Uses of Class
org.apache.flink.runtime.executiongraph.JobVertexInputInfo

Packages that use JobVertexInputInfo

Package	Description
org.apache.flink.runtime.executiongraph
org.apache.flink.runtime.jobmaster.event
org.apache.flink.runtime.scheduler.adaptivebatch
org.apache.flink.runtime.scheduler.adaptivebatch.util

Uses of JobVertexInputInfo in org.apache.flink.runtime.executiongraph

Methods in org.apache.flink.runtime.executiongraph that return JobVertexInputInfo

Modifier and Type	Method	Description
static JobVertexInputInfo	VertexInputInfoComputationUtils.computeVertexInputInfoForAllToAll(int sourceCount, int targetCount, Function<Integer,Integer> numOfSubpartitionsRetriever, boolean isDynamicGraph, boolean isBroadcast, boolean isSingleSubpartitionContainsAllData)	Compute the JobVertexInputInfo for a DistributionPattern.ALL_TO_ALL edge.
static JobVertexInputInfo	VertexInputInfoComputationUtils.computeVertexInputInfoForPointwise(int sourceCount, int targetCount, Function<Integer,Integer> numOfSubpartitionsRetriever, boolean isDynamicGraph)	Compute the JobVertexInputInfo for a DistributionPattern.POINTWISE edge.
JobVertexInputInfo	VertexInputInfoStore.get(JobVertexID jobVertexId, IntermediateDataSetID resultId)	Get a JobVertexInputInfo.
JobVertexInputInfo	DefaultExecutionGraph.getJobVertexInputInfo(JobVertexID jobVertexId, IntermediateDataSetID resultId)
JobVertexInputInfo	InternalExecutionGraphAccessor.getJobVertexInputInfo(JobVertexID jobVertexId, IntermediateDataSetID resultId)	Get the input info of a certain input of a certain job vertex.

Methods in org.apache.flink.runtime.executiongraph that return types with arguments of type JobVertexInputInfo

Modifier and Type	Method	Description
static Map<IntermediateDataSetID,JobVertexInputInfo>	VertexInputInfoComputationUtils.computeVertexInputInfos(int parallelism, List<? extends IntermediateResultInfo> inputs, boolean isDynamicGraph)
static Map<IntermediateDataSetID,JobVertexInputInfo>	VertexInputInfoComputationUtils.computeVertexInputInfos(ExecutionJobVertex ejv, Function<IntermediateDataSetID,IntermediateResult> intermediateResultRetriever)
Map<IntermediateDataSetID,JobVertexInputInfo>	ParallelismAndInputInfos.getJobVertexInputInfos()

Methods in org.apache.flink.runtime.executiongraph with parameters of type JobVertexInputInfo

Modifier and Type	Method	Description
void	VertexInputInfoStore.put(JobVertexID jobVertexId, IntermediateDataSetID resultId, JobVertexInputInfo info)	Put a JobVertexInputInfo.

Method parameters in org.apache.flink.runtime.executiongraph with type arguments of type JobVertexInputInfo

Modifier and Type	Method	Description
void	DefaultExecutionGraph.initializeJobVertex(ExecutionJobVertex ejv, long createTimestamp, Map<IntermediateDataSetID,JobVertexInputInfo> jobVertexInputInfos)
void	ExecutionGraph.initializeJobVertex(ExecutionJobVertex ejv, long createTimestamp, Map<IntermediateDataSetID,JobVertexInputInfo> jobVertexInputInfos)	Initialize the given execution job vertex, mainly includes creating execution vertices according to the parallelism, and connecting to the predecessors.

Constructor parameters in org.apache.flink.runtime.executiongraph with type arguments of type JobVertexInputInfo

Modifier	Constructor	Description
	ParallelismAndInputInfos(int parallelism, Map<IntermediateDataSetID,JobVertexInputInfo> jobVertexInputInfos)

Uses of JobVertexInputInfo in org.apache.flink.runtime.jobmaster.event

Methods in org.apache.flink.runtime.jobmaster.event that return types with arguments of type JobVertexInputInfo

Modifier and Type	Method	Description
Map<IntermediateDataSetID,JobVertexInputInfo>	ExecutionJobVertexInitializedEvent.getJobVertexInputInfos()

Constructor parameters in org.apache.flink.runtime.jobmaster.event with type arguments of type JobVertexInputInfo

Modifier	Constructor	Description
	ExecutionJobVertexInitializedEvent(JobVertexID jobVertexId, int parallelism, Map<IntermediateDataSetID,JobVertexInputInfo> jobVertexInputInfos)

Uses of JobVertexInputInfo in org.apache.flink.runtime.scheduler.adaptivebatch

Method parameters in org.apache.flink.runtime.scheduler.adaptivebatch with type arguments of type JobVertexInputInfo

Modifier and Type	Method	Description
void	BatchJobRecoveryContext.initializeJobVertex(ExecutionJobVertex jobVertex, int parallelism, Map<IntermediateDataSetID,JobVertexInputInfo> jobVertexInputInfos, long createTimestamp)	Initializes a given job vertex with the specified parallelism and input information.
void	BatchJobRecoveryHandler.onExecutionJobVertexInitialization(JobVertexID jobVertexId, int parallelism, Map<IntermediateDataSetID,JobVertexInputInfo> jobVertexInputInfos)	Records the job vertex initialization event for use during future batch job recovery.
void	DefaultBatchJobRecoveryHandler.onExecutionJobVertexInitialization(JobVertexID jobVertexId, int parallelism, Map<IntermediateDataSetID,JobVertexInputInfo> jobVertexInputInfos)
void	DummyBatchJobRecoveryHandler.onExecutionJobVertexInitialization(JobVertexID jobVertexId, int parallelism, Map<IntermediateDataSetID,JobVertexInputInfo> jobVertexInputInfos)

Uses of JobVertexInputInfo in org.apache.flink.runtime.scheduler.adaptivebatch.util

Methods in org.apache.flink.runtime.scheduler.adaptivebatch.util that return JobVertexInputInfo

Modifier and Type	Method	Description
static JobVertexInputInfo	VertexParallelismAndInputInfosDeciderUtils.createdJobVertexInputInfoForBroadcast(BlockingInputInfo inputInfo, int parallelism)
static JobVertexInputInfo	VertexParallelismAndInputInfosDeciderUtils.createdJobVertexInputInfoForNonBroadcast(BlockingInputInfo inputInfo, List<IndexRange> subpartitionSliceRanges, List<SubpartitionSlice> subpartitionSlices)

Methods in org.apache.flink.runtime.scheduler.adaptivebatch.util that return types with arguments of type JobVertexInputInfo

Modifier and Type	Method	Description
Map<IntermediateDataSetID,JobVertexInputInfo>	AllToAllVertexInputInfoComputer.compute(JobVertexID jobVertexId, List<BlockingInputInfo> inputInfos, int parallelism, int minParallelism, int maxParallelism, long dataVolumePerTask)	Decide parallelism and input infos, which will make the data be evenly distributed to downstream subtasks for ALL_TO_ALL, such that different downstream subtasks consume roughly the same amount of data.
Map<IntermediateDataSetID,JobVertexInputInfo>	PointwiseVertexInputInfoComputer.compute(List<BlockingInputInfo> inputInfos, int parallelism, int minParallelism, int maxParallelism, long dataVolumePerTask)	Decide parallelism and input infos, which will make the data be evenly distributed to downstream subtasks for POINTWISE, such that different downstream subtasks consume roughly the same amount of data.
static Map<IntermediateDataSetID,JobVertexInputInfo>	VertexParallelismAndInputInfosDeciderUtils.createJobVertexInputInfos(List<BlockingInputInfo> inputInfos, Map<Integer,List<SubpartitionSlice>> subpartitionSlices, List<IndexRange> subpartitionSliceRanges, Function<Integer,Integer> subpartitionSliceKeyResolver)

Methods in org.apache.flink.runtime.scheduler.adaptivebatch.util with parameters of type JobVertexInputInfo

Modifier and Type	Method	Description
static void	VertexParallelismAndInputInfosDeciderUtils.logBalancedDataDistributionOptimizationResult(org.slf4j.Logger logger, JobVertexID jobVertexId, BlockingInputInfo inputInfo, JobVertexInputInfo optimizedJobVertexInputInfo)	Logs the data distribution optimization info when a balanced data distribution algorithm is effectively optimized compared to the num-based data distribution algorithm.

Method parameters in org.apache.flink.runtime.scheduler.adaptivebatch.util with type arguments of type JobVertexInputInfo

Modifier and Type	Method	Description
static int	VertexParallelismAndInputInfosDeciderUtils.checkAndGetParallelism(Collection<JobVertexInputInfo> vertexInputInfos)