/** * 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.hadoop.vaidya.postexdiagnosis.tests; import org.apache.hadoop.vaidya.statistics.job.JobStatistics; import org.apache.hadoop.vaidya.statistics.job.JobStatisticsInterface.JobKeys; import org.apache.hadoop.vaidya.statistics.job.JobStatisticsInterface.KeyDataType; import org.apache.hadoop.vaidya.statistics.job.JobStatisticsInterface.ReduceTaskKeys; import org.apache.hadoop.vaidya.statistics.job.ReduceTaskStatistics; import org.apache.hadoop.vaidya.DiagnosticTest; import org.w3c.dom.Element; import java.util.Hashtable; import java.util.List; /** * */ public class ReadingHDFSFilesAsSideEffect extends DiagnosticTest { private double _impact; private JobStatistics _job; /** * */ public ReadingHDFSFilesAsSideEffect() { } /* * Evaluate the test */ @Override public double evaluate(JobStatistics job) { /* * Set the this._job */ this._job = job; /* * Read the Normalization Factor */ double normF = getInputElementDoubleValue("NormalizationFactor", 2.0); /* * Calculate and return the impact * * Check if job level aggregate bytes read from HDFS are more than map input bytes * Typically they should be same unless maps and/or reducers are reading some data * from HDFS as a side effect * * If side effect HDFS bytes read are >= twice map input bytes impact is treated as * maximum. */ if(job.getLongValue(JobKeys.MAP_INPUT_BYTES) == 0 && job.getLongValue(JobKeys.HDFS_BYTES_READ) != 0) { return (double)1; } if (job.getLongValue(JobKeys.HDFS_BYTES_READ) == 0) { return (double)0; } this._impact = (job.getLongValue(JobKeys.HDFS_BYTES_READ) / job.getLongValue(JobKeys.MAP_INPUT_BYTES)); if (this._impact >= normF) { this._impact = 1; } else { this._impact = this._impact/normF; } return this._impact; } /* (non-Javadoc) * @see org.apache.hadoop.contrib.utils.perfadvisor.diagnostic_rules.DiagnosticRule#getAdvice() */ @Override public String getPrescription() { return "Map and/or Reduce tasks are reading application specific files from HDFS. Make sure the replication factor\n" + "of these HDFS files is high enough to avoid the data reading bottleneck. Typically replication factor\n" + "can be square root of map/reduce tasks capacity of the allocated cluster."; } /* (non-Javadoc) * @see org.apache.hadoop.contrib.utils.perfadvisor.diagnostic_rules.DiagnosticRule#getReferenceDetails() */ @Override public String getReferenceDetails() { String ref = "* Total HDFS Bytes read: "+this._job.getLongValue(JobKeys.HDFS_BYTES_READ)+"\n"+ "* Total Map Input Bytes read: "+this._job.getLongValue(JobKeys.MAP_INPUT_BYTES)+"\n"+ "* Impact: "+truncate(this._impact); return ref; } }