Package org.apache.flink.streaming.util

Source Code of org.apache.flink.streaming.util.ClusterUtil

/*
* 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.streaming.util;

import java.net.InetSocketAddress;

import org.apache.flink.client.minicluster.NepheleMiniCluster;
import org.apache.flink.client.program.Client;
import org.apache.flink.client.program.ProgramInvocationException;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.runtime.jobgraph.JobGraph;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

public class ClusterUtil {

  private static final Logger LOG = LoggerFactory.getLogger(ClusterUtil.class);
  public static final String CANNOT_EXECUTE_EMPTY_JOB = "Cannot execute empty job";

  /**
   * Executes the given JobGraph locally, on a NepheleMiniCluster
   *
   * @param jobGraph
   *            jobGraph
   * @param degreeOfPrallelism
   *            numberOfTaskTrackers
   * @param memorySize
   *            memorySize
   */
  public static void runOnMiniCluster(JobGraph jobGraph, int degreeOfPrallelism, long memorySize) throws Exception  {

    Configuration configuration = jobGraph.getJobConfiguration();

    NepheleMiniCluster exec = new NepheleMiniCluster();
    exec.setMemorySize(memorySize);
    exec.setNumTaskManager(1);
    exec.setTaskManagerNumSlots(degreeOfPrallelism);
    if (LOG.isInfoEnabled()) {
      LOG.info("Running on mini cluster");
    }

    try {
      exec.start();

      Client client = new Client(new InetSocketAddress("localhost",
          exec.getJobManagerRpcPort()), configuration, ClusterUtil.class.getClassLoader());
      client.run(jobGraph, true);
    } catch (ProgramInvocationException e) {
      if (e.getMessage().contains("GraphConversionException")) {
        throw new Exception(CANNOT_EXECUTE_EMPTY_JOB, e);
      } else {
        throw e;
      }
    } catch (Exception e) {
      throw e;
    } finally {
      try {
        exec.stop();
      } catch (Throwable t) {
      }
    }
  }

  public static void runOnMiniCluster(JobGraph jobGraph, int numberOfTaskTrackers) throws Exception {
    runOnMiniCluster(jobGraph, numberOfTaskTrackers, -1);
  }

}
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