已过时的 API

目录

• 已过时的类
• 已过时的方法
• 已过时的构造器

已过时的类

类和说明
org.apache.flink.streaming.connectors.kafka.partitioner.FlinkKafkaDelegatePartitioner Delegate for KafkaPartitioner, use FlinkKafkaPartitioner instead
org.apache.flink.streaming.util.serialization.JSONDeserializationSchema Please use JsonNodeDeserializationSchema in the "flink-json" module.
org.apache.flink.streaming.util.serialization.JsonRowDeserializationSchema Please use JsonRowDeserializationSchema in the "flink-json" module.
org.apache.flink.streaming.util.serialization.JsonRowSerializationSchema Please use JsonRowSerializationSchema in the "flink-json" module.
org.apache.flink.streaming.connectors.kafka.KafkaAvroTableSource Use the Kafka descriptor together with descriptors for schema and format instead. Descriptors allow for implementation-agnostic definition of tables. See also TableEnvironment.connect(ConnectorDescriptor).
org.apache.flink.streaming.connectors.kafka.KafkaAvroTableSource.Builder Use the Kafka descriptor together with descriptors for schema and format instead. Descriptors allow for implementation-agnostic definition of tables. See also TableEnvironment.connect(ConnectorDescriptor).
org.apache.flink.streaming.connectors.kafka.KafkaJsonTableSink Use table descriptors instead of implementation-specific classes.
org.apache.flink.streaming.connectors.kafka.KafkaJsonTableSource Use the Kafka descriptor together with descriptors for schema and format instead. Descriptors allow for implementation-agnostic definition of tables. See also TableEnvironment.connect(ConnectorDescriptor).
org.apache.flink.streaming.connectors.kafka.KafkaJsonTableSource.Builder Use the Kafka descriptor together with descriptors for schema and format instead. Descriptors allow for implementation-agnostic definition of tables. See also TableEnvironment.connect(ConnectorDescriptor).
org.apache.flink.streaming.connectors.kafka.partitioner.KafkaPartitioner This partitioner does not handle partitioning properly in the case of multiple topics, and has been deprecated. Please use FlinkKafkaPartitioner instead.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder Use the Kafka descriptor together with descriptors for schema and format instead. Descriptors allow for implementation-agnostic definition of tables. See also TableEnvironment.connect(ConnectorDescriptor).

已过时的方法

方法和说明
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.build() Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.builder() Use the Kafka descriptor together with descriptors for schema and format instead. Descriptors allow for implementation-agnostic definition of tables. See also TableEnvironment.connect(ConnectorDescriptor).
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.configureTableSource(T) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaJsonTableSource.Builder.configureTableSource(T) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSink.createCopy()
org.apache.flink.streaming.connectors.kafka.KafkaTableSink.createSerializationSchema(RowTypeInfo) Use the constructor to pass a serialization schema instead.
org.apache.flink.streaming.connectors.kafka.KafkaJsonTableSource.Builder.failOnMissingField(boolean) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaAvroTableSource.Builder.forAvroRecordClass(Class<? extends SpecificRecordBase>) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaJsonTableSource.Builder.forJsonSchema(TableSchema) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.forTopic(String) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.fromEarliest() Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.fromGroupOffsets() Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.fromLatest() Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.fromSpecificOffsets(Map<KafkaTopicPartition, Long>) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaAvroTableSource.Builder.getAvroRecordClass() Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaJsonTableSource.Builder.getJsonSchema() Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.getKafkaProps() Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.getTableSchema() Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.getTopic() Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaJsonTableSource.setFailOnMissingField(boolean) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.setFieldMapping(Map<String, String>) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.setProctimeAttribute(String) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.setRowtimeAttributeDescriptors(List<RowtimeAttributeDescriptor>) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.setSpecificStartupOffsets(Map<KafkaTopicPartition, Long>) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.setStartupMode(StartupMode) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.supportsKafkaTimestamps() Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.withKafkaProperties(Properties) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.withKafkaTimestampAsRowtimeAttribute(String, WatermarkStrategy) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.withProctimeAttribute(String) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.withRowtimeAttribute(String, TimestampExtractor, WatermarkStrategy) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSource.Builder.withSchema(TableSchema) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaAvroTableSource.Builder.withTableToAvroMapping(Map<String, String>) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaJsonTableSource.Builder.withTableToJsonMapping(Map<String, String>) Use table descriptors instead of implementation-specific builders.

已过时的构造器

构造器和说明
org.apache.flink.streaming.util.serialization.JsonRowDeserializationSchema(TypeInformation<Row>) Please use JsonRowDeserializationSchema in the "flink-json" module.
org.apache.flink.streaming.util.serialization.JsonRowSerializationSchema(TypeInformation<Row>) Please use JsonRowSerializationSchema in the "flink-json" module.
org.apache.flink.streaming.connectors.kafka.KafkaAvroTableSource(String, Properties, TableSchema, Class<? extends SpecificRecordBase>) Use the Kafka descriptor together with descriptors for schema and format instead. Descriptors allow for implementation-agnostic definition of tables. See also TableEnvironment.connect(ConnectorDescriptor).
org.apache.flink.streaming.connectors.kafka.KafkaJsonTableSink(String, Properties, FlinkKafkaPartitioner<Row>) Use table descriptors instead of implementation-specific classes.
org.apache.flink.streaming.connectors.kafka.KafkaJsonTableSource(String, Properties, TableSchema, TableSchema) Use table descriptors instead of implementation-specific builders.
org.apache.flink.streaming.connectors.kafka.KafkaTableSink(String, Properties, FlinkKafkaPartitioner<Row>) Use table descriptors instead of implementation-specific classes.