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.v1p7beta1.BigQueryDestination| Modifier and Type | Method and Description |
|---|---|
BigQueryDestination.Builder |
addRepeatedField(Descriptors.FieldDescriptor field,
Object value) |
BigQueryDestination |
build() |
BigQueryDestination |
buildPartial() |
BigQueryDestination.Builder |
clear() |
BigQueryDestination.Builder |
clearDataset()
Required.
|
BigQueryDestination.Builder |
clearField(Descriptors.FieldDescriptor field) |
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.
|
BigQueryDestination.Builder |
clearOneof(Descriptors.OneofDescriptor oneof) |
BigQueryDestination.Builder |
clearPartitionSpec()
[partition_spec] determines whether to export to partitioned table(s) and
how to partition the data.
|
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.
|
BigQueryDestination.Builder |
clearTable()
Required.
|
BigQueryDestination.Builder |
clone() |
String |
getDataset()
Required.
|
ByteString |
getDatasetBytes()
Required.
|
BigQueryDestination |
getDefaultInstanceForType() |
static Descriptors.Descriptor |
getDescriptor() |
Descriptors.Descriptor |
getDescriptorForType() |
boolean |
getForce()
If the destination table already exists and this flag is `TRUE`, the
table will be overwritten by the contents of assets snapshot.
|
PartitionSpec |
getPartitionSpec()
[partition_spec] determines whether to export to partitioned table(s) and
how to partition the data.
|
PartitionSpec.Builder |
getPartitionSpecBuilder()
[partition_spec] determines whether to export to partitioned table(s) and
how to partition the data.
|
PartitionSpecOrBuilder |
getPartitionSpecOrBuilder()
[partition_spec] determines whether to export to partitioned table(s) and
how to partition the data.
|
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.
|
String |
getTable()
Required.
|
ByteString |
getTableBytes()
Required.
|
boolean |
hasPartitionSpec()
[partition_spec] determines whether to export to partitioned table(s) and
how to partition the data.
|
protected GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
BigQueryDestination.Builder |
mergeFrom(BigQueryDestination other) |
BigQueryDestination.Builder |
mergeFrom(CodedInputStream input,
ExtensionRegistryLite extensionRegistry) |
BigQueryDestination.Builder |
mergeFrom(Message other) |
BigQueryDestination.Builder |
mergePartitionSpec(PartitionSpec value)
[partition_spec] determines whether to export to partitioned table(s) and
how to partition the data.
|
BigQueryDestination.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields) |
BigQueryDestination.Builder |
setDataset(String value)
Required.
|
BigQueryDestination.Builder |
setDatasetBytes(ByteString value)
Required.
|
BigQueryDestination.Builder |
setField(Descriptors.FieldDescriptor field,
Object value) |
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.
|
BigQueryDestination.Builder |
setPartitionSpec(PartitionSpec.Builder builderForValue)
[partition_spec] determines whether to export to partitioned table(s) and
how to partition the data.
|
BigQueryDestination.Builder |
setPartitionSpec(PartitionSpec value)
[partition_spec] determines whether to export to partitioned table(s) and
how to partition the data.
|
BigQueryDestination.Builder |
setRepeatedField(Descriptors.FieldDescriptor field,
int index,
Object value) |
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.
|
BigQueryDestination.Builder |
setTable(String value)
Required.
|
BigQueryDestination.Builder |
setTableBytes(ByteString value)
Required.
|
BigQueryDestination.Builder |
setUnknownFields(UnknownFieldSet unknownFields) |
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitfindInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofmergeDelimitedFrom, mergeDelimitedFrommergeFrompublic static final Descriptors.Descriptor getDescriptor()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class GeneratedMessageV3.Builder<BigQueryDestination.Builder>public BigQueryDestination.Builder clear()
clear in interface Message.Builderclear in interface MessageLite.Builderclear in class GeneratedMessageV3.Builder<BigQueryDestination.Builder>public Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface Message.BuildergetDescriptorForType in interface MessageOrBuildergetDescriptorForType in class GeneratedMessageV3.Builder<BigQueryDestination.Builder>public BigQueryDestination getDefaultInstanceForType()
getDefaultInstanceForType in interface MessageLiteOrBuildergetDefaultInstanceForType in interface MessageOrBuilderpublic BigQueryDestination build()
build in interface Message.Builderbuild in interface MessageLite.Builderpublic BigQueryDestination buildPartial()
buildPartial in interface Message.BuilderbuildPartial in interface MessageLite.Builderpublic BigQueryDestination.Builder clone()
clone in interface Message.Builderclone in interface MessageLite.Builderclone in class GeneratedMessageV3.Builder<BigQueryDestination.Builder>public BigQueryDestination.Builder setField(Descriptors.FieldDescriptor field, Object value)
setField in interface Message.BuildersetField in class GeneratedMessageV3.Builder<BigQueryDestination.Builder>public BigQueryDestination.Builder clearField(Descriptors.FieldDescriptor field)
clearField in interface Message.BuilderclearField in class GeneratedMessageV3.Builder<BigQueryDestination.Builder>public BigQueryDestination.Builder clearOneof(Descriptors.OneofDescriptor oneof)
clearOneof in interface Message.BuilderclearOneof in class GeneratedMessageV3.Builder<BigQueryDestination.Builder>public BigQueryDestination.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface Message.BuildersetRepeatedField in class GeneratedMessageV3.Builder<BigQueryDestination.Builder>public BigQueryDestination.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface Message.BuilderaddRepeatedField in class GeneratedMessageV3.Builder<BigQueryDestination.Builder>public BigQueryDestination.Builder mergeFrom(Message other)
mergeFrom in interface Message.BuildermergeFrom in class AbstractMessage.Builder<BigQueryDestination.Builder>public BigQueryDestination.Builder mergeFrom(BigQueryDestination other)
public final boolean isInitialized()
isInitialized in interface MessageLiteOrBuilderisInitialized in class GeneratedMessageV3.Builder<BigQueryDestination.Builder>public BigQueryDestination.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface Message.BuildermergeFrom in interface MessageLite.BuildermergeFrom in class AbstractMessage.Builder<BigQueryDestination.Builder>IOExceptionpublic 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.
string dataset = 1 [(.google.api.field_behavior) = REQUIRED];getDataset in interface BigQueryDestinationOrBuilderpublic 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.
string dataset = 1 [(.google.api.field_behavior) = REQUIRED];getDatasetBytes in interface BigQueryDestinationOrBuilderpublic 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.
string dataset = 1 [(.google.api.field_behavior) = REQUIRED];value - The dataset to set.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.
string dataset = 1 [(.google.api.field_behavior) = REQUIRED];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.
string dataset = 1 [(.google.api.field_behavior) = REQUIRED];value - The bytes for dataset to set.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];getTable in interface BigQueryDestinationOrBuilderpublic 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];getTableBytes in interface BigQueryDestinationOrBuilderpublic 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];value - The table to set.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];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];value - The bytes for table to set.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;getForce in interface BigQueryDestinationOrBuilderpublic 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;value - The force to set.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;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.v1p7beta1.PartitionSpec partition_spec = 4;hasPartitionSpec in interface BigQueryDestinationOrBuilderpublic 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.v1p7beta1.PartitionSpec partition_spec = 4;getPartitionSpec in interface BigQueryDestinationOrBuilderpublic 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.v1p7beta1.PartitionSpec partition_spec = 4;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.v1p7beta1.PartitionSpec partition_spec = 4;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.v1p7beta1.PartitionSpec partition_spec = 4;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.v1p7beta1.PartitionSpec partition_spec = 4;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.v1p7beta1.PartitionSpec partition_spec = 4;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.v1p7beta1.PartitionSpec partition_spec = 4;getPartitionSpecOrBuilder in interface BigQueryDestinationOrBuilderpublic 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;getSeparateTablesPerAssetType in interface BigQueryDestinationOrBuilderpublic 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;value - The separateTablesPerAssetType to set.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;public final BigQueryDestination.Builder setUnknownFields(UnknownFieldSet unknownFields)
setUnknownFields in interface Message.BuildersetUnknownFields in class GeneratedMessageV3.Builder<BigQueryDestination.Builder>public final BigQueryDestination.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
mergeUnknownFields in interface Message.BuildermergeUnknownFields in class GeneratedMessageV3.Builder<BigQueryDestination.Builder>Copyright © 2022 Google LLC. All rights reserved.