Deprecated API

Contents

• Deprecated Interfaces
• Deprecated Classes
• Deprecated Methods

Deprecated Interfaces

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org.apache.flink.table.sinks.AppendStreamTableSink This interface has been replaced by DynamicTableSink.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org.apache.flink.table.sinks.RetractStreamTableSink This interface has been replaced by DynamicTableSink.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org.apache.flink.table.sinks.StreamTableSink This interface has been replaced by DynamicTableSink.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org.apache.flink.table.factories.StreamTableSinkFactory This interface has been replaced by DynamicTableSinkFactory.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org.apache.flink.table.sources.StreamTableSource This interface has been replaced by DynamicTableSource.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org.apache.flink.table.factories.StreamTableSourceFactory This interface has been replaced by DynamicTableSourceFactory.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org.apache.flink.table.sinks.UpsertStreamTableSink This interface has been replaced by DynamicTableSink.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

Deprecated Classes

Class and Description
org.apache.flink.table.sinks.CsvAppendTableSinkFactory The legacy CSV connector has been replaced by FileSink.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org.apache.flink.table.sources.CsvAppendTableSourceFactory The legacy CSV connector has been replaced by FileSource.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org.apache.flink.table.sinks.CsvBatchTableSinkFactory The legacy CSV connector has been replaced by FileSink.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org.apache.flink.table.sources.CsvBatchTableSourceFactory The legacy CSV connector has been replaced by FileSource.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.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.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.
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.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.descriptors.RowtimeValidator See Rowtime for details.
org.apache.flink.table.descriptors.SchemaValidator See Schema for details.

Deprecated Methods

Method and Description
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.factories.StreamTableSinkFactory.createStreamTableSink(Map<String, String>) 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>) Context contains more information, and already contains table schema too. Please use TableSourceFactory.createTableSource(Context) instead.
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.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.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.
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.connector.source.DataStreamScanProvider.produceDataStream(StreamExecutionEnvironment)
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, AggregateFunction<T, ACC>) 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 AggregateFunction for more information on the new function design.
org.apache.flink.table.api.bridge.java.StreamTableEnvironment.registerFunction(String, TableAggregateFunction<T, ACC>) 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 TableAggregateFunction for more information on the new function design.
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.toAppendStream(Table, TypeInformation<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.api.bridge.java.StreamTableEnvironment.toRetractStream(Table, TypeInformation<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.