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Example 1 with DefaultVertexParallelismInfo

use of org.apache.flink.runtime.scheduler.DefaultVertexParallelismInfo in project flink by apache.

the class AdaptiveScheduler method computeReactiveModeVertexParallelismStore.

/**
 * Creates the parallelism store for a set of vertices, optionally with a flag to leave the
 * vertex parallelism unchanged. If the flag is set, the parallelisms must be valid for
 * execution.
 *
 * <p>We need to set parallelism to the max possible value when requesting resources, but when
 * executing the graph we should respect what we are actually given.
 *
 * @param vertices The vertices to store parallelism information for
 * @param adjustParallelism Whether to adjust the parallelism
 * @param defaultMaxParallelismFunc a function for computing a default max parallelism if none
 *     is specified on a given vertex
 * @return The parallelism store.
 */
@VisibleForTesting
static VertexParallelismStore computeReactiveModeVertexParallelismStore(Iterable<JobVertex> vertices, Function<JobVertex, Integer> defaultMaxParallelismFunc, boolean adjustParallelism) {
    DefaultVertexParallelismStore store = new DefaultVertexParallelismStore();
    for (JobVertex vertex : vertices) {
        // if no max parallelism was configured by the user, we calculate and set a default
        final int maxParallelism = vertex.getMaxParallelism() == JobVertex.MAX_PARALLELISM_DEFAULT ? defaultMaxParallelismFunc.apply(vertex) : vertex.getMaxParallelism();
        // If the parallelism has already been adjusted, respect what has been configured in the
        // vertex. Otherwise, scale it to the max parallelism to attempt to be "as parallel as
        // possible"
        final int parallelism;
        if (adjustParallelism) {
            parallelism = maxParallelism;
        } else {
            parallelism = vertex.getParallelism();
        }
        VertexParallelismInformation parallelismInfo = new DefaultVertexParallelismInfo(parallelism, maxParallelism, // based on the computed default, when actually fewer are necessary.
        (newMax) -> newMax >= maxParallelism ? Optional.empty() : Optional.of("Cannot lower max parallelism in Reactive mode."));
        store.setParallelismInfo(vertex.getID(), parallelismInfo);
    }
    return store;
}
Also used : VertexParallelismInformation(org.apache.flink.runtime.scheduler.VertexParallelismInformation) JobVertex(org.apache.flink.runtime.jobgraph.JobVertex) ExecutionJobVertex(org.apache.flink.runtime.executiongraph.ExecutionJobVertex) DefaultVertexParallelismStore(org.apache.flink.runtime.scheduler.DefaultVertexParallelismStore) DefaultVertexParallelismInfo(org.apache.flink.runtime.scheduler.DefaultVertexParallelismInfo) DeclineCheckpoint(org.apache.flink.runtime.messages.checkpoint.DeclineCheckpoint) VisibleForTesting(org.apache.flink.annotation.VisibleForTesting)

Aggregations

VisibleForTesting (org.apache.flink.annotation.VisibleForTesting)1 ExecutionJobVertex (org.apache.flink.runtime.executiongraph.ExecutionJobVertex)1 JobVertex (org.apache.flink.runtime.jobgraph.JobVertex)1 DeclineCheckpoint (org.apache.flink.runtime.messages.checkpoint.DeclineCheckpoint)1 DefaultVertexParallelismInfo (org.apache.flink.runtime.scheduler.DefaultVertexParallelismInfo)1 DefaultVertexParallelismStore (org.apache.flink.runtime.scheduler.DefaultVertexParallelismStore)1 VertexParallelismInformation (org.apache.flink.runtime.scheduler.VertexParallelismInformation)1