Class BigQueryConfig (0.15.0)

public final class BigQueryConfig extends GeneratedMessageV3 implements BigQueryConfigOrBuilder

Message of configurations for BigQuery processor.

Protobuf type google.events.cloud.visionai.v1.BigQueryConfig

Static Fields

CLOUD_FUNCTION_MAPPING_FIELD_NUMBER

public static final int CLOUD_FUNCTION_MAPPING_FIELD_NUMBER
Field Value
Type Description
int

CREATE_DEFAULT_TABLE_IF_NOT_EXISTS_FIELD_NUMBER

public static final int CREATE_DEFAULT_TABLE_IF_NOT_EXISTS_FIELD_NUMBER
Field Value
Type Description
int

TABLE_FIELD_NUMBER

public static final int TABLE_FIELD_NUMBER
Field Value
Type Description
int

Static Methods

getDefaultInstance()

public static BigQueryConfig getDefaultInstance()
Returns
Type Description
BigQueryConfig

getDescriptor()

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

newBuilder()

public static BigQueryConfig.Builder newBuilder()
Returns
Type Description
BigQueryConfig.Builder

newBuilder(BigQueryConfig prototype)

public static BigQueryConfig.Builder newBuilder(BigQueryConfig prototype)
Parameter
Name Description
prototype BigQueryConfig
Returns
Type Description
BigQueryConfig.Builder

parseDelimitedFrom(InputStream input)

public static BigQueryConfig parseDelimitedFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
BigQueryConfig
Exceptions
Type Description
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static BigQueryConfig parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BigQueryConfig
Exceptions
Type Description
IOException

parseFrom(byte[] data)

public static BigQueryConfig parseFrom(byte[] data)
Parameter
Name Description
data byte[]
Returns
Type Description
BigQueryConfig
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static BigQueryConfig parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data byte[]
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BigQueryConfig
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data)

public static BigQueryConfig parseFrom(ByteString data)
Parameter
Name Description
data ByteString
Returns
Type Description
BigQueryConfig
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static BigQueryConfig parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteString
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BigQueryConfig
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static BigQueryConfig parseFrom(CodedInputStream input)
Parameter
Name Description
input CodedInputStream
Returns
Type Description
BigQueryConfig
Exceptions
Type Description
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static BigQueryConfig parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BigQueryConfig
Exceptions
Type Description
IOException

parseFrom(InputStream input)

public static BigQueryConfig parseFrom(InputStream input)
Parameter
Name Description
input InputStream
Returns
Type Description
BigQueryConfig
Exceptions
Type Description
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static BigQueryConfig parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input InputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BigQueryConfig
Exceptions
Type Description
IOException

parseFrom(ByteBuffer data)

public static BigQueryConfig parseFrom(ByteBuffer data)
Parameter
Name Description
data ByteBuffer
Returns
Type Description
BigQueryConfig
Exceptions
Type Description
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static BigQueryConfig parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
data ByteBuffer
extensionRegistry ExtensionRegistryLite
Returns
Type Description
BigQueryConfig
Exceptions
Type Description
InvalidProtocolBufferException

parser()

public static Parser<BigQueryConfig> parser()
Returns
Type Description
Parser<BigQueryConfig>

Methods

containsCloudFunctionMapping(String key)

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;

Parameter
Name Description
key String
Returns
Type Description
boolean

equals(Object obj)

public boolean equals(Object obj)
Parameter
Name Description
obj Object
Returns
Type Description
boolean
Overrides

getCloudFunctionMapping()

public Map<String,String> getCloudFunctionMapping()
Returns
Type Description
Map<String,String>

getCloudFunctionMappingCount()

public 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. 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;

Returns
Type Description
int

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;

Returns
Type Description
Map<String,String>

getCloudFunctionMappingOrDefault(String key, String defaultValue)

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;

Parameters
Name Description
key String
defaultValue String
Returns
Type Description
String

getCloudFunctionMappingOrThrow(String key)

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;

Parameter
Name Description
key String
Returns
Type Description
String

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;

Returns
Type Description
boolean

The createDefaultTableIfNotExists.

getDefaultInstanceForType()

public BigQueryConfig getDefaultInstanceForType()
Returns
Type Description
BigQueryConfig

getParserForType()

public Parser<BigQueryConfig> getParserForType()
Returns
Type Description
Parser<BigQueryConfig>
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
Type Description
int
Overrides

getTable()

public String getTable()

BigQuery table resource for Vision AI Platform to ingest annotations to.

string table = 1;

Returns
Type Description
String

The table.

getTableBytes()

public ByteString getTableBytes()

BigQuery table resource for Vision AI Platform to ingest annotations to.

string table = 1;

Returns
Type Description
ByteString

The bytes for table.

getUnknownFields()

public final UnknownFieldSet getUnknownFields()
Returns
Type Description
UnknownFieldSet
Overrides

hashCode()

public int hashCode()
Returns
Type Description
int
Overrides

internalGetFieldAccessorTable()

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

internalGetMapField(int number)

protected MapField internalGetMapField(int number)
Parameter
Name Description
number int
Returns
Type Description
MapField
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

newBuilderForType()

public BigQueryConfig.Builder newBuilderForType()
Returns
Type Description
BigQueryConfig.Builder

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected BigQueryConfig.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
Name Description
parent BuilderParent
Returns
Type Description
BigQueryConfig.Builder
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
Name Description
unused UnusedPrivateParameter
Returns
Type Description
Object
Overrides

toBuilder()

public BigQueryConfig.Builder toBuilder()
Returns
Type Description
BigQueryConfig.Builder

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
Name Description
output CodedOutputStream
Overrides
Exceptions
Type Description
IOException