已过时的 API

目录

• 已过时的接口
• 已过时的类
• 已过时的字段
• 已过时的方法
• 已过时的构造器

已过时的接口

接口和说明
org.apache.flink.table.sources.DefinedFieldMapping This interface will not be supported in the new source design around DynamicTableSource which only works with the Blink planner. See FLIP-95 for more information.
org.apache.flink.table.sources.DefinedProctimeAttribute This interface will not be supported in the new source design around DynamicTableSource which only works with the Blink planner. Use the concept of computed columns instead. See FLIP-95 for more information.
org.apache.flink.table.sources.DefinedRowtimeAttributes This interface will not be supported in the new source design around DynamicTableSource which only works with the Blink planner. Use the concept of computed columns instead. See FLIP-95 for more information.
org.apache.flink.table.sources.FieldComputer This interface will not be supported in the new source design around DynamicTableSource which only works with the Blink planner. Use the concept of computed columns instead. See FLIP-95 for more information.
org.apache.flink.table.factories.FileSystemFormatFactory This interface has been replaced by BulkReaderFormatFactory and BulkWriterFormatFactory.
org.apache.flink.table.sources.FilterableTableSource This interface will not be supported in the new source design around DynamicTableSource which only works with the Blink planner. Use SupportsFilterPushDown instead. See FLIP-95 for more information.
org.apache.flink.table.sources.LimitableTableSource This interface will not be supported in the new source design around DynamicTableSource which only works with the Blink planner. Use SupportsLimitPushDown instead. See FLIP-95 for more information.
org.apache.flink.table.sources.LookupableTableSource This interface will not be supported in the new source design around DynamicTableSource which only works with the Blink planner. Use LookupTableSource instead. See FLIP-95 for more information.
org.apache.flink.table.sources.NestedFieldsProjectableTableSource This interface will not be supported in the new source design around DynamicTableSource which only works with the Blink planner. Use SupportsProjectionPushDown instead. See FLIP-95 for more information.
org.apache.flink.table.sinks.OverwritableTableSink This interface will not be supported in the new sink design around DynamicTableSink which only works with the Blink planner. Use SupportsOverwrite instead. See FLIP-95 for more information.
org.apache.flink.table.sinks.PartitionableTableSink This interface will not be supported in the new sink design around DynamicTableSink which only works with the Blink planner. Use SupportsPartitioning instead. See FLIP-95 for more information.
org.apache.flink.table.sources.PartitionableTableSource This interface will not be supported in the new source design around DynamicTableSource which only works with the Blink planner. Use SupportsPartitionPushDown instead. See FLIP-95 for more information.
org.apache.flink.table.sources.ProjectableTableSource This interface will not be supported in the new source design around DynamicTableSource which only works with the Blink planner. Use SupportsProjectionPushDown instead. See FLIP-95 for more information.
org.apache.flink.table.sinks.TableSink This interface has been replaced by DynamicTableSink. The new interface consumes internal data structures and only works with the Blink planner. See FLIP-95 for more information.
org.apache.flink.table.sources.TableSource This interface has been replaced by DynamicTableSource. The new interface produces internal data structures and only works with the Blink planner. See FLIP-95 for more information.

已过时的类

类和说明
org.apache.flink.table.dataview.ListViewSerializer
org.apache.flink.table.dataview.ListViewSerializerSnapshot
org.apache.flink.table.dataview.ListViewTypeInfo
org.apache.flink.table.dataview.ListViewTypeInfoFactory
org.apache.flink.table.dataview.MapViewSerializer
org.apache.flink.table.dataview.MapViewSerializerSnapshot
org.apache.flink.table.dataview.MapViewTypeInfo
org.apache.flink.table.dataview.MapViewTypeInfoFactory
org.apache.flink.table.dataview.NullAwareMapSerializer
org.apache.flink.table.dataview.NullAwareMapSerializerSnapshot
org.apache.flink.table.sources.RowtimeAttributeDescriptor This interface will not be supported in the new source design around DynamicTableSource which only works with the Blink planner. Use the concept of computed columns instead. See FLIP-95 for more information.
org.apache.flink.table.util.TableConnectorUtil Use TableConnectorUtils instead.
org.apache.flink.table.typeutils.TimeIndicatorTypeInfo This class will be removed in future versions as it is used for the old type system. It is recommended to use DataTypes instead. 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.typeutils.TimeIntervalTypeInfo This class will be removed in future versions as it is used for the old type system. It is recommended to use DataTypes instead. 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.sources.tsextractors.TimestampExtractor This interface will not be supported in the new source design around DynamicTableSource which only works with the Blink planner. Use the concept of computed columns instead. See FLIP-95 for more information.
org.apache.flink.table.types.logical.TypeInformationRawType Use RawType instead.
org.apache.flink.table.api.Types This class will be removed in future versions as it uses the old type system. It is recommended to use DataTypes instead which uses the new type system based on instances of DataType. 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.utils.TypeStringUtils This utility is based on TypeInformation. However, the Table & SQL API is currently updated to use DataTypes based on LogicalTypes. Use LogicalTypeParser instead.

已过时的字段

字段和说明
org.apache.flink.table.api.dataview.ListView.elementType
org.apache.flink.table.api.dataview.MapView.keyType
org.apache.flink.table.descriptors.Schema.SCHEMA_TYPE Schema uses the legacy type key (e.g. schema.0.type = LONG) to store type information in prior v1.9. Since v1.10, Schema uses data type key (e.g. schema.0.data-type = BIGINT) to store types.
org.apache.flink.table.api.dataview.MapView.valueType

已过时的方法

方法和说明
org.apache.flink.table.sinks.TableSink.configure(String[], TypeInformation<?>[]) This method will be dropped in future versions. It is recommended to pass a static schema when instantiating the sink instead.
org.apache.flink.table.factories.TableSinkFactory.createTableSink(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.TableSinkFactory.createTableSink(ObjectPath, CatalogTable) TableSinkFactory.Context contains more information, and already contains table schema too. Please use TableSinkFactory.createTableSink(Context) instead.
org.apache.flink.table.factories.TableSourceFactory.createTableSource(Map<String, String>) TableSourceFactory.Context contains more information, and already contains table schema too. Please use TableSourceFactory.createTableSource(Context) instead.
org.apache.flink.table.factories.TableSourceFactory.createTableSource(ObjectPath, CatalogTable) TableSourceFactory.Context contains more information, and already contains table schema too. Please use TableSourceFactory.createTableSource(Context) instead.
org.apache.flink.table.descriptors.Schema.field(String, TypeInformation<?>) This method will be removed in future versions as it uses the old type system. Please use Schema.field(String, DataType) instead.
org.apache.flink.table.api.TableSchema.Builder.field(String, TypeInformation<?>) This method will be removed in future versions as it uses the old type system. It is recommended to use TableSchema.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.TableSchema.fromTypeInfo(TypeInformation<?>) This method will be removed soon. Use DataTypes to declare types.
org.apache.flink.table.functions.ImperativeAggregateFunction.getAccumulatorType() This method uses the old type system and is based on the old reflective extraction logic. The method will be removed in future versions and is only called when using the deprecated TableEnvironment.registerFunction(...) method. The new reflective extraction logic (possibly enriched with DataTypeHint and FunctionHint) should be powerful enough to cover most use cases. For advanced users, it is possible to override UserDefinedFunction.getTypeInference(DataTypeFactory).
org.apache.flink.table.sinks.TableSink.getFieldNames() Use the field names of TableSink.getTableSchema() instead.
org.apache.flink.table.api.TableSchema.getFieldType(int) This method will be removed in future versions as it uses the old type system. It is recommended to use TableSchema.getFieldDataType(int) 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.TableSchema.getFieldType(String) This method will be removed in future versions as it uses the old type system. It is recommended to use TableSchema.getFieldDataType(String) 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.sinks.TableSink.getFieldTypes() Use the field types of TableSink.getTableSchema() instead.
org.apache.flink.table.api.TableSchema.getFieldTypes() This method will be removed in future versions as it uses the old type system. It is recommended to use TableSchema.getFieldDataTypes() 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.plan.stats.ColumnStats.getMaxValue()
org.apache.flink.table.plan.stats.ColumnStats.getMinValue()
org.apache.flink.table.sinks.TableSink.getOutputType() This method will be removed in future versions as it uses the old type system. It is recommended to use TableSink.getConsumedDataType() 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.functions.ScalarFunction.getParameterTypes(Class<?>[]) This method uses the old type system and is based on the old reflective extraction logic. The method will be removed in future versions and is only called when using the deprecated TableEnvironment.registerFunction(...) method. The new reflective extraction logic (possibly enriched with DataTypeHint and FunctionHint) should be powerful enough to cover most use cases. For advanced users, it is possible to override UserDefinedFunction.getTypeInference(DataTypeFactory).
org.apache.flink.table.functions.TableFunction.getParameterTypes(Class<?>[]) This method uses the old type system and is based on the old reflective extraction logic. The method will be removed in future versions and is only called when using the deprecated TableEnvironment.registerFunction(...) method. The new reflective extraction logic (possibly enriched with DataTypeHint and FunctionHint) should be powerful enough to cover most use cases. For advanced users, it is possible to override UserDefinedFunction.getTypeInference(DataTypeFactory).
org.apache.flink.table.catalog.CatalogBaseTable.getProperties() Use CatalogBaseTable.getOptions().
org.apache.flink.table.functions.TableFunction.getResultType() This method uses the old type system and is based on the old reflective extraction logic. The method will be removed in future versions and is only called when using the deprecated TableEnvironment.registerFunction(...) method. The new reflective extraction logic (possibly enriched with DataTypeHint and FunctionHint) should be powerful enough to cover most use cases. For advanced users, it is possible to override UserDefinedFunction.getTypeInference(DataTypeFactory).
org.apache.flink.table.functions.ImperativeAggregateFunction.getResultType() This method uses the old type system and is based on the old reflective extraction logic. The method will be removed in future versions and is only called when using the deprecated TableEnvironment.registerFunction(...) method. The new reflective extraction logic (possibly enriched with DataTypeHint and FunctionHint) should be powerful enough to cover most use cases. For advanced users, it is possible to override UserDefinedFunction.getTypeInference(DataTypeFactory).
org.apache.flink.table.functions.ScalarFunction.getResultType(Class<?>[]) This method uses the old type system and is based on the old reflective extraction logic. The method will be removed in future versions and is only called when using the deprecated TableEnvironment.registerFunction(...) method. The new reflective extraction logic (possibly enriched with DataTypeHint and FunctionHint) should be powerful enough to cover most use cases. For advanced users, it is possible to override UserDefinedFunction.getTypeInference(DataTypeFactory).
org.apache.flink.table.sources.TableSource.getReturnType() This method will be removed in future versions as it uses the old type system. It is recommended to use TableSource.getProducedDataType() 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.catalog.Catalog.getTableFactory() Use Catalog.getFactory() for the new factory stack. The new factory stack uses the new table sources and sinks defined in FLIP-95 and a slightly different discovery mechanism.
org.apache.flink.table.sources.TableSource.getTableSchema() Table schema is a logical description of a table and should not be part of the physical TableSource. Define schema when registering a Table either in DDL or in TableEnvironment#connect(...).
org.apache.flink.table.api.TableColumn.of(String, DataType) Use TableColumn.physical(String, DataType) instead.
org.apache.flink.table.api.TableColumn.of(String, DataType, String) Use TableColumn.computed(String, DataType, String) instead.
org.apache.flink.table.api.TableSchema.toRowType() Use TableSchema.toRowDataType() instead.

已过时的构造器

构造器和说明
org.apache.flink.table.plan.stats.ColumnStats(Long, Long, Double, Integer, Number, Number)
org.apache.flink.table.api.dataview.ListView(TypeInformation<?>) This method uses the old type system. Please use a DataTypeHint instead if the reflective type extraction is not successful.
org.apache.flink.table.api.dataview.MapView(TypeInformation<?>, TypeInformation<?>) This method uses the old type system. Please use a DataTypeHint instead if the reflective type extraction is not successful.
org.apache.flink.table.api.TableSchema(String[], TypeInformation<?>[]) Use the TableSchema.Builder instead.