From a534689f629fdd261b65834dfd086adca2b031aa Mon Sep 17 00:00:00 2001 From: "Manoj Kumar(Bangalore Engineering)" Date: Thu, 10 May 2018 18:32:08 +0530 Subject: [PATCH 1/5] Pig Job Auto Tuning Integration --- .../jobtypes/pig-0.12.0/plugin.properties | 5 +- .../jobtype/lib/commons-httpclient-3.1.jar | Bin 0 -> 305001 bytes plugins/jobtype/lib/gson-2.8.1.jar | Bin 0 -> 232620 bytes plugins/jobtype/lib/httpclient-4.5.3.jar | Bin 0 -> 747794 bytes plugins/jobtype/lib/httpcore-4.4.6.jar | Bin 0 -> 323824 bytes .../src/azkaban/jobtype/HadoopPigJob.java | 27 +- .../HadoopTuningConfigurationInjector.java | 201 +++++++++++++++ .../jobtype/HadoopTuningSecurePigWrapper.java | 236 ++++++++++++++++++ .../jobtype/tuning/TuningCommonConstants.java | 71 ++++++ .../jobtype/tuning/TuningErrorHandler.java | 59 +++++ .../jobtype/tuning/TuningParameterUtils.java | 214 ++++++++++++++++ ...TestHadoopTuningConfigurationInjector.java | 67 +++++ .../jobtype/TestTuningErrorHandler.java | 38 +++ .../jobtype/TestTuningParameterUtils.java | 56 +++++ 14 files changed, 971 insertions(+), 3 deletions(-) create mode 100644 plugins/jobtype/lib/commons-httpclient-3.1.jar create mode 100644 plugins/jobtype/lib/gson-2.8.1.jar create mode 100644 plugins/jobtype/lib/httpclient-4.5.3.jar create mode 100644 plugins/jobtype/lib/httpcore-4.4.6.jar create mode 100644 plugins/jobtype/src/azkaban/jobtype/HadoopTuningConfigurationInjector.java create mode 100644 plugins/jobtype/src/azkaban/jobtype/HadoopTuningSecurePigWrapper.java create mode 100644 plugins/jobtype/src/azkaban/jobtype/tuning/TuningCommonConstants.java create mode 100644 plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorHandler.java create mode 100644 plugins/jobtype/src/azkaban/jobtype/tuning/TuningParameterUtils.java create mode 100644 plugins/jobtype/test/azkaban/jobtype/TestHadoopTuningConfigurationInjector.java create mode 100644 plugins/jobtype/test/azkaban/jobtype/TestTuningErrorHandler.java create mode 100644 plugins/jobtype/test/azkaban/jobtype/TestTuningParameterUtils.java diff --git a/plugins/jobtype/jobtypes/pig-0.12.0/plugin.properties b/plugins/jobtype/jobtypes/pig-0.12.0/plugin.properties index b886d4bf..fb9696e8 100644 --- a/plugins/jobtype/jobtypes/pig-0.12.0/plugin.properties +++ b/plugins/jobtype/jobtypes/pig-0.12.0/plugin.properties @@ -1,4 +1,7 @@ pig.listener.visualizer=false jobtype.classpath=${pig.home}/lib/*,${pig.home}/* -pig.home= \ No newline at end of file +pig.home= +#pig.enable.tuning=false +#tuning.api.end.point=http://hostname:8080/rest/getCurrentRunParameters +#auto.tuning.job.type=PIG diff --git a/plugins/jobtype/lib/commons-httpclient-3.1.jar b/plugins/jobtype/lib/commons-httpclient-3.1.jar new file mode 100644 index 0000000000000000000000000000000000000000..7c59774aed4f5dd08778489aaad565690ff7c132 GIT binary patch literal 305001 zcma%i1yp2Bk}lr3ySux)ySq!{?(Wi1xH}Xy?$EfqySuw z)jcO7D>5VV%ZM-ID$9XGz=Hhkg{O_m^&da}@c{z@0iqzGF2W$AD9Q9O4g#Y54^e0k 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z;fUfq$?72SYku3F>u+ba64gD`@>-v0c4QppN7Z@UsDpP}>t7g}b`aktloF`H^JaU3Fh6V@!XP4xOb}_>E6mm(o1a>0#(sR#{A1%KWc}B0UW8%U zb4)q_U0psKT`A9_3GT<4yf^Jzf9wsr^y97Kk0Dd#V@+yUZ|)@6Yrh9J8!0;rSJoKU zwR@j$GQY0D+df0)2xC^W?ZG!5b22N2p6W0^aS_K9v#0crlF9Qt+>t)?c4Vc1fUpK( P4f getClassPaths() { classPath.add(HadoopConfigurationInjector.getPath(getJobProps(), getWorkingDirectory())); + // assuming pig 0.8 and up if (!userPigJar) { classPath.add(getSourcePathFromClass(PigRunner.class)); @@ -390,4 +412,5 @@ public void cancel() throws InterruptedException { HadoopJobUtils.proxyUserKillAllSpawnedHadoopJobs(logFilePath, jobProps, tokenFile, getLog()); } + } diff --git a/plugins/jobtype/src/azkaban/jobtype/HadoopTuningConfigurationInjector.java b/plugins/jobtype/src/azkaban/jobtype/HadoopTuningConfigurationInjector.java new file mode 100644 index 00000000..367ec09e --- /dev/null +++ b/plugins/jobtype/src/azkaban/jobtype/HadoopTuningConfigurationInjector.java @@ -0,0 +1,201 @@ +/* + * Copyright 2014 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. + */ +package azkaban.jobtype; + +import java.io.File; +import java.io.FileInputStream; +import java.io.FileOutputStream; +import java.io.IOException; +import java.io.InputStream; +import java.io.OutputStream; +import java.util.Map; + +import org.apache.commons.io.IOUtils; +import org.apache.hadoop.conf.Configuration; +import org.apache.log4j.Logger; + +import azkaban.flow.CommonJobProperties; +import azkaban.utils.Props; + + +/** + * HadoopTuningConfigurationInjector is responsible for inserting links back to the + * Azkaban UI in configurations and for automatically injecting designated job + * properties into the Hadoop configuration. + *

+ * It is assumed that the necessary links have already been loaded into the + * properties. After writing the necessary links as a xml file as required by + * Hadoop's configuration, clients may add the links as a default resource + * using injectResources() so that they are included in any Configuration + * constructed. + */ +public class HadoopTuningConfigurationInjector { + private static Logger _logger = Logger.getLogger(HadoopTuningConfigurationInjector.class); + + // File to which the Hadoop configuration to inject will be written. + public static final String INJECT_FILE = "hadoop-inject.xml"; + // File to which the Hadoop configuration to inject will be written. + public static final String INJECT_TUNING_FILE = "hadoop-tuning-inject.xml"; + + // Prefix for properties to be automatically injected into the Hadoop conf. + public static final String INJECT_PREFIX = "hadoop-inject."; + + public static final String WORKFLOW_ID_SEPERATOR = "$"; + private static final String WORKFLOW_ID_CONFIG = "yarn.workflow.id"; + + /* + * To be called by the forked process to load the generated links and Hadoop + * configuration properties to automatically inject. + * + * @param props The Azkaban properties + */ + public static void injectResources(Props props, String workingDir) { + // Add mapred, yarn and hdfs site configs (in addition to core-site, which + // is automatically added) as default resources before we add the injected + // configuration. This will cause the injected properties to override the + // default site properties (instead of vice-versa). This is safe to do, + // even when these site files don't exist for your Hadoop installation. + if (props.getBoolean("azkaban.inject.hadoop-site.configs", true)) { + Configuration.addDefaultResource("mapred-default.xml"); + Configuration.addDefaultResource("mapred-site.xml"); + Configuration.addDefaultResource("yarn-default.xml"); + Configuration.addDefaultResource("yarn-site.xml"); + Configuration.addDefaultResource("hdfs-default.xml"); + Configuration.addDefaultResource("hdfs-site.xml"); + } + Configuration.addDefaultResource(INJECT_FILE); + Configuration.addDefaultResource(INJECT_TUNING_FILE); + } + + /** + * Writes out the XML configuration file that will be injected by the client + * as a configuration resource. + *

+ * This file will include a series of links injected by Azkaban as well as + * any job properties that begin with the designated injection prefix. + * + * @param props The Azkaban properties + * @param workingDir The Azkaban job working directory + */ + public static void prepareResourcesToInject(Props props, String workingDir) { + try { + Configuration conf = new Configuration(false); + + // First, inject a series of Azkaban links. These are equivalent to + // CommonJobProperties.[EXECUTION,WORKFLOW,JOB,JOBEXEC,ATTEMPT]_LINK + addHadoopProperties(props); + + // Next, automatically inject any properties that begin with the + // designated injection prefix. + Map confProperties = props.getMapByPrefix(INJECT_PREFIX); + + for (Map.Entry entry : confProperties.entrySet()) { + String confKey = entry.getKey().replace(INJECT_PREFIX, ""); + String confVal = entry.getValue(); + if (confVal != null) { + conf.set(confKey, confVal); + } + } + + // Now write out the configuration file to inject. + File file = getConfFile(props, workingDir, INJECT_TUNING_FILE); + OutputStream xmlOut = new FileOutputStream(file); + conf.writeXml(xmlOut); + xmlOut.close(); + } catch (Throwable e) { + _logger.error("Encountered error while preparing the Hadoop configuration resource file", e); + } + } + + private static void addHadoopProperty(Props props, String propertyName) { + props.put(INJECT_PREFIX + propertyName, props.get(propertyName)); + } + + private static void addHadoopWorkflowProperty(Props props, String propertyName) { + String workflowID = + props.get(CommonJobProperties.PROJECT_NAME) + WORKFLOW_ID_SEPERATOR + props.get(CommonJobProperties.FLOW_ID); + props.put(INJECT_PREFIX + propertyName, workflowID); + } + + private static void addHadoopProperties(Props props) { + String[] propsToInject = + new String[] { CommonJobProperties.EXEC_ID, CommonJobProperties.FLOW_ID, CommonJobProperties.JOB_ID, CommonJobProperties.PROJECT_NAME, CommonJobProperties.PROJECT_VERSION, CommonJobProperties.EXECUTION_LINK, CommonJobProperties.JOB_LINK, CommonJobProperties.WORKFLOW_LINK, CommonJobProperties.JOBEXEC_LINK, CommonJobProperties.ATTEMPT_LINK, CommonJobProperties.OUT_NODES, CommonJobProperties.IN_NODES, CommonJobProperties.PROJECT_LAST_CHANGED_DATE, CommonJobProperties.PROJECT_LAST_CHANGED_BY, CommonJobProperties.SUBMIT_USER }; + + for (String propertyName : propsToInject) { + addHadoopProperty(props, propertyName); + } + addHadoopWorkflowProperty(props, WORKFLOW_ID_CONFIG); + } + + /** + * Resolve the location of the file containing the configuration file. + * + * @param props The Azkaban properties + * @param workingDir The Azkaban job working directory + * @param fileName The desired configuration file name + */ + public static File getConfFile(Props props, String workingDir, String fileName) { + File jobDir = new File(workingDir, getDirName(props)); + if (!jobDir.exists()) { + jobDir.mkdir(); + } + return new File(jobDir, fileName); + } + + /** + * For classpath reasons, we'll put each link file in a separate directory. + * This must be called only after the job id has been inserted by the job. + * + * @param props The Azkaban properties + */ + public static String getDirName(Props props) { + String dirSuffix = props.get(CommonJobProperties.NESTED_FLOW_PATH); + + if ((dirSuffix == null) || (dirSuffix.length() == 0)) { + dirSuffix = props.get(CommonJobProperties.JOB_ID); + if ((dirSuffix == null) || (dirSuffix.length() == 0)) { + throw new RuntimeException("azkaban.flow.nested.path and azkaban.job.id were not set"); + } + } + + return "_resources_" + dirSuffix.replace(':', '_'); + } + + /** + * Gets the path to the directory in which the generated links and Hadoop + * conf properties files are written. + * + * @param props The Azkaban properties + * @param workingDir The Azkaban job working directory + */ + public static String getPath(Props props, String workingDir) { + return new File(workingDir, getDirName(props)).toString(); + } + + /** + * Loads an Azkaban property into the Hadoop configuration. + * + * @param props The Azkaban properties + * @param conf The Hadoop configuration + * @param name The property name to load from the Azkaban properties into the Hadoop configuration + */ + public static void loadProp(Props props, Configuration conf, String name) { + String prop = props.get(name); + if (prop != null) { + conf.set(name, prop); + } + } +} diff --git a/plugins/jobtype/src/azkaban/jobtype/HadoopTuningSecurePigWrapper.java b/plugins/jobtype/src/azkaban/jobtype/HadoopTuningSecurePigWrapper.java new file mode 100644 index 00000000..53b12e8f --- /dev/null +++ b/plugins/jobtype/src/azkaban/jobtype/HadoopTuningSecurePigWrapper.java @@ -0,0 +1,236 @@ +/* + * Copyright 2012 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. + */ + +package azkaban.jobtype; + +import static org.apache.hadoop.security.UserGroupInformation.HADOOP_TOKEN_FILE_LOCATION; + +import java.io.BufferedReader; +import java.io.File; +import java.io.FileNotFoundException; +import java.io.FileReader; +import java.security.PrivilegedExceptionAction; +import java.util.Iterator; +import java.util.Properties; +import java.util.Set; + +import org.apache.hadoop.mapred.Counters; +import org.apache.hadoop.security.UserGroupInformation; +import org.apache.log4j.Logger; +import org.apache.pig.PigRunner; +import org.apache.pig.tools.pigstats.JobStats; +import org.apache.pig.tools.pigstats.PigStats; +import org.apache.pig.tools.pigstats.PigStats.JobGraph; + +import azkaban.jobtype.tuning.TuningCommonConstants; +import azkaban.jobtype.tuning.TuningParameterUtils; +import azkaban.jobtype.tuning.TuningErrorHandler; +import azkaban.utils.Props; + +/** + * This class represent wrapper for running pig job with tuning enabled. + */ +public class HadoopTuningSecurePigWrapper { + + private static final String PIG_DUMP_HADOOP_COUNTER_PROPERTY = "pig.dump.hadoopCounter"; + public static final String WORKING_DIR = "working.dir"; + + private static File pigLogFile; + + private static Props props; + + private static final Logger logger; + + /** + * In case if job is failed because of auto tuning parameters, it will be retried with the best parameters + * we have seen so far. Maximum number of try is 2. + */ + private static int maxRetry = 2; + private static int tryCount = 1; + /** + * Is job failed because of tuning parameters + */ + private static boolean isTuningError = false; + static { + logger = Logger.getRootLogger(); + } + + /** + * This function runs the pig job with tuning enabled. In case tuning job fails in first try, it asks for + * last best parameter from tuning and re-run the job. In case tuning end point is not responding this job + * will run with default parameters. + * @param args + * @throws Throwable + */ + public static void main(final String[] args) throws Exception { + Properties jobProps = HadoopSecureWrapperUtils.loadAzkabanProps(); + Props initialJobprops = new Props(null, jobProps); + boolean retry = false; + boolean firstTry = true; + + while (tryCount <= maxRetry && (retry || firstTry)) { + tryCount++; + firstTry = false; + props = Props.clone(initialJobprops); + props.put(TuningCommonConstants.AUTO_TUNING_RETRY, retry + ""); + + TuningParameterUtils.updateAutoTuningParameters(props); + + HadoopTuningConfigurationInjector.prepareResourcesToInject(props, + HadoopTuningSecurePigWrapper.getWorkingDirectory(props)); + + HadoopTuningConfigurationInjector.injectResources(props, HadoopTuningSecurePigWrapper.getWorkingDirectory(props)); + + // special feature of secure pig wrapper: we will append the pig error file + // onto system out + pigLogFile = new File(System.getenv("PIG_LOG_FILE")); + + try { + if (HadoopSecureWrapperUtils.shouldProxy(jobProps)) { + String tokenFile = System.getenv(HADOOP_TOKEN_FILE_LOCATION); + UserGroupInformation proxyUser = HadoopSecureWrapperUtils.setupProxyUser(jobProps, tokenFile, logger); + proxyUser.doAs(new PrivilegedExceptionAction() { + @Override + public Void run() throws Exception { + runPigJob(args); + return null; + } + }); + } else { + runPigJob(args); + } + } catch (Exception t) { + retry = false; + System.out.println("Error " + isTuningError + " tryCount:" + tryCount + ", maxRetry:" + maxRetry); + if (isTuningError && tryCount<=maxRetry) { + System.out.println("Error due to auto tuning parameters "); + retry = true; + }else + { + throw t; + } + } + } + } + + @SuppressWarnings("deprecation") + public static void runPigJob(String[] args) throws Exception { + PigStats stats = null; + if (props.getBoolean("pig.listener.visualizer", false) == true) { + stats = PigRunner.run(args, new AzkabanPigListener(props)); + } else { + stats = PigRunner.run(args, null); + } + + dumpHadoopCounters(stats); + + if (stats.isSuccessful()) { + return; + } + + if (pigLogFile != null) { + handleError(pigLogFile); + } + + if (isTuningError && tryCount<=maxRetry) { + throw new RuntimeException("Pig job failed."); + } + // see jira ticket PIG-3313. Will remove these when we use pig binary with + // that patch. + // ///////////////////// + System.out.println("Trying to do self kill, in case pig could not."); + Set threadSet = Thread.getAllStackTraces().keySet(); + Thread[] threadArray = threadSet.toArray(new Thread[threadSet.size()]); + for (Thread t : threadArray) { + if (!t.isDaemon() && !t.equals(Thread.currentThread())) { + System.out.println("Killing thread " + t); + t.stop(); + } + } + System.exit(1); + // //////////////////// + throw new RuntimeException("Pig job failed."); + } + + /** + * Dump Hadoop counters for each of the M/R jobs in the given PigStats. + * + * @param pigStats + */ + private static void dumpHadoopCounters(PigStats pigStats) { + try { + if (props.getBoolean(PIG_DUMP_HADOOP_COUNTER_PROPERTY, false)) { + if (pigStats != null) { + JobGraph jGraph = pigStats.getJobGraph(); + Iterator iter = jGraph.iterator(); + while (iter.hasNext()) { + JobStats jobStats = iter.next(); + System.out.println("\n === Counters for job: " + jobStats.getJobId() + " ==="); + Counters counters = jobStats.getHadoopCounters(); + if (counters != null) { + for (Counters.Group group : counters) { + System.out.println(" Counter Group: " + group.getDisplayName() + " (" + group.getName() + ")"); + System.out.println(" number of counters in this group: " + group.size()); + for (Counters.Counter counter : group) { + System.out.println(" - " + counter.getDisplayName() + ": " + counter.getCounter()); + } + } + } else { + System.out.println("There are no counters"); + } + } + } else { + System.out.println("pigStats is null, can't dump Hadoop counters"); + } + } + } catch (Exception e) { + System.out.println("Unexpected error: " + e.getMessage()); + e.printStackTrace(System.out); + } + } + + private static void handleError(File pigLog) throws Exception { + System.out.println(); + System.out.println("Pig logfile dump:"); + System.out.println(); + try { + BufferedReader reader = new BufferedReader(new FileReader(pigLog)); + String line = reader.readLine(); + isTuningError = false; + TuningErrorHandler tuningErrorHandle = new TuningErrorHandler(); + while (line != null) { + System.err.println(line); + line = reader.readLine(); + //Checks if log have any predefined error pattern which can be caused by auto tuning parameters + if (tuningErrorHandle.containsAutoTuningError(line)) { + isTuningError = true; + } + } + reader.close(); + } catch (FileNotFoundException e) { + System.err.println("pig log file: " + pigLog + " not found."); + } + } + + public static String getWorkingDirectory(Props props) { + final String workingDir = props.getString(WORKING_DIR); + if (workingDir == null) { + return ""; + } + + return workingDir; + } +} diff --git a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningCommonConstants.java b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningCommonConstants.java new file mode 100644 index 00000000..fb3121a2 --- /dev/null +++ b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningCommonConstants.java @@ -0,0 +1,71 @@ +/* + * Copyright 2012 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. + */ + +package azkaban.jobtype.tuning; + +/** + * Tuning related constants. + */ +public class TuningCommonConstants { + + private TuningCommonConstants() { + + } + public static final String AZKABAN_EXEC_ID = "azkaban.flow.execid"; + public static final String AZKABAN_JOB_ID = "azkaban.job.id"; + public static final String AZKABAN_FLOW_ID = "azkaban.flow.flowid"; + public static final String AZKABAN_ATTEMPT_URL = "azkaban.link.attempt.url"; + public static final String AZKABAN_EXECUTION_URL = "azkaban.link.execution.url"; + public static final String AZKABAN_JOB_URL = "azkaban.link.job.url"; + public static final String AZKABAN_WORKFLOW_URL = "azkaban.link.workflow.url"; + public static final String AZKABAN_JOB_EXECUTION_URL = "azkaban.link.jobexec.url"; + public static final String AZKABAN_HOST_NAME = "azkaban.url"; + public static final String AZKABAN_PROJECT_NAME = "azkaban.flow.projectname"; + public static final String AUTO_TUNING_JOB_TYPE = "auto.tuning.job.type"; + public static final String OPTIMIZATION_METRIC = "optimization.metric"; + + public static final String TUNING_API_END_POINT = "tuning.api.end.point"; + + public static final String ALLOWED_MAX_RESOURCE_USAGE_PERCENT = "allowed_max_resource_usage_percent"; + public static final String ALLOWED_MAX_EXECUTION_TIME_PERCENT = "allowed_max_execution_time_percent"; + + public static final String ENABLE_TUNING = "enable_tuning"; + public static final String AUTO_TUNING_RETRY = "auto_tuning_retry"; + + public static final String PROJECT_NAME_API_PARAM = "projectName"; + public static final String FLOW_DEFINITION_ID_API_PARAM = "flowDefId"; + public static final String JOB_DEFINITION_ID_API_PARAM = "jobDefId"; + public static final String FLOW_EXECUTION_ID_API_PARAM = "flowExecId"; + public static final String JOB_EXECUTION_ID_API_PARAM = "jobExecId"; + public static final String FLOW_DEFINITION_URL_API_PARAM = "flowDefUrl"; + public static final String JOB_DEFINITION_URL_API_PARAM = "jobDefUrl"; + public static final String FLOW_EXECUTION_URL_API_PARAM = "flowExecUrl"; + public static final String JOB_EXECUTION_URL_API_PARAM = "jobExecUrl"; + public static final String JOB_NAME_API_PARAM = "jobName"; + public static final String DEFAULT_PARAM_API_PARAM = "defaultParams"; + public static final String SCHEDULER_API_PARAM = "scheduler"; + public static final String CLIENT_API_PARAM = "client"; + public static final String AUTO_TUNING_JOB_TYPE_API_PARAM = "autoTuningJobType"; + public static final String OPTIMIZATION_METRIC_API_PARAM = "optimizationMetric"; + public static final String USER_NAME_API_PARAM = "userName"; + public static final String IS_RETRY_API_PARAM = "isRetry"; + public static final String SKIP_EXECUTION_FOR_OPTIMIZATION_API_PARAM = "skipExecutionForOptimization"; + public static final String ALLOWED_MAX_EXECUTION_TIME_PERCENT_API_PARAM = "allowedMaxExecutionTimePercent"; + public static final String ALLOWED_MAX_RESOURCE_USAGE_PERCENT_PERCENT_API_PARAM = "allowedMaxResourceUsagePercent"; + public static final String VERSION_API_PARAM = "version"; + + +} diff --git a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorHandler.java b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorHandler.java new file mode 100644 index 00000000..1f924bd0 --- /dev/null +++ b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorHandler.java @@ -0,0 +1,59 @@ +/* + * Copyright 2012 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. + */ + +package azkaban.jobtype.tuning; + +import java.util.ArrayList; +import java.util.List; +import java.util.regex.Matcher; +import java.util.regex.Pattern; + +import org.apache.log4j.Logger; + +/** + * This class is responsible for finding whether failure is because of tuning parameters. + * This try to search predefined patterns in the log. + */ +public class TuningErrorHandler { + private Logger log = Logger.getRootLogger(); + + List errorPatterns = new ArrayList(3); + + public TuningErrorHandler() { + Pattern pattern1 = Pattern.compile(".*Error: Java heap space.*"); + Pattern pattern2 = Pattern.compile(".*java.lang.OutOfMemoryError.*"); + Pattern pattern3 = Pattern.compile(".*Container .* is running beyond virtual memory limits.*"); + Pattern pattern4 = Pattern.compile(".*Initialization of all the collectors failed.*"); + errorPatterns.add(pattern1); + errorPatterns.add(pattern2); + errorPatterns.add(pattern3); + errorPatterns.add(pattern4); + } + + public boolean containsAutoTuningError(String logMessage) { + if(logMessage!=null) + { + for (Pattern pattern : errorPatterns) { + Matcher matcher = pattern.matcher(logMessage); + if (matcher.matches()) { + log.error("Categorizing this error as autotuning error because of this message: " + logMessage); + return true; + } + } + } + return false; + } +} diff --git a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningParameterUtils.java b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningParameterUtils.java new file mode 100644 index 00000000..c4718af4 --- /dev/null +++ b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningParameterUtils.java @@ -0,0 +1,214 @@ +/* + * Copyright 2012 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. + */ + +package azkaban.jobtype.tuning; + +import java.io.IOException; +import java.util.HashMap; +import java.util.Map; + +import org.apache.commons.httpclient.HttpStatus; +import org.apache.http.HttpEntity; +import org.apache.http.HttpResponse; +import org.apache.http.client.config.RequestConfig; +import org.apache.http.client.methods.HttpPost; +import org.apache.http.entity.StringEntity; +import org.apache.http.impl.client.CloseableHttpClient; +import org.apache.http.impl.client.HttpClients; +import org.apache.http.util.EntityUtils; +import org.apache.log4j.Logger; + +import azkaban.jobtype.HadoopConfigurationInjector; +import azkaban.utils.Props; + +import com.google.gson.Gson; + +/** + * TuningParameterUtils is a utility class responsible for updating tuned hadoop parameters for the job + * by calling tuning api. Before calling tuning api, it gets default parameters for the job and passes default + * parameters to api. By default it tries 3 times in case api is down before running the job with default parameters. + + */ +public class TuningParameterUtils { + + private static Logger log = Logger.getRootLogger(); + private static final int DEFAULT_TUNING_API_RETRY_COUNT = 3; + private static final int DEFAULT_TUNING_API_TIMEOUT_MS = 10000; + + private static final String USER_TO_PROXY = "user.to.proxy"; + private static final String TUNING_API_RETRY_COUNT = "tuning.api.retry,count"; + private static final String TUNING_API_TIMEOUT = "tuning.api.timeout"; + private static final String AZKABAN = "azkaban"; + private static final String TUNING_API_VERSION = "2"; + private TuningParameterUtils() { + + } + + /** + * Get hadoop properties from the job + * @param props + * @return Map of parameter name and value + */ + public static Map getHadoopProperties(Props props) { + Map confProperties = props.getMapByPrefix(HadoopConfigurationInjector.INJECT_PREFIX); + if (log.isDebugEnabled()) { + for (Map.Entry entry : confProperties.entrySet()) { + log.debug("Adding default parameter " + entry.getKey() + ", value " + entry.getValue()); + } + } + return confProperties; + } + + /** + * This method calls Auto Tuning Framework Rest API and adds new parameters in props. + * This method will retry 3 times in case there is timeout while calling rest API. + * @param props + */ + public static void updateAutoTuningParameters(Props props) { + int count = 0; + boolean noException = false; + Map params = null; + if(props.containsKey(TuningCommonConstants.TUNING_API_END_POINT)==false) + { + log.error("Tuning API End Point not found in properties. Not applying auto tuning. "); + return; + } + int retryCount = DEFAULT_TUNING_API_RETRY_COUNT; + if (props.containsKey(TUNING_API_RETRY_COUNT)) { + retryCount = props.getInt(TUNING_API_RETRY_COUNT); + } + + while (!noException && count < retryCount) { + try { + count++; + log.info("Calling get current run parameters. Try count " + count); + params = getCurrentRunParameters(props); + log.info("Parameters are " + params.toString()); + noException = true; + } catch (IOException e) { + log.error("Error in getting current run parameter ", e); + } catch (Exception e) { + log.error("Error in getting current run parameter ", e); + } + } + //In case parameters are null, do nothing and job will run with default parameters of the job + if (params != null) { + for (Map.Entry param : params.entrySet()) { + props.put(HadoopConfigurationInjector.INJECT_PREFIX + param.getKey(), param.getValue()); + log.info("Applied parameter " + param.getKey() + " with value " + param.getValue()); + } + props.put(HadoopConfigurationInjector.INJECT_PREFIX + "auto.tuning.enabled", "true"); + } + } + + /** + *This method is for getting current run parameters from Dr Elephant + * @param props + * @return Map of parameter name and value + * @throws IOException + * @throws ParseException + */ + @SuppressWarnings({ "unchecked" }) + public static Map getCurrentRunParameters(Props props) throws IOException { + + log.debug("Properties are " + props.toString()); + + CloseableHttpClient httpClient = HttpClients.createDefault(); + + HttpResponse response = null; + String requestString = String.format("%s", props.get(TuningCommonConstants.TUNING_API_END_POINT)); + + log.info("Dr elephant request : " + requestString); + + int tuningAPITimeoutMS = DEFAULT_TUNING_API_TIMEOUT_MS; + if (props.containsKey(TUNING_API_TIMEOUT)) { + tuningAPITimeoutMS = props.getInt(TUNING_API_TIMEOUT); + } + HttpPost request = new HttpPost(requestString); + final RequestConfig config = + RequestConfig.custom().setConnectTimeout(tuningAPITimeoutMS).setSocketTimeout(tuningAPITimeoutMS).build(); + request.setConfig(config); + + Map params = new HashMap(); + + params.put(TuningCommonConstants.PROJECT_NAME_API_PARAM, props.get(TuningCommonConstants.AZKABAN_PROJECT_NAME)); + params.put(TuningCommonConstants.FLOW_DEFINITION_ID_API_PARAM, props.get(TuningCommonConstants.AZKABAN_WORKFLOW_URL)); + params.put(TuningCommonConstants.JOB_DEFINITION_ID_API_PARAM, props.get(TuningCommonConstants.AZKABAN_JOB_URL)); + params.put(TuningCommonConstants.FLOW_EXECUTION_ID_API_PARAM, props.get(TuningCommonConstants.AZKABAN_EXECUTION_URL)); + params.put(TuningCommonConstants.JOB_EXECUTION_ID_API_PARAM, props.get(TuningCommonConstants.AZKABAN_ATTEMPT_URL)); + params.put(TuningCommonConstants.FLOW_DEFINITION_URL_API_PARAM, props.get(TuningCommonConstants.AZKABAN_WORKFLOW_URL)); + params.put(TuningCommonConstants.JOB_DEFINITION_URL_API_PARAM, props.get(TuningCommonConstants.AZKABAN_JOB_URL)); + params.put(TuningCommonConstants.FLOW_EXECUTION_URL_API_PARAM, props.get(TuningCommonConstants.AZKABAN_EXECUTION_URL)); + params.put(TuningCommonConstants.JOB_EXECUTION_URL_API_PARAM, props.get(TuningCommonConstants.AZKABAN_ATTEMPT_URL)); + params.put(TuningCommonConstants.JOB_NAME_API_PARAM, props.get(TuningCommonConstants.AZKABAN_JOB_ID)); + params.put(TuningCommonConstants.DEFAULT_PARAM_API_PARAM, getDefaultJobParameterJSON(props)); + params.put(TuningCommonConstants.SCHEDULER_API_PARAM, AZKABAN); + params.put(TuningCommonConstants.CLIENT_API_PARAM, AZKABAN); + params.put(TuningCommonConstants.AUTO_TUNING_JOB_TYPE_API_PARAM, props.get(TuningCommonConstants.AUTO_TUNING_JOB_TYPE)); + params.put(TuningCommonConstants.OPTIMIZATION_METRIC_API_PARAM, props.get(TuningCommonConstants.OPTIMIZATION_METRIC)); + params.put(TuningCommonConstants.USER_NAME_API_PARAM, props.get(USER_TO_PROXY)); + if (props.containsKey(TuningCommonConstants.AUTO_TUNING_RETRY)) { + params.put(TuningCommonConstants.IS_RETRY_API_PARAM, props.get(TuningCommonConstants.AUTO_TUNING_RETRY)); + } else { + params.put(TuningCommonConstants.IS_RETRY_API_PARAM, "false"); + } + params.put(TuningCommonConstants.SKIP_EXECUTION_FOR_OPTIMIZATION_API_PARAM, "false"); + if (props.containsKey(TuningCommonConstants.ALLOWED_MAX_EXECUTION_TIME_PERCENT)) { + params.put(TuningCommonConstants.ALLOWED_MAX_EXECUTION_TIME_PERCENT_API_PARAM, + props.getString(TuningCommonConstants.ALLOWED_MAX_EXECUTION_TIME_PERCENT)); + } + if (props.containsKey(TuningCommonConstants.ALLOWED_MAX_RESOURCE_USAGE_PERCENT)) { + params.put(TuningCommonConstants.ALLOWED_MAX_RESOURCE_USAGE_PERCENT_PERCENT_API_PARAM, + props.getString(TuningCommonConstants.ALLOWED_MAX_RESOURCE_USAGE_PERCENT)); + } + params.put(TuningCommonConstants.VERSION_API_PARAM, TUNING_API_VERSION); + + Gson gson = new Gson(); + StringEntity stringEntity = new StringEntity(gson.toJson(params)); + request.setEntity(stringEntity); + + request.addHeader("content-type", "application/json"); + + response = httpClient.execute(request); + + Map outputParams = null; + // check for the response code + if (response != null) { + if (response.getStatusLine().getStatusCode() != HttpStatus.SC_OK) { + log.error("Error in response. Response is " + response); + } else { + log.info("Response is " + response); + HttpEntity responseEntity = response.getEntity(); + String responseJson = EntityUtils.toString(responseEntity); + outputParams = (Map) gson.fromJson(responseJson, Map.class); + } + } + httpClient.close(); + return outputParams; + } + + /** + * Get json for default job parameters values + * @param props + * @return JSON string of default hadoop parameter map + */ + public static String getDefaultJobParameterJSON(Props props) { + Map paramValueMap = getHadoopProperties(props); + Gson gson = new Gson(); + String jobParamsJson = gson.toJson(paramValueMap); + return jobParamsJson; + } +} diff --git a/plugins/jobtype/test/azkaban/jobtype/TestHadoopTuningConfigurationInjector.java b/plugins/jobtype/test/azkaban/jobtype/TestHadoopTuningConfigurationInjector.java new file mode 100644 index 00000000..b2672020 --- /dev/null +++ b/plugins/jobtype/test/azkaban/jobtype/TestHadoopTuningConfigurationInjector.java @@ -0,0 +1,67 @@ +package azkaban.jobtype; + +import java.io.File; +import java.io.IOException; + +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.fs.Path; +import org.junit.Assert; +import org.junit.Test; + +import azkaban.flow.CommonJobProperties; +import azkaban.utils.Props; + +import com.google.common.io.Files; + + +public class TestHadoopTuningConfigurationInjector { + + @Test + public void testTuningErrorHandler() throws IOException { + + File root = Files.createTempDir(); + + Props props = new Props(); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.task.io.sort.mb", "100"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.task.io.sort.factor", "100"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.reduce.memory.mb", "2048"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.map.memory.mb", "2048"); + + props.put(CommonJobProperties.EXEC_ID, CommonJobProperties.EXEC_ID); + props.put(CommonJobProperties.FLOW_ID, CommonJobProperties.FLOW_ID); + props.put(CommonJobProperties.JOB_ID, CommonJobProperties.JOB_ID); + props.put(CommonJobProperties.PROJECT_NAME, CommonJobProperties.PROJECT_NAME); + props.put(CommonJobProperties.PROJECT_VERSION, CommonJobProperties.PROJECT_VERSION); + props.put(CommonJobProperties.EXECUTION_LINK, CommonJobProperties.EXECUTION_LINK); + props.put(CommonJobProperties.JOB_LINK, CommonJobProperties.JOB_LINK); + props.put(CommonJobProperties.WORKFLOW_LINK, CommonJobProperties.WORKFLOW_LINK); + props.put(CommonJobProperties.JOBEXEC_LINK, CommonJobProperties.JOBEXEC_LINK); + props.put(CommonJobProperties.ATTEMPT_LINK, CommonJobProperties.ATTEMPT_LINK); + props.put(CommonJobProperties.OUT_NODES, CommonJobProperties.OUT_NODES); + props.put(CommonJobProperties.IN_NODES, CommonJobProperties.IN_NODES); + props.put(CommonJobProperties.PROJECT_LAST_CHANGED_DATE, CommonJobProperties.PROJECT_LAST_CHANGED_DATE); + props.put(CommonJobProperties.PROJECT_LAST_CHANGED_BY, CommonJobProperties.PROJECT_LAST_CHANGED_BY); + props.put(CommonJobProperties.SUBMIT_USER, CommonJobProperties.SUBMIT_USER); + + HadoopTuningConfigurationInjector.prepareResourcesToInject(props, root.getAbsolutePath()); + HadoopTuningConfigurationInjector.injectResources(props, root.getAbsolutePath()); + + Configuration configuration = new Configuration(true); + configuration.addResource(new Path(HadoopTuningConfigurationInjector.getPath(props, root.getAbsolutePath()) + "/" + + HadoopTuningConfigurationInjector.INJECT_TUNING_FILE)); + Assert.assertEquals("Value not matching in config ", configuration.get(CommonJobProperties.EXEC_ID), + CommonJobProperties.EXEC_ID); + Assert.assertEquals("Value not matching in config ", configuration.get(CommonJobProperties.FLOW_ID), + CommonJobProperties.FLOW_ID); + Assert.assertEquals("Value not matching in config ", configuration.get(CommonJobProperties.JOB_ID), + CommonJobProperties.JOB_ID); + Assert.assertEquals("Value not matching in config ", configuration.get(CommonJobProperties.PROJECT_NAME), + CommonJobProperties.PROJECT_NAME); + Assert.assertEquals("Value not matching in config ", configuration.get(CommonJobProperties.PROJECT_VERSION), + CommonJobProperties.PROJECT_VERSION); + Assert.assertEquals("Value not matching in config ", + configuration.get(CommonJobProperties.PROJECT_LAST_CHANGED_BY), CommonJobProperties.PROJECT_LAST_CHANGED_BY); + + } + +} diff --git a/plugins/jobtype/test/azkaban/jobtype/TestTuningErrorHandler.java b/plugins/jobtype/test/azkaban/jobtype/TestTuningErrorHandler.java new file mode 100644 index 00000000..b94e41b5 --- /dev/null +++ b/plugins/jobtype/test/azkaban/jobtype/TestTuningErrorHandler.java @@ -0,0 +1,38 @@ +package azkaban.jobtype; + +import java.io.IOException; + +import org.junit.Assert; +import org.junit.Test; + +import azkaban.jobtype.tuning.TuningErrorHandler; + + +public class TestTuningErrorHandler { + + @Test + public void testTuningErrorHandler() throws IOException { + TuningErrorHandler tuningErrorHandler = new TuningErrorHandler(); + String message = "Error: Java heap space. Got following exception "; + Assert.assertTrue("TuningErrorHandler not identifying error pattern ", + tuningErrorHandler.containsAutoTuningError(message)); + + message = "Error: java.lang.OutOfMemoryError: unable to create new native thread by server "; + Assert.assertTrue("TuningErrorHandler not identifying error pattern ", + tuningErrorHandler.containsAutoTuningError(message)); + + message = "Initialization of all the collectors failed on cluster"; + Assert.assertTrue("TuningErrorHandler not identifying error pattern ", + tuningErrorHandler.containsAutoTuningError(message)); + + message = "Container 10002 is running beyond virtual memory limits"; + Assert.assertTrue("TuningErrorHandler not identifying error pattern ", + tuningErrorHandler.containsAutoTuningError(message)); + + message = "Failed to find class"; + Assert.assertFalse("TuningErrorHandler not identifying error pattern ", + tuningErrorHandler.containsAutoTuningError(message)); + + } + +} diff --git a/plugins/jobtype/test/azkaban/jobtype/TestTuningParameterUtils.java b/plugins/jobtype/test/azkaban/jobtype/TestTuningParameterUtils.java new file mode 100644 index 00000000..a1b71112 --- /dev/null +++ b/plugins/jobtype/test/azkaban/jobtype/TestTuningParameterUtils.java @@ -0,0 +1,56 @@ +package azkaban.jobtype; + +import java.io.IOException; +import java.util.Map; + +import org.junit.Assert; +import org.junit.Test; + +import azkaban.jobtype.tuning.TuningParameterUtils; +import azkaban.utils.Props; + + +public class TestTuningParameterUtils { + + @Test + public void testGetHadoopProperties() throws IOException { + Props props = new Props(); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.task.io.sort.mb", "100"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.task.io.sort.factor", "100"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.reduce.memory.mb", "2048"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.map.memory.mb", "2048"); + Map confProperties = TuningParameterUtils.getHadoopProperties(props); + Assert.assertTrue("Failed to get hadoop properties mapreduce.task.io.sort.mb ", + confProperties.containsKey("mapreduce.task.io.sort.mb")); + Assert.assertTrue("Failed to get right value for hadoop properties mapreduce.task.io.sort.mb ", + confProperties.get("mapreduce.task.io.sort.mb").equals("100")); + + Assert.assertTrue("Failed to get hadoop properties mapreduce.task.io.sort.factor ", + confProperties.containsKey("mapreduce.task.io.sort.factor")); + Assert.assertTrue("Failed to get right value for hadoop properties mapreduce.task.io.sort.factor ", confProperties + .get("mapreduce.task.io.sort.factor").equals("100")); + + Assert.assertTrue("Failed to get hadoop properties mapreduce.reduce.memory.mb ", + confProperties.containsKey("mapreduce.reduce.memory.mb")); + Assert.assertTrue("Failed to get right value for hadoop properties mapreduce.reduce.memory.mb ", confProperties + .get("mapreduce.reduce.memory.mb").equals("2048")); + + Assert.assertTrue("Failed to get hadoop properties mapreduce.map.memory.mb ", + confProperties.containsKey("mapreduce.map.memory.mb")); + Assert.assertTrue("Failed to get right value for hadoop properties mapreduce.map.memory.mb ", + confProperties.get("mapreduce.map.memory.mb").equals("2048")); + } + + @Test + public void testGetDefaultJobParameterJSON() throws IOException { + Props props = new Props(); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.task.io.sort.mb", "100"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.task.io.sort.factor", "100"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.reduce.memory.mb", "2048"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.map.memory.mb", "2048"); + String defaultParamJSON = TuningParameterUtils.getDefaultJobParameterJSON(props); + String expectedJSON = + "{\"mapreduce.task.io.sort.mb\":\"100\",\"mapreduce.map.memory.mb\":\"2048\",\"mapreduce.reduce.memory.mb\":\"2048\",\"mapreduce.task.io.sort.factor\":\"100\"}"; + Assert.assertEquals("Wrong JSON return for default job parameter ", defaultParamJSON, expectedJSON); + } +} From f2fdb88f427472629dd295dca67f809181c996fb Mon Sep 17 00:00:00 2001 From: "Manoj Kumar(Bangalore Engineering)" Date: Sun, 20 May 2018 01:50:51 +0530 Subject: [PATCH 2/5] Addressing Review comment - 1 --- .../jobtypes/pig-0.12.0/plugin.properties | 4 +- .../jobtype/HadoopConfigurationInjector.java | 30 +++- .../src/azkaban/jobtype/HadoopPigJob.java | 22 +-- .../jobtype/HadoopSecurePigWrapper.java | 83 +--------- .../HadoopTuningConfigurationInjector.java | 145 +----------------- .../jobtype/HadoopTuningSecurePigWrapper.java | 99 +++--------- .../src/azkaban/jobtype/pig/PigUtil.java | 100 ++++++++++++ .../jobtype/tuning/TuningCommonConstants.java | 17 +- .../jobtype/tuning/TuningErrorHandler.java | 10 +- .../jobtype/tuning/TuningParameterUtils.java | 80 ++++++---- ...TestHadoopTuningConfigurationInjector.java | 99 +++++++----- .../jobtype/TestTuningErrorHandler.java | 16 ++ .../jobtype/TestTuningParameterUtils.java | 35 ++++- 13 files changed, 326 insertions(+), 414 deletions(-) create mode 100644 plugins/jobtype/src/azkaban/jobtype/pig/PigUtil.java diff --git a/plugins/jobtype/jobtypes/pig-0.12.0/plugin.properties b/plugins/jobtype/jobtypes/pig-0.12.0/plugin.properties index fb9696e8..c86c6b5b 100644 --- a/plugins/jobtype/jobtypes/pig-0.12.0/plugin.properties +++ b/plugins/jobtype/jobtypes/pig-0.12.0/plugin.properties @@ -2,6 +2,6 @@ pig.listener.visualizer=false jobtype.classpath=${pig.home}/lib/*,${pig.home}/* pig.home= -#pig.enable.tuning=false +pig.enable.tuning=false #tuning.api.end.point=http://hostname:8080/rest/getCurrentRunParameters -#auto.tuning.job.type=PIG +auto.tuning.job.type=PIG diff --git a/plugins/jobtype/src/azkaban/jobtype/HadoopConfigurationInjector.java b/plugins/jobtype/src/azkaban/jobtype/HadoopConfigurationInjector.java index 701e61b6..8b18d81a 100644 --- a/plugins/jobtype/src/azkaban/jobtype/HadoopConfigurationInjector.java +++ b/plugins/jobtype/src/azkaban/jobtype/HadoopConfigurationInjector.java @@ -50,6 +50,7 @@ public class HadoopConfigurationInjector { public static final String WORKFLOW_ID_SEPERATOR = "$"; private static final String WORKFLOW_ID_CONFIG = "yarn.workflow.id"; + /* * To be called by the forked process to load the generated links and Hadoop * configuration properties to automatically inject. @@ -82,8 +83,9 @@ public static void injectResources(Props props) { * * @param props The Azkaban properties * @param workingDir The Azkaban job working directory + * @param fileName File name to write the XML configuration */ - public static void prepareResourcesToInject(Props props, String workingDir) { + public static void prepareResourcesToInject(Props props, String workingDir, String fileName) { try { Configuration conf = new Configuration(false); @@ -104,7 +106,7 @@ public static void prepareResourcesToInject(Props props, String workingDir) { } // Now write out the configuration file to inject. - File file = getConfFile(props, workingDir, INJECT_FILE); + File file = getConfFile(props, workingDir, fileName); OutputStream xmlOut = new FileOutputStream(file); conf.writeXml(xmlOut); xmlOut.close(); @@ -113,17 +115,31 @@ public static void prepareResourcesToInject(Props props, String workingDir) { } } + /** + * Writes out the XML configuration file that will be injected by the client + * as a configuration resource. + *

+ * This file will include a series of links injected by Azkaban as well as + * any job properties that begin with the designated injection prefix. + * + * @param props The Azkaban properties + * @param workingDir The Azkaban job working directory + */ + public static void prepareResourcesToInject(Props props, String workingDir) { + prepareResourcesToInject(props, workingDir, INJECT_FILE); + } + private static void addHadoopProperty(Props props, String propertyName) { - props.put(INJECT_PREFIX + propertyName, props.get(propertyName)); + props.put(INJECT_PREFIX + propertyName, props.get(propertyName)); } private static void addHadoopWorkflowProperty(Props props, String propertyName) { - String workflowID = props.get(CommonJobProperties.PROJECT_NAME) - + WORKFLOW_ID_SEPERATOR + props.get(CommonJobProperties.FLOW_ID); + String workflowID = + props.get(CommonJobProperties.PROJECT_NAME) + WORKFLOW_ID_SEPERATOR + props.get(CommonJobProperties.FLOW_ID); props.put(INJECT_PREFIX + propertyName, workflowID); } - private static void addHadoopProperties(Props props) { + public static void addHadoopProperties(Props props) { String[] propsToInject = new String[]{ CommonJobProperties.EXEC_ID, CommonJobProperties.FLOW_ID, @@ -142,7 +158,7 @@ private static void addHadoopProperties(Props props) { CommonJobProperties.SUBMIT_USER }; - for(String propertyName : propsToInject) { + for (String propertyName : propsToInject) { addHadoopProperty(props, propertyName); } addHadoopWorkflowProperty(props, WORKFLOW_ID_CONFIG); diff --git a/plugins/jobtype/src/azkaban/jobtype/HadoopPigJob.java b/plugins/jobtype/src/azkaban/jobtype/HadoopPigJob.java index e8e37c02..4d2c74e6 100644 --- a/plugins/jobtype/src/azkaban/jobtype/HadoopPigJob.java +++ b/plugins/jobtype/src/azkaban/jobtype/HadoopPigJob.java @@ -65,9 +65,6 @@ public class HadoopPigJob extends JavaProcessJob { //Job level tuning enabled. Should be set at job level public static final String JOB_ENABLE_TUNING = "job.enable.tuning"; - //Internal flag for seeing whether this was a retry of the job after failure because of auto tuning - public static final String AUTO_TUNING_RETRY = "auto.tuning.retry"; - public static String HADOOP_SECURE_PIG_WRAPPER = "azkaban.jobtype.HadoopSecurePigWrapper"; @@ -79,7 +76,7 @@ public class HadoopPigJob extends JavaProcessJob { private final boolean userPigJar; private final boolean enableTuning; private HadoopSecurityManager hadoopSecurityManager; - + private final String securePigWrapper; private File pigLogFile = null; public HadoopPigJob(String jobid, Props sysProps, Props jobProps, Logger log) @@ -88,17 +85,13 @@ public HadoopPigJob(String jobid, Props sysProps, Props jobProps, Logger log) if (jobProps.containsKey(JOB_ENABLE_TUNING) && jobProps.containsKey(PIG_ENABLE_TUNING)) { enableTuning = jobProps.getBoolean(JOB_ENABLE_TUNING) && jobProps.getBoolean(PIG_ENABLE_TUNING); - }else - { + } else { enableTuning = false; } - if(enableTuning) - { - HADOOP_SECURE_PIG_WRAPPER = HadoopTuningSecurePigWrapper.class.getName(); - - }else - { - HADOOP_SECURE_PIG_WRAPPER = HadoopSecurePigWrapper.class.getName(); + if (enableTuning) { + securePigWrapper = HadoopTuningSecurePigWrapper.class.getName(); + } else { + securePigWrapper = HadoopSecurePigWrapper.class.getName(); } getJobProps().put(CommonJobProperties.JOB_ID, jobid); shouldProxy = @@ -159,7 +152,7 @@ public void run() throws Exception { @Override protected String getJavaClass() { - return HADOOP_SECURE_PIG_WRAPPER; + return securePigWrapper; } @Override @@ -269,7 +262,6 @@ protected List getClassPaths() { classPath.add(HadoopConfigurationInjector.getPath(getJobProps(), getWorkingDirectory())); - // assuming pig 0.8 and up if (!userPigJar) { classPath.add(getSourcePathFromClass(PigRunner.class)); diff --git a/plugins/jobtype/src/azkaban/jobtype/HadoopSecurePigWrapper.java b/plugins/jobtype/src/azkaban/jobtype/HadoopSecurePigWrapper.java index 1c45c78f..85b8eacf 100644 --- a/plugins/jobtype/src/azkaban/jobtype/HadoopSecurePigWrapper.java +++ b/plugins/jobtype/src/azkaban/jobtype/HadoopSecurePigWrapper.java @@ -23,25 +23,17 @@ import java.io.FileNotFoundException; import java.io.FileReader; import java.security.PrivilegedExceptionAction; -import java.util.Iterator; import java.util.Properties; -import java.util.Set; -import org.apache.hadoop.conf.Configuration; -import org.apache.hadoop.mapred.Counters; import org.apache.hadoop.security.UserGroupInformation; import org.apache.log4j.Logger; -import org.apache.pig.PigRunner; -import org.apache.pig.tools.pigstats.JobStats; import org.apache.pig.tools.pigstats.PigStats; -import org.apache.pig.tools.pigstats.PigStats.JobGraph; -import azkaban.jobExecutor.ProcessJob; +import azkaban.jobtype.pig.PigUtil; import azkaban.utils.Props; -public class HadoopSecurePigWrapper { - private static final String PIG_DUMP_HADOOP_COUNTER_PROPERTY = "pig.dump.hadoopCounter"; +public class HadoopSecurePigWrapper { private static File pigLogFile; @@ -57,15 +49,14 @@ public static void main(final String[] args) throws Exception { Properties jobProps = HadoopSecureWrapperUtils.loadAzkabanProps(); props = new Props(null, jobProps); HadoopConfigurationInjector.injectResources(props); - + // special feature of secure pig wrapper: we will append the pig error file // onto system out pigLogFile = new File(System.getenv("PIG_LOG_FILE")); if (HadoopSecureWrapperUtils.shouldProxy(jobProps)) { String tokenFile = System.getenv(HADOOP_TOKEN_FILE_LOCATION); - UserGroupInformation proxyUser = - HadoopSecureWrapperUtils.setupProxyUser(jobProps, tokenFile, logger); + UserGroupInformation proxyUser = HadoopSecureWrapperUtils.setupProxyUser(jobProps, tokenFile, logger); proxyUser.doAs(new PrivilegedExceptionAction() { @Override public Void run() throws Exception { @@ -80,14 +71,9 @@ public Void run() throws Exception { @SuppressWarnings("deprecation") public static void runPigJob(String[] args) throws Exception { - PigStats stats = null; - if (props.getBoolean("pig.listener.visualizer", false) == true) { - stats = PigRunner.run(args, new AzkabanPigListener(props)); - } else { - stats = PigRunner.run(args, null); - } + PigStats stats = PigUtil.runPigJob(args, props); - dumpHadoopCounters(stats); + PigUtil.dumpHadoopCounters(stats, props); if (stats.isSuccessful()) { return; @@ -97,62 +83,7 @@ public static void runPigJob(String[] args) throws Exception { handleError(pigLogFile); } - // see jira ticket PIG-3313. Will remove these when we use pig binary with - // that patch. - // ///////////////////// - System.out.println("Trying to do self kill, in case pig could not."); - Set threadSet = Thread.getAllStackTraces().keySet(); - Thread[] threadArray = threadSet.toArray(new Thread[threadSet.size()]); - for (Thread t : threadArray) { - if (!t.isDaemon() && !t.equals(Thread.currentThread())) { - System.out.println("Killing thread " + t); - t.stop(); - } - } - System.exit(1); - // //////////////////// - throw new RuntimeException("Pig job failed."); - } - - /** - * Dump Hadoop counters for each of the M/R jobs in the given PigStats. - * - * @param pigStats - */ - private static void dumpHadoopCounters(PigStats pigStats) { - try { - if (props.getBoolean(PIG_DUMP_HADOOP_COUNTER_PROPERTY, false)) { - if (pigStats != null) { - JobGraph jGraph = pigStats.getJobGraph(); - Iterator iter = jGraph.iterator(); - while (iter.hasNext()) { - JobStats jobStats = iter.next(); - System.out.println("\n === Counters for job: " - + jobStats.getJobId() + " ==="); - Counters counters = jobStats.getHadoopCounters(); - if (counters != null) { - for (Counters.Group group : counters) { - System.out.println(" Counter Group: " + group.getDisplayName() - + " (" + group.getName() + ")"); - System.out.println(" number of counters in this group: " - + group.size()); - for (Counters.Counter counter : group) { - System.out.println(" - " + counter.getDisplayName() + ": " - + counter.getCounter()); - } - } - } else { - System.out.println("There are no counters"); - } - } - } else { - System.out.println("pigStats is null, can't dump Hadoop counters"); - } - } - } catch (Exception e) { - System.out.println("Unexpected error: " + e.getMessage()); - e.printStackTrace(System.out); - } + PigUtil.selfKill(); } private static void handleError(File pigLog) throws Exception { diff --git a/plugins/jobtype/src/azkaban/jobtype/HadoopTuningConfigurationInjector.java b/plugins/jobtype/src/azkaban/jobtype/HadoopTuningConfigurationInjector.java index 367ec09e..0a9537c3 100644 --- a/plugins/jobtype/src/azkaban/jobtype/HadoopTuningConfigurationInjector.java +++ b/plugins/jobtype/src/azkaban/jobtype/HadoopTuningConfigurationInjector.java @@ -1,5 +1,5 @@ /* - * Copyright 2014 LinkedIn Corp. + * Copyright 2018 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 @@ -15,19 +15,8 @@ */ package azkaban.jobtype; -import java.io.File; -import java.io.FileInputStream; -import java.io.FileOutputStream; -import java.io.IOException; -import java.io.InputStream; -import java.io.OutputStream; -import java.util.Map; - -import org.apache.commons.io.IOUtils; import org.apache.hadoop.conf.Configuration; -import org.apache.log4j.Logger; -import azkaban.flow.CommonJobProperties; import azkaban.utils.Props; @@ -43,40 +32,18 @@ * constructed. */ public class HadoopTuningConfigurationInjector { - private static Logger _logger = Logger.getLogger(HadoopTuningConfigurationInjector.class); - // File to which the Hadoop configuration to inject will be written. - public static final String INJECT_FILE = "hadoop-inject.xml"; // File to which the Hadoop configuration to inject will be written. public static final String INJECT_TUNING_FILE = "hadoop-tuning-inject.xml"; - // Prefix for properties to be automatically injected into the Hadoop conf. - public static final String INJECT_PREFIX = "hadoop-inject."; - - public static final String WORKFLOW_ID_SEPERATOR = "$"; - private static final String WORKFLOW_ID_CONFIG = "yarn.workflow.id"; - /* * To be called by the forked process to load the generated links and Hadoop * configuration properties to automatically inject. * * @param props The Azkaban properties */ - public static void injectResources(Props props, String workingDir) { - // Add mapred, yarn and hdfs site configs (in addition to core-site, which - // is automatically added) as default resources before we add the injected - // configuration. This will cause the injected properties to override the - // default site properties (instead of vice-versa). This is safe to do, - // even when these site files don't exist for your Hadoop installation. - if (props.getBoolean("azkaban.inject.hadoop-site.configs", true)) { - Configuration.addDefaultResource("mapred-default.xml"); - Configuration.addDefaultResource("mapred-site.xml"); - Configuration.addDefaultResource("yarn-default.xml"); - Configuration.addDefaultResource("yarn-site.xml"); - Configuration.addDefaultResource("hdfs-default.xml"); - Configuration.addDefaultResource("hdfs-site.xml"); - } - Configuration.addDefaultResource(INJECT_FILE); + public static void injectResources(Props props) { + HadoopConfigurationInjector.injectResources(props); Configuration.addDefaultResource(INJECT_TUNING_FILE); } @@ -91,111 +58,7 @@ public static void injectResources(Props props, String workingDir) { * @param workingDir The Azkaban job working directory */ public static void prepareResourcesToInject(Props props, String workingDir) { - try { - Configuration conf = new Configuration(false); - - // First, inject a series of Azkaban links. These are equivalent to - // CommonJobProperties.[EXECUTION,WORKFLOW,JOB,JOBEXEC,ATTEMPT]_LINK - addHadoopProperties(props); - - // Next, automatically inject any properties that begin with the - // designated injection prefix. - Map confProperties = props.getMapByPrefix(INJECT_PREFIX); - - for (Map.Entry entry : confProperties.entrySet()) { - String confKey = entry.getKey().replace(INJECT_PREFIX, ""); - String confVal = entry.getValue(); - if (confVal != null) { - conf.set(confKey, confVal); - } - } - - // Now write out the configuration file to inject. - File file = getConfFile(props, workingDir, INJECT_TUNING_FILE); - OutputStream xmlOut = new FileOutputStream(file); - conf.writeXml(xmlOut); - xmlOut.close(); - } catch (Throwable e) { - _logger.error("Encountered error while preparing the Hadoop configuration resource file", e); - } - } - - private static void addHadoopProperty(Props props, String propertyName) { - props.put(INJECT_PREFIX + propertyName, props.get(propertyName)); - } - - private static void addHadoopWorkflowProperty(Props props, String propertyName) { - String workflowID = - props.get(CommonJobProperties.PROJECT_NAME) + WORKFLOW_ID_SEPERATOR + props.get(CommonJobProperties.FLOW_ID); - props.put(INJECT_PREFIX + propertyName, workflowID); - } - - private static void addHadoopProperties(Props props) { - String[] propsToInject = - new String[] { CommonJobProperties.EXEC_ID, CommonJobProperties.FLOW_ID, CommonJobProperties.JOB_ID, CommonJobProperties.PROJECT_NAME, CommonJobProperties.PROJECT_VERSION, CommonJobProperties.EXECUTION_LINK, CommonJobProperties.JOB_LINK, CommonJobProperties.WORKFLOW_LINK, CommonJobProperties.JOBEXEC_LINK, CommonJobProperties.ATTEMPT_LINK, CommonJobProperties.OUT_NODES, CommonJobProperties.IN_NODES, CommonJobProperties.PROJECT_LAST_CHANGED_DATE, CommonJobProperties.PROJECT_LAST_CHANGED_BY, CommonJobProperties.SUBMIT_USER }; - - for (String propertyName : propsToInject) { - addHadoopProperty(props, propertyName); - } - addHadoopWorkflowProperty(props, WORKFLOW_ID_CONFIG); - } - - /** - * Resolve the location of the file containing the configuration file. - * - * @param props The Azkaban properties - * @param workingDir The Azkaban job working directory - * @param fileName The desired configuration file name - */ - public static File getConfFile(Props props, String workingDir, String fileName) { - File jobDir = new File(workingDir, getDirName(props)); - if (!jobDir.exists()) { - jobDir.mkdir(); - } - return new File(jobDir, fileName); + HadoopConfigurationInjector.prepareResourcesToInject(props, workingDir, INJECT_TUNING_FILE); } - /** - * For classpath reasons, we'll put each link file in a separate directory. - * This must be called only after the job id has been inserted by the job. - * - * @param props The Azkaban properties - */ - public static String getDirName(Props props) { - String dirSuffix = props.get(CommonJobProperties.NESTED_FLOW_PATH); - - if ((dirSuffix == null) || (dirSuffix.length() == 0)) { - dirSuffix = props.get(CommonJobProperties.JOB_ID); - if ((dirSuffix == null) || (dirSuffix.length() == 0)) { - throw new RuntimeException("azkaban.flow.nested.path and azkaban.job.id were not set"); - } - } - - return "_resources_" + dirSuffix.replace(':', '_'); - } - - /** - * Gets the path to the directory in which the generated links and Hadoop - * conf properties files are written. - * - * @param props The Azkaban properties - * @param workingDir The Azkaban job working directory - */ - public static String getPath(Props props, String workingDir) { - return new File(workingDir, getDirName(props)).toString(); - } - - /** - * Loads an Azkaban property into the Hadoop configuration. - * - * @param props The Azkaban properties - * @param conf The Hadoop configuration - * @param name The property name to load from the Azkaban properties into the Hadoop configuration - */ - public static void loadProp(Props props, Configuration conf, String name) { - String prop = props.get(name); - if (prop != null) { - conf.set(name, prop); - } - } } diff --git a/plugins/jobtype/src/azkaban/jobtype/HadoopTuningSecurePigWrapper.java b/plugins/jobtype/src/azkaban/jobtype/HadoopTuningSecurePigWrapper.java index 53b12e8f..1767af3f 100644 --- a/plugins/jobtype/src/azkaban/jobtype/HadoopTuningSecurePigWrapper.java +++ b/plugins/jobtype/src/azkaban/jobtype/HadoopTuningSecurePigWrapper.java @@ -1,5 +1,5 @@ /* - * Copyright 2012 LinkedIn Corp. + * Copyright 2018 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 @@ -23,29 +23,24 @@ import java.io.FileNotFoundException; import java.io.FileReader; import java.security.PrivilegedExceptionAction; -import java.util.Iterator; import java.util.Properties; -import java.util.Set; -import org.apache.hadoop.mapred.Counters; import org.apache.hadoop.security.UserGroupInformation; import org.apache.log4j.Logger; -import org.apache.pig.PigRunner; -import org.apache.pig.tools.pigstats.JobStats; import org.apache.pig.tools.pigstats.PigStats; -import org.apache.pig.tools.pigstats.PigStats.JobGraph; +import azkaban.jobtype.pig.PigUtil; import azkaban.jobtype.tuning.TuningCommonConstants; -import azkaban.jobtype.tuning.TuningParameterUtils; import azkaban.jobtype.tuning.TuningErrorHandler; +import azkaban.jobtype.tuning.TuningParameterUtils; import azkaban.utils.Props; + /** * This class represent wrapper for running pig job with tuning enabled. */ public class HadoopTuningSecurePigWrapper { - private static final String PIG_DUMP_HADOOP_COUNTER_PROPERTY = "pig.dump.hadoopCounter"; public static final String WORKING_DIR = "working.dir"; private static File pigLogFile; @@ -58,12 +53,15 @@ public class HadoopTuningSecurePigWrapper { * In case if job is failed because of auto tuning parameters, it will be retried with the best parameters * we have seen so far. Maximum number of try is 2. */ - private static int maxRetry = 2; - private static int tryCount = 1; + private static int maxJobRetry = 2; + private static int jobTryCount = 1; /** * Is job failed because of tuning parameters */ private static boolean isTuningError = false; + + private static final String TUNING_JOB_RETRY_COUNT = "tuning.job.retry.count"; + static { logger = Logger.getRootLogger(); } @@ -80,9 +78,12 @@ public static void main(final String[] args) throws Exception { Props initialJobprops = new Props(null, jobProps); boolean retry = false; boolean firstTry = true; + if (props.containsKey(TUNING_JOB_RETRY_COUNT)) { + maxJobRetry = props.getInt(TUNING_JOB_RETRY_COUNT); + } - while (tryCount <= maxRetry && (retry || firstTry)) { - tryCount++; + while (jobTryCount <= maxJobRetry && (retry || firstTry)) { + jobTryCount++; firstTry = false; props = Props.clone(initialJobprops); props.put(TuningCommonConstants.AUTO_TUNING_RETRY, retry + ""); @@ -92,7 +93,7 @@ public static void main(final String[] args) throws Exception { HadoopTuningConfigurationInjector.prepareResourcesToInject(props, HadoopTuningSecurePigWrapper.getWorkingDirectory(props)); - HadoopTuningConfigurationInjector.injectResources(props, HadoopTuningSecurePigWrapper.getWorkingDirectory(props)); + HadoopTuningConfigurationInjector.injectResources(props); // special feature of secure pig wrapper: we will append the pig error file // onto system out @@ -114,12 +115,11 @@ public Void run() throws Exception { } } catch (Exception t) { retry = false; - System.out.println("Error " + isTuningError + " tryCount:" + tryCount + ", maxRetry:" + maxRetry); - if (isTuningError && tryCount<=maxRetry) { + System.out.println("Error " + isTuningError + ", tryCount:" + jobTryCount + ", maxRetry:" + maxJobRetry); + if (isTuningError && jobTryCount <= maxJobRetry) { System.out.println("Error due to auto tuning parameters "); retry = true; - }else - { + } else { throw t; } } @@ -128,14 +128,9 @@ public Void run() throws Exception { @SuppressWarnings("deprecation") public static void runPigJob(String[] args) throws Exception { - PigStats stats = null; - if (props.getBoolean("pig.listener.visualizer", false) == true) { - stats = PigRunner.run(args, new AzkabanPigListener(props)); - } else { - stats = PigRunner.run(args, null); - } + PigStats stats = PigUtil.runPigJob(args, props); - dumpHadoopCounters(stats); + PigUtil.dumpHadoopCounters(stats, props); if (stats.isSuccessful()) { return; @@ -145,61 +140,11 @@ public static void runPigJob(String[] args) throws Exception { handleError(pigLogFile); } - if (isTuningError && tryCount<=maxRetry) { + if (isTuningError && jobTryCount <= maxJobRetry) { throw new RuntimeException("Pig job failed."); } - // see jira ticket PIG-3313. Will remove these when we use pig binary with - // that patch. - // ///////////////////// - System.out.println("Trying to do self kill, in case pig could not."); - Set threadSet = Thread.getAllStackTraces().keySet(); - Thread[] threadArray = threadSet.toArray(new Thread[threadSet.size()]); - for (Thread t : threadArray) { - if (!t.isDaemon() && !t.equals(Thread.currentThread())) { - System.out.println("Killing thread " + t); - t.stop(); - } - } - System.exit(1); - // //////////////////// - throw new RuntimeException("Pig job failed."); - } - /** - * Dump Hadoop counters for each of the M/R jobs in the given PigStats. - * - * @param pigStats - */ - private static void dumpHadoopCounters(PigStats pigStats) { - try { - if (props.getBoolean(PIG_DUMP_HADOOP_COUNTER_PROPERTY, false)) { - if (pigStats != null) { - JobGraph jGraph = pigStats.getJobGraph(); - Iterator iter = jGraph.iterator(); - while (iter.hasNext()) { - JobStats jobStats = iter.next(); - System.out.println("\n === Counters for job: " + jobStats.getJobId() + " ==="); - Counters counters = jobStats.getHadoopCounters(); - if (counters != null) { - for (Counters.Group group : counters) { - System.out.println(" Counter Group: " + group.getDisplayName() + " (" + group.getName() + ")"); - System.out.println(" number of counters in this group: " + group.size()); - for (Counters.Counter counter : group) { - System.out.println(" - " + counter.getDisplayName() + ": " + counter.getCounter()); - } - } - } else { - System.out.println("There are no counters"); - } - } - } else { - System.out.println("pigStats is null, can't dump Hadoop counters"); - } - } - } catch (Exception e) { - System.out.println("Unexpected error: " + e.getMessage()); - e.printStackTrace(System.out); - } + PigUtil.selfKill(); } private static void handleError(File pigLog) throws Exception { diff --git a/plugins/jobtype/src/azkaban/jobtype/pig/PigUtil.java b/plugins/jobtype/src/azkaban/jobtype/pig/PigUtil.java new file mode 100644 index 00000000..352d90e9 --- /dev/null +++ b/plugins/jobtype/src/azkaban/jobtype/pig/PigUtil.java @@ -0,0 +1,100 @@ +/* + * Copyright 2018 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. + */ + +package azkaban.jobtype.pig; + +import java.util.Iterator; +import java.util.Set; + +import org.apache.hadoop.mapred.Counters; +import org.apache.pig.PigRunner; +import org.apache.pig.tools.pigstats.JobStats; +import org.apache.pig.tools.pigstats.PigStats; +import org.apache.pig.tools.pigstats.PigStats.JobGraph; + +import azkaban.jobtype.AzkabanPigListener; +import azkaban.utils.Props; + + +public class PigUtil { + private static final String PIG_DUMP_HADOOP_COUNTER_PROPERTY = "pig.dump.hadoopCounter"; + + public static PigStats runPigJob(String[] args, Props props) throws Exception { + PigStats stats = null; + if (props.getBoolean("pig.listener.visualizer", false) == true) { + stats = PigRunner.run(args, new AzkabanPigListener(props)); + } else { + stats = PigRunner.run(args, null); + } + return stats; + } + + /** + * Dump Hadoop counters for each of the M/R jobs in the given PigStats. + * + * @param pigStats + */ + public static void dumpHadoopCounters(PigStats pigStats, Props props) { + try { + if (props.getBoolean(PIG_DUMP_HADOOP_COUNTER_PROPERTY, false)) { + if (pigStats != null) { + JobGraph jGraph = pigStats.getJobGraph(); + Iterator iter = jGraph.iterator(); + while (iter.hasNext()) { + JobStats jobStats = iter.next(); + System.out.println("\n === Counters for job: " + jobStats.getJobId() + " ==="); + Counters counters = jobStats.getHadoopCounters(); + if (counters != null) { + for (Counters.Group group : counters) { + System.out.println(" Counter Group: " + group.getDisplayName() + " (" + group.getName() + ")"); + System.out.println(" number of counters in this group: " + group.size()); + for (Counters.Counter counter : group) { + System.out.println(" - " + counter.getDisplayName() + ": " + counter.getCounter()); + } + } + } else { + System.out.println("There are no counters"); + } + } + } else { + System.out.println("pigStats is null, can't dump Hadoop counters"); + } + } + } catch (Exception e) { + System.out.println("Unexpected error: " + e.getMessage()); + e.printStackTrace(System.out); + } + } + + public static void selfKill() { + // see jira ticket PIG-3313. Will remove these when we use pig binary with + // that patch. + // ///////////////////// + System.out.println("Trying to do self kill, in case pig could not."); + Set threadSet = Thread.getAllStackTraces().keySet(); + Thread[] threadArray = threadSet.toArray(new Thread[threadSet.size()]); + for (Thread t : threadArray) { + if (!t.isDaemon() && !t.equals(Thread.currentThread())) { + System.out.println("Killing thread " + t); + t.stop(); + } + } + System.exit(1); + // //////////////////// + throw new RuntimeException("Pig job failed."); + + } +} diff --git a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningCommonConstants.java b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningCommonConstants.java index fb3121a2..e559ca48 100644 --- a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningCommonConstants.java +++ b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningCommonConstants.java @@ -1,5 +1,5 @@ /* - * Copyright 2012 LinkedIn Corp. + * Copyright 2018 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 @@ -24,16 +24,6 @@ public class TuningCommonConstants { private TuningCommonConstants() { } - public static final String AZKABAN_EXEC_ID = "azkaban.flow.execid"; - public static final String AZKABAN_JOB_ID = "azkaban.job.id"; - public static final String AZKABAN_FLOW_ID = "azkaban.flow.flowid"; - public static final String AZKABAN_ATTEMPT_URL = "azkaban.link.attempt.url"; - public static final String AZKABAN_EXECUTION_URL = "azkaban.link.execution.url"; - public static final String AZKABAN_JOB_URL = "azkaban.link.job.url"; - public static final String AZKABAN_WORKFLOW_URL = "azkaban.link.workflow.url"; - public static final String AZKABAN_JOB_EXECUTION_URL = "azkaban.link.jobexec.url"; - public static final String AZKABAN_HOST_NAME = "azkaban.url"; - public static final String AZKABAN_PROJECT_NAME = "azkaban.flow.projectname"; public static final String AUTO_TUNING_JOB_TYPE = "auto.tuning.job.type"; public static final String OPTIMIZATION_METRIC = "optimization.metric"; @@ -42,8 +32,8 @@ private TuningCommonConstants() { public static final String ALLOWED_MAX_RESOURCE_USAGE_PERCENT = "allowed_max_resource_usage_percent"; public static final String ALLOWED_MAX_EXECUTION_TIME_PERCENT = "allowed_max_execution_time_percent"; - public static final String ENABLE_TUNING = "enable_tuning"; - public static final String AUTO_TUNING_RETRY = "auto_tuning_retry"; + public static final String AUTO_TUNING_RETRY = "auto.tuning.retry"; + public static final String AUTO_TUNING_ENABLED = "auto.tuning.enabled"; public static final String PROJECT_NAME_API_PARAM = "projectName"; public static final String FLOW_DEFINITION_ID_API_PARAM = "flowDefId"; @@ -67,5 +57,4 @@ private TuningCommonConstants() { public static final String ALLOWED_MAX_RESOURCE_USAGE_PERCENT_PERCENT_API_PARAM = "allowedMaxResourceUsagePercent"; public static final String VERSION_API_PARAM = "version"; - } diff --git a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorHandler.java b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorHandler.java index 1f924bd0..59765591 100644 --- a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorHandler.java +++ b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorHandler.java @@ -1,5 +1,5 @@ /* - * Copyright 2012 LinkedIn Corp. + * Copyright 2018 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 @@ -23,6 +23,7 @@ import org.apache.log4j.Logger; + /** * This class is responsible for finding whether failure is because of tuning parameters. * This try to search predefined patterns in the log. @@ -30,9 +31,9 @@ public class TuningErrorHandler { private Logger log = Logger.getRootLogger(); - List errorPatterns = new ArrayList(3); + private static List errorPatterns = new ArrayList(); - public TuningErrorHandler() { + static { Pattern pattern1 = Pattern.compile(".*Error: Java heap space.*"); Pattern pattern2 = Pattern.compile(".*java.lang.OutOfMemoryError.*"); Pattern pattern3 = Pattern.compile(".*Container .* is running beyond virtual memory limits.*"); @@ -44,8 +45,7 @@ public TuningErrorHandler() { } public boolean containsAutoTuningError(String logMessage) { - if(logMessage!=null) - { + if (logMessage != null) { for (Pattern pattern : errorPatterns) { Matcher matcher = pattern.matcher(logMessage); if (matcher.matches()) { diff --git a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningParameterUtils.java b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningParameterUtils.java index c4718af4..fc449f7a 100644 --- a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningParameterUtils.java +++ b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningParameterUtils.java @@ -1,5 +1,5 @@ /* - * Copyright 2012 LinkedIn Corp. + * Copyright 2018 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 @@ -31,16 +31,17 @@ import org.apache.http.util.EntityUtils; import org.apache.log4j.Logger; +import azkaban.flow.CommonJobProperties; import azkaban.jobtype.HadoopConfigurationInjector; import azkaban.utils.Props; import com.google.gson.Gson; + /** * TuningParameterUtils is a utility class responsible for updating tuned hadoop parameters for the job * by calling tuning api. Before calling tuning api, it gets default parameters for the job and passes default * parameters to api. By default it tries 3 times in case api is down before running the job with default parameters. - */ public class TuningParameterUtils { @@ -49,10 +50,11 @@ public class TuningParameterUtils { private static final int DEFAULT_TUNING_API_TIMEOUT_MS = 10000; private static final String USER_TO_PROXY = "user.to.proxy"; - private static final String TUNING_API_RETRY_COUNT = "tuning.api.retry,count"; + private static final String TUNING_API_RETRY_COUNT = "tuning.api.retry.count"; private static final String TUNING_API_TIMEOUT = "tuning.api.timeout"; private static final String AZKABAN = "azkaban"; private static final String TUNING_API_VERSION = "2"; + private TuningParameterUtils() { } @@ -78,28 +80,24 @@ public static Map getHadoopProperties(Props props) { * @param props */ public static void updateAutoTuningParameters(Props props) { - int count = 0; + int retryCount = 0; boolean noException = false; Map params = null; - if(props.containsKey(TuningCommonConstants.TUNING_API_END_POINT)==false) - { + if (!props.containsKey(TuningCommonConstants.TUNING_API_END_POINT)) { log.error("Tuning API End Point not found in properties. Not applying auto tuning. "); return; } - int retryCount = DEFAULT_TUNING_API_RETRY_COUNT; + int maxRetryCount = DEFAULT_TUNING_API_RETRY_COUNT; if (props.containsKey(TUNING_API_RETRY_COUNT)) { - retryCount = props.getInt(TUNING_API_RETRY_COUNT); + maxRetryCount = props.getInt(TUNING_API_RETRY_COUNT); } - while (!noException && count < retryCount) { + while (!noException && retryCount < maxRetryCount) { try { - count++; - log.info("Calling get current run parameters. Try count " + count); + retryCount++; + log.info("Calling get current run parameters. Try count " + retryCount); params = getCurrentRunParameters(props); - log.info("Parameters are " + params.toString()); noException = true; - } catch (IOException e) { - log.error("Error in getting current run parameter ", e); } catch (Exception e) { log.error("Error in getting current run parameter ", e); } @@ -110,7 +108,7 @@ public static void updateAutoTuningParameters(Props props) { props.put(HadoopConfigurationInjector.INJECT_PREFIX + param.getKey(), param.getValue()); log.info("Applied parameter " + param.getKey() + " with value " + param.getValue()); } - props.put(HadoopConfigurationInjector.INJECT_PREFIX + "auto.tuning.enabled", "true"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + TuningCommonConstants.AUTO_TUNING_ENABLED, "true"); } } @@ -129,47 +127,68 @@ public static Map getCurrentRunParameters(Props props) throws IO CloseableHttpClient httpClient = HttpClients.createDefault(); HttpResponse response = null; - String requestString = String.format("%s", props.get(TuningCommonConstants.TUNING_API_END_POINT)); + String endPoint = String.format("%s", props.get(TuningCommonConstants.TUNING_API_END_POINT)); - log.info("Dr elephant request : " + requestString); + log.info("Dr elephant endPoint : " + endPoint); int tuningAPITimeoutMS = DEFAULT_TUNING_API_TIMEOUT_MS; if (props.containsKey(TUNING_API_TIMEOUT)) { tuningAPITimeoutMS = props.getInt(TUNING_API_TIMEOUT); } - HttpPost request = new HttpPost(requestString); + HttpPost request = new HttpPost(endPoint); final RequestConfig config = RequestConfig.custom().setConnectTimeout(tuningAPITimeoutMS).setSocketTimeout(tuningAPITimeoutMS).build(); request.setConfig(config); Map params = new HashMap(); - params.put(TuningCommonConstants.PROJECT_NAME_API_PARAM, props.get(TuningCommonConstants.AZKABAN_PROJECT_NAME)); - params.put(TuningCommonConstants.FLOW_DEFINITION_ID_API_PARAM, props.get(TuningCommonConstants.AZKABAN_WORKFLOW_URL)); - params.put(TuningCommonConstants.JOB_DEFINITION_ID_API_PARAM, props.get(TuningCommonConstants.AZKABAN_JOB_URL)); - params.put(TuningCommonConstants.FLOW_EXECUTION_ID_API_PARAM, props.get(TuningCommonConstants.AZKABAN_EXECUTION_URL)); - params.put(TuningCommonConstants.JOB_EXECUTION_ID_API_PARAM, props.get(TuningCommonConstants.AZKABAN_ATTEMPT_URL)); - params.put(TuningCommonConstants.FLOW_DEFINITION_URL_API_PARAM, props.get(TuningCommonConstants.AZKABAN_WORKFLOW_URL)); - params.put(TuningCommonConstants.JOB_DEFINITION_URL_API_PARAM, props.get(TuningCommonConstants.AZKABAN_JOB_URL)); - params.put(TuningCommonConstants.FLOW_EXECUTION_URL_API_PARAM, props.get(TuningCommonConstants.AZKABAN_EXECUTION_URL)); - params.put(TuningCommonConstants.JOB_EXECUTION_URL_API_PARAM, props.get(TuningCommonConstants.AZKABAN_ATTEMPT_URL)); - params.put(TuningCommonConstants.JOB_NAME_API_PARAM, props.get(TuningCommonConstants.AZKABAN_JOB_ID)); + params.put(TuningCommonConstants.PROJECT_NAME_API_PARAM, props.get(CommonJobProperties.PROJECT_NAME)); + + params.put(TuningCommonConstants.FLOW_DEFINITION_ID_API_PARAM, props.get(CommonJobProperties.WORKFLOW_LINK)); + + params.put(TuningCommonConstants.JOB_DEFINITION_ID_API_PARAM, props.get(CommonJobProperties.JOB_LINK)); + + params.put(TuningCommonConstants.FLOW_EXECUTION_ID_API_PARAM, props.get(CommonJobProperties.EXECUTION_LINK)); + + params.put(TuningCommonConstants.JOB_EXECUTION_ID_API_PARAM, props.get(CommonJobProperties.ATTEMPT_LINK)); + + params.put(TuningCommonConstants.FLOW_DEFINITION_URL_API_PARAM, props.get(CommonJobProperties.WORKFLOW_LINK)); + + params.put(TuningCommonConstants.JOB_DEFINITION_URL_API_PARAM, props.get(CommonJobProperties.JOB_LINK)); + + params.put(TuningCommonConstants.FLOW_EXECUTION_URL_API_PARAM, props.get(CommonJobProperties.EXECUTION_LINK)); + + params.put(TuningCommonConstants.JOB_EXECUTION_URL_API_PARAM, props.get(CommonJobProperties.ATTEMPT_LINK)); + + params.put(TuningCommonConstants.JOB_NAME_API_PARAM, props.get(CommonJobProperties.JOB_ID)); + params.put(TuningCommonConstants.DEFAULT_PARAM_API_PARAM, getDefaultJobParameterJSON(props)); + params.put(TuningCommonConstants.SCHEDULER_API_PARAM, AZKABAN); + params.put(TuningCommonConstants.CLIENT_API_PARAM, AZKABAN); - params.put(TuningCommonConstants.AUTO_TUNING_JOB_TYPE_API_PARAM, props.get(TuningCommonConstants.AUTO_TUNING_JOB_TYPE)); - params.put(TuningCommonConstants.OPTIMIZATION_METRIC_API_PARAM, props.get(TuningCommonConstants.OPTIMIZATION_METRIC)); + + params.put(TuningCommonConstants.AUTO_TUNING_JOB_TYPE_API_PARAM, + props.get(TuningCommonConstants.AUTO_TUNING_JOB_TYPE)); + + params.put(TuningCommonConstants.OPTIMIZATION_METRIC_API_PARAM, + props.get(TuningCommonConstants.OPTIMIZATION_METRIC)); + params.put(TuningCommonConstants.USER_NAME_API_PARAM, props.get(USER_TO_PROXY)); + if (props.containsKey(TuningCommonConstants.AUTO_TUNING_RETRY)) { params.put(TuningCommonConstants.IS_RETRY_API_PARAM, props.get(TuningCommonConstants.AUTO_TUNING_RETRY)); } else { params.put(TuningCommonConstants.IS_RETRY_API_PARAM, "false"); } + params.put(TuningCommonConstants.SKIP_EXECUTION_FOR_OPTIMIZATION_API_PARAM, "false"); + if (props.containsKey(TuningCommonConstants.ALLOWED_MAX_EXECUTION_TIME_PERCENT)) { params.put(TuningCommonConstants.ALLOWED_MAX_EXECUTION_TIME_PERCENT_API_PARAM, props.getString(TuningCommonConstants.ALLOWED_MAX_EXECUTION_TIME_PERCENT)); } + if (props.containsKey(TuningCommonConstants.ALLOWED_MAX_RESOURCE_USAGE_PERCENT)) { params.put(TuningCommonConstants.ALLOWED_MAX_RESOURCE_USAGE_PERCENT_PERCENT_API_PARAM, props.getString(TuningCommonConstants.ALLOWED_MAX_RESOURCE_USAGE_PERCENT)); @@ -190,7 +209,6 @@ public static Map getCurrentRunParameters(Props props) throws IO if (response.getStatusLine().getStatusCode() != HttpStatus.SC_OK) { log.error("Error in response. Response is " + response); } else { - log.info("Response is " + response); HttpEntity responseEntity = response.getEntity(); String responseJson = EntityUtils.toString(responseEntity); outputParams = (Map) gson.fromJson(responseJson, Map.class); diff --git a/plugins/jobtype/test/azkaban/jobtype/TestHadoopTuningConfigurationInjector.java b/plugins/jobtype/test/azkaban/jobtype/TestHadoopTuningConfigurationInjector.java index b2672020..d5e97dca 100644 --- a/plugins/jobtype/test/azkaban/jobtype/TestHadoopTuningConfigurationInjector.java +++ b/plugins/jobtype/test/azkaban/jobtype/TestHadoopTuningConfigurationInjector.java @@ -1,10 +1,28 @@ +/* + * Copyright 2018 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. + */ + package azkaban.jobtype; import java.io.File; import java.io.IOException; +import java.util.Map; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; +import org.apache.hadoop.mapreduce.MRJobConfig; import org.junit.Assert; import org.junit.Test; @@ -17,50 +35,55 @@ public class TestHadoopTuningConfigurationInjector { @Test - public void testTuningErrorHandler() throws IOException { + public void testPrepareResourcesToInject() throws IOException { File root = Files.createTempDir(); - Props props = new Props(); - props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.task.io.sort.mb", "100"); - props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.task.io.sort.factor", "100"); - props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.reduce.memory.mb", "2048"); - props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.map.memory.mb", "2048"); - - props.put(CommonJobProperties.EXEC_ID, CommonJobProperties.EXEC_ID); - props.put(CommonJobProperties.FLOW_ID, CommonJobProperties.FLOW_ID); - props.put(CommonJobProperties.JOB_ID, CommonJobProperties.JOB_ID); - props.put(CommonJobProperties.PROJECT_NAME, CommonJobProperties.PROJECT_NAME); - props.put(CommonJobProperties.PROJECT_VERSION, CommonJobProperties.PROJECT_VERSION); - props.put(CommonJobProperties.EXECUTION_LINK, CommonJobProperties.EXECUTION_LINK); - props.put(CommonJobProperties.JOB_LINK, CommonJobProperties.JOB_LINK); - props.put(CommonJobProperties.WORKFLOW_LINK, CommonJobProperties.WORKFLOW_LINK); - props.put(CommonJobProperties.JOBEXEC_LINK, CommonJobProperties.JOBEXEC_LINK); - props.put(CommonJobProperties.ATTEMPT_LINK, CommonJobProperties.ATTEMPT_LINK); - props.put(CommonJobProperties.OUT_NODES, CommonJobProperties.OUT_NODES); - props.put(CommonJobProperties.IN_NODES, CommonJobProperties.IN_NODES); - props.put(CommonJobProperties.PROJECT_LAST_CHANGED_DATE, CommonJobProperties.PROJECT_LAST_CHANGED_DATE); - props.put(CommonJobProperties.PROJECT_LAST_CHANGED_BY, CommonJobProperties.PROJECT_LAST_CHANGED_BY); - props.put(CommonJobProperties.SUBMIT_USER, CommonJobProperties.SUBMIT_USER); - - HadoopTuningConfigurationInjector.prepareResourcesToInject(props, root.getAbsolutePath()); - HadoopTuningConfigurationInjector.injectResources(props, root.getAbsolutePath()); + Props allProps = new Props(); + Props azkabanProps = new Props(); + Props userProps = new Props(); + + userProps.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_MB, "100"); + userProps.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_FACTOR, "100"); + userProps.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.REDUCE_MEMORY_MB, "2048"); + userProps.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB, "2048"); + + azkabanProps.put(CommonJobProperties.EXEC_ID, CommonJobProperties.EXEC_ID); + azkabanProps.put(CommonJobProperties.FLOW_ID, CommonJobProperties.FLOW_ID); + azkabanProps.put(CommonJobProperties.JOB_ID, CommonJobProperties.JOB_ID); + azkabanProps.put(CommonJobProperties.PROJECT_NAME, CommonJobProperties.PROJECT_NAME); + azkabanProps.put(CommonJobProperties.PROJECT_VERSION, CommonJobProperties.PROJECT_VERSION); + azkabanProps.put(CommonJobProperties.EXECUTION_LINK, CommonJobProperties.EXECUTION_LINK); + azkabanProps.put(CommonJobProperties.JOB_LINK, CommonJobProperties.JOB_LINK); + azkabanProps.put(CommonJobProperties.WORKFLOW_LINK, CommonJobProperties.WORKFLOW_LINK); + azkabanProps.put(CommonJobProperties.JOBEXEC_LINK, CommonJobProperties.JOBEXEC_LINK); + azkabanProps.put(CommonJobProperties.ATTEMPT_LINK, CommonJobProperties.ATTEMPT_LINK); + azkabanProps.put(CommonJobProperties.OUT_NODES, CommonJobProperties.OUT_NODES); + azkabanProps.put(CommonJobProperties.IN_NODES, CommonJobProperties.IN_NODES); + azkabanProps.put(CommonJobProperties.PROJECT_LAST_CHANGED_DATE, CommonJobProperties.PROJECT_LAST_CHANGED_DATE); + azkabanProps.put(CommonJobProperties.PROJECT_LAST_CHANGED_BY, CommonJobProperties.PROJECT_LAST_CHANGED_BY); + azkabanProps.put(CommonJobProperties.SUBMIT_USER, CommonJobProperties.SUBMIT_USER); + + allProps.putAll(userProps); + allProps.putAll(azkabanProps); + allProps.put("value.with.no.inject.prefix", "value"); + + HadoopTuningConfigurationInjector.prepareResourcesToInject(allProps, root.getAbsolutePath()); + HadoopTuningConfigurationInjector.injectResources(allProps); Configuration configuration = new Configuration(true); - configuration.addResource(new Path(HadoopTuningConfigurationInjector.getPath(props, root.getAbsolutePath()) + "/" + configuration.addResource(new Path(HadoopConfigurationInjector.getPath(allProps, root.getAbsolutePath()) + "/" + HadoopTuningConfigurationInjector.INJECT_TUNING_FILE)); - Assert.assertEquals("Value not matching in config ", configuration.get(CommonJobProperties.EXEC_ID), - CommonJobProperties.EXEC_ID); - Assert.assertEquals("Value not matching in config ", configuration.get(CommonJobProperties.FLOW_ID), - CommonJobProperties.FLOW_ID); - Assert.assertEquals("Value not matching in config ", configuration.get(CommonJobProperties.JOB_ID), - CommonJobProperties.JOB_ID); - Assert.assertEquals("Value not matching in config ", configuration.get(CommonJobProperties.PROJECT_NAME), - CommonJobProperties.PROJECT_NAME); - Assert.assertEquals("Value not matching in config ", configuration.get(CommonJobProperties.PROJECT_VERSION), - CommonJobProperties.PROJECT_VERSION); - Assert.assertEquals("Value not matching in config ", - configuration.get(CommonJobProperties.PROJECT_LAST_CHANGED_BY), CommonJobProperties.PROJECT_LAST_CHANGED_BY); + + Map confProperties = userProps.getMapByPrefix(HadoopConfigurationInjector.INJECT_PREFIX); + + for (Map.Entry entry : confProperties.entrySet()) { + Assert.assertEquals("Value not matching in config ", configuration.get(entry.getKey()), entry.getValue()); + } + for (String key : azkabanProps.getKeySet()) { + Assert.assertEquals("Value not matching in config ", configuration.get(key), azkabanProps.get(key)); + } + Assert.assertNull("Value should not be part of configuration ", configuration.get("value.with.no.inject.prefix")); } diff --git a/plugins/jobtype/test/azkaban/jobtype/TestTuningErrorHandler.java b/plugins/jobtype/test/azkaban/jobtype/TestTuningErrorHandler.java index b94e41b5..efa7cf25 100644 --- a/plugins/jobtype/test/azkaban/jobtype/TestTuningErrorHandler.java +++ b/plugins/jobtype/test/azkaban/jobtype/TestTuningErrorHandler.java @@ -1,3 +1,19 @@ +/* + * Copyright 2018 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. + */ + package azkaban.jobtype; import java.io.IOException; diff --git a/plugins/jobtype/test/azkaban/jobtype/TestTuningParameterUtils.java b/plugins/jobtype/test/azkaban/jobtype/TestTuningParameterUtils.java index a1b71112..febd26f7 100644 --- a/plugins/jobtype/test/azkaban/jobtype/TestTuningParameterUtils.java +++ b/plugins/jobtype/test/azkaban/jobtype/TestTuningParameterUtils.java @@ -1,8 +1,25 @@ +/* + * Copyright 2018 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. + */ + package azkaban.jobtype; import java.io.IOException; import java.util.Map; +import org.apache.hadoop.mapreduce.MRJobConfig; import org.junit.Assert; import org.junit.Test; @@ -15,10 +32,11 @@ public class TestTuningParameterUtils { @Test public void testGetHadoopProperties() throws IOException { Props props = new Props(); - props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.task.io.sort.mb", "100"); - props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.task.io.sort.factor", "100"); - props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.reduce.memory.mb", "2048"); - props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.map.memory.mb", "2048"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_MB, "100"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_FACTOR, "100"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.REDUCE_MEMORY_MB, "2048"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB, "2048"); + Map confProperties = TuningParameterUtils.getHadoopProperties(props); Assert.assertTrue("Failed to get hadoop properties mapreduce.task.io.sort.mb ", confProperties.containsKey("mapreduce.task.io.sort.mb")); @@ -44,10 +62,11 @@ public void testGetHadoopProperties() throws IOException { @Test public void testGetDefaultJobParameterJSON() throws IOException { Props props = new Props(); - props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.task.io.sort.mb", "100"); - props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.task.io.sort.factor", "100"); - props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.reduce.memory.mb", "2048"); - props.put(HadoopConfigurationInjector.INJECT_PREFIX + "mapreduce.map.memory.mb", "2048"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_MB, "100"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_FACTOR, "100"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.REDUCE_MEMORY_MB, "2048"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB, "2048"); + String defaultParamJSON = TuningParameterUtils.getDefaultJobParameterJSON(props); String expectedJSON = "{\"mapreduce.task.io.sort.mb\":\"100\",\"mapreduce.map.memory.mb\":\"2048\",\"mapreduce.reduce.memory.mb\":\"2048\",\"mapreduce.task.io.sort.factor\":\"100\"}"; From fb689f1f3f8e17ab67fb3d3cd667dffc49535eef Mon Sep 17 00:00:00 2001 From: "Manoj Kumar(Bangalore Engineering)" Date: Tue, 22 May 2018 02:15:36 +0530 Subject: [PATCH 3/5] Addressing review comments - 2 --- .../jobtype/HadoopConfigurationInjector.java | 1 - .../jobtype/HadoopTuningSecurePigWrapper.java | 45 +++++++++---------- .../src/azkaban/jobtype/pig/PigUtil.java | 17 ++++++- .../jobtype/tuning/TuningCommonConstants.java | 1 - ...rHandler.java => TuningErrorDetector.java} | 4 +- .../jobtype/tuning/TuningException.java | 26 +++++++++++ .../jobtype/tuning/TuningParameterUtils.java | 17 ++++--- ...TestHadoopTuningConfigurationInjector.java | 36 ++++++++------- .../jobtype/TestTuningErrorHandler.java | 14 +++--- 9 files changed, 100 insertions(+), 61 deletions(-) rename plugins/jobtype/src/azkaban/jobtype/tuning/{TuningErrorHandler.java => TuningErrorDetector.java} (94%) create mode 100644 plugins/jobtype/src/azkaban/jobtype/tuning/TuningException.java diff --git a/plugins/jobtype/src/azkaban/jobtype/HadoopConfigurationInjector.java b/plugins/jobtype/src/azkaban/jobtype/HadoopConfigurationInjector.java index 8b18d81a..c5b31ebc 100644 --- a/plugins/jobtype/src/azkaban/jobtype/HadoopConfigurationInjector.java +++ b/plugins/jobtype/src/azkaban/jobtype/HadoopConfigurationInjector.java @@ -50,7 +50,6 @@ public class HadoopConfigurationInjector { public static final String WORKFLOW_ID_SEPERATOR = "$"; private static final String WORKFLOW_ID_CONFIG = "yarn.workflow.id"; - /* * To be called by the forked process to load the generated links and Hadoop * configuration properties to automatically inject. diff --git a/plugins/jobtype/src/azkaban/jobtype/HadoopTuningSecurePigWrapper.java b/plugins/jobtype/src/azkaban/jobtype/HadoopTuningSecurePigWrapper.java index 1767af3f..d57f4844 100644 --- a/plugins/jobtype/src/azkaban/jobtype/HadoopTuningSecurePigWrapper.java +++ b/plugins/jobtype/src/azkaban/jobtype/HadoopTuningSecurePigWrapper.java @@ -31,7 +31,8 @@ import azkaban.jobtype.pig.PigUtil; import azkaban.jobtype.tuning.TuningCommonConstants; -import azkaban.jobtype.tuning.TuningErrorHandler; +import azkaban.jobtype.tuning.TuningErrorDetector; +import azkaban.jobtype.tuning.TuningException; import azkaban.jobtype.tuning.TuningParameterUtils; import azkaban.utils.Props; @@ -51,14 +52,9 @@ public class HadoopTuningSecurePigWrapper { /** * In case if job is failed because of auto tuning parameters, it will be retried with the best parameters - * we have seen so far. Maximum number of try is 2. + * we have seen so far. Maximum number of try by default is 2, which can be configured using parameter + * tuning.job.retry.count */ - private static int maxJobRetry = 2; - private static int jobTryCount = 1; - /** - * Is job failed because of tuning parameters - */ - private static boolean isTuningError = false; private static final String TUNING_JOB_RETRY_COUNT = "tuning.job.retry.count"; @@ -74,19 +70,21 @@ public class HadoopTuningSecurePigWrapper { * @throws Throwable */ public static void main(final String[] args) throws Exception { + int jobTryCount = 1; Properties jobProps = HadoopSecureWrapperUtils.loadAzkabanProps(); Props initialJobprops = new Props(null, jobProps); boolean retry = false; boolean firstTry = true; - if (props.containsKey(TUNING_JOB_RETRY_COUNT)) { - maxJobRetry = props.getInt(TUNING_JOB_RETRY_COUNT); + int maxJobRetry = 2; + if (initialJobprops.containsKey(TUNING_JOB_RETRY_COUNT)) { + maxJobRetry = initialJobprops.getInt(TUNING_JOB_RETRY_COUNT); } while (jobTryCount <= maxJobRetry && (retry || firstTry)) { jobTryCount++; firstTry = false; props = Props.clone(initialJobprops); - props.put(TuningCommonConstants.AUTO_TUNING_RETRY, retry + ""); + props.put(TuningCommonConstants.AUTO_TUNING_RETRY, String.valueOf(retry)); TuningParameterUtils.updateAutoTuningParameters(props); @@ -113,15 +111,17 @@ public Void run() throws Exception { } else { runPigJob(args); } - } catch (Exception t) { + } catch (TuningException t) { retry = false; - System.out.println("Error " + isTuningError + ", tryCount:" + jobTryCount + ", maxRetry:" + maxJobRetry); - if (isTuningError && jobTryCount <= maxJobRetry) { + System.out.println("TryCount:" + jobTryCount + ", maxRetry:" + maxJobRetry); + if (jobTryCount <= maxJobRetry) { System.out.println("Error due to auto tuning parameters "); retry = true; } else { throw t; } + } catch (Exception t) { + throw t; } } } @@ -140,10 +140,6 @@ public static void runPigJob(String[] args) throws Exception { handleError(pigLogFile); } - if (isTuningError && jobTryCount <= maxJobRetry) { - throw new RuntimeException("Pig job failed."); - } - PigUtil.selfKill(); } @@ -151,20 +147,21 @@ private static void handleError(File pigLog) throws Exception { System.out.println(); System.out.println("Pig logfile dump:"); System.out.println(); - try { - BufferedReader reader = new BufferedReader(new FileReader(pigLog)); + try (BufferedReader reader = new BufferedReader(new FileReader(pigLog))) { String line = reader.readLine(); - isTuningError = false; - TuningErrorHandler tuningErrorHandle = new TuningErrorHandler(); + boolean isTuningError = false; + TuningErrorDetector tuningErrorDetector = new TuningErrorDetector(); while (line != null) { System.err.println(line); line = reader.readLine(); //Checks if log have any predefined error pattern which can be caused by auto tuning parameters - if (tuningErrorHandle.containsAutoTuningError(line)) { + if (tuningErrorDetector.containsAutoTuningError(line)) { isTuningError = true; } } - reader.close(); + if (isTuningError) { + throw new TuningException("Auto Tuning Failure"); + } } catch (FileNotFoundException e) { System.err.println("pig log file: " + pigLog + " not found."); } diff --git a/plugins/jobtype/src/azkaban/jobtype/pig/PigUtil.java b/plugins/jobtype/src/azkaban/jobtype/pig/PigUtil.java index 352d90e9..dd8c49a9 100644 --- a/plugins/jobtype/src/azkaban/jobtype/pig/PigUtil.java +++ b/plugins/jobtype/src/azkaban/jobtype/pig/PigUtil.java @@ -28,10 +28,19 @@ import azkaban.jobtype.AzkabanPigListener; import azkaban.utils.Props; - +/** + * This class contains utility methods for pig jobs. + */ public class PigUtil { private static final String PIG_DUMP_HADOOP_COUNTER_PROPERTY = "pig.dump.hadoopCounter"; + /** + * Runs pig job using PigRunner + * @param args Arguments to be passed to pig runner + * @param props Azkaban props object + * @return + * @throws Exception + */ public static PigStats runPigJob(String[] args, Props props) throws Exception { PigStats stats = null; if (props.getBoolean("pig.listener.visualizer", false) == true) { @@ -45,7 +54,8 @@ public static PigStats runPigJob(String[] args, Props props) throws Exception { /** * Dump Hadoop counters for each of the M/R jobs in the given PigStats. * - * @param pigStats + * @param pigStats PigStats object returned by PigRunner run method after running the pig job + * @param props Azkaban Props Object */ public static void dumpHadoopCounters(PigStats pigStats, Props props) { try { @@ -79,6 +89,9 @@ public static void dumpHadoopCounters(PigStats pigStats, Props props) { } } + /** + * Utility method for killing self. + */ public static void selfKill() { // see jira ticket PIG-3313. Will remove these when we use pig binary with // that patch. diff --git a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningCommonConstants.java b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningCommonConstants.java index e559ca48..d3e540f7 100644 --- a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningCommonConstants.java +++ b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningCommonConstants.java @@ -56,5 +56,4 @@ private TuningCommonConstants() { public static final String ALLOWED_MAX_EXECUTION_TIME_PERCENT_API_PARAM = "allowedMaxExecutionTimePercent"; public static final String ALLOWED_MAX_RESOURCE_USAGE_PERCENT_PERCENT_API_PARAM = "allowedMaxResourceUsagePercent"; public static final String VERSION_API_PARAM = "version"; - } diff --git a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorHandler.java b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorDetector.java similarity index 94% rename from plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorHandler.java rename to plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorDetector.java index 59765591..7d53acef 100644 --- a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorHandler.java +++ b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningErrorDetector.java @@ -28,10 +28,10 @@ * This class is responsible for finding whether failure is because of tuning parameters. * This try to search predefined patterns in the log. */ -public class TuningErrorHandler { +public class TuningErrorDetector { private Logger log = Logger.getRootLogger(); - private static List errorPatterns = new ArrayList(); + private static List errorPatterns = new ArrayList<>(); static { Pattern pattern1 = Pattern.compile(".*Error: Java heap space.*"); diff --git a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningException.java b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningException.java new file mode 100644 index 00000000..2cfb3350 --- /dev/null +++ b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningException.java @@ -0,0 +1,26 @@ +/* + * Copyright 2018 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. + */ + +package azkaban.jobtype.tuning; + +/** + * Tuning exception represent any failure caused by auto tuning parameters + */ +public class TuningException extends Exception { + public TuningException(String message) { + super(message); + } +} diff --git a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningParameterUtils.java b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningParameterUtils.java index fc449f7a..13985b3a 100644 --- a/plugins/jobtype/src/azkaban/jobtype/tuning/TuningParameterUtils.java +++ b/plugins/jobtype/src/azkaban/jobtype/tuning/TuningParameterUtils.java @@ -33,6 +33,7 @@ import azkaban.flow.CommonJobProperties; import azkaban.jobtype.HadoopConfigurationInjector; +import azkaban.security.commons.HadoopSecurityManager; import azkaban.utils.Props; import com.google.gson.Gson; @@ -49,7 +50,6 @@ public class TuningParameterUtils { private static final int DEFAULT_TUNING_API_RETRY_COUNT = 3; private static final int DEFAULT_TUNING_API_TIMEOUT_MS = 10000; - private static final String USER_TO_PROXY = "user.to.proxy"; private static final String TUNING_API_RETRY_COUNT = "tuning.api.retry.count"; private static final String TUNING_API_TIMEOUT = "tuning.api.timeout"; private static final String AZKABAN = "azkaban"; @@ -81,7 +81,6 @@ public static Map getHadoopProperties(Props props) { */ public static void updateAutoTuningParameters(Props props) { int retryCount = 0; - boolean noException = false; Map params = null; if (!props.containsKey(TuningCommonConstants.TUNING_API_END_POINT)) { log.error("Tuning API End Point not found in properties. Not applying auto tuning. "); @@ -92,12 +91,12 @@ public static void updateAutoTuningParameters(Props props) { maxRetryCount = props.getInt(TUNING_API_RETRY_COUNT); } - while (!noException && retryCount < maxRetryCount) { + while (retryCount < maxRetryCount) { try { retryCount++; log.info("Calling get current run parameters. Try count " + retryCount); params = getCurrentRunParameters(props); - noException = true; + break; } catch (Exception e) { log.error("Error in getting current run parameter ", e); } @@ -113,8 +112,8 @@ public static void updateAutoTuningParameters(Props props) { } /** - *This method is for getting current run parameters from Dr Elephant - * @param props + * This method is for getting current run parameters from Dr Elephant + * @param props Azkaban Props object which contains information like Job Definition, Job Execution etc * @return Map of parameter name and value * @throws IOException * @throws ParseException @@ -127,7 +126,7 @@ public static Map getCurrentRunParameters(Props props) throws IO CloseableHttpClient httpClient = HttpClients.createDefault(); HttpResponse response = null; - String endPoint = String.format("%s", props.get(TuningCommonConstants.TUNING_API_END_POINT)); + String endPoint = props.get(TuningCommonConstants.TUNING_API_END_POINT); log.info("Dr elephant endPoint : " + endPoint); @@ -174,7 +173,7 @@ public static Map getCurrentRunParameters(Props props) throws IO params.put(TuningCommonConstants.OPTIMIZATION_METRIC_API_PARAM, props.get(TuningCommonConstants.OPTIMIZATION_METRIC)); - params.put(TuningCommonConstants.USER_NAME_API_PARAM, props.get(USER_TO_PROXY)); + params.put(TuningCommonConstants.USER_NAME_API_PARAM, props.get(HadoopSecurityManager.USER_TO_PROXY)); if (props.containsKey(TuningCommonConstants.AUTO_TUNING_RETRY)) { params.put(TuningCommonConstants.IS_RETRY_API_PARAM, props.get(TuningCommonConstants.AUTO_TUNING_RETRY)); @@ -220,7 +219,7 @@ public static Map getCurrentRunParameters(Props props) throws IO /** * Get json for default job parameters values - * @param props + * @param props Azkaban Props object * @return JSON string of default hadoop parameter map */ public static String getDefaultJobParameterJSON(Props props) { diff --git a/plugins/jobtype/test/azkaban/jobtype/TestHadoopTuningConfigurationInjector.java b/plugins/jobtype/test/azkaban/jobtype/TestHadoopTuningConfigurationInjector.java index d5e97dca..9bce0fcd 100644 --- a/plugins/jobtype/test/azkaban/jobtype/TestHadoopTuningConfigurationInjector.java +++ b/plugins/jobtype/test/azkaban/jobtype/TestHadoopTuningConfigurationInjector.java @@ -48,21 +48,27 @@ public void testPrepareResourcesToInject() throws IOException { userProps.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.REDUCE_MEMORY_MB, "2048"); userProps.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB, "2048"); - azkabanProps.put(CommonJobProperties.EXEC_ID, CommonJobProperties.EXEC_ID); - azkabanProps.put(CommonJobProperties.FLOW_ID, CommonJobProperties.FLOW_ID); - azkabanProps.put(CommonJobProperties.JOB_ID, CommonJobProperties.JOB_ID); - azkabanProps.put(CommonJobProperties.PROJECT_NAME, CommonJobProperties.PROJECT_NAME); - azkabanProps.put(CommonJobProperties.PROJECT_VERSION, CommonJobProperties.PROJECT_VERSION); - azkabanProps.put(CommonJobProperties.EXECUTION_LINK, CommonJobProperties.EXECUTION_LINK); - azkabanProps.put(CommonJobProperties.JOB_LINK, CommonJobProperties.JOB_LINK); - azkabanProps.put(CommonJobProperties.WORKFLOW_LINK, CommonJobProperties.WORKFLOW_LINK); - azkabanProps.put(CommonJobProperties.JOBEXEC_LINK, CommonJobProperties.JOBEXEC_LINK); - azkabanProps.put(CommonJobProperties.ATTEMPT_LINK, CommonJobProperties.ATTEMPT_LINK); - azkabanProps.put(CommonJobProperties.OUT_NODES, CommonJobProperties.OUT_NODES); - azkabanProps.put(CommonJobProperties.IN_NODES, CommonJobProperties.IN_NODES); - azkabanProps.put(CommonJobProperties.PROJECT_LAST_CHANGED_DATE, CommonJobProperties.PROJECT_LAST_CHANGED_DATE); - azkabanProps.put(CommonJobProperties.PROJECT_LAST_CHANGED_BY, CommonJobProperties.PROJECT_LAST_CHANGED_BY); - azkabanProps.put(CommonJobProperties.SUBMIT_USER, CommonJobProperties.SUBMIT_USER); + String[] propsToInject = new String[]{ + CommonJobProperties.EXEC_ID, + CommonJobProperties.FLOW_ID, + CommonJobProperties.JOB_ID, + CommonJobProperties.PROJECT_NAME, + CommonJobProperties.PROJECT_VERSION, + CommonJobProperties.EXECUTION_LINK, + CommonJobProperties.JOB_LINK, + CommonJobProperties.WORKFLOW_LINK, + CommonJobProperties.JOBEXEC_LINK, + CommonJobProperties.ATTEMPT_LINK, + CommonJobProperties.OUT_NODES, + CommonJobProperties.IN_NODES, + CommonJobProperties.PROJECT_LAST_CHANGED_DATE, + CommonJobProperties.PROJECT_LAST_CHANGED_BY, + CommonJobProperties.SUBMIT_USER + }; + + for (String propertyName : propsToInject) { + azkabanProps.put(propertyName, propertyName); + } allProps.putAll(userProps); allProps.putAll(azkabanProps); diff --git a/plugins/jobtype/test/azkaban/jobtype/TestTuningErrorHandler.java b/plugins/jobtype/test/azkaban/jobtype/TestTuningErrorHandler.java index efa7cf25..18d95105 100644 --- a/plugins/jobtype/test/azkaban/jobtype/TestTuningErrorHandler.java +++ b/plugins/jobtype/test/azkaban/jobtype/TestTuningErrorHandler.java @@ -21,33 +21,33 @@ import org.junit.Assert; import org.junit.Test; -import azkaban.jobtype.tuning.TuningErrorHandler; +import azkaban.jobtype.tuning.TuningErrorDetector; public class TestTuningErrorHandler { @Test public void testTuningErrorHandler() throws IOException { - TuningErrorHandler tuningErrorHandler = new TuningErrorHandler(); + TuningErrorDetector tuningErrorDetector = new TuningErrorDetector(); String message = "Error: Java heap space. Got following exception "; Assert.assertTrue("TuningErrorHandler not identifying error pattern ", - tuningErrorHandler.containsAutoTuningError(message)); + tuningErrorDetector.containsAutoTuningError(message)); message = "Error: java.lang.OutOfMemoryError: unable to create new native thread by server "; Assert.assertTrue("TuningErrorHandler not identifying error pattern ", - tuningErrorHandler.containsAutoTuningError(message)); + tuningErrorDetector.containsAutoTuningError(message)); message = "Initialization of all the collectors failed on cluster"; Assert.assertTrue("TuningErrorHandler not identifying error pattern ", - tuningErrorHandler.containsAutoTuningError(message)); + tuningErrorDetector.containsAutoTuningError(message)); message = "Container 10002 is running beyond virtual memory limits"; Assert.assertTrue("TuningErrorHandler not identifying error pattern ", - tuningErrorHandler.containsAutoTuningError(message)); + tuningErrorDetector.containsAutoTuningError(message)); message = "Failed to find class"; Assert.assertFalse("TuningErrorHandler not identifying error pattern ", - tuningErrorHandler.containsAutoTuningError(message)); + tuningErrorDetector.containsAutoTuningError(message)); } From ec7ce85d8470195ac770c191d9696c7b76664ccb Mon Sep 17 00:00:00 2001 From: "Manoj Kumar(Bangalore Engineering)" Date: Fri, 25 May 2018 15:50:54 +0530 Subject: [PATCH 4/5] Add Test cases for mocking getCurrentRunParameter API and updating parameters --- plugins/jobtype/lib/javassist-3.21.0-GA.jar | Bin 0 -> 734815 bytes plugins/jobtype/lib/mockito-core-1.10.19.jar | Bin 0 -> 1172979 bytes .../lib/powermock-api-mockito-1.6.2.jar | Bin 0 -> 96820 bytes .../lib/powermock-api-support-1.6.2.jar | Bin 0 -> 19459 bytes plugins/jobtype/lib/powermock-core-1.6.2.jar | Bin 0 -> 104718 bytes .../lib/powermock-module-junit4-1.6.2.jar | Bin 0 -> 46180 bytes .../powermock-module-junit4-common-1.6.2.jar | Bin 0 -> 14785 bytes .../jobtype/lib/powermock-reflect-1.6.2.jar | Bin 0 -> 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zb*26){j=#0|193}D_^&bou#FPwe4@EU$+D=;2A$R?6;u%?<_%lO;xX73i}~q`a6*~ zuZe8^rO3}AyU%Uyd-xV7f6mPp=v|5dm*e>+=d#h9|5DBs2jT&|$ky6U$JWAH+`^XM z!p>Zm@2h)#iFJKZ{5zof12hD70B{?)E<3HSDbs5Y;DGzNVXpvw-p}|;sC`}U*O>qe z7T^z@UvYrvOs@oh%Jh#=VtTfQ7P>;__7*x?m(Ar51%o?h$KeIg_JHfrHM9btYx_&I zzbqLUC;b5rfP)Own&34oRrtTalC`i9(=vCuQh7FiQ*|7?Z|b=L)K9?0eGL@@===Uy z!hcXd*Wh2_O(`b9^8;9*|MJZaU`F=0cwegVuK@4LEU)DNU^c)AB5|#N?kK+k{MP;b zyT{@(HT_c9&--tB*4MY+ery<$xNO48K%09240&qTz%zi+?B}KZ9k`8+k%76Ewy7S! zwT0PdJuWG}|4J3O3~|g6!0_`x!%?}Wia*Z(OBGp*|E9<|nq_S$U=vBeCUVylS;GAv z6!{F!Wo~X^`?*2?l`Y<$HD@_I{P1}0Pg*%|*^t^3?P@&W_EHGu(v`I$Pr2EIN>MCpNb$~|TmV`ej ze+_{4=Owtx-gzCM6c}3n3jp2E0j}O(@qKQ3IW>Ug`cD8q7k_oT{PHG^uPM{3EAm(3 z&Hmz+jUOxG>LxCr_qUYkr4;ikoF68ZzuSuc5$@_P=yj(hkNXweul9+5lzlZ4L-eg6 zmo=gk|0~&FUFm8i{CpV+%oqMim+KFjtSigNukoDk3#%W)KbH}mFX=L~`oA*+4tXuU z^J`H+e{w}s{GUX9TRdKg_go79GM&DR_*{(+Tt confProperties = TuningParameterUtils.getHadoopProperties(props); - Assert.assertTrue("Failed to get hadoop properties mapreduce.task.io.sort.mb ", - confProperties.containsKey("mapreduce.task.io.sort.mb")); - Assert.assertTrue("Failed to get right value for hadoop properties mapreduce.task.io.sort.mb ", - confProperties.get("mapreduce.task.io.sort.mb").equals("100")); - - Assert.assertTrue("Failed to get hadoop properties mapreduce.task.io.sort.factor ", - confProperties.containsKey("mapreduce.task.io.sort.factor")); - Assert.assertTrue("Failed to get right value for hadoop properties mapreduce.task.io.sort.factor ", confProperties - .get("mapreduce.task.io.sort.factor").equals("100")); - - Assert.assertTrue("Failed to get hadoop properties mapreduce.reduce.memory.mb ", - confProperties.containsKey("mapreduce.reduce.memory.mb")); - Assert.assertTrue("Failed to get right value for hadoop properties mapreduce.reduce.memory.mb ", confProperties - .get("mapreduce.reduce.memory.mb").equals("2048")); - - Assert.assertTrue("Failed to get hadoop properties mapreduce.map.memory.mb ", - confProperties.containsKey("mapreduce.map.memory.mb")); - Assert.assertTrue("Failed to get right value for hadoop properties mapreduce.map.memory.mb ", - confProperties.get("mapreduce.map.memory.mb").equals("2048")); + Assert.assertTrue("Failed to get hadoop properties " + MRJobConfig.IO_SORT_MB, + confProperties.containsKey(MRJobConfig.IO_SORT_MB)); + Assert.assertTrue("Failed to get right value for hadoop properties " + MRJobConfig.IO_SORT_MB, + confProperties.get(MRJobConfig.IO_SORT_MB).equals("100")); + + Assert.assertTrue("Failed to get hadoop properties " + MRJobConfig.IO_SORT_FACTOR, + confProperties.containsKey(MRJobConfig.IO_SORT_FACTOR)); + Assert.assertTrue("Failed to get right value for hadoop properties " + MRJobConfig.IO_SORT_FACTOR, confProperties + .get(MRJobConfig.IO_SORT_FACTOR).equals("100")); + + Assert.assertTrue("Failed to get hadoop properties " + MRJobConfig.REDUCE_MEMORY_MB, + confProperties.containsKey(MRJobConfig.REDUCE_MEMORY_MB)); + Assert.assertTrue("Failed to get right value for hadoop properties " + MRJobConfig.REDUCE_MEMORY_MB, confProperties + .get(MRJobConfig.REDUCE_MEMORY_MB).equals("2048")); + + Assert.assertTrue("Failed to get hadoop properties " + MRJobConfig.MAP_MEMORY_MB, + confProperties.containsKey(MRJobConfig.MAP_MEMORY_MB)); + Assert.assertTrue("Failed to get right value for hadoop properties " + MRJobConfig.MAP_MEMORY_MB, confProperties + .get(MRJobConfig.MAP_MEMORY_MB).equals("2048")); } @Test @@ -68,8 +93,72 @@ public void testGetDefaultJobParameterJSON() throws IOException { props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB, "2048"); String defaultParamJSON = TuningParameterUtils.getDefaultJobParameterJSON(props); + String expectedJSON = - "{\"mapreduce.task.io.sort.mb\":\"100\",\"mapreduce.map.memory.mb\":\"2048\",\"mapreduce.reduce.memory.mb\":\"2048\",\"mapreduce.task.io.sort.factor\":\"100\"}"; + "{\"" + MRJobConfig.IO_SORT_MB + "\":\"100\"," + "\"" + MRJobConfig.MAP_MEMORY_MB + "\":\"2048\"," + "\"" + + MRJobConfig.REDUCE_MEMORY_MB + "\":\"2048\"," + "\"" + MRJobConfig.IO_SORT_FACTOR + "\":\"100\"}"; + Assert.assertEquals("Wrong JSON return for default job parameter ", defaultParamJSON, expectedJSON); } + + @Test + public void testUpdateAutoTuningParameters() throws ClientProtocolException, IOException { + + String expectedJSON = + "{\"" + MRJobConfig.IO_SORT_MB + "\":\"300\"," + "\"" + MRJobConfig.MAP_MEMORY_MB + "\":\"1024\"," + "\"" + + MRJobConfig.REDUCE_MEMORY_MB + "\":\"1024\"," + "\"" + MRJobConfig.IO_SORT_FACTOR + "\":\"10\"}"; + PowerMockito.mockStatic(HttpClients.class); + PowerMockito.mockStatic(EntityUtils.class); + + CloseableHttpClient httpClient = Mockito.mock(CloseableHttpClient.class); + PowerMockito.when(HttpClients.createDefault()).thenReturn(httpClient); + PowerMockito.when(EntityUtils.toString(Matchers.any(HttpEntity.class))).thenReturn(expectedJSON); + + HttpPost httpPost = Mockito.mock(HttpPost.class); + CloseableHttpResponse httpResponse = Mockito.mock(CloseableHttpResponse.class); + StatusLine statusLine = Mockito.mock(StatusLine.class); + HttpEntity httpEntity = Mockito.mock(HttpEntity.class); + + Mockito.when(statusLine.getStatusCode()).thenReturn(200); + Mockito.when(httpResponse.getStatusLine()).thenReturn(statusLine); + Mockito.when(httpResponse.getEntity()).thenReturn(httpEntity); + Mockito.when(httpClient.execute(httpPost)).thenReturn(httpResponse); + + Mockito.when(httpClient.execute(Matchers.any(HttpPost.class))).thenReturn((CloseableHttpResponse) httpResponse); + + Props props = new Props(); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_MB, "100"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT, "0.9"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.REDUCE_MEMORY_MB, "2048"); + props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB, "2048"); + props.put(TuningCommonConstants.TUNING_API_END_POINT, "dummy_api_end_point"); + + Props passingProps=new Props(null, props); + TuningParameterUtils.updateAutoTuningParameters(passingProps); + + Assert.assertEquals(MRJobConfig.IO_SORT_MB + " value not correct", + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_MB), "300"); + Assert.assertEquals(MRJobConfig.REDUCE_MEMORY_MB + " value not correct", + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.REDUCE_MEMORY_MB), "1024"); + Assert.assertEquals(MRJobConfig.MAP_MEMORY_MB + " value not correct", + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB), "1024"); + Assert.assertEquals(MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT + " value not correct", + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT), "0.9"); + Assert.assertEquals(MRJobConfig.IO_SORT_FACTOR + " value not correct", + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_FACTOR), "10"); + + passingProps=new Props(null, props); + Mockito.when(statusLine.getStatusCode()).thenReturn(300); + TuningParameterUtils.updateAutoTuningParameters(passingProps); + + Assert.assertEquals(MRJobConfig.IO_SORT_MB + " value not correct", + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_MB), "100"); + Assert.assertEquals(MRJobConfig.REDUCE_MEMORY_MB + " value not correct", + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.REDUCE_MEMORY_MB), "2048"); + Assert.assertEquals(MRJobConfig.MAP_MEMORY_MB + " value not correct", + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB), "2048"); + Assert.assertEquals(MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT + " value not correct", + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT), "0.9"); + + } } From 29e81d8c359fbc18cd4fed991bf288f5cbfa58e2 Mon Sep 17 00:00:00 2001 From: "Manoj Kumar(Bangalore Engineering)" Date: Sat, 26 May 2018 01:40:22 +0530 Subject: [PATCH 5/5] Adding more test cases and addressing review comments --- .../lib/powermock-api-mockito-1.6.2.jar | Bin 96820 -> 0 bytes .../lib/powermock-api-support-1.6.2.jar | Bin 19459 -> 0 bytes plugins/jobtype/lib/powermock-core-1.6.2.jar | Bin 104718 -> 0 bytes .../lib/powermock-module-junit4-1.6.2.jar | Bin 46180 -> 0 bytes .../powermock-module-junit4-common-1.6.2.jar | Bin 14785 -> 0 bytes .../jobtype/lib/powermock-reflect-1.6.2.jar | Bin 47291 -> 0 bytes .../jobtype/HadoopTuningSecurePigWrapper.java | 3 +- .../jobtype/tuning/TuningParameterUtils.java | 34 +++++----- .../jobtype/TestTuningParameterUtils.java | 59 +++++++++--------- 9 files changed, 53 insertions(+), 43 deletions(-) delete mode 100644 plugins/jobtype/lib/powermock-api-mockito-1.6.2.jar delete mode 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props.getMapByPrefix(HadoopConfigurationInjector.INJECT_PREFIX); if (log.isDebugEnabled()) { for (Map.Entry entry : confProperties.entrySet()) { @@ -79,7 +87,7 @@ public static Map getHadoopProperties(Props props) { * This method will retry 3 times in case there is timeout while calling rest API. * @param props */ - public static void updateAutoTuningParameters(Props props) { + public void updateAutoTuningParameters(Props props) { int retryCount = 0; Map params = null; if (!props.containsKey(TuningCommonConstants.TUNING_API_END_POINT)) { @@ -119,12 +127,10 @@ public static void updateAutoTuningParameters(Props props) { * @throws ParseException */ @SuppressWarnings({ "unchecked" }) - public static Map getCurrentRunParameters(Props props) throws IOException { + public Map getCurrentRunParameters(Props props) throws IOException { log.debug("Properties are " + props.toString()); - CloseableHttpClient httpClient = HttpClients.createDefault(); - HttpResponse response = null; String endPoint = props.get(TuningCommonConstants.TUNING_API_END_POINT); @@ -222,7 +228,7 @@ public static Map getCurrentRunParameters(Props props) throws IO * @param props Azkaban Props object * @return JSON string of default hadoop parameter map */ - public static String getDefaultJobParameterJSON(Props props) { + public String getDefaultJobParameterJSON(Props props) { Map paramValueMap = getHadoopProperties(props); Gson gson = new Gson(); String jobParamsJson = gson.toJson(paramValueMap); diff --git a/plugins/jobtype/test/azkaban/jobtype/TestTuningParameterUtils.java b/plugins/jobtype/test/azkaban/jobtype/TestTuningParameterUtils.java index 26af9b93..9083ca97 100644 --- a/plugins/jobtype/test/azkaban/jobtype/TestTuningParameterUtils.java +++ b/plugins/jobtype/test/azkaban/jobtype/TestTuningParameterUtils.java @@ -20,40 +20,31 @@ import java.util.Map; import org.apache.hadoop.mapreduce.MRJobConfig; -import org.apache.http.HttpEntity; -import org.apache.http.HttpResponse; import org.apache.http.StatusLine; import org.apache.http.client.ClientProtocolException; import org.apache.http.client.methods.CloseableHttpResponse; import org.apache.http.client.methods.HttpPost; +import org.apache.http.entity.StringEntity; import org.apache.http.impl.client.CloseableHttpClient; -import org.apache.http.impl.client.HttpClients; -import org.apache.http.util.EntityUtils; import org.junit.Assert; import org.junit.Test; import org.junit.runner.RunWith; import org.mockito.Matchers; import org.mockito.Mock; import org.mockito.Mockito; -import org.powermock.api.mockito.PowerMockito; -import org.powermock.core.classloader.annotations.PrepareForTest; -import org.powermock.modules.junit4.PowerMockRunner; +import org.mockito.runners.MockitoJUnitRunner; import azkaban.jobtype.tuning.TuningCommonConstants; import azkaban.jobtype.tuning.TuningParameterUtils; import azkaban.utils.Props; -@RunWith(PowerMockRunner.class) -@PrepareForTest({ HttpClients.class, EntityUtils.class }) +@RunWith(MockitoJUnitRunner.class) public class TestTuningParameterUtils { @Mock CloseableHttpClient httpClient; - @Mock - HttpResponse response; - @Test public void testGetHadoopProperties() throws IOException { Props props = new Props(); @@ -62,7 +53,8 @@ public void testGetHadoopProperties() throws IOException { props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.REDUCE_MEMORY_MB, "2048"); props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB, "2048"); - Map confProperties = TuningParameterUtils.getHadoopProperties(props); + TuningParameterUtils tuningParameterUtils = new TuningParameterUtils(); + Map confProperties = tuningParameterUtils.getHadoopProperties(props); Assert.assertTrue("Failed to get hadoop properties " + MRJobConfig.IO_SORT_MB, confProperties.containsKey(MRJobConfig.IO_SORT_MB)); Assert.assertTrue("Failed to get right value for hadoop properties " + MRJobConfig.IO_SORT_MB, @@ -92,7 +84,8 @@ public void testGetDefaultJobParameterJSON() throws IOException { props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.REDUCE_MEMORY_MB, "2048"); props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB, "2048"); - String defaultParamJSON = TuningParameterUtils.getDefaultJobParameterJSON(props); + TuningParameterUtils tuningParameterUtils = new TuningParameterUtils(); + String defaultParamJSON = tuningParameterUtils.getDefaultJobParameterJSON(props); String expectedJSON = "{\"" + MRJobConfig.IO_SORT_MB + "\":\"100\"," + "\"" + MRJobConfig.MAP_MEMORY_MB + "\":\"2048\"," + "\"" @@ -107,22 +100,16 @@ public void testUpdateAutoTuningParameters() throws ClientProtocolException, IOE String expectedJSON = "{\"" + MRJobConfig.IO_SORT_MB + "\":\"300\"," + "\"" + MRJobConfig.MAP_MEMORY_MB + "\":\"1024\"," + "\"" + MRJobConfig.REDUCE_MEMORY_MB + "\":\"1024\"," + "\"" + MRJobConfig.IO_SORT_FACTOR + "\":\"10\"}"; - PowerMockito.mockStatic(HttpClients.class); - PowerMockito.mockStatic(EntityUtils.class); CloseableHttpClient httpClient = Mockito.mock(CloseableHttpClient.class); - PowerMockito.when(HttpClients.createDefault()).thenReturn(httpClient); - PowerMockito.when(EntityUtils.toString(Matchers.any(HttpEntity.class))).thenReturn(expectedJSON); - HttpPost httpPost = Mockito.mock(HttpPost.class); CloseableHttpResponse httpResponse = Mockito.mock(CloseableHttpResponse.class); + StringEntity stringEntity = new StringEntity(expectedJSON); StatusLine statusLine = Mockito.mock(StatusLine.class); - HttpEntity httpEntity = Mockito.mock(HttpEntity.class); Mockito.when(statusLine.getStatusCode()).thenReturn(200); Mockito.when(httpResponse.getStatusLine()).thenReturn(statusLine); - Mockito.when(httpResponse.getEntity()).thenReturn(httpEntity); - Mockito.when(httpClient.execute(httpPost)).thenReturn(httpResponse); + Mockito.when(httpResponse.getEntity()).thenReturn(stringEntity); Mockito.when(httpClient.execute(Matchers.any(HttpPost.class))).thenReturn((CloseableHttpResponse) httpResponse); @@ -133,8 +120,9 @@ public void testUpdateAutoTuningParameters() throws ClientProtocolException, IOE props.put(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB, "2048"); props.put(TuningCommonConstants.TUNING_API_END_POINT, "dummy_api_end_point"); - Props passingProps=new Props(null, props); - TuningParameterUtils.updateAutoTuningParameters(passingProps); + Props passingProps = new Props(null, props); + TuningParameterUtils tuningParameterUtils = new TuningParameterUtils(httpClient); + tuningParameterUtils.updateAutoTuningParameters(passingProps); Assert.assertEquals(MRJobConfig.IO_SORT_MB + " value not correct", passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_MB), "300"); @@ -143,13 +131,14 @@ public void testUpdateAutoTuningParameters() throws ClientProtocolException, IOE Assert.assertEquals(MRJobConfig.MAP_MEMORY_MB + " value not correct", passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB), "1024"); Assert.assertEquals(MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT + " value not correct", - passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT), "0.9"); + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT), + "0.9"); Assert.assertEquals(MRJobConfig.IO_SORT_FACTOR + " value not correct", passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_FACTOR), "10"); - passingProps=new Props(null, props); + passingProps = new Props(null, props); Mockito.when(statusLine.getStatusCode()).thenReturn(300); - TuningParameterUtils.updateAutoTuningParameters(passingProps); + tuningParameterUtils.updateAutoTuningParameters(passingProps); Assert.assertEquals(MRJobConfig.IO_SORT_MB + " value not correct", passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_MB), "100"); @@ -158,7 +147,21 @@ public void testUpdateAutoTuningParameters() throws ClientProtocolException, IOE Assert.assertEquals(MRJobConfig.MAP_MEMORY_MB + " value not correct", passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB), "2048"); Assert.assertEquals(MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT + " value not correct", - passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT), "0.9"); + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT), + "0.9"); + + passingProps = new Props(null, props); + Mockito.when(statusLine.getStatusCode()).thenReturn(404); + tuningParameterUtils.updateAutoTuningParameters(passingProps); + Assert.assertEquals(MRJobConfig.IO_SORT_MB + " value not correct", + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.IO_SORT_MB), "100"); + Assert.assertEquals(MRJobConfig.REDUCE_MEMORY_MB + " value not correct", + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.REDUCE_MEMORY_MB), "2048"); + Assert.assertEquals(MRJobConfig.MAP_MEMORY_MB + " value not correct", + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.MAP_MEMORY_MB), "2048"); + Assert.assertEquals(MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT + " value not correct", + passingProps.getString(HadoopConfigurationInjector.INJECT_PREFIX + MRJobConfig.SHUFFLE_INPUT_BUFFER_PERCENT), + "0.9"); } }

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