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## Discovery Artifact Change Summary:
datacatalogv1beta1[ [More details]](c26eace)
chore(classroom): update the api
feat(datacatalog): update the api
chore(metastore): update the api
chore(tpu): update the api
chore(docs): Add new discovery artifacts and reference documents
Copy file name to clipboardExpand all lines: docs/dyn/bigtableadmin_v2.projects.locations.html
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Args:
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name: string, The resource that owns the locations collection, if applicable. (required)
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filter: string, A filter to narrow down results to a preferred subset. The filtering language accepts strings like "displayName=tokyo", and is documented in more detail in [AIP-160](https://google.aip.dev/160).
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pageSize: integer, The maximum number of results to return. If not set, the service selects a default.
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pageSize: integer, The maximum number of results to return. If not set, the service will select a default.
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pageToken: string, A page token received from the `next_page_token` field in the response. Send that page token to receive the subsequent page.
Copy file name to clipboardExpand all lines: docs/dyn/datacatalog_v1beta1.entries.html
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"updateTime": "A String", # The last-modified time of the resource within the given system.
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},
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"type": "A String", # The type of the entry. Only used for Entries with types in the EntryType enum.
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"usageSignal": { # The set of all usage signals that we store in Data Catalog. # Output only. Statistics on the usage level of the resource.
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"updateTime": "A String", # The timestamp of the end of the usage statistics duration.
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"usageWithinTimeRange": { # Usage statistics over each of the pre-defined time ranges, supported strings for time ranges are {"24H", "7D", "30D"}.
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"a_key": { # Detailed counts on the entry's usage. Caveats: - Only BigQuery tables have usage stats - The usage stats only inlude 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
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"totalCancellations": 3.14, # The number of times that the underlying entry was attempted to be used but was cancelled by the user.
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"totalCompletions": 3.14, # The number of times that the underlying entry was successfully used.
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"totalExecutionTimeForCompletionsMillis": 3.14, # Total time spent (in milliseconds) during uses the resulted in completions.
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"totalFailures": 3.14, # The number of times that the underlying entry was attempted to be used but failed.
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},
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},
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},
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"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.
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"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`.
Copy file name to clipboardExpand all lines: docs/dyn/dlp_v2.organizations.deidentifyTemplates.html
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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},
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"name": "A String", # Name describing the field.
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},
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"name": "A String", # Name describing the field.
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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},
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"name": "A String", # Name describing the field.
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"name": "A String", # Name describing the field.
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"name": "A String", # Name describing the field.
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"name": "A String", # Name describing the field.
Copy file name to clipboardExpand all lines: docs/dyn/dlp_v2.organizations.locations.deidentifyTemplates.html
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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},
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"name": "A String", # Name describing the field.
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"name": "A String", # Name describing the field.
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"name": "A String", # Name describing the field.
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"name": "A String", # Name describing the field.
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"name": "A String", # Name describing the field.
Copy file name to clipboardExpand all lines: docs/dyn/dlp_v2.projects.content.html
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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"logicalOperator": "A String", # The operator to apply to the result of conditions. Default and currently only supported value is `AND`.
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"fields": [ # Required. Input field(s) to apply the transformation to. When you have columns that reference their position within a list, omit the index from the FieldId. FieldId name matching ignores the index. For example, instead of "contact.nums[0].type", use "contact.nums.type".
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"fields": [ # Required. Input field(s) to apply the transformation to.
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{ # General identifier of a data field in a storage service.
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"name": "A String", # Name describing the field.
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