All Downloads are FREE. Search and download functionalities are using the official Maven repository.

org.apache.flink.runtime.jobmaster.DefaultSlotPoolServiceSchedulerFactory Maven / Gradle / Ivy

There is a newer version: 1.19.0
Show newest version
/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.flink.runtime.jobmaster;

import org.apache.flink.annotation.VisibleForTesting;
import org.apache.flink.api.common.JobID;
import org.apache.flink.api.common.time.Time;
import org.apache.flink.configuration.AkkaOptions;
import org.apache.flink.configuration.CheckpointingOptions;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.configuration.JobManagerOptions;
import org.apache.flink.configuration.SchedulerExecutionMode;
import org.apache.flink.runtime.blob.BlobWriter;
import org.apache.flink.runtime.blocklist.BlocklistOperations;
import org.apache.flink.runtime.checkpoint.CheckpointRecoveryFactory;
import org.apache.flink.runtime.concurrent.ComponentMainThreadExecutor;
import org.apache.flink.runtime.executiongraph.JobStatusListener;
import org.apache.flink.runtime.io.network.partition.JobMasterPartitionTracker;
import org.apache.flink.runtime.jobgraph.JobGraph;
import org.apache.flink.runtime.jobgraph.JobType;
import org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPoolBridgeServiceFactory;
import org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPoolFactory;
import org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPoolServiceFactory;
import org.apache.flink.runtime.jobmaster.slotpool.PreferredAllocationRequestSlotMatchingStrategy;
import org.apache.flink.runtime.jobmaster.slotpool.RequestSlotMatchingStrategy;
import org.apache.flink.runtime.jobmaster.slotpool.SimpleRequestSlotMatchingStrategy;
import org.apache.flink.runtime.jobmaster.slotpool.SlotPoolService;
import org.apache.flink.runtime.jobmaster.slotpool.SlotPoolServiceFactory;
import org.apache.flink.runtime.metrics.groups.JobManagerJobMetricGroup;
import org.apache.flink.runtime.rpc.FatalErrorHandler;
import org.apache.flink.runtime.scheduler.DefaultSchedulerFactory;
import org.apache.flink.runtime.scheduler.SchedulerNG;
import org.apache.flink.runtime.scheduler.SchedulerNGFactory;
import org.apache.flink.runtime.scheduler.adaptive.AdaptiveSchedulerFactory;
import org.apache.flink.runtime.scheduler.adaptivebatch.AdaptiveBatchSchedulerFactory;
import org.apache.flink.runtime.shuffle.ShuffleMaster;
import org.apache.flink.util.Preconditions;
import org.apache.flink.util.clock.SystemClock;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.time.Duration;
import java.util.concurrent.Executor;
import java.util.concurrent.ScheduledExecutorService;

/** Default {@link SlotPoolServiceSchedulerFactory} implementation. */
public final class DefaultSlotPoolServiceSchedulerFactory
        implements SlotPoolServiceSchedulerFactory {

    private static final Logger LOG =
            LoggerFactory.getLogger(DefaultSlotPoolServiceSchedulerFactory.class);

    private final SlotPoolServiceFactory slotPoolServiceFactory;

    private final SchedulerNGFactory schedulerNGFactory;

    private DefaultSlotPoolServiceSchedulerFactory(
            SlotPoolServiceFactory slotPoolServiceFactory, SchedulerNGFactory schedulerNGFactory) {
        this.slotPoolServiceFactory = slotPoolServiceFactory;
        this.schedulerNGFactory = schedulerNGFactory;
    }

    @VisibleForTesting
    SchedulerNGFactory getSchedulerNGFactory() {
        return schedulerNGFactory;
    }

    @Override
    public SlotPoolService createSlotPoolService(
            JobID jid, DeclarativeSlotPoolFactory declarativeSlotPoolFactory) {
        return slotPoolServiceFactory.createSlotPoolService(jid, declarativeSlotPoolFactory);
    }

    @Override
    public JobManagerOptions.SchedulerType getSchedulerType() {
        return schedulerNGFactory.getSchedulerType();
    }

    @Override
    public SchedulerNG createScheduler(
            Logger log,
            JobGraph jobGraph,
            Executor ioExecutor,
            Configuration configuration,
            SlotPoolService slotPoolService,
            ScheduledExecutorService futureExecutor,
            ClassLoader userCodeLoader,
            CheckpointRecoveryFactory checkpointRecoveryFactory,
            Time rpcTimeout,
            BlobWriter blobWriter,
            JobManagerJobMetricGroup jobManagerJobMetricGroup,
            Time slotRequestTimeout,
            ShuffleMaster shuffleMaster,
            JobMasterPartitionTracker partitionTracker,
            ExecutionDeploymentTracker executionDeploymentTracker,
            long initializationTimestamp,
            ComponentMainThreadExecutor mainThreadExecutor,
            FatalErrorHandler fatalErrorHandler,
            JobStatusListener jobStatusListener,
            BlocklistOperations blocklistOperations)
            throws Exception {
        return schedulerNGFactory.createInstance(
                log,
                jobGraph,
                ioExecutor,
                configuration,
                slotPoolService,
                futureExecutor,
                userCodeLoader,
                checkpointRecoveryFactory,
                rpcTimeout,
                blobWriter,
                jobManagerJobMetricGroup,
                slotRequestTimeout,
                shuffleMaster,
                partitionTracker,
                executionDeploymentTracker,
                initializationTimestamp,
                mainThreadExecutor,
                fatalErrorHandler,
                jobStatusListener,
                blocklistOperations);
    }

    public static DefaultSlotPoolServiceSchedulerFactory create(
            SlotPoolServiceFactory slotPoolServiceFactory, SchedulerNGFactory schedulerNGFactory) {
        return new DefaultSlotPoolServiceSchedulerFactory(
                slotPoolServiceFactory, schedulerNGFactory);
    }

    public static DefaultSlotPoolServiceSchedulerFactory fromConfiguration(
            Configuration configuration, JobType jobType, boolean isDynamicGraph) {

        final Time rpcTimeout =
                Time.fromDuration(configuration.get(AkkaOptions.ASK_TIMEOUT_DURATION));
        final Time slotIdleTimeout =
                Time.milliseconds(configuration.getLong(JobManagerOptions.SLOT_IDLE_TIMEOUT));
        final Time batchSlotTimeout =
                Time.milliseconds(configuration.getLong(JobManagerOptions.SLOT_REQUEST_TIMEOUT));

        final SlotPoolServiceFactory slotPoolServiceFactory;
        final SchedulerNGFactory schedulerNGFactory;

        JobManagerOptions.SchedulerType schedulerType =
                getSchedulerType(configuration, jobType, isDynamicGraph);

        if (configuration
                .getOptional(JobManagerOptions.HYBRID_PARTITION_DATA_CONSUME_CONSTRAINT)
                .isPresent()) {
            Preconditions.checkState(
                    schedulerType == JobManagerOptions.SchedulerType.AdaptiveBatch,
                    "Only adaptive batch scheduler supports setting "
                            + JobManagerOptions.HYBRID_PARTITION_DATA_CONSUME_CONSTRAINT.key());
        }

        switch (schedulerType) {
            case Default:
                schedulerNGFactory = new DefaultSchedulerFactory();
                slotPoolServiceFactory =
                        new DeclarativeSlotPoolBridgeServiceFactory(
                                SystemClock.getInstance(),
                                rpcTimeout,
                                slotIdleTimeout,
                                batchSlotTimeout,
                                getRequestSlotMatchingStrategy(configuration, jobType));
                break;
            case Adaptive:
                schedulerNGFactory = getAdaptiveSchedulerFactoryFromConfiguration(configuration);
                slotPoolServiceFactory =
                        new DeclarativeSlotPoolServiceFactory(
                                SystemClock.getInstance(), slotIdleTimeout, rpcTimeout);
                break;
            case AdaptiveBatch:
                schedulerNGFactory = new AdaptiveBatchSchedulerFactory();
                slotPoolServiceFactory =
                        new DeclarativeSlotPoolBridgeServiceFactory(
                                SystemClock.getInstance(),
                                rpcTimeout,
                                slotIdleTimeout,
                                batchSlotTimeout,
                                getRequestSlotMatchingStrategy(configuration, jobType));
                break;
            default:
                throw new IllegalArgumentException(
                        String.format(
                                "Illegal value [%s] for config option [%s]",
                                schedulerType, JobManagerOptions.SCHEDULER.key()));
        }

        return new DefaultSlotPoolServiceSchedulerFactory(
                slotPoolServiceFactory, schedulerNGFactory);
    }

    private static JobManagerOptions.SchedulerType getSchedulerType(
            Configuration configuration, JobType jobType, boolean isDynamicGraph) {
        JobManagerOptions.SchedulerType schedulerType;
        if (jobType == JobType.BATCH) {
            if (configuration.get(JobManagerOptions.SCHEDULER_MODE)
                            == SchedulerExecutionMode.REACTIVE
                    || configuration.get(JobManagerOptions.SCHEDULER)
                            == JobManagerOptions.SchedulerType.Adaptive) {
                LOG.info(
                        "Adaptive Scheduler configured, but Batch job detected. Changing scheduler type to 'AdaptiveBatch'.");
                // overwrite
                schedulerType = JobManagerOptions.SchedulerType.AdaptiveBatch;
            } else {
                schedulerType =
                        configuration
                                .getOptional(JobManagerOptions.SCHEDULER)
                                .orElse(
                                        isDynamicGraph
                                                ? JobManagerOptions.SchedulerType.AdaptiveBatch
                                                : JobManagerOptions.SchedulerType.Default);
            }
        } else {
            if (configuration.get(JobManagerOptions.SCHEDULER_MODE)
                    == SchedulerExecutionMode.REACTIVE) {
                schedulerType = JobManagerOptions.SchedulerType.Adaptive;
            } else {
                schedulerType =
                        configuration
                                .getOptional(JobManagerOptions.SCHEDULER)
                                .orElse(
                                        System.getProperties()
                                                        .containsKey(
                                                                "flink.tests.enable-adaptive-scheduler")
                                                ? JobManagerOptions.SchedulerType.Adaptive
                                                : JobManagerOptions.SchedulerType.Default);
            }
        }

        if (schedulerType == JobManagerOptions.SchedulerType.Ng) {
            LOG.warn(
                    "Config value '{}' for option '{}' is deprecated, use '{}' instead.",
                    JobManagerOptions.SchedulerType.Ng,
                    JobManagerOptions.SCHEDULER.key(),
                    JobManagerOptions.SchedulerType.Default);
            // overwrite
            schedulerType = JobManagerOptions.SchedulerType.Default;
        }
        return schedulerType;
    }

    @VisibleForTesting
    static RequestSlotMatchingStrategy getRequestSlotMatchingStrategy(
            Configuration configuration, JobType jobType) {
        final boolean isLocalRecoveryEnabled =
                configuration.get(CheckpointingOptions.LOCAL_RECOVERY);

        if (isLocalRecoveryEnabled) {
            if (jobType == JobType.STREAMING) {
                return PreferredAllocationRequestSlotMatchingStrategy.INSTANCE;
            } else {
                LOG.warn(
                        "Batch jobs do not support local recovery. Falling back for request slot matching strategy to {}.",
                        SimpleRequestSlotMatchingStrategy.class.getSimpleName());
                return SimpleRequestSlotMatchingStrategy.INSTANCE;
            }
        } else {
            return SimpleRequestSlotMatchingStrategy.INSTANCE;
        }
    }

    private static AdaptiveSchedulerFactory getAdaptiveSchedulerFactoryFromConfiguration(
            Configuration configuration) {
        Duration allocationTimeoutDefault = JobManagerOptions.RESOURCE_WAIT_TIMEOUT.defaultValue();
        Duration stabilizationTimeoutDefault =
                JobManagerOptions.RESOURCE_STABILIZATION_TIMEOUT.defaultValue();

        if (configuration.get(JobManagerOptions.SCHEDULER_MODE)
                == SchedulerExecutionMode.REACTIVE) {
            allocationTimeoutDefault = Duration.ofMillis(-1);
            stabilizationTimeoutDefault = Duration.ZERO;
        }

        final Duration initialResourceAllocationTimeout =
                configuration
                        .getOptional(JobManagerOptions.RESOURCE_WAIT_TIMEOUT)
                        .orElse(allocationTimeoutDefault);

        final Duration resourceStabilizationTimeout =
                configuration
                        .getOptional(JobManagerOptions.RESOURCE_STABILIZATION_TIMEOUT)
                        .orElse(stabilizationTimeoutDefault);

        return new AdaptiveSchedulerFactory(
                initialResourceAllocationTimeout, resourceStabilizationTimeout);
    }
}




© 2015 - 2024 Weber Informatics LLC | Privacy Policy