在测试hive0.14.0 on tez时遇到的问题比较多：
1.在使用cdh5.2.0+hive0.14.0+tez-0.5.0测试时，首先遇到下面的问题
java.lang.NoSuchMethodError: org.apache.tez.dag.api.client.Progress.getFailedTaskAttemptCount()I at org.apache.hadoop.hive.ql.exec.tez.TezJobMonitor.printStatusInPlace(TezJobMonitor.java:613) at org.apache.hadoop.hive.ql.exec.tez.TezJobMonitor.monitorExecution(TezJobMonitor.java:311) at org.apache.hadoop.hive.ql.exec.tez.TezTask.execute(TezTask.java:167) at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:160) at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:85) at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1604) at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1364) at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1177) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1004) at org.apache.hadoop.hive.ql.Driver.run(Driver.java:994) at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:247) at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:199) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:410) at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:783) at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:677) at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:616) 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)
通过堆栈可以看出是在tez job提交之后报的错，在org.apache.hadoop.hive.ql.exec.tez.TezTask中
job通过submit方法提交后，实例化一个TezJobMonitor 对象，用来记录tez job的运行情况:
// submit will send the job to the cluster and start executing client = submit(jobConf, dag, scratchDir, appJarLr, session, additionalLr, inputOutputJars, inputOutputLocalResources); // finally monitor will print progress until the job is done TezJobMonitor monitor = new TezJobMonitor(); rc = monitor.monitorExecution(client, ctx.getHiveTxnManager(), conf, dag);
TezJobMonitor.monitorExecution方法中：
boolean isProfileEnabled = conf.getBoolVar(conf, HiveConf.ConfVars.TEZ_EXEC_SUMMARY); //hive.tez.exec.print.summary,默认为false
boolean inPlaceUpdates = conf.getBoolVar(conf, HiveConf.ConfVars.TEZ_EXEC_INPLACE_PROGRESS); //hive.tez.exec.inplace.progress，默认为true
boolean wideTerminal = false;
boolean isTerminal = inPlaceUpdates == true ? isUnixTerminal() : false;
// we need at least 80 chars wide terminal to display in-place updates properly
if (isTerminal) {
if (getTerminalWidth() >= MIN_TERMINAL_WIDTH) {
wideTerminal = true;
}
}
boolean inPlaceEligible = false;
if (inPlaceUpdates && isTerminal && wideTerminal && !console.getIsSilent()) {
inPlaceEligible = true;
}
//进入一个while循环，判断 job的状态，并运行printStatusInPlace或者printStatus方法(其中printStatus最终调用getReport方法)
......
case RUNNING:
if (!running) {
perfLogger.PerfLogEnd(CLASS_NAME, PerfLogger.TEZ_SUBMIT_TO_RUNNING);
console.printInfo("Status: Running (" + dagClient.getExecutionContext() + ")\n");
startTime = System.currentTimeMillis();
running = true;
}
if (inPlaceEligible) {
printStatusInPlace(progressMap, startTime, false, dagClient);
// log the progress report to log file as well
lastReport = logStatus(progressMap, lastReport, console);
} else {
lastReport = printStatus(progressMap, lastReport, console);
}
break;
比如在printStatusInPlace方法中：
SortedSetkeys = new TreeSet (progressMap.keySet()); int idx = 0; int maxKeys = keys.size(); for (String s : keys) { idx++; Progress progress = progressMap.get(s); final int complete = progress.getSucceededTaskCount(); final int total = progress.getTotalTaskCount(); final int running = progress.getRunningTaskCount(); final int failed = progress.getFailedTaskAttemptCount(); // 会调用Progress类getFailedTaskAttemptCount方法获取失败的task数 final int pending = progress.getTotalTaskCount() - progress.getSucceededTaskCount() - progress.getRunningTaskCount(); final int killed = progress.getKilledTaskCount();
在0.5.0的tez中org.apache.tez.dag.api.client.Progress类没有getFailedTaskAttemptCount方法
在0.5.2的tez中才开始增加这个方法，因此要想使用hive0.14.0的话，需要使用tez-0.5.2以上的版本
2.升级至hive0.14.0+tez-0.5.2之后，发现如下错误：
15/01/13 14:09:21 INFO client.TezClient: The url to track the Tez Session: http://xxxx:8042/proxy/application_1416818587155_0049/ Exception in thread "main" java.lang.RuntimeException: org.apache.tez.dag.api.SessionNotRunning: TezSession has already shutdown at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:457) at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:672) at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:616) 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) Caused by: org.apache.tez.dag.api.SessionNotRunning: TezSession has already shutdown at org.apache.tez.client.TezClient.waitTillReady(TezClient.java:599) at org.apache.hadoop.hive.ql.exec.tez.TezSessionState.open(TezSessionState.java:212) at org.apache.hadoop.hive.ql.exec.tez.TezSessionState.open(TezSessionState.java:122) at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:454) ... 7 more
可以看到是由于在session初始化异常导致，异常是由TezSessionState.open方法抛出：
....
try {
session.waitTillReady();
} catch(InterruptedException ie) {
//ignore
}
其中session为TezClient的实例，在TezClient.waitTillReady方法中
public synchronized void waitTillReady() throws IOException, TezException, InterruptedException {
if (!isSession) {
// nothing to wait for in non-session mode
return;
}
verifySessionStateForSubmission();
while (true) {
TezAppMasterStatus status = getAppMasterStatus(); //这里getAppMasterStatus方法返回了TezAppMasterStatus.SHUTDOWN
if (status.equals(TezAppMasterStatus.SHUTDOWN)) {
throw new SessionNotRunning("TezSession has already shutdown");
}
if (status.equals(TezAppMasterStatus.READY)) {
return;
}
Thread.sleep(SLEEP_FOR_READY);
}
}
这里创建TezClient时设置了为sessionmode，并且getAppMasterStatus返回了TezAppMasterStatus.SHUTDOWN，导致在waitTillReady方法中抛出异常，即TezAppMaster没有启动正常导致，查看nm的日志，发现由如下报错：
2015-01-13 16:27:58,162 WARN org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor: Exception from container-launch with container ID: container_1416818587155_0060_01_000001 and exit code: 1 ExitCodeException exitCode=1: at org.apache.hadoop.util.Shell.runCommand(Shell.java:538) at org.apache.hadoop.util.Shell.run(Shell.java:455) at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:702) at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:196) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:299) at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81) at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:303) at java.util.concurrent.FutureTask.run(FutureTask.java:138) at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908) at java.lang.Thread.run(Thread.java:662)
是由于启动am的container异常报错，查看对应的container日志：
2015-01-13 17:34:59,731 FATAL [main] app.DAGAppMaster: Error starting DAGAppMaster java.lang.VerifyError: class org.apache.hadoop.yarn.proto.YarnProtos$ApplicationIdProto overrides final method getUnknownFields.()Lcom/google/protobuf/UnknownFieldSet; at java.lang.ClassLoader.defineClass1(Native Method) at java.lang.ClassLoader.defineClassCond(ClassLoader.java:631) at java.lang.ClassLoader.defineClass(ClassLoader.java:615) at java.security.SecureClassLoader.defineClass(SecureClassLoader.java:141) at java.net.URLClassLoader.defineClass(URLClassLoader.java:283) at java.net.URLClassLoader.access$000(URLClassLoader.java:58) at java.net.URLClassLoader$1.run(URLClassLoader.java:197) at java.security.AccessController.doPrivileged(Native Method) at java.net.URLClassLoader.findClass(URLClassLoader.java:190) at java.lang.ClassLoader.loadClass(ClassLoader.java:306) at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301) at java.lang.ClassLoader.loadClass(ClassLoader.java:247) at java.lang.Class.getDeclaredConstructors0(Native Method) at java.lang.Class.privateGetDeclaredConstructors(Class.java:2389) at java.lang.Class.getConstructor0(Class.java:2699) at java.lang.Class.getConstructor(Class.java:1657) at org.apache.hadoop.yarn.factories.impl.pb.RecordFactoryPBImpl.newRecordInstance(RecordFactoryPBImpl.java:62) at org.apache.hadoop.yarn.util.Records.newRecord(Records.java:36) at org.apache.hadoop.yarn.api.records.ApplicationId.newInstance(ApplicationId.java:49) at org.apache.hadoop.yarn.util.ConverterUtils.toApplicationAttemptId(ConverterUtils.java:137) at org.apache.hadoop.yarn.util.ConverterUtils.toContainerId(ConverterUtils.java:177) at org.apache.tez.dag.app.DAGAppMaster.main(DAGAppMaster.java:1794)
看样子是protoc-buf兼容的问题。
cdh5.2.0默认使用protobuf-java-2.5.0.jar，hive0.14.0默认使用protobuf-java-2.5.0.jar,tez 0.5.2也使用pb2.5.0编译，理论上应该不会有pb兼容性问题，怀疑是在tezam启动时加载了2.4.0a 的pb，需要查看启动命令，找到对应的classpath:
通过更改org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor类，增加Thread.sleep来查看启动am的shell，重新编译cdh5.2.0包（主要需要java7支持 range [1.7.0,1.7.1000}]，编译时跳过native: mvn package -DskipTests -Pdist -Dtar -e -X）,
并替换./share/hadoop/yarn/hadoop-yarn-server-nodemanager-2.5.0-cdh5.2.0.jar 测试：
shell的调用如下：
default_container_executor.sh-->default_container_executor_session.sh-->launch_container.sh
而在launch_container.sh脚本：
export HADOOP_COMMON_HOME="/home/vipshop/platform/hadoop-2.5.0-cdh5.2.0" #先设置相关的变量 export CLASSPATH="$PWD:$PWD/*:$HADOOP_CONF_DIR:" #这里重设了CLASSPATH export HADOOP_TOKEN_FILE_LOCATION="/home/vipshop/hard_disk/7/yarn/local/usercache/hdfs/appcache/application_1416818587155_0075/container_1416818587155_0075_01_000001/container_tokens" .... ln -sf "/home/vipshop/hard_disk/10/yarn/local/filecache/42/hadoop-yarn-api-2.5.0.jar" "hadoop-yarn-api-2.5.0.jar" #建立相关jar的软连接到本地目录 hadoop_shell_errorcode=$? if [ $hadoop_shell_errorcode -ne 0 ] then exit $hadoop_shell_errorcode fi ..... exec /bin/bash -c "$JAVA_HOME/bin/java -Xmx819m -server -Djava.net.preferIPv4Stack=true -Dhadoop.metrics.log.level=WARN -XX:+PrintGCDetails -verbose:gc -XX:+PrintGCTimeStamps -XX:+UseNUMA -XX:+UseParallelGC -Dlog4j.configuration=tez-container-log4j.properties -Dyarn.app.container.log.dir=/home/vipshop/hard_disk/9/yarn/logs/ application_1416818587155_0075/container_1416818587155_0075_01_000001 -Dtez.root.logger=INFO,CLA -Dsun.nio.ch.bugLevel='' org.apache.tez.dag.app.DAGAppMaster --session 1>/home/vipshop/hard_disk/9/ yarn/logs/application_1416818587155_0075/container_1416818587155_0075_01_000001/ stdout 2>/home/vipshop/hard_disk/9/yarn/logs/application_1416818587155_0075/ container_1416818587155_0075_01_000001/stderr "
#最后运行 java org.apache.tez.dag.app.DAGAppMaster,即 org.apache.tez.dag.app.DAGAppMaster的main方法，启动DAGAppMaster
CLASSPATH为shell所在的目录,比如这里
CLASSPATH='/home/vipshop/hard_disk/11/yarn/local/usercache/hdfs/appcache/ application_1416818587155_0079/container_1416818587155_0079_01_000001: /home/vipshop/hard_disk/11/yarn/local/usercache/hdfs/appcache/ application_1416818587155_0079/container_1416818587155_0079_01_000001/*: /home/vipshop/conf:'
在shell的当前目录下查找包含pb的包，发现有一个hive-solr中集成了pb，并且查看到其pb版本为2.4.0a：
for i in `find . -name "*.jar"`; do echo $i `jar -tvf $i|grep GeneratedMessage|wc -l`; done|awk '{if($2>0) print}'
./protobuf-java-2.5.0.jar 31 //2.5.0
./hive-exec-0.14.0-dfffe4217f40bd764977b741ad970a562e07fb9×××f0180620bd13f68a2577b.jar 31 //2.5.0
./hive-solr-0.0.1-SNAPSHOT-jar-with-dependencies.jar //2.4.0a
这就导致在container启动时，classloader加载到了2.4.0a的pb，最终导致container启动失败。使用2.5.0的pb重新编译这个jar包后，hive on tez就运行正常了。