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71 changes: 69 additions & 2 deletions
71
app/com/linkedin/drelephant/mapreduce/heuristics/CommonConstantsHeuristic.java
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| /* | ||
| * Copyright 2016 LinkedIn Corp. | ||
| * | ||
| * Licensed 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. | ||
| */ | ||
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| package com.linkedin.drelephant.mapreduce.heuristics; | ||
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| public class CommonConstantsHeuristic { | ||
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| public static final String MAPPER_SPEED="Mapper Speed"; | ||
| public static final String TOTAL_INPUT_SIZE_IN_MB="Total input size in MB"; | ||
| public static final String MAPPER_SPEED = "Mapper Speed"; | ||
| public static final String TOTAL_INPUT_SIZE_IN_MB = "Total input size in MB"; | ||
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| public enum UtilizedParameterKeys { | ||
| AVG_PHYSICAL_MEMORY("Avg Physical Memory (MB)"), | ||
| MAX_PHYSICAL_MEMORY("Max Physical Memory (MB)"), | ||
| MIN_PHYSICAL_MEMORY("Min Physical Memory (MB)"), | ||
| AVG_VIRTUAL_MEMORY("Avg Virtual Memory (MB)"), | ||
| MAX_VIRTUAL_MEMORY("Max Virtual Memory (MB)"), | ||
| MIN_VIRTUAL_MEMORY("Min Virtual Memory (MB)"), | ||
| AVG_TOTAL_COMMITTED_HEAP_USAGE_MEMORY("Avg Total Committed Heap Usage Memory (MB)"), | ||
| MAX_TOTAL_COMMITTED_HEAP_USAGE_MEMORY("Max Total Committed Heap Usage Memory (MB)"), | ||
| MIN_TOTAL_COMMITTED_HEAP_USAGE_MEMORY("Min Total Committed Heap Usage Memory (MB)"); | ||
| private String value; | ||
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| UtilizedParameterKeys(String value) { | ||
| this.value = value; | ||
| } | ||
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| public String getValue() { | ||
| return value; | ||
| } | ||
| } | ||
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| public enum ParameterKeys { | ||
| MAPPER_MEMORY_HADOOP_CONF("mapreduce.map.memory.mb"), | ||
| MAPPER_HEAP_HADOOP_CONF("mapreduce.map.java.opts"), | ||
| SORT_BUFFER_HADOOP_CONF("mapreduce.task.io.sort.mb"), | ||
| SORT_FACTOR_HADOOP_CONF("mapreduce.task.io.sort.factor"), | ||
| SORT_SPILL_HADOOP_CONF("mapreduce.map.sort.spill.percent"), | ||
| REDUCER_MEMORY_HADOOP_CONF("mapreduce.reduce.memory.mb"), | ||
| REDUCER_HEAP_HADOOP_CONF("mapreduce.reduce.java.opts"), | ||
| SPLIT_SIZE_HADOOP_CONF("mapreduce.input.fileinputformat.split.maxsize"), | ||
| CHILD_HEAP_SIZE_HADOOP_CONF("mapred.child.java.opts"), | ||
| PIG_SPLIT_SIZE_HADOOP_CONF("pig.maxCombinedSplitSize"), | ||
| MAPPER_MEMORY_HEURISTICS_CONF("Mapper Memory"), | ||
| MAPPER_HEAP_HEURISTICS_CONF("Mapper Heap"), | ||
| REDUCER_MEMORY_HEURISTICS_CONF("Reducer Memory"), | ||
| REDUCER_HEAP_HEURISTICS_CONF("Reducer heap"), | ||
| SORT_BUFFER_HEURISTICS_CONF("Sort Buffer"), | ||
| SORT_FACTOR_HEURISTICS_CONF("Sort Factor"), | ||
| SORT_SPILL_HEURISTICS_CONF("Sort Spill"), | ||
| SPLIT_SIZE_HEURISTICS_CONF("Split Size"), | ||
| PIG_MAX_SPLIT_SIZE_HEURISTICS_CONF("Pig Max Split Size"); | ||
| private String value; | ||
| ParameterKeys(String value) { | ||
| this.value = value; | ||
| } | ||
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| public String getValue() { | ||
| return value; | ||
| } | ||
| } | ||
| } |
86 changes: 86 additions & 0 deletions
86
app/com/linkedin/drelephant/mapreduce/heuristics/ConfigurationHeuristic.java
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,86 @@ | ||
| /* | ||
| * Copyright 2016 LinkedIn Corp. | ||
| * | ||
| * Licensed 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. | ||
| */ | ||
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| package com.linkedin.drelephant.mapreduce.heuristics; | ||
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| import com.linkedin.drelephant.analysis.Heuristic; | ||
| import com.linkedin.drelephant.analysis.HeuristicResult; | ||
| import com.linkedin.drelephant.analysis.Severity; | ||
| import com.linkedin.drelephant.configurations.heuristic.HeuristicConfigurationData; | ||
| import com.linkedin.drelephant.mapreduce.data.MapReduceApplicationData; | ||
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| import static com.linkedin.drelephant.mapreduce.heuristics.CommonConstantsHeuristic.ParameterKeys.*; | ||
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| import org.apache.log4j.Logger; | ||
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| /* | ||
| Heuristics to collect memory data/counter values about application previous exeution. | ||
| */ | ||
| public class ConfigurationHeuristic implements Heuristic<MapReduceApplicationData> { | ||
| private static final Logger logger = Logger.getLogger(ConfigurationHeuristic.class); | ||
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| private HeuristicConfigurationData _heuristicConfData; | ||
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| public ConfigurationHeuristic(HeuristicConfigurationData heuristicConfData) { | ||
| this._heuristicConfData = heuristicConfData; | ||
| } | ||
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| @Override | ||
| public HeuristicConfigurationData getHeuristicConfData() { | ||
| return _heuristicConfData; | ||
| } | ||
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| @Override | ||
| public HeuristicResult apply(MapReduceApplicationData data) { | ||
| if (!data.getSucceeded()) { | ||
| return null; | ||
| } | ||
| String mapperMemory = data.getConf().getProperty(MAPPER_MEMORY_HADOOP_CONF.getValue()); | ||
| String mapperHeap = data.getConf().getProperty(MAPPER_HEAP_HADOOP_CONF.getValue()); | ||
| if (mapperHeap == null) { | ||
| mapperHeap = data.getConf().getProperty(CHILD_HEAP_SIZE_HADOOP_CONF.getValue()); | ||
| } | ||
| String sortBuffer = data.getConf().getProperty(SORT_BUFFER_HADOOP_CONF.getValue()); | ||
| String sortFactor = data.getConf().getProperty(SORT_FACTOR_HADOOP_CONF.getValue()); | ||
| String sortSplill = data.getConf().getProperty(SORT_SPILL_HADOOP_CONF.getValue()); | ||
| String reducerMemory = data.getConf().getProperty(REDUCER_MEMORY_HADOOP_CONF.getValue()); | ||
| String reducerHeap = data.getConf().getProperty(REDUCER_HEAP_HADOOP_CONF.getValue()); | ||
| if (reducerHeap == null) { | ||
| reducerHeap = data.getConf().getProperty(CHILD_HEAP_SIZE_HADOOP_CONF.getValue()); | ||
| } | ||
| String splitSize = data.getConf().getProperty(SPLIT_SIZE_HADOOP_CONF.getValue()); | ||
| String pigSplitSize = data.getConf().getProperty(PIG_SPLIT_SIZE_HADOOP_CONF.getValue()); | ||
| HeuristicResult result = | ||
| new HeuristicResult(_heuristicConfData.getClassName(), _heuristicConfData.getHeuristicName(), Severity.LOW, 0); | ||
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| result.addResultDetail(MAPPER_MEMORY_HEURISTICS_CONF.getValue(), mapperMemory); | ||
| result.addResultDetail(MAPPER_HEAP_HEURISTICS_CONF.getValue(), mapperHeap.replaceAll("\\s+", "\n")); | ||
| result.addResultDetail(REDUCER_MEMORY_HEURISTICS_CONF.getValue(), reducerMemory); | ||
| result.addResultDetail(REDUCER_HEAP_HEURISTICS_CONF.getValue(), reducerHeap.replaceAll("\\s+", "\n")); | ||
| result.addResultDetail(SORT_BUFFER_HEURISTICS_CONF.getValue(), sortBuffer); | ||
| result.addResultDetail(SORT_FACTOR_HEURISTICS_CONF.getValue(), sortFactor); | ||
| result.addResultDetail(SORT_SPILL_HEURISTICS_CONF.getValue(), sortSplill); | ||
| if (splitSize != null) { | ||
| result.addResultDetail(SPLIT_SIZE_HEURISTICS_CONF.getValue(), splitSize); | ||
| } | ||
| if (pigSplitSize != null) { | ||
| result.addResultDetail(PIG_MAX_SPLIT_SIZE_HEURISTICS_CONF.getValue(), pigSplitSize); | ||
| } | ||
|
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| return result; | ||
| } | ||
| } |
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