日志
spark sql on hive安装问题解析
安装spark时，默认的spark assembly 不包含hive支持。spark官网上说明“Spark SQL also supports reading and writing data stored in Apache Hive. However, since Hive has a large number of dependencies, it is not included in the default Spark assembly.” ，要想spark sql在hive上运行，需要编辑与自己使用spark版本相同的源码，将依赖包重新打入assembly中，编译后将所需要的包加入到之前spark安装位置。
1、首先重新编译与使用版本一样的spark源码
本文hadoop版本为2.3.0-cdh5.1.2，spark版本为1.0.2。
本文是用sbt工具进行编译，也可使用maven编译。
编译过程如下：
修改spark1.0.2/project/SparkBuild.scala文件，如下：
val DEFAULT_HADOOP_VERSION = "2.3.0-cdh5.1.2"
val DEFAULT_YARN = true
val DEFAULT_HIVE = true
执行命令：sbt/bin/sbt spark1.0.2/assembly
等待编译，时间较长
编译结束后，查看spark-1.0.2/assembly/target/scala-2.10目录下，有新生成的jar包，本文生成的jar包为spark-assembly-1.0.2-hadoop2.3.0-cdh5.1.2.jar
此外，源码中spark-1.0.2/lib_managed/jars目录下也含有依赖包。
2、配置sqark sql on hive依赖包
首先执行spark-shell，查看下缺什么包。
./spark-shell \
--master yarn-client \
--driver-class-path $(echo /opt/cloudera/parcels/CDH/lib/hadoop-yarn/*.jar |sed 's/ /:/g'):/opt/cloudera/parcels/CDH-5.1.2-1.cdh5.1.2.p0.3/lib/hadoop-hdfs/hadoop-hdfs-2.3.0-cdh5.1.2.jar
然后执行hql语句
val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc)
结果出现如下错误
al sqlContext = new org.apache.spark.sql.hive.HiveContext(sc)
<console>:12: error: object hive is not a member of package org.apache.spark.sql
val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc)
从错误中可以看出是缺少org.apache.spark.sql.hive包。
此时将编译的spark-assembly-1.0.2-hadoop2.3.0-cdh5.1.2.jar包放入spark/assembly/lib目录下。
再次运行
./spark-shell \
--master yarn-client \
--driver-class-path $(echo /opt/cloudera/parcels/CDH/lib/hadoop-yarn/*.jar |sed 's/ /:/g'):/opt/cloudera/parcels/CDH-5.1.2-1.cdh5.1.2.p0.3/lib/hadoop-hdfs/hadoop-hdfs-2.3.0-cdh5.1.2.jar
之后执行语句
val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc)
之后执行语句
ERROR DDLTask: org.apache.hadoop.hive.ql.metadata.HiveException: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.metastore.HiveMetaStoreClient
at org.apache.hadoop.hive.ql.metadata.Hive.getAllDatabases(Hive.java:1074)
at org.apache.hadoop.hive.ql.exec.DDLTask.showDatabases(DDLTask.java:2198)
at org.apache.hadoop.hive.ql.exec.DDLTask.execute(DDLTask.java:328)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:151)
at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:65)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1414)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1192)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1020)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:888)
at org.apache.spark.sql.hive.HiveContext.runHive(HiveContext.scala:189)
at org.apache.spark.sql.hive.HiveContext.runSqlHive(HiveContext.scala:163)
at org.apache.spark.sql.hive.execution.NativeCommand.sideEffectResult$lzycompute(NativeCommand.scala:35)
at org.apache.spark.sql.hive.execution.NativeCommand.sideEffectResult(NativeCommand.scala:35)
at org.apache.spark.sql.hive.execution.NativeCommand.execute(NativeCommand.scala:38)
at org.apache.spark.sql.hive.HiveContext$QueryExecution.toRdd$lzycompute(HiveContext.scala:250)
at org.apache.spark.sql.hive.HiveContext$QueryExecution.toRdd(HiveContext.scala:250)
at org.apache.spark.sql.SchemaRDDLike$class.$init$(SchemaRDDLike.scala:58)
at org.apache.spark.sql.SchemaRDD.<init>(SchemaRDD.scala:104)
at org.apache.spark.sql.hive.HiveContext.hiveql(HiveContext.scala:75)
at org.apache.spark.sql.hive.HiveContext.hql(HiveContext.scala:78)
at $line9.$read$$iwC$$iwC$$iwC$$iwC.<init>(<console>:15)
at $line9.$read$$iwC$$iwC$$iwC.<init>(<console>:20)
at $line9.$read$$iwC$$iwC.<init>(<console>:22)
at $line9.$read$$iwC.<init>(<console>:24)
at $line9.$read.<init>(<console>:26)
at $line9.$read$.<init>(<console>:30)
at $line9.$read$.<clinit>(<console>)
at $line9.$eval$.<init>(<console>:7)
at $line9.$eval$.<clinit>(<console>)
at $line9.$eval.$print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:788)
at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1056)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:614)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:645)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:609)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:796)
at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:841)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:753)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:601)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:608)
at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:611)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:936)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
at org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:884)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:884)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:982)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:303)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:55)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.RuntimeException: Unable to instantiate org.apache.hadoop.hive.metastore.HiveMetaStoreClient
at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1212)
at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.<init>(RetryingMetaStoreClient.java:62)
at org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:72)
at org.apache.hadoop.hive.ql.metadata.Hive.createMetaStoreClient(Hive.java:2372)
at org.apache.hadoop.hive.ql.metadata.Hive.getMSC(Hive.java:2383)
at org.apache.hadoop.hive.ql.metadata.Hive.getAllDatabases(Hive.java:1072)
... 59 more
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:39)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:27)
at java.lang.reflect.Constructor.newInstance(Constructor.java:513)
at org.apache.hadoop.hive.metastore.MetaStoreUtils.newInstance(MetaStoreUtils.java:1210)
... 64 more
Caused by: javax.jdo.JDOFatalUserException: Class org.datanucleus.api.jdo.JDOPersistenceManagerFactory was not found.
NestedThrowables:
java.lang.ClassNotFoundException: org.datanucleus.api.jdo.JDOPersistenceManagerFactory
at javax.jdo.JDOHelper.invokeGetPersistenceManagerFactoryOnImplementation(JDOHelper.java:1175)
at javax.jdo.JDOHelper.getPersistenceManagerFactory(JDOHelper.java:808)
at javax.jdo.JDOHelper.getPersistenceManagerFactory(JDOHelper.java:701)
at org.apache.hadoop.hive.metastore.ObjectStore.getPMF(ObjectStore.java:275)
at org.apache.hadoop.hive.metastore.ObjectStore.getPersistenceManager(ObjectStore.java:304)
at org.apache.hadoop.hive.metastore.ObjectStore.initialize(ObjectStore.java:234)
at org.apache.hadoop.hive.metastore.ObjectStore.setConf(ObjectStore.java:209)
at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:73)
at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:133)
at org.apache.hadoop.hive.metastore.RetryingRawStore.<init>(RetryingRawStore.java:64)
at org.apache.hadoop.hive.metastore.RetryingRawStore.getProxy(RetryingRawStore.java:73)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.newRawStore(HiveMetaStore.java:415)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.getMS(HiveMetaStore.java:402)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.createDefaultDB(HiveMetaStore.java:441)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.init(HiveMetaStore.java:326)
at org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.<init>(HiveMetaStore.java:286)
at org.apache.hadoop.hive.metastore.RetryingHMSHandler.<init>(RetryingHMSHandler.java:54)
at org.apache.hadoop.hive.metastore.RetryingHMSHandler.getProxy(RetryingHMSHandler.java:59)
at org.apache.hadoop.hive.metastore.HiveMetaStore.newHMSHandler(HiveMetaStore.java:4060)
at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.<init>(HiveMetaStoreClient.java:121)
... 69 more
Caused by: java.lang.ClassNotFoundException: org.datanucleus.api.jdo.JDOPersistenceManagerFactory
at scala.tools.nsc.interpreter.AbstractFileClassLoader.findClass(AbstractFileClassLoader.scala:83)
at java.lang.ClassLoader.loadClass(ClassLoader.java:306)
at java.lang.ClassLoader.loadClass(ClassLoader.java:247)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:247)
at javax.jdo.JDOHelper$18.run(JDOHelper.java:2018)
at javax.jdo.JDOHelper$18.run(JDOHelper.java:2016)
at java.security.AccessController.doPrivileged(Native Method)
at javax.jdo.JDOHelper.forName(JDOHelper.java:2015)
at javax.jdo.JDOHelper.invokeGetPersistenceManagerFactoryOnImplementation(JDOHelper.java:1162)
从以上错误可以看出缺少datanucleus类jar包，将源码中spark-1.0.2/lib_managed/jars目录下的datanucleus-api-jdo-3.2.1.jar，datanucleus-core-3.2.2.jar，datanucleus-rdbms-3.2.1.jar在执行时使用--jars参数导入。
运行
./spark-shell \
--master yarn-client \
--driver-class-path $(echo /opt/cloudera/parcels/CDH/lib/hadoop-yarn/*.jar |sed 's/ /:/g'):/opt/cloudera/parcels/CDH-5.1.2-1.cdh5.1.2.p0.3/lib/hadoop-hdfs/hadoop-hdfs-2.3.0-cdh5.1.2.jar \
--jars /opt/cloudera/parcels/CDH/lib/spark/libs/datanucleus-api-jdo-3.2.1.jar,/opt/cloudera/parcels/CDH/lib/spark/libs/datanucleus-core-3.2.2.jar,/opt/cloudera/parcels/CDH/lib/spark/libs/datanucleus-rdbms-3.2.1.jar
之后执行语句
val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc)
sqlContext.hql("show databases").collect().foreach(println)
结果显示没有结果，不正确，没有读取到hive-site.xml
将hive-site.xml文件放入spark/conf目录下，重新运行
./spark-shell \
--master yarn-client \
--driver-class-path $(echo /opt/cloudera/parcels/CDH/lib/hadoop-yarn/*.jar |sed 's/ /:/g'):/opt/cloudera/parcels/CDH-5.1.2-1.cdh5.1.2.p0.3/lib/hadoop-hdfs/hadoop-hdfs-2.3.0-cdh5.1.2.jar \
--jars /opt/cloudera/parcels/CDH/lib/spark/libs/datanucleus-api-jdo-3.2.1.jar,/opt/cloudera/parcels/CDH/lib/spark/libs/datanucleus-core-3.2.2.jar,/opt/cloudera/parcels/CDH/lib/spark/libs/datanucleus-rdbms-3.2.1.jar
之后执行语句
val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc)
sqlContext.hql("show databases").collect().foreach(println)
结果显示正常，配置结束。
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