Deprecated List (Flink : Table : API Java bridge 1.19.2-cp1 API)

Interfaces
Interface	Description
org.apache.flink.table.connector.source.SourceFunctionProvider	This interface is based on the `SourceFunction` API, which is due to be removed. Use `SourceProvider` instead.
org.apache.flink.table.factories.StreamTableSinkFactory	This interface has been replaced by `DynamicTableSinkFactory`. The new interface creates instances of `DynamicTableSink`. See FLIP-95 for more information.
org.apache.flink.table.factories.StreamTableSourceFactory	This interface has been replaced by `DynamicTableSourceFactory`. The new interface creates instances of `DynamicTableSource`. See FLIP-95 for more information.
org.apache.flink.table.sinks.AppendStreamTableSink	This interface has been replaced by `DynamicTableSink`. The new interface consumes internal data structures. See FLIP-95 for more information.
org.apache.flink.table.sinks.RetractStreamTableSink	This interface has been replaced by `DynamicTableSink`. The new interface consumes internal data structures. See FLIP-95 for more information.
org.apache.flink.table.sinks.StreamTableSink	This interface has been replaced by `DynamicTableSink`. The new interface consumes internal data structures. See FLIP-95 for more information.
org.apache.flink.table.sinks.UpsertStreamTableSink	This interface has been replaced by `DynamicTableSink`. The new interface consumes internal data structures. See FLIP-95 for more information.
org.apache.flink.table.sources.StreamTableSource	This interface has been replaced by `DynamicTableSource`. The new interface produces internal data structures. See FLIP-95 for more information.

Classes
Class	Description
org.apache.flink.table.descriptors.OldCsvValidator	Use the RFC-compliant `Csv` format in the dedicated flink-formats/flink-csv module instead.
org.apache.flink.table.descriptors.RowtimeValidator	See `Rowtime` for details.
org.apache.flink.table.descriptors.SchemaValidator	See `Schema` for details.
org.apache.flink.table.sinks.CsvAppendTableSinkFactory	The legacy CSV connector has been replaced by `FileSink`. It is kept only to support tests for the legacy connector stack.
org.apache.flink.table.sinks.CsvBatchTableSinkFactory	The legacy CSV connector has been replaced by `FileSink`. It is kept only to support tests for the legacy connector stack.
org.apache.flink.table.sinks.CsvTableSink	The legacy CSV connector has been replaced by `FileSink`. It is kept only to support tests for the legacy connector stack.
org.apache.flink.table.sinks.CsvTableSinkFactoryBase	The legacy CSV connector has been replaced by `FileSink`. It is kept only to support tests for the legacy connector stack.
org.apache.flink.table.sinks.OutputFormatTableSink	This interface has been replaced by `DynamicTableSink`. The new interface consumes internal data structures. See FLIP-95 for more information.
org.apache.flink.table.sources.CsvAppendTableSourceFactory	The legacy CSV connector has been replaced by `FileSource`. It is kept only to support tests for the legacy connector stack.
org.apache.flink.table.sources.CsvBatchTableSourceFactory	The legacy CSV connector has been replaced by `FileSource`. It is kept only to support tests for the legacy connector stack.
org.apache.flink.table.sources.CsvTableSource	The legacy CSV connector has been replaced by `FileSource`. It is kept only to support tests for the legacy connector stack.
org.apache.flink.table.sources.CsvTableSourceFactoryBase	The legacy CSV connector has been replaced by `FileSource`. It is kept only to support tests for the legacy connector stack.
org.apache.flink.table.sources.InputFormatTableSource	This interface has been replaced by `DynamicTableSource`. The new interface produces internal data structures. See FLIP-95 for more information.

Methods
Method	Description
org.apache.flink.table.api.bridge.java.StreamTableEnvironment.createTemporaryView(String, DataStream<T>, Expression...)	Use `StreamTableEnvironment.createTemporaryView(String, DataStream, Schema)` instead. In most cases, `StreamTableEnvironment.createTemporaryView(String, DataStream)` should already be sufficient. It integrates with the new type system and supports all kinds of `DataTypes` that the table runtime can consume. The semantics might be slightly different for raw and structured types.
org.apache.flink.table.api.bridge.java.StreamTableEnvironment.fromDataStream(DataStream<T>, Expression...)	Use `StreamTableEnvironment.fromDataStream(DataStream, Schema)` instead. In most cases, `StreamTableEnvironment.fromDataStream(DataStream)` should already be sufficient. It integrates with the new type system and supports all kinds of `DataTypes` that the table runtime can consume. The semantics might be slightly different for raw and structured types.
org.apache.flink.table.api.bridge.java.StreamTableEnvironment.registerDataStream(String, DataStream<T>)	use `StreamTableEnvironment.createTemporaryView(String, DataStream)`
org.apache.flink.table.api.bridge.java.StreamTableEnvironment.registerFunction(String, TableFunction<T>)	Use `TableEnvironment.createTemporarySystemFunction(String, UserDefinedFunction)` instead. Please note that the new method also uses the new type system and reflective extraction logic. It might be necessary to update the function implementation as well. See the documentation of `TableFunction` for more information on the new function design.
org.apache.flink.table.api.bridge.java.StreamTableEnvironment.toAppendStream(Table, Class<T>)	Use `StreamTableEnvironment.toDataStream(Table, Class)` instead. It integrates with the new type system and supports all kinds of `DataTypes` that the table runtime can produce. The semantics might be slightly different for raw and structured types. Use `toDataStream(DataTypes.of(TypeInformation.of(Class)))` if `TypeInformation` should be used as source of truth.
org.apache.flink.table.api.bridge.java.StreamTableEnvironment.toRetractStream(Table, Class<T>)	Use `StreamTableEnvironment.toChangelogStream(Table, Schema)` instead. It integrates with the new type system and supports all kinds of `DataTypes` and every `ChangelogMode` that the table runtime can produce.
org.apache.flink.table.connector.sink.DataStreamSinkProvider.consumeDataStream(DataStream<RowData>)	Use `DataStreamSinkProvider.consumeDataStream(ProviderContext, DataStream)` and correctly set a unique identifier for each data stream transformation.
org.apache.flink.table.connector.source.DataStreamScanProvider.produceDataStream(StreamExecutionEnvironment)
org.apache.flink.table.descriptors.SchemaValidator.deriveTableSinkSchema(DescriptorProperties)	This method combines two separate concepts of table schema and field mapping. This should be split into two methods once we have support for the corresponding interfaces (see FLINK-9870).
org.apache.flink.table.factories.StreamTableSinkFactory.createStreamTableSink(Map<String, String>)	`TableSinkFactory.Context` contains more information, and already contains table schema too. Please use `TableSinkFactory.createTableSink(Context)` instead.
org.apache.flink.table.factories.StreamTableSourceFactory.createStreamTableSource(Map<String, String>)	`TableSourceFactory.Context` contains more information, and already contains table schema too. Please use `TableSourceFactory.createTableSource(Context)` instead.
org.apache.flink.table.sources.CsvTableSource.Builder.field(String, TypeInformation<?>)	This method will be removed in future versions as it uses the old type system. It is recommended to use `CsvTableSource.Builder.field(String, DataType)` instead which uses the new type system based on `DataTypes`. Please make sure to use either the old or the new type system consistently to avoid unintended behavior. See the website documentation for more information.