标签：hive0.13 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
<property>
<name>tez.lib.uris</name>
<value>${fs.defaultFS}/tez,${fs.defaultFS}/tez/lib</value>
</property>设置mapred-site.xml
<property> <name>mapreduce.framework.name</name> <value>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.<init>(Cluster.java:82) at org.apache.hadoop.mapreduce.Cluster.<init>(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<LocalResource> 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<String>();
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<String, LocalResource> commonLocalResources = new HashMap<String, LocalResource>();
commonLocalResources.put( utils.getBaseName( appJarLr), appJarLr );
if (localizedResources != null) {
for (LocalResource lr : localizedResources) {
commonLocalResources.put( utils.getBaseName(lr), lr);
}
}
// Create environment for AM.
Map<String, String> amEnv = new HashMap<String, String>();
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<String, String> 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<String, String> 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<String, String> amEnv = new HashMap<String, String>(); MRHelpers.updateEnvironmentForMRAM(conf, amEnv);
hive0.14中：
// Create environment for AM. Map<String, String> amEnv = new HashMap<String, String>(); 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
本文出自 “菜光光的博客” 博客，请务必保留此出处http://caiguangguang.blog.51cto.com/1652935/1604087
hive on tez踩坑记1-hive0.13 on tez
标签：hive0.13 tez
原文地址：http://caiguangguang.blog.51cto.com/1652935/1604087
