Class BigQueryDestination.Builder (3.45.0) 

public static final class BigQueryDestination.Builder extends GeneratedMessageV3.Builder<BigQueryDestination.Builder> implements BigQueryDestinationOrBuilder

A BigQuery destination for exporting assets to.

Protobuf type google.cloud.asset.v1.BigQueryDestination

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > BigQueryDestination.Builder

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public BigQueryDestination.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
BigQueryDestination.Builder
Overrides

build()

public BigQueryDestination build()
Returns
Type Description
BigQueryDestination

buildPartial()

public BigQueryDestination buildPartial()
Returns
Type Description
BigQueryDestination

clear()

public BigQueryDestination.Builder clear()
Returns
Type Description
BigQueryDestination.Builder
Overrides

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 of the BigQuery table. Setting separateTablesPerAssetType to TRUE also influences the schema.

string dataset = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
BigQueryDestination.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public BigQueryDestination.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
BigQueryDestination.Builder
Overrides

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
Type Description
BigQueryDestination.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public BigQueryDestination.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
BigQueryDestination.Builder
Overrides

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;

Returns
Type Description
BigQueryDestination.Builder

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
Type Description
BigQueryDestination.Builder

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
Type Description
BigQueryDestination.Builder

This builder for chaining.

clone()

public BigQueryDestination.Builder clone()
Returns
Type Description
BigQueryDestination.Builder
Overrides

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 of the BigQuery table. Setting separateTablesPerAssetType to TRUE also influences the schema.

string dataset = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
String

The dataset.

getDatasetBytes()

public 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 of the BigQuery table. Setting separateTablesPerAssetType to TRUE also influences the schema.

string dataset = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type Description
ByteString

The bytes for dataset.

getDefaultInstanceForType()

public BigQueryDestination getDefaultInstanceForType()
Returns
Type Description
BigQueryDestination

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

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;

Returns
Type Description
boolean

The force.

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;

Returns
Type Description
PartitionSpec

The partitionSpec.

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;

Returns
Type Description
PartitionSpec.Builder

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;

Returns
Type Description
PartitionSpecOrBuilder

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;

Returns
Type Description
boolean

The separateTablesPerAssetType.

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];

Returns
Type Description
String

The table.

getTableBytes()

public 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];

Returns
Type Description
ByteString

The bytes for table.

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;

Returns
Type Description
boolean

Whether the partitionSpec field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(BigQueryDestination other)

public BigQueryDestination.Builder mergeFrom(BigQueryDestination other)
Parameter
Name Description
other BigQueryDestination
Returns
Type Description
BigQueryDestination.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public BigQueryDestination.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BigQueryDestination.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public BigQueryDestination.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
BigQueryDestination.Builder
Overrides

mergePartitionSpec(PartitionSpec value)

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;

Parameter
Name Description
value PartitionSpec
Returns
Type Description
BigQueryDestination.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final BigQueryDestination.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
BigQueryDestination.Builder
Overrides

setDataset(String value)

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 of the BigQuery table. Setting separateTablesPerAssetType to TRUE also influences the schema.

string dataset = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value String

The dataset to set.
Returns
Type Description
BigQueryDestination.Builder

This builder for chaining.

setDatasetBytes(ByteString value)

public BigQueryDestination.Builder setDatasetBytes(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 of the BigQuery table. Setting separateTablesPerAssetType to TRUE also influences the schema.

string dataset = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name Description
value ByteString

The bytes for dataset to set.
Returns
Type Description
BigQueryDestination.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public BigQueryDestination.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
BigQueryDestination.Builder
Overrides

setForce(boolean value)

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;

Parameter
Name Description
value boolean

The force to set.
Returns
Type Description
BigQueryDestination.Builder

This builder for chaining.

setPartitionSpec(PartitionSpec value)

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;

Parameter
Name Description
value PartitionSpec
Returns
Type Description
BigQueryDestination.Builder

setPartitionSpec(PartitionSpec.Builder builderForValue)

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;

Parameter
Name Description
builderForValue PartitionSpec.Builder
Returns
Type Description
BigQueryDestination.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public BigQueryDestination.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
BigQueryDestination.Builder
Overrides

setSeparateTablesPerAssetType(boolean value)

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;

Parameter
Name Description
value boolean

The separateTablesPerAssetType to set.
Returns
Type Description
BigQueryDestination.Builder

This builder for chaining.

setTable(String value)

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];

Parameter
Name Description
value String

The table to set.
Returns
Type Description
BigQueryDestination.Builder

This builder for chaining.

setTableBytes(ByteString value)

public BigQueryDestination.Builder setTableBytes(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];

Parameter
Name Description
value ByteString

The bytes for table to set.
Returns
Type Description
BigQueryDestination.Builder

This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final BigQueryDestination.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
BigQueryDestination.Builder
Overrides