Package com.google.cloud.visionai.v1

Class BigQueryConfig

java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessage
com.google.cloud.visionai.v1.BigQueryConfig
All Implemented Interfaces:
BigQueryConfigOrBuilder, com.google.protobuf.Message, com.google.protobuf.MessageLite, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Serializable
@Generated public final class BigQueryConfig extends com.google.protobuf.GeneratedMessage implements BigQueryConfigOrBuilder
 Message of configurations for BigQuery processor.
Protobuf type google.cloud.visionai.v1.BigQueryConfig
See Also:

  • Nested Class Summary

    Nested Classes
    Modifier and Type
    Class
    Description
    static final class 
    BigQueryConfig.Builder
    Message of configurations for BigQuery processor.

    Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessage

    com.google.protobuf.GeneratedMessage.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessage.ExtendableBuilder<MessageT,BuilderT>>, com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessage.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessage.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessage.FieldAccessorTable, com.google.protobuf.GeneratedMessage.GeneratedExtension<ContainingT extends com.google.protobuf.Message,T extends Object>, com.google.protobuf.GeneratedMessage.UnusedPrivateParameter

    Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessage

    com.google.protobuf.AbstractMessage.BuilderParent

    Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite

    com.google.protobuf.AbstractMessageLite.InternalOneOfEnum

  • Field Summary

    Fields
    Modifier and Type
    Field
    Description
    static final int
    CLOUD_FUNCTION_MAPPING_FIELD_NUMBER
     
    static final int
    CREATE_DEFAULT_TABLE_IF_NOT_EXISTS_FIELD_NUMBER
     
    static final int
    TABLE_FIELD_NUMBER
     

    Fields inherited from class com.google.protobuf.GeneratedMessage

    alwaysUseFieldBuilders, loggedPre22TypeNames, unknownFields

    Fields inherited from class com.google.protobuf.AbstractMessage

    memoizedSize

    Fields inherited from class com.google.protobuf.AbstractMessageLite

    memoizedHashCode

  • Method Summary

    Modifier and Type
    Method
    Description
    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.
    boolean
    equals(Object obj)
     
    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.
    static BigQueryConfig
    getDefaultInstance()
     
    BigQueryConfig
    getDefaultInstanceForType()
     
    static final com.google.protobuf.Descriptors.Descriptor
    getDescriptor()
     
    com.google.protobuf.Parser<BigQueryConfig>
    getParserForType()
     
    int
    getSerializedSize()
     
    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.
    int
    hashCode()
     
    protected com.google.protobuf.GeneratedMessage.FieldAccessorTable
    internalGetFieldAccessorTable()
     
    protected com.google.protobuf.MapFieldReflectionAccessor
    internalGetMapFieldReflection(int number)
     
    final boolean
    isInitialized()
     
    static BigQueryConfig.Builder
    newBuilder()
     
    static BigQueryConfig.Builder
    newBuilder(BigQueryConfig prototype)
     
    BigQueryConfig.Builder
    newBuilderForType()
     
    protected BigQueryConfig.Builder
    newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
     
    static BigQueryConfig
    parseDelimitedFrom(InputStream input)
     
    static BigQueryConfig
    parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static BigQueryConfig
    parseFrom(byte[] data)
     
    static BigQueryConfig
    parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static BigQueryConfig
    parseFrom(com.google.protobuf.ByteString data)
     
    static BigQueryConfig
    parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static BigQueryConfig
    parseFrom(com.google.protobuf.CodedInputStream input)
     
    static BigQueryConfig
    parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static BigQueryConfig
    parseFrom(InputStream input)
     
    static BigQueryConfig
    parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static BigQueryConfig
    parseFrom(ByteBuffer data)
     
    static BigQueryConfig
    parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
     
    static com.google.protobuf.Parser<BigQueryConfig>
    parser()
     
    BigQueryConfig.Builder
    toBuilder()
     
    void
    writeTo(com.google.protobuf.CodedOutputStream output)
     

    Methods inherited from class com.google.protobuf.GeneratedMessage

    canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, mergeFromAndMakeImmutableInternal, newFileScopedGeneratedExtension, newInstance, newMessageScopedGeneratedExtension, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag

    Methods inherited from class com.google.protobuf.AbstractMessage

    findInitializationErrors, getInitializationErrorString, hashFields, toString

    Methods inherited from class com.google.protobuf.AbstractMessageLite

    addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

    Methods inherited from class java.lang.Object

    clone, finalize, getClass, notify, notifyAll, wait, wait, wait

    Methods inherited from interface com.google.protobuf.MessageLite

    toByteArray, toByteString, writeDelimitedTo, writeTo

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

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

  • Field Details

    • TABLE_FIELD_NUMBER

      public static final int TABLE_FIELD_NUMBER
      See Also:

    • CLOUD_FUNCTION_MAPPING_FIELD_NUMBER

      public static final int CLOUD_FUNCTION_MAPPING_FIELD_NUMBER
      See Also:

    • CREATE_DEFAULT_TABLE_IF_NOT_EXISTS_FIELD_NUMBER

      public static final int CREATE_DEFAULT_TABLE_IF_NOT_EXISTS_FIELD_NUMBER
      See Also:

  • 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

    • internalGetFieldAccessorTable

      protected com.google.protobuf.GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()
      Specified by:
      internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessage

    • 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.

    • 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

    • 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.

    • isInitialized

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

    • writeTo

      public void writeTo(com.google.protobuf.CodedOutputStream output) throws IOException
      Specified by:
      writeTo in interface com.google.protobuf.MessageLite
      Overrides:
      writeTo in class com.google.protobuf.GeneratedMessage
      Throws:
      IOException

    • getSerializedSize

      public int getSerializedSize()
      Specified by:
      getSerializedSize in interface com.google.protobuf.MessageLite
      Overrides:
      getSerializedSize in class com.google.protobuf.GeneratedMessage

    • equals

      public boolean equals(Object obj)
      Specified by:
      equals in interface com.google.protobuf.Message
      Overrides:
      equals in class com.google.protobuf.AbstractMessage

    • hashCode

      public int hashCode()
      Specified by:
      hashCode in interface com.google.protobuf.Message
      Overrides:
      hashCode in class com.google.protobuf.AbstractMessage

    • parseFrom

      public static BigQueryConfig parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static BigQueryConfig parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static BigQueryConfig parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static BigQueryConfig parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static BigQueryConfig parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static BigQueryConfig parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
      Throws:
      com.google.protobuf.InvalidProtocolBufferException

    • parseFrom

      public static BigQueryConfig parseFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static BigQueryConfig parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static BigQueryConfig parseDelimitedFrom(InputStream input) throws IOException
      Throws:
      IOException

    • parseDelimitedFrom

      public static BigQueryConfig parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • parseFrom

      public static BigQueryConfig parseFrom(com.google.protobuf.CodedInputStream input) throws IOException
      Throws:
      IOException

    • parseFrom

      public static BigQueryConfig parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
      Throws:
      IOException

    • newBuilderForType

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

    • newBuilder

      public static BigQueryConfig.Builder newBuilder()

    • newBuilder

      public static BigQueryConfig.Builder newBuilder(BigQueryConfig prototype)

    • toBuilder

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

    • newBuilderForType

      protected BigQueryConfig.Builder newBuilderForType(com.google.protobuf.AbstractMessage.BuilderParent parent)
      Overrides:
      newBuilderForType in class com.google.protobuf.AbstractMessage

    • getDefaultInstance

      public static BigQueryConfig getDefaultInstance()

    • parser

      public static com.google.protobuf.Parser<BigQueryConfig> parser()

    • getParserForType

      public com.google.protobuf.Parser<BigQueryConfig> getParserForType()
      Specified by:
      getParserForType in interface com.google.protobuf.Message
      Specified by:
      getParserForType in interface com.google.protobuf.MessageLite
      Overrides:
      getParserForType in class com.google.protobuf.GeneratedMessage

    • getDefaultInstanceForType

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