Class BigQueryDestination.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<BigQueryDestination.Builder>
com.google.cloud.asset.v1.BigQueryDestination.Builder
All Implemented Interfaces:
BigQueryDestinationOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
BigQueryDestination

public static final class BigQueryDestination.Builder extends com.google.protobuf.GeneratedMessage.Builder<BigQueryDestination.Builder> implements BigQueryDestinationOrBuilder
 A BigQuery destination for exporting assets to.
 
Protobuf type google.cloud.asset.v1.BigQueryDestination
  • Method Details

    • getDescriptor

      public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage.Builder<BigQueryDestination.Builder>
    • clear

      Specified by:
      clear in interface com.google.protobuf.Message.Builder
      Specified by:
      clear in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      clear in class com.google.protobuf.GeneratedMessage.Builder<BigQueryDestination.Builder>
    • getDescriptorForType

      public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
      Specified by:
      getDescriptorForType in interface com.google.protobuf.Message.Builder
      Specified by:
      getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
      Overrides:
      getDescriptorForType in class com.google.protobuf.GeneratedMessage.Builder<BigQueryDestination.Builder>
    • getDefaultInstanceForType

      public BigQueryDestination getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder
    • build

      public BigQueryDestination build()
      Specified by:
      build in interface com.google.protobuf.Message.Builder
      Specified by:
      build in interface com.google.protobuf.MessageLite.Builder
    • buildPartial

      public BigQueryDestination buildPartial()
      Specified by:
      buildPartial in interface com.google.protobuf.Message.Builder
      Specified by:
      buildPartial in interface com.google.protobuf.MessageLite.Builder
    • mergeFrom

      public BigQueryDestination.Builder mergeFrom(com.google.protobuf.Message other)
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<BigQueryDestination.Builder>
    • mergeFrom

    • isInitialized

      public final boolean isInitialized()
      Specified by:
      isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
      Overrides:
      isInitialized in class com.google.protobuf.GeneratedMessage.Builder<BigQueryDestination.Builder>
    • mergeFrom

      public BigQueryDestination.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Specified by:
      mergeFrom in interface com.google.protobuf.Message.Builder
      Specified by:
      mergeFrom in interface com.google.protobuf.MessageLite.Builder
      Overrides:
      mergeFrom in class com.google.protobuf.AbstractMessage.Builder<BigQueryDestination.Builder>
      Throws:
      IOException
    • getDataset

      public String getDataset()
       Required. The BigQuery dataset in format
       "projects/projectId/datasets/datasetId", to which the snapshot result
       should be exported. If this dataset does not exist, the export call returns
       an INVALID_ARGUMENT error. Setting the `contentType` for `exportAssets`
       determines the
       [schema](/asset-inventory/docs/exporting-to-bigquery#bigquery-schema)
       of the BigQuery table. Setting `separateTablesPerAssetType` to `TRUE` also
       influences the schema.
       
      string dataset = 1 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getDataset in interface BigQueryDestinationOrBuilder
      Returns:
      The dataset.
    • getDatasetBytes

      public com.google.protobuf.ByteString getDatasetBytes()
       Required. The BigQuery dataset in format
       "projects/projectId/datasets/datasetId", to which the snapshot result
       should be exported. If this dataset does not exist, the export call returns
       an INVALID_ARGUMENT error. Setting the `contentType` for `exportAssets`
       determines the
       [schema](/asset-inventory/docs/exporting-to-bigquery#bigquery-schema)
       of the BigQuery table. Setting `separateTablesPerAssetType` to `TRUE` also
       influences the schema.
       
      string dataset = 1 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getDatasetBytes in interface BigQueryDestinationOrBuilder
      Returns:
      The bytes for dataset.
    • setDataset

      public BigQueryDestination.Builder setDataset(String value)
       Required. The BigQuery dataset in format
       "projects/projectId/datasets/datasetId", to which the snapshot result
       should be exported. If this dataset does not exist, the export call returns
       an INVALID_ARGUMENT error. Setting the `contentType` for `exportAssets`
       determines the
       [schema](/asset-inventory/docs/exporting-to-bigquery#bigquery-schema)
       of the BigQuery table. Setting `separateTablesPerAssetType` to `TRUE` also
       influences the schema.
       
      string dataset = 1 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      value - The dataset to set.
      Returns:
      This builder for chaining.
    • clearDataset

      public BigQueryDestination.Builder clearDataset()
       Required. The BigQuery dataset in format
       "projects/projectId/datasets/datasetId", to which the snapshot result
       should be exported. If this dataset does not exist, the export call returns
       an INVALID_ARGUMENT error. Setting the `contentType` for `exportAssets`
       determines the
       [schema](/asset-inventory/docs/exporting-to-bigquery#bigquery-schema)
       of the BigQuery table. Setting `separateTablesPerAssetType` to `TRUE` also
       influences the schema.
       
      string dataset = 1 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      This builder for chaining.
    • setDatasetBytes

      public BigQueryDestination.Builder setDatasetBytes(com.google.protobuf.ByteString value)
       Required. The BigQuery dataset in format
       "projects/projectId/datasets/datasetId", to which the snapshot result
       should be exported. If this dataset does not exist, the export call returns
       an INVALID_ARGUMENT error. Setting the `contentType` for `exportAssets`
       determines the
       [schema](/asset-inventory/docs/exporting-to-bigquery#bigquery-schema)
       of the BigQuery table. Setting `separateTablesPerAssetType` to `TRUE` also
       influences the schema.
       
      string dataset = 1 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      value - The bytes for dataset to set.
      Returns:
      This builder for chaining.
    • getTable

      public String getTable()
       Required. The BigQuery table to which the snapshot result should be
       written. If this table does not exist, a new table with the given name
       will be created.
       
      string table = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getTable in interface BigQueryDestinationOrBuilder
      Returns:
      The table.
    • getTableBytes

      public com.google.protobuf.ByteString getTableBytes()
       Required. The BigQuery table to which the snapshot result should be
       written. If this table does not exist, a new table with the given name
       will be created.
       
      string table = 2 [(.google.api.field_behavior) = REQUIRED];
      Specified by:
      getTableBytes in interface BigQueryDestinationOrBuilder
      Returns:
      The bytes for table.
    • setTable

      public BigQueryDestination.Builder setTable(String value)
       Required. The BigQuery table to which the snapshot result should be
       written. If this table does not exist, a new table with the given name
       will be created.
       
      string table = 2 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      value - The table to set.
      Returns:
      This builder for chaining.
    • clearTable

      public BigQueryDestination.Builder clearTable()
       Required. The BigQuery table to which the snapshot result should be
       written. If this table does not exist, a new table with the given name
       will be created.
       
      string table = 2 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      This builder for chaining.
    • setTableBytes

      public BigQueryDestination.Builder setTableBytes(com.google.protobuf.ByteString value)
       Required. The BigQuery table to which the snapshot result should be
       written. If this table does not exist, a new table with the given name
       will be created.
       
      string table = 2 [(.google.api.field_behavior) = REQUIRED];
      Parameters:
      value - The bytes for table to set.
      Returns:
      This builder for chaining.
    • getForce

      public boolean getForce()
       If the destination table already exists and this flag is `TRUE`, the
       table will be overwritten by the contents of assets snapshot. If the flag
       is `FALSE` or unset and the destination table already exists, the export
       call returns an INVALID_ARGUMEMT error.
       
      bool force = 3;
      Specified by:
      getForce in interface BigQueryDestinationOrBuilder
      Returns:
      The force.
    • setForce

      public BigQueryDestination.Builder setForce(boolean value)
       If the destination table already exists and this flag is `TRUE`, the
       table will be overwritten by the contents of assets snapshot. If the flag
       is `FALSE` or unset and the destination table already exists, the export
       call returns an INVALID_ARGUMEMT error.
       
      bool force = 3;
      Parameters:
      value - The force to set.
      Returns:
      This builder for chaining.
    • clearForce

      public BigQueryDestination.Builder clearForce()
       If the destination table already exists and this flag is `TRUE`, the
       table will be overwritten by the contents of assets snapshot. If the flag
       is `FALSE` or unset and the destination table already exists, the export
       call returns an INVALID_ARGUMEMT error.
       
      bool force = 3;
      Returns:
      This builder for chaining.
    • hasPartitionSpec

      public boolean hasPartitionSpec()
       [partition_spec] determines whether to export to partitioned table(s) and
       how to partition the data.
      
       If [partition_spec] is unset or [partition_spec.partition_key] is unset or
       `PARTITION_KEY_UNSPECIFIED`, the snapshot results will be exported to
       non-partitioned table(s). [force] will decide whether to overwrite existing
       table(s).
      
       If [partition_spec] is specified. First, the snapshot results will be
       written to partitioned table(s) with two additional timestamp columns,
       readTime and requestTime, one of which will be the partition key. Secondly,
       in the case when any destination table already exists, it will first try to
       update existing table's schema as necessary by appending additional
       columns. Then, if [force] is `TRUE`, the corresponding partition will be
       overwritten by the snapshot results (data in different partitions will
       remain intact); if [force] is unset or `FALSE`, it will append the data. An
       error will be returned if the schema update or data appension fails.
       
      .google.cloud.asset.v1.PartitionSpec partition_spec = 4;
      Specified by:
      hasPartitionSpec in interface BigQueryDestinationOrBuilder
      Returns:
      Whether the partitionSpec field is set.
    • getPartitionSpec

      public PartitionSpec getPartitionSpec()
       [partition_spec] determines whether to export to partitioned table(s) and
       how to partition the data.
      
       If [partition_spec] is unset or [partition_spec.partition_key] is unset or
       `PARTITION_KEY_UNSPECIFIED`, the snapshot results will be exported to
       non-partitioned table(s). [force] will decide whether to overwrite existing
       table(s).
      
       If [partition_spec] is specified. First, the snapshot results will be
       written to partitioned table(s) with two additional timestamp columns,
       readTime and requestTime, one of which will be the partition key. Secondly,
       in the case when any destination table already exists, it will first try to
       update existing table's schema as necessary by appending additional
       columns. Then, if [force] is `TRUE`, the corresponding partition will be
       overwritten by the snapshot results (data in different partitions will
       remain intact); if [force] is unset or `FALSE`, it will append the data. An
       error will be returned if the schema update or data appension fails.
       
      .google.cloud.asset.v1.PartitionSpec partition_spec = 4;
      Specified by:
      getPartitionSpec in interface BigQueryDestinationOrBuilder
      Returns:
      The partitionSpec.
    • setPartitionSpec

      public BigQueryDestination.Builder setPartitionSpec(PartitionSpec value)
       [partition_spec] determines whether to export to partitioned table(s) and
       how to partition the data.
      
       If [partition_spec] is unset or [partition_spec.partition_key] is unset or
       `PARTITION_KEY_UNSPECIFIED`, the snapshot results will be exported to
       non-partitioned table(s). [force] will decide whether to overwrite existing
       table(s).
      
       If [partition_spec] is specified. First, the snapshot results will be
       written to partitioned table(s) with two additional timestamp columns,
       readTime and requestTime, one of which will be the partition key. Secondly,
       in the case when any destination table already exists, it will first try to
       update existing table's schema as necessary by appending additional
       columns. Then, if [force] is `TRUE`, the corresponding partition will be
       overwritten by the snapshot results (data in different partitions will
       remain intact); if [force] is unset or `FALSE`, it will append the data. An
       error will be returned if the schema update or data appension fails.
       
      .google.cloud.asset.v1.PartitionSpec partition_spec = 4;
    • setPartitionSpec

      public BigQueryDestination.Builder setPartitionSpec(PartitionSpec.Builder builderForValue)
       [partition_spec] determines whether to export to partitioned table(s) and
       how to partition the data.
      
       If [partition_spec] is unset or [partition_spec.partition_key] is unset or
       `PARTITION_KEY_UNSPECIFIED`, the snapshot results will be exported to
       non-partitioned table(s). [force] will decide whether to overwrite existing
       table(s).
      
       If [partition_spec] is specified. First, the snapshot results will be
       written to partitioned table(s) with two additional timestamp columns,
       readTime and requestTime, one of which will be the partition key. Secondly,
       in the case when any destination table already exists, it will first try to
       update existing table's schema as necessary by appending additional
       columns. Then, if [force] is `TRUE`, the corresponding partition will be
       overwritten by the snapshot results (data in different partitions will
       remain intact); if [force] is unset or `FALSE`, it will append the data. An
       error will be returned if the schema update or data appension fails.
       
      .google.cloud.asset.v1.PartitionSpec partition_spec = 4;
    • mergePartitionSpec

      public BigQueryDestination.Builder mergePartitionSpec(PartitionSpec value)
       [partition_spec] determines whether to export to partitioned table(s) and
       how to partition the data.
      
       If [partition_spec] is unset or [partition_spec.partition_key] is unset or
       `PARTITION_KEY_UNSPECIFIED`, the snapshot results will be exported to
       non-partitioned table(s). [force] will decide whether to overwrite existing
       table(s).
      
       If [partition_spec] is specified. First, the snapshot results will be
       written to partitioned table(s) with two additional timestamp columns,
       readTime and requestTime, one of which will be the partition key. Secondly,
       in the case when any destination table already exists, it will first try to
       update existing table's schema as necessary by appending additional
       columns. Then, if [force] is `TRUE`, the corresponding partition will be
       overwritten by the snapshot results (data in different partitions will
       remain intact); if [force] is unset or `FALSE`, it will append the data. An
       error will be returned if the schema update or data appension fails.
       
      .google.cloud.asset.v1.PartitionSpec partition_spec = 4;
    • clearPartitionSpec

      public BigQueryDestination.Builder clearPartitionSpec()
       [partition_spec] determines whether to export to partitioned table(s) and
       how to partition the data.
      
       If [partition_spec] is unset or [partition_spec.partition_key] is unset or
       `PARTITION_KEY_UNSPECIFIED`, the snapshot results will be exported to
       non-partitioned table(s). [force] will decide whether to overwrite existing
       table(s).
      
       If [partition_spec] is specified. First, the snapshot results will be
       written to partitioned table(s) with two additional timestamp columns,
       readTime and requestTime, one of which will be the partition key. Secondly,
       in the case when any destination table already exists, it will first try to
       update existing table's schema as necessary by appending additional
       columns. Then, if [force] is `TRUE`, the corresponding partition will be
       overwritten by the snapshot results (data in different partitions will
       remain intact); if [force] is unset or `FALSE`, it will append the data. An
       error will be returned if the schema update or data appension fails.
       
      .google.cloud.asset.v1.PartitionSpec partition_spec = 4;
    • getPartitionSpecBuilder

      public PartitionSpec.Builder getPartitionSpecBuilder()
       [partition_spec] determines whether to export to partitioned table(s) and
       how to partition the data.
      
       If [partition_spec] is unset or [partition_spec.partition_key] is unset or
       `PARTITION_KEY_UNSPECIFIED`, the snapshot results will be exported to
       non-partitioned table(s). [force] will decide whether to overwrite existing
       table(s).
      
       If [partition_spec] is specified. First, the snapshot results will be
       written to partitioned table(s) with two additional timestamp columns,
       readTime and requestTime, one of which will be the partition key. Secondly,
       in the case when any destination table already exists, it will first try to
       update existing table's schema as necessary by appending additional
       columns. Then, if [force] is `TRUE`, the corresponding partition will be
       overwritten by the snapshot results (data in different partitions will
       remain intact); if [force] is unset or `FALSE`, it will append the data. An
       error will be returned if the schema update or data appension fails.
       
      .google.cloud.asset.v1.PartitionSpec partition_spec = 4;
    • getPartitionSpecOrBuilder

      public PartitionSpecOrBuilder getPartitionSpecOrBuilder()
       [partition_spec] determines whether to export to partitioned table(s) and
       how to partition the data.
      
       If [partition_spec] is unset or [partition_spec.partition_key] is unset or
       `PARTITION_KEY_UNSPECIFIED`, the snapshot results will be exported to
       non-partitioned table(s). [force] will decide whether to overwrite existing
       table(s).
      
       If [partition_spec] is specified. First, the snapshot results will be
       written to partitioned table(s) with two additional timestamp columns,
       readTime and requestTime, one of which will be the partition key. Secondly,
       in the case when any destination table already exists, it will first try to
       update existing table's schema as necessary by appending additional
       columns. Then, if [force] is `TRUE`, the corresponding partition will be
       overwritten by the snapshot results (data in different partitions will
       remain intact); if [force] is unset or `FALSE`, it will append the data. An
       error will be returned if the schema update or data appension fails.
       
      .google.cloud.asset.v1.PartitionSpec partition_spec = 4;
      Specified by:
      getPartitionSpecOrBuilder in interface BigQueryDestinationOrBuilder
    • getSeparateTablesPerAssetType

      public boolean getSeparateTablesPerAssetType()
       If this flag is `TRUE`, the snapshot results will be written to one or
       multiple tables, each of which contains results of one asset type. The
       [force] and [partition_spec] fields will apply to each of them.
      
       Field [table] will be concatenated with "_" and the asset type names (see
       https://cloud.google.com/asset-inventory/docs/supported-asset-types for
       supported asset types) to construct per-asset-type table names, in which
       all non-alphanumeric characters like "." and "/" will be substituted by
       "_". Example: if field [table] is "mytable" and snapshot results
       contain "storage.googleapis.com/Bucket" assets, the corresponding table
       name will be "mytable_storage_googleapis_com_Bucket". If any of these
       tables does not exist, a new table with the concatenated name will be
       created.
      
       When [content_type] in the ExportAssetsRequest is `RESOURCE`, the schema of
       each table will include RECORD-type columns mapped to the nested fields in
       the Asset.resource.data field of that asset type (up to the 15 nested level
       BigQuery supports
       (https://cloud.google.com/bigquery/docs/nested-repeated#limitations)). The
       fields in >15 nested levels will be stored in JSON format string as a child
       column of its parent RECORD column.
      
       If error occurs when exporting to any table, the whole export call will
       return an error but the export results that already succeed will persist.
       Example: if exporting to table_type_A succeeds when exporting to
       table_type_B fails during one export call, the results in table_type_A will
       persist and there will not be partial results persisting in a table.
       
      bool separate_tables_per_asset_type = 5;
      Specified by:
      getSeparateTablesPerAssetType in interface BigQueryDestinationOrBuilder
      Returns:
      The separateTablesPerAssetType.
    • setSeparateTablesPerAssetType

      public BigQueryDestination.Builder setSeparateTablesPerAssetType(boolean value)
       If this flag is `TRUE`, the snapshot results will be written to one or
       multiple tables, each of which contains results of one asset type. The
       [force] and [partition_spec] fields will apply to each of them.
      
       Field [table] will be concatenated with "_" and the asset type names (see
       https://cloud.google.com/asset-inventory/docs/supported-asset-types for
       supported asset types) to construct per-asset-type table names, in which
       all non-alphanumeric characters like "." and "/" will be substituted by
       "_". Example: if field [table] is "mytable" and snapshot results
       contain "storage.googleapis.com/Bucket" assets, the corresponding table
       name will be "mytable_storage_googleapis_com_Bucket". If any of these
       tables does not exist, a new table with the concatenated name will be
       created.
      
       When [content_type] in the ExportAssetsRequest is `RESOURCE`, the schema of
       each table will include RECORD-type columns mapped to the nested fields in
       the Asset.resource.data field of that asset type (up to the 15 nested level
       BigQuery supports
       (https://cloud.google.com/bigquery/docs/nested-repeated#limitations)). The
       fields in >15 nested levels will be stored in JSON format string as a child
       column of its parent RECORD column.
      
       If error occurs when exporting to any table, the whole export call will
       return an error but the export results that already succeed will persist.
       Example: if exporting to table_type_A succeeds when exporting to
       table_type_B fails during one export call, the results in table_type_A will
       persist and there will not be partial results persisting in a table.
       
      bool separate_tables_per_asset_type = 5;
      Parameters:
      value - The separateTablesPerAssetType to set.
      Returns:
      This builder for chaining.
    • clearSeparateTablesPerAssetType

      public BigQueryDestination.Builder clearSeparateTablesPerAssetType()
       If this flag is `TRUE`, the snapshot results will be written to one or
       multiple tables, each of which contains results of one asset type. The
       [force] and [partition_spec] fields will apply to each of them.
      
       Field [table] will be concatenated with "_" and the asset type names (see
       https://cloud.google.com/asset-inventory/docs/supported-asset-types for
       supported asset types) to construct per-asset-type table names, in which
       all non-alphanumeric characters like "." and "/" will be substituted by
       "_". Example: if field [table] is "mytable" and snapshot results
       contain "storage.googleapis.com/Bucket" assets, the corresponding table
       name will be "mytable_storage_googleapis_com_Bucket". If any of these
       tables does not exist, a new table with the concatenated name will be
       created.
      
       When [content_type] in the ExportAssetsRequest is `RESOURCE`, the schema of
       each table will include RECORD-type columns mapped to the nested fields in
       the Asset.resource.data field of that asset type (up to the 15 nested level
       BigQuery supports
       (https://cloud.google.com/bigquery/docs/nested-repeated#limitations)). The
       fields in >15 nested levels will be stored in JSON format string as a child
       column of its parent RECORD column.
      
       If error occurs when exporting to any table, the whole export call will
       return an error but the export results that already succeed will persist.
       Example: if exporting to table_type_A succeeds when exporting to
       table_type_B fails during one export call, the results in table_type_A will
       persist and there will not be partial results persisting in a table.
       
      bool separate_tables_per_asset_type = 5;
      Returns:
      This builder for chaining.