Hi, Xuefu
You are right.
Maybe I should launch spark-submit by HS2 or Hive CLI ?
Thanks a lot,
Stana
2016-03-22 1:16 GMT+08:00 Xuefu Zhang <xu...@uber.com>:
> Stana,
>
> I'm not sure if I fully understand the problem. spark-submit is launched in
> the same host as your application, which should be able to access
> hive-exec.jar. Yarn cluster needs the jar also, but HS2 or Hive CLI will
> take care of that. Since you are not using either of which, then, it's your
> application's responsibility to make that happen.
>
> Did I missed anything else?
>
> Thanks,
> Xuefu
>
> On Sun, Mar 20, 2016 at 11:18 PM, Stana <st...@is-land.com.tw> wrote:
>
> > Does anyone have suggestions in setting property of hive-exec-2.0.0.jar
> > path in application?
> > Something like
> >
> >
> 'hiveConf.set("hive.remote.driver.jar","hdfs://storm0:9000/tmp/spark-assembly-1.4.1-hadoop2.6.0.jar")'.
> >
> >
> >
> > 2016-03-11 10:53 GMT+08:00 Stana <st...@is-land.com.tw>:
> >
> > > Thanks for reply
> > >
> > > I have set the property spark.home in my application. Otherwise the
> > > application threw 'SPARK_HOME not found exception'.
> > >
> > > I found hive source code in SparkClientImpl.java:
> > >
> > > private Thread startDriver(final RpcServer rpcServer, final String
> > > clientId, final String secret)
> > > throws IOException {
> > > ...
> > >
> > > List<String> argv = Lists.newArrayList();
> > >
> > > ...
> > >
> > > argv.add("--class");
> > > argv.add(RemoteDriver.class.getName());
> > >
> > > String jar = "spark-internal";
> > > if (SparkContext.jarOfClass(this.getClass()).isDefined()) {
> > > jar = SparkContext.jarOfClass(this.getClass()).get();
> > > }
> > > argv.add(jar);
> > >
> > > ...
> > >
> > > }
> > >
> > > When hive executed spark-submit , it generate the shell command with
> > > --class org.apache.hive.spark.client.RemoteDriver ,and set jar path
> with
> > > SparkContext.jarOfClass(this.getClass()).get(). It will get the local
> > path
> > > of hive-exec-2.0.0.jar.
> > >
> > > In my situation, the application and yarn cluster are in different
> > cluster.
> > > When application executed spark-submit with local path of
> > > hive-exec-2.0.0.jar to yarn cluster, there 's no hive-exec-2.0.0.jar in
> > > yarn cluster. Then application threw the exception:
> "hive-exec-2.0.0.jar
> > > does not exist ...".
> > >
> > > Can it be set property of hive-exec-2.0.0.jar path in application ?
> > > Something like 'hiveConf.set("hive.remote.driver.jar",
> > > "hdfs://storm0:9000/tmp/spark-assembly-1.4.1-hadoop2.6.0.jar")'.
> > > If not, is it possible to achieve in the future version?
> > >
> > >
> > >
> > >
> > > 2016-03-10 23:51 GMT+08:00 Xuefu Zhang <xu...@uber.com>:
> > >
> > >> You can probably avoid the problem by set environment variable
> > SPARK_HOME
> > >> or JVM property spark.home that points to your spark installation.
> > >>
> > >> --Xuefu
> > >>
> > >> On Thu, Mar 10, 2016 at 3:11 AM, Stana <st...@is-land.com.tw> wrote:
> > >>
> > >> > I am trying out Hive on Spark with hive 2.0.0 and spark 1.4.1, and
> > >> > executing org.apache.hadoop.hive.ql.Driver with java application.
> > >> >
> > >> > Following are my situations:
> > >> > 1.Building spark 1.4.1 assembly jar without Hive .
> > >> > 2.Uploading the spark assembly jar to the hadoop cluster.
> > >> > 3.Executing the java application with eclipse IDE in my client
> > computer.
> > >> >
> > >> > The application went well and it submitted mr job to the yarn
> cluster
> > >> > successfully when using " hiveConf.set("hive.execution.engine",
> "mr")
> > >> > ",but it threw exceptions in spark-engine.
> > >> >
> > >> > Finally, i traced Hive source code and came to the conclusion：
> > >> >
> > >> > In my situation, SparkClientImpl class will generate the
> spark-submit
> > >> > shell and executed it.
> > >> > The shell command allocated --class with
> RemoteDriver.class.getName()
> > >> > and jar with SparkContext.jarOfClass(this.getClass()).get(), so that
> > >> > my application threw the exception.
> > >> >
> > >> > Is it right? And how can I do to execute the application with
> > >> > spark-engine successfully in my client computer ? Thanks a lot!
> > >> >
> > >> >
> > >> > Java application code:
> > >> >
> > >> > public class TestHiveDriver {
> > >> >
> > >> > private static HiveConf hiveConf;
> > >> > private static Driver driver;
> > >> > private static CliSessionState ss;
> > >> > public static void main(String[] args){
> > >> >
> > >> > String sql = "select * from hadoop0263_0 as a join
> > >> > hadoop0263_0 as b
> > >> > on (a.key = b.key)";
> > >> > ss = new CliSessionState(new
> > >> HiveConf(SessionState.class));
> > >> > hiveConf = new HiveConf(Driver.class);
> > >> > hiveConf.set("fs.default.name",
> > "hdfs://storm0:9000");
> > >> > hiveConf.set("yarn.resourcemanager.address",
> > >> > "storm0:8032");
> > >> >
> hiveConf.set("yarn.resourcemanager.scheduler.address",
> > >> > "storm0:8030");
> > >> >
> > >> >
> > >>
> >
> hiveConf.set("yarn.resourcemanager.resource-tracker.address","storm0:8031");
> > >> > hiveConf.set("yarn.resourcemanager.admin.address",
> > >> > "storm0:8033");
> > >> > hiveConf.set("mapreduce.framework.name", "yarn");
> > >> > hiveConf.set("mapreduce.johistory.address",
> > >> > "storm0:10020");
> > >> >
> > >> >
> > >>
> >
> hiveConf.set("javax.jdo.option.ConnectionURL","jdbc:mysql://storm0:3306/stana_metastore");
> > >> >
> > >> >
> > >>
> >
> hiveConf.set("javax.jdo.option.ConnectionDriverName","com.mysql.jdbc.Driver");
> > >> > hiveConf.set("javax.jdo.option.ConnectionUserName",
> > >> > "root");
> > >> > hiveConf.set("javax.jdo.option.ConnectionPassword",
> > >> > "123456");
> > >> > hiveConf.setBoolean("hive.auto.convert.join",false);
> > >> > hiveConf.set("spark.yarn.jar",
> > >> > "hdfs://storm0:9000/tmp/spark-assembly-1.4.1-hadoop2.6.0.jar");
> > >> > hiveConf.set("spark.home","target/spark");
> > >> > hiveConf.set("hive.execution.engine", "spark");
> > >> > hiveConf.set("hive.dbname", "default");
> > >> >
> > >> >
> > >> > driver = new Driver(hiveConf);
> > >> > SessionState.start(hiveConf);
> > >> >
> > >> > CommandProcessorResponse res = null;
> > >> > try {
> > >> > res = driver.run(sql);
> > >> > } catch (CommandNeedRetryException e) {
> > >> > // TODO Auto-generated catch block
> > >> > e.printStackTrace();
> > >> > }
> > >> >
> > >> > System.out.println("Response Code:" +
> > >> > res.getResponseCode());
> > >> > System.out.println("Error Message:" +
> > >> > res.getErrorMessage());
> > >> > System.out.println("SQL State:" +
> res.getSQLState());
> > >> >
> > >> > }
> > >> > }
> > >> >
> > >> >
> > >> >
> > >> >
> > >> > Exception of spark-engine:
> > >> >
> > >> > 16/03/10 18:32:58 INFO SparkClientImpl: Running client driver with
> > >> > argv:
> > >> >
> > >>
> >
> /Volumes/Sdhd/Documents/project/island/java/apache/hive-200-test/hive-release-2.0.0/itests/hive-unit/target/spark/bin/spark-submit
> > >> > --properties-file
> > >> >
> > >> >
> > >>
> >
> /var/folders/vt/cjcdhms903x7brn1kbh558s40000gn/T/spark-submit.7697089826296920539.properties
> > >> > --class org.apache.hive.spark.client.RemoteDriver
> > >> >
> > >> >
> > >>
> >
> /Users/stana/.m2/repository/org/apache/hive/hive-exec/2.0.0/hive-exec-2.0.0.jar
> > >> > --remote-host MacBook-Pro.local --remote-port 51331 --conf
> > >> > hive.spark.client.connect.timeout=1000 --conf
> > >> > hive.spark.client.server.connect.timeout=90000 --conf
> > >> > hive.spark.client.channel.log.level=null --conf
> > >> > hive.spark.client.rpc.max.size=52428800 --conf
> > >> > hive.spark.client.rpc.threads=8 --conf
> > >> > hive.spark.client.secret.bits=256
> > >> > 16/03/10 18:33:09 INFO SparkClientImpl: 16/03/10 18:33:09 INFO
> Client:
> > >> > 16/03/10 18:33:09 INFO SparkClientImpl: client token: N/A
> > >> > 16/03/10 18:33:09 INFO SparkClientImpl: diagnostics: N/A
> > >> > 16/03/10 18:33:09 INFO SparkClientImpl: ApplicationMaster
> > host:
> > >> > N/A
> > >> > 16/03/10 18:33:09 INFO SparkClientImpl: ApplicationMaster
> RPC
> > >> > port: -1
> > >> > 16/03/10 18:33:09 INFO SparkClientImpl: queue: default
> > >> > 16/03/10 18:33:09 INFO SparkClientImpl: start time:
> > >> 1457180833494
> > >> > 16/03/10 18:33:09 INFO SparkClientImpl: final status:
> > UNDEFINED
> > >> > 16/03/10 18:33:09 INFO SparkClientImpl: tracking URL:
> > >> > http://storm0:8088/proxy/application_1457002628102_0043/
> > >> > 16/03/10 18:33:09 INFO SparkClientImpl: user: stana
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: 16/03/10 18:33:10 INFO
> Client:
> > >> > Application report for application_1457002628102_0043 (state:
> FAILED)
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: 16/03/10 18:33:10 INFO
> Client:
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: client token: N/A
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: diagnostics:
> > >> Application
> > >> > application_1457002628102_0043 failed 1 times due to AM Container
> for
> > >> > appattempt_1457002628102_0043_000001 exited with exitCode: -1000
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: For more detailed output,
> > >> > check application tracking
> > >> > page:http://storm0:8088/proxy/application_1457002628102_0043/Then,
> > >> > click on links to logs of each attempt.
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: Diagnostics:
> > >> > java.io.FileNotFoundException: File
> > >> >
> > >> >
> > >>
> >
> file:/Users/stana/.m2/repository/org/apache/hive/hive-exec/2.0.0/hive-exec-2.0.0.jar
> > >> > does not exist
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: Failing this attempt.
> Failing
> > >> > the application.
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: ApplicationMaster
> > host:
> > >> > N/A
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: ApplicationMaster
> RPC
> > >> > port: -1
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: queue: default
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: start time:
> > >> 1457180833494
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: final status:
> FAILED
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: tracking URL:
> > >> > http://storm0:8088/cluster/app/application_1457002628102_0043
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: user: stana
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: Exception in thread "main"
> > >> > org.apache.spark.SparkException: Application
> > >> > application_1457002628102_0043 finished with failed status
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: at
> > >> > org.apache.spark.deploy.yarn.Client.run(Client.scala:920)
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: at
> > >> > org.apache.spark.deploy.yarn.Client$.main(Client.scala:966)
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: at
> > >> > org.apache.spark.deploy.yarn.Client.main(Client.scala)
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: at
> > >> > sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: at
> > >> >
> > >> >
> > >>
> >
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: at
> > >> >
> > >> >
> > >>
> >
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: at
> > >> > java.lang.reflect.Method.invoke(Method.java:606)
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: at
> > >> >
> > >> >
> > >>
> >
> org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: at
> > >> >
> > org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: at
> > >> > org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: at
> > >> > org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: at
> > >> > org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: 16/03/10 18:33:10 INFO
> > >> > ShutdownHookManager: Shutdown hook called
> > >> > 16/03/10 18:33:10 INFO SparkClientImpl: 16/03/10 18:33:10 INFO
> > >> > ShutdownHookManager: Deleting directory
> > >> >
> > >> >
> > >>
> >
> /private/var/folders/vt/cjcdhms903x7brn1kbh558s40000gn/T/spark-5b92ce20-b6f8-4832-8b15-5e98bd0e0705
> > >> > 16/03/10 18:33:10 WARN SparkClientImpl: Error while waiting for
> client
> > >> > to connect.
> > >> > java.util.concurrent.ExecutionException: java.lang.RuntimeException:
> > >> > Cancel client '5bda93c0-865b-48a8-b368-c2fcc30e81e8'. Error: Child
> > >> > process exited before connecting back
> > >> > at
> > >> > io.netty.util.concurrent.AbstractFuture.get(AbstractFuture.java:37)
> > >> > ~[netty-all-4.0.23.Final.jar:4.0.23.Final]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hive.spark.client.SparkClientImpl.<init>(SparkClientImpl.java:101)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hive.spark.client.SparkClientFactory.createClient(SparkClientFactory.java:80)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.exec.spark.RemoteHiveSparkClient.createRemoteClient(RemoteHiveSparkClient.java:98)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.exec.spark.RemoteHiveSparkClient.<init>(RemoteHiveSparkClient.java:94)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.exec.spark.HiveSparkClientFactory.createHiveSparkClient(HiveSparkClientFactory.java:63)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionImpl.open(SparkSessionImpl.java:55)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.exec.spark.session.SparkSessionManagerImpl.getSession(SparkSessionManagerImpl.java:114)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.exec.spark.SparkUtilities.getSparkSession(SparkUtilities.java:131)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.optimizer.spark.SetSparkReducerParallelism.process(SetSparkReducerParallelism.java:117)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.lib.DefaultRuleDispatcher.dispatch(DefaultRuleDispatcher.java:90)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.dispatchAndReturn(DefaultGraphWalker.java:105)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.dispatch(DefaultGraphWalker.java:89)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.walk(DefaultGraphWalker.java:158)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.startWalking(DefaultGraphWalker.java:120)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.parse.spark.SparkCompiler.runJoinOptimizations(SparkCompiler.java:181)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.parse.spark.SparkCompiler.optimizeOperatorPlan(SparkCompiler.java:119)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.parse.TaskCompiler.compile(TaskCompiler.java:102)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.analyzeInternal(SemanticAnalyzer.java:10195)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.parse.CalcitePlanner.analyzeInternal(CalcitePlanner.java:229)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.analyze(BaseSemanticAnalyzer.java:239)
> > >> > [hive-exec-2.0.0.jar:2.0.0]
> > >> > at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:479)
> > >> > [hive-exec-2.0.0.jar:?]
> > >> > at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:319)
> > >> > [hive-exec-2.0.0.jar:?]
> > >> > at
> > >> > org.apache.hadoop.hive.ql.Driver.compileInternal(Driver.java:1255)
> > >> > [hive-exec-2.0.0.jar:?]
> > >> > at
> > >> org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1301)
> > >> > [hive-exec-2.0.0.jar:?]
> > >> > at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1184)
> > >> > [hive-exec-2.0.0.jar:?]
> > >> > at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1172)
> > >> > [hive-exec-2.0.0.jar:?]
> > >> > at
> > >> >
> org.apache.hadoop.hive.ql.TestHiveDriver.main(TestHiveDriver.java:41)
> > >> > [test-classes/:?]
> > >> > Caused by: java.lang.RuntimeException: Cancel client
> > >> > '5bda93c0-865b-48a8-b368-c2fcc30e81e8'. Error: Child process exited
> > >> > before connecting back
> > >> > at
> > >> >
> > >>
> >
> org.apache.hive.spark.client.rpc.RpcServer.cancelClient(RpcServer.java:179)
> > >> > ~[hive-exec-2.0.0.jar:2.0.0]
> > >> > at
> > >> >
> > >>
> >
> org.apache.hive.spark.client.SparkClientImpl$3.run(SparkClientImpl.java:450)
> > >> > ~[hive-exec-2.0.0.jar:2.0.0]
> > >> > at java.lang.Thread.run(Thread.java:745) ~[?:1.7.0_67]
> > >> > 16/03/10 18:33:10 WARN SparkClientImpl: Child process exited with
> code
> > >> 1.
> > >> > FAILED: SemanticException Failed to get a spark session:
> > >> > org.apache.hadoop.hive.ql.metadata.HiveException: Failed to create
> > >> > spark client.
> > >> > 16/03/10 18:33:10 ERROR Driver: FAILED: SemanticException Failed to
> > >> > get a spark session:
> org.apache.hadoop.hive.ql.metadata.HiveException:
> > >> > Failed to create spark client.
> > >> > org.apache.hadoop.hive.ql.parse.SemanticException: Failed to get a
> > >> > spark session: org.apache.hadoop.hive.ql.metadata.HiveException:
> > >> > Failed to create spark client.
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.optimizer.spark.SetSparkReducerParallelism.process(SetSparkReducerParallelism.java:121)
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.lib.DefaultRuleDispatcher.dispatch(DefaultRuleDispatcher.java:90)
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.dispatchAndReturn(DefaultGraphWalker.java:105)
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.dispatch(DefaultGraphWalker.java:89)
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.walk(DefaultGraphWalker.java:158)
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.lib.DefaultGraphWalker.startWalking(DefaultGraphWalker.java:120)
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.parse.spark.SparkCompiler.runJoinOptimizations(SparkCompiler.java:181)
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.parse.spark.SparkCompiler.optimizeOperatorPlan(SparkCompiler.java:119)
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.parse.TaskCompiler.compile(TaskCompiler.java:102)
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.parse.SemanticAnalyzer.analyzeInternal(SemanticAnalyzer.java:10195)
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.parse.CalcitePlanner.analyzeInternal(CalcitePlanner.java:229)
> > >> > at
> > >> >
> > >>
> >
> org.apache.hadoop.hive.ql.parse.BaseSemanticAnalyzer.analyze(BaseSemanticAnalyzer.java:239)
> > >> > at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:479)
> > >> > at org.apache.hadoop.hive.ql.Driver.compile(Driver.java:319)
> > >> > at
> > >> > org.apache.hadoop.hive.ql.Driver.compileInternal(Driver.java:1255)
> > >> > at
> > >> org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1301)
> > >> > at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1184)
> > >> > at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1172)
> > >> > at
> > >> >
> org.apache.hadoop.hive.ql.TestHiveDriver.main(TestHiveDriver.java:41)
> > >> >
> > >>
> > >
> > >
> >
>
