Did you try copy it to spark/conf dir? On 30 Oct 2015 1:42 am, "Zoltan Fedor" <zoltan.0.fe...@gmail.com> wrote:
> There is /user/biapp in hdfs. The problem is that the hive-site.xml is > being ignored, so it is looking for it locally. > > On Thu, Oct 29, 2015 at 10:40 AM, Kai Wei <kai.wei...@gmail.com> wrote: > >> Create /user/biapp in hdfs manually first. >> On 30 Oct 2015 1:36 am, "Zoltan Fedor" <zoltan.0.fe...@gmail.com> wrote: >> >>> Sure, I did it with spark-shell, which seems to be showing the same >>> error - not using the hive-site.xml >>> >>> >>> $ HADOOP_CONF_DIR=$SPARK_HOME/hadoop-conf >>> YARN_CONF_DIR=$SPARK_HOME/yarn-conf HADOOP_USER_NAME=biapp MASTER=yarn >>> $SPARK_HOME/bin/pyspark --deploy-mode client --driver-class-path >>> $HIVE_CLASSPATH >>> Python 2.6.6 (r266:84292, Jul 23 2015, 05:13:40) >>> [GCC 4.4.7 20120313 (Red Hat 4.4.7-16)] on linux2 >>> Type "help", "copyright", "credits" or "license" for more information. >>> SLF4J: Class path contains multiple SLF4J bindings. >>> SLF4J: Found binding in >>> [jar:file:/usr/lib/spark-1.5.1-bin-without-hadoop/lib/spark-assembly-1.5.1-hadoop2.5.0-cdh5.3.3.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>> SLF4J: Found binding in >>> [jar:file:/usr/lib/zookeeper/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>> SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an >>> explanation. >>> SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] >>> 15/10/29 10:33:20 WARN MetricsSystem: Using default name DAGScheduler >>> for source because spark.app.id is not set. >>> 15/10/29 10:33:22 WARN NativeCodeLoader: Unable to load native-hadoop >>> library for your platform... using builtin-java classes where applicable >>> 15/10/29 10:33:50 WARN HiveConf: HiveConf of name hive.metastore.local >>> does not exist >>> Welcome to >>> ____ __ >>> / __/__ ___ _____/ /__ >>> _\ \/ _ \/ _ `/ __/ '_/ >>> /__ / .__/\_,_/_/ /_/\_\ version 1.5.1 >>> /_/ >>> >>> Using Python version 2.6.6 (r266:84292, Jul 23 2015 05:13:40) >>> SparkContext available as sc, HiveContext available as sqlContext. >>> >>> >>> biapps@biapps-qa01:~> HADOOP_CONF_DIR=$SPARK_HOME/hadoop-conf >>> YARN_CONF_DIR=$SPARK_HOME/yarn-conf HADOOP_USER_NAME=biapp MASTER=yarn >>> $SPARK_HOME/bin/spark-shell --deploy-mode client >>> SLF4J: Class path contains multiple SLF4J bindings. >>> SLF4J: Found binding in >>> [jar:file:/usr/lib/spark-1.5.1-bin-without-hadoop/lib/spark-assembly-1.5.1-hadoop2.5.0-cdh5.3.3.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>> SLF4J: Found binding in >>> [jar:file:/usr/lib/zookeeper/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>> SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an >>> explanation. >>> SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] >>> Welcome to >>> ____ __ >>> / __/__ ___ _____/ /__ >>> _\ \/ _ \/ _ `/ __/ '_/ >>> /___/ .__/\_,_/_/ /_/\_\ version 1.5.1 >>> /_/ >>> >>> Using Scala version 2.10.4 (OpenJDK 64-Bit Server VM, Java 1.7.0_91) >>> Type in expressions to have them evaluated. >>> Type :help for more information. >>> 15/10/29 10:34:15 WARN MetricsSystem: Using default name DAGScheduler >>> for source because spark.app.id is not set. >>> 15/10/29 10:34:16 WARN NativeCodeLoader: Unable to load native-hadoop >>> library for your platform... using builtin-java classes where applicable >>> Spark context available as sc. >>> 15/10/29 10:34:46 WARN HiveConf: HiveConf of name hive.metastore.local >>> does not exist >>> 15/10/29 10:34:46 WARN ShellBasedUnixGroupsMapping: got exception trying >>> to get groups for user biapp: id: biapp: No such user >>> >>> 15/10/29 10:34:46 WARN UserGroupInformation: No groups available for >>> user biapp >>> java.lang.RuntimeException: >>> org.apache.hadoop.security.AccessControlException: Permission denied: >>> user=biapp, access=WRITE, inode="/user":hdfs:supergroup:drwxr-xr-x >>> at >>> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.checkFsPermission(DefaultAuthorizationProvider.java:257) >>> at >>> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.check(DefaultAuthorizationProvider.java:238) >>> at >>> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.check(DefaultAuthorizationProvider.java:216) >>> at >>> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.checkPermission(DefaultAuthorizationProvider.java:145) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:138) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6287) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6269) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkAncestorAccess(FSNamesystem.java:6221) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInternal(FSNamesystem.java:4088) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInt(FSNamesystem.java:4058) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:4031) >>> at >>> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.mkdirs(NameNodeRpcServer.java:788) >>> at >>> org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.mkdirs(AuthorizationProviderProxyClientProtocol.java:297) >>> at >>> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.mkdirs(ClientNamenodeProtocolServerSideTranslatorPB.java:594) >>> at >>> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java) >>> at >>> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:587) >>> at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026) >>> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013) >>> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009) >>> at java.security.AccessController.doPrivileged(Native Method) >>> at javax.security.auth.Subject.doAs(Subject.java:422) >>> at >>> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1642) >>> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007) >>> >>> at >>> org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:522) >>> at >>> org.apache.spark.sql.hive.client.ClientWrapper.<init>(ClientWrapper.scala:171) >>> at >>> org.apache.spark.sql.hive.HiveContext.executionHive$lzycompute(HiveContext.scala:162) >>> at >>> org.apache.spark.sql.hive.HiveContext.executionHive(HiveContext.scala:160) >>> at org.apache.spark.sql.hive.HiveContext.<init>(HiveContext.scala:167) >>> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) >>> at >>> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57) >>> at >>> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) >>> at java.lang.reflect.Constructor.newInstance(Constructor.java:526) >>> at >>> org.apache.spark.repl.SparkILoop.createSQLContext(SparkILoop.scala:1028) >>> at $iwC$$iwC.<init>(<console>:9) >>> at $iwC.<init>(<console>:18) >>> at <init>(<console>:20) >>> at .<init>(<console>:24) >>> at .<clinit>(<console>) >>> at .<init>(<console>:7) >>> at .<clinit>(<console>) >>> at $print(<console>) >>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >>> at >>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >>> at >>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>> at java.lang.reflect.Method.invoke(Method.java:606) >>> at >>> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065) >>> at >>> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340) >>> at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840) >>> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871) >>> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819) >>> at >>> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857) >>> at >>> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902) >>> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814) >>> at >>> org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:132) >>> at >>> org.apache.spark.repl.SparkILoopInit$$anonfun$initializeSpark$1.apply(SparkILoopInit.scala:124) >>> at org.apache.spark.repl.SparkIMain.beQuietDuring(SparkIMain.scala:324) >>> at >>> org.apache.spark.repl.SparkILoopInit$class.initializeSpark(SparkILoopInit.scala:124) >>> at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:64) >>> at >>> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1$$anonfun$apply$mcZ$sp$5.apply$mcV$sp(SparkILoop.scala:974) >>> at >>> org.apache.spark.repl.SparkILoopInit$class.runThunks(SparkILoopInit.scala:159) >>> at org.apache.spark.repl.SparkILoop.runThunks(SparkILoop.scala:64) >>> at >>> org.apache.spark.repl.SparkILoopInit$class.postInitialization(SparkILoopInit.scala:108) >>> at >>> org.apache.spark.repl.SparkILoop.postInitialization(SparkILoop.scala:64) >>> at >>> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:991) >>> at >>> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) >>> at >>> org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) >>> at >>> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) >>> at org.apache.spark.repl.SparkILoop.org >>> $apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945) >>> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059) >>> at org.apache.spark.repl.Main$.main(Main.scala:31) >>> at org.apache.spark.repl.Main.main(Main.scala) >>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >>> at >>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >>> at >>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>> at java.lang.reflect.Method.invoke(Method.java:606) >>> at >>> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672) >>> at >>> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180) >>> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205) >>> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120) >>> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) >>> Caused by: org.apache.hadoop.security.AccessControlException: Permission >>> denied: user=biapp, access=WRITE, inode="/user":hdfs:supergroup:drwxr-xr-x >>> at >>> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.checkFsPermission(DefaultAuthorizationProvider.java:257) >>> at >>> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.check(DefaultAuthorizationProvider.java:238) >>> at >>> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.check(DefaultAuthorizationProvider.java:216) >>> at >>> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.checkPermission(DefaultAuthorizationProvider.java:145) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:138) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6287) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6269) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkAncestorAccess(FSNamesystem.java:6221) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInternal(FSNamesystem.java:4088) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInt(FSNamesystem.java:4058) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:4031) >>> at >>> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.mkdirs(NameNodeRpcServer.java:788) >>> at >>> org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.mkdirs(AuthorizationProviderProxyClientProtocol.java:297) >>> at >>> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.mkdirs(ClientNamenodeProtocolServerSideTranslatorPB.java:594) >>> at >>> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java) >>> at >>> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:587) >>> at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026) >>> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013) >>> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009) >>> at java.security.AccessController.doPrivileged(Native Method) >>> at javax.security.auth.Subject.doAs(Subject.java:422) >>> at >>> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1642) >>> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007) >>> >>> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) >>> at >>> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57) >>> at >>> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) >>> at java.lang.reflect.Constructor.newInstance(Constructor.java:526) >>> at >>> org.apache.hadoop.ipc.RemoteException.instantiateException(RemoteException.java:106) >>> at >>> org.apache.hadoop.ipc.RemoteException.unwrapRemoteException(RemoteException.java:73) >>> at org.apache.hadoop.hdfs.DFSClient.primitiveMkdir(DFSClient.java:2689) >>> at org.apache.hadoop.hdfs.DFSClient.mkdirs(DFSClient.java:2658) >>> at >>> org.apache.hadoop.hdfs.DistributedFileSystem$16.doCall(DistributedFileSystem.java:831) >>> at >>> org.apache.hadoop.hdfs.DistributedFileSystem$16.doCall(DistributedFileSystem.java:827) >>> at >>> org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81) >>> at >>> org.apache.hadoop.hdfs.DistributedFileSystem.mkdirsInternal(DistributedFileSystem.java:827) >>> at >>> org.apache.hadoop.hdfs.DistributedFileSystem.mkdirs(DistributedFileSystem.java:820) >>> at >>> org.apache.hadoop.hive.ql.exec.Utilities.createDirsWithPermission(Utilities.java:3679) >>> at >>> org.apache.hadoop.hive.ql.session.SessionState.createRootHDFSDir(SessionState.java:597) >>> at >>> org.apache.hadoop.hive.ql.session.SessionState.createSessionDirs(SessionState.java:554) >>> at >>> org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:508) >>> ... 56 more >>> Caused by: >>> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.AccessControlException): >>> Permission denied: user=biapp, access=WRITE, >>> inode="/user":hdfs:supergroup:drwxr-xr-x >>> at >>> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.checkFsPermission(DefaultAuthorizationProvider.java:257) >>> at >>> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.check(DefaultAuthorizationProvider.java:238) >>> at >>> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.check(DefaultAuthorizationProvider.java:216) >>> at >>> org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.checkPermission(DefaultAuthorizationProvider.java:145) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.checkPermission(FSPermissionChecker.java:138) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6287) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkPermission(FSNamesystem.java:6269) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.checkAncestorAccess(FSNamesystem.java:6221) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInternal(FSNamesystem.java:4088) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirsInt(FSNamesystem.java:4058) >>> at >>> org.apache.hadoop.hdfs.server.namenode.FSNamesystem.mkdirs(FSNamesystem.java:4031) >>> at >>> org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.mkdirs(NameNodeRpcServer.java:788) >>> at >>> org.apache.hadoop.hdfs.server.namenode.AuthorizationProviderProxyClientProtocol.mkdirs(AuthorizationProviderProxyClientProtocol.java:297) >>> at >>> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.mkdirs(ClientNamenodeProtocolServerSideTranslatorPB.java:594) >>> at >>> org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java) >>> at >>> org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:587) >>> at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:1026) >>> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2013) >>> at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2009) >>> at java.security.AccessController.doPrivileged(Native Method) >>> at javax.security.auth.Subject.doAs(Subject.java:422) >>> at >>> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1642) >>> at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2007) >>> >>> at org.apache.hadoop.ipc.Client.call(Client.java:1411) >>> at org.apache.hadoop.ipc.Client.call(Client.java:1364) >>> at >>> org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:206) >>> at com.sun.proxy.$Proxy14.mkdirs(Unknown Source) >>> at >>> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.mkdirs(ClientNamenodeProtocolTranslatorPB.java:531) >>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >>> at >>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >>> at >>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) >>> at java.lang.reflect.Method.invoke(Method.java:606) >>> at >>> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:187) >>> at >>> org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102) >>> at com.sun.proxy.$Proxy15.mkdirs(Unknown Source) >>> at org.apache.hadoop.hdfs.DFSClient.primitiveMkdir(DFSClient.java:2687) >>> ... 66 more >>> >>> <console>:10: error: not found: value sqlContext >>> import sqlContext.implicits._ >>> ^ >>> <console>:10: error: not found: value sqlContext >>> import sqlContext.sql >>> ^ >>> >>> scala> sqlContext.sql("show databases").collect >>> <console>:14: error: not found: value sqlContext >>> sqlContext.sql("show databases").collect >>> ^ >>> >>> scala> >>> >>> On Thu, Oct 29, 2015 at 10:26 AM, Deenar Toraskar < >>> deenar.toras...@gmail.com> wrote: >>> >>>> I dont know a lot about how pyspark works. Can you possibly try running >>>> spark-shell and do the same? >>>> >>>> sqlContext.sql("show databases").collect >>>> >>>> Deenar >>>> >>>> On 29 October 2015 at 14:18, Zoltan Fedor <zoltan.0.fe...@gmail.com> >>>> wrote: >>>> >>>>> Yes, I am. It was compiled with the following: >>>>> >>>>> export SPARK_HADOOP_VERSION=2.5.0-cdh5.3.3 >>>>> export SPARK_YARN=true >>>>> export SPARK_HIVE=true >>>>> export MAVEN_OPTS="-Xmx2g -XX:MaxPermSize=512M >>>>> -XX:ReservedCodeCacheSize=512m" >>>>> mvn -Pyarn -Phadoop-2.5 -Dhadoop.version=2.5.0-cdh5.3.3 -Phive >>>>> -Phive-thriftserver -DskipTests clean package >>>>> >>>>> On Thu, Oct 29, 2015 at 10:16 AM, Deenar Toraskar < >>>>> deenar.toras...@gmail.com> wrote: >>>>> >>>>>> Are you using Spark built with hive ? >>>>>> >>>>>> # Apache Hadoop 2.4.X with Hive 13 support >>>>>> mvn -Pyarn -Phadoop-2.6 -Dhadoop.version=2.6.0 -Phive >>>>>> -Phive-thriftserver -DskipTests clean package >>>>>> >>>>>> >>>>>> On 29 October 2015 at 13:08, Zoltan Fedor <zoltan.0.fe...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> Hi Deenar, >>>>>>> As suggested, I have moved the hive-site.xml from HADOOP_CONF_DIR >>>>>>> ($SPARK_HOME/hadoop-conf) to YARN_CONF_DIR ($SPARK_HOME/conf/yarn-conf) >>>>>>> and >>>>>>> use the below to start pyspark, but the error is the exact same as >>>>>>> before. >>>>>>> >>>>>>> $ HADOOP_CONF_DIR=$SPARK_HOME/hadoop-conf >>>>>>> YARN_CONF_DIR=$SPARK_HOME/conf/yarn-conf HADOOP_USER_NAME=biapp >>>>>>> MASTER=yarn >>>>>>> $SPARK_HOME/bin/pyspark --deploy-mode client >>>>>>> >>>>>>> Python 2.6.6 (r266:84292, Jul 23 2015, 05:13:40) >>>>>>> [GCC 4.4.7 20120313 (Red Hat 4.4.7-16)] on linux2 >>>>>>> Type "help", "copyright", "credits" or "license" for more >>>>>>> information. >>>>>>> SLF4J: Class path contains multiple SLF4J bindings. >>>>>>> SLF4J: Found binding in >>>>>>> [jar:file:/usr/lib/spark-1.5.1-bin-without-hadoop/lib/spark-assembly-1.5.1-hadoop2.5.0-cdh5.3.3.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>>> SLF4J: Found binding in >>>>>>> [jar:file:/usr/lib/zookeeper/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>>> SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an >>>>>>> explanation. >>>>>>> SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] >>>>>>> 15/10/29 09:06:36 WARN MetricsSystem: Using default name >>>>>>> DAGScheduler for source because spark.app.id is not set. >>>>>>> 15/10/29 09:06:38 WARN NativeCodeLoader: Unable to load >>>>>>> native-hadoop library for your platform... using builtin-java classes >>>>>>> where >>>>>>> applicable >>>>>>> 15/10/29 09:07:03 WARN HiveConf: HiveConf of name >>>>>>> hive.metastore.local does not exist >>>>>>> Welcome to >>>>>>> ____ __ >>>>>>> / __/__ ___ _____/ /__ >>>>>>> _\ \/ _ \/ _ `/ __/ '_/ >>>>>>> /__ / .__/\_,_/_/ /_/\_\ version 1.5.1 >>>>>>> /_/ >>>>>>> >>>>>>> Using Python version 2.6.6 (r266:84292, Jul 23 2015 05:13:40) >>>>>>> SparkContext available as sc, HiveContext available as sqlContext. >>>>>>> >>> sqlContext2 = HiveContext(sc) >>>>>>> >>> sqlContext2 = HiveContext(sc) >>>>>>> >>> sqlContext2.sql("show databases").first() >>>>>>> 15/10/29 09:07:34 WARN HiveConf: HiveConf of name >>>>>>> hive.metastore.local does not exist >>>>>>> 15/10/29 09:07:35 WARN ShellBasedUnixGroupsMapping: got exception >>>>>>> trying to get groups for user biapp: id: biapp: No such user >>>>>>> >>>>>>> 15/10/29 09:07:35 WARN UserGroupInformation: No groups available for >>>>>>> user biapp >>>>>>> Traceback (most recent call last): >>>>>>> File "<stdin>", line 1, in <module> >>>>>>> File >>>>>>> "/usr/lib/spark-1.5.1-bin-without-hadoop/python/pyspark/sql/context.py", >>>>>>> line 552, in sql >>>>>>> return DataFrame(self._ssql_ctx.sql(sqlQuery), self) >>>>>>> File >>>>>>> "/usr/lib/spark-1.5.1-bin-without-hadoop/python/pyspark/sql/context.py", >>>>>>> line 660, in _ssql_ctx >>>>>>> "build/sbt assembly", e) >>>>>>> Exception: ("You must build Spark with Hive. Export >>>>>>> 'SPARK_HIVE=true' and run build/sbt assembly", Py4JJavaError(u'An error >>>>>>> occurred while calling None.org.apache.spark.sql.hive.HiveContext.\n', >>>>>>> JavaObject id=o20)) >>>>>>> >>> >>>>>>> >>>>>>> >>>>>>> On Thu, Oct 29, 2015 at 7:20 AM, Deenar Toraskar < >>>>>>> deenar.toras...@gmail.com> wrote: >>>>>>> >>>>>>>> *Hi Zoltan* >>>>>>>> >>>>>>>> Add hive-site.xml to your YARN_CONF_DIR. i.e. >>>>>>>> $SPARK_HOME/conf/yarn-conf >>>>>>>> >>>>>>>> Deenar >>>>>>>> >>>>>>>> *Think Reactive Ltd* >>>>>>>> deenar.toras...@thinkreactive.co.uk >>>>>>>> 07714140812 >>>>>>>> >>>>>>>> On 28 October 2015 at 14:28, Zoltan Fedor <zoltan.0.fe...@gmail.com >>>>>>>> > wrote: >>>>>>>> >>>>>>>>> Hi, >>>>>>>>> We have a shared CDH 5.3.3 cluster and trying to use Spark 1.5.1 >>>>>>>>> on it in yarn client mode with Hive. >>>>>>>>> >>>>>>>>> I have compiled Spark 1.5.1 with SPARK_HIVE=true, but it seems I >>>>>>>>> am not able to make SparkSQL to pick up the hive-site.xml when runnig >>>>>>>>> pyspark. >>>>>>>>> >>>>>>>>> hive-site.xml is located in $SPARK_HOME/hadoop-conf/hive-site.xml >>>>>>>>> and also in $SPARK_HOME/conf/hive-site.xml >>>>>>>>> >>>>>>>>> When I start pyspark with the below command and then run some >>>>>>>>> simple SparkSQL it fails, it seems it didn't pic up the settings in >>>>>>>>> hive-site.xml >>>>>>>>> >>>>>>>>> $ HADOOP_CONF_DIR=$SPARK_HOME/hadoop-conf >>>>>>>>> YARN_CONF_DIR=$SPARK_HOME/yarn-conf HADOOP_USER_NAME=biapp MASTER=yarn >>>>>>>>> $SPARK_HOME/bin/pyspark --deploy-mode client >>>>>>>>> >>>>>>>>> Python 2.6.6 (r266:84292, Jul 23 2015, 05:13:40) >>>>>>>>> [GCC 4.4.7 20120313 (Red Hat 4.4.7-16)] on linux2 >>>>>>>>> Type "help", "copyright", "credits" or "license" for more >>>>>>>>> information. >>>>>>>>> SLF4J: Class path contains multiple SLF4J bindings. >>>>>>>>> SLF4J: Found binding in >>>>>>>>> [jar:file:/usr/lib/spark-1.5.1-bin-without-hadoop/lib/spark-assembly-1.5.1-hadoop2.5.0-cdh5.3.3.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>>>>> SLF4J: Found binding in >>>>>>>>> [jar:file:/usr/lib/zookeeper/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class] >>>>>>>>> SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for >>>>>>>>> an explanation. >>>>>>>>> SLF4J: Actual binding is of type >>>>>>>>> [org.slf4j.impl.Log4jLoggerFactory] >>>>>>>>> 15/10/28 10:22:33 WARN MetricsSystem: Using default name >>>>>>>>> DAGScheduler for source because spark.app.id is not set. >>>>>>>>> 15/10/28 10:22:35 WARN NativeCodeLoader: Unable to load >>>>>>>>> native-hadoop library for your platform... using builtin-java classes >>>>>>>>> where >>>>>>>>> applicable >>>>>>>>> 15/10/28 10:22:59 WARN HiveConf: HiveConf of name >>>>>>>>> hive.metastore.local does not exist >>>>>>>>> Welcome to >>>>>>>>> ____ __ >>>>>>>>> / __/__ ___ _____/ /__ >>>>>>>>> _\ \/ _ \/ _ `/ __/ '_/ >>>>>>>>> /__ / .__/\_,_/_/ /_/\_\ version 1.5.1 >>>>>>>>> /_/ >>>>>>>>> >>>>>>>>> Using Python version 2.6.6 (r266:84292, Jul 23 2015 05:13:40) >>>>>>>>> SparkContext available as sc, HiveContext available as sqlContext. >>>>>>>>> >>> sqlContext2 = HiveContext(sc) >>>>>>>>> >>> sqlContext2.sql("show databases").first() >>>>>>>>> 15/10/28 10:23:12 WARN HiveConf: HiveConf of name >>>>>>>>> hive.metastore.local does not exist >>>>>>>>> 15/10/28 10:23:13 WARN ShellBasedUnixGroupsMapping: got exception >>>>>>>>> trying to get groups for user biapp: id: biapp: No such user >>>>>>>>> >>>>>>>>> 15/10/28 10:23:13 WARN UserGroupInformation: No groups available >>>>>>>>> for user biapp >>>>>>>>> Traceback (most recent call last): >>>>>>>>> File "<stdin>", line 1, in <module> >>>>>>>>> File >>>>>>>>> "/usr/lib/spark-1.5.1-bin-without-hadoop/python/pyspark/sql/context.py", >>>>>>>>> line 552, in sql >>>>>>>>> return DataFrame(self._ssql_ctx.sql(sqlQuery), self) >>>>>>>>> File >>>>>>>>> "/usr/lib/spark-1.5.1-bin-without-hadoop/python/pyspark/sql/context.py", >>>>>>>>> line 660, in _ssql_ctx >>>>>>>>> "build/sbt assembly", e) >>>>>>>>> Exception: ("You must build Spark with Hive. Export >>>>>>>>> 'SPARK_HIVE=true' and run build/sbt assembly", Py4JJavaError(u'An >>>>>>>>> error >>>>>>>>> occurred while calling None.org.apache.spark.sql.hive.HiveContext.\n', >>>>>>>>> JavaObject id=o20)) >>>>>>>>> >>> >>>>>>>>> >>>>>>>>> >>>>>>>>> See in the above the warning about "WARN HiveConf: HiveConf of >>>>>>>>> name hive.metastore.local does not exist" while actually there is a >>>>>>>>> hive.metastore.local attribute in the hive-site.xml >>>>>>>>> >>>>>>>>> Any idea how to submit hive-site.xml in yarn client mode? >>>>>>>>> >>>>>>>>> Thanks >>>>>>>>> >>>>>>>> >>>>>>>> >>>>>>> >>>>>> >>>>> >>>> >>> >
