- Scalar
Function - SCALAR_FUNCTIONNon-builtin permanent scalar function.
- Procedure
- PROCEDUREStored procedure.
- Google
Cloud Datacatalog V1Routine Spec Routine Type Routine Type Unspecified - ROUTINE_TYPE_UNSPECIFIEDUnspecified type.
- Google
Cloud Datacatalog V1Routine Spec Routine Type Scalar Function - SCALAR_FUNCTIONNon-builtin permanent scalar function.
- Google
Cloud Datacatalog V1Routine Spec Routine Type Procedure - PROCEDUREStored procedure.
- Routine
Type Unspecified - ROUTINE_TYPE_UNSPECIFIEDUnspecified type.
- Scalar
Function - SCALAR_FUNCTIONNon-builtin permanent scalar function.
- Procedure
- PROCEDUREStored procedure.
- Routine
Type Unspecified - ROUTINE_TYPE_UNSPECIFIEDUnspecified type.
- Scalar
Function - SCALAR_FUNCTIONNon-builtin permanent scalar function.
- Procedure
- PROCEDUREStored procedure.
- ROUTINE_TYPE_UNSPECIFIED
- ROUTINE_TYPE_UNSPECIFIEDUnspecified type.
- SCALAR_FUNCTION
- SCALAR_FUNCTIONNon-builtin permanent scalar function.
- PROCEDURE
- PROCEDUREStored procedure.
- "ROUTINE_TYPE_UNSPECIFIED"
- ROUTINE_TYPE_UNSPECIFIEDUnspecified type.
- "SCALAR_FUNCTION"
- SCALAR_FUNCTIONNon-builtin permanent scalar function.
- "PROCEDURE"
- PROCEDUREStored procedure.
GoogleCloudDatacatalogV1Schema, GoogleCloudDatacatalogV1SchemaArgs
- Columns
List<Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Column Schema> - The unified GoogleSQL-like schema of columns. The overall maximum number of columns and nested columns is 10,000. The maximum nested depth is 15 levels.
- Columns
[]Google
Cloud Datacatalog V1Column Schema - The unified GoogleSQL-like schema of columns. The overall maximum number of columns and nested columns is 10,000. The maximum nested depth is 15 levels.
- columns
List<Google
Cloud Datacatalog V1Column Schema> - The unified GoogleSQL-like schema of columns. The overall maximum number of columns and nested columns is 10,000. The maximum nested depth is 15 levels.
- columns
Google
Cloud Datacatalog V1Column Schema[] - The unified GoogleSQL-like schema of columns. The overall maximum number of columns and nested columns is 10,000. The maximum nested depth is 15 levels.
- columns
Sequence[Google
Cloud Datacatalog V1Column Schema] - The unified GoogleSQL-like schema of columns. The overall maximum number of columns and nested columns is 10,000. The maximum nested depth is 15 levels.
- columns List<Property Map>
- The unified GoogleSQL-like schema of columns. The overall maximum number of columns and nested columns is 10,000. The maximum nested depth is 15 levels.
GoogleCloudDatacatalogV1SchemaResponse, GoogleCloudDatacatalogV1SchemaResponseArgs
- Columns
List<Pulumi.
Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Column Schema Response> - The unified GoogleSQL-like schema of columns. The overall maximum number of columns and nested columns is 10,000. The maximum nested depth is 15 levels.
- Columns
[]Google
Cloud Datacatalog V1Column Schema Response - The unified GoogleSQL-like schema of columns. The overall maximum number of columns and nested columns is 10,000. The maximum nested depth is 15 levels.
- columns
List<Google
Cloud Datacatalog V1Column Schema Response> - The unified GoogleSQL-like schema of columns. The overall maximum number of columns and nested columns is 10,000. The maximum nested depth is 15 levels.
- columns
Google
Cloud Datacatalog V1Column Schema Response[] - The unified GoogleSQL-like schema of columns. The overall maximum number of columns and nested columns is 10,000. The maximum nested depth is 15 levels.
- columns
Sequence[Google
Cloud Datacatalog V1Column Schema Response] - The unified GoogleSQL-like schema of columns. The overall maximum number of columns and nested columns is 10,000. The maximum nested depth is 15 levels.
- columns List<Property Map>
- The unified GoogleSQL-like schema of columns. The overall maximum number of columns and nested columns is 10,000. The maximum nested depth is 15 levels.
GoogleCloudDatacatalogV1ServiceSpec, GoogleCloudDatacatalogV1ServiceSpecArgs
- Cloud
Bigtable Pulumi.Instance Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Cloud Bigtable Instance Spec - Specification that applies to Instance entries of
CLOUD_BIGTABLE
system.
- Cloud
Bigtable GoogleInstance Spec Cloud Datacatalog V1Cloud Bigtable Instance Spec - Specification that applies to Instance entries of
CLOUD_BIGTABLE
system.
- cloud
Bigtable GoogleInstance Spec Cloud Datacatalog V1Cloud Bigtable Instance Spec - Specification that applies to Instance entries of
CLOUD_BIGTABLE
system.
- cloud
Bigtable GoogleInstance Spec Cloud Datacatalog V1Cloud Bigtable Instance Spec - Specification that applies to Instance entries of
CLOUD_BIGTABLE
system.
- cloud_
bigtable_ Googleinstance_ spec Cloud Datacatalog V1Cloud Bigtable Instance Spec - Specification that applies to Instance entries of
CLOUD_BIGTABLE
system.
- cloud
Bigtable Property MapInstance Spec - Specification that applies to Instance entries of
CLOUD_BIGTABLE
system.
GoogleCloudDatacatalogV1ServiceSpecResponse, GoogleCloudDatacatalogV1ServiceSpecResponseArgs
- Cloud
Bigtable Pulumi.Instance Spec Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Cloud Bigtable Instance Spec Response - Specification that applies to Instance entries of
CLOUD_BIGTABLE
system.
- Cloud
Bigtable GoogleInstance Spec Cloud Datacatalog V1Cloud Bigtable Instance Spec Response - Specification that applies to Instance entries of
CLOUD_BIGTABLE
system.
- cloud
Bigtable GoogleInstance Spec Cloud Datacatalog V1Cloud Bigtable Instance Spec Response - Specification that applies to Instance entries of
CLOUD_BIGTABLE
system.
- cloud
Bigtable GoogleInstance Spec Cloud Datacatalog V1Cloud Bigtable Instance Spec Response - Specification that applies to Instance entries of
CLOUD_BIGTABLE
system.
- cloud_
bigtable_ Googleinstance_ spec Cloud Datacatalog V1Cloud Bigtable Instance Spec Response - Specification that applies to Instance entries of
CLOUD_BIGTABLE
system.
- cloud
Bigtable Property MapInstance Spec - Specification that applies to Instance entries of
CLOUD_BIGTABLE
system.
GoogleCloudDatacatalogV1SqlDatabaseSystemSpec, GoogleCloudDatacatalogV1SqlDatabaseSystemSpecArgs
- Database
Version string - Version of the database engine.
- Instance
Host string - Host of the SQL database enum InstanceHost { UNDEFINED = 0; SELF_HOSTED = 1; CLOUD_SQL = 2; AMAZON_RDS = 3; AZURE_SQL = 4; } Host of the enclousing database instance.
- Sql
Engine string - SQL Database Engine. enum SqlEngine { UNDEFINED = 0; MY_SQL = 1; POSTGRE_SQL = 2; SQL_SERVER = 3; } Engine of the enclosing database instance.
- Database
Version string - Version of the database engine.
- Instance
Host string - Host of the SQL database enum InstanceHost { UNDEFINED = 0; SELF_HOSTED = 1; CLOUD_SQL = 2; AMAZON_RDS = 3; AZURE_SQL = 4; } Host of the enclousing database instance.
- Sql
Engine string - SQL Database Engine. enum SqlEngine { UNDEFINED = 0; MY_SQL = 1; POSTGRE_SQL = 2; SQL_SERVER = 3; } Engine of the enclosing database instance.
- database
Version String - Version of the database engine.
- instance
Host String - Host of the SQL database enum InstanceHost { UNDEFINED = 0; SELF_HOSTED = 1; CLOUD_SQL = 2; AMAZON_RDS = 3; AZURE_SQL = 4; } Host of the enclousing database instance.
- sql
Engine String - SQL Database Engine. enum SqlEngine { UNDEFINED = 0; MY_SQL = 1; POSTGRE_SQL = 2; SQL_SERVER = 3; } Engine of the enclosing database instance.
- database
Version string - Version of the database engine.
- instance
Host string - Host of the SQL database enum InstanceHost { UNDEFINED = 0; SELF_HOSTED = 1; CLOUD_SQL = 2; AMAZON_RDS = 3; AZURE_SQL = 4; } Host of the enclousing database instance.
- sql
Engine string - SQL Database Engine. enum SqlEngine { UNDEFINED = 0; MY_SQL = 1; POSTGRE_SQL = 2; SQL_SERVER = 3; } Engine of the enclosing database instance.
- database_
version str - Version of the database engine.
- instance_
host str - Host of the SQL database enum InstanceHost { UNDEFINED = 0; SELF_HOSTED = 1; CLOUD_SQL = 2; AMAZON_RDS = 3; AZURE_SQL = 4; } Host of the enclousing database instance.
- sql_
engine str - SQL Database Engine. enum SqlEngine { UNDEFINED = 0; MY_SQL = 1; POSTGRE_SQL = 2; SQL_SERVER = 3; } Engine of the enclosing database instance.
- database
Version String - Version of the database engine.
- instance
Host String - Host of the SQL database enum InstanceHost { UNDEFINED = 0; SELF_HOSTED = 1; CLOUD_SQL = 2; AMAZON_RDS = 3; AZURE_SQL = 4; } Host of the enclousing database instance.
- sql
Engine String - SQL Database Engine. enum SqlEngine { UNDEFINED = 0; MY_SQL = 1; POSTGRE_SQL = 2; SQL_SERVER = 3; } Engine of the enclosing database instance.
GoogleCloudDatacatalogV1SqlDatabaseSystemSpecResponse, GoogleCloudDatacatalogV1SqlDatabaseSystemSpecResponseArgs
- Database
Version string - Version of the database engine.
- Instance
Host string - Host of the SQL database enum InstanceHost { UNDEFINED = 0; SELF_HOSTED = 1; CLOUD_SQL = 2; AMAZON_RDS = 3; AZURE_SQL = 4; } Host of the enclousing database instance.
- Sql
Engine string - SQL Database Engine. enum SqlEngine { UNDEFINED = 0; MY_SQL = 1; POSTGRE_SQL = 2; SQL_SERVER = 3; } Engine of the enclosing database instance.
- Database
Version string - Version of the database engine.
- Instance
Host string - Host of the SQL database enum InstanceHost { UNDEFINED = 0; SELF_HOSTED = 1; CLOUD_SQL = 2; AMAZON_RDS = 3; AZURE_SQL = 4; } Host of the enclousing database instance.
- Sql
Engine string - SQL Database Engine. enum SqlEngine { UNDEFINED = 0; MY_SQL = 1; POSTGRE_SQL = 2; SQL_SERVER = 3; } Engine of the enclosing database instance.
- database
Version String - Version of the database engine.
- instance
Host String - Host of the SQL database enum InstanceHost { UNDEFINED = 0; SELF_HOSTED = 1; CLOUD_SQL = 2; AMAZON_RDS = 3; AZURE_SQL = 4; } Host of the enclousing database instance.
- sql
Engine String - SQL Database Engine. enum SqlEngine { UNDEFINED = 0; MY_SQL = 1; POSTGRE_SQL = 2; SQL_SERVER = 3; } Engine of the enclosing database instance.
- database
Version string - Version of the database engine.
- instance
Host string - Host of the SQL database enum InstanceHost { UNDEFINED = 0; SELF_HOSTED = 1; CLOUD_SQL = 2; AMAZON_RDS = 3; AZURE_SQL = 4; } Host of the enclousing database instance.
- sql
Engine string - SQL Database Engine. enum SqlEngine { UNDEFINED = 0; MY_SQL = 1; POSTGRE_SQL = 2; SQL_SERVER = 3; } Engine of the enclosing database instance.
- database_
version str - Version of the database engine.
- instance_
host str - Host of the SQL database enum InstanceHost { UNDEFINED = 0; SELF_HOSTED = 1; CLOUD_SQL = 2; AMAZON_RDS = 3; AZURE_SQL = 4; } Host of the enclousing database instance.
- sql_
engine str - SQL Database Engine. enum SqlEngine { UNDEFINED = 0; MY_SQL = 1; POSTGRE_SQL = 2; SQL_SERVER = 3; } Engine of the enclosing database instance.
- database
Version String - Version of the database engine.
- instance
Host String - Host of the SQL database enum InstanceHost { UNDEFINED = 0; SELF_HOSTED = 1; CLOUD_SQL = 2; AMAZON_RDS = 3; AZURE_SQL = 4; } Host of the enclousing database instance.
- sql
Engine String - SQL Database Engine. enum SqlEngine { UNDEFINED = 0; MY_SQL = 1; POSTGRE_SQL = 2; SQL_SERVER = 3; } Engine of the enclosing database instance.
GoogleCloudDatacatalogV1StoragePropertiesResponse, GoogleCloudDatacatalogV1StoragePropertiesResponseArgs
- File
Pattern List<string> - Patterns to identify a set of files for this fileset. Examples of a valid
file_pattern
: *gs://bucket_name/dir/*
: matches all files in thebucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files in thebucket_name/dir
and all subdirectories recursively *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
- File
Type string - File type in MIME format, for example,
text/plain
.
- File
Pattern []string - Patterns to identify a set of files for this fileset. Examples of a valid
file_pattern
: *gs://bucket_name/dir/*
: matches all files in thebucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files in thebucket_name/dir
and all subdirectories recursively *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
- File
Type string - File type in MIME format, for example,
text/plain
.
- file
Pattern List<String> - Patterns to identify a set of files for this fileset. Examples of a valid
file_pattern
: *gs://bucket_name/dir/*
: matches all files in thebucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files in thebucket_name/dir
and all subdirectories recursively *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
- file
Type String - File type in MIME format, for example,
text/plain
.
- file
Pattern string[] - Patterns to identify a set of files for this fileset. Examples of a valid
file_pattern
: *gs://bucket_name/dir/*
: matches all files in thebucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files in thebucket_name/dir
and all subdirectories recursively *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
- file
Type string - File type in MIME format, for example,
text/plain
.
- file_
pattern Sequence[str] - Patterns to identify a set of files for this fileset. Examples of a valid
file_pattern
: *gs://bucket_name/dir/*
: matches all files in thebucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files in thebucket_name/dir
and all subdirectories recursively *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
- file_
type str - File type in MIME format, for example,
text/plain
.
- file
Pattern List<String> - Patterns to identify a set of files for this fileset. Examples of a valid
file_pattern
: *gs://bucket_name/dir/*
: matches all files in thebucket_name/dir
directory *gs://bucket_name/dir/**
: matches all files in thebucket_name/dir
and all subdirectories recursively *gs://bucket_name/file*
: matches files prefixed byfile
inbucket_name
*gs://bucket_name/??.txt
: matches files with two characters followed by.txt
inbucket_name
*gs://bucket_name/[aeiou].txt
: matches files that contain a single vowel character followed by.txt
inbucket_name
*gs://bucket_name/[a-m].txt
: matches files that containa
,b
, ... orm
followed by.txt
inbucket_name
*gs://bucket_name/a/*/b
: matches all files inbucket_name
that match thea/*/b
pattern, such asa/c/b
,a/d/b
*gs://another_bucket/a.txt
: matchesgs://another_bucket/a.txt
- file
Type String - File type in MIME format, for example,
text/plain
.
GoogleCloudDatacatalogV1SystemTimestamps, GoogleCloudDatacatalogV1SystemTimestampsArgs
- Create
Time string - Creation timestamp of the resource within the given system.
- Update
Time string - Timestamp of the last modification of the resource or its metadata within a given system. Note: Depending on the source system, not every modification updates this timestamp. For example, BigQuery timestamps every metadata modification but not data or permission changes.
- Create
Time string - Creation timestamp of the resource within the given system.
- Update
Time string - Timestamp of the last modification of the resource or its metadata within a given system. Note: Depending on the source system, not every modification updates this timestamp. For example, BigQuery timestamps every metadata modification but not data or permission changes.
- create
Time String - Creation timestamp of the resource within the given system.
- update
Time String - Timestamp of the last modification of the resource or its metadata within a given system. Note: Depending on the source system, not every modification updates this timestamp. For example, BigQuery timestamps every metadata modification but not data or permission changes.
- create
Time string - Creation timestamp of the resource within the given system.
- update
Time string - Timestamp of the last modification of the resource or its metadata within a given system. Note: Depending on the source system, not every modification updates this timestamp. For example, BigQuery timestamps every metadata modification but not data or permission changes.
- create_
time str - Creation timestamp of the resource within the given system.
- update_
time str - Timestamp of the last modification of the resource or its metadata within a given system. Note: Depending on the source system, not every modification updates this timestamp. For example, BigQuery timestamps every metadata modification but not data or permission changes.
- create
Time String - Creation timestamp of the resource within the given system.
- update
Time String - Timestamp of the last modification of the resource or its metadata within a given system. Note: Depending on the source system, not every modification updates this timestamp. For example, BigQuery timestamps every metadata modification but not data or permission changes.
GoogleCloudDatacatalogV1SystemTimestampsResponse, GoogleCloudDatacatalogV1SystemTimestampsResponseArgs
- Create
Time string - Creation timestamp of the resource within the given system.
- Expire
Time string - Expiration timestamp of the resource within the given system. Currently only applicable to BigQuery resources.
- Update
Time string - Timestamp of the last modification of the resource or its metadata within a given system. Note: Depending on the source system, not every modification updates this timestamp. For example, BigQuery timestamps every metadata modification but not data or permission changes.
- Create
Time string - Creation timestamp of the resource within the given system.
- Expire
Time string - Expiration timestamp of the resource within the given system. Currently only applicable to BigQuery resources.
- Update
Time string - Timestamp of the last modification of the resource or its metadata within a given system. Note: Depending on the source system, not every modification updates this timestamp. For example, BigQuery timestamps every metadata modification but not data or permission changes.
- create
Time String - Creation timestamp of the resource within the given system.
- expire
Time String - Expiration timestamp of the resource within the given system. Currently only applicable to BigQuery resources.
- update
Time String - Timestamp of the last modification of the resource or its metadata within a given system. Note: Depending on the source system, not every modification updates this timestamp. For example, BigQuery timestamps every metadata modification but not data or permission changes.
- create
Time string - Creation timestamp of the resource within the given system.
- expire
Time string - Expiration timestamp of the resource within the given system. Currently only applicable to BigQuery resources.
- update
Time string - Timestamp of the last modification of the resource or its metadata within a given system. Note: Depending on the source system, not every modification updates this timestamp. For example, BigQuery timestamps every metadata modification but not data or permission changes.
- create_
time str - Creation timestamp of the resource within the given system.
- expire_
time str - Expiration timestamp of the resource within the given system. Currently only applicable to BigQuery resources.
- update_
time str - Timestamp of the last modification of the resource or its metadata within a given system. Note: Depending on the source system, not every modification updates this timestamp. For example, BigQuery timestamps every metadata modification but not data or permission changes.
- create
Time String - Creation timestamp of the resource within the given system.
- expire
Time String - Expiration timestamp of the resource within the given system. Currently only applicable to BigQuery resources.
- update
Time String - Timestamp of the last modification of the resource or its metadata within a given system. Note: Depending on the source system, not every modification updates this timestamp. For example, BigQuery timestamps every metadata modification but not data or permission changes.
GoogleCloudDatacatalogV1TableSpecResponse, GoogleCloudDatacatalogV1TableSpecResponseArgs
- Grouped
Entry string - If the table is date-sharded, that is, it matches the
[prefix]YYYYMMDD
name pattern, this field is the Data Catalog resource name of the date-sharded grouped entry. For example:projects/{PROJECT_ID}/locations/{LOCATION}/entrygroups/{ENTRY_GROUP_ID}/entries/{ENTRY_ID}
. Otherwise,grouped_entry
is empty.
- Grouped
Entry string - If the table is date-sharded, that is, it matches the
[prefix]YYYYMMDD
name pattern, this field is the Data Catalog resource name of the date-sharded grouped entry. For example:projects/{PROJECT_ID}/locations/{LOCATION}/entrygroups/{ENTRY_GROUP_ID}/entries/{ENTRY_ID}
. Otherwise,grouped_entry
is empty.
- grouped
Entry String - If the table is date-sharded, that is, it matches the
[prefix]YYYYMMDD
name pattern, this field is the Data Catalog resource name of the date-sharded grouped entry. For example:projects/{PROJECT_ID}/locations/{LOCATION}/entrygroups/{ENTRY_GROUP_ID}/entries/{ENTRY_ID}
. Otherwise,grouped_entry
is empty.
- grouped
Entry string - If the table is date-sharded, that is, it matches the
[prefix]YYYYMMDD
name pattern, this field is the Data Catalog resource name of the date-sharded grouped entry. For example:projects/{PROJECT_ID}/locations/{LOCATION}/entrygroups/{ENTRY_GROUP_ID}/entries/{ENTRY_ID}
. Otherwise,grouped_entry
is empty.
- grouped_
entry str - If the table is date-sharded, that is, it matches the
[prefix]YYYYMMDD
name pattern, this field is the Data Catalog resource name of the date-sharded grouped entry. For example:projects/{PROJECT_ID}/locations/{LOCATION}/entrygroups/{ENTRY_GROUP_ID}/entries/{ENTRY_ID}
. Otherwise,grouped_entry
is empty.
- grouped
Entry String - If the table is date-sharded, that is, it matches the
[prefix]YYYYMMDD
name pattern, this field is the Data Catalog resource name of the date-sharded grouped entry. For example:projects/{PROJECT_ID}/locations/{LOCATION}/entrygroups/{ENTRY_GROUP_ID}/entries/{ENTRY_ID}
. Otherwise,grouped_entry
is empty.
GoogleCloudDatacatalogV1UsageSignal, GoogleCloudDatacatalogV1UsageSignalArgs
- Common
Usage Dictionary<string, string>Within Time Range - Common usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D", "Lifetime"}
. - Favorite
Count string - Favorite count in the source system.
- Update
Time string - The end timestamp of the duration of usage statistics.
- Common
Usage map[string]stringWithin Time Range - Common usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D", "Lifetime"}
. - Favorite
Count string - Favorite count in the source system.
- Update
Time string - The end timestamp of the duration of usage statistics.
- common
Usage Map<String,String>Within Time Range - Common usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D", "Lifetime"}
. - favorite
Count String - Favorite count in the source system.
- update
Time String - The end timestamp of the duration of usage statistics.
- common
Usage {[key: string]: string}Within Time Range - Common usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D", "Lifetime"}
. - favorite
Count string - Favorite count in the source system.
- update
Time string - The end timestamp of the duration of usage statistics.
- common_
usage_ Mapping[str, str]within_ time_ range - Common usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D", "Lifetime"}
. - favorite_
count str - Favorite count in the source system.
- update_
time str - The end timestamp of the duration of usage statistics.
- common
Usage Map<String>Within Time Range - Common usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D", "Lifetime"}
. - favorite
Count String - Favorite count in the source system.
- update
Time String - The end timestamp of the duration of usage statistics.
GoogleCloudDatacatalogV1UsageSignalResponse, GoogleCloudDatacatalogV1UsageSignalResponseArgs
- Common
Usage Dictionary<string, string>Within Time Range - Common usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D", "Lifetime"}
. - Favorite
Count string - Favorite count in the source system.
- Update
Time string - The end timestamp of the duration of usage statistics.
- Usage
Within Dictionary<string, string>Time Range - BigQuery usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D"}
.
- Common
Usage map[string]stringWithin Time Range - Common usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D", "Lifetime"}
. - Favorite
Count string - Favorite count in the source system.
- Update
Time string - The end timestamp of the duration of usage statistics.
- Usage
Within map[string]stringTime Range - BigQuery usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D"}
.
- common
Usage Map<String,String>Within Time Range - Common usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D", "Lifetime"}
. - favorite
Count String - Favorite count in the source system.
- update
Time String - The end timestamp of the duration of usage statistics.
- usage
Within Map<String,String>Time Range - BigQuery usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D"}
.
- common
Usage {[key: string]: string}Within Time Range - Common usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D", "Lifetime"}
. - favorite
Count string - Favorite count in the source system.
- update
Time string - The end timestamp of the duration of usage statistics.
- usage
Within {[key: string]: string}Time Range - BigQuery usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D"}
.
- common_
usage_ Mapping[str, str]within_ time_ range - Common usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D", "Lifetime"}
. - favorite_
count str - Favorite count in the source system.
- update_
time str - The end timestamp of the duration of usage statistics.
- usage_
within_ Mapping[str, str]time_ range - BigQuery usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D"}
.
- common
Usage Map<String>Within Time Range - Common usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D", "Lifetime"}
. - favorite
Count String - Favorite count in the source system.
- update
Time String - The end timestamp of the duration of usage statistics.
- usage
Within Map<String>Time Range - BigQuery usage statistics over each of the predefined time ranges. Supported time ranges are
{"24H", "7D", "30D"}
.
GoogleCloudDatacatalogV1VertexDatasetSpec, GoogleCloudDatacatalogV1VertexDatasetSpecArgs
- Data
Item stringCount - The number of DataItems in this Dataset. Only apply for non-structured Dataset.
- Data
Type Pulumi.Google Native. Data Catalog. V1. Google Cloud Datacatalog V1Vertex Dataset Spec Data Type - Type of the dataset.
- Data
Item stringCount - The number of DataItems in this Dataset. Only apply for non-structured Dataset.
- Data
Type GoogleCloud Datacatalog V1Vertex Dataset Spec Data Type - Type of the dataset.
- data
Item StringCount - The number of DataItems in this Dataset. Only apply for non-structured Dataset.
- data
Type GoogleCloud Datacatalog V1Vertex Dataset Spec Data Type - Type of the dataset.
- data
Item stringCount - The number of DataItems in this Dataset. Only apply for non-structured Dataset.
- data
Type GoogleCloud Datacatalog V1Vertex Dataset Spec Data Type - Type of the dataset.
- data_
item_ strcount - The number of DataItems in this Dataset. Only apply for non-structured Dataset.
- data_
type GoogleCloud Datacatalog V1Vertex Dataset Spec Data Type - Type of the dataset.
- data
Item StringCount - The number of DataItems in this Dataset. Only apply for non-structured Dataset.
- data
Type "DATA_TYPE_UNSPECIFIED" | "TABLE" | "IMAGE" | "TEXT" | "VIDEO" | "CONVERSATION" | "TIME_SERIES" | "DOCUMENT" | "TEXT_TO_SPEECH" | "TRANSLATION" | "STORE_VISION" | "ENTERPRISE_KNOWLEDGE_GRAPH" | "TEXT_PROMPT" - Type of the dataset.
GoogleCloudDatacatalogV1VertexDatasetSpecDataType, GoogleCloudDatacatalogV1VertexDatasetSpecDataTypeArgs
- Data
Type Unspecified - DATA_TYPE_UNSPECIFIEDShould not be used.
- Table
- TABLEStructured data dataset.
- Image
- IMAGEImage dataset which supports ImageClassification, ImageObjectDetection and ImageSegmentation problems.
- Text
- TEXTDocument dataset which supports TextClassification, TextExtraction and TextSentiment problems.
- Video
- VIDEOVideo dataset which supports VideoClassification, VideoObjectTracking and VideoActionRecognition problems.
- Conversation
- CONVERSATIONConversation dataset which supports conversation problems.
- Time
Series - TIME_SERIESTimeSeries dataset.
- Document
- DOCUMENTDocument dataset which supports DocumentAnnotation problems.
- Text
To Speech - TEXT_TO_SPEECHTextToSpeech dataset which supports TextToSpeech problems.
- Translation
- TRANSLATIONTranslation dataset which supports Translation problems.
- Store
Vision - STORE_VISIONStore Vision dataset which is used for HITL integration.
- Enterprise
Knowledge Graph - ENTERPRISE_KNOWLEDGE_GRAPHEnterprise Knowledge Graph dataset which is used for HITL labeling integration.
- Text
Prompt - TEXT_PROMPTText prompt dataset which supports Large Language Models.
- Google
Cloud Datacatalog V1Vertex Dataset Spec Data Type Data Type Unspecified - DATA_TYPE_UNSPECIFIEDShould not be used.
- Google
Cloud Datacatalog V1Vertex Dataset Spec Data Type Table - TABLEStructured data dataset.
- Google
Cloud Datacatalog V1Vertex Dataset Spec Data Type Image - IMAGEImage dataset which supports ImageClassification, ImageObjectDetection and ImageSegmentation problems.
- Google
Cloud Datacatalog V1Vertex Dataset Spec Data Type Text - TEXTDocument dataset which supports TextClassification, TextExtraction and TextSentiment problems.
- Google
Cloud Datacatalog V1Vertex Dataset Spec Data Type Video - VIDEOVideo dataset which supports VideoClassification, VideoObjectTracking and VideoActionRecognition problems.
- Google
Cloud Datacatalog V1Vertex Dataset Spec Data Type Conversation - CONVERSATIONConversation dataset which supports conversation problems.
- Google
Cloud Datacatalog V1Vertex Dataset Spec Data Type Time Series - TIME_SERIESTimeSeries dataset.
- Google
Cloud Datacatalog V1Vertex Dataset Spec Data Type Document - DOCUMENTDocument dataset which supports DocumentAnnotation problems.
- Google
Cloud Datacatalog V1Vertex Dataset Spec Data Type Text To Speech - TEXT_TO_SPEECHTextToSpeech dataset which supports TextToSpeech problems.
- Google
Cloud Datacatalog V1Vertex Dataset Spec Data Type Translation - TRANSLATIONTranslation dataset which supports Translation problems.
- Google
Cloud Datacatalog V1Vertex Dataset Spec Data Type Store Vision - STORE_VISIONStore Vision dataset which is used for HITL integration.
- Google
Cloud Datacatalog V1Vertex Dataset Spec Data Type Enterprise Knowledge Graph - ENTERPRISE_KNOWLEDGE_GRAPHEnterprise Knowledge Graph dataset which is used for HITL labeling integration.
- Google
Cloud Datacatalog V1Vertex Dataset Spec Data Type Text Prompt - TEXT_PROMPTText prompt dataset which supports Large Language Models.
- Data
Type Unspecified - DATA_TYPE_UNSPECIFIEDShould not be used.
- Table
- TABLEStructured data dataset.
- Image
- IMAGEImage dataset which supports ImageClassification, ImageObjectDetection and ImageSegmentation problems.
- Text
- TEXTDocument dataset which supports TextClassification, TextExtraction and TextSentiment problems.
- Video
- VIDEOVideo dataset which supports VideoClassification, VideoObjectTracking and VideoActionRecognition problems.
- Conversation
- CONVERSATIONConversation dataset which supports conversation problems.
- Time
Series - TIME_SERIESTimeSeries dataset.
- Document
- DOCUMENTDocument dataset which supports DocumentAnnotation problems.
- Text
To Speech - TEXT_TO_SPEECHTextToSpeech dataset which supports TextToSpeech problems.
- Translation
- TRANSLATIONTranslation dataset which supports Translation problems.
- Store
Vision - STORE_VISIONStore Vision dataset which is used for HITL integration.
- Enterprise
Knowledge Graph - ENTERPRISE_KNOWLEDGE_GRAPHEnterprise Knowledge Graph dataset which is used for HITL labeling integration.
- Text
Prompt - TEXT_PROMPTText prompt dataset which supports Large Language Models.
- Data
Type Unspecified - DATA_TYPE_UNSPECIFIEDShould not be used.
- Table
- TABLEStructured data dataset.
- Image
- IMAGEImage dataset which supports ImageClassification, ImageObjectDetection and ImageSegmentation problems.
- Text
- TEXTDocument dataset which supports TextClassification, TextExtraction and TextSentiment problems.
- Video
- VIDEOVideo dataset which supports VideoClassification, VideoObjectTracking and VideoActionRecognition problems.
- Conversation
- CONVERSATIONConversation dataset which supports conversation problems.
- Time
Series - TIME_SERIESTimeSeries dataset.
- Document
- DOCUMENTDocument dataset which supports DocumentAnnotation problems.
- Text
To Speech - TEXT_TO_SPEECHTextToSpeech dataset which supports TextToSpeech problems.
- Translation
- TRANSLATIONTranslation dataset which supports Translation problems.
- Store
Vision - STORE_VISIONStore Vision dataset which is used for HITL integration.
- Enterprise
Knowledge Graph - ENTERPRISE_KNOWLEDGE_GRAPHEnterprise Knowledge Graph dataset which is used for HITL labeling integration.
- Text
Prompt - TEXT_PROMPTText prompt dataset which supports Large Language Models.
- DATA_TYPE_UNSPECIFIED
- DATA_TYPE_UNSPECIFIEDShould not be used.
- TABLE
- TABLEStructured data dataset.
- IMAGE
- IMAGEImage dataset which supports ImageClassification, ImageObjectDetection and ImageSegmentation problems.
- TEXT
- TEXTDocument dataset which supports TextClassification, TextExtraction and TextSentiment problems.
- VIDEO
- VIDEOVideo dataset which supports VideoClassification, VideoObjectTracking and VideoActionRecognition problems.
- CONVERSATION
- CONVERSATIONConversation dataset which supports conversation problems.
- TIME_SERIES
- TIME_SERIESTimeSeries dataset.
- DOCUMENT
- DOCUMENTDocument dataset which supports DocumentAnnotation problems.
- TEXT_TO_SPEECH
- TEXT_TO_SPEECHTextToSpeech dataset which supports TextToSpeech problems.
- TRANSLATION
- TRANSLATIONTranslation dataset which supports Translation problems.
- STORE_VISION
- STORE_VISIONStore Vision dataset which is used for HITL integration.
- ENTERPRISE_KNOWLEDGE_GRAPH
- ENTERPRISE_KNOWLEDGE_GRAPHEnterprise Knowledge Graph dataset which is used for HITL labeling integration.
- TEXT_PROMPT
- TEXT_PROMPTText prompt dataset which supports Large Language Models.
- "DATA_TYPE_UNSPECIFIED"
- DATA_TYPE_UNSPECIFIEDShould not be used.
- "TABLE"
- TABLEStructured data dataset.
- "IMAGE"
- IMAGEImage dataset which supports ImageClassification, ImageObjectDetection and ImageSegmentation problems.
- "TEXT"
- TEXTDocument dataset which supports TextClassification, TextExtraction and TextSentiment problems.
- "VIDEO"
- VIDEOVideo dataset which supports VideoClassification, VideoObjectTracking and VideoActionRecognition problems.
- "CONVERSATION"
- CONVERSATIONConversation dataset which supports conversation problems.
- "TIME_SERIES"
- TIME_SERIESTimeSeries dataset.
- "DOCUMENT"
- DOCUMENTDocument dataset which supports DocumentAnnotation problems.
- "TEXT_TO_SPEECH"
- TEXT_TO_SPEECHTextToSpeech dataset which supports TextToSpeech problems.
- "TRANSLATION"
- TRANSLATIONTranslation dataset which supports Translation problems.
- "STORE_VISION"
- STORE_VISIONStore Vision dataset which is used for HITL integration.
- "ENTERPRISE_KNOWLEDGE_GRAPH"
- ENTERPRISE_KNOWLEDGE_GRAPHEnterprise Knowledge Graph dataset which is used for HITL labeling integration.
- "TEXT_PROMPT"
- TEXT_PROMPTText prompt dataset which supports Large Language Models.
GoogleCloudDatacatalogV1VertexDatasetSpecResponse, GoogleCloudDatacatalogV1VertexDatasetSpecResponseArgs
- Data
Item stringCount - The number of DataItems in this Dataset. Only apply for non-structured Dataset.
- Data
Type string - Type of the dataset.
- Data
Item stringCount - The number of DataItems in this Dataset. Only apply for non-structured Dataset.
- Data
Type string - Type of the dataset.
- data
Item StringCount - The number of DataItems in this Dataset. Only apply for non-structured Dataset.
- data
Type String - Type of the dataset.
- data
Item stringCount - The number of DataItems in this Dataset. Only apply for non-structured Dataset.
- data
Type string - Type of the dataset.
- data_
item_ strcount - The number of DataItems in this Dataset. Only apply for non-structured Dataset.
- data_
type str - Type of the dataset.
- data
Item StringCount - The number of DataItems in this Dataset. Only apply for non-structured Dataset.
- data
Type String - Type of the dataset.
GoogleCloudDatacatalogV1VertexModelSourceInfo, GoogleCloudDatacatalogV1VertexModelSourceInfoArgs
- Copy bool
- If this Model is copy of another Model. If true then source_type pertains to the original.
- Source
Type Pulumi.Google Native. Data Catalog. V1. Google Cloud Datacatalog V1Vertex Model Source Info Source Type - Type of the model source.
- Copy bool
- If this Model is copy of another Model. If true then source_type pertains to the original.
- Source
Type GoogleCloud Datacatalog V1Vertex Model Source Info Source Type - Type of the model source.
- copy Boolean
- If this Model is copy of another Model. If true then source_type pertains to the original.
- source
Type GoogleCloud Datacatalog V1Vertex Model Source Info Source Type - Type of the model source.
- copy boolean
- If this Model is copy of another Model. If true then source_type pertains to the original.
- source
Type GoogleCloud Datacatalog V1Vertex Model Source Info Source Type - Type of the model source.
- copy bool
- If this Model is copy of another Model. If true then source_type pertains to the original.
- source_
type GoogleCloud Datacatalog V1Vertex Model Source Info Source Type - Type of the model source.
- copy Boolean
- If this Model is copy of another Model. If true then source_type pertains to the original.
- source
Type "MODEL_SOURCE_TYPE_UNSPECIFIED" | "AUTOML" | "CUSTOM" | "BQML" | "MODEL_GARDEN" - Type of the model source.
GoogleCloudDatacatalogV1VertexModelSourceInfoResponse, GoogleCloudDatacatalogV1VertexModelSourceInfoResponseArgs
- Copy bool
- If this Model is copy of another Model. If true then source_type pertains to the original.
- Source
Type string - Type of the model source.
- Copy bool
- If this Model is copy of another Model. If true then source_type pertains to the original.
- Source
Type string - Type of the model source.
- copy Boolean
- If this Model is copy of another Model. If true then source_type pertains to the original.
- source
Type String - Type of the model source.
- copy boolean
- If this Model is copy of another Model. If true then source_type pertains to the original.
- source
Type string - Type of the model source.
- copy bool
- If this Model is copy of another Model. If true then source_type pertains to the original.
- source_
type str - Type of the model source.
- copy Boolean
- If this Model is copy of another Model. If true then source_type pertains to the original.
- source
Type String - Type of the model source.
GoogleCloudDatacatalogV1VertexModelSourceInfoSourceType, GoogleCloudDatacatalogV1VertexModelSourceInfoSourceTypeArgs
- Model
Source Type Unspecified - MODEL_SOURCE_TYPE_UNSPECIFIEDShould not be used.
- Automl
- AUTOMLThe Model is uploaded by automl training pipeline.
- Custom
- CUSTOMThe Model is uploaded by user or custom training pipeline.
- Bqml
- BQMLThe Model is registered and sync'ed from BigQuery ML.
- Model
Garden - MODEL_GARDENThe Model is saved or tuned from Model Garden.
- Google
Cloud Datacatalog V1Vertex Model Source Info Source Type Model Source Type Unspecified - MODEL_SOURCE_TYPE_UNSPECIFIEDShould not be used.
- Google
Cloud Datacatalog V1Vertex Model Source Info Source Type Automl - AUTOMLThe Model is uploaded by automl training pipeline.
- Google
Cloud Datacatalog V1Vertex Model Source Info Source Type Custom - CUSTOMThe Model is uploaded by user or custom training pipeline.
- Google
Cloud Datacatalog V1Vertex Model Source Info Source Type Bqml - BQMLThe Model is registered and sync'ed from BigQuery ML.
- Google
Cloud Datacatalog V1Vertex Model Source Info Source Type Model Garden - MODEL_GARDENThe Model is saved or tuned from Model Garden.
- Model
Source Type Unspecified - MODEL_SOURCE_TYPE_UNSPECIFIEDShould not be used.
- Automl
- AUTOMLThe Model is uploaded by automl training pipeline.
- Custom
- CUSTOMThe Model is uploaded by user or custom training pipeline.
- Bqml
- BQMLThe Model is registered and sync'ed from BigQuery ML.
- Model
Garden - MODEL_GARDENThe Model is saved or tuned from Model Garden.
- Model
Source Type Unspecified - MODEL_SOURCE_TYPE_UNSPECIFIEDShould not be used.
- Automl
- AUTOMLThe Model is uploaded by automl training pipeline.
- Custom
- CUSTOMThe Model is uploaded by user or custom training pipeline.
- Bqml
- BQMLThe Model is registered and sync'ed from BigQuery ML.
- Model
Garden - MODEL_GARDENThe Model is saved or tuned from Model Garden.
- MODEL_SOURCE_TYPE_UNSPECIFIED
- MODEL_SOURCE_TYPE_UNSPECIFIEDShould not be used.
- AUTOML
- AUTOMLThe Model is uploaded by automl training pipeline.
- CUSTOM
- CUSTOMThe Model is uploaded by user or custom training pipeline.
- BQML
- BQMLThe Model is registered and sync'ed from BigQuery ML.
- MODEL_GARDEN
- MODEL_GARDENThe Model is saved or tuned from Model Garden.
- "MODEL_SOURCE_TYPE_UNSPECIFIED"
- MODEL_SOURCE_TYPE_UNSPECIFIEDShould not be used.
- "AUTOML"
- AUTOMLThe Model is uploaded by automl training pipeline.
- "CUSTOM"
- CUSTOMThe Model is uploaded by user or custom training pipeline.
- "BQML"
- BQMLThe Model is registered and sync'ed from BigQuery ML.
- "MODEL_GARDEN"
- MODEL_GARDENThe Model is saved or tuned from Model Garden.
GoogleCloudDatacatalogV1VertexModelSpec, GoogleCloudDatacatalogV1VertexModelSpecArgs
- Container
Image stringUri - URI of the Docker image to be used as the custom container for serving predictions.
- Version
Aliases List<string> - User provided version aliases so that a model version can be referenced via alias
- Version
Description string - The description of this version.
- Version
Id string - The version ID of the model.
- Vertex
Model Pulumi.Source Info Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Vertex Model Source Info - Source of a Vertex model.
- Container
Image stringUri - URI of the Docker image to be used as the custom container for serving predictions.
- Version
Aliases []string - User provided version aliases so that a model version can be referenced via alias
- Version
Description string - The description of this version.
- Version
Id string - The version ID of the model.
- Vertex
Model GoogleSource Info Cloud Datacatalog V1Vertex Model Source Info - Source of a Vertex model.
- container
Image StringUri - URI of the Docker image to be used as the custom container for serving predictions.
- version
Aliases List<String> - User provided version aliases so that a model version can be referenced via alias
- version
Description String - The description of this version.
- version
Id String - The version ID of the model.
- vertex
Model GoogleSource Info Cloud Datacatalog V1Vertex Model Source Info - Source of a Vertex model.
- container
Image stringUri - URI of the Docker image to be used as the custom container for serving predictions.
- version
Aliases string[] - User provided version aliases so that a model version can be referenced via alias
- version
Description string - The description of this version.
- version
Id string - The version ID of the model.
- vertex
Model GoogleSource Info Cloud Datacatalog V1Vertex Model Source Info - Source of a Vertex model.
- container_
image_ struri - URI of the Docker image to be used as the custom container for serving predictions.
- version_
aliases Sequence[str] - User provided version aliases so that a model version can be referenced via alias
- version_
description str - The description of this version.
- version_
id str - The version ID of the model.
- vertex_
model_ Googlesource_ info Cloud Datacatalog V1Vertex Model Source Info - Source of a Vertex model.
- container
Image StringUri - URI of the Docker image to be used as the custom container for serving predictions.
- version
Aliases List<String> - User provided version aliases so that a model version can be referenced via alias
- version
Description String - The description of this version.
- version
Id String - The version ID of the model.
- vertex
Model Property MapSource Info - Source of a Vertex model.
GoogleCloudDatacatalogV1VertexModelSpecResponse, GoogleCloudDatacatalogV1VertexModelSpecResponseArgs
- Container
Image stringUri - URI of the Docker image to be used as the custom container for serving predictions.
- Version
Aliases List<string> - User provided version aliases so that a model version can be referenced via alias
- Version
Description string - The description of this version.
- Version
Id string - The version ID of the model.
- Vertex
Model Pulumi.Source Info Google Native. Data Catalog. V1. Inputs. Google Cloud Datacatalog V1Vertex Model Source Info Response - Source of a Vertex model.
- Container
Image stringUri - URI of the Docker image to be used as the custom container for serving predictions.
- Version
Aliases []string - User provided version aliases so that a model version can be referenced via alias
- Version
Description string - The description of this version.
- Version
Id string - The version ID of the model.
- Vertex
Model GoogleSource Info Cloud Datacatalog V1Vertex Model Source Info Response - Source of a Vertex model.
- container
Image StringUri - URI of the Docker image to be used as the custom container for serving predictions.
- version
Aliases List<String> - User provided version aliases so that a model version can be referenced via alias
- version
Description String - The description of this version.
- version
Id String - The version ID of the model.
- vertex
Model GoogleSource Info Cloud Datacatalog V1Vertex Model Source Info Response - Source of a Vertex model.
- container
Image stringUri - URI of the Docker image to be used as the custom container for serving predictions.
- version
Aliases string[] - User provided version aliases so that a model version can be referenced via alias
- version
Description string - The description of this version.
- version
Id string - The version ID of the model.
- vertex
Model GoogleSource Info Cloud Datacatalog V1Vertex Model Source Info Response - Source of a Vertex model.
- container_
image_ struri - URI of the Docker image to be used as the custom container for serving predictions.
- version_
aliases Sequence[str] - User provided version aliases so that a model version can be referenced via alias
- version_
description str - The description of this version.
- version_
id str - The version ID of the model.
- vertex_
model_ Googlesource_ info Cloud Datacatalog V1Vertex Model Source Info Response - Source of a Vertex model.
- container
Image StringUri - URI of the Docker image to be used as the custom container for serving predictions.
- version
Aliases List<String> - User provided version aliases so that a model version can be referenced via alias
- version
Description String - The description of this version.
- version
Id String - The version ID of the model.
- vertex
Model Property MapSource Info - Source of a Vertex model.
GoogleCloudDatacatalogV1ViewSpecResponse, GoogleCloudDatacatalogV1ViewSpecResponseArgs
- View
Query string - The query that defines the table view.
- View
Query string - The query that defines the table view.
- view
Query String - The query that defines the table view.
- view
Query string - The query that defines the table view.
- view_
query str - The query that defines the table view.
- view
Query String - The query that defines the table view.
Package Details
- Repository
- Google Cloud Native pulumi/pulumi-google-native
- License
- Apache-2.0
Google Cloud Native is in preview. Google Cloud Classic is fully supported.