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* Licensed to the Apache Software Foundation (ASF) under one
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* 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
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*/
package org.apache.hudi.async;
import org.apache.hudi.client.AbstractClusteringClient;
import org.apache.hudi.client.AbstractHoodieWriteClient;
import org.apache.hudi.common.table.timeline.HoodieInstant;
import org.apache.hudi.common.util.collection.Pair;
import org.apache.hudi.exception.HoodieIOException;
import org.apache.log4j.LogManager;
import org.apache.log4j.Logger;
import java.io.IOException;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.stream.IntStream;
/**
* Async clustering service that runs in a separate thread.
* Currently, only one clustering thread is allowed to run at any time.
*/
public abstract class AsyncClusteringService extends HoodieAsyncService {
private static final long serialVersionUID = 1L;
private static final Logger LOG = LogManager.getLogger(AsyncClusteringService.class);
private final int maxConcurrentClustering;
private transient AbstractClusteringClient clusteringClient;
public AsyncClusteringService(AbstractHoodieWriteClient writeClient) {
this(writeClient, false);
}
public AsyncClusteringService(AbstractHoodieWriteClient writeClient, boolean runInDaemonMode) {
super(runInDaemonMode);
this.clusteringClient = createClusteringClient(writeClient);
this.maxConcurrentClustering = 1;
}
protected abstract AbstractClusteringClient createClusteringClient(AbstractHoodieWriteClient client);
/**
* Start clustering service.
*/
@Override
protected Pair startService() {
ExecutorService executor = Executors.newFixedThreadPool(maxConcurrentClustering,
r -> {
Thread t = new Thread(r, "async_clustering_thread");
t.setDaemon(isRunInDaemonMode());
return t;
});
return Pair.of(CompletableFuture.allOf(IntStream.range(0, maxConcurrentClustering).mapToObj(i -> CompletableFuture.supplyAsync(() -> {
try {
while (!isShutdownRequested()) {
final HoodieInstant instant = fetchNextAsyncServiceInstant();
if (null != instant) {
LOG.info("Starting clustering for instant " + instant);
clusteringClient.cluster(instant);
LOG.info("Finished clustering for instant " + instant);
}
}
LOG.info("Clustering executor shutting down properly");
} catch (InterruptedException ie) {
LOG.warn("Clustering executor got interrupted exception! Stopping", ie);
} catch (IOException e) {
LOG.error("Clustering executor failed", e);
throw new HoodieIOException(e.getMessage(), e);
}
return true;
}, executor)).toArray(CompletableFuture[]::new)), executor);
}
/**
* Update the write client to be used for clustering.
*/
public synchronized void updateWriteClient(AbstractHoodieWriteClient writeClient) {
this.clusteringClient.updateWriteClient(writeClient);
}
}
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