Deprecated API

Contents

• Deprecated Interfaces
• Deprecated Classes
• Deprecated Methods

Deprecated Interfaces

Interface and Description
org.apache.flink.table.sinks.BatchTableSink use OutputFormatTableSink instead.
org.apache.flink.table.sources.BatchTableSource use InputFormatTableSource instead.

Deprecated Classes

Class and Description
org.apache.flink.table.descriptors.OldCsv Use the RFC-compliant Csv format in the dedicated flink-formats/flink-csv module instead when writing to Kafka.
org.apache.flink.table.descriptors.OldCsvValidator Use the RFC-compliant Csv format in the dedicated flink-formats/flink-csv module instead.

Deprecated Methods

Method and Description
org.apache.flink.table.api.java.StreamTableEnvironment.create(StreamExecutionEnvironment, TableConfig) Use create(StreamExecutionEnvironment) and TableEnvironment.getConfig() for manipulating TableConfig.
org.apache.flink.table.descriptors.OldCsv.deriveSchema() Derivation format schema from table's schema is the default behavior now. So there is no need to explicitly declare to derive schema.
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.sinks.StreamTableSink.emitDataStream(DataStream<T>) This method will be removed in future versions as it returns nothing. It is recommended to use StreamTableSink.consumeDataStream(DataStream) instead which returns the DataStreamSink. The returned DataStreamSink will be used to set resources for the sink operator. If the StreamTableSink.consumeDataStream(DataStream) is implemented, this method can be empty implementation.
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.java.BatchTableEnvironment.insertInto(Table, BatchQueryConfig, String, String...) use TableEnvironment.insertInto(String, Table)
org.apache.flink.table.api.java.StreamTableEnvironment.insertInto(Table, StreamQueryConfig, String, String...) use TableEnvironment.insertInto(String, Table)
org.apache.flink.table.api.java.BatchTableEnvironment.registerDataSet(String, DataSet<T>) use BatchTableEnvironment.createTemporaryView(String, DataSet)
org.apache.flink.table.api.java.BatchTableEnvironment.registerDataSet(String, DataSet<T>, String) use BatchTableEnvironment.createTemporaryView(String, DataSet, String)
org.apache.flink.table.api.java.StreamTableEnvironment.registerDataStream(String, DataStream<T>) use createTemporaryView(String, DataStream)
org.apache.flink.table.api.java.StreamTableEnvironment.registerDataStream(String, DataStream<T>, String) use createTemporaryView(String, DataStream, String)