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.bridge.java.StreamTableEnvironment.connect(ConnectorDescriptor) The SQL CREATE TABLE DDL is richer than this part of the API. This method might be refactored in the next versions. Please use executeSql(ddl) to register a table instead.
org.apache.flink.table.api.bridge.java.BatchTableEnvironment.connect(ConnectorDescriptor) The SQL CREATE TABLE DDL is richer than this part of the API. This method might be refactored in the next versions. Please use executeSql(ddl) to register a table instead.
org.apache.flink.table.api.bridge.java.StreamTableEnvironment.create(StreamExecutionEnvironment, TableConfig) Use StreamTableEnvironment.create(StreamExecutionEnvironment) and TableEnvironment.getConfig() for manipulating TableConfig.
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.BatchTableEnvironment.createTemporaryView(String, DataSet<T>, String) use BatchTableEnvironment.createTemporaryView(String, DataSet, Expression...)
org.apache.flink.table.api.bridge.java.StreamTableEnvironment.createTemporaryView(String, DataStream<T>, String) use StreamTableEnvironment.createTemporaryView(String, DataStream, Expression...)
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.descriptors.OldCsv.field(String, DataType) OldCsv supports derive schema from table schema by default, it is no longer necessary to explicitly declare the format schema. This method will be removed in the future.
org.apache.flink.table.descriptors.OldCsv.field(String, String) OldCsv supports derive schema from table schema by default, it is no longer necessary to explicitly declare the format schema. This method will be removed in the future.
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.descriptors.OldCsv.field(String, TypeInformation<?>) OldCsv supports derive schema from table schema by default, it is no longer necessary to explicitly declare the format schema. This method will be removed in the future.
org.apache.flink.table.api.bridge.java.BatchTableEnvironment.fromDataSet(DataSet<T>, String) use BatchTableEnvironment.fromDataSet(DataSet, Expression...)
org.apache.flink.table.api.bridge.java.StreamTableEnvironment.fromDataStream(DataStream<T>, String) use StreamTableEnvironment.fromDataStream(DataStream, Expression...)
org.apache.flink.table.api.bridge.java.BatchTableEnvironment.registerDataSet(String, DataSet<T>) use BatchTableEnvironment.createTemporaryView(String, DataSet)
org.apache.flink.table.api.bridge.java.BatchTableEnvironment.registerDataSet(String, DataSet<T>, String) use BatchTableEnvironment.createTemporaryView(String, DataSet, String)
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.registerDataStream(String, DataStream<T>, String) use StreamTableEnvironment.createTemporaryView(String, DataStream, Expression...)
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.descriptors.OldCsv.schema(TableSchema) OldCsv supports derive schema from table schema by default, it is no longer necessary to explicitly declare the format schema. This method will be removed in the future.