Uses of Interface
org.apache.flink.runtime.scheduler.VertexParallelismStore

Packages that use VertexParallelismStore

Package	Description
org.apache.flink.runtime.executiongraph
org.apache.flink.runtime.scheduler
org.apache.flink.runtime.scheduler.adaptive
org.apache.flink.runtime.scheduler.adaptivebatch

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

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

Modifier and Type	Method and Description
static DefaultExecutionGraph	DefaultExecutionGraphBuilder.buildGraph(JobGraph jobGraph, org.apache.flink.configuration.Configuration jobManagerConfig, ScheduledExecutorService futureExecutor, Executor ioExecutor, ClassLoader classLoader, CompletedCheckpointStore completedCheckpointStore, CheckpointsCleaner checkpointsCleaner, CheckpointIDCounter checkpointIdCounter, org.apache.flink.api.common.time.Time rpcTimeout, BlobWriter blobWriter, org.slf4j.Logger log, ShuffleMaster<?> shuffleMaster, JobMasterPartitionTracker partitionTracker, TaskDeploymentDescriptorFactory.PartitionLocationConstraint partitionLocationConstraint, ExecutionDeploymentListener executionDeploymentListener, ExecutionStateUpdateListener executionStateUpdateListener, long initializationTimestamp, VertexAttemptNumberStore vertexAttemptNumberStore, VertexParallelismStore vertexParallelismStore, Supplier<CheckpointStatsTracker> checkpointStatsTrackerFactory, boolean isDynamicGraph, ExecutionJobVertex.Factory executionJobVertexFactory, MarkPartitionFinishedStrategy markPartitionFinishedStrategy, boolean nonFinishedHybridPartitionShouldBeUnknown, JobManagerJobMetricGroup jobManagerJobMetricGroup)
static ArchivedExecutionGraph	ArchivedExecutionGraph.createSparseArchivedExecutionGraphWithJobVertices(org.apache.flink.api.common.JobID jobId, String jobName, org.apache.flink.api.common.JobStatus jobStatus, JobType jobType, Throwable throwable, JobCheckpointingSettings checkpointingSettings, long initializationTimestamp, Iterable<JobVertex> jobVertices, VertexParallelismStore initialParallelismStore)

Constructors in org.apache.flink.runtime.executiongraph with parameters of type VertexParallelismStore

Constructor and Description

DefaultExecutionGraph(JobType jobType, JobInformation jobInformation, ScheduledExecutorService futureExecutor, Executor ioExecutor, org.apache.flink.api.common.time.Time rpcTimeout, int executionHistorySizeLimit, ClassLoader userClassLoader, BlobWriter blobWriter, PartitionGroupReleaseStrategy.Factory partitionGroupReleaseStrategyFactory, ShuffleMaster<?> shuffleMaster, JobMasterPartitionTracker partitionTracker, ExecutionDeploymentListener executionDeploymentListener, ExecutionStateUpdateListener executionStateUpdateListener, long initializationTimestamp, VertexAttemptNumberStore initialAttemptCounts, VertexParallelismStore vertexParallelismStore, boolean isDynamic, ExecutionJobVertex.Factory executionJobVertexFactory, List<org.apache.flink.core.execution.JobStatusHook> jobStatusHooks, MarkPartitionFinishedStrategy markPartitionFinishedStrategy, TaskDeploymentDescriptorFactory taskDeploymentDescriptorFactory)

Uses of VertexParallelismStore in org.apache.flink.runtime.scheduler

Subinterfaces of VertexParallelismStore in org.apache.flink.runtime.scheduler

Modifier and Type	Interface and Description
interface	MutableVertexParallelismStore Mutability extension to the VertexParallelismStore.

Classes in org.apache.flink.runtime.scheduler that implement VertexParallelismStore

Modifier and Type	Class and Description
class	DefaultVertexParallelismStore Maintains the configured parallelisms for vertices, which should be defined by a scheduler.

Methods in org.apache.flink.runtime.scheduler that return VertexParallelismStore

Modifier and Type	Method and Description
static VertexParallelismStore	SchedulerBase.computeVertexParallelismStore(Iterable<JobVertex> vertices) Compute the VertexParallelismStore for all given vertices, which will set defaults and ensure that the returned store contains valid parallelisms.
static VertexParallelismStore	SchedulerBase.computeVertexParallelismStore(Iterable<JobVertex> vertices, Function<JobVertex,Integer> defaultMaxParallelismFunc)
static VertexParallelismStore	SchedulerBase.computeVertexParallelismStore(Iterable<JobVertex> vertices, Function<JobVertex,Integer> defaultMaxParallelismFunc, Function<Integer,Integer> normalizeParallelismFunc) Compute the VertexParallelismStore for all given vertices, which will set defaults and ensure that the returned store contains valid parallelisms, with a custom function for default max parallelism calculation and a custom function for normalizing vertex parallelism.
static VertexParallelismStore	SchedulerBase.computeVertexParallelismStore(JobGraph jobGraph) Compute the VertexParallelismStore for all vertices of a given job graph, which will set defaults and ensure that the returned store contains valid parallelisms.

Methods in org.apache.flink.runtime.scheduler that return types with arguments of type VertexParallelismStore

Modifier and Type	Method and Description
static Optional<VertexParallelismStore>	DefaultVertexParallelismStore.applyJobResourceRequirements(VertexParallelismStore oldVertexParallelismStore, JobResourceRequirements jobResourceRequirements) Create a new VertexParallelismStore that reflects given JobResourceRequirements.

Methods in org.apache.flink.runtime.scheduler with parameters of type VertexParallelismStore

Modifier and Type	Method and Description
static Optional<VertexParallelismStore>	DefaultVertexParallelismStore.applyJobResourceRequirements(VertexParallelismStore oldVertexParallelismStore, JobResourceRequirements jobResourceRequirements) Create a new VertexParallelismStore that reflects given JobResourceRequirements.
ExecutionGraph	ExecutionGraphFactory.createAndRestoreExecutionGraph(JobGraph jobGraph, CompletedCheckpointStore completedCheckpointStore, CheckpointsCleaner checkpointsCleaner, CheckpointIDCounter checkpointIdCounter, TaskDeploymentDescriptorFactory.PartitionLocationConstraint partitionLocationConstraint, long initializationTimestamp, VertexAttemptNumberStore vertexAttemptNumberStore, VertexParallelismStore vertexParallelismStore, ExecutionStateUpdateListener executionStateUpdateListener, MarkPartitionFinishedStrategy markPartitionFinishedStrategy, org.slf4j.Logger log) Create and restore ExecutionGraph from the given JobGraph and services.
ExecutionGraph	DefaultExecutionGraphFactory.createAndRestoreExecutionGraph(JobGraph jobGraph, CompletedCheckpointStore completedCheckpointStore, CheckpointsCleaner checkpointsCleaner, CheckpointIDCounter checkpointIdCounter, TaskDeploymentDescriptorFactory.PartitionLocationConstraint partitionLocationConstraint, long initializationTimestamp, VertexAttemptNumberStore vertexAttemptNumberStore, VertexParallelismStore vertexParallelismStore, ExecutionStateUpdateListener executionStateUpdateListener, MarkPartitionFinishedStrategy markPartitionFinishedStrategy, org.slf4j.Logger log)

Constructors in org.apache.flink.runtime.scheduler with parameters of type VertexParallelismStore

Constructor and Description
DefaultScheduler(org.slf4j.Logger log, JobGraph jobGraph, Executor ioExecutor, org.apache.flink.configuration.Configuration jobMasterConfiguration, Consumer<org.apache.flink.runtime.concurrent.ComponentMainThreadExecutor> startUpAction, org.apache.flink.util.concurrent.ScheduledExecutor delayExecutor, ClassLoader userCodeLoader, CheckpointsCleaner checkpointsCleaner, CheckpointRecoveryFactory checkpointRecoveryFactory, JobManagerJobMetricGroup jobManagerJobMetricGroup, SchedulingStrategyFactory schedulingStrategyFactory, FailoverStrategy.Factory failoverStrategyFactory, RestartBackoffTimeStrategy restartBackoffTimeStrategy, ExecutionOperations executionOperations, ExecutionVertexVersioner executionVertexVersioner, ExecutionSlotAllocatorFactory executionSlotAllocatorFactory, long initializationTimestamp, org.apache.flink.runtime.concurrent.ComponentMainThreadExecutor mainThreadExecutor, JobStatusListener jobStatusListener, Collection<org.apache.flink.core.failure.FailureEnricher> failureEnrichers, ExecutionGraphFactory executionGraphFactory, ShuffleMaster<?> shuffleMaster, org.apache.flink.api.common.time.Time rpcTimeout, VertexParallelismStore vertexParallelismStore, ExecutionDeployer.Factory executionDeployerFactory)
SchedulerBase(org.slf4j.Logger log, JobGraph jobGraph, Executor ioExecutor, org.apache.flink.configuration.Configuration jobMasterConfiguration, CheckpointsCleaner checkpointsCleaner, CheckpointRecoveryFactory checkpointRecoveryFactory, JobManagerJobMetricGroup jobManagerJobMetricGroup, ExecutionVertexVersioner executionVertexVersioner, long initializationTimestamp, org.apache.flink.runtime.concurrent.ComponentMainThreadExecutor mainThreadExecutor, JobStatusListener jobStatusListener, ExecutionGraphFactory executionGraphFactory, VertexParallelismStore vertexParallelismStore)

Uses of VertexParallelismStore in org.apache.flink.runtime.scheduler.adaptive

Methods in org.apache.flink.runtime.scheduler.adaptive that return VertexParallelismStore

Modifier and Type	Method and Description
VertexParallelismStore	JobGraphJobInformation.getVertexParallelismStore()

Constructors in org.apache.flink.runtime.scheduler.adaptive with parameters of type VertexParallelismStore

Constructor and Description
JobGraphJobInformation(JobGraph jobGraph, VertexParallelismStore vertexParallelismStore)

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

Methods in org.apache.flink.runtime.scheduler.adaptivebatch that return VertexParallelismStore

Modifier and Type	Method and Description
static VertexParallelismStore	AdaptiveBatchScheduler.computeVertexParallelismStoreForDynamicGraph(Iterable<JobVertex> vertices, int defaultMaxParallelism) Compute the VertexParallelismStore for all given vertices in a dynamic graph, which will set defaults and ensure that the returned store contains valid parallelisms, with the configured default max parallelism.