Spark创建HiveContext报错tez的问题

java.lang.NoClassDefFoundError: org/apache/tez/dag/api/SessionNotRunning

报错信息

Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/tez/dag/api/SessionNotRunning
	at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:529)
	at org.apache.spark.sql.hive.client.ClientWrapper.<init>(ClientWrapper.scala:204)
	at org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedClientLoader.scala:238)
	at org.apache.spark.sql.hive.HiveContext.executionHive$lzycompute(HiveContext.scala:218)
	at org.apache.spark.sql.hive.HiveContext.executionHive(HiveContext.scala:208)
	at org.apache.spark.sql.hive.HiveContext.setConf(HiveContext.scala:440)
	at org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:272)
	at org.apache.spark.sql.SQLContext$$anonfun$4.apply(SQLContext.scala:271)
	at scala.collection.Iterator$class.foreach(Iterator.scala:727)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
	at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
	at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
	at org.apache.spark.sql.SQLContext.<init>(SQLContext.scala:271)
	at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:90)
	at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:101)
	at com.winner.clu.spark.batch.analysis.AccPresetConditionData.mainFun(AccPresetConditionData.scala:60)
	at com.winner.clu.spark.batch.BatchJobMain$.main(BatchJobMain.scala:53)
	at com.winner.clu.spark.batch.BatchJobMain.main(BatchJobMain.scala)
Caused by: java.lang.ClassNotFoundException: org.apache.tez.dag.api.SessionNotRunning
	at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
	at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:349)
	at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
	... 18 more

问题描述

idea在进行本地程序调试的时候，创建HiveContext时报错，tez包的问题

问题原因

本地开发在hive-site.xml 需要将tez的引擎替换掉

处理方案

更改hive-site.xml中的tez引擎为spark或mr,如下图：