Package com.google.cloud.visionai.v1

Class BigQueryConfig.Builder

java.lang.Object
com.google.protobuf.AbstractMessageLite.Builder
com.google.protobuf.AbstractMessage.Builder<BuilderT>
com.google.protobuf.GeneratedMessage.Builder<BigQueryConfig.Builder>
com.google.cloud.visionai.v1.BigQueryConfig.Builder
All Implemented Interfaces:
BigQueryConfigOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable
Enclosing class:
BigQueryConfig
public static final class BigQueryConfig.Builder extends com.google.protobuf.GeneratedMessage.Builder<BigQueryConfig.Builder> implements BigQueryConfigOrBuilder
 Message of configurations for BigQuery processor.
Protobuf type google.cloud.visionai.v1.BigQueryConfig

  • Method Summary

    Modifier and Type
    Method
    Description
    BigQueryConfig
    build()
     
    BigQueryConfig
    buildPartial()
     
    BigQueryConfig.Builder
    clear()
     
    BigQueryConfig.Builder
    clearCloudFunctionMapping()
     
    BigQueryConfig.Builder
    clearCreateDefaultTableIfNotExists()
    If true, App Platform will create the BigQuery DataSet and the BigQuery Table with default schema if the specified table doesn't exist.
    BigQueryConfig.Builder
    clearTable()
    BigQuery table resource for Vision AI Platform to ingest annotations to.
    boolean
    containsCloudFunctionMapping(String key)
    Data Schema By default, Vision AI Application will try to write annotations to the target BigQuery table using the following schema: ingestion_time: TIMESTAMP, the ingestion time of the original data.
    Map<String,String>
    getCloudFunctionMapping()
    Deprecated.
    int
    getCloudFunctionMappingCount()
    Data Schema By default, Vision AI Application will try to write annotations to the target BigQuery table using the following schema: ingestion_time: TIMESTAMP, the ingestion time of the original data.
    Map<String,String>
    getCloudFunctionMappingMap()
    Data Schema By default, Vision AI Application will try to write annotations to the target BigQuery table using the following schema: ingestion_time: TIMESTAMP, the ingestion time of the original data.
    String
    getCloudFunctionMappingOrDefault(String key, String defaultValue)
    Data Schema By default, Vision AI Application will try to write annotations to the target BigQuery table using the following schema: ingestion_time: TIMESTAMP, the ingestion time of the original data.
    String
    getCloudFunctionMappingOrThrow(String key)
    Data Schema By default, Vision AI Application will try to write annotations to the target BigQuery table using the following schema: ingestion_time: TIMESTAMP, the ingestion time of the original data.
    boolean
    getCreateDefaultTableIfNotExists()
    If true, App Platform will create the BigQuery DataSet and the BigQuery Table with default schema if the specified table doesn't exist.
    BigQueryConfig
    getDefaultInstanceForType()
     
    static final com.google.protobuf.Descriptors.Descriptor
    getDescriptor()
     
    com.google.protobuf.Descriptors.Descriptor
    getDescriptorForType()
     
    Map<String,String>
    getMutableCloudFunctionMapping()
    Deprecated.
    String
    getTable()
    BigQuery table resource for Vision AI Platform to ingest annotations to.
    com.google.protobuf.ByteString
    getTableBytes()
    BigQuery table resource for Vision AI Platform to ingest annotations to.
    protected com.google.protobuf.GeneratedMessage.FieldAccessorTable
    internalGetFieldAccessorTable()
     
    protected com.google.protobuf.MapFieldReflectionAccessor
    internalGetMapFieldReflection(int number)
     
    protected com.google.protobuf.MapFieldReflectionAccessor
    internalGetMutableMapFieldReflection(int number)
     
    final boolean
    isInitialized()
     
    BigQueryConfig.Builder
    mergeFrom(BigQueryConfig other)
     
    BigQueryConfig.Builder
    mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    BigQueryConfig.Builder
    mergeFrom(com.google.protobuf.Message other)
     
    BigQueryConfig.Builder
    putAllCloudFunctionMapping(Map<String,String> values)
    Data Schema By default, Vision AI Application will try to write annotations to the target BigQuery table using the following schema: ingestion_time: TIMESTAMP, the ingestion time of the original data.
    BigQueryConfig.Builder
    putCloudFunctionMapping(String key, String value)
    Data Schema By default, Vision AI Application will try to write annotations to the target BigQuery table using the following schema: ingestion_time: TIMESTAMP, the ingestion time of the original data.
    BigQueryConfig.Builder
    removeCloudFunctionMapping(String key)
    Data Schema By default, Vision AI Application will try to write annotations to the target BigQuery table using the following schema: ingestion_time: TIMESTAMP, the ingestion time of the original data.
    BigQueryConfig.Builder
    setCreateDefaultTableIfNotExists(boolean value)
    If true, App Platform will create the BigQuery DataSet and the BigQuery Table with default schema if the specified table doesn't exist.
    BigQueryConfig.Builder
    setTable(String value)
    BigQuery table resource for Vision AI Platform to ingest annotations to.
    BigQueryConfig.Builder
    setTableBytes(com.google.protobuf.ByteString value)
    BigQuery table resource for Vision AI Platform to ingest annotations to.

    Methods inherited from class com.google.protobuf.GeneratedMessage.Builder

    addRepeatedField, clearField, clearOneof, clone, getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownFields, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setField, setRepeatedField, setUnknownFields, setUnknownFieldSetBuilder, setUnknownFieldsProto3

    Methods inherited from class com.google.protobuf.AbstractMessage.Builder

    findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

    Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

    addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException

    Methods inherited from class java.lang.Object

    equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

    Methods inherited from interface com.google.protobuf.Message.Builder

    mergeDelimitedFrom, mergeDelimitedFrom

    Methods inherited from interface com.google.protobuf.MessageLite.Builder

    mergeFrom

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • getDescriptor

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

    • internalGetMapFieldReflection

      protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
      Overrides:
      internalGetMapFieldReflection in class com.google.protobuf.GeneratedMessage.Builder<BigQueryConfig.Builder>

    • internalGetMutableMapFieldReflection

      protected com.google.protobuf.MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
      Overrides:
      internalGetMutableMapFieldReflection in class com.google.protobuf.GeneratedMessage.Builder<BigQueryConfig.Builder>

    • internalGetFieldAccessorTable

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

    • clear

      public BigQueryConfig.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<BigQueryConfig.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<BigQueryConfig.Builder>

    • getDefaultInstanceForType

      public BigQueryConfig getDefaultInstanceForType()
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
      Specified by:
      getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

    • build

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

    • buildPartial

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

    • mergeFrom

      public BigQueryConfig.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<BigQueryConfig.Builder>

    • mergeFrom

      public BigQueryConfig.Builder mergeFrom(BigQueryConfig other)

    • isInitialized

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

    • mergeFrom

      public BigQueryConfig.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<BigQueryConfig.Builder>
      Throws:
      IOException

    • getTable

      public String getTable()
       BigQuery table resource for Vision AI Platform to ingest annotations to.
      string table = 1;
      Specified by:
      getTable in interface BigQueryConfigOrBuilder
      Returns:
      The table.

    • getTableBytes

      public com.google.protobuf.ByteString getTableBytes()
       BigQuery table resource for Vision AI Platform to ingest annotations to.
      string table = 1;
      Specified by:
      getTableBytes in interface BigQueryConfigOrBuilder
      Returns:
      The bytes for table.

    • setTable

      public BigQueryConfig.Builder setTable(String value)
       BigQuery table resource for Vision AI Platform to ingest annotations to.
      string table = 1;
      Parameters:
      value - The table to set.
      Returns:
      This builder for chaining.

    • clearTable

      public BigQueryConfig.Builder clearTable()
       BigQuery table resource for Vision AI Platform to ingest annotations to.
      string table = 1;
      Returns:
      This builder for chaining.

    • setTableBytes

      public BigQueryConfig.Builder setTableBytes(com.google.protobuf.ByteString value)
       BigQuery table resource for Vision AI Platform to ingest annotations to.
      string table = 1;
      Parameters:
      value - The bytes for table to set.
      Returns:
      This builder for chaining.

    • getCloudFunctionMappingCount

      public int getCloudFunctionMappingCount()
      Description copied from interface: BigQueryConfigOrBuilder
       Data Schema
 By default, Vision AI Application will try to write annotations to the
 target BigQuery table using the following schema:

 ingestion_time: TIMESTAMP, the ingestion time of the original data.

 application: STRING, name of the application which produces the annotation.

 instance: STRING, Id of the instance which produces the annotation.

 node: STRING, name of the application graph node which produces the
 annotation.

 annotation: STRING or JSON, the actual annotation protobuf will be
 converted to json string with bytes field as 64 encoded string. It can be
 written to both String or Json type column.

 To forward annotation data to an existing BigQuery table, customer needs to
 make sure the compatibility of the schema.
 The map maps application node name to its corresponding cloud function
 endpoint to transform the annotations directly to the
 google.cloud.bigquery.storage.v1.AppendRowsRequest (only avro_rows or
 proto_rows should be set). If configured, annotations produced by
 corresponding application node will sent to the Cloud Function at first
 before be forwarded to BigQuery.

 If the default table schema doesn't fit, customer is able to transform the
 annotation output from Vision AI Application to arbitrary BigQuery table
 schema with CloudFunction.
 * The cloud function will receive AppPlatformCloudFunctionRequest where
 the annotations field will be the json format of Vision AI annotation.
 * The cloud function should return AppPlatformCloudFunctionResponse with
 AppendRowsRequest stored in the annotations field.
 * To drop the annotation, simply clear the annotations field in the
 returned AppPlatformCloudFunctionResponse.
      map<string, string> cloud_function_mapping = 2;
      Specified by:
      getCloudFunctionMappingCount in interface BigQueryConfigOrBuilder

    • containsCloudFunctionMapping

      public boolean containsCloudFunctionMapping(String key)
       Data Schema
 By default, Vision AI Application will try to write annotations to the
 target BigQuery table using the following schema:

 ingestion_time: TIMESTAMP, the ingestion time of the original data.

 application: STRING, name of the application which produces the annotation.

 instance: STRING, Id of the instance which produces the annotation.

 node: STRING, name of the application graph node which produces the
 annotation.

 annotation: STRING or JSON, the actual annotation protobuf will be
 converted to json string with bytes field as 64 encoded string. It can be
 written to both String or Json type column.

 To forward annotation data to an existing BigQuery table, customer needs to
 make sure the compatibility of the schema.
 The map maps application node name to its corresponding cloud function
 endpoint to transform the annotations directly to the
 google.cloud.bigquery.storage.v1.AppendRowsRequest (only avro_rows or
 proto_rows should be set). If configured, annotations produced by
 corresponding application node will sent to the Cloud Function at first
 before be forwarded to BigQuery.

 If the default table schema doesn't fit, customer is able to transform the
 annotation output from Vision AI Application to arbitrary BigQuery table
 schema with CloudFunction.
 * The cloud function will receive AppPlatformCloudFunctionRequest where
 the annotations field will be the json format of Vision AI annotation.
 * The cloud function should return AppPlatformCloudFunctionResponse with
 AppendRowsRequest stored in the annotations field.
 * To drop the annotation, simply clear the annotations field in the
 returned AppPlatformCloudFunctionResponse.
      map<string, string> cloud_function_mapping = 2;
      Specified by:
      containsCloudFunctionMapping in interface BigQueryConfigOrBuilder

    • getCloudFunctionMapping

      @Deprecated public Map<String,String> getCloudFunctionMapping()
      Deprecated.
      Use getCloudFunctionMappingMap() instead.
      Specified by:
      getCloudFunctionMapping in interface BigQueryConfigOrBuilder

    • getCloudFunctionMappingMap

      public Map<String,String> getCloudFunctionMappingMap()
       Data Schema
 By default, Vision AI Application will try to write annotations to the
 target BigQuery table using the following schema:

 ingestion_time: TIMESTAMP, the ingestion time of the original data.

 application: STRING, name of the application which produces the annotation.

 instance: STRING, Id of the instance which produces the annotation.

 node: STRING, name of the application graph node which produces the
 annotation.

 annotation: STRING or JSON, the actual annotation protobuf will be
 converted to json string with bytes field as 64 encoded string. It can be
 written to both String or Json type column.

 To forward annotation data to an existing BigQuery table, customer needs to
 make sure the compatibility of the schema.
 The map maps application node name to its corresponding cloud function
 endpoint to transform the annotations directly to the
 google.cloud.bigquery.storage.v1.AppendRowsRequest (only avro_rows or
 proto_rows should be set). If configured, annotations produced by
 corresponding application node will sent to the Cloud Function at first
 before be forwarded to BigQuery.

 If the default table schema doesn't fit, customer is able to transform the
 annotation output from Vision AI Application to arbitrary BigQuery table
 schema with CloudFunction.
 * The cloud function will receive AppPlatformCloudFunctionRequest where
 the annotations field will be the json format of Vision AI annotation.
 * The cloud function should return AppPlatformCloudFunctionResponse with
 AppendRowsRequest stored in the annotations field.
 * To drop the annotation, simply clear the annotations field in the
 returned AppPlatformCloudFunctionResponse.
      map<string, string> cloud_function_mapping = 2;
      Specified by:
      getCloudFunctionMappingMap in interface BigQueryConfigOrBuilder

    • getCloudFunctionMappingOrDefault

      public String getCloudFunctionMappingOrDefault(String key, String defaultValue)
       Data Schema
 By default, Vision AI Application will try to write annotations to the
 target BigQuery table using the following schema:

 ingestion_time: TIMESTAMP, the ingestion time of the original data.

 application: STRING, name of the application which produces the annotation.

 instance: STRING, Id of the instance which produces the annotation.

 node: STRING, name of the application graph node which produces the
 annotation.

 annotation: STRING or JSON, the actual annotation protobuf will be
 converted to json string with bytes field as 64 encoded string. It can be
 written to both String or Json type column.

 To forward annotation data to an existing BigQuery table, customer needs to
 make sure the compatibility of the schema.
 The map maps application node name to its corresponding cloud function
 endpoint to transform the annotations directly to the
 google.cloud.bigquery.storage.v1.AppendRowsRequest (only avro_rows or
 proto_rows should be set). If configured, annotations produced by
 corresponding application node will sent to the Cloud Function at first
 before be forwarded to BigQuery.

 If the default table schema doesn't fit, customer is able to transform the
 annotation output from Vision AI Application to arbitrary BigQuery table
 schema with CloudFunction.
 * The cloud function will receive AppPlatformCloudFunctionRequest where
 the annotations field will be the json format of Vision AI annotation.
 * The cloud function should return AppPlatformCloudFunctionResponse with
 AppendRowsRequest stored in the annotations field.
 * To drop the annotation, simply clear the annotations field in the
 returned AppPlatformCloudFunctionResponse.
      map<string, string> cloud_function_mapping = 2;
      Specified by:
      getCloudFunctionMappingOrDefault in interface BigQueryConfigOrBuilder

    • getCloudFunctionMappingOrThrow

      public String getCloudFunctionMappingOrThrow(String key)
       Data Schema
 By default, Vision AI Application will try to write annotations to the
 target BigQuery table using the following schema:

 ingestion_time: TIMESTAMP, the ingestion time of the original data.

 application: STRING, name of the application which produces the annotation.

 instance: STRING, Id of the instance which produces the annotation.

 node: STRING, name of the application graph node which produces the
 annotation.

 annotation: STRING or JSON, the actual annotation protobuf will be
 converted to json string with bytes field as 64 encoded string. It can be
 written to both String or Json type column.

 To forward annotation data to an existing BigQuery table, customer needs to
 make sure the compatibility of the schema.
 The map maps application node name to its corresponding cloud function
 endpoint to transform the annotations directly to the
 google.cloud.bigquery.storage.v1.AppendRowsRequest (only avro_rows or
 proto_rows should be set). If configured, annotations produced by
 corresponding application node will sent to the Cloud Function at first
 before be forwarded to BigQuery.

 If the default table schema doesn't fit, customer is able to transform the
 annotation output from Vision AI Application to arbitrary BigQuery table
 schema with CloudFunction.
 * The cloud function will receive AppPlatformCloudFunctionRequest where
 the annotations field will be the json format of Vision AI annotation.
 * The cloud function should return AppPlatformCloudFunctionResponse with
 AppendRowsRequest stored in the annotations field.
 * To drop the annotation, simply clear the annotations field in the
 returned AppPlatformCloudFunctionResponse.
      map<string, string> cloud_function_mapping = 2;
      Specified by:
      getCloudFunctionMappingOrThrow in interface BigQueryConfigOrBuilder

    • clearCloudFunctionMapping

      public BigQueryConfig.Builder clearCloudFunctionMapping()

    • removeCloudFunctionMapping

      public BigQueryConfig.Builder removeCloudFunctionMapping(String key)
       Data Schema
 By default, Vision AI Application will try to write annotations to the
 target BigQuery table using the following schema:

 ingestion_time: TIMESTAMP, the ingestion time of the original data.

 application: STRING, name of the application which produces the annotation.

 instance: STRING, Id of the instance which produces the annotation.

 node: STRING, name of the application graph node which produces the
 annotation.

 annotation: STRING or JSON, the actual annotation protobuf will be
 converted to json string with bytes field as 64 encoded string. It can be
 written to both String or Json type column.

 To forward annotation data to an existing BigQuery table, customer needs to
 make sure the compatibility of the schema.
 The map maps application node name to its corresponding cloud function
 endpoint to transform the annotations directly to the
 google.cloud.bigquery.storage.v1.AppendRowsRequest (only avro_rows or
 proto_rows should be set). If configured, annotations produced by
 corresponding application node will sent to the Cloud Function at first
 before be forwarded to BigQuery.

 If the default table schema doesn't fit, customer is able to transform the
 annotation output from Vision AI Application to arbitrary BigQuery table
 schema with CloudFunction.
 * The cloud function will receive AppPlatformCloudFunctionRequest where
 the annotations field will be the json format of Vision AI annotation.
 * The cloud function should return AppPlatformCloudFunctionResponse with
 AppendRowsRequest stored in the annotations field.
 * To drop the annotation, simply clear the annotations field in the
 returned AppPlatformCloudFunctionResponse.
      map<string, string> cloud_function_mapping = 2;

    • getMutableCloudFunctionMapping

      @Deprecated public Map<String,String> getMutableCloudFunctionMapping()
      Deprecated.
      Use alternate mutation accessors instead.

    • putCloudFunctionMapping

      public BigQueryConfig.Builder putCloudFunctionMapping(String key, String value)
       Data Schema
 By default, Vision AI Application will try to write annotations to the
 target BigQuery table using the following schema:

 ingestion_time: TIMESTAMP, the ingestion time of the original data.

 application: STRING, name of the application which produces the annotation.

 instance: STRING, Id of the instance which produces the annotation.

 node: STRING, name of the application graph node which produces the
 annotation.

 annotation: STRING or JSON, the actual annotation protobuf will be
 converted to json string with bytes field as 64 encoded string. It can be
 written to both String or Json type column.

 To forward annotation data to an existing BigQuery table, customer needs to
 make sure the compatibility of the schema.
 The map maps application node name to its corresponding cloud function
 endpoint to transform the annotations directly to the
 google.cloud.bigquery.storage.v1.AppendRowsRequest (only avro_rows or
 proto_rows should be set). If configured, annotations produced by
 corresponding application node will sent to the Cloud Function at first
 before be forwarded to BigQuery.

 If the default table schema doesn't fit, customer is able to transform the
 annotation output from Vision AI Application to arbitrary BigQuery table
 schema with CloudFunction.
 * The cloud function will receive AppPlatformCloudFunctionRequest where
 the annotations field will be the json format of Vision AI annotation.
 * The cloud function should return AppPlatformCloudFunctionResponse with
 AppendRowsRequest stored in the annotations field.
 * To drop the annotation, simply clear the annotations field in the
 returned AppPlatformCloudFunctionResponse.
      map<string, string> cloud_function_mapping = 2;

    • putAllCloudFunctionMapping

      public BigQueryConfig.Builder putAllCloudFunctionMapping(Map<String,String> values)
       Data Schema
 By default, Vision AI Application will try to write annotations to the
 target BigQuery table using the following schema:

 ingestion_time: TIMESTAMP, the ingestion time of the original data.

 application: STRING, name of the application which produces the annotation.

 instance: STRING, Id of the instance which produces the annotation.

 node: STRING, name of the application graph node which produces the
 annotation.

 annotation: STRING or JSON, the actual annotation protobuf will be
 converted to json string with bytes field as 64 encoded string. It can be
 written to both String or Json type column.

 To forward annotation data to an existing BigQuery table, customer needs to
 make sure the compatibility of the schema.
 The map maps application node name to its corresponding cloud function
 endpoint to transform the annotations directly to the
 google.cloud.bigquery.storage.v1.AppendRowsRequest (only avro_rows or
 proto_rows should be set). If configured, annotations produced by
 corresponding application node will sent to the Cloud Function at first
 before be forwarded to BigQuery.

 If the default table schema doesn't fit, customer is able to transform the
 annotation output from Vision AI Application to arbitrary BigQuery table
 schema with CloudFunction.
 * The cloud function will receive AppPlatformCloudFunctionRequest where
 the annotations field will be the json format of Vision AI annotation.
 * The cloud function should return AppPlatformCloudFunctionResponse with
 AppendRowsRequest stored in the annotations field.
 * To drop the annotation, simply clear the annotations field in the
 returned AppPlatformCloudFunctionResponse.
      map<string, string> cloud_function_mapping = 2;

    • getCreateDefaultTableIfNotExists

      public boolean getCreateDefaultTableIfNotExists()
       If true, App Platform will create the BigQuery DataSet and the
 BigQuery Table with default schema if the specified table doesn't exist.
 This doesn't work if any cloud function customized schema is specified
 since the system doesn't know your desired schema.
 JSON column will be used in the default table created by App Platform.
      bool create_default_table_if_not_exists = 3;
      Specified by:
      getCreateDefaultTableIfNotExists in interface BigQueryConfigOrBuilder
      Returns:
      The createDefaultTableIfNotExists.

    • setCreateDefaultTableIfNotExists

      public BigQueryConfig.Builder setCreateDefaultTableIfNotExists(boolean value)
       If true, App Platform will create the BigQuery DataSet and the
 BigQuery Table with default schema if the specified table doesn't exist.
 This doesn't work if any cloud function customized schema is specified
 since the system doesn't know your desired schema.
 JSON column will be used in the default table created by App Platform.
      bool create_default_table_if_not_exists = 3;
      Parameters:
      value - The createDefaultTableIfNotExists to set.
      Returns:
      This builder for chaining.

    • clearCreateDefaultTableIfNotExists

      public BigQueryConfig.Builder clearCreateDefaultTableIfNotExists()
       If true, App Platform will create the BigQuery DataSet and the
 BigQuery Table with default schema if the specified table doesn't exist.
 This doesn't work if any cloud function customized schema is specified
 since the system doesn't know your desired schema.
 JSON column will be used in the default table created by App Platform.
      bool create_default_table_if_not_exists = 3;
      Returns:
      This builder for chaining.