hive on tez踩坑记1-hive0.13 on tez

 最近集群准备升级到cdh5.2.0，并使用tez，在测试集群cdh5.2.0已经稳定运行了很长时间，因此开始折腾hive on tez了，期间遇到不少问题，这里记录下。

hive on tez的部署比较简单，可以参考wiki.主要注意几个地方

1.编译的时候

mvn clean  package  -Dtar -DskipTests= true  -Dmaven.javadoc.skip= true

2.需要将tez相关的包upload到hdfs中，并设置tez-site.xml

    tez.lib.uris< /name >
    ${fs.defaultFS} /tez ,${fs.defaultFS} /tez/lib < /value >
  < /property >

设置mapred-site.xml

      mapreduce.framework.name< /name >
      yarn-tez< /value >
  < /property >

3.注意更新hadoop-env.sh中classpath的设置

export  TEZ_HOME= /home/vipshop/platform/tez
for  jar  in  ` ls  $TEZ_HOME | grep  jar`;  do
    export  HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$TEZ_HOME/$jar
done
for  jar  in  ` ls  $TEZ_HOME /lib `;  do
    export  HADOOP_CLASSPATH=$HADOOP_CLASSPATH:$TEZ_HOME /lib/ $jar
done

否则会报如下错误（加载不到对应的tez相关类，导致Cluster 初始化时失败）:

java.io.IOException: Cannot initialize Cluster. Please check your configuration  for  mapreduce.framework.name and the correspond server addresses.
        at org.apache.hadoop.mapreduce.Cluster.initialize(Cluster.java:120)
        at org.apache.hadoop.mapreduce.Cluster.(Cluster.java:82)
        at org.apache.hadoop.mapreduce.Cluster.(Cluster.java:75)
        at org.apache.hadoop.mapreduce.Job$9.run(Job.java:1265)
        at org.apache.hadoop.mapreduce.Job$9.run(Job.java:1261)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:396)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1614)
        at org.apache.hadoop.mapreduce.Job.connect(Job.java:1260)
        at org.apache.hadoop.mapreduce.Job.submit(Job.java:1289)
        at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1313)
        at org.apache.hadoop.mapreduce.SleepJob.run(SleepJob.java:261)
        at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
        at org.apache.hadoop.mapreduce.SleepJob.main(SleepJob.java:194)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
        at java.lang.reflect.Method.invoke(Method.java:597)
        at org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:72)
        at org.apache.hadoop.util.ProgramDriver.run(ProgramDriver.java:145)
        at org.apache.hadoop. test .MapredTestDriver.run(MapredTestDriver.java:118)
        at org.apache.hadoop. test .MapredTestDriver.main(MapredTestDriver.java:126)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
        at java.lang.reflect.Method.invoke(Method.java:597)
        at org.apache.hadoop.util.RunJar.main(RunJar.java:212)

部署完毕后，使用hadoop jar提交tez job运行正常，测试hive on tez:

hive -hiveconf hive.execution.engine=tez -hiveconf hive.root.logger=DEBUG,console

出现如下报错：

Exception  in  thread  "main"  java.lang.NoSuchMethodError:
org.apache.tez.mapreduce.hadoop.MRHelpers.updateEnvironmentForMRAM(Lorg /apache/hadoop/conf/Configuration ;Ljava /util/Map ;)V
        at org.apache.hadoop.hive.ql. exec .tez.TezSessionState. open (TezSessionState.java:182)
        at org.apache.hadoop.hive.ql. exec .tez.TezSessionState. open (TezSessionState.java:123)
        at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:355)
        at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:681)
        at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:625)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
        at java.lang.reflect.Method.invoke(Method.java:597)
        at org.apache.hadoop.util.RunJar.main(RunJar.java:212)

从堆栈上来看是由于session初始化异常导致，

org.apache.hadoop.hive.cli.CliDriver.main->org.apache.hadoop.hive.cli.CliDriver.run->
org.apache.hadoop.hive.ql.session.SessionState.start

在SessionState.start方法中:

 if  (HiveConf.getVar(startSs.getConf(), HiveConf.ConfVars.HIVE_EXECUTION_ENGINE)
        .equals(  "tez" ) && (startSs.isHiveServerQuery ==  false )) {  //如果设置hive.execution.engine为tez（默认为mr）
      try  {
        if  (startSs.tezSessionState ==  null ) {
          startSs.tezSessionState =  new  TezSessionState(startSs.getSessionId());  //实例化一个TezSessionState对象
        }
        startSs.tezSessionState.open(startSs.conf );  //调用TezSessionState.open方法
      }  catch  (Exception e) {
        throw  new  RuntimeException(e);
      }
    }  else  {
      LOG.info(  "No Tez session required at this point. hive.execution.engine=mr." );
    }

TezSessionState.open中，首先使用createTezDir创建临时文件目录

    // create the tez tmp dir
    tezScratchDir = createTezDir(sessionId);
    String dir = tezScratchDir.toString();
    // Localize resources to session scratch dir
    localizedResources = utils.localizeTempFilesFromConf(dir, conf);  //DagUtils.localizeTempFilesFromConf方法
    List handlerLr = utils.localizeTempFiles(dir, conf, additionalFiles);  // DagUtils.localizeTempFiles方法
    if  (handlerLr !=  null ) {
      if  (localizedResources ==  null ) {
        localizedResources = handlerLr;
      }  else  {
        localizedResources.addAll(handlerLr);
      }
      additionalFilesNotFromConf =  new  HashSet();
      for  (String originalFile : additionalFiles) {
        additionalFilesNotFromConf.add(originalFile);
      }
    }
    // generate basic tez config
    TezConfiguration tezConfig =  new  TezConfiguration(conf);  //然后实例化一个TezConfiguration对象
    tezConfig.set(TezConfiguration.TEZ_AM_STAGING_DIR, tezScratchDir.toUri().toString());  //设置tez的staging目录，设置项为tez.staging-dir，默认值为/tmp/tez/staging
//这里默认最终为"/tmp/hive-" + System. getProperty( "user.name")/_tez_session_dir/sessionId
     appJarLr = createJarLocalResource(utils.getExecJarPathLocal());  //localize hive-exec.jar
    // configuration for the application master
    Map commonLocalResources =  new  HashMap();
    commonLocalResources.put( utils.getBaseName( appJarLr), appJarLr );
    if  (localizedResources !=  null ) {
      for  (LocalResource lr : localizedResources) {
        commonLocalResources.put( utils.getBaseName(lr), lr);
      }
    }
    // Create environment for AM.
    Map amEnv =  new  HashMap();
    MRHelpers.updateEnvironmentForMRAM(conf, amEnv);  //调用MRHelpers类的updateEnvironmentForMRAM方法

对于org.apache.tez.mapreduce.hadoop.MRHelpers类来说，在0.5.0中，这个updateEnvironmentForMRAM方法是不存在的，对应存在updateEnvBasedOnMRTaskEnv（配置Mappers和Reducers的环境变量）和updateEnvBasedOnMRAMEnv（配置am的环境变量）

public  static  void  updateEnvBasedOnMRAMEnv(Configuration conf, Map environment) {
  TezYARNUtils.appendToEnvFromInputString(environment, conf.get(MRJobConfig.MR_AM_ADMIN_USER_ENV),
      File.pathSeparator);
  TezYARNUtils.appendToEnvFromInputString(environment, conf.get(MRJobConfig.MR_AM_ENV),
      File.pathSeparator);
}

而在0.4.1-incubating中是有updateEnvironmentForMRAM这个方法的：

public  static  void  updateEnvironmentForMRAM(Configuration conf, Map environment) {
  TezYARNUtils.setEnvFromInputString(environment, conf.get(MRJobConfig.MR_AM_ADMIN_USER_ENV),
    File.pathSeparator);
  TezYARNUtils.setEnvFromInputString(environment, conf.get(MRJobConfig.MR_AM_ENV),
    File.pathSeparator);
}

对应的hive中：
hive0.13中：

    // Create environment for AM.
    Map amEnv =  new  HashMap();
    MRHelpers.updateEnvironmentForMRAM(conf, amEnv);

hive0.14中：

    // Create environment for AM.
     Map amEnv =  new  HashMap();
     MRHelpers.updateEnvBasedOnMRAMEnv(conf, amEnv);

可以看到0.4.x到0.5.x版本的tez api变动比较大，0.5.x的tez已经和hive0.13.x不能兼容了，要想使用tez-0.5.x版本，必须使用hive0.14.x版本。         
在github下载hive0.14的源码，编译并测试运行hive on tez:
https://codeload.github.com/apache/hive/zip/branch-0.14

mvn clean  package  -DskipTests -Phadoop- 2  -Pdist

本文转自菜菜光 51CTO博客，原文链接：http://blog.51cto.com/caiguangguang/1604087，如需转载请自行联系原作者