索引 (Flink : Connectors : Kafka 1.17.1 API)

A B C D E F G H I J K L M N O P R S T U V W

A

abort(FlinkKafkaProducer.KafkaTransactionState) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
abortTransaction() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
AbstractFetcher<T,KPH> - org.apache.flink.streaming.connectors.kafka.internals中的类: Base class for all fetchers, which implement the connections to Kafka brokers and pull records from Kafka partitions.
AbstractFetcher(SourceFunction.SourceContext<T>, Map<KafkaTopicPartition, Long>, SerializedValue<WatermarkStrategy<T>>, ProcessingTimeService, long, ClassLoader, MetricGroup, boolean) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher
AbstractPartitionDiscoverer - org.apache.flink.streaming.connectors.kafka.internals中的类: Base class for all partition discoverers.
AbstractPartitionDiscoverer(KafkaTopicsDescriptor, int, int) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.AbstractPartitionDiscoverer
AbstractPartitionDiscoverer.ClosedException - org.apache.flink.streaming.connectors.kafka.internals中的异常错误: Thrown if this discoverer was used to discover partitions after it was closed.
AbstractPartitionDiscoverer.WakeupException - org.apache.flink.streaming.connectors.kafka.internals中的异常错误: Signaling exception to indicate that an actual Kafka call was interrupted.
acknowledgeMessage() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

ATTENTION to subclass implementors: When overriding this method, please always call super.acknowledgeMessage() to keep the invariants of the internal bookkeeping of the producer.
add(E) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Adds the element to the queue, or fails with an exception, if the queue is closed.
addDiscoveredPartitions(List<KafkaTopicPartition>) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher: Adds a list of newly discovered partitions to the fetcher for consuming.
addIfOpen(E) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Tries to add an element to the queue, if the queue is still open.
addReader(int) - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator
addSplitsBack(List<KafkaPartitionSplit>, int) - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator
adjustAutoCommitConfig(Properties, OffsetCommitMode) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: Make sure that auto commit is disabled when our offset commit mode is ON_CHECKPOINTS.
applyReadableMetadata(List<String>, DataType) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource
applyWatermark(WatermarkStrategy<RowData>) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource
applyWritableMetadata(List<String>, DataType) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink
asRecord() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher.KafkaShuffleElement
assign(KafkaTopicPartition, int) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionAssigner: Returns the index of the target subtask that a specific Kafka partition should be assigned to.
assign(String, int, int) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionAssigner
assignedPartitions() - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumState
assignTimestampsAndWatermarks(WatermarkStrategy<T>) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: Sets the given WatermarkStrategy on this consumer.
assignTimestampsAndWatermarks(AssignerWithPunctuatedWatermarks<T>) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: 已过时。
Please use FlinkKafkaConsumerBase.assignTimestampsAndWatermarks(WatermarkStrategy) instead.
assignTimestampsAndWatermarks(AssignerWithPeriodicWatermarks<T>) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: 已过时。
Please use FlinkKafkaConsumerBase.assignTimestampsAndWatermarks(WatermarkStrategy) instead.
asSummaryString() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink
asSummaryString() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource
asWatermark() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher.KafkaShuffleElement
asyncException - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Errors encountered in the async producer are stored here.
asyncException - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: Errors encountered in the async producer are stored here.

B

beginningOffsets(Collection<TopicPartition>) - 接口中的方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer.PartitionOffsetsRetriever: List beginning offsets for the specified partitions.
beginningOffsets(Collection<TopicPartition>) - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator.PartitionOffsetsRetrieverImpl
beginTransaction() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
beginTransaction() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
BoundedMode - org.apache.flink.streaming.connectors.kafka.config中的枚举: End modes for the Kafka Consumer.
boundedMode - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: The bounded mode for the contained consumer (default is an unbounded data stream).
boundedTimestampMillis - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: The bounded timestamp to locate partition offsets; only relevant when bounded mode is BoundedMode.TIMESTAMP.
build() - 类中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchemaBuilder: Constructs the KafkaRecordSerializationSchemaBuilder with the configured properties.
build() - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSinkBuilder: Constructs the KafkaSink with the configured properties.
build() - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Build the KafkaSource.
builder() - 接口中的静态方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchema: Creates a default schema builder to provide common building blocks i.e. key serialization, value serialization, partitioning.
builder() - 类中的静态方法org.apache.flink.connector.kafka.sink.KafkaSink: Create a KafkaSinkBuilder to construct a new KafkaSink.
builder() - 类中的静态方法org.apache.flink.connector.kafka.source.KafkaSource: Get a kafkaSourceBuilder to build a KafkaSource.
BYTES_CONSUMED_TOTAL - 类中的静态变量org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics

C

callback - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

The callback than handles error propagation or logging callbacks.
callback - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: The callback than handles error propagation or logging callbacks.
cancel() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase
cancel() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher
cancel() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaFetcher
checkAndThrowException() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ExceptionProxy: Checks whether an exception has been set via ExceptionProxy.reportError(Throwable).
checkErroneous() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
checkErroneous() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase
checkpointLock - 类中的变量org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher: The lock that guarantees that record emission and state updates are atomic, from the view of taking a checkpoint.
CLIENT_ID_PREFIX - 类中的静态变量org.apache.flink.connector.kafka.source.KafkaSourceOptions
ClosableBlockingQueue<E> - org.apache.flink.streaming.connectors.kafka.internals中的类: A special form of blocking queue with two additions: The queue can be closed atomically when empty.
ClosableBlockingQueue() - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Creates a new empty queue.
ClosableBlockingQueue(int) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Creates a new empty queue, reserving space for at least the specified number of elements.
ClosableBlockingQueue(Collection<? extends E>) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Creates a new queue that contains the given elements.
close() - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator
close() - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator.PartitionOffsetsRetrieverImpl
close() - 类中的方法org.apache.flink.connector.kafka.source.reader.KafkaPartitionSplitReader
close() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase
close() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
close() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase
close() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractPartitionDiscoverer: Closes the partition discoverer, cleaning up all Kafka connections.
close() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Tries to close the queue.
close() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
close(Duration) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
close() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.Handover: Closes the handover.
closeConnections() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractPartitionDiscoverer: Close all established connections.
closeConnections() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaPartitionDiscoverer
ClosedException() - 异常错误的构造器org.apache.flink.streaming.connectors.kafka.internals.AbstractPartitionDiscoverer.ClosedException
ClosedException() - 异常错误的构造器org.apache.flink.streaming.connectors.kafka.internals.Handover.ClosedException
commit(FlinkKafkaProducer.KafkaTransactionState) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
COMMIT_OFFSETS_ON_CHECKPOINT - 类中的静态变量org.apache.flink.connector.kafka.source.KafkaSourceOptions
commitInternalOffsetsToKafka(Map<KafkaTopicPartition, Long>, KafkaCommitCallback) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher: Commits the given partition offsets to the Kafka brokers (or to ZooKeeper for older Kafka versions).
commitOffsets(Map<TopicPartition, OffsetAndMetadata>, OffsetCommitCallback) - 类中的方法org.apache.flink.connector.kafka.source.reader.fetcher.KafkaSourceFetcherManager
COMMITS_FAILED_METRIC_COUNTER - 类中的静态变量org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics
COMMITS_FAILED_METRICS_COUNTER - 类中的静态变量org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaConsumerMetricConstants
COMMITS_SUCCEEDED_METRIC_COUNTER - 类中的静态变量org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics
COMMITS_SUCCEEDED_METRICS_COUNTER - 类中的静态变量org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaConsumerMetricConstants
COMMITTED_OFFSET - 类中的静态变量org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
COMMITTED_OFFSET_METRIC_GAUGE - 类中的静态变量org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics
COMMITTED_OFFSETS_METRICS_GAUGE - 类中的静态变量org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaConsumerMetricConstants
committedOffsets() - 接口中的静态方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer: Get an OffsetsInitializer which initializes the offsets to the committed offsets.
committedOffsets(OffsetResetStrategy) - 接口中的静态方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer: Get an OffsetsInitializer which initializes the offsets to the committed offsets.
committedOffsets(Collection<TopicPartition>) - 接口中的方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer.PartitionOffsetsRetriever: The group id should be the set for KafkaSource before invoking this method.
committedOffsets(Collection<TopicPartition>) - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator.PartitionOffsetsRetrieverImpl
commitTransaction() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
Comparator() - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition.Comparator
compare(KafkaTopicPartition, KafkaTopicPartition) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition.Comparator
consumedDataType - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: Data type of consumed data type.
CONSUMER_FETCH_MANAGER_GROUP - 类中的静态变量org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics
ContextStateSerializer() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.ContextStateSerializer: 已过时。
ContextStateSerializer() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.ContextStateSerializer
ContextStateSerializerSnapshot() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.ContextStateSerializer.ContextStateSerializerSnapshot: 已过时。
ContextStateSerializerSnapshot() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.ContextStateSerializer.ContextStateSerializerSnapshot
copy(FlinkKafkaProducer.KafkaTransactionContext) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.ContextStateSerializer: 已过时。
copy(FlinkKafkaProducer.KafkaTransactionContext, FlinkKafkaProducer.KafkaTransactionContext) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.ContextStateSerializer: 已过时。
copy(DataInputView, DataOutputView) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.ContextStateSerializer: 已过时。
copy(FlinkKafkaProducer.NextTransactionalIdHint) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHintSerializer: 已过时。
copy(FlinkKafkaProducer.NextTransactionalIdHint, FlinkKafkaProducer.NextTransactionalIdHint) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHintSerializer: 已过时。
copy(DataInputView, DataOutputView) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHintSerializer: 已过时。
copy(FlinkKafkaProducer.KafkaTransactionState) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.TransactionStateSerializer: 已过时。
copy(FlinkKafkaProducer.KafkaTransactionState, FlinkKafkaProducer.KafkaTransactionState) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.TransactionStateSerializer: 已过时。
copy(DataInputView, DataOutputView) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.TransactionStateSerializer: 已过时。
copy() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink
copy() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource
createCommitter() - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSink
createDynamicTableSink(DynamicTableFactory.Context) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicTableFactory
createDynamicTableSink(DynamicTableFactory.Context) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory
createDynamicTableSource(DynamicTableFactory.Context) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicTableFactory
createDynamicTableSource(DynamicTableFactory.Context) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory
createEnumerator(SplitEnumeratorContext<KafkaPartitionSplit>) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSource
createFetcher(SourceFunction.SourceContext<T>, Map<KafkaTopicPartition, Long>, SerializedValue<WatermarkStrategy<T>>, StreamingRuntimeContext, OffsetCommitMode, MetricGroup, boolean) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。
createFetcher(SourceFunction.SourceContext<T>, Map<KafkaTopicPartition, Long>, SerializedValue<WatermarkStrategy<T>>, StreamingRuntimeContext, OffsetCommitMode, MetricGroup, boolean) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: Creates the fetcher that connect to the Kafka brokers, pulls data, deserialized the data, and emits it into the data streams.
createFetcher(SourceFunction.SourceContext<T>, Map<KafkaTopicPartition, Long>, SerializedValue<WatermarkStrategy<T>>, StreamingRuntimeContext, OffsetCommitMode, MetricGroup, boolean) - 类中的方法org.apache.flink.streaming.connectors.kafka.shuffle.FlinkKafkaShuffleConsumer
createInstance() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.ContextStateSerializer: 已过时。
createInstance() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHintSerializer: 已过时。
createInstance() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.TransactionStateSerializer: 已过时。
createKafkaPartitionHandle(KafkaTopicPartition) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher: Creates the Kafka version specific representation of the given topic partition.
createKafkaPartitionHandle(KafkaTopicPartition) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaFetcher
createKafkaSource(DeserializationSchema<RowData>, DeserializationSchema<RowData>, TypeInformation<RowData>) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource
createKafkaTableSink(DataType, EncodingFormat<SerializationSchema<RowData>>, EncodingFormat<SerializationSchema<RowData>>, int[], int[], String, String, Properties, FlinkKafkaPartitioner<RowData>, DeliveryGuarantee, Integer, String) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicTableFactory
createKafkaTableSource(DataType, DecodingFormat<DeserializationSchema<RowData>>, DecodingFormat<DeserializationSchema<RowData>>, int[], int[], String, List<String>, Pattern, Properties, StartupMode, Map<KafkaTopicPartition, Long>, long, BoundedMode, Map<KafkaTopicPartition, Long>, long, String) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicTableFactory
createPartitionDiscoverer(KafkaTopicsDescriptor, int, int) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。
createPartitionDiscoverer(KafkaTopicsDescriptor, int, int) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: Creates the partition discoverer that is used to find new partitions for this subtask.
createProducer() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
createReader(SourceReaderContext) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSource
createRuntimeDecoder(DynamicTableSource.Context, DataType) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory.DecodingFormatWrapper
createRuntimeEncoder(DynamicTableSink.Context, DataType) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory.EncodingFormatWrapper
createWriter(Sink.InitContext) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSink
CURRENT_OFFSET_METRIC_GAUGE - 类中的静态变量org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics
CURRENT_OFFSETS_METRICS_GAUGE - 类中的静态变量org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaConsumerMetricConstants

D

DecodingFormatWrapper(DecodingFormat<DeserializationSchema<RowData>>) - 类的构造器org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory.DecodingFormatWrapper
DEFAULT_KAFKA_PRODUCERS_POOL_SIZE - 类中的静态变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Default number of KafkaProducers in the pool.
DEFAULT_KAFKA_TRANSACTION_TIMEOUT - 类中的静态变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Default value for kafka transaction timeout.
DEFAULT_POLL_TIMEOUT - 类中的静态变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。

From Kafka's Javadoc: The time, in milliseconds, spent waiting in poll if data is not available.
DefaultKafkaSinkContext - org.apache.flink.connector.kafka.sink中的类: Context providing information to assist constructing a ProducerRecord.
DefaultKafkaSinkContext(int, int, Properties) - 类的构造器org.apache.flink.connector.kafka.sink.DefaultKafkaSinkContext
defaultTopicId - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

The name of the default topic this producer is writing data to.
defaultTopicId - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: The name of the default topic this producer is writing data to.
DELIVERY_GUARANTEE - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
deserialize(int, byte[]) - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumStateSerializer
deserialize(ConsumerRecord<byte[], byte[]>, Collector<T>) - 接口中的方法org.apache.flink.connector.kafka.source.reader.deserializer.KafkaRecordDeserializationSchema: Deserializes the byte message.
deserialize(int, byte[]) - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplitSerializer
deserialize(DataInputView) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.ContextStateSerializer: 已过时。
deserialize(FlinkKafkaProducer.KafkaTransactionContext, DataInputView) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.ContextStateSerializer: 已过时。
deserialize(DataInputView) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHintSerializer: 已过时。
deserialize(FlinkKafkaProducer.NextTransactionalIdHint, DataInputView) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHintSerializer: 已过时。
deserialize(DataInputView) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.TransactionStateSerializer: 已过时。
deserialize(FlinkKafkaProducer.KafkaTransactionState, DataInputView) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.TransactionStateSerializer: 已过时。
deserialize(ConsumerRecord<byte[], byte[]>) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper
deserialize(ConsumerRecord<byte[], byte[]>, Collector<T>) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper
deserialize(ConsumerRecord<byte[], byte[]>) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher.KafkaShuffleElementDeserializer
deserialize(ConsumerRecord<byte[], byte[]>) - 接口中的方法org.apache.flink.streaming.connectors.kafka.KafkaDeserializationSchema: Deserializes the Kafka record.
deserialize(ConsumerRecord<byte[], byte[]>, Collector<T>) - 接口中的方法org.apache.flink.streaming.connectors.kafka.KafkaDeserializationSchema: Deserializes the Kafka record.
deserialize(ConsumerRecord<byte[], byte[]>) - 类中的方法org.apache.flink.streaming.util.serialization.JSONKeyValueDeserializationSchema
deserialize(byte[], byte[], String, int, long) - 接口中的方法org.apache.flink.streaming.util.serialization.KeyedDeserializationSchema: 已过时。

Deserializes the byte message.
deserialize(ConsumerRecord<byte[], byte[]>) - 接口中的方法org.apache.flink.streaming.util.serialization.KeyedDeserializationSchema: 已过时。
deserialize(ConsumerRecord<byte[], byte[]>) - 类中的方法org.apache.flink.streaming.util.serialization.TypeInformationKeyValueSerializationSchema
deserializer - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: The schema to convert between Kafka's byte messages, and Flink's objects.
DISABLED - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.SinkBufferFlushMode
disableFilterRestoredPartitionsWithSubscribedTopics() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: By default, when restoring from a checkpoint / savepoint, the consumer always ignores restored partitions that are no longer associated with the current specified topics or topic pattern to subscribe to.
discoverPartitions() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractPartitionDiscoverer: Execute a partition discovery attempt for this subtask.
doCommitInternalOffsetsToKafka(Map<KafkaTopicPartition, Long>, KafkaCommitCallback) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher
doCommitInternalOffsetsToKafka(Map<KafkaTopicPartition, Long>, KafkaCommitCallback) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaFetcher
dropLeaderData(List<KafkaTopicPartitionLeader>) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition

E

earliest() - 接口中的静态方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer: Get an OffsetsInitializer which initializes the offsets to the earliest available offsets of each partition.
EARLIEST_OFFSET - 类中的静态变量org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
EARLIEST_OFFSET - 类中的静态变量org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionStateSentinel: Magic number that defines the partition should start from the earliest offset.
emitRecord(ConsumerRecord<byte[], byte[]>, SourceOutput<T>, KafkaPartitionSplitState) - 类中的方法org.apache.flink.connector.kafka.source.reader.KafkaRecordEmitter
emitRecordsWithTimestamps(Queue<T>, KafkaTopicPartitionState<T, KPH>, long, long) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher: Emits a record attaching a timestamp to it.
emitWatermark(Watermark) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.SourceContextWatermarkOutputAdapter
EncodingFormatWrapper(EncodingFormat<SerializationSchema<RowData>>) - 类的构造器org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory.EncodingFormatWrapper
endOffsets(Collection<TopicPartition>) - 接口中的方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer.PartitionOffsetsRetriever: List end offsets for the specified partitions.
endOffsets(Collection<TopicPartition>) - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator.PartitionOffsetsRetrieverImpl
equals(Object) - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
equals(Object) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.KafkaTransactionContext: 已过时。
equals(Object) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.KafkaTransactionState: 已过时。
equals(Object) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHint: 已过时。
equals(Object) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue
equals(Object) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition
equals(Object) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionLeader
equals(Object) - 类中的方法org.apache.flink.streaming.connectors.kafka.partitioner.FlinkFixedPartitioner
equals(Object) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink
equals(Object) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource
equals(Object) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.SinkBufferFlushMode
equals(Object) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory.DecodingFormatWrapper
equals(Object) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory.EncodingFormatWrapper
ExceptionProxy - org.apache.flink.streaming.connectors.kafka.internals中的类: A proxy that communicates exceptions between threads.
ExceptionProxy(Thread) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.ExceptionProxy: Creates an exception proxy that interrupts the given thread upon report of an exception.
extractTimestamp(T, long) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState
extractTimestamp(T, long) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionStateWithWatermarkGenerator

F

factoryIdentifier() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicTableFactory
factoryIdentifier() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory
fetch() - 类中的方法org.apache.flink.connector.kafka.source.reader.KafkaPartitionSplitReader
fetchOffsetsWithTimestamp(Collection<KafkaTopicPartition>, long) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。
fetchOffsetsWithTimestamp(Collection<KafkaTopicPartition>, long) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase
finishRecoveringContext(Collection<FlinkKafkaProducer.KafkaTransactionState>) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
FlinkFixedPartitioner<T> - org.apache.flink.streaming.connectors.kafka.partitioner中的类: A partitioner ensuring that each internal Flink partition ends up in one Kafka partition.
FlinkFixedPartitioner() - 类的构造器org.apache.flink.streaming.connectors.kafka.partitioner.FlinkFixedPartitioner
FlinkKafkaConsumer<T> - org.apache.flink.streaming.connectors.kafka中的类: 已过时。
FlinkKafkaConsumer(String, DeserializationSchema<T>, Properties) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。

Creates a new Kafka streaming source consumer.
FlinkKafkaConsumer(String, KafkaDeserializationSchema<T>, Properties) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。

Creates a new Kafka streaming source consumer.
FlinkKafkaConsumer(List<String>, DeserializationSchema<T>, Properties) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。

Creates a new Kafka streaming source consumer.
FlinkKafkaConsumer(List<String>, KafkaDeserializationSchema<T>, Properties) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。

Creates a new Kafka streaming source consumer.
FlinkKafkaConsumer(Pattern, DeserializationSchema<T>, Properties) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。

Creates a new Kafka streaming source consumer.
FlinkKafkaConsumer(Pattern, KafkaDeserializationSchema<T>, Properties) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。

Creates a new Kafka streaming source consumer.
FlinkKafkaConsumerBase<T> - org.apache.flink.streaming.connectors.kafka中的类: Base class of all Flink Kafka Consumer data sources.
FlinkKafkaConsumerBase(List<String>, Pattern, KafkaDeserializationSchema<T>, long, boolean) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: Base constructor.
FlinkKafkaErrorCode - org.apache.flink.streaming.connectors.kafka中的枚举: Error codes used in FlinkKafkaException.
FlinkKafkaException - org.apache.flink.streaming.connectors.kafka中的异常错误: Exception used by FlinkKafkaProducer and FlinkKafkaConsumer.
FlinkKafkaException(FlinkKafkaErrorCode, String) - 异常错误的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaException
FlinkKafkaException(FlinkKafkaErrorCode, String, Throwable) - 异常错误的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaException
FlinkKafkaInternalProducer<K,V> - org.apache.flink.streaming.connectors.kafka.internals中的类: Internal flink kafka producer.
FlinkKafkaInternalProducer(Properties) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
flinkKafkaPartitioner - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: User-provided partitioner for assigning an object to a Kafka partition for each topic.
FlinkKafkaPartitioner<T> - org.apache.flink.streaming.connectors.kafka.partitioner中的类: A FlinkKafkaPartitioner wraps logic on how to partition records across partitions of multiple Kafka topics.
FlinkKafkaPartitioner() - 类的构造器org.apache.flink.streaming.connectors.kafka.partitioner.FlinkKafkaPartitioner
FlinkKafkaProducer<IN> - org.apache.flink.streaming.connectors.kafka中的类: 已过时。
Please use KafkaSink.
FlinkKafkaProducer(String, String, SerializationSchema<IN>) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Creates a FlinkKafkaProducer for a given topic.
FlinkKafkaProducer(String, SerializationSchema<IN>, Properties) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Creates a FlinkKafkaProducer for a given topic.
FlinkKafkaProducer(String, SerializationSchema<IN>, Properties, Optional<FlinkKafkaPartitioner<IN>>) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Creates a FlinkKafkaProducer for a given topic.
FlinkKafkaProducer(String, SerializationSchema<IN>, Properties, FlinkKafkaPartitioner<IN>, FlinkKafkaProducer.Semantic, int) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Creates a FlinkKafkaProducer for a given topic.
FlinkKafkaProducer(String, String, KeyedSerializationSchema<IN>) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
use FlinkKafkaProducer.FlinkKafkaProducer(String, KafkaSerializationSchema, Properties, FlinkKafkaProducer.Semantic)
FlinkKafkaProducer(String, KeyedSerializationSchema<IN>, Properties) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
use FlinkKafkaProducer.FlinkKafkaProducer(String, KafkaSerializationSchema, Properties, FlinkKafkaProducer.Semantic)
FlinkKafkaProducer(String, KeyedSerializationSchema<IN>, Properties, FlinkKafkaProducer.Semantic) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
use FlinkKafkaProducer.FlinkKafkaProducer(String, KafkaSerializationSchema, Properties, FlinkKafkaProducer.Semantic)
FlinkKafkaProducer(String, KeyedSerializationSchema<IN>, Properties, Optional<FlinkKafkaPartitioner<IN>>) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
use FlinkKafkaProducer.FlinkKafkaProducer(String, KafkaSerializationSchema, Properties, FlinkKafkaProducer.Semantic)
FlinkKafkaProducer(String, KeyedSerializationSchema<IN>, Properties, Optional<FlinkKafkaPartitioner<IN>>, FlinkKafkaProducer.Semantic, int) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
use FlinkKafkaProducer.FlinkKafkaProducer(String, KafkaSerializationSchema, Properties, FlinkKafkaProducer.Semantic)
FlinkKafkaProducer(String, KafkaSerializationSchema<IN>, Properties, FlinkKafkaProducer.Semantic) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Creates a FlinkKafkaProducer for a given topic.
FlinkKafkaProducer(String, KafkaSerializationSchema<IN>, Properties, FlinkKafkaProducer.Semantic, int) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Creates a FlinkKafkaProducer for a given topic.
FlinkKafkaProducer.ContextStateSerializer - org.apache.flink.streaming.connectors.kafka中的类: 已过时。

TypeSerializer for FlinkKafkaProducer.KafkaTransactionContext.
FlinkKafkaProducer.ContextStateSerializer.ContextStateSerializerSnapshot - org.apache.flink.streaming.connectors.kafka中的类: 已过时。

Serializer configuration snapshot for compatibility and format evolution.
FlinkKafkaProducer.KafkaTransactionContext - org.apache.flink.streaming.connectors.kafka中的类: 已过时。

Context associated to this instance of the FlinkKafkaProducer.
FlinkKafkaProducer.KafkaTransactionState - org.apache.flink.streaming.connectors.kafka中的类: 已过时。

State for handling transactions.
FlinkKafkaProducer.NextTransactionalIdHint - org.apache.flink.streaming.connectors.kafka中的类: 已过时。

Keep information required to deduce next safe to use transactional id.
FlinkKafkaProducer.NextTransactionalIdHintSerializer - org.apache.flink.streaming.connectors.kafka中的类: 已过时。

TypeSerializer for FlinkKafkaProducer.NextTransactionalIdHint.
FlinkKafkaProducer.NextTransactionalIdHintSerializer.NextTransactionalIdHintSerializerSnapshot - org.apache.flink.streaming.connectors.kafka中的类: 已过时。

Serializer configuration snapshot for compatibility and format evolution.
FlinkKafkaProducer.Semantic - org.apache.flink.streaming.connectors.kafka中的枚举: 已过时。

Semantics that can be chosen.
FlinkKafkaProducer.TransactionStateSerializer - org.apache.flink.streaming.connectors.kafka中的类: 已过时。

TypeSerializer for FlinkKafkaProducer.KafkaTransactionState.
FlinkKafkaProducer.TransactionStateSerializer.TransactionStateSerializerSnapshot - org.apache.flink.streaming.connectors.kafka中的类: 已过时。

Serializer configuration snapshot for compatibility and format evolution.
FlinkKafkaProducer011 - org.apache.flink.streaming.connectors.kafka中的类: Compatibility class to make migration possible from the 0.11 connector to the universal one.
FlinkKafkaProducer011() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011
FlinkKafkaProducer011.ContextStateSerializer - org.apache.flink.streaming.connectors.kafka中的类
FlinkKafkaProducer011.ContextStateSerializer.ContextStateSerializerSnapshot - org.apache.flink.streaming.connectors.kafka中的类
FlinkKafkaProducer011.NextTransactionalIdHint - org.apache.flink.streaming.connectors.kafka中的类
FlinkKafkaProducer011.NextTransactionalIdHintSerializer - org.apache.flink.streaming.connectors.kafka中的类
FlinkKafkaProducer011.NextTransactionalIdHintSerializer.NextTransactionalIdHintSerializerSnapshot - org.apache.flink.streaming.connectors.kafka中的类
FlinkKafkaProducer011.TransactionStateSerializer - org.apache.flink.streaming.connectors.kafka中的类
FlinkKafkaProducer011.TransactionStateSerializer.TransactionStateSerializerSnapshot - org.apache.flink.streaming.connectors.kafka中的类
FlinkKafkaProducerBase<IN> - org.apache.flink.streaming.connectors.kafka中的类: Flink Sink to produce data into a Kafka topic.
FlinkKafkaProducerBase(String, KeyedSerializationSchema<IN>, Properties, FlinkKafkaPartitioner<IN>) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: The main constructor for creating a FlinkKafkaProducer.
FlinkKafkaShuffle - org.apache.flink.streaming.connectors.kafka.shuffle中的类: FlinkKafkaShuffle uses Kafka as a message bus to shuffle and persist data at the same time.
FlinkKafkaShuffle() - 类的构造器org.apache.flink.streaming.connectors.kafka.shuffle.FlinkKafkaShuffle
FlinkKafkaShuffleConsumer<T> - org.apache.flink.streaming.connectors.kafka.shuffle中的类: Flink Kafka Shuffle Consumer Function.
FlinkKafkaShuffleProducer<IN,KEY> - org.apache.flink.streaming.connectors.kafka.shuffle中的类: Flink Kafka Shuffle Producer Function.
FlinkKafkaShuffleProducer.KafkaSerializer<IN> - org.apache.flink.streaming.connectors.kafka.shuffle中的类: Flink Kafka Shuffle Serializer.
flush() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: Flush pending records.
flush() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
flushMode - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: Sink buffer flush config which only supported in upsert mode now.
flushOnCheckpoint - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: If true, the producer will wait until all outstanding records have been send to the broker.
forwardOptions() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicTableFactory
fromConfiguration(boolean, boolean, boolean) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.config.OffsetCommitModes: Determine the offset commit mode using several configuration values.

G

generateIdsToAbort() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.TransactionalIdsGenerator: If we have to abort previous transactional id in case of restart after a failure BEFORE first checkpoint completed, we don't know what was the parallelism used in previous attempt.
generateIdsToUse(long) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.TransactionalIdsGenerator: Range of available transactional ids to use is: [nextFreeTransactionalId, nextFreeTransactionalId + parallelism * kafkaProducersPoolSize) loop below picks in a deterministic way a subrange of those available transactional ids based on index of this subtask.
getAllPartitionsForTopics(List<String>) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractPartitionDiscoverer: Fetch the list of all partitions for a specific topics list from Kafka.
getAllPartitionsForTopics(List<String>) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaPartitionDiscoverer
getAllTopics() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractPartitionDiscoverer: Fetch the list of all topics from Kafka.
getAllTopics() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaPartitionDiscoverer
getAutoOffsetResetStrategy() - 类中的方法org.apache.flink.connector.kafka.source.enumerator.initializer.NoStoppingOffsetsInitializer
getAutoOffsetResetStrategy() - 接口中的方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer: Get the auto offset reset strategy in case the initialized offsets falls out of the range.
getBatchBlocking() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Gets all the elements found in the list, or blocks until at least one element was added.
getBatchBlocking(long) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Gets all the elements found in the list, or blocks until at least one element was added.
getBatchIntervalMs() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.SinkBufferFlushMode
getBatchSize() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.SinkBufferFlushMode
getBoundedness() - 类中的方法org.apache.flink.connector.kafka.source.KafkaSource
getChangelogMode(ChangelogMode) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink
getChangelogMode() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource
getChangelogMode() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory.DecodingFormatWrapper
getChangelogMode() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory.EncodingFormatWrapper
getCommittableSerializer() - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSink
getCommittedOffset() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState
getCurrentOffset() - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplitState
getDescription() - 枚举中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions.ScanBoundedMode
getDescription() - 枚举中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions.ScanStartupMode
getElementBlocking() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Returns the next element in the queue.
getElementBlocking(long) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Returns the next element in the queue.
getEnableCommitOnCheckpoints() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase
getEnum(String) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
getEnumeratorCheckpointSerializer() - 类中的方法org.apache.flink.connector.kafka.source.KafkaSource
getEpoch() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
getErrorCode() - 异常错误中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaException
getFetcherName() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaFetcher: Gets the name of this fetcher, for thread naming and logging purposes.
getFetcherName() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher
getField(Object, String) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer: Gets and returns the field fieldName from the given Object object using reflection.
getFixedTopics() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicsDescriptor
getIsAutoCommitEnabled() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。
getIsAutoCommitEnabled() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase
getKafkaMetric(Map<MetricName, ? extends Metric>, String, String) - 类中的静态方法org.apache.flink.connector.kafka.MetricUtil: Tries to find the Kafka Metric in the provided metrics.
getKafkaMetric(Map<MetricName, ? extends Metric>, Predicate<Map.Entry<MetricName, ? extends Metric>>) - 类中的静态方法org.apache.flink.connector.kafka.MetricUtil: Tries to find the Kafka Metric in the provided metrics matching a given filter.
getKafkaPartitionHandle() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState: Gets Kafka's descriptor for the Kafka Partition.
getKafkaProducer(Properties) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: Used for testing only.
getKafkaProducerConfig() - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSink
getKafkaTopicPartition() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState: Gets Flink's descriptor for the Kafka Partition.
getLeader() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionLeader
getLength() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.ContextStateSerializer: 已过时。
getLength() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHintSerializer: 已过时。
getLength() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.TransactionStateSerializer: 已过时。
getNumberOfParallelInstances() - 类中的方法org.apache.flink.connector.kafka.sink.DefaultKafkaSinkContext
getNumberOfParallelInstances() - 接口中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchema.KafkaSinkContext
getOffset() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState: The current offset in the partition.
getOption(Properties, ConfigOption<?>, Function<String, T>) - 类中的静态方法org.apache.flink.connector.kafka.source.KafkaSourceOptions
getParallelInstanceId() - 类中的方法org.apache.flink.connector.kafka.sink.DefaultKafkaSinkContext
getParallelInstanceId() - 接口中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchema.KafkaSinkContext: Get the ID of the subtask the KafkaSink is running on.
getPartition() - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
getPartition() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition
getPartition() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState
getPartitionOffsets(Collection<TopicPartition>, OffsetsInitializer.PartitionOffsetsRetriever) - 类中的方法org.apache.flink.connector.kafka.source.enumerator.initializer.NoStoppingOffsetsInitializer
getPartitionOffsets(Collection<TopicPartition>, OffsetsInitializer.PartitionOffsetsRetriever) - 接口中的方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer: Get the initial offsets for the given Kafka partitions.
getPartitionsByTopic(String, Producer<byte[], byte[]>) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
getPartitionsByTopic(String, KafkaProducer<byte[], byte[]>) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase
getPartitionSetSubscriber(Set<TopicPartition>) - 接口中的静态方法org.apache.flink.connector.kafka.source.enumerator.subscriber.KafkaSubscriber
getPartitionsForTopic(String) - 类中的方法org.apache.flink.connector.kafka.sink.DefaultKafkaSinkContext
getPartitionsForTopic(String) - 接口中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchema.KafkaSinkContext: For a given topic id retrieve the available partitions.
getProducedType() - 类中的方法org.apache.flink.connector.kafka.source.KafkaSource
getProducedType() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase
getProducedType() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper
getProducedType() - 类中的方法org.apache.flink.streaming.util.serialization.JSONKeyValueDeserializationSchema
getProducedType() - 类中的方法org.apache.flink.streaming.util.serialization.TypeInformationKeyValueSerializationSchema
getProducer() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.KafkaTransactionState: 已过时。
getProducerId() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
getPropertiesFromBrokerList(String) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase
getScanRuntimeProvider(ScanTableSource.ScanContext) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource
getSerializationSchema() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KeyedSerializationSchemaWrapper
getSinkRuntimeProvider(DynamicTableSink.Context) - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink
getSplitSerializer() - 类中的方法org.apache.flink.connector.kafka.source.KafkaSource
getStartingOffset() - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
getStateSentinel() - 枚举中的方法org.apache.flink.streaming.connectors.kafka.config.StartupMode
getStoppingOffset() - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
getSubscribedTopicPartitions(AdminClient) - 接口中的方法org.apache.flink.connector.kafka.source.enumerator.subscriber.KafkaSubscriber: Get a set of subscribed TopicPartitions.
getSubtask() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher.KafkaShuffleWatermark
getTargetTopic(T) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaSerializationSchemaWrapper
getTargetTopic(T) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KeyedSerializationSchemaWrapper
getTargetTopic(T) - 接口中的方法org.apache.flink.streaming.connectors.kafka.KafkaContextAware: Returns the topic that the presented element should be sent to.
getTargetTopic(T) - 接口中的方法org.apache.flink.streaming.util.serialization.KeyedSerializationSchema: 已过时。

Optional method to determine the target topic for the element.
getTargetTopic(Tuple2<K, V>) - 类中的方法org.apache.flink.streaming.util.serialization.TypeInformationKeyValueSerializationSchema
getTimestamp() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher.KafkaShuffleRecord
getTopic() - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
getTopic() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition
getTopic() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState
getTopicListSubscriber(List<String>) - 接口中的静态方法org.apache.flink.connector.kafka.source.enumerator.subscriber.KafkaSubscriber
getTopicPartition() - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
getTopicPartition() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionLeader
getTopicPatternSubscriber(Pattern) - 接口中的静态方法org.apache.flink.connector.kafka.source.enumerator.subscriber.KafkaSubscriber
getTransactionalId() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
getTransactionCoordinatorId() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
getTransactionTimeout(Properties) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
getValue() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher.KafkaShuffleRecord
getValue() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaMetricMutableWrapper
getValue() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaMetricWrapper
getVersion() - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumStateSerializer
getVersion() - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplitSerializer
getWatermark() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher.KafkaShuffleWatermark
getWriterStateSerializer() - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSink
GROUP_OFFSET - 类中的静态变量org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionStateSentinel: Magic number that defines the partition should start from its committed group offset in Kafka.

H

handleSplitRequest(int, String) - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator
handleSplitsChanges(SplitsChange<KafkaPartitionSplit>) - 类中的方法org.apache.flink.connector.kafka.source.reader.KafkaPartitionSplitReader
Handover - org.apache.flink.streaming.connectors.kafka.internals中的类: The Handover is a utility to hand over data (a buffer of records) and exception from a producer thread to a consumer thread.
Handover() - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.Handover
Handover.ClosedException - org.apache.flink.streaming.connectors.kafka.internals中的异常错误: An exception thrown by the Handover in the Handover.pollNext() or Handover.produce(ConsumerRecords) method, after the Handover was closed via Handover.close().
Handover.WakeupException - org.apache.flink.streaming.connectors.kafka.internals中的异常错误: A special exception thrown bv the Handover in the Handover.produce(ConsumerRecords) method when the producer is woken up from a blocking call via Handover.wakeupProducer().
hashCode() - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
hashCode() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.KafkaTransactionContext: 已过时。
hashCode() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.KafkaTransactionState: 已过时。
hashCode() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHint: 已过时。
hashCode() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue
hashCode() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition
hashCode() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionLeader
hashCode() - 类中的方法org.apache.flink.streaming.connectors.kafka.partitioner.FlinkFixedPartitioner
hashCode() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink
hashCode() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource
hashCode() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.SinkBufferFlushMode
hashCode() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory.DecodingFormatWrapper
hashCode() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory.EncodingFormatWrapper

I

IDENTIFIER - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicTableFactory
IDENTIFIER - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory
ignoreFailuresAfterTransactionTimeout() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Disables the propagation of exceptions thrown when committing presumably timed out Kafka transactions during recovery of the job.
INITIAL_OFFSET - 类中的静态变量org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics
initializeConnections() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractPartitionDiscoverer: Establish the required connections in order to fetch topics and partitions metadata.
initializeConnections() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaPartitionDiscoverer
initializedState(KafkaPartitionSplit) - 类中的方法org.apache.flink.connector.kafka.source.reader.KafkaSourceReader
initializeState(FunctionInitializationContext) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase
initializeState(FunctionInitializationContext) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
initializeState(FunctionInitializationContext) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase
initializeUserContext() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
initTransactions() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
invoke(FlinkKafkaProducer.KafkaTransactionState, IN, SinkFunction.Context) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
invoke(IN, SinkFunction.Context) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: Called when new data arrives to the sink, and forwards it to Kafka.
invoke(Object, String, Object...) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
invoke(FlinkKafkaProducer.KafkaTransactionState, IN, SinkFunction.Context) - 类中的方法org.apache.flink.streaming.connectors.kafka.shuffle.FlinkKafkaShuffleProducer: This is the function invoked to handle each element.
invoke(Watermark) - 类中的方法org.apache.flink.streaming.connectors.kafka.shuffle.FlinkKafkaShuffleProducer: This is the function invoked to handle each watermark.
isEmpty() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Checks whether the queue is empty (has no elements).
isEnabled() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.SinkBufferFlushMode
isEndOfStream(T) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper
isEndOfStream(T) - 接口中的方法org.apache.flink.streaming.connectors.kafka.KafkaDeserializationSchema: Method to decide whether the element signals the end of the stream.
isEndOfStream(ObjectNode) - 类中的方法org.apache.flink.streaming.util.serialization.JSONKeyValueDeserializationSchema
isEndOfStream(Tuple2<K, V>) - 类中的方法org.apache.flink.streaming.util.serialization.TypeInformationKeyValueSerializationSchema: This schema never considers an element to signal end-of-stream, so this method returns always false.
isFixedTopics() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicsDescriptor
isImmutableType() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.ContextStateSerializer: 已过时。
isImmutableType() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHintSerializer: 已过时。
isImmutableType() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.TransactionStateSerializer: 已过时。
isMatchingTopic(String) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicsDescriptor: Check if the input topic matches the topics described by this KafkaTopicDescriptor.
isOffsetDefined() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState
isOpen() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Checks whether the queue is currently open, meaning elements can be added and polled.
isRecord() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher.KafkaShuffleElement
isSentinel(long) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionStateSentinel
isTopicPattern() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicsDescriptor
isWatermark() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher.KafkaShuffleElement

J

JSONKeyValueDeserializationSchema - org.apache.flink.streaming.util.serialization中的类: DeserializationSchema that deserializes a JSON String into an ObjectNode.
JSONKeyValueDeserializationSchema(boolean) - 类的构造器org.apache.flink.streaming.util.serialization.JSONKeyValueDeserializationSchema

K

KAFKA_CONSUMER_METRIC_GROUP - 类中的静态变量org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics
KAFKA_CONSUMER_METRICS_GROUP - 类中的静态变量org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaConsumerMetricConstants
KAFKA_SOURCE_READER_METRIC_GROUP - 类中的静态变量org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics
KafkaCommitCallback - org.apache.flink.streaming.connectors.kafka.internals中的接口: A callback interface that the source operator can implement to trigger custom actions when a commit request completes, which should normally be triggered from checkpoint complete event.
KafkaConnectorOptions - org.apache.flink.streaming.connectors.kafka.table中的类: Options for the Kafka connector.
KafkaConnectorOptions.ScanBoundedMode - org.apache.flink.streaming.connectors.kafka.table中的枚举: Bounded mode for the Kafka consumer, see KafkaConnectorOptions.SCAN_BOUNDED_MODE.
KafkaConnectorOptions.ScanStartupMode - org.apache.flink.streaming.connectors.kafka.table中的枚举: Startup mode for the Kafka consumer, see KafkaConnectorOptions.SCAN_STARTUP_MODE.
KafkaConnectorOptions.ValueFieldsStrategy - org.apache.flink.streaming.connectors.kafka.table中的枚举: Strategies to derive the data type of a value format by considering a key format.
KafkaConsumerMetricConstants - org.apache.flink.streaming.connectors.kafka.internals.metrics中的类: A collection of Kafka consumer metrics related constant strings.
KafkaConsumerMetricConstants() - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaConsumerMetricConstants
KafkaConsumerThread<T> - org.apache.flink.streaming.connectors.kafka.internals中的类: The thread the runs the KafkaConsumer, connecting to the brokers and polling records.
KafkaConsumerThread(Logger, Handover, Properties, ClosableBlockingQueue<KafkaTopicPartitionState<T, TopicPartition>>, String, long, boolean, MetricGroup, MetricGroup) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaConsumerThread
KafkaContextAware<T> - org.apache.flink.streaming.connectors.kafka中的接口: An interface for KafkaSerializationSchemas that need information about the context where the Kafka Producer is running along with information about the available partitions.
KafkaDeserializationSchema<T> - org.apache.flink.streaming.connectors.kafka中的接口: The deserialization schema describes how to turn the Kafka ConsumerRecords into data types (Java/Scala objects) that are processed by Flink.
KafkaDeserializationSchemaWrapper<T> - org.apache.flink.streaming.connectors.kafka.internals中的类: A simple wrapper for using the DeserializationSchema with the KafkaDeserializationSchema interface.
KafkaDeserializationSchemaWrapper(DeserializationSchema<T>) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper
KafkaDynamicSink - org.apache.flink.streaming.connectors.kafka.table中的类: A version-agnostic Kafka DynamicTableSink.
KafkaDynamicSink(DataType, DataType, EncodingFormat<SerializationSchema<RowData>>, EncodingFormat<SerializationSchema<RowData>>, int[], int[], String, String, Properties, FlinkKafkaPartitioner<RowData>, DeliveryGuarantee, boolean, SinkBufferFlushMode, Integer, String) - 类的构造器org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink
KafkaDynamicSource - org.apache.flink.streaming.connectors.kafka.table中的类: A version-agnostic Kafka ScanTableSource.
KafkaDynamicSource(DataType, DecodingFormat<DeserializationSchema<RowData>>, DecodingFormat<DeserializationSchema<RowData>>, int[], int[], String, List<String>, Pattern, Properties, StartupMode, Map<KafkaTopicPartition, Long>, long, BoundedMode, Map<KafkaTopicPartition, Long>, long, boolean, String) - 类的构造器org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource
KafkaDynamicTableFactory - org.apache.flink.streaming.connectors.kafka.table中的类: Factory for creating configured instances of KafkaDynamicSource and KafkaDynamicSink.
KafkaDynamicTableFactory() - 类的构造器org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicTableFactory
KafkaFetcher<T> - org.apache.flink.streaming.connectors.kafka.internals中的类: A fetcher that fetches data from Kafka brokers via the Kafka consumer API.
KafkaFetcher(SourceFunction.SourceContext<T>, Map<KafkaTopicPartition, Long>, SerializedValue<WatermarkStrategy<T>>, ProcessingTimeService, long, ClassLoader, String, KafkaDeserializationSchema<T>, Properties, long, MetricGroup, MetricGroup, boolean) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaFetcher
KafkaMetricMutableWrapper - org.apache.flink.streaming.connectors.kafka.internals.metrics中的类: Gauge for getting the current value of a Kafka metric.
KafkaMetricMutableWrapper(Metric) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaMetricMutableWrapper
KafkaMetricWrapper - org.apache.flink.streaming.connectors.kafka.internals.metrics中的类: Gauge for getting the current value of a Kafka metric.
KafkaMetricWrapper(Metric) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaMetricWrapper
KafkaPartitionDiscoverer - org.apache.flink.streaming.connectors.kafka.internals中的类: A partition discoverer that can be used to discover topics and partitions metadata from Kafka brokers via the Kafka high-level consumer API.
KafkaPartitionDiscoverer(KafkaTopicsDescriptor, int, int, Properties) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaPartitionDiscoverer
KafkaPartitionSplit - org.apache.flink.connector.kafka.source.split中的类: A SourceSplit for a Kafka partition.
KafkaPartitionSplit(TopicPartition, long) - 类的构造器org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
KafkaPartitionSplit(TopicPartition, long, long) - 类的构造器org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
KafkaPartitionSplitReader - org.apache.flink.connector.kafka.source.reader中的类: A SplitReader implementation that reads records from Kafka partitions.
KafkaPartitionSplitReader(Properties, SourceReaderContext, KafkaSourceReaderMetrics) - 类的构造器org.apache.flink.connector.kafka.source.reader.KafkaPartitionSplitReader
KafkaPartitionSplitSerializer - org.apache.flink.connector.kafka.source.split中的类: The serializer for KafkaPartitionSplit.
KafkaPartitionSplitSerializer() - 类的构造器org.apache.flink.connector.kafka.source.split.KafkaPartitionSplitSerializer
KafkaPartitionSplitState - org.apache.flink.connector.kafka.source.split中的类: This class extends KafkaPartitionSplit to track a mutable current offset.
KafkaPartitionSplitState(KafkaPartitionSplit) - 类的构造器org.apache.flink.connector.kafka.source.split.KafkaPartitionSplitState
kafkaProducer - 类中的变量org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
KafkaRecordDeserializationSchema<T> - org.apache.flink.connector.kafka.source.reader.deserializer中的接口: An interface for the deserialization of Kafka records.
KafkaRecordEmitter<T> - org.apache.flink.connector.kafka.source.reader中的类: The RecordEmitter implementation for KafkaSourceReader.
KafkaRecordEmitter(KafkaRecordDeserializationSchema<T>) - 类的构造器org.apache.flink.connector.kafka.source.reader.KafkaRecordEmitter
KafkaRecordSerializationSchema<T> - org.apache.flink.connector.kafka.sink中的接口: A serialization schema which defines how to convert a value of type T to ProducerRecord.
KafkaRecordSerializationSchema.KafkaSinkContext - org.apache.flink.connector.kafka.sink中的接口: Context providing information of the kafka record target location.
KafkaRecordSerializationSchemaBuilder<IN> - org.apache.flink.connector.kafka.sink中的类: Builder to construct KafkaRecordSerializationSchema.
KafkaRecordSerializationSchemaBuilder() - 类的构造器org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchemaBuilder
KafkaSerializationSchema<T> - org.apache.flink.streaming.connectors.kafka中的接口: A KafkaSerializationSchema defines how to serialize values of type T into ProducerRecords.
KafkaSerializationSchemaWrapper<T> - org.apache.flink.streaming.connectors.kafka.internals中的类: An adapter from old style interfaces such as SerializationSchema, FlinkKafkaPartitioner to the KafkaSerializationSchema.
KafkaSerializationSchemaWrapper(String, FlinkKafkaPartitioner<T>, boolean, SerializationSchema<T>) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaSerializationSchemaWrapper
KafkaShuffleElement() - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher.KafkaShuffleElement
KafkaShuffleElementDeserializer(TypeSerializer<T>) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher.KafkaShuffleElementDeserializer
KafkaShuffleFetcher<T> - org.apache.flink.streaming.connectors.kafka.internals中的类: Fetch data from Kafka for Kafka Shuffle.
KafkaShuffleFetcher(SourceFunction.SourceContext<T>, Map<KafkaTopicPartition, Long>, SerializedValue<WatermarkStrategy<T>>, ProcessingTimeService, long, ClassLoader, String, KafkaDeserializationSchema<T>, Properties, long, MetricGroup, MetricGroup, boolean, TypeSerializer<T>, int) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher
KafkaShuffleFetcher.KafkaShuffleElement - org.apache.flink.streaming.connectors.kafka.internals中的类: An element in a KafkaShuffle.
KafkaShuffleFetcher.KafkaShuffleElementDeserializer<T> - org.apache.flink.streaming.connectors.kafka.internals中的类: Deserializer for KafkaShuffleElement.
KafkaShuffleFetcher.KafkaShuffleRecord<T> - org.apache.flink.streaming.connectors.kafka.internals中的类: One value with Type T in a KafkaShuffle.
KafkaShuffleFetcher.KafkaShuffleWatermark - org.apache.flink.streaming.connectors.kafka.internals中的类: A watermark element in a KafkaShuffle.
KafkaSink<IN> - org.apache.flink.connector.kafka.sink中的类: Flink Sink to produce data into a Kafka topic.
KafkaSinkBuilder<IN> - org.apache.flink.connector.kafka.sink中的类: Builder to construct KafkaSink.
KafkaSource<OUT> - org.apache.flink.connector.kafka.source中的类: The Source implementation of Kafka.
KafkaSourceBuilder<OUT> - org.apache.flink.connector.kafka.source中的类: The builder class for KafkaSource to make it easier for the users to construct a KafkaSource.
KafkaSourceEnumerator - org.apache.flink.connector.kafka.source.enumerator中的类: The enumerator class for Kafka source.
KafkaSourceEnumerator(KafkaSubscriber, OffsetsInitializer, OffsetsInitializer, Properties, SplitEnumeratorContext<KafkaPartitionSplit>, Boundedness) - 类的构造器org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator
KafkaSourceEnumerator(KafkaSubscriber, OffsetsInitializer, OffsetsInitializer, Properties, SplitEnumeratorContext<KafkaPartitionSplit>, Boundedness, Set<TopicPartition>) - 类的构造器org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator
KafkaSourceEnumerator.PartitionOffsetsRetrieverImpl - org.apache.flink.connector.kafka.source.enumerator中的类: The implementation for offsets retriever with a consumer and an admin client.
KafkaSourceEnumState - org.apache.flink.connector.kafka.source.enumerator中的类: The state of Kafka source enumerator.
KafkaSourceEnumStateSerializer - org.apache.flink.connector.kafka.source.enumerator中的类: The Serializer for the enumerator state of Kafka source.
KafkaSourceEnumStateSerializer() - 类的构造器org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumStateSerializer
KafkaSourceFetcherManager - org.apache.flink.connector.kafka.source.reader.fetcher中的类: The SplitFetcherManager for Kafka source.
KafkaSourceFetcherManager(FutureCompletingBlockingQueue<RecordsWithSplitIds<ConsumerRecord<byte[], byte[]>>>, Supplier<SplitReader<ConsumerRecord<byte[], byte[]>, KafkaPartitionSplit>>, Consumer<Collection<String>>) - 类的构造器org.apache.flink.connector.kafka.source.reader.fetcher.KafkaSourceFetcherManager: Creates a new SplitFetcherManager with a single I/O threads.
KafkaSourceOptions - org.apache.flink.connector.kafka.source中的类: Configurations for KafkaSource.
KafkaSourceOptions() - 类的构造器org.apache.flink.connector.kafka.source.KafkaSourceOptions
KafkaSourceReader<T> - org.apache.flink.connector.kafka.source.reader中的类: The source reader for Kafka partitions.
KafkaSourceReader(FutureCompletingBlockingQueue<RecordsWithSplitIds<ConsumerRecord<byte[], byte[]>>>, KafkaSourceFetcherManager, RecordEmitter<ConsumerRecord<byte[], byte[]>, T, KafkaPartitionSplitState>, Configuration, SourceReaderContext, KafkaSourceReaderMetrics) - 类的构造器org.apache.flink.connector.kafka.source.reader.KafkaSourceReader
KafkaSourceReaderMetrics - org.apache.flink.connector.kafka.source.metrics中的类: A collection class for handling metrics in KafkaSourceReader.
KafkaSourceReaderMetrics(SourceReaderMetricGroup) - 类的构造器org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics
KafkaSubscriber - org.apache.flink.connector.kafka.source.enumerator.subscriber中的接口: Kafka consumer allows a few different ways to consume from the topics, including: Subscribe from a collection of topics.
KafkaTopicPartition - org.apache.flink.streaming.connectors.kafka.internals中的类: Flink's description of a partition in a Kafka topic.
KafkaTopicPartition(String, int) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition
KafkaTopicPartition.Comparator - org.apache.flink.streaming.connectors.kafka.internals中的类: A Comparator for KafkaTopicPartitions.
KafkaTopicPartitionAssigner - org.apache.flink.streaming.connectors.kafka.internals中的类: Utility for assigning Kafka partitions to consumer subtasks.
KafkaTopicPartitionAssigner() - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionAssigner
KafkaTopicPartitionLeader - org.apache.flink.streaming.connectors.kafka.internals中的类: Serializable Topic Partition info with leader Node information.
KafkaTopicPartitionLeader(KafkaTopicPartition, Node) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionLeader
KafkaTopicPartitionState<T,KPH> - org.apache.flink.streaming.connectors.kafka.internals中的类: The state that the Flink Kafka Consumer holds for each Kafka partition.
KafkaTopicPartitionState(KafkaTopicPartition, KPH) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState
KafkaTopicPartitionStateSentinel - org.apache.flink.streaming.connectors.kafka.internals中的类: Magic values used to represent special offset states before partitions are actually read.
KafkaTopicPartitionStateSentinel() - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionStateSentinel
KafkaTopicPartitionStateWithWatermarkGenerator<T,KPH> - org.apache.flink.streaming.connectors.kafka.internals中的类: A special version of the per-kafka-partition-state that additionally holds a TimestampAssigner, WatermarkGenerator, an immediate WatermarkOutput, and a deferred WatermarkOutput for this partition.
KafkaTopicPartitionStateWithWatermarkGenerator(KafkaTopicPartition, KPH, TimestampAssigner<T>, WatermarkGenerator<T>, WatermarkOutput, WatermarkOutput) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionStateWithWatermarkGenerator
KafkaTopicsDescriptor - org.apache.flink.streaming.connectors.kafka.internals中的类: A Kafka Topics Descriptor describes how the consumer subscribes to Kafka topics - either a fixed list of topics, or a topic pattern.
KafkaTopicsDescriptor(List<String>, Pattern) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicsDescriptor
KafkaTransactionContext(Set<String>) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.KafkaTransactionContext: 已过时。
KafkaTransactionState(String, FlinkKafkaInternalProducer<byte[], byte[]>) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.KafkaTransactionState: 已过时。
KafkaTransactionState(FlinkKafkaInternalProducer<byte[], byte[]>) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.KafkaTransactionState: 已过时。
KafkaTransactionState(String, long, short, FlinkKafkaInternalProducer<byte[], byte[]>) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.KafkaTransactionState: 已过时。
KEY_DISABLE_METRICS - 类中的静态变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: Boolean configuration key to disable metrics tracking
KEY_DISABLE_METRICS - 类中的静态变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Configuration key for disabling the metrics reporting.
KEY_DISABLE_METRICS - 类中的静态变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: Configuration key for disabling the metrics reporting.
KEY_FIELDS - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
KEY_FIELDS_PREFIX - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
KEY_FORMAT - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
KEY_PARTITION_DISCOVERY_INTERVAL_MILLIS - 类中的静态变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: Configuration key to define the consumer's partition discovery interval, in milliseconds.
KEY_POLL_TIMEOUT - 类中的静态变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。

Configuration key to change the polling timeout
keyDecodingFormat - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: Optional format for decoding keys from Kafka.
KeyedDeserializationSchema<T> - org.apache.flink.streaming.util.serialization中的接口: 已过时。
Use KafkaDeserializationSchema.
KeyedSerializationSchema<T> - org.apache.flink.streaming.util.serialization中的接口: 已过时。
Use KafkaSerializationSchema.
KeyedSerializationSchemaWrapper<T> - org.apache.flink.streaming.connectors.kafka.internals中的类: A simple wrapper for using the SerializationSchema with the KeyedSerializationSchema interface.
KeyedSerializationSchemaWrapper(SerializationSchema<T>) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.KeyedSerializationSchemaWrapper
keyEncodingFormat - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: Optional format for encoding keys to Kafka.
keyPrefix - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: Prefix that needs to be removed from fields when constructing the physical data type.
keyPrefix - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: Prefix that needs to be removed from fields when constructing the physical data type.
keyProjection - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: Indices that determine the key fields and the source position in the consumed row.
keyProjection - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: Indices that determine the key fields and the target position in the produced row.

L

lastParallelism - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHint: 已过时。
latest() - 接口中的静态方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer: Get an OffsetsInitializer which initializes the offsets to the latest offsets of each partition.
LATEST_OFFSET - 类中的静态变量org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
LATEST_OFFSET - 类中的静态变量org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionStateSentinel: Magic number that defines the partition should start from the latest offset.
LEGACY_COMMITTED_OFFSETS_METRICS_GROUP - 类中的静态变量org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaConsumerMetricConstants
LEGACY_CURRENT_OFFSETS_METRICS_GROUP - 类中的静态变量org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaConsumerMetricConstants
listReadableMetadata() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource
listWritableMetadata() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink
LOG - 类中的静态变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase
logFailuresOnly - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: Flag indicating whether to accept failures (and log them), or to fail on failures.

M

markActive() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.SourceContextWatermarkOutputAdapter
markIdle() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.SourceContextWatermarkOutputAdapter
MAX_NUM_PENDING_CHECKPOINTS - 类中的静态变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: The maximum number of pending non-committed checkpoints to track, to avoid memory leaks.
maybeAddRecordsLagMetric(KafkaConsumer<?, ?>, TopicPartition) - 类中的方法org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics: Add a partition's records-lag metric to tracking list if this partition never appears before.
metadataKeys - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: Metadata that is appended at the end of a physical sink row.
metadataKeys - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: Metadata that is appended at the end of a physical source row.
metrics() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
MetricUtil - org.apache.flink.connector.kafka中的类: Collection of methods to interact with Kafka's client metric system.
MetricUtil() - 类的构造器org.apache.flink.connector.kafka.MetricUtil

N

nextFreeTransactionalId - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHint: 已过时。
NextTransactionalIdHint() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHint: 已过时。
NextTransactionalIdHint(int, long) - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHint: 已过时。
NextTransactionalIdHint() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.NextTransactionalIdHint
NextTransactionalIdHintSerializer() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHintSerializer: 已过时。
NextTransactionalIdHintSerializer() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.NextTransactionalIdHintSerializer
NextTransactionalIdHintSerializerSnapshot() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHintSerializer.NextTransactionalIdHintSerializerSnapshot: 已过时。
NextTransactionalIdHintSerializerSnapshot() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.NextTransactionalIdHintSerializer.NextTransactionalIdHintSerializerSnapshot
NO_STOPPING_OFFSET - 类中的静态变量org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
NoStoppingOffsetsInitializer - org.apache.flink.connector.kafka.source.enumerator.initializer中的类: An implementation of OffsetsInitializer which does not initialize anything.
NoStoppingOffsetsInitializer() - 类的构造器org.apache.flink.connector.kafka.source.enumerator.initializer.NoStoppingOffsetsInitializer
notifyCheckpointAborted(long) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase
notifyCheckpointComplete(Map<TopicPartition, OffsetAndMetadata>, OffsetCommitCallback) - 类中的方法org.apache.flink.connector.kafka.source.reader.KafkaPartitionSplitReader
notifyCheckpointComplete(long) - 类中的方法org.apache.flink.connector.kafka.source.reader.KafkaSourceReader
notifyCheckpointComplete(long) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase
numPendingRecords() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase

O

of(KafkaDeserializationSchema<V>) - 接口中的静态方法org.apache.flink.connector.kafka.source.reader.deserializer.KafkaRecordDeserializationSchema: Wraps a legacy KafkaDeserializationSchema as the deserializer of the ConsumerRecords.
OFFSET_NOT_SET - 类中的静态变量org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionStateSentinel: Magic number that defines an unset offset.
OffsetCommitMode - org.apache.flink.streaming.connectors.kafka.config中的枚举: The offset commit mode represents the behaviour of how offsets are externally committed back to Kafka brokers / Zookeeper.
OffsetCommitModes - org.apache.flink.streaming.connectors.kafka.config中的类: Utilities for OffsetCommitMode.
OffsetCommitModes() - 类的构造器org.apache.flink.streaming.connectors.kafka.config.OffsetCommitModes
offsets(Map<TopicPartition, Long>) - 接口中的静态方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer: Get an OffsetsInitializer which initializes the offsets to the specified offsets.
offsets(Map<TopicPartition, Long>, OffsetResetStrategy) - 接口中的静态方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer: Get an OffsetsInitializer which initializes the offsets to the specified offsets.
OFFSETS_BY_PARTITION_METRICS_GROUP - 类中的静态变量org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaConsumerMetricConstants
OFFSETS_BY_TOPIC_METRICS_GROUP - 类中的静态变量org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaConsumerMetricConstants
offsetsForTimes(Map<TopicPartition, Long>) - 接口中的方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer.PartitionOffsetsRetriever: List offsets matching a timestamp for the specified partitions.
offsetsForTimes(Map<TopicPartition, Long>) - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator.PartitionOffsetsRetrieverImpl
OffsetsInitializer - org.apache.flink.connector.kafka.source.enumerator.initializer中的接口: An interface for users to specify the starting / stopping offset of a KafkaPartitionSplit.
OffsetsInitializer.PartitionOffsetsRetriever - org.apache.flink.connector.kafka.source.enumerator.initializer中的接口: An interface that provides necessary information to the OffsetsInitializer to get the initial offsets of the Kafka partitions.
OffsetsInitializerValidator - org.apache.flink.connector.kafka.source.enumerator.initializer中的接口: Interface for validating OffsetsInitializer with properties from KafkaSource.
onEvent(T, long) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState
onEvent(T, long) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionStateWithWatermarkGenerator
onException(Throwable) - 接口中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaCommitCallback: A callback method the user can implement to provide asynchronous handling of commit request failure.
onPeriodicEmit() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState
onPeriodicEmit() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionStateWithWatermarkGenerator
onSplitFinished(Map<String, KafkaPartitionSplitState>) - 类中的方法org.apache.flink.connector.kafka.source.reader.KafkaSourceReader
onSuccess() - 接口中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaCommitCallback: A callback method the user can implement to provide asynchronous handling of commit request completion.
open(SerializationSchema.InitializationContext, KafkaRecordSerializationSchema.KafkaSinkContext) - 接口中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchema: Initialization method for the schema.
open(DeserializationSchema.InitializationContext) - 接口中的方法org.apache.flink.connector.kafka.source.reader.deserializer.KafkaRecordDeserializationSchema: Initialization method for the schema.
open(Configuration) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase
open(Configuration) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Initializes the connection to Kafka.
open(Configuration) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: Initializes the connection to Kafka.
open() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractPartitionDiscoverer: Opens the partition discoverer, initializing all required Kafka connections.
open(DeserializationSchema.InitializationContext) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaDeserializationSchemaWrapper
open(SerializationSchema.InitializationContext) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaSerializationSchemaWrapper
open(DeserializationSchema.InitializationContext) - 接口中的方法org.apache.flink.streaming.connectors.kafka.KafkaDeserializationSchema: Initialization method for the schema.
open(SerializationSchema.InitializationContext) - 接口中的方法org.apache.flink.streaming.connectors.kafka.KafkaSerializationSchema: Initialization method for the schema.
open(int, int) - 类中的方法org.apache.flink.streaming.connectors.kafka.partitioner.FlinkFixedPartitioner
open(int, int) - 类中的方法org.apache.flink.streaming.connectors.kafka.partitioner.FlinkKafkaPartitioner: Initializer for the partitioner.
open(DeserializationSchema.InitializationContext) - 类中的方法org.apache.flink.streaming.util.serialization.JSONKeyValueDeserializationSchema
optionalOptions() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicTableFactory
optionalOptions() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory
org.apache.flink.connector.kafka - 程序包 org.apache.flink.connector.kafka
org.apache.flink.connector.kafka.sink - 程序包 org.apache.flink.connector.kafka.sink
org.apache.flink.connector.kafka.source - 程序包 org.apache.flink.connector.kafka.source
org.apache.flink.connector.kafka.source.enumerator - 程序包 org.apache.flink.connector.kafka.source.enumerator
org.apache.flink.connector.kafka.source.enumerator.initializer - 程序包 org.apache.flink.connector.kafka.source.enumerator.initializer
org.apache.flink.connector.kafka.source.enumerator.subscriber - 程序包 org.apache.flink.connector.kafka.source.enumerator.subscriber
org.apache.flink.connector.kafka.source.metrics - 程序包 org.apache.flink.connector.kafka.source.metrics
org.apache.flink.connector.kafka.source.reader - 程序包 org.apache.flink.connector.kafka.source.reader
org.apache.flink.connector.kafka.source.reader.deserializer - 程序包 org.apache.flink.connector.kafka.source.reader.deserializer
org.apache.flink.connector.kafka.source.reader.fetcher - 程序包 org.apache.flink.connector.kafka.source.reader.fetcher
org.apache.flink.connector.kafka.source.split - 程序包 org.apache.flink.connector.kafka.source.split
org.apache.flink.streaming.connectors.kafka - 程序包 org.apache.flink.streaming.connectors.kafka
org.apache.flink.streaming.connectors.kafka.config - 程序包 org.apache.flink.streaming.connectors.kafka.config
org.apache.flink.streaming.connectors.kafka.internals - 程序包 org.apache.flink.streaming.connectors.kafka.internals
org.apache.flink.streaming.connectors.kafka.internals.metrics - 程序包 org.apache.flink.streaming.connectors.kafka.internals.metrics
org.apache.flink.streaming.connectors.kafka.partitioner - 程序包 org.apache.flink.streaming.connectors.kafka.partitioner
org.apache.flink.streaming.connectors.kafka.shuffle - 程序包 org.apache.flink.streaming.connectors.kafka.shuffle
org.apache.flink.streaming.connectors.kafka.table - 程序包 org.apache.flink.streaming.connectors.kafka.table
org.apache.flink.streaming.util.serialization - 程序包 org.apache.flink.streaming.util.serialization

P

parallelism - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: Parallelism of the physical Kafka producer
partition(T, byte[], byte[], String, int[]) - 类中的方法org.apache.flink.streaming.connectors.kafka.partitioner.FlinkFixedPartitioner
partition(T, byte[], byte[], String, int[]) - 类中的方法org.apache.flink.streaming.connectors.kafka.partitioner.FlinkKafkaPartitioner: Determine the id of the partition that the record should be written to.
PARTITION_DISCOVERY_DISABLED - 类中的静态变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: The default interval to execute partition discovery, in milliseconds (Long.MIN_VALUE, i.e. disabled by default).
PARTITION_DISCOVERY_INTERVAL_MS - 类中的静态变量org.apache.flink.connector.kafka.source.KafkaSourceOptions
PARTITION_GROUP - 类中的静态变量org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics
partitionConsumerRecordsHandler(List<ConsumerRecord<byte[], byte[]>>, KafkaTopicPartitionState<T, TopicPartition>) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaFetcher
partitionConsumerRecordsHandler(List<ConsumerRecord<byte[], byte[]>>, KafkaTopicPartitionState<T, TopicPartition>) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaShuffleFetcher
partitioner - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: Partitioner to select Kafka partition for each item.
PartitionOffsetsRetrieverImpl(AdminClient, String) - 类的构造器org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator.PartitionOffsetsRetrieverImpl
partitionsFor(String) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
pauseOrResumeSplits(Collection<KafkaPartitionSplit>, Collection<KafkaPartitionSplit>) - 类中的方法org.apache.flink.connector.kafka.source.reader.KafkaPartitionSplitReader
pauseOrResumeSplits(Collection<String>, Collection<String>) - 类中的方法org.apache.flink.connector.kafka.source.reader.KafkaSourceReader
peek() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Returns the queue's next element without removing it, if the queue is non-empty.
pendingRecords - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Number of unacknowledged records.
pendingRecords - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: Number of unacknowledged records.
pendingRecordsLock - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: Lock for accessing the pending records.
persistentKeyBy(DataStream<T>, String, int, int, Properties, KeySelector<T, K>) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.shuffle.FlinkKafkaShuffle: Uses Kafka as a message bus to persist keyBy shuffle.
persistentKeyBy(DataStream<T>, String, int, int, Properties, int...) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.shuffle.FlinkKafkaShuffle: Uses Kafka as a message bus to persist keyBy shuffle.
physicalDataType - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: Data type to configure the formats.
physicalDataType - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: Data type to configure the formats.
poll() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Returns the queue's next element and removes it, the queue is non-empty.
pollBatch() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Returns all of the queue's current elements in a list, if the queue is non-empty.
pollNext() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.Handover: Polls the next element from the Handover, possibly blocking until the next element is available.
pollTimeout - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。

From Kafka's Javadoc: The time, in milliseconds, spent waiting in poll if data is not available.
preCommit(FlinkKafkaProducer.KafkaTransactionState) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
produce(ConsumerRecords<byte[], byte[]>) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.Handover: Hands over an element from the producer.
producedDataType - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: Data type that describes the final output of the source.
producer - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: KafkaProducer instance.
producerConfig - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

User defined properties for the Producer.
producerConfig - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: User defined properties for the Producer.
properties - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer: 已过时。

User-supplied properties for Kafka
properties - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: Properties for the Kafka producer.
properties - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: Properties for the Kafka consumer.
props - 类中的变量org.apache.flink.connector.kafka.source.KafkaSourceBuilder
PROPS_BOOTSTRAP_SERVERS - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
PROPS_GROUP_ID - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions

R

readKeyBy(String, StreamExecutionEnvironment, TypeInformation<T>, Properties, KeySelector<T, K>) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.shuffle.FlinkKafkaShuffle: The read side of FlinkKafkaShuffle.persistentKeyBy(org.apache.flink.streaming.api.datastream.DataStream<T>, java.lang.String, int, int, java.util.Properties, org.apache.flink.api.java.functions.KeySelector<T, K>).
recordCommittedOffset(TopicPartition, long) - 类中的方法org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics: Update the latest committed offset of the given TopicPartition.
recordCurrentOffset(TopicPartition, long) - 类中的方法org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics: Update current consuming offset of the given TopicPartition.
recordFailedCommit() - 类中的方法org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics: Mark a failure commit.
RECORDS_LAG - 类中的静态变量org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics
recordSucceededCommit() - 类中的方法org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics: Mark a successful commit.
recoverAndAbort(FlinkKafkaProducer.KafkaTransactionState) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
recoverAndCommit(FlinkKafkaProducer.KafkaTransactionState) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
REGISTER_KAFKA_CONSUMER_METRICS - 类中的静态变量org.apache.flink.connector.kafka.source.KafkaSourceOptions
registerKafkaConsumerMetrics(KafkaConsumer<?, ?>) - 类中的方法org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics: Register metrics of KafkaConsumer in Kafka metric group.
registerNumBytesIn(KafkaConsumer<?, ?>) - 类中的方法org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics: Register MetricNames.IO_NUM_BYTES_IN.
registerTopicPartition(TopicPartition) - 类中的方法org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics: Register metric groups for the given TopicPartition.
removeRecordsLagMetric(TopicPartition) - 类中的方法org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics: Remove a partition's records-lag metric from tracking list.
reportError(Throwable) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ExceptionProxy: Sets the exception and interrupts the target thread, if no other exception has occurred so far.
reportError(Throwable) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.Handover: Reports an exception.
requiredOptions() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicTableFactory
requiredOptions() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory
restoreEnumerator(SplitEnumeratorContext<KafkaPartitionSplit>, KafkaSourceEnumState) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSource
restoreWriter(Sink.InitContext, Collection<KafkaWriterState>) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSink
resumeTransaction(long, short) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer: Instead of obtaining producerId and epoch from the transaction coordinator, re-use previously obtained ones, so that we can resume transaction after a restart.
run(SourceFunction.SourceContext<T>) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase
run() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaConsumerThread
runFetchLoop() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher
runFetchLoop() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaFetcher

S

SAFE_SCALE_DOWN_FACTOR - 类中的静态变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

This coefficient determines what is the safe scale down factor.
SCAN_BOUNDED_MODE - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
SCAN_BOUNDED_SPECIFIC_OFFSETS - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
SCAN_BOUNDED_TIMESTAMP_MILLIS - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
SCAN_STARTUP_MODE - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
SCAN_STARTUP_SPECIFIC_OFFSETS - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
SCAN_STARTUP_TIMESTAMP_MILLIS - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
SCAN_TOPIC_PARTITION_DISCOVERY - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
schema - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: (Serializable) SerializationSchema for turning objects used with Flink into. byte[] for Kafka.
semantic - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Semantic chosen for this instance.
send(ProducerRecord<K, V>) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
send(ProducerRecord<K, V>, Callback) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
sendOffsetsToTransaction(Map<TopicPartition, OffsetAndMetadata>, String) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
sendOffsetsToTransaction(Map<TopicPartition, OffsetAndMetadata>, ConsumerGroupMetadata) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
serialize(T, KafkaRecordSerializationSchema.KafkaSinkContext, Long) - 接口中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchema: Serializes given element and returns it as a ProducerRecord.
serialize(KafkaSourceEnumState) - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumStateSerializer
serialize(KafkaPartitionSplit) - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplitSerializer
serialize(FlinkKafkaProducer.KafkaTransactionContext, DataOutputView) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.ContextStateSerializer: 已过时。
serialize(FlinkKafkaProducer.NextTransactionalIdHint, DataOutputView) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHintSerializer: 已过时。
serialize(FlinkKafkaProducer.KafkaTransactionState, DataOutputView) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.TransactionStateSerializer: 已过时。
serialize(T, Long) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaSerializationSchemaWrapper
serialize(T, Long) - 接口中的方法org.apache.flink.streaming.connectors.kafka.KafkaSerializationSchema: Serializes given element and returns it as a ProducerRecord.
serializeKey(T) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KeyedSerializationSchemaWrapper
serializeKey(T) - 接口中的方法org.apache.flink.streaming.util.serialization.KeyedSerializationSchema: 已过时。

Serializes the key of the incoming element to a byte array This method might return null if no key is available.
serializeKey(Tuple2<K, V>) - 类中的方法org.apache.flink.streaming.util.serialization.TypeInformationKeyValueSerializationSchema
serializeValue(T) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KeyedSerializationSchemaWrapper
serializeValue(T) - 接口中的方法org.apache.flink.streaming.util.serialization.KeyedSerializationSchema: 已过时。

Serializes the value of the incoming element to a byte array.
serializeValue(Tuple2<K, V>) - 类中的方法org.apache.flink.streaming.util.serialization.TypeInformationKeyValueSerializationSchema
setAndCheckDiscoveredPartition(KafkaTopicPartition) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractPartitionDiscoverer: Sets a partition as discovered.
setBootstrapServers(String) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSinkBuilder: Sets the Kafka bootstrap servers.
setBootstrapServers(String) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Sets the bootstrap servers for the KafkaConsumer of the KafkaSource.
setBounded(OffsetsInitializer) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: By default the KafkaSource is set to run as Boundedness.CONTINUOUS_UNBOUNDED and thus never stops until the Flink job fails or is canceled.
setClientIdPrefix(String) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Sets the client id prefix of this KafkaSource.
setCommitOffsetsOnCheckpoints(boolean) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: Specifies whether or not the consumer should commit offsets back to Kafka on checkpoints.
setCommittedOffset(long) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState
setCurrentOffset(long) - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplitState
setDeliverGuarantee(DeliveryGuarantee) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSinkBuilder: 已过时。
Will be removed in future versions. Use KafkaSinkBuilder.setDeliveryGuarantee(org.apache.flink.connector.base.DeliveryGuarantee) instead.
setDeliveryGuarantee(DeliveryGuarantee) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSinkBuilder: Sets the wanted the DeliveryGuarantee.
setDeserializer(KafkaRecordDeserializationSchema<OUT>) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Sets the deserializer of the ConsumerRecord for KafkaSource.
setField(Object, String, Object) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer: Sets the field fieldName on the given Object object to value using reflection.
setFlushOnCheckpoint(boolean) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: If set to true, the Flink producer will wait for all outstanding messages in the Kafka buffers to be acknowledged by the Kafka producer on a checkpoint.
setGroupId(String) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Sets the consumer group id of the KafkaSource.
setKafkaKeySerializer(Class<? extends Serializer<? super T>>) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchemaBuilder: Sets Kafka's Serializer to serialize incoming elements to the key of the ProducerRecord.
setKafkaKeySerializer(Class<S>, Map<String, String>) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchemaBuilder: Sets a configurable Kafka Serializer and pass a configuration to serialize incoming elements to the key of the ProducerRecord.
setKafkaMetric(Metric) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.metrics.KafkaMetricMutableWrapper
setKafkaProducerConfig(Properties) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSinkBuilder: Sets the configuration which used to instantiate all used KafkaProducer.
setKafkaSubscriber(KafkaSubscriber) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Set a custom Kafka subscriber to use to discover new splits.
setKafkaValueSerializer(Class<? extends Serializer<? super T>>) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchemaBuilder: Sets Kafka's Serializer to serialize incoming elements to the value of the ProducerRecord.
setKafkaValueSerializer(Class<S>, Map<String, String>) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchemaBuilder: Sets a configurable Kafka Serializer and pass a configuration to serialize incoming elements to the value of the ProducerRecord.
setKeySerializationSchema(SerializationSchema<? super T>) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchemaBuilder: Sets a SerializationSchema which is used to serialize the incoming element to the key of the ProducerRecord.
setLogFailuresOnly(boolean) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Defines whether the producer should fail on errors, or only log them.
setLogFailuresOnly(boolean) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: Defines whether the producer should fail on errors, or only log them.
setNumParallelInstances(int) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaSerializationSchemaWrapper
setNumParallelInstances(int) - 接口中的方法org.apache.flink.streaming.connectors.kafka.KafkaContextAware: Sets the parallelism with which the parallel task of the Kafka Producer runs.
setOffset(long) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState
setParallelInstanceId(int) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaSerializationSchemaWrapper
setParallelInstanceId(int) - 接口中的方法org.apache.flink.streaming.connectors.kafka.KafkaContextAware: Sets the number of the parallel subtask that the Kafka Producer is running on.
setPartitioner(FlinkKafkaPartitioner<? super T>) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchemaBuilder: Sets a custom partitioner determining the target partition of the target topic.
setPartitions(Set<TopicPartition>) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Set a set of partitions to consume from.
setPartitions(int[]) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaSerializationSchemaWrapper
setPartitions(int[]) - 接口中的方法org.apache.flink.streaming.connectors.kafka.KafkaContextAware: Sets the available partitions for the topic returned from KafkaContextAware.getTargetTopic(Object).
setProperties(Properties) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Set arbitrary properties for the KafkaSource and KafkaConsumer.
setProperty(String, String) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSinkBuilder
setProperty(String, String) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Set an arbitrary property for the KafkaSource and KafkaConsumer.
setRecordSerializer(KafkaRecordSerializationSchema<IN>) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSinkBuilder: Sets the KafkaRecordSerializationSchema that transforms incoming records to ProducerRecords.
setStartFromEarliest() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: Specifies the consumer to start reading from the earliest offset for all partitions.
setStartFromGroupOffsets() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: Specifies the consumer to start reading from any committed group offsets found in Zookeeper / Kafka brokers.
setStartFromLatest() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: Specifies the consumer to start reading from the latest offset for all partitions.
setStartFromSpecificOffsets(Map<KafkaTopicPartition, Long>) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: Specifies the consumer to start reading partitions from specific offsets, set independently for each partition.
setStartFromTimestamp(long) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase: Specifies the consumer to start reading partitions from a specified timestamp.
setStartingOffsets(OffsetsInitializer) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Specify from which offsets the KafkaSource should start consuming from by providing an OffsetsInitializer.
setTopic(String) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchemaBuilder: Sets a fixed topic which used as destination for all records.
setTopicPattern(Pattern) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Set a topic pattern to consume from use the java Pattern.
setTopics(List<String>) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Set a list of topics the KafkaSource should consume from.
setTopics(String...) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Set a list of topics the KafkaSource should consume from.
setTopicSelector(TopicSelector<? super T>) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchemaBuilder: Sets a topic selector which computes the target topic for every incoming record.
setTransactionalIdPrefix(String) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaSinkBuilder: Sets the prefix for all created transactionalIds if DeliveryGuarantee.EXACTLY_ONCE is configured.
setTransactionalIdPrefix(String) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Specifies the prefix of the transactional.id property to be used by the producers when communicating with Kafka.
setUnbounded(OffsetsInitializer) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: By default the KafkaSource is set to run as Boundedness.CONTINUOUS_UNBOUNDED and thus never stops until the Flink job fails or is canceled.
setValueOnlyDeserializer(DeserializationSchema<OUT>) - 类中的方法org.apache.flink.connector.kafka.source.KafkaSourceBuilder: Sets the deserializer of the ConsumerRecord for KafkaSource.
setValueSerializationSchema(SerializationSchema<T>) - 类中的方法org.apache.flink.connector.kafka.sink.KafkaRecordSerializationSchemaBuilder: Sets a SerializationSchema which is used to serialize the incoming element to the value of the ProducerRecord.
setWriteTimestamp(boolean) - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaSerializationSchemaWrapper
setWriteTimestampToKafka(boolean) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

If set to true, Flink will write the (event time) timestamp attached to each record into Kafka.
shutdown() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaConsumerThread: Shuts this thread down, waking up the thread gracefully if blocked (without Thread.interrupt() calls).
SINK_BUFFER_FLUSH_INTERVAL - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
SINK_BUFFER_FLUSH_MAX_ROWS - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
SINK_CHANGELOG_MODE - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory.EncodingFormatWrapper
SINK_PARALLELISM - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
SINK_PARTITIONER - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
SinkBufferFlushMode - org.apache.flink.streaming.connectors.kafka.table中的类: Sink buffer flush configuration.
SinkBufferFlushMode(int, long) - 类的构造器org.apache.flink.streaming.connectors.kafka.table.SinkBufferFlushMode
size() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue: Gets the number of elements currently in the queue.
snapshotConfiguration() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.ContextStateSerializer: 已过时。
snapshotConfiguration() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHintSerializer: 已过时。
snapshotConfiguration() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.TransactionStateSerializer: 已过时。
snapshotCurrentState() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher: Takes a snapshot of the partition offsets.
snapshotState(long) - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator
snapshotState(long) - 类中的方法org.apache.flink.connector.kafka.source.reader.KafkaSourceReader
snapshotState(FunctionSnapshotContext) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumerBase
snapshotState(FunctionSnapshotContext) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。
snapshotState(FunctionSnapshotContext) - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase
sourceContext - 类中的变量org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher: The source context to emit records and watermarks to.
SourceContextWatermarkOutputAdapter<T> - org.apache.flink.streaming.connectors.kafka.internals中的类: A WatermarkOutput that forwards calls to a SourceFunction.SourceContext.
SourceContextWatermarkOutputAdapter(SourceFunction.SourceContext<T>) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.SourceContextWatermarkOutputAdapter
specificBoundedOffsets - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: Specific end offsets; only relevant when bounded mode is BoundedMode.SPECIFIC_OFFSETS.
specificStartupOffsets - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: Specific startup offsets; only relevant when startup mode is StartupMode.SPECIFIC_OFFSETS.
splitId() - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
start() - 类中的方法org.apache.flink.connector.kafka.source.enumerator.KafkaSourceEnumerator: Start the enumerator.
StartupMode - org.apache.flink.streaming.connectors.kafka.config中的枚举: Startup modes for the Kafka Consumer.
startupMode - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: The startup mode for the contained consumer (default is StartupMode.GROUP_OFFSETS).
startupTimestampMillis - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: The start timestamp to locate partition offsets; only relevant when startup mode is StartupMode.TIMESTAMP.
subscribedPartitionStates() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher: Gets all partitions (with partition state) that this fetcher is subscribed to.
supportsMetadataProjection() - 类中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource
sync(Metric, Counter) - 类中的静态方法org.apache.flink.connector.kafka.MetricUtil: Ensures that the counter has the same value as the given Kafka metric.

T

tableIdentifier - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource
TAG_REC_WITH_TIMESTAMP - 类中的静态变量org.apache.flink.streaming.connectors.kafka.shuffle.FlinkKafkaShuffleProducer.KafkaSerializer
TAG_REC_WITHOUT_TIMESTAMP - 类中的静态变量org.apache.flink.streaming.connectors.kafka.shuffle.FlinkKafkaShuffleProducer.KafkaSerializer
TAG_WATERMARK - 类中的静态变量org.apache.flink.streaming.connectors.kafka.shuffle.FlinkKafkaShuffleProducer.KafkaSerializer
timestamp(long) - 接口中的静态方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializer: Get an OffsetsInitializer which initializes the offsets in each partition so that the initialized offset is the offset of the first record whose record timestamp is greater than or equals the given timestamp (milliseconds).
toKafkaPartitionSplit() - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplitState: Use the current offset as the starting offset to create a new KafkaPartitionSplit.
TOPIC - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
topic - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: The Kafka topic to write to.
TOPIC_GROUP - 类中的静态变量org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics
TOPIC_PATTERN - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
topicPartitionsMap - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Partitions of each topic.
topicPartitionsMap - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducerBase: Partitions of each topic.
topicPattern - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: The Kafka topic pattern to consume.
topics - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: The Kafka topics to consume.
TopicSelector<IN> - org.apache.flink.connector.kafka.sink中的接口: Selects a topic for the incoming record.
toSplitId(TopicPartition) - 类中的静态方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
toSplitType(String, KafkaPartitionSplitState) - 类中的方法org.apache.flink.connector.kafka.source.reader.KafkaSourceReader
toString() - 类中的方法org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
toString() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.KafkaTransactionState: 已过时。
toString() - 类中的方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.NextTransactionalIdHint: 已过时。
toString() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.ClosableBlockingQueue
toString() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition
toString(Map<KafkaTopicPartition, Long>) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition
toString(List<KafkaTopicPartition>) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartition
toString() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionLeader
toString() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionState
toString() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicPartitionStateWithWatermarkGenerator
toString() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaTopicsDescriptor
toString() - 枚举中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions.ScanBoundedMode
toString() - 枚举中的方法org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions.ScanStartupMode
TRANSACTIONAL_ID_PREFIX - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
transactionalId - 类中的变量org.apache.flink.streaming.connectors.kafka.internals.FlinkKafkaInternalProducer
TransactionalIdsGenerator - org.apache.flink.streaming.connectors.kafka.internals中的类: Class responsible for generating transactional ids to use when communicating with Kafka.
TransactionalIdsGenerator(String, int, int, int, int) - 类的构造器org.apache.flink.streaming.connectors.kafka.internals.TransactionalIdsGenerator
TransactionStateSerializer() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.TransactionStateSerializer: 已过时。
TransactionStateSerializer() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.TransactionStateSerializer
TransactionStateSerializerSnapshot() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.TransactionStateSerializer.TransactionStateSerializerSnapshot: 已过时。
TransactionStateSerializerSnapshot() - 类的构造器org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer011.TransactionStateSerializer.TransactionStateSerializerSnapshot
TypeInformationKeyValueSerializationSchema<K,V> - org.apache.flink.streaming.util.serialization中的类: A serialization and deserialization schema for Key Value Pairs that uses Flink's serialization stack to transform typed from and to byte arrays.
TypeInformationKeyValueSerializationSchema(TypeInformation<K>, TypeInformation<V>, ExecutionConfig) - 类的构造器org.apache.flink.streaming.util.serialization.TypeInformationKeyValueSerializationSchema: Creates a new de-/serialization schema for the given types.
TypeInformationKeyValueSerializationSchema(Class<K>, Class<V>, ExecutionConfig) - 类的构造器org.apache.flink.streaming.util.serialization.TypeInformationKeyValueSerializationSchema: Creates a new de-/serialization schema for the given types.

U

unassignedPartitionsQueue - 类中的变量org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher: Queue of partitions that are not yet assigned to any Kafka clients for consuming.
updateNumBytesInCounter() - 类中的方法org.apache.flink.connector.kafka.source.metrics.KafkaSourceReaderMetrics: Update MetricNames.IO_NUM_BYTES_IN.
UpsertKafkaDynamicTableFactory - org.apache.flink.streaming.connectors.kafka.table中的类: Upsert-Kafka factory.
UpsertKafkaDynamicTableFactory() - 类的构造器org.apache.flink.streaming.connectors.kafka.table.UpsertKafkaDynamicTableFactory
UpsertKafkaDynamicTableFactory.DecodingFormatWrapper - org.apache.flink.streaming.connectors.kafka.table中的类: It is used to wrap the decoding format and expose the desired changelog mode.
UpsertKafkaDynamicTableFactory.EncodingFormatWrapper - org.apache.flink.streaming.connectors.kafka.table中的类: It is used to wrap the encoding format and expose the desired changelog mode.
upsertMode - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: Flag to determine sink mode.
upsertMode - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: Flag to determine source mode.

V

VALID_STARTING_OFFSET_MARKERS - 类中的静态变量org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
VALID_STOPPING_OFFSET_MARKERS - 类中的静态变量org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit
validate(Properties) - 接口中的方法org.apache.flink.connector.kafka.source.enumerator.initializer.OffsetsInitializerValidator: Validate offsets initializer with properties of Kafka source.
VALUE_FIELDS_INCLUDE - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
VALUE_FORMAT - 类中的静态变量org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions
valueDecodingFormat - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: Format for decoding values from Kafka.
valueEncodingFormat - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: Format for encoding values to Kafka.
valueOf(String) - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.config.BoundedMode: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.config.OffsetCommitMode: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.config.StartupMode: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaErrorCode: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.Semantic: 已过时。

返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions.ScanBoundedMode: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions.ScanStartupMode: 返回带有指定名称的该类型的枚举常量。
valueOf(String) - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions.ValueFieldsStrategy: 返回带有指定名称的该类型的枚举常量。
valueOnly(DeserializationSchema<V>) - 接口中的静态方法org.apache.flink.connector.kafka.source.reader.deserializer.KafkaRecordDeserializationSchema: Wraps a DeserializationSchema as the value deserialization schema of the ConsumerRecords.
valueOnly(Class<? extends Deserializer<V>>) - 接口中的静态方法org.apache.flink.connector.kafka.source.reader.deserializer.KafkaRecordDeserializationSchema: Wraps a Kafka Deserializer to a KafkaRecordDeserializationSchema.
valueOnly(Class<D>, Map<String, String>) - 接口中的静态方法org.apache.flink.connector.kafka.source.reader.deserializer.KafkaRecordDeserializationSchema: Wraps a Kafka Deserializer to a KafkaRecordDeserializationSchema.
valueProjection - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSink: Indices that determine the value fields and the source position in the consumed row.
valueProjection - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: Indices that determine the value fields and the target position in the produced row.
values() - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.config.BoundedMode: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.config.OffsetCommitMode: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.config.StartupMode: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaErrorCode: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer.Semantic: 已过时。

按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions.ScanBoundedMode: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions.ScanStartupMode: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。
values() - 枚举中的静态方法org.apache.flink.streaming.connectors.kafka.table.KafkaConnectorOptions.ValueFieldsStrategy: 按照声明该枚举类型的常量的顺序, 返回包含这些常量的数组。

W

wakeUp() - 类中的方法org.apache.flink.connector.kafka.source.reader.KafkaPartitionSplitReader
wakeup() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractPartitionDiscoverer: Interrupt an in-progress discovery attempt by throwing a AbstractPartitionDiscoverer.WakeupException.
wakeupConnections() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.AbstractPartitionDiscoverer: Attempt to eagerly wakeup from blocking calls to Kafka in AbstractPartitionDiscoverer.getAllTopics() and AbstractPartitionDiscoverer.getAllPartitionsForTopics(List).
wakeupConnections() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.KafkaPartitionDiscoverer
WakeupException() - 异常错误的构造器org.apache.flink.streaming.connectors.kafka.internals.AbstractPartitionDiscoverer.WakeupException
WakeupException() - 异常错误的构造器org.apache.flink.streaming.connectors.kafka.internals.Handover.WakeupException
wakeupProducer() - 类中的方法org.apache.flink.streaming.connectors.kafka.internals.Handover: Wakes the producer thread up.
watermarkOutput - 类中的变量org.apache.flink.streaming.connectors.kafka.internals.AbstractFetcher: Wrapper around our SourceContext for allowing the WatermarkGenerator to emit watermarks and mark idleness.
watermarkStrategy - 类中的变量org.apache.flink.streaming.connectors.kafka.table.KafkaDynamicSource: Watermark strategy that is used to generate per-partition watermark.
writeKeyBy(DataStream<T>, String, Properties, KeySelector<T, K>) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.shuffle.FlinkKafkaShuffle: The write side of FlinkKafkaShuffle.persistentKeyBy(org.apache.flink.streaming.api.datastream.DataStream<T>, java.lang.String, int, int, java.util.Properties, org.apache.flink.api.java.functions.KeySelector<T, K>).
writeKeyBy(DataStream<T>, String, Properties, int...) - 类中的静态方法org.apache.flink.streaming.connectors.kafka.shuffle.FlinkKafkaShuffle: The write side of FlinkKafkaShuffle.persistentKeyBy(org.apache.flink.streaming.api.datastream.DataStream<T>, java.lang.String, int, int, java.util.Properties, org.apache.flink.api.java.functions.KeySelector<T, K>).
writeTimestampToKafka - 类中的变量org.apache.flink.streaming.connectors.kafka.FlinkKafkaProducer: 已过时。

Flag controlling whether we are writing the Flink record's timestamp into Kafka.

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