close()

Close httplib2 connections.

create(parent, body=None, entryId=None, x__xgafv=None)

Creates an entry. Only entries of 'FILESET' type or user-specified type can be created. Users should enable the Data Catalog API in the project identified by the `parent` parameter (see [Data Catalog Resource Project] (https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information). A maximum of 100,000 entries may be created per entry group.

Args:
parent: string, Required. The name of the entry group this entry is in. Example: * projects/{project_id}/locations/{location}/entryGroups/{entry_group_id} Note that this Entry and its child resources may not actually be stored in the location in this name. (required)
body: object, The request body.
The object takes the form of:

{ # Entry Metadata. A Data Catalog Entry resource represents another resource in Google Cloud Platform (such as a BigQuery dataset or a Pub/Sub topic), or outside of Google Cloud Platform. Clients can use the `linked_resource` field in the Entry resource to refer to the original resource ID of the source system. An Entry resource contains resource details, such as its schema. An Entry can also be used to attach flexible metadata, such as a Tag.
"bigqueryDateShardedSpec": { # Spec for a group of BigQuery tables with name pattern `[prefix]YYYYMMDD`. Context: https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding # Specification for a group of BigQuery tables with name pattern `[prefix]YYYYMMDD`. Context: https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding.
"dataset": "A String", # Output only. 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}`.
"shardCount": "A String", # Output only. Total number of shards.
"tablePrefix": "A String", # Output only. The table name prefix of the shards. The name of any given shard is `[table_prefix]YYYYMMDD`, for example, for shard `MyTable20180101`, the `table_prefix` is `MyTable`.
},
"bigqueryTableSpec": { # Describes a BigQuery table. # Specification that applies to a BigQuery table. This is only valid on entries of type `TABLE`.
"tableSourceType": "A String", # Output only. The table source type.
"tableSpec": { # Normal BigQuery table spec. # Spec of a BigQuery table. This field should only be populated if `table_source_type` is `BIGQUERY_TABLE`.
"groupedEntry": "A String", # Output only. If the table is a dated shard, i.e., with name pattern `[prefix]YYYYMMDD`, `grouped_entry` 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.
},
"viewSpec": { # Table view specification. # Table view specification. This field should only be populated if `table_source_type` is `BIGQUERY_VIEW`.
"viewQuery": "A String", # Output only. The query that defines the table view.
},
},
"description": "A String", # Entry description, which can consist of several sentences or paragraphs that describe entry contents. Default value is an empty string.
"displayName": "A String", # Display information such as title and description. A short name to identify the entry, for example, "Analytics Data - Jan 2011". Default value is an empty string.
"gcsFilesetSpec": { # Describes a Cloud Storage fileset entry. # Specification that applies to a Cloud Storage fileset. This is only valid on entries of type FILESET.
"filePatterns": [ # Required. Patterns to identify a set of files in Google Cloud Storage. See [Cloud Storage documentation](https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames) for more information. Note that bucket wildcards are currently not supported. Examples of valid file_patterns: * `gs://bucket_name/dir/*`: matches all files within `bucket_name/dir` directory. * `gs://bucket_name/dir/**`: matches all files in `bucket_name/dir` spanning all subdirectories. * `gs://bucket_name/file*`: matches files prefixed by `file` in `bucket_name` * `gs://bucket_name/??.txt`: matches files with two characters followed by `.txt` in `bucket_name` * `gs://bucket_name/[aeiou].txt`: matches files that contain a single vowel character followed by `.txt` in `bucket_name` * `gs://bucket_name/[a-m].txt`: matches files that contain `a`, `b`, ... or `m` followed by `.txt` in `bucket_name` * `gs://bucket_name/a/*/b`: matches all files in `bucket_name` that match `a/*/b` pattern, such as `a/c/b`, `a/d/b` * `gs://another_bucket/a.txt`: matches `gs://another_bucket/a.txt` You can combine wildcards to provide more powerful matches, for example: * `gs://bucket_name/[a-m]??.j*g`
"A String",
],
"sampleGcsFileSpecs": [ # Output only. Sample files contained in this fileset, not all files contained in this fileset are represented here.
{ # Specifications of a single file in Cloud Storage.
"filePath": "A String", # Required. The full file path. Example: `gs://bucket_name/a/b.txt`.
"gcsTimestamps": { # Timestamps about this resource according to a particular system. # Output only. Timestamps about the Cloud Storage file.
"createTime": "A String", # The creation time of the resource within the given system.
"expireTime": "A String", # Output only. The expiration time of the resource within the given system. Currently only apllicable to BigQuery resources.
"updateTime": "A String", # The last-modified time of the resource within the given system.
},
"sizeBytes": "A String", # Output only. The size of the file, in bytes.
},
],
},
"integratedSystem": "A String", # Output only. This field indicates the entry's source system that Data Catalog integrates with, such as BigQuery or Pub/Sub.
"linkedResource": "A String", # The resource this metadata entry refers to. For Google Cloud Platform resources, `linked_resource` is the [full name of the resource](https://cloud.google.com/apis/design/resource_names#full_resource_name). For example, the `linked_resource` for a table resource from BigQuery is: * //bigquery.googleapis.com/projects/projectId/datasets/datasetId/tables/tableId Output only when Entry is of type in the EntryType enum. For entries with user_specified_type, this field is optional and defaults to an empty string.
"name": "A String", # Output only. The Data Catalog resource name of the entry in URL format. Example: * projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}/entries/{entry_id} Note that this Entry and its child resources may not actually be stored in the location in this name.
"schema": { # Represents a schema (e.g. BigQuery, GoogleSQL, Avro schema). # Schema of the entry. An entry might not have any schema attached to it.
"columns": [ # Required. Schema of columns. A maximum of 10,000 columns and sub-columns can be specified.
{ # Representation of a column within a schema. Columns could be nested inside other columns.
"column": "A String", # Required. Name of the column.
"description": "A String", # Optional. Description of the column. Default value is an empty string.
"mode": "A String", # Optional. A column's mode indicates whether the values in this column are required, nullable, etc. Only `NULLABLE`, `REQUIRED` and `REPEATED` are supported. Default mode is `NULLABLE`.
"subcolumns": [ # Optional. Schema of sub-columns. A column can have zero or more sub-columns.
# Object with schema name: GoogleCloudDatacatalogV1beta1ColumnSchema
],
"type": "A String", # Required. Type of the column.
},
],
},
"sourceSystemTimestamps": { # Timestamps about this resource according to a particular system. # Output only. Timestamps about the underlying resource, not about this Data Catalog entry. Output only when Entry is of type in the EntryType enum. For entries with user_specified_type, this field is optional and defaults to an empty timestamp.
"createTime": "A String", # The creation time of the resource within the given system.
"expireTime": "A String", # Output only. The expiration time of the resource within the given system. Currently only apllicable to BigQuery resources.
"updateTime": "A String", # The last-modified time of the resource within the given system.
},
"type": "A String", # The type of the entry. Only used for Entries with types in the EntryType enum.
"usageSignal": { # The set of all usage signals that we store in Data Catalog. # Output only. Statistics on the usage level of the resource.
"updateTime": "A String", # The timestamp of the end of the usage statistics duration.
"usageWithinTimeRange": { # Usage statistics over each of the pre-defined time ranges, supported strings for time ranges are {"24H", "7D", "30D"}.
"a_key": { # Detailed counts on the entry's usage. Caveats: - Only BigQuery tables have usage stats - The usage stats only include BigQuery query jobs - The usage stats might be underestimated, e.g. wildcard table references are not yet counted in usage computation https://cloud.google.com/bigquery/docs/querying-wildcard-tables
"totalCancellations": 3.14, # The number of times that the underlying entry was attempted to be used but was cancelled by the user.
"totalCompletions": 3.14, # The number of times that the underlying entry was successfully used.
"totalExecutionTimeForCompletionsMillis": 3.14, # Total time spent (in milliseconds) during uses the resulted in completions.
"totalFailures": 3.14, # The number of times that the underlying entry was attempted to be used but failed.
},
},
},
"userSpecifiedSystem": "A String", # This field indicates the entry's source system that Data Catalog does not integrate with. `user_specified_system` strings must begin with a letter or underscore and can only contain letters, numbers, and underscores; are case insensitive; must be at least 1 character and at most 64 characters long.
"userSpecifiedType": "A String", # Entry type if it does not fit any of the input-allowed values listed in `EntryType` enum above. When creating an entry, users should check the enum values first, if nothing matches the entry to be created, then provide a custom value, for example "my_special_type". `user_specified_type` strings must begin with a letter or underscore and can only contain letters, numbers, and underscores; are case insensitive; must be at least 1 character and at most 64 characters long. Currently, only FILESET enum value is allowed. All other entries created through Data Catalog must use `user_specified_type`.
}

entryId: string, Required. The id of the entry to create.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Entry Metadata. A Data Catalog Entry resource represents another resource in Google Cloud Platform (such as a BigQuery dataset or a Pub/Sub topic), or outside of Google Cloud Platform. Clients can use the `linked_resource` field in the Entry resource to refer to the original resource ID of the source system. An Entry resource contains resource details, such as its schema. An Entry can also be used to attach flexible metadata, such as a Tag.
"bigqueryDateShardedSpec": { # Spec for a group of BigQuery tables with name pattern `[prefix]YYYYMMDD`. Context: https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding # Specification for a group of BigQuery tables with name pattern `[prefix]YYYYMMDD`. Context: https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding.
"dataset": "A String", # Output only. 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}`.
"shardCount": "A String", # Output only. Total number of shards.
"tablePrefix": "A String", # Output only. The table name prefix of the shards. The name of any given shard is `[table_prefix]YYYYMMDD`, for example, for shard `MyTable20180101`, the `table_prefix` is `MyTable`.
},
"bigqueryTableSpec": { # Describes a BigQuery table. # Specification that applies to a BigQuery table. This is only valid on entries of type `TABLE`.
"tableSourceType": "A String", # Output only. The table source type.
"tableSpec": { # Normal BigQuery table spec. # Spec of a BigQuery table. This field should only be populated if `table_source_type` is `BIGQUERY_TABLE`.
"groupedEntry": "A String", # Output only. If the table is a dated shard, i.e., with name pattern `[prefix]YYYYMMDD`, `grouped_entry` 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.
},
"viewSpec": { # Table view specification. # Table view specification. This field should only be populated if `table_source_type` is `BIGQUERY_VIEW`.
"viewQuery": "A String", # Output only. The query that defines the table view.
},
},
"description": "A String", # Entry description, which can consist of several sentences or paragraphs that describe entry contents. Default value is an empty string.
"displayName": "A String", # Display information such as title and description. A short name to identify the entry, for example, "Analytics Data - Jan 2011". Default value is an empty string.
"gcsFilesetSpec": { # Describes a Cloud Storage fileset entry. # Specification that applies to a Cloud Storage fileset. This is only valid on entries of type FILESET.
"filePatterns": [ # Required. Patterns to identify a set of files in Google Cloud Storage. See [Cloud Storage documentation](https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames) for more information. Note that bucket wildcards are currently not supported. Examples of valid file_patterns: * `gs://bucket_name/dir/*`: matches all files within `bucket_name/dir` directory. * `gs://bucket_name/dir/**`: matches all files in `bucket_name/dir` spanning all subdirectories. * `gs://bucket_name/file*`: matches files prefixed by `file` in `bucket_name` * `gs://bucket_name/??.txt`: matches files with two characters followed by `.txt` in `bucket_name` * `gs://bucket_name/[aeiou].txt`: matches files that contain a single vowel character followed by `.txt` in `bucket_name` * `gs://bucket_name/[a-m].txt`: matches files that contain `a`, `b`, ... or `m` followed by `.txt` in `bucket_name` * `gs://bucket_name/a/*/b`: matches all files in `bucket_name` that match `a/*/b` pattern, such as `a/c/b`, `a/d/b` * `gs://another_bucket/a.txt`: matches `gs://another_bucket/a.txt` You can combine wildcards to provide more powerful matches, for example: * `gs://bucket_name/[a-m]??.j*g`
"A String",
],
"sampleGcsFileSpecs": [ # Output only. Sample files contained in this fileset, not all files contained in this fileset are represented here.
{ # Specifications of a single file in Cloud Storage.
"filePath": "A String", # Required. The full file path. Example: `gs://bucket_name/a/b.txt`.
"gcsTimestamps": { # Timestamps about this resource according to a particular system. # Output only. Timestamps about the Cloud Storage file.
"createTime": "A String", # The creation time of the resource within the given system.
"expireTime": "A String", # Output only. The expiration time of the resource within the given system. Currently only apllicable to BigQuery resources.
"updateTime": "A String", # The last-modified time of the resource within the given system.
},
"sizeBytes": "A String", # Output only. The size of the file, in bytes.
},
],
},
"integratedSystem": "A String", # Output only. This field indicates the entry's source system that Data Catalog integrates with, such as BigQuery or Pub/Sub.
"linkedResource": "A String", # The resource this metadata entry refers to. For Google Cloud Platform resources, `linked_resource` is the [full name of the resource](https://cloud.google.com/apis/design/resource_names#full_resource_name). For example, the `linked_resource` for a table resource from BigQuery is: * //bigquery.googleapis.com/projects/projectId/datasets/datasetId/tables/tableId Output only when Entry is of type in the EntryType enum. For entries with user_specified_type, this field is optional and defaults to an empty string.
"name": "A String", # Output only. The Data Catalog resource name of the entry in URL format. Example: * projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}/entries/{entry_id} Note that this Entry and its child resources may not actually be stored in the location in this name.
"schema": { # Represents a schema (e.g. BigQuery, GoogleSQL, Avro schema). # Schema of the entry. An entry might not have any schema attached to it.
"columns": [ # Required. Schema of columns. A maximum of 10,000 columns and sub-columns can be specified.
{ # Representation of a column within a schema. Columns could be nested inside other columns.
"column": "A String", # Required. Name of the column.
"description": "A String", # Optional. Description of the column. Default value is an empty string.
"mode": "A String", # Optional. A column's mode indicates whether the values in this column are required, nullable, etc. Only `NULLABLE`, `REQUIRED` and `REPEATED` are supported. Default mode is `NULLABLE`.
"subcolumns": [ # Optional. Schema of sub-columns. A column can have zero or more sub-columns.
# Object with schema name: GoogleCloudDatacatalogV1beta1ColumnSchema
],
"type": "A String", # Required. Type of the column.
},
],
},
"sourceSystemTimestamps": { # Timestamps about this resource according to a particular system. # Output only. Timestamps about the underlying resource, not about this Data Catalog entry. Output only when Entry is of type in the EntryType enum. For entries with user_specified_type, this field is optional and defaults to an empty timestamp.
"createTime": "A String", # The creation time of the resource within the given system.
"expireTime": "A String", # Output only. The expiration time of the resource within the given system. Currently only apllicable to BigQuery resources.
"updateTime": "A String", # The last-modified time of the resource within the given system.
},
"type": "A String", # The type of the entry. Only used for Entries with types in the EntryType enum.
"usageSignal": { # The set of all usage signals that we store in Data Catalog. # Output only. Statistics on the usage level of the resource.
"updateTime": "A String", # The timestamp of the end of the usage statistics duration.
"usageWithinTimeRange": { # Usage statistics over each of the pre-defined time ranges, supported strings for time ranges are {"24H", "7D", "30D"}.
"a_key": { # Detailed counts on the entry's usage. Caveats: - Only BigQuery tables have usage stats - The usage stats only include BigQuery query jobs - The usage stats might be underestimated, e.g. wildcard table references are not yet counted in usage computation https://cloud.google.com/bigquery/docs/querying-wildcard-tables
"totalCancellations": 3.14, # The number of times that the underlying entry was attempted to be used but was cancelled by the user.
"totalCompletions": 3.14, # The number of times that the underlying entry was successfully used.
"totalExecutionTimeForCompletionsMillis": 3.14, # Total time spent (in milliseconds) during uses the resulted in completions.
"totalFailures": 3.14, # The number of times that the underlying entry was attempted to be used but failed.
},
},
},
"userSpecifiedSystem": "A String", # This field indicates the entry's source system that Data Catalog does not integrate with. `user_specified_system` strings must begin with a letter or underscore and can only contain letters, numbers, and underscores; are case insensitive; must be at least 1 character and at most 64 characters long.
"userSpecifiedType": "A String", # Entry type if it does not fit any of the input-allowed values listed in `EntryType` enum above. When creating an entry, users should check the enum values first, if nothing matches the entry to be created, then provide a custom value, for example "my_special_type". `user_specified_type` strings must begin with a letter or underscore and can only contain letters, numbers, and underscores; are case insensitive; must be at least 1 character and at most 64 characters long. Currently, only FILESET enum value is allowed. All other entries created through Data Catalog must use `user_specified_type`.
}

delete(name, x__xgafv=None)

Deletes an existing entry. Only entries created through CreateEntry method can be deleted. Users should enable the Data Catalog API in the project identified by the `name` parameter (see [Data Catalog Resource Project] (https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).

Args:
  name: string, Required. The name of the entry. Example: * projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}/entries/{entry_id} (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for `Empty` is empty JSON object `{}`.
}

get(name, x__xgafv=None)

Gets an entry.

Args:
name: string, Required. The name of the entry. Example: * projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}/entries/{entry_id} (required)
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Entry Metadata. A Data Catalog Entry resource represents another resource in Google Cloud Platform (such as a BigQuery dataset or a Pub/Sub topic), or outside of Google Cloud Platform. Clients can use the `linked_resource` field in the Entry resource to refer to the original resource ID of the source system. An Entry resource contains resource details, such as its schema. An Entry can also be used to attach flexible metadata, such as a Tag.
"bigqueryDateShardedSpec": { # Spec for a group of BigQuery tables with name pattern `[prefix]YYYYMMDD`. Context: https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding # Specification for a group of BigQuery tables with name pattern `[prefix]YYYYMMDD`. Context: https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding.
"dataset": "A String", # Output only. 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}`.
"shardCount": "A String", # Output only. Total number of shards.
"tablePrefix": "A String", # Output only. The table name prefix of the shards. The name of any given shard is `[table_prefix]YYYYMMDD`, for example, for shard `MyTable20180101`, the `table_prefix` is `MyTable`.
},
"bigqueryTableSpec": { # Describes a BigQuery table. # Specification that applies to a BigQuery table. This is only valid on entries of type `TABLE`.
"tableSourceType": "A String", # Output only. The table source type.
"tableSpec": { # Normal BigQuery table spec. # Spec of a BigQuery table. This field should only be populated if `table_source_type` is `BIGQUERY_TABLE`.
"groupedEntry": "A String", # Output only. If the table is a dated shard, i.e., with name pattern `[prefix]YYYYMMDD`, `grouped_entry` 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.
},
"viewSpec": { # Table view specification. # Table view specification. This field should only be populated if `table_source_type` is `BIGQUERY_VIEW`.
"viewQuery": "A String", # Output only. The query that defines the table view.
},
},
"description": "A String", # Entry description, which can consist of several sentences or paragraphs that describe entry contents. Default value is an empty string.
"displayName": "A String", # Display information such as title and description. A short name to identify the entry, for example, "Analytics Data - Jan 2011". Default value is an empty string.
"gcsFilesetSpec": { # Describes a Cloud Storage fileset entry. # Specification that applies to a Cloud Storage fileset. This is only valid on entries of type FILESET.
"filePatterns": [ # Required. Patterns to identify a set of files in Google Cloud Storage. See [Cloud Storage documentation](https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames) for more information. Note that bucket wildcards are currently not supported. Examples of valid file_patterns: * `gs://bucket_name/dir/*`: matches all files within `bucket_name/dir` directory. * `gs://bucket_name/dir/**`: matches all files in `bucket_name/dir` spanning all subdirectories. * `gs://bucket_name/file*`: matches files prefixed by `file` in `bucket_name` * `gs://bucket_name/??.txt`: matches files with two characters followed by `.txt` in `bucket_name` * `gs://bucket_name/[aeiou].txt`: matches files that contain a single vowel character followed by `.txt` in `bucket_name` * `gs://bucket_name/[a-m].txt`: matches files that contain `a`, `b`, ... or `m` followed by `.txt` in `bucket_name` * `gs://bucket_name/a/*/b`: matches all files in `bucket_name` that match `a/*/b` pattern, such as `a/c/b`, `a/d/b` * `gs://another_bucket/a.txt`: matches `gs://another_bucket/a.txt` You can combine wildcards to provide more powerful matches, for example: * `gs://bucket_name/[a-m]??.j*g`
"A String",
],
"sampleGcsFileSpecs": [ # Output only. Sample files contained in this fileset, not all files contained in this fileset are represented here.
{ # Specifications of a single file in Cloud Storage.
"filePath": "A String", # Required. The full file path. Example: `gs://bucket_name/a/b.txt`.
"gcsTimestamps": { # Timestamps about this resource according to a particular system. # Output only. Timestamps about the Cloud Storage file.
"createTime": "A String", # The creation time of the resource within the given system.
"expireTime": "A String", # Output only. The expiration time of the resource within the given system. Currently only apllicable to BigQuery resources.
"updateTime": "A String", # The last-modified time of the resource within the given system.
},
"sizeBytes": "A String", # Output only. The size of the file, in bytes.
},
],
},
"integratedSystem": "A String", # Output only. This field indicates the entry's source system that Data Catalog integrates with, such as BigQuery or Pub/Sub.
"linkedResource": "A String", # The resource this metadata entry refers to. For Google Cloud Platform resources, `linked_resource` is the [full name of the resource](https://cloud.google.com/apis/design/resource_names#full_resource_name). For example, the `linked_resource` for a table resource from BigQuery is: * //bigquery.googleapis.com/projects/projectId/datasets/datasetId/tables/tableId Output only when Entry is of type in the EntryType enum. For entries with user_specified_type, this field is optional and defaults to an empty string.
"name": "A String", # Output only. The Data Catalog resource name of the entry in URL format. Example: * projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}/entries/{entry_id} Note that this Entry and its child resources may not actually be stored in the location in this name.
"schema": { # Represents a schema (e.g. BigQuery, GoogleSQL, Avro schema). # Schema of the entry. An entry might not have any schema attached to it.
"columns": [ # Required. Schema of columns. A maximum of 10,000 columns and sub-columns can be specified.
{ # Representation of a column within a schema. Columns could be nested inside other columns.
"column": "A String", # Required. Name of the column.
"description": "A String", # Optional. Description of the column. Default value is an empty string.
"mode": "A String", # Optional. A column's mode indicates whether the values in this column are required, nullable, etc. Only `NULLABLE`, `REQUIRED` and `REPEATED` are supported. Default mode is `NULLABLE`.
"subcolumns": [ # Optional. Schema of sub-columns. A column can have zero or more sub-columns.
# Object with schema name: GoogleCloudDatacatalogV1beta1ColumnSchema
],
"type": "A String", # Required. Type of the column.
},
],
},
"sourceSystemTimestamps": { # Timestamps about this resource according to a particular system. # Output only. Timestamps about the underlying resource, not about this Data Catalog entry. Output only when Entry is of type in the EntryType enum. For entries with user_specified_type, this field is optional and defaults to an empty timestamp.
"createTime": "A String", # The creation time of the resource within the given system.
"expireTime": "A String", # Output only. The expiration time of the resource within the given system. Currently only apllicable to BigQuery resources.
"updateTime": "A String", # The last-modified time of the resource within the given system.
},
"type": "A String", # The type of the entry. Only used for Entries with types in the EntryType enum.
"usageSignal": { # The set of all usage signals that we store in Data Catalog. # Output only. Statistics on the usage level of the resource.
"updateTime": "A String", # The timestamp of the end of the usage statistics duration.
"usageWithinTimeRange": { # Usage statistics over each of the pre-defined time ranges, supported strings for time ranges are {"24H", "7D", "30D"}.
"a_key": { # Detailed counts on the entry's usage. Caveats: - Only BigQuery tables have usage stats - The usage stats only include BigQuery query jobs - The usage stats might be underestimated, e.g. wildcard table references are not yet counted in usage computation https://cloud.google.com/bigquery/docs/querying-wildcard-tables
"totalCancellations": 3.14, # The number of times that the underlying entry was attempted to be used but was cancelled by the user.
"totalCompletions": 3.14, # The number of times that the underlying entry was successfully used.
"totalExecutionTimeForCompletionsMillis": 3.14, # Total time spent (in milliseconds) during uses the resulted in completions.
"totalFailures": 3.14, # The number of times that the underlying entry was attempted to be used but failed.
},
},
},
"userSpecifiedSystem": "A String", # This field indicates the entry's source system that Data Catalog does not integrate with. `user_specified_system` strings must begin with a letter or underscore and can only contain letters, numbers, and underscores; are case insensitive; must be at least 1 character and at most 64 characters long.
"userSpecifiedType": "A String", # Entry type if it does not fit any of the input-allowed values listed in `EntryType` enum above. When creating an entry, users should check the enum values first, if nothing matches the entry to be created, then provide a custom value, for example "my_special_type". `user_specified_type` strings must begin with a letter or underscore and can only contain letters, numbers, and underscores; are case insensitive; must be at least 1 character and at most 64 characters long. Currently, only FILESET enum value is allowed. All other entries created through Data Catalog must use `user_specified_type`.
}

getIamPolicy(resource, body=None, x__xgafv=None)

Gets the access control policy for a resource. A `NOT_FOUND` error is returned if the resource does not exist. An empty policy is returned if the resource exists but does not have a policy set on it. Supported resources are: - Tag templates. - Entries. - Entry groups. Note, this method cannot be used to manage policies for BigQuery, Pub/Sub and any external Google Cloud Platform resources synced to Data Catalog. Callers must have following Google IAM permission - `datacatalog.tagTemplates.getIamPolicy` to get policies on tag templates. - `datacatalog.entries.getIamPolicy` to get policies on entries. - `datacatalog.entryGroups.getIamPolicy` to get policies on entry groups.

Args:
resource: string, REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field. (required)
body: object, The request body.
The object takes the form of:

{ # Request message for `GetIamPolicy` method.
"options": { # Encapsulates settings provided to GetIamPolicy. # OPTIONAL: A `GetPolicyOptions` object for specifying options to `GetIamPolicy`.
"requestedPolicyVersion": 42, # Optional. The maximum policy version that will be used to format the policy. Valid values are 0, 1, and 3. Requests specifying an invalid value will be rejected. Requests for policies with any conditional role bindings must specify version 3. Policies with no conditional role bindings may specify any valid value or leave the field unset. The policy in the response might use the policy version that you specified, or it might use a lower policy version. For example, if you specify version 3, but the policy has no conditional role bindings, the response uses version 1. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
},
}

x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # An Identity and Access Management (IAM) policy, which specifies access controls for Google Cloud resources. A `Policy` is a collection of `bindings`. A `binding` binds one or more `members`, or principals, to a single `role`. Principals can be user accounts, service accounts, Google groups, and domains (such as G Suite). A `role` is a named list of permissions; each `role` can be an IAM predefined role or a user-created custom role. For some types of Google Cloud resources, a `binding` can also specify a `condition`, which is a logical expression that allows access to a resource only if the expression evaluates to `true`. A condition can add constraints based on attributes of the request, the resource, or both. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies). **JSON example:** { "bindings": [ { "role": "roles/resourcemanager.organizationAdmin", "members": [ "user:mike@example.com", "group:admins@example.com", "domain:google.com", "serviceAccount:my-project-id@appspot.gserviceaccount.com" ] }, { "role": "roles/resourcemanager.organizationViewer", "members": [ "user:eve@example.com" ], "condition": { "title": "expirable access", "description": "Does not grant access after Sep 2020", "expression": "request.time < timestamp('2020-10-01T00:00:00.000Z')", } } ], "etag": "BwWWja0YfJA=", "version": 3 } **YAML example:** bindings: - members: - user:mike@example.com - group:admins@example.com - domain:google.com - serviceAccount:my-project-id@appspot.gserviceaccount.com role: roles/resourcemanager.organizationAdmin - members: - user:eve@example.com role: roles/resourcemanager.organizationViewer condition: title: expirable access description: Does not grant access after Sep 2020 expression: request.time < timestamp('2020-10-01T00:00:00.000Z') etag: BwWWja0YfJA= version: 3 For a description of IAM and its features, see the [IAM documentation](https://cloud.google.com/iam/docs/).
"bindings": [ # Associates a list of `members`, or principals, with a `role`. Optionally, may specify a `condition` that determines how and when the `bindings` are applied. Each of the `bindings` must contain at least one principal. The `bindings` in a `Policy` can refer to up to 1,500 principals; up to 250 of these principals can be Google groups. Each occurrence of a principal counts towards these limits. For example, if the `bindings` grant 50 different roles to `user:alice@example.com`, and not to any other principal, then you can add another 1,450 principals to the `bindings` in the `Policy`.
{ # Associates `members`, or principals, with a `role`.
"condition": { # Represents a textual expression in the Common Expression Language (CEL) syntax. CEL is a C-like expression language. The syntax and semantics of CEL are documented at https://github.com/google/cel-spec. Example (Comparison): title: "Summary size limit" description: "Determines if a summary is less than 100 chars" expression: "document.summary.size() < 100" Example (Equality): title: "Requestor is owner" description: "Determines if requestor is the document owner" expression: "document.owner == request.auth.claims.email" Example (Logic): title: "Public documents" description: "Determine whether the document should be publicly visible" expression: "document.type != 'private' && document.type != 'internal'" Example (Data Manipulation): title: "Notification string" description: "Create a notification string with a timestamp." expression: "'New message received at ' + string(document.create_time)" The exact variables and functions that may be referenced within an expression are determined by the service that evaluates it. See the service documentation for additional information. # The condition that is associated with this binding. If the condition evaluates to `true`, then this binding applies to the current request. If the condition evaluates to `false`, then this binding does not apply to the current request. However, a different role binding might grant the same role to one or more of the principals in this binding. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
"description": "A String", # Optional. Description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
"expression": "A String", # Textual representation of an expression in Common Expression Language syntax.
"location": "A String", # Optional. String indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
"title": "A String", # Optional. Title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
},
"members": [ # Specifies the principals requesting access for a Cloud Platform resource. `members` can have the following values: * `allUsers`: A special identifier that represents anyone who is on the internet; with or without a Google account. * `allAuthenticatedUsers`: A special identifier that represents anyone who is authenticated with a Google account or a service account. * `user:{emailid}`: An email address that represents a specific Google account. For example, `alice@example.com` . * `serviceAccount:{emailid}`: An email address that represents a service account. For example, `my-other-app@appspot.gserviceaccount.com`. * `group:{emailid}`: An email address that represents a Google group. For example, `admins@example.com`. * `deleted:user:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a user that has been recently deleted. For example, `alice@example.com?uid=123456789012345678901`. If the user is recovered, this value reverts to `user:{emailid}` and the recovered user retains the role in the binding. * `deleted:serviceAccount:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a service account that has been recently deleted. For example, `my-other-app@appspot.gserviceaccount.com?uid=123456789012345678901`. If the service account is undeleted, this value reverts to `serviceAccount:{emailid}` and the undeleted service account retains the role in the binding. * `deleted:group:{emailid}?uid={uniqueid}`: An email address (plus unique identifier) representing a Google group that has been recently deleted. For example, `admins@example.com?uid=123456789012345678901`. If the group is recovered, this value reverts to `group:{emailid}` and the recovered group retains the role in the binding. * `domain:{domain}`: The G Suite domain (primary) that represents all the users of that domain. For example, `google.com` or `example.com`.
"A String",
],
"role": "A String", # Role that is assigned to the list of `members`, or principals. For example, `roles/viewer`, `roles/editor`, or `roles/owner`.
},
],
"etag": "A String", # `etag` is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the `etag` in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An `etag` is returned in the response to `getIamPolicy`, and systems are expected to put that etag in the request to `setIamPolicy` to ensure that their change will be applied to the same version of the policy. **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost.
"version": 42, # Specifies the format of the policy. Valid values are `0`, `1`, and `3`. Requests that specify an invalid value are rejected. Any operation that affects conditional role bindings must specify version `3`. This requirement applies to the following operations: * Getting a policy that includes a conditional role binding * Adding a conditional role binding to a policy * Changing a conditional role binding in a policy * Removing any role binding, with or without a condition, from a policy that includes conditions **Important:** If you use IAM Conditions, you must include the `etag` field whenever you call `setIamPolicy`. If you omit this field, then IAM allows you to overwrite a version `3` policy with a version `1` policy, and all of the conditions in the version `3` policy are lost. If a policy does not include any conditions, operations on that policy may specify any valid version or leave the field unset. To learn which resources support conditions in their IAM policies, see the [IAM documentation](https://cloud.google.com/iam/help/conditions/resource-policies).
}

list(parent, pageSize=None, pageToken=None, readMask=None, x__xgafv=None)

Lists entries.

Args:
parent: string, Required. The name of the entry group that contains the entries, which can be provided in URL format. Example: * projects/{project_id}/locations/{location}/entryGroups/{entry_group_id} (required)
pageSize: integer, The maximum number of items to return. Default is 10. Max limit is 1000. Throws an invalid argument for `page_size > 1000`.
pageToken: string, Token that specifies which page is requested. If empty, the first page is returned.
readMask: string, The fields to return for each Entry. If not set or empty, all fields are returned. For example, setting read_mask to contain only one path "name" will cause ListEntries to return a list of Entries with only "name" field.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Response message for ListEntries.
"entries": [ # Entry details.
{ # Entry Metadata. A Data Catalog Entry resource represents another resource in Google Cloud Platform (such as a BigQuery dataset or a Pub/Sub topic), or outside of Google Cloud Platform. Clients can use the `linked_resource` field in the Entry resource to refer to the original resource ID of the source system. An Entry resource contains resource details, such as its schema. An Entry can also be used to attach flexible metadata, such as a Tag.
"bigqueryDateShardedSpec": { # Spec for a group of BigQuery tables with name pattern `[prefix]YYYYMMDD`. Context: https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding # Specification for a group of BigQuery tables with name pattern `[prefix]YYYYMMDD`. Context: https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding.
"dataset": "A String", # Output only. 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}`.
"shardCount": "A String", # Output only. Total number of shards.
"tablePrefix": "A String", # Output only. The table name prefix of the shards. The name of any given shard is `[table_prefix]YYYYMMDD`, for example, for shard `MyTable20180101`, the `table_prefix` is `MyTable`.
},
"bigqueryTableSpec": { # Describes a BigQuery table. # Specification that applies to a BigQuery table. This is only valid on entries of type `TABLE`.
"tableSourceType": "A String", # Output only. The table source type.
"tableSpec": { # Normal BigQuery table spec. # Spec of a BigQuery table. This field should only be populated if `table_source_type` is `BIGQUERY_TABLE`.
"groupedEntry": "A String", # Output only. If the table is a dated shard, i.e., with name pattern `[prefix]YYYYMMDD`, `grouped_entry` 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.
},
"viewSpec": { # Table view specification. # Table view specification. This field should only be populated if `table_source_type` is `BIGQUERY_VIEW`.
"viewQuery": "A String", # Output only. The query that defines the table view.
},
},
"description": "A String", # Entry description, which can consist of several sentences or paragraphs that describe entry contents. Default value is an empty string.
"displayName": "A String", # Display information such as title and description. A short name to identify the entry, for example, "Analytics Data - Jan 2011". Default value is an empty string.
"gcsFilesetSpec": { # Describes a Cloud Storage fileset entry. # Specification that applies to a Cloud Storage fileset. This is only valid on entries of type FILESET.
"filePatterns": [ # Required. Patterns to identify a set of files in Google Cloud Storage. See [Cloud Storage documentation](https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames) for more information. Note that bucket wildcards are currently not supported. Examples of valid file_patterns: * `gs://bucket_name/dir/*`: matches all files within `bucket_name/dir` directory. * `gs://bucket_name/dir/**`: matches all files in `bucket_name/dir` spanning all subdirectories. * `gs://bucket_name/file*`: matches files prefixed by `file` in `bucket_name` * `gs://bucket_name/??.txt`: matches files with two characters followed by `.txt` in `bucket_name` * `gs://bucket_name/[aeiou].txt`: matches files that contain a single vowel character followed by `.txt` in `bucket_name` * `gs://bucket_name/[a-m].txt`: matches files that contain `a`, `b`, ... or `m` followed by `.txt` in `bucket_name` * `gs://bucket_name/a/*/b`: matches all files in `bucket_name` that match `a/*/b` pattern, such as `a/c/b`, `a/d/b` * `gs://another_bucket/a.txt`: matches `gs://another_bucket/a.txt` You can combine wildcards to provide more powerful matches, for example: * `gs://bucket_name/[a-m]??.j*g`
"A String",
],
"sampleGcsFileSpecs": [ # Output only. Sample files contained in this fileset, not all files contained in this fileset are represented here.
{ # Specifications of a single file in Cloud Storage.
"filePath": "A String", # Required. The full file path. Example: `gs://bucket_name/a/b.txt`.
"gcsTimestamps": { # Timestamps about this resource according to a particular system. # Output only. Timestamps about the Cloud Storage file.
"createTime": "A String", # The creation time of the resource within the given system.
"expireTime": "A String", # Output only. The expiration time of the resource within the given system. Currently only apllicable to BigQuery resources.
"updateTime": "A String", # The last-modified time of the resource within the given system.
},
"sizeBytes": "A String", # Output only. The size of the file, in bytes.
},
],
},
"integratedSystem": "A String", # Output only. This field indicates the entry's source system that Data Catalog integrates with, such as BigQuery or Pub/Sub.
"linkedResource": "A String", # The resource this metadata entry refers to. For Google Cloud Platform resources, `linked_resource` is the [full name of the resource](https://cloud.google.com/apis/design/resource_names#full_resource_name). For example, the `linked_resource` for a table resource from BigQuery is: * //bigquery.googleapis.com/projects/projectId/datasets/datasetId/tables/tableId Output only when Entry is of type in the EntryType enum. For entries with user_specified_type, this field is optional and defaults to an empty string.
"name": "A String", # Output only. The Data Catalog resource name of the entry in URL format. Example: * projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}/entries/{entry_id} Note that this Entry and its child resources may not actually be stored in the location in this name.
"schema": { # Represents a schema (e.g. BigQuery, GoogleSQL, Avro schema). # Schema of the entry. An entry might not have any schema attached to it.
"columns": [ # Required. Schema of columns. A maximum of 10,000 columns and sub-columns can be specified.
{ # Representation of a column within a schema. Columns could be nested inside other columns.
"column": "A String", # Required. Name of the column.
"description": "A String", # Optional. Description of the column. Default value is an empty string.
"mode": "A String", # Optional. A column's mode indicates whether the values in this column are required, nullable, etc. Only `NULLABLE`, `REQUIRED` and `REPEATED` are supported. Default mode is `NULLABLE`.
"subcolumns": [ # Optional. Schema of sub-columns. A column can have zero or more sub-columns.
# Object with schema name: GoogleCloudDatacatalogV1beta1ColumnSchema
],
"type": "A String", # Required. Type of the column.
},
],
},
"sourceSystemTimestamps": { # Timestamps about this resource according to a particular system. # Output only. Timestamps about the underlying resource, not about this Data Catalog entry. Output only when Entry is of type in the EntryType enum. For entries with user_specified_type, this field is optional and defaults to an empty timestamp.
"createTime": "A String", # The creation time of the resource within the given system.
"expireTime": "A String", # Output only. The expiration time of the resource within the given system. Currently only apllicable to BigQuery resources.
"updateTime": "A String", # The last-modified time of the resource within the given system.
},
"type": "A String", # The type of the entry. Only used for Entries with types in the EntryType enum.
"usageSignal": { # The set of all usage signals that we store in Data Catalog. # Output only. Statistics on the usage level of the resource.
"updateTime": "A String", # The timestamp of the end of the usage statistics duration.
"usageWithinTimeRange": { # Usage statistics over each of the pre-defined time ranges, supported strings for time ranges are {"24H", "7D", "30D"}.
"a_key": { # Detailed counts on the entry's usage. Caveats: - Only BigQuery tables have usage stats - The usage stats only include BigQuery query jobs - The usage stats might be underestimated, e.g. wildcard table references are not yet counted in usage computation https://cloud.google.com/bigquery/docs/querying-wildcard-tables
"totalCancellations": 3.14, # The number of times that the underlying entry was attempted to be used but was cancelled by the user.
"totalCompletions": 3.14, # The number of times that the underlying entry was successfully used.
"totalExecutionTimeForCompletionsMillis": 3.14, # Total time spent (in milliseconds) during uses the resulted in completions.
"totalFailures": 3.14, # The number of times that the underlying entry was attempted to be used but failed.
},
},
},
"userSpecifiedSystem": "A String", # This field indicates the entry's source system that Data Catalog does not integrate with. `user_specified_system` strings must begin with a letter or underscore and can only contain letters, numbers, and underscores; are case insensitive; must be at least 1 character and at most 64 characters long.
"userSpecifiedType": "A String", # Entry type if it does not fit any of the input-allowed values listed in `EntryType` enum above. When creating an entry, users should check the enum values first, if nothing matches the entry to be created, then provide a custom value, for example "my_special_type". `user_specified_type` strings must begin with a letter or underscore and can only contain letters, numbers, and underscores; are case insensitive; must be at least 1 character and at most 64 characters long. Currently, only FILESET enum value is allowed. All other entries created through Data Catalog must use `user_specified_type`.
},
],
"nextPageToken": "A String", # Token to retrieve the next page of results. It is set to empty if no items remain in results.
}

list_next(previous_request, previous_response)

Retrieves the next page of results.

Args:
  previous_request: The request for the previous page. (required)
  previous_response: The response from the request for the previous page. (required)

Returns:
  A request object that you can call 'execute()' on to request the next
  page. Returns None if there are no more items in the collection.

patch(name, body=None, updateMask=None, x__xgafv=None)

Updates an existing entry. Users should enable the Data Catalog API in the project identified by the `entry.name` parameter (see [Data Catalog Resource Project] (https://cloud.google.com/data-catalog/docs/concepts/resource-project) for more information).

Args:
name: string, Output only. The Data Catalog resource name of the entry in URL format. Example: * projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}/entries/{entry_id} Note that this Entry and its child resources may not actually be stored in the location in this name. (required)
body: object, The request body.
The object takes the form of:

{ # Entry Metadata. A Data Catalog Entry resource represents another resource in Google Cloud Platform (such as a BigQuery dataset or a Pub/Sub topic), or outside of Google Cloud Platform. Clients can use the `linked_resource` field in the Entry resource to refer to the original resource ID of the source system. An Entry resource contains resource details, such as its schema. An Entry can also be used to attach flexible metadata, such as a Tag.
"bigqueryDateShardedSpec": { # Spec for a group of BigQuery tables with name pattern `[prefix]YYYYMMDD`. Context: https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding # Specification for a group of BigQuery tables with name pattern `[prefix]YYYYMMDD`. Context: https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding.
"dataset": "A String", # Output only. 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}`.
"shardCount": "A String", # Output only. Total number of shards.
"tablePrefix": "A String", # Output only. The table name prefix of the shards. The name of any given shard is `[table_prefix]YYYYMMDD`, for example, for shard `MyTable20180101`, the `table_prefix` is `MyTable`.
},
"bigqueryTableSpec": { # Describes a BigQuery table. # Specification that applies to a BigQuery table. This is only valid on entries of type `TABLE`.
"tableSourceType": "A String", # Output only. The table source type.
"tableSpec": { # Normal BigQuery table spec. # Spec of a BigQuery table. This field should only be populated if `table_source_type` is `BIGQUERY_TABLE`.
"groupedEntry": "A String", # Output only. If the table is a dated shard, i.e., with name pattern `[prefix]YYYYMMDD`, `grouped_entry` 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.
},
"viewSpec": { # Table view specification. # Table view specification. This field should only be populated if `table_source_type` is `BIGQUERY_VIEW`.
"viewQuery": "A String", # Output only. The query that defines the table view.
},
},
"description": "A String", # Entry description, which can consist of several sentences or paragraphs that describe entry contents. Default value is an empty string.
"displayName": "A String", # Display information such as title and description. A short name to identify the entry, for example, "Analytics Data - Jan 2011". Default value is an empty string.
"gcsFilesetSpec": { # Describes a Cloud Storage fileset entry. # Specification that applies to a Cloud Storage fileset. This is only valid on entries of type FILESET.
"filePatterns": [ # Required. Patterns to identify a set of files in Google Cloud Storage. See [Cloud Storage documentation](https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames) for more information. Note that bucket wildcards are currently not supported. Examples of valid file_patterns: * `gs://bucket_name/dir/*`: matches all files within `bucket_name/dir` directory. * `gs://bucket_name/dir/**`: matches all files in `bucket_name/dir` spanning all subdirectories. * `gs://bucket_name/file*`: matches files prefixed by `file` in `bucket_name` * `gs://bucket_name/??.txt`: matches files with two characters followed by `.txt` in `bucket_name` * `gs://bucket_name/[aeiou].txt`: matches files that contain a single vowel character followed by `.txt` in `bucket_name` * `gs://bucket_name/[a-m].txt`: matches files that contain `a`, `b`, ... or `m` followed by `.txt` in `bucket_name` * `gs://bucket_name/a/*/b`: matches all files in `bucket_name` that match `a/*/b` pattern, such as `a/c/b`, `a/d/b` * `gs://another_bucket/a.txt`: matches `gs://another_bucket/a.txt` You can combine wildcards to provide more powerful matches, for example: * `gs://bucket_name/[a-m]??.j*g`
"A String",
],
"sampleGcsFileSpecs": [ # Output only. Sample files contained in this fileset, not all files contained in this fileset are represented here.
{ # Specifications of a single file in Cloud Storage.
"filePath": "A String", # Required. The full file path. Example: `gs://bucket_name/a/b.txt`.
"gcsTimestamps": { # Timestamps about this resource according to a particular system. # Output only. Timestamps about the Cloud Storage file.
"createTime": "A String", # The creation time of the resource within the given system.
"expireTime": "A String", # Output only. The expiration time of the resource within the given system. Currently only apllicable to BigQuery resources.
"updateTime": "A String", # The last-modified time of the resource within the given system.
},
"sizeBytes": "A String", # Output only. The size of the file, in bytes.
},
],
},
"integratedSystem": "A String", # Output only. This field indicates the entry's source system that Data Catalog integrates with, such as BigQuery or Pub/Sub.
"linkedResource": "A String", # The resource this metadata entry refers to. For Google Cloud Platform resources, `linked_resource` is the [full name of the resource](https://cloud.google.com/apis/design/resource_names#full_resource_name). For example, the `linked_resource` for a table resource from BigQuery is: * //bigquery.googleapis.com/projects/projectId/datasets/datasetId/tables/tableId Output only when Entry is of type in the EntryType enum. For entries with user_specified_type, this field is optional and defaults to an empty string.
"name": "A String", # Output only. The Data Catalog resource name of the entry in URL format. Example: * projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}/entries/{entry_id} Note that this Entry and its child resources may not actually be stored in the location in this name.
"schema": { # Represents a schema (e.g. BigQuery, GoogleSQL, Avro schema). # Schema of the entry. An entry might not have any schema attached to it.
"columns": [ # Required. Schema of columns. A maximum of 10,000 columns and sub-columns can be specified.
{ # Representation of a column within a schema. Columns could be nested inside other columns.
"column": "A String", # Required. Name of the column.
"description": "A String", # Optional. Description of the column. Default value is an empty string.
"mode": "A String", # Optional. A column's mode indicates whether the values in this column are required, nullable, etc. Only `NULLABLE`, `REQUIRED` and `REPEATED` are supported. Default mode is `NULLABLE`.
"subcolumns": [ # Optional. Schema of sub-columns. A column can have zero or more sub-columns.
# Object with schema name: GoogleCloudDatacatalogV1beta1ColumnSchema
],
"type": "A String", # Required. Type of the column.
},
],
},
"sourceSystemTimestamps": { # Timestamps about this resource according to a particular system. # Output only. Timestamps about the underlying resource, not about this Data Catalog entry. Output only when Entry is of type in the EntryType enum. For entries with user_specified_type, this field is optional and defaults to an empty timestamp.
"createTime": "A String", # The creation time of the resource within the given system.
"expireTime": "A String", # Output only. The expiration time of the resource within the given system. Currently only apllicable to BigQuery resources.
"updateTime": "A String", # The last-modified time of the resource within the given system.
},
"type": "A String", # The type of the entry. Only used for Entries with types in the EntryType enum.
"usageSignal": { # The set of all usage signals that we store in Data Catalog. # Output only. Statistics on the usage level of the resource.
"updateTime": "A String", # The timestamp of the end of the usage statistics duration.
"usageWithinTimeRange": { # Usage statistics over each of the pre-defined time ranges, supported strings for time ranges are {"24H", "7D", "30D"}.
"a_key": { # Detailed counts on the entry's usage. Caveats: - Only BigQuery tables have usage stats - The usage stats only include BigQuery query jobs - The usage stats might be underestimated, e.g. wildcard table references are not yet counted in usage computation https://cloud.google.com/bigquery/docs/querying-wildcard-tables
"totalCancellations": 3.14, # The number of times that the underlying entry was attempted to be used but was cancelled by the user.
"totalCompletions": 3.14, # The number of times that the underlying entry was successfully used.
"totalExecutionTimeForCompletionsMillis": 3.14, # Total time spent (in milliseconds) during uses the resulted in completions.
"totalFailures": 3.14, # The number of times that the underlying entry was attempted to be used but failed.
},
},
},
"userSpecifiedSystem": "A String", # This field indicates the entry's source system that Data Catalog does not integrate with. `user_specified_system` strings must begin with a letter or underscore and can only contain letters, numbers, and underscores; are case insensitive; must be at least 1 character and at most 64 characters long.
"userSpecifiedType": "A String", # Entry type if it does not fit any of the input-allowed values listed in `EntryType` enum above. When creating an entry, users should check the enum values first, if nothing matches the entry to be created, then provide a custom value, for example "my_special_type". `user_specified_type` strings must begin with a letter or underscore and can only contain letters, numbers, and underscores; are case insensitive; must be at least 1 character and at most 64 characters long. Currently, only FILESET enum value is allowed. All other entries created through Data Catalog must use `user_specified_type`.
}

updateMask: string, Names of fields whose values to overwrite on an entry. If this parameter is absent or empty, all modifiable fields are overwritten. If such fields are non-required and omitted in the request body, their values are emptied. The following fields are modifiable: * For entries with type `DATA_STREAM`: * `schema` * For entries with type `FILESET`: * `schema` * `display_name` * `description` * `gcs_fileset_spec` * `gcs_fileset_spec.file_patterns` * For entries with `user_specified_type`: * `schema` * `display_name` * `description` * `user_specified_type` * `user_specified_system` * `linked_resource` * `source_system_timestamps`
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Entry Metadata. A Data Catalog Entry resource represents another resource in Google Cloud Platform (such as a BigQuery dataset or a Pub/Sub topic), or outside of Google Cloud Platform. Clients can use the `linked_resource` field in the Entry resource to refer to the original resource ID of the source system. An Entry resource contains resource details, such as its schema. An Entry can also be used to attach flexible metadata, such as a Tag.
"bigqueryDateShardedSpec": { # Spec for a group of BigQuery tables with name pattern `[prefix]YYYYMMDD`. Context: https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding # Specification for a group of BigQuery tables with name pattern `[prefix]YYYYMMDD`. Context: https://cloud.google.com/bigquery/docs/partitioned-tables#partitioning_versus_sharding.
"dataset": "A String", # Output only. 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}`.
"shardCount": "A String", # Output only. Total number of shards.
"tablePrefix": "A String", # Output only. The table name prefix of the shards. The name of any given shard is `[table_prefix]YYYYMMDD`, for example, for shard `MyTable20180101`, the `table_prefix` is `MyTable`.
},
"bigqueryTableSpec": { # Describes a BigQuery table. # Specification that applies to a BigQuery table. This is only valid on entries of type `TABLE`.
"tableSourceType": "A String", # Output only. The table source type.
"tableSpec": { # Normal BigQuery table spec. # Spec of a BigQuery table. This field should only be populated if `table_source_type` is `BIGQUERY_TABLE`.
"groupedEntry": "A String", # Output only. If the table is a dated shard, i.e., with name pattern `[prefix]YYYYMMDD`, `grouped_entry` 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.
},
"viewSpec": { # Table view specification. # Table view specification. This field should only be populated if `table_source_type` is `BIGQUERY_VIEW`.
"viewQuery": "A String", # Output only. The query that defines the table view.
},
},
"description": "A String", # Entry description, which can consist of several sentences or paragraphs that describe entry contents. Default value is an empty string.
"displayName": "A String", # Display information such as title and description. A short name to identify the entry, for example, "Analytics Data - Jan 2011". Default value is an empty string.
"gcsFilesetSpec": { # Describes a Cloud Storage fileset entry. # Specification that applies to a Cloud Storage fileset. This is only valid on entries of type FILESET.
"filePatterns": [ # Required. Patterns to identify a set of files in Google Cloud Storage. See [Cloud Storage documentation](https://cloud.google.com/storage/docs/gsutil/addlhelp/WildcardNames) for more information. Note that bucket wildcards are currently not supported. Examples of valid file_patterns: * `gs://bucket_name/dir/*`: matches all files within `bucket_name/dir` directory. * `gs://bucket_name/dir/**`: matches all files in `bucket_name/dir` spanning all subdirectories. * `gs://bucket_name/file*`: matches files prefixed by `file` in `bucket_name` * `gs://bucket_name/??.txt`: matches files with two characters followed by `.txt` in `bucket_name` * `gs://bucket_name/[aeiou].txt`: matches files that contain a single vowel character followed by `.txt` in `bucket_name` * `gs://bucket_name/[a-m].txt`: matches files that contain `a`, `b`, ... or `m` followed by `.txt` in `bucket_name` * `gs://bucket_name/a/*/b`: matches all files in `bucket_name` that match `a/*/b` pattern, such as `a/c/b`, `a/d/b` * `gs://another_bucket/a.txt`: matches `gs://another_bucket/a.txt` You can combine wildcards to provide more powerful matches, for example: * `gs://bucket_name/[a-m]??.j*g`
"A String",
],
"sampleGcsFileSpecs": [ # Output only. Sample files contained in this fileset, not all files contained in this fileset are represented here.
{ # Specifications of a single file in Cloud Storage.
"filePath": "A String", # Required. The full file path. Example: `gs://bucket_name/a/b.txt`.
"gcsTimestamps": { # Timestamps about this resource according to a particular system. # Output only. Timestamps about the Cloud Storage file.
"createTime": "A String", # The creation time of the resource within the given system.
"expireTime": "A String", # Output only. The expiration time of the resource within the given system. Currently only apllicable to BigQuery resources.
"updateTime": "A String", # The last-modified time of the resource within the given system.
},
"sizeBytes": "A String", # Output only. The size of the file, in bytes.
},
],
},
"integratedSystem": "A String", # Output only. This field indicates the entry's source system that Data Catalog integrates with, such as BigQuery or Pub/Sub.
"linkedResource": "A String", # The resource this metadata entry refers to. For Google Cloud Platform resources, `linked_resource` is the [full name of the resource](https://cloud.google.com/apis/design/resource_names#full_resource_name). For example, the `linked_resource` for a table resource from BigQuery is: * //bigquery.googleapis.com/projects/projectId/datasets/datasetId/tables/tableId Output only when Entry is of type in the EntryType enum. For entries with user_specified_type, this field is optional and defaults to an empty string.
"name": "A String", # Output only. The Data Catalog resource name of the entry in URL format. Example: * projects/{project_id}/locations/{location}/entryGroups/{entry_group_id}/entries/{entry_id} Note that this Entry and its child resources may not actually be stored in the location in this name.
"schema": { # Represents a schema (e.g. BigQuery, GoogleSQL, Avro schema). # Schema of the entry. An entry might not have any schema attached to it.
"columns": [ # Required. Schema of columns. A maximum of 10,000 columns and sub-columns can be specified.
{ # Representation of a column within a schema. Columns could be nested inside other columns.
"column": "A String", # Required. Name of the column.
"description": "A String", # Optional. Description of the column. Default value is an empty string.
"mode": "A String", # Optional. A column's mode indicates whether the values in this column are required, nullable, etc. Only `NULLABLE`, `REQUIRED` and `REPEATED` are supported. Default mode is `NULLABLE`.
"subcolumns": [ # Optional. Schema of sub-columns. A column can have zero or more sub-columns.
# Object with schema name: GoogleCloudDatacatalogV1beta1ColumnSchema
],
"type": "A String", # Required. Type of the column.
},
],
},
"sourceSystemTimestamps": { # Timestamps about this resource according to a particular system. # Output only. Timestamps about the underlying resource, not about this Data Catalog entry. Output only when Entry is of type in the EntryType enum. For entries with user_specified_type, this field is optional and defaults to an empty timestamp.
"createTime": "A String", # The creation time of the resource within the given system.
"expireTime": "A String", # Output only. The expiration time of the resource within the given system. Currently only apllicable to BigQuery resources.
"updateTime": "A String", # The last-modified time of the resource within the given system.
},
"type": "A String", # The type of the entry. Only used for Entries with types in the EntryType enum.
"usageSignal": { # The set of all usage signals that we store in Data Catalog. # Output only. Statistics on the usage level of the resource.
"updateTime": "A String", # The timestamp of the end of the usage statistics duration.
"usageWithinTimeRange": { # Usage statistics over each of the pre-defined time ranges, supported strings for time ranges are {"24H", "7D", "30D"}.
"a_key": { # Detailed counts on the entry's usage. Caveats: - Only BigQuery tables have usage stats - The usage stats only include BigQuery query jobs - The usage stats might be underestimated, e.g. wildcard table references are not yet counted in usage computation https://cloud.google.com/bigquery/docs/querying-wildcard-tables
"totalCancellations": 3.14, # The number of times that the underlying entry was attempted to be used but was cancelled by the user.
"totalCompletions": 3.14, # The number of times that the underlying entry was successfully used.
"totalExecutionTimeForCompletionsMillis": 3.14, # Total time spent (in milliseconds) during uses the resulted in completions.
"totalFailures": 3.14, # The number of times that the underlying entry was attempted to be used but failed.
},
},
},
"userSpecifiedSystem": "A String", # This field indicates the entry's source system that Data Catalog does not integrate with. `user_specified_system` strings must begin with a letter or underscore and can only contain letters, numbers, and underscores; are case insensitive; must be at least 1 character and at most 64 characters long.
"userSpecifiedType": "A String", # Entry type if it does not fit any of the input-allowed values listed in `EntryType` enum above. When creating an entry, users should check the enum values first, if nothing matches the entry to be created, then provide a custom value, for example "my_special_type". `user_specified_type` strings must begin with a letter or underscore and can only contain letters, numbers, and underscores; are case insensitive; must be at least 1 character and at most 64 characters long. Currently, only FILESET enum value is allowed. All other entries created through Data Catalog must use `user_specified_type`.
}

testIamPermissions(resource, body=None, x__xgafv=None)

Returns the caller's permissions on a resource. If the resource does not exist, an empty set of permissions is returned (We don't return a `NOT_FOUND` error). Supported resources are: - Tag templates. - Entries. - Entry groups. Note, this method cannot be used to manage policies for BigQuery, Pub/Sub and any external Google Cloud Platform resources synced to Data Catalog. A caller is not required to have Google IAM permission to make this request.

Args:
  resource: string, REQUIRED: The resource for which the policy detail is being requested. See the operation documentation for the appropriate value for this field. (required)
  body: object, The request body.
    The object takes the form of:

{ # Request message for `TestIamPermissions` method.
  "permissions": [ # The set of permissions to check for the `resource`. Permissions with wildcards (such as '*' or 'storage.*') are not allowed. For more information see [IAM Overview](https://cloud.google.com/iam/docs/overview#permissions).
    "A String",
  ],
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Response message for `TestIamPermissions` method.
  "permissions": [ # A subset of `TestPermissionsRequest.permissions` that the caller is allowed.
    "A String",
  ],
}

Google Cloud Data Catalog API . projects . locations . entryGroups . entries

Instance Methods

Method Details