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

A

apply(Collector<OUT>, PartitionedContext) - 接口 中的方法org.apache.flink.datastream.api.function.ApplyPartitionFunction

The actual method to be applied to each partition.

apply(Collector<OUT1>, Collector<OUT2>, PartitionedContext) - 接口 中的方法org.apache.flink.datastream.api.function.TwoOutputApplyPartitionFunction

The actual method to be applied to each partition.

ApplyPartitionFunction<OUT> - org.apache.flink.datastream.api.function中的接口

A function to be applied to all partitions .

applyToAllPartitions(ApplyPartitionFunction<OUT>) - 接口 中的方法org.apache.flink.datastream.api.context.NonPartitionedContext

Apply a function to all partitions.

applyToAllPartitions(TwoOutputApplyPartitionFunction<OUT1, OUT2>) - 接口 中的方法org.apache.flink.datastream.api.context.TwoOutputNonPartitionedContext

Apply a function to all partitions.

B

broadcast() - 接口 中的方法org.apache.flink.datastream.api.stream.GlobalStream

Transform this stream to a new BroadcastStream.

broadcast() - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream

Transform this stream to a new BroadcastStream.

broadcast() - 接口 中的方法org.apache.flink.datastream.api.stream.NonKeyedPartitionStream

Transform this stream to a new BroadcastStream.

BroadcastStream<T> - org.apache.flink.datastream.api.stream中的接口

This interface represents a stream that each parallel task processes the same data.

C

close() - 接口 中的方法org.apache.flink.datastream.api.function.ProcessFunction

Tear-down method for the user code.

collect(OUT) - 接口 中的方法org.apache.flink.datastream.api.common.Collector

Collect record to output stream.

collectAndOverwriteTimestamp(OUT, long) - 接口 中的方法org.apache.flink.datastream.api.common.Collector

Overwrite the timestamp of this record and collect it to output stream.

Collector<OUT> - org.apache.flink.datastream.api.common中的接口

This class take response for collecting data to output stream.

connectAndProcess(KeyedPartitionStream<K, T_OTHER>, TwoInputBroadcastStreamProcessFunction<T_OTHER, T, OUT>) - 接口 中的方法org.apache.flink.datastream.api.stream.BroadcastStream

Apply a two input operation to this and other KeyedPartitionStream.

connectAndProcess(NonKeyedPartitionStream<T_OTHER>, TwoInputBroadcastStreamProcessFunction<T_OTHER, T, OUT>) - 接口 中的方法org.apache.flink.datastream.api.stream.BroadcastStream

Apply a two input operation to this and other NonKeyedPartitionStream.

connectAndProcess(KeyedPartitionStream<K, T_OTHER>, TwoInputBroadcastStreamProcessFunction<T_OTHER, T, OUT>, KeySelector<OUT, K>) - 接口 中的方法org.apache.flink.datastream.api.stream.BroadcastStream

Apply a two input operation to this and other KeyedPartitionStream.

connectAndProcess(GlobalStream<T_OTHER>, TwoInputNonBroadcastStreamProcessFunction<T, T_OTHER, OUT>) - 接口 中的方法org.apache.flink.datastream.api.stream.GlobalStream

Apply a two input operation to this and other GlobalStream.

connectAndProcess(KeyedPartitionStream<K, T_OTHER>, TwoInputNonBroadcastStreamProcessFunction<T, T_OTHER, OUT>) - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream

Apply a two input operation to this and other KeyedPartitionStream.

connectAndProcess(KeyedPartitionStream<K, T_OTHER>, TwoInputNonBroadcastStreamProcessFunction<T, T_OTHER, OUT>, KeySelector<OUT, K>) - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream

Apply a two input operation to this and other KeyedPartitionStream.The two keyed streams must have the same partitions, otherwise it makes no sense to connect them.

connectAndProcess(BroadcastStream<T_OTHER>, TwoInputBroadcastStreamProcessFunction<T, T_OTHER, OUT>) - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream

Apply a two input operation to this and other BroadcastStream.

connectAndProcess(BroadcastStream<T_OTHER>, TwoInputBroadcastStreamProcessFunction<T, T_OTHER, OUT>, KeySelector<OUT, K>) - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream

Apply a two input operation to this and other BroadcastStream.

connectAndProcess(NonKeyedPartitionStream<T_OTHER>, TwoInputNonBroadcastStreamProcessFunction<T, T_OTHER, OUT>) - 接口 中的方法org.apache.flink.datastream.api.stream.NonKeyedPartitionStream

Apply to a two input operation on this and other NonKeyedPartitionStream.

connectAndProcess(BroadcastStream<T_OTHER>, TwoInputBroadcastStreamProcessFunction<T, T_OTHER, OUT>) - 接口 中的方法org.apache.flink.datastream.api.stream.NonKeyedPartitionStream

Apply a two input operation to this and other BroadcastStream.

currentTime() - 接口 中的方法org.apache.flink.datastream.api.context.ProcessingTimeManager

Get the current processing time.

D

DataStream - org.apache.flink.datastream.api.stream中的接口

This is the topmost base interface of all streams of DataStream V2 API.

deleteTimer(long) - 接口 中的方法org.apache.flink.datastream.api.context.ProcessingTimeManager

Deletes the processing-time timer with the given trigger timestamp.

E

endBroadcastInput(NonPartitionedContext<OUT>) - 接口 中的方法org.apache.flink.datastream.api.function.TwoInputBroadcastStreamProcessFunction

This is a life-cycle method indicates that this function will no longer receive any data from the broadcast input.

endFirstInput(NonPartitionedContext<OUT>) - 接口 中的方法org.apache.flink.datastream.api.function.TwoInputNonBroadcastStreamProcessFunction

This is a life-cycle method indicates that this function will no longer receive any data from the first input.

endInput(NonPartitionedContext<OUT>) - 接口 中的方法org.apache.flink.datastream.api.function.OneInputStreamProcessFunction

This is a life-cycle method indicates that this function will no longer receive any data from the input.

endInput(TwoOutputNonPartitionedContext<OUT1, OUT2>) - 接口 中的方法org.apache.flink.datastream.api.function.TwoOutputStreamProcessFunction

This is a life-cycle method indicates that this function will no longer receive any input data.

endNonBroadcastInput(NonPartitionedContext<OUT>) - 接口 中的方法org.apache.flink.datastream.api.function.TwoInputBroadcastStreamProcessFunction

This is a life-cycle method indicates that this function will no longer receive any data from the non-broadcast input.

endSecondInput(NonPartitionedContext<OUT>) - 接口 中的方法org.apache.flink.datastream.api.function.TwoInputNonBroadcastStreamProcessFunction

This is a life-cycle method indicates that this function will no longer receive any data from the second input.

execute(String) - 接口 中的方法org.apache.flink.datastream.api.ExecutionEnvironment

Execute and submit the job attached to this environment.

ExecutionEnvironment - org.apache.flink.datastream.api中的接口

This is the context in which a program is executed.

F

fromSource(Source<OUT>, String) - 接口 中的方法org.apache.flink.datastream.api.ExecutionEnvironment

G

getCurrentKey() - 接口 中的方法org.apache.flink.datastream.api.context.StateManager

Get the key of current record.

getExecutionMode() - 接口 中的方法org.apache.flink.datastream.api.context.JobInfo

Get the JobInfo.ExecutionMode of current job.

getExecutionMode() - 接口 中的方法org.apache.flink.datastream.api.ExecutionEnvironment

Get the execution mode of this environment.

getFirst() - 接口 中的方法org.apache.flink.datastream.api.stream.GlobalStream.TwoGlobalStreams

Get the first stream.

getFirst() - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream.TwoKeyedPartitionStreams

Get the first stream.

getFirst() - 接口 中的方法org.apache.flink.datastream.api.stream.NonKeyedPartitionStream.TwoNonKeyedPartitionStreams

Get the first stream.

getInstance() - 接口 中的静态方法org.apache.flink.datastream.api.ExecutionEnvironment

Get the execution environment instance.

getJobInfo() - 接口 中的方法org.apache.flink.datastream.api.context.RuntimeContext

Get the JobInfo of this process function.

getJobName() - 接口 中的方法org.apache.flink.datastream.api.context.JobInfo

Get the name of current job.

getMaxParallelism() - 接口 中的方法org.apache.flink.datastream.api.context.TaskInfo

Get the max parallelism of current task.

getMetricGroup() - 接口 中的方法org.apache.flink.datastream.api.context.RuntimeContext

Get the metric group of this process function.

getParallelism() - 接口 中的方法org.apache.flink.datastream.api.context.TaskInfo

Get the parallelism of current task.

getProcessingTimeManager() - 接口 中的方法org.apache.flink.datastream.api.context.PartitionedContext

Get the ProcessingTimeManager of this process function.

getSecond() - 接口 中的方法org.apache.flink.datastream.api.stream.GlobalStream.TwoGlobalStreams

Get the second stream.

getSecond() - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream.TwoKeyedPartitionStreams

Get the second stream.

getSecond() - 接口 中的方法org.apache.flink.datastream.api.stream.NonKeyedPartitionStream.TwoNonKeyedPartitionStreams

Get the second stream.

getState(ListStateDeclaration<T>) - 接口 中的方法org.apache.flink.datastream.api.context.StateManager

Get the specific list state.

getState(ValueStateDeclaration<T>) - 接口 中的方法org.apache.flink.datastream.api.context.StateManager

Get the specific value state.

getState(MapStateDeclaration<K, V>) - 接口 中的方法org.apache.flink.datastream.api.context.StateManager

Get the specific map state.

getState(ReducingStateDeclaration<T>) - 接口 中的方法org.apache.flink.datastream.api.context.StateManager

Get the specific reducing state.

getState(AggregatingStateDeclaration<IN, ACC, OUT>) - 接口 中的方法org.apache.flink.datastream.api.context.StateManager

Get the specific aggregating state.

getState(BroadcastStateDeclaration<K, V>) - 接口 中的方法org.apache.flink.datastream.api.context.StateManager

Get the specific broadcast state.

getStateManager() - 接口 中的方法org.apache.flink.datastream.api.context.PartitionedContext

Get the StateManager of this process function.

getTaskInfo() - 接口 中的方法org.apache.flink.datastream.api.context.RuntimeContext

Get the TaskInfo of this process function.

getTaskName() - 接口 中的方法org.apache.flink.datastream.api.context.TaskInfo

Get the name of current task.

global() - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream

Coalesce this stream to a GlobalStream.

global() - 接口 中的方法org.apache.flink.datastream.api.stream.NonKeyedPartitionStream

Coalesce this stream to a GlobalStream.

GlobalStream<T> - org.apache.flink.datastream.api.stream中的接口

This interface represents a stream that force single parallelism.

GlobalStream.ProcessConfigurableAndGlobalStream<T> - org.apache.flink.datastream.api.stream中的接口

This interface represents a configurable GlobalStream.

GlobalStream.TwoGlobalStreams<T1,T2> - org.apache.flink.datastream.api.stream中的接口

This class represents a combination of two GlobalStream.

J

JobInfo - org.apache.flink.datastream.api.context中的接口

JobInfo contains all the meta information of the job.

JobInfo.ExecutionMode - org.apache.flink.datastream.api.context中的枚举

Execution mode of this current job.

K

keyBy(KeySelector<T, K>) - 接口 中的方法org.apache.flink.datastream.api.stream.GlobalStream

Transform this stream to a KeyedPartitionStream.

keyBy(KeySelector<T, NEW_KEY>) - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream

Transform this stream to a new KeyedPartitionStream.

keyBy(KeySelector<T, K>) - 接口 中的方法org.apache.flink.datastream.api.stream.NonKeyedPartitionStream

Transform this stream to a KeyedPartitionStream.

KeyedPartitionStream<K,T> - org.apache.flink.datastream.api.stream中的接口

This interface represents a kind of partitioned data stream.

KeyedPartitionStream.ProcessConfigurableAndKeyedPartitionStream<K,T> - org.apache.flink.datastream.api.stream中的接口

This interface represents a configurable KeyedPartitionStream.

KeyedPartitionStream.TwoKeyedPartitionStreams<K,T1,T2> - org.apache.flink.datastream.api.stream中的接口

This class represents a combination of two KeyedPartitionStream.

N

NonKeyedPartitionStream<T> - org.apache.flink.datastream.api.stream中的接口

This interface represents a kind of partitioned data stream.

NonKeyedPartitionStream.ProcessConfigurableAndNonKeyedPartitionStream<T> - org.apache.flink.datastream.api.stream中的接口

This interface represents a configurable NonKeyedPartitionStream.

NonKeyedPartitionStream.TwoNonKeyedPartitionStreams<T1,T2> - org.apache.flink.datastream.api.stream中的接口

This interface represents a combination of two NonKeyedPartitionStream.

NonPartitionedContext<OUT> - org.apache.flink.datastream.api.context中的接口

This interface represents the context associated with all operations must be applied to all partitions.

O

OneInputStreamProcessFunction<IN,OUT> - org.apache.flink.datastream.api.function中的接口

This contains all logical related to process records from single input.

onProcessingTimer(long, Collector<OUT>, PartitionedContext) - 接口 中的方法org.apache.flink.datastream.api.function.OneInputStreamProcessFunction

Callback for processing timer.

onProcessingTimer(long, Collector<OUT>, PartitionedContext) - 接口 中的方法org.apache.flink.datastream.api.function.TwoInputBroadcastStreamProcessFunction

Callback for processing timer.

onProcessingTimer(long, Collector<OUT>, PartitionedContext) - 接口 中的方法org.apache.flink.datastream.api.function.TwoInputNonBroadcastStreamProcessFunction

Callback for processing timer.

onProcessingTimer(long, Collector<OUT1>, Collector<OUT2>, PartitionedContext) - 接口 中的方法org.apache.flink.datastream.api.function.TwoOutputStreamProcessFunction

Callback for processing timer.

open() - 接口 中的方法org.apache.flink.datastream.api.function.ProcessFunction

Initialization method for the function.

org.apache.flink.datastream.api - 程序包 org.apache.flink.datastream.api

org.apache.flink.datastream.api.common - 程序包 org.apache.flink.datastream.api.common

org.apache.flink.datastream.api.context - 程序包 org.apache.flink.datastream.api.context

org.apache.flink.datastream.api.function - 程序包 org.apache.flink.datastream.api.function

org.apache.flink.datastream.api.stream - 程序包 org.apache.flink.datastream.api.stream

P

PartitionedContext - org.apache.flink.datastream.api.context中的接口

On the base of RuntimeContext, PartitionedContext also contains all partition-wise execution information, such as getting state, registering timer, etc.

process(OneInputStreamProcessFunction<T, OUT>) - 接口 中的方法org.apache.flink.datastream.api.stream.GlobalStream

Apply an operation to this GlobalStream.

process(TwoOutputStreamProcessFunction<T, OUT1, OUT2>) - 接口 中的方法org.apache.flink.datastream.api.stream.GlobalStream

Apply a two output operation to this GlobalStream.

process(OneInputStreamProcessFunction<T, OUT>, KeySelector<OUT, K>) - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream

Apply an operation to this KeyedPartitionStream.

process(OneInputStreamProcessFunction<T, OUT>) - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream

Apply an operation to this KeyedPartitionStream.

process(TwoOutputStreamProcessFunction<T, OUT1, OUT2>, KeySelector<OUT1, K>, KeySelector<OUT2, K>) - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream

Apply a two output operation to this KeyedPartitionStream.

process(TwoOutputStreamProcessFunction<T, OUT1, OUT2>) - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream

Apply a two output operation to this KeyedPartitionStream.

process(OneInputStreamProcessFunction<T, OUT>) - 接口 中的方法org.apache.flink.datastream.api.stream.NonKeyedPartitionStream

Apply an operation to this NonKeyedPartitionStream.

process(TwoOutputStreamProcessFunction<T, OUT1, OUT2>) - 接口 中的方法org.apache.flink.datastream.api.stream.NonKeyedPartitionStream

Apply a two output operation to this NonKeyedPartitionStream.

ProcessConfigurable<T extends ProcessConfigurable<T>> - org.apache.flink.datastream.api.stream中的接口

This represents the configuration handle of processing.

ProcessFunction - org.apache.flink.datastream.api.function中的接口

Base class for all user defined process functions.

ProcessingTimeManager - org.apache.flink.datastream.api.context中的接口

This is responsibility for managing runtime information related to processing time of process function.

processRecord(IN, Collector<OUT>, PartitionedContext) - 接口 中的方法org.apache.flink.datastream.api.function.OneInputStreamProcessFunction

Process record and emit data through Collector.

processRecord(IN, Collector<OUT1>, Collector<OUT2>, PartitionedContext) - 接口 中的方法org.apache.flink.datastream.api.function.TwoOutputStreamProcessFunction

Process and emit record to the first/second output through Collectors.

processRecordFromBroadcastInput(IN2, NonPartitionedContext<OUT>) - 接口 中的方法org.apache.flink.datastream.api.function.TwoInputBroadcastStreamProcessFunction

Process record from broadcast input.

processRecordFromFirstInput(IN1, Collector<OUT>, PartitionedContext) - 接口 中的方法org.apache.flink.datastream.api.function.TwoInputNonBroadcastStreamProcessFunction

Process record from the first input and emit data through Collector.

processRecordFromNonBroadcastInput(IN1, Collector<OUT>, PartitionedContext) - 接口 中的方法org.apache.flink.datastream.api.function.TwoInputBroadcastStreamProcessFunction

Process record from non-broadcast input and emit data through Collector.

processRecordFromSecondInput(IN2, Collector<OUT>, PartitionedContext) - 接口 中的方法org.apache.flink.datastream.api.function.TwoInputNonBroadcastStreamProcessFunction

Process record from the second input and emit data through Collector.

R

registerTimer(long) - 接口 中的方法org.apache.flink.datastream.api.context.ProcessingTimeManager

Register a processing timer for this process function.

RuntimeContext - org.apache.flink.datastream.api.context中的接口

A RuntimeContext contains information about the context in which process functions are executed.

S

setExecutionMode(RuntimeExecutionMode) - 接口 中的方法org.apache.flink.datastream.api.ExecutionEnvironment

Set the execution mode for this environment.

shuffle() - 接口 中的方法org.apache.flink.datastream.api.stream.GlobalStream

Transform this stream to a new NonKeyedPartitionStream, data will be shuffled between these two streams.

shuffle() - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream

Transform this stream to a new NonKeyedPartitionStream, data will be shuffled between these two streams.

shuffle() - 接口 中的方法org.apache.flink.datastream.api.stream.NonKeyedPartitionStream

Transform this stream to a new NonKeyedPartitionStream, data will be shuffled between these two streams.

StateManager - org.apache.flink.datastream.api.context中的接口

This is responsibility for managing runtime information related to state of process function.

T

TaskInfo - org.apache.flink.datastream.api.context中的接口

TaskInfo contains all the meta information of the task.

toSink(Sink<T>) - 接口 中的方法org.apache.flink.datastream.api.stream.GlobalStream

toSink(Sink<T>) - 接口 中的方法org.apache.flink.datastream.api.stream.KeyedPartitionStream

toSink(Sink<T>) - 接口 中的方法org.apache.flink.datastream.api.stream.NonKeyedPartitionStream

TwoInputBroadcastStreamProcessFunction<IN1,IN2,OUT> - org.apache.flink.datastream.api.function中的接口

This contains all logical related to process records from a broadcast stream and a non-broadcast stream.

TwoInputNonBroadcastStreamProcessFunction<IN1,IN2,OUT> - org.apache.flink.datastream.api.function中的接口

This contains all logical related to process records from two non-broadcast input.

TwoOutputApplyPartitionFunction<OUT1,OUT2> - org.apache.flink.datastream.api.function中的接口

A function to be applied to all partitions with two outputs.

TwoOutputNonPartitionedContext<OUT1,OUT2> - org.apache.flink.datastream.api.context中的接口

This interface represents the context associated with all operations must be applied to all partitions with two outputs.

TwoOutputStreamProcessFunction<IN,OUT1,OUT2> - org.apache.flink.datastream.api.function中的接口

This contains all logical related to process and emit records to two output streams.

U

usesStates() - 接口 中的方法org.apache.flink.datastream.api.function.ProcessFunction

Explicitly declares states upfront.

V

valueOf(String) - 枚举 中的静态方法org.apache.flink.datastream.api.context.JobInfo.ExecutionMode

返回带有指定名称的该类型的枚举常量。

values() - 枚举 中的静态方法org.apache.flink.datastream.api.context.JobInfo.ExecutionMode

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

withMaxParallelism(int) - 接口 中的方法org.apache.flink.datastream.api.stream.ProcessConfigurable

Sets the maximum parallelism of this operator.

withName(String) - 接口 中的方法org.apache.flink.datastream.api.stream.ProcessConfigurable

Sets the name of the current data stream.

withParallelism(int) - 接口 中的方法org.apache.flink.datastream.api.stream.ProcessConfigurable

Sets the parallelism for this process operator.

withSlotSharingGroup(SlotSharingGroup) - 接口 中的方法org.apache.flink.datastream.api.stream.ProcessConfigurable

Sets the slot sharing group of this operation.

withUid(String) - 接口 中的方法org.apache.flink.datastream.api.stream.ProcessConfigurable

Sets an ID for this operator.

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