已过时的列表 (Flink : Table : Common 1.14.6 API)

已过时的接口
接口和说明
org.apache.flink.table.api.constraints.Constraint See `ResolvedSchema` and `Constraint`.
org.apache.flink.table.sources.DefinedFieldMapping This interface will not be supported in the new source design around `DynamicTableSource`. 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`. 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`. Use the concept of computed columns instead. See FLIP-95 for more information.
org.apache.flink.table.descriptors.Descriptor `Descriptor` was primarily used for the legacy connector stack and have been deprecated. Use `TableDescriptor` for creating sources and sinks from the Table API.
org.apache.flink.table.descriptors.DescriptorValidator See `Descriptor` for details.
org.apache.flink.table.sources.FieldComputer This interface will not be supported in the new source design around `DynamicTableSource`. 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org.apache.flink.table.factories.FileSystemFormatFactory This interface has been replaced by `BulkReaderFormatFactory` and `BulkWriterFormatFactory`.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`. 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`. 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`. 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`. 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`. 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`. 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`. 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`. 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. 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. See FLIP-95 for more information.

已过时的类
类和说明
org.apache.flink.table.descriptors.ConnectorDescriptorValidator
org.apache.flink.table.descriptors.DescriptorProperties This utility will be dropped soon. `DynamicTableFactory` is based on `ConfigOption` and catalogs use `CatalogPropertiesUtil`.
org.apache.flink.table.descriptors.FileSystemValidator The legacy CSV connector has been replaced by `FileSource` / `FileSink`. It is kept only to support tests for the legacy connector stack.
org.apache.flink.table.types.utils.LegacyTypeInfoDataTypeConverter Use `DataTypeFactory.createDataType(TypeInformation)` instead. Note that this method will not create legacy types anymore. It fully uses the new type system available only in the planner.
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.descriptors.Rowtime This class was used for legacy connectors using `Descriptor`.
org.apache.flink.table.sources.RowtimeAttributeDescriptor This interface will not be supported in the new source design around `DynamicTableSource`. Use the concept of computed columns instead. See FLIP-95 for more information.
org.apache.flink.table.descriptors.Schema This class was used for legacy connectors using `Descriptor`.
org.apache.flink.table.api.TableColumn See `ResolvedSchema` and `Column`.
org.apache.flink.table.api.TableSchema This class has been deprecated as part of FLIP-164. It has been replaced by two more dedicated classes `Schema` and `ResolvedSchema`. Use `Schema` for declaration in APIs. `ResolvedSchema` is offered by the framework after resolution and validation.
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`. 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 `DataType`s based on `LogicalType`s. Use `LogicalTypeParser` instead.
org.apache.flink.table.api.constraints.UniqueConstraint See `ResolvedSchema` and `UniqueConstraint`.
org.apache.flink.table.api.WatermarkSpec See `ResolvedSchema` and `WatermarkSpec`.

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.module.CommonModuleOptions.MODULE_TYPE This is only required for the legacy factory stack
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.CatalogFactory.createCatalog(String, Map<String, String>) Use `this#createCatalog(Context)` instead and implement `Factory` instead of `TableFactory`.
org.apache.flink.table.factories.ModuleFactory.createModule(Map<String, String>) Use `ModuleFactory.createModule(Context)` instead and implement `Factory` instead of `TableFactory`.
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.types.utils.TypeConversions.fromDataTypeToLegacyInfo(DataType) Please don't use this method anymore. It will be removed soon and we should not make the removal more painful.
org.apache.flink.table.types.utils.TypeConversions.fromDataTypeToLegacyInfo(DataType[]) Please don't use this method anymore. It will be removed soon and we should not make the removal more painful.
org.apache.flink.table.types.utils.TypeConversions.fromLegacyInfoToDataType(TypeInformation<?>) Please don't use this method anymore. It will be removed soon and we should not make the removal more painful.
org.apache.flink.table.types.utils.TypeConversions.fromLegacyInfoToDataType(TypeInformation<?>[]) Please don't use this method anymore. It will be removed soon and we should not make the removal more painful.
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.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.CatalogBaseTable.getSchema() This method returns the deprecated `TableSchema` class. The old class was a hybrid of resolved and unresolved schema information. It has been replaced by the new `Schema` which is always unresolved and will be resolved by the framework later.
org.apache.flink.table.catalog.ResolvedCatalogBaseTable.getSchema() This method returns the deprecated `TableSchema` class. The old class was a hybrid of resolved and unresolved schema information. It has been replaced by the new `ResolvedSchema` which is resolved by the framework and accessible via `ResolvedCatalogBaseTable.getResolvedSchema()`.
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.factories.CatalogFactory.requiredContext() Implement the `Factory` based stack instead.
org.apache.flink.table.factories.ModuleFactory.requiredContext() Implement the `Factory` based stack instead.
org.apache.flink.table.factories.CatalogFactory.supportedProperties() Implement the `Factory` based stack instead.
org.apache.flink.table.factories.ModuleFactory.supportedProperties() Implement the `Factory` based stack instead.
org.apache.flink.table.catalog.CatalogTable.toProperties() Only a `ResolvedCatalogTable` is serializable to properties.
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.

已过时的 API

目录