When I use hive with select * from table_name;, it works.
When I use select t.a from table_name t OR select * from table_name where ..., the following error happens :
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_1414949555870_118360, Tracking URL = N/A
Kill Command = /usr/local/hadoop-2.5.1/bin/hadoop job -kill job_1414949555870_118360
java.io.IOException: Job status not available
at org.apache.hadoop.mapreduce.Job.updateStatus(Job.java:322)
at org.apache.hadoop.mapreduce.Job.getJobState(Job.java:347)
at org.apache.hadoop.mapred.JobClient$NetworkedJob.getJobState(JobClient.java:295)
at org.apache.hadoop.hive.shims.HadoopShimsSecure.isJobPreparing(HadoopShimsSecure.java:104)
at org.apache.hadoop.hive.ql.exec.mr.HadoopJobExecHelper.progress(HadoopJobExecHelper.java:242)
at org.apache.hadoop.hive.ql.exec.mr.HadoopJobExecHelper.progress(HadoopJobExecHelper.java:541)
at org.apache.hadoop.hive.ql.exec.mr.ExecDriver.execute(ExecDriver.java:431)
at org.apache.hadoop.hive.ql.exec.mr.MapRedTask.execute(MapRedTask.java:136)
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:1485)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1263)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1091)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:931)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:921)
at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:268)
at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:220)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:422)
at org.apache.hadoop.hive.cli.CliDriver.executeDriver(CliDriver.java:790)
at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:684)
at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:623)
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.util.RunJar.main(RunJar.java:212)
Ended Job = job_1414949555870_118360 with exception java.io.IOException(Job status not available )
FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask`
So, what's wrong about hive？
DEBUG info as follow, maybe useful!! Please help me!!!
15/04/14 16:53:48 DEBUG ipc.Client: getting client out of cache: org.apache.hadoop.ipc.Client#60cb201b
15/04/14 16:53:48 DEBUG mapred.ClientServiceDelegate: Failed to contact AM/History for job job_1414949555870_118441 retrying..
java.net.UnknownHostException: Invalid host name: local host is: (unknown); destination host is: "slave109":43759; java.net.UnknownHostException; For more details see: http://wiki.apache.org/hadoop/UnknownHost
Related
I did a join of two dataframes on one common column and then ran a show method:
df= df1.join(df2, df1.col1== df2.col2, 'inner')
df.show()
Then join ran very slow and finally raise an error: slave lost.
Py4JJavaError: An error occurred while calling o109.showString.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 8.0 failed 4 times, most recent failure: Lost task 0.3 in stage 8.0 : ExecutorLostFailure (executor 1 exited caused by one of the running tasks) Reason: Slave lost
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at scala.Option.foreach(Option.scala:236) at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at
org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832) at
org.apache.spark.SparkContext.runJob(SparkContext.scala:1845) at
org.apache.spark.SparkContext.runJob(SparkContext.scala:1858) at
org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:212)
at
org.apache.spark.sql.execution.Limit.executeCollect(basicOperators.scala:165)
at
org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:174)
at
org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)
at
org.apache.spark.sql.DataFrame$$anonfun$org$apache$spark$sql$DataFrame$$execute$1$1.apply(DataFrame.scala:1499)
at
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
at
org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:2086)
at
org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$execute$1(DataFrame.scala:1498)
at
org.apache.spark.sql.DataFrame.org$apache$spark$sql$DataFrame$$collect(DataFrame.scala:1505)
at
org.apache.spark.sql.DataFrame$$anonfun$head$1.apply(DataFrame.scala:1375)
at
org.apache.spark.sql.DataFrame$$anonfun$head$1.apply(DataFrame.scala:1374)
at org.apache.spark.sql.DataFrame.withCallback(DataFrame.scala:2099)
at org.apache.spark.sql.DataFrame.head(DataFrame.scala:1374) at
org.apache.spark.sql.DataFrame.take(DataFrame.scala:1456) at
org.apache.spark.sql.DataFrame.showString(DataFrame.scala:170) at
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498) at
py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231) at
py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381) at
py4j.Gateway.invoke(Gateway.java:259) at
py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
at py4j.commands.CallCommand.execute(CallCommand.java:79) at
py4j.GatewayConnection.run(GatewayConnection.java:209) at
java.lang.Thread.run(Thread.java:745)
After some search, it seems this is a memory related issue. Then I increased repartition to 3000, increased executor memory,increased memoryOverhead, but still no luck, I got the same slave lost error. During df.show(), I found one of the execuctor shuffle write size is very high, the others were not so high.
Any clue?
Thanks
If using scala try
val df = df1.join(df2,Seq("column name"))
if pyspark
df = df1.join(df2,["columnname"])
or
df = df1.join(df2,df1.columnname == df2.columnname)
display(df)
If trying to do same in pyspark - sql
df1.createOrReplaceTempView("left_test_table")
df2..createOrReplaceTempView("right_test_table")
left <- sql(sqlContext, "SELECT * FROM left_test_table")
right <- sql(sqlContext, "SELECT * FROM right_test_table")
head(drop(join(left, right), left$name))
We are using Cloudera 5.6. We have configured Sentry for Hive. Whenever we issue an insert statment, it fails with the below exception. But when we check the table, the row is inserted properly. We have set all the permissions to hive.
$$$ insert into beckman values('rinku');
INFO : Number of reduce tasks is set to 0 since there's no reduce operator
INFO : number of splits:1
INFO : Submitting tokens for job: job_1459405260708_0002
INFO : The url to track the job: http://xxx.xxx.xxx.xxx:8088/proxy/application_1459405260708_0002/
INFO : Starting Job = job_1459405260708_0002, Tracking URL = http://xxx.xxx.xxx.xxx:8088/proxy/application_1459405260708_0002/
INFO : Kill Command = /opt/cloudera/parcels/CDH-5.6.0-1.cdh5.6.0.p0.45/lib/hadoop/bin/hadoop job -kill job_1459405260708_0002
INFO : Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
INFO : 2016-03-31 23:20:31,401 Stage-1 map = 0%, reduce = 0%
INFO : 2016-03-31 23:20:37,788 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 1.4 sec
INFO : MapReduce Total cumulative CPU time: 1 seconds 400 msec
INFO : Ended Job = job_1459405260708_0002
INFO : Stage-4 is selected by condition resolver.
INFO : Stage-3 is filtered out by condition resolver.
INFO : Stage-5 is filtered out by condition resolver.
INFO : Moving data to: hdfs://ip-172-31-0-203.us-west-2.compute.internal:8020/user/hive2/warehouse/test.db/beckman/.hive-staging_hive_2016-03-31_23-20-23_107_7263355827488393299-2/-ext-10000 from hdfs://ip-172-31-0-203.us-west-2.compute.internal:8020/user/hive2/warehouse/test.db/beckman/.hive-staging_hive_2016-03-31_23-20-23_107_7263355827488393299-2/-ext-10002
INFO : Loading data to table test.beckman from hdfs://ip-172-31-0-203.us-west-2.compute.internal:8020/user/hive2/warehouse/test.db/beckman/.hive-staging_hive_2016-03-31_23-20-23_107_7263355827488393299-2/-ext-10000
ERROR : Failed with exception Unable to alter table. java.lang.NullPointerException
org.apache.hadoop.hive.ql.metadata.HiveException: Unable to alter table. java.lang.NullPointerException
at org.apache.hadoop.hive.ql.metadata.Hive.alterTable(Hive.java:533)
at org.apache.hadoop.hive.ql.metadata.Hive.alterTable(Hive.java:519)
at org.apache.hadoop.hive.ql.metadata.Hive.loadTable(Hive.java:1685)
at org.apache.hadoop.hive.ql.exec.MoveTask.execute(MoveTask.java:312)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:160)
at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:88)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1645)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1404)
at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1190)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1055)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:1050)
at org.apache.hive.service.cli.operation.SQLOperation.runQuery(SQLOperation.java:143)
at org.apache.hive.service.cli.operation.SQLOperation.access$100(SQLOperation.java:69)
at org.apache.hive.service.cli.operation.SQLOperation$1$1.run(SQLOperation.java:195)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1707)
at org.apache.hive.service.cli.operation.SQLOperation$1.run(SQLOperation.java:207)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: MetaException(message:java.lang.NullPointerException)
at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$alter_table_with_cascade_result$alter_table_with_cascade_resultStandardScheme.read(ThriftHiveMetastore.java:42087)
at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$alter_table_with_cascade_result$alter_table_with_cascade_resultStandardScheme.read(ThriftHiveMetastore.java:42064)
at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$alter_table_with_cascade_result.read(ThriftHiveMetastore.java:42006)
at org.apache.thrift.TServiceClient.receiveBase(TServiceClient.java:78)
at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.recv_alter_table_with_cascade(ThriftHiveMetastore.java:1402)
at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.alter_table_with_cascade(ThriftHiveMetastore.java:1386)
at org.apache.hadoop.hive.metastore.HiveMetaStoreClient.alter_table(HiveMetaStoreClient.java:340)
at org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient.alter_table(SessionHiveMetaStoreClient.java:296)
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.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:91)
at com.sun.proxy.$Proxy10.alter_table(Unknown Source)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.hadoop.hive.metastore.HiveMetaStoreClient$SynchronizedHandler.invoke(HiveMetaStoreClient.java:1998)
at com.sun.proxy.$Proxy10.alter_table(Unknown Source)
at org.apache.hadoop.hive.ql.metadata.Hive.alterTable(Hive.java:531)
... 22 more
Error: Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.MoveTask (state=08S01,code=1)
I have noticed this issue when you try altering table with format/syntax along with database name. I.e something like : "<DATABASE>.<TABLENAME>".. Somehow this looks like an issue.
In order to overcome it, explicitly mention the database before you execute the actual query. A sample illustration :
use sampledb;
alter employeeTable .... ; // This works
vs
[Do not use the below]
alter sampledb.employeeTable.... // This doesn't work
I've a couple of problems executing Hive on cosmos fiware lab instance.
First, after log into the machine, I enter in Hive command line and I get the following error (I saw other questions related to this, but I couldn't find a solution):
$ hive
log4j:ERROR Could not instantiate class [org.apache.hadoop.hive.shims.HiveEventCounter].
java.lang.RuntimeException: Could not load shims in class org.apache.hadoop.log.metrics.EventCounter
at org.apache.hadoop.hive.shims.ShimLoader.createShim(ShimLoader.java:123)
at org.apache.hadoop.hive.shims.ShimLoader.loadShims(ShimLoader.java:115)
at org.apache.hadoop.hive.shims.ShimLoader.getEventCounter(ShimLoader.java:98)
at org.apache.hadoop.hive.shims.HiveEventCounter.<init>(HiveEventCounter.java:34)
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 java.lang.Class.newInstance0(Class.java:357)
at java.lang.Class.newInstance(Class.java:310)
at org.apache.log4j.helpers.OptionConverter.instantiateByClassName(OptionConverter.java:330)
at org.apache.log4j.helpers.OptionConverter.instantiateByKey(OptionConverter.java:121)
at org.apache.log4j.PropertyConfigurator.parseAppender(PropertyConfigurator.java:664)
at org.apache.log4j.PropertyConfigurator.parseCategory(PropertyConfigurator.java:647)
at org.apache.log4j.PropertyConfigurator.configureRootCategory(PropertyConfigurator.java:544)
at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:440)
at org.apache.log4j.PropertyConfigurator.doConfigure(PropertyConfigurator.java:476)
at org.apache.log4j.PropertyConfigurator.configure(PropertyConfigurator.java:354)
at org.apache.hadoop.hive.common.LogUtils.initHiveLog4jDefault(LogUtils.java:127)
at org.apache.hadoop.hive.common.LogUtils.initHiveLog4jCommon(LogUtils.java:77)
at org.apache.hadoop.hive.common.LogUtils.initHiveLog4j(LogUtils.java:58)
at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:641)
at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:625)
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:197)
Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.log.metrics.EventCounter
at java.net.URLClassLoader$1.run(URLClassLoader.java:202)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:190)
at java.lang.ClassLoader.loadClass(ClassLoader.java:306)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)
at java.lang.ClassLoader.loadClass(ClassLoader.java:247)
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:171)
at org.apache.hadoop.hive.shims.ShimLoader.createShim(ShimLoader.java:120)
... 27 more
log4j:ERROR Could not instantiate appender named "EventCounter".
Logging initialized using configuration in jar:file:/usr/local/apache-hive-0.13.0-bin/lib/hive-common-0.13.0.jar!/hive-log4j.properties
However, I'm able to run a query like SELECT * FROM table;
On the other hand, if I try to run other query more specific like display only a column field, a map reduce job starts to run and it results in the following error:
hive> SELECT table.column FROM table;
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_201507101501_40071, Tracking URL = http://cosmosmaster-gi:50030/jobdetails.jsp?jobid=job_201507101501_40071
Kill Command = /usr/lib/hadoop-0.20/bin/hadoop job -kill job_201507101501_40071
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
2016-01-29 12:49:45,518 Stage-1 map = 0%, reduce = 0%
2016-01-29 12:50:08,642 Stage-1 map = 100%, reduce = 100%
Ended Job = job_201507101501_40071 with errors
Error during job, obtaining debugging information...
Job Tracking URL: http://cosmosmaster-gi:50030/jobdetails.jsp?jobid=job_201507101501_40071
Examining task ID: task_201507101501_40071_m_000002 (and more) from job job_201507101501_40071
Task with the most failures(4):
-----
Task ID:
task_201507101501_40071_m_000000
URL:
http://cosmosmaster-gi:50030/taskdetails.jsp?jobid=job_201507101501_40071&tipid=task_201507101501_40071_m_000000
-----
Diagnostic Messages for this Task:
java.lang.RuntimeException: Error in configuring object
at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:93)
at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:64)
at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:117)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:386)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:324)
at org.apache.hadoop.mapred.Child$4.run(Child.java:266)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1278)
at org.apache.hadoop.mapred.Child.main(Child.java:260)
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.jav
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask
MapReduce Jobs Launched:
Job 0: Map: 1 HDFS Read: 0 HDFS Write: 0 FAIL
Total MapReduce CPU Time Spent: 0 msec
Any help or suggestion is welcome.
Thanks.
The first error is not relevant and does not affect Hive querying, as you have seen.
Regarding the second error, most probably it is because the stored data in HDFS is in Json format (most probably stored by the Cygnus tool) and a Json SerializerDeserializer (serde) must be set. You can do this by executoing the following sentence before doing the select column from table:
$ add jar /usr/local/apache-hive-0.13.0-bin/lib/json-serde-1.3.1-SNAPSHOT-jar-with-dependencies.jar;
$ select column from table;
Whenever I am running a hive query - select * from table. It is running fine. But when i m trying to run a MR job for query - select count(*) from table. It is failing with the following error -
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
set mapred.reduce.tasks=<number>
java.io.IOException: cannot find dir = hdfs://hostname:9000/tmp in pathToPartitionInfo: [hdfs://hostname:9000/data1/]
at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getPartitionDescFromPathRecursively(HiveFileFormatUtils.java:298)
at org.apache.hadoop.hive.ql.io.HiveFileFormatUtils.getPartitionDescFromPathRecursively(HiveFileFormatUtils.java:260)
at org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getSplits(CombineHiveInputFormat.java:293)
at org.apache.hadoop.mapred.JobClient.writeOldSplits(JobClient.java:1051)
at org.apache.hadoop.mapred.JobClient.writeSplits(JobClient.java:1043)
at org.apache.hadoop.mapred.JobClient.access$700(JobClient.java:179)
at org.apache.hadoop.mapred.JobClient$2.run(JobClient.java:959)
at org.apache.hadoop.mapred.JobClient$2.run(JobClient.java:912)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:416)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1149)
at org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:912)
at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:886)
at org.apache.hadoop.hive.ql.exec.ExecDriver.execute(ExecDriver.java:447)
at org.apache.hadoop.hive.ql.exec.MapRedTask.execute(MapRedTask.java:138)
at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:144)
at org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:57)
at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1355)
at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1139)
at org.apache.hadoop.hive.ql.Driver.run(Driver.java:945)
at org.apache.hadoop.hive.cli.CliDriver.processLocalCmd(CliDriver.java:259)
at org.apache.hadoop.hive.cli.CliDriver.processCmd(CliDriver.java:216)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:413)
at org.apache.hadoop.hive.cli.CliDriver.run(CliDriver.java:756)
at org.apache.hadoop.hive.cli.CliDriver.main(CliDriver.java:614)
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:616)
at org.apache.hadoop.util.RunJar.main(RunJar.java:156)
Job Submission failed with exception 'java.io.IOException(cannot find dir = hdfs://hostname:9000/tmp in pathToPartitionInfo: [hdfs://hostname:9000/data1/])'
FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.MapRedTask
I tried to run illustrate command on alias in pig in both local and hdfs mode also.
But i am getting below error.
2014-08-27 19:18:06,703 [main] ERROR
org.apache.pig.pen.ExampleGenerator - Error reading data. Internal
error creating job configuration. java.lang.RuntimeException: Internal
error creating job configuration.
at org.apache.pig.pen.ExampleGenerator.getExamples(ExampleGenerator.java:160)
at org.apache.pig.PigServer.getExamples(PigServer.java:1182)
at org.apache.pig.tools.grunt.GruntParser.processIllustrate(GruntParser.java:739)
at org.apache.pig.tools.pigscript.parser.PigScriptParser.Illustrate(PigScriptParser.java:626)
at org.apache.pig.tools.pigscript.parser.PigScriptParser.parse(PigScriptParser.java:323)
at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:194)
at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:170)
at org.apache.pig.tools.grunt.Grunt.run(Grunt.java:69)
at org.apache.pig.Main.run(Main.java:538)
at org.apache.pig.Main.main(Main.java:157)
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.util.RunJar.main(RunJar.java:208) 2014-08-27 19:18:06,707 [main] ERROR org.apache.pig.tools.grunt.Grunt
- ERROR 2997: Encountered IOException. Exception Details at logfile: /opt/pig_1409147241095.log
I am running Illustrate command using this example.
Say the input file is 'visits.txt' containing the following data :
Amy cnn.com 20070218 Fred harvard.edu 20071204 Amy
bbc.com 20071205 Fred stanford.edu 20071206
A grunt session might look something like this (Note the use of schemas while loading data. ExampleGenerator needs you to provide aliases) :
grunt> visits = load 'visits.txt' as (user, url, timestamp);
grunt> recent_visits = filter visits by timestamp >= '20071201';
grunt> user_visits = group recent_visits by user;
grunt> num_user_visits = foreach user_visits generate group, COUNT(recent_visits);
grunt> illustrate num_user_visits
set pig.enable.plan.serialization=false on /etc/pig/conf/pig.properties