类的使用
org.apache.flink.connector.kafka.source.split.KafkaPartitionSplit

使用KafkaPartitionSplit的程序包

程序包	说明
org.apache.flink.connector.kafka.source
org.apache.flink.connector.kafka.source.enumerator
org.apache.flink.connector.kafka.source.reader
org.apache.flink.connector.kafka.source.reader.fetcher
org.apache.flink.connector.kafka.source.split

org.apache.flink.connector.kafka.source中KafkaPartitionSplit的使用

返回变量类型为KafkaPartitionSplit的类型的org.apache.flink.connector.kafka.source中的方法

限定符和类型	方法和说明
org.apache.flink.api.connector.source.SplitEnumerator<KafkaPartitionSplit,KafkaSourceEnumState>	KafkaSource.createEnumerator(org.apache.flink.api.connector.source.SplitEnumeratorContext<KafkaPartitionSplit> enumContext)
org.apache.flink.api.connector.source.SourceReader<OUT,KafkaPartitionSplit>	KafkaSource.createReader(org.apache.flink.api.connector.source.SourceReaderContext readerContext)
org.apache.flink.core.io.SimpleVersionedSerializer<KafkaPartitionSplit>	KafkaSource.getSplitSerializer()
org.apache.flink.api.connector.source.SplitEnumerator<KafkaPartitionSplit,KafkaSourceEnumState>	KafkaSource.restoreEnumerator(org.apache.flink.api.connector.source.SplitEnumeratorContext<KafkaPartitionSplit> enumContext, KafkaSourceEnumState checkpoint)

类型变量类型为KafkaPartitionSplit的org.apache.flink.connector.kafka.source中的方法参数

限定符和类型	方法和说明
org.apache.flink.api.connector.source.SplitEnumerator<KafkaPartitionSplit,KafkaSourceEnumState>	KafkaSource.createEnumerator(org.apache.flink.api.connector.source.SplitEnumeratorContext<KafkaPartitionSplit> enumContext)
org.apache.flink.api.connector.source.SplitEnumerator<KafkaPartitionSplit,KafkaSourceEnumState>	KafkaSource.restoreEnumerator(org.apache.flink.api.connector.source.SplitEnumeratorContext<KafkaPartitionSplit> enumContext, KafkaSourceEnumState checkpoint)

org.apache.flink.connector.kafka.source.enumerator中KafkaPartitionSplit的使用

类型变量类型为KafkaPartitionSplit的org.apache.flink.connector.kafka.source.enumerator中的方法参数

限定符和类型	方法和说明
void	KafkaSourceEnumerator.addSplitsBack(List<KafkaPartitionSplit> splits, int subtaskId)

类型变量类型为KafkaPartitionSplit的org.apache.flink.connector.kafka.source.enumerator中的构造器参数

构造器和说明
KafkaSourceEnumerator(KafkaSubscriber subscriber, OffsetsInitializer startingOffsetInitializer, OffsetsInitializer stoppingOffsetInitializer, Properties properties, org.apache.flink.api.connector.source.SplitEnumeratorContext<KafkaPartitionSplit> context, org.apache.flink.api.connector.source.Boundedness boundedness)
KafkaSourceEnumerator(KafkaSubscriber subscriber, OffsetsInitializer startingOffsetInitializer, OffsetsInitializer stoppingOffsetInitializer, Properties properties, org.apache.flink.api.connector.source.SplitEnumeratorContext<KafkaPartitionSplit> context, org.apache.flink.api.connector.source.Boundedness boundedness, Set<org.apache.kafka.common.TopicPartition> assignedPartitions)

org.apache.flink.connector.kafka.source.reader中KafkaPartitionSplit的使用

返回KafkaPartitionSplit的org.apache.flink.connector.kafka.source.reader中的方法

限定符和类型	方法和说明
protected KafkaPartitionSplit	KafkaSourceReader.toSplitType(String splitId, KafkaPartitionSplitState splitState)

返回变量类型为KafkaPartitionSplit的类型的org.apache.flink.connector.kafka.source.reader中的方法

限定符和类型	方法和说明
List<KafkaPartitionSplit>	KafkaSourceReader.snapshotState(long checkpointId)

参数类型为KafkaPartitionSplit的org.apache.flink.connector.kafka.source.reader中的方法

限定符和类型	方法和说明
protected KafkaPartitionSplitState	KafkaSourceReader.initializedState(KafkaPartitionSplit split)

类型变量类型为KafkaPartitionSplit的org.apache.flink.connector.kafka.source.reader中的方法参数

限定符和类型	方法和说明
void	KafkaPartitionSplitReader.handleSplitsChanges(org.apache.flink.connector.base.source.reader.splitreader.SplitsChange<KafkaPartitionSplit> splitsChange)
void	KafkaPartitionSplitReader.pauseOrResumeSplits(Collection<KafkaPartitionSplit> splitsToPause, Collection<KafkaPartitionSplit> splitsToResume)
void	KafkaPartitionSplitReader.pauseOrResumeSplits(Collection<KafkaPartitionSplit> splitsToPause, Collection<KafkaPartitionSplit> splitsToResume)

org.apache.flink.connector.kafka.source.reader.fetcher中KafkaPartitionSplit的使用

类型变量类型为KafkaPartitionSplit的org.apache.flink.connector.kafka.source.reader.fetcher中的构造器参数

构造器和说明

KafkaSourceFetcherManager(org.apache.flink.connector.base.source.reader.synchronization.FutureCompletingBlockingQueue<org.apache.flink.connector.base.source.reader.RecordsWithSplitIds<org.apache.kafka.clients.consumer.ConsumerRecord<byte[],byte[]>>> elementsQueue, java.util.function.Supplier<org.apache.flink.connector.base.source.reader.splitreader.SplitReader<org.apache.kafka.clients.consumer.ConsumerRecord<byte[],byte[]>,KafkaPartitionSplit>> splitReaderSupplier, java.util.function.Consumer<Collection<String>> splitFinishedHook) Creates a new SplitFetcherManager with a single I/O threads.

org.apache.flink.connector.kafka.source.split中KafkaPartitionSplit的使用

org.apache.flink.connector.kafka.source.split中KafkaPartitionSplit的子类

限定符和类型	类和说明
class	KafkaPartitionSplitState This class extends KafkaPartitionSplit to track a mutable current offset.

返回KafkaPartitionSplit的org.apache.flink.connector.kafka.source.split中的方法

限定符和类型	方法和说明
KafkaPartitionSplit	KafkaPartitionSplitSerializer.deserialize(int version, byte[] serialized)
KafkaPartitionSplit	KafkaPartitionSplitState.toKafkaPartitionSplit() Use the current offset as the starting offset to create a new KafkaPartitionSplit.

参数类型为KafkaPartitionSplit的org.apache.flink.connector.kafka.source.split中的方法

限定符和类型	方法和说明
byte[]	KafkaPartitionSplitSerializer.serialize(KafkaPartitionSplit split)

参数类型为KafkaPartitionSplit的org.apache.flink.connector.kafka.source.split中的构造器

构造器和说明
KafkaPartitionSplitState(KafkaPartitionSplit partitionSplit)