I am following the tutorial given by Cloudera in this page - Preparing to Index Data with Cloudera Search. I was almost successful, but in the end when I try to index the sample data using batch mapreducer, I am getting the below error
java.lang.Exception: org.kitesdk.morphline.api.MorphlineRuntimeException: org.apache.solr.core.SolrResourceNotFoundException: Can't find resource 'solrconfig.xml' in classpath or '/usr/lib/solr/file:/tmp/hadoop-root/mapred/local/1494416503755/0c48826c-2ae0-4549-91a3-88807f5c6153.solr.zip/conf'
at org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:489)
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:549)
Caused by: org.kitesdk.morphline.api.MorphlineRuntimeException: org.apache.solr.core.SolrResourceNotFoundException: Can't find resource 'solrconfig.xml' in classpath or '/usr/lib/solr/file:/tmp/hadoop-root/mapred/local/1494416503755/0c48826c-2ae0-4549-91a3-88807f5c6153.solr.zip/conf'
at org.kitesdk.morphline.solr.SolrLocator.getIndexSchema(SolrLocator.java:209)
at org.apache.solr.hadoop.morphline.MorphlineMapRunner.<init>(MorphlineMapRunner.java:141)
at org.apache.solr.hadoop.morphline.MorphlineMapper.setup(MorphlineMapper.java:75)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:142)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:787)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:341)
at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:270)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.solr.core.SolrResourceNotFoundException: Can't find resource 'solrconfig.xml' in classpath or '/usr/lib/solr/file:/tmp/hadoop-root/mapred/local/1494416503755/0c48826c-2ae0-4549-91a3-88807f5c6153.solr.zip/conf'
at org.apache.solr.core.SolrResourceLoader.openResource(SolrResourceLoader.java:362)
at org.apache.solr.core.SolrResourceLoader.openConfig(SolrResourceLoader.java:308)
at org.apache.solr.core.Config.<init>(Config.java:117)
at org.apache.solr.core.Config.<init>(Config.java:87)
at org.apache.solr.core.SolrConfig.<init>(SolrConfig.java:167)
at org.kitesdk.morphline.solr.SolrLocator.getIndexSchema(SolrLocator.java:201)
... 11 more
I tried giving --solr-home-dir parameter also (pointing to conf/solrconfig.xml). But it didn't work. The final command that I run is in this page - Using MapReduce Batch Indexing with Cloudera Search.
Please help me out.
Thank you.
After replacing conf.cloudera.hdfs with conf.cloudera.yarn in the final command, the error was gone. Hope it helps someone.
Related
i am trying submit pyspark job from yarnclient. getting below error from RM without any further logs.
org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.ipc.StandbyException):
Operation category READ is not supported in state standby ENOENT: No
such file or directory at
org.apache.hadoop.io.nativeio.NativeIO$POSIX.chmodImpl(Native Method)
at
org.apache.hadoop.io.nativeio.NativeIO$POSIX.chmod(NativeIO.java:231)
at
org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:773)
at
org.apache.hadoop.fs.DelegateToFileSystem.setPermission(DelegateToFileSystem.java:218)
at org.apache.hadoop.fs.FilterFs.setPermission(FilterFs.java:266) at
org.apache.hadoop.fs.FileContext$11.next(FileContext.java:1008) at
org.apache.hadoop.fs.FileContext$11.next(FileContext.java:1004) at
org.apache.hadoop.fs.FSLinkResolver.resolve(FSLinkResolver.java:90) at
org.apache.hadoop.fs.FileContext.setPermission(FileContext.java:1011)
at org.apache.hadoop.yarn.util.FSDownload$3.run(FSDownload.java:483)
at org.apache.hadoop.yarn.util.FSDownload$3.run(FSDownload.java:481)
at java.security.AccessController.doPrivileged(Native Method) at
javax.security.auth.Subject.doAs(Subject.java:422) at
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1875)
at
org.apache.hadoop.yarn.util.FSDownload.changePermissions(FSDownload.java:481)
at org.apache.hadoop.yarn.util.FSDownload.call(FSDownload.java:419) at
org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ContainerLocalizer$FSDownloadWrapper.doDownloadCall(ContainerLocalizer.java:242)
at
org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ContainerLocalizer$FSDownloadWrapper.call(ContainerLocalizer.java:235)
at
org.apache.hadoop.yarn.server.nodemanager.containermanager.localizer.ContainerLocalizer$FSDownloadWrapper.call(ContainerLocalizer.java:223)
at java.util.concurrent.FutureTask.run(FutureTask.java:266) at
java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266) at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748) For more detailed output,
check the application tracking page:
https://.com:8090/cluster/app/application_1638972290118_64750
Then click on links to logs of each attempt. . Failing the
application.
cluster is fine and other pyspark jobs running fine.
Please help
Thanks in advance
What do you mean by "cluster is fine and other pyspark jobs running fine"?
Did you run them on Yarn or just on Standalone mode?
However, I think it's better to check your yarn cluster first to see if it works (without spark).
you can do it using hadoop MapR examples:
yarn jar $HadoopDir/share/hadoop/mapreduce/hadoop-mapreduce-examples-$version.jar wordcount inputFilePath OutputDir
Check link 1 and link 2 too. They may help.
For reference: I solved this issue by adding Netty 4.1.17 in hadoop/share/hadoop/common
No matter what jar I try and run (including the example from https://spark.apache.org/docs/latest/running-on-yarn.html), I keep getting an error regarding container failure when running Spark on Yarn. I get this error in the command prompt:
Diagnostics: Exception from container-launch.
Container id: container_1530118456145_0001_02_000001
Exit code: 1
Stack trace: ExitCodeException exitCode=1:
at org.apache.hadoop.util.Shell.runCommand(Shell.java:585)
at org.apache.hadoop.util.Shell.run(Shell.java:482)
at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:776)
at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:212)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
When I look at the logs, I then find this error:
Exception in thread "main" java.lang.NoSuchMethodError:io.netty.buffer.PooledByteBufAllocator.metric()Lio/netty/buffer/PooledByteBufAllocatorMetric;
at org.apache.spark.network.util.NettyMemoryMetrics.registerMetrics(NettyMemoryMetrics.java:80)
at org.apache.spark.network.util.NettyMemoryMetrics.<init>(NettyMemoryMetrics.java:76)
at org.apache.spark.network.client.TransportClientFactory.<init>(TransportClientFactory.java:109)
at org.apache.spark.network.TransportContext.createClientFactory(TransportContext.java:99)
at org.apache.spark.rpc.netty.NettyRpcEnv.<init>(NettyRpcEnv.scala:71)
at org.apache.spark.rpc.netty.NettyRpcEnvFactory.create(NettyRpcEnv.scala:461)
at org.apache.spark.rpc.RpcEnv$.create(RpcEnv.scala:57)
at org.apache.spark.deploy.yarn.ApplicationMaster.runExecutorLauncher(ApplicationMaster.scala:530)
at org.apache.spark.deploy.yarn.ApplicationMaster.org$apache$spark$deploy$yarn$ApplicationMaster$$runImpl(ApplicationMaster.scala:347)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$2.apply$mcV$sp(ApplicationMaster.scala:260)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$2.apply(ApplicationMaster.scala:260)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anonfun$run$2.apply(ApplicationMaster.scala:260)
at org.apache.spark.deploy.yarn.ApplicationMaster$$anon$5.run(ApplicationMaster.scala:815)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1758)
at org.apache.spark.deploy.yarn.ApplicationMaster.doAsUser(ApplicationMaster.scala:814)
at org.apache.spark.deploy.yarn.ApplicationMaster.run(ApplicationMaster.scala:259)
at org.apache.spark.deploy.yarn.ApplicationMaster$.main(ApplicationMaster.scala:839)
at org.apache.spark.deploy.yarn.ExecutorLauncher$.main(ApplicationMaster.scala:869)
at org.apache.spark.deploy.yarn.ExecutorLauncher.main(ApplicationMaster.scala)
Any idea why this is happening? This is running on a pseudo-distributed cluster set up according to this tutorial: https://wiki.apache.org/hadoop/Hadoop2OnWindows. Spark runs fine locally, and seeing as this jar was provided with Spark, I doubt it's a problem within the jar. (Regardless, I added a Netty dependency inside another jar and I'm still getting the same error).
The only thing set in my spark-defaults.conf is spark.yarn.jars, which points to a hdfs directory where I uploaded all of Spark's jars. io.netty.buffer.PooledByteBufAllocator is contained within these jars.
Spark 2.3.1, Hadoop 2.7.6
I had exactly same issue. Previously I used Hadoop 2.6.5 and the compatible spark version, things worked out fine. When I switched to Hadoop 2.7.6, problem occurred. Not sure what is cause, but I copied to netty.4.1.17.Final jar file to the hadoop library folder then the problem goes away.
Seems like you have multiple netty version on your classpath ,
mvn clean compile
Remove all and add latest one.
This may have the version problem between your yarn and spark. check the compatibility of the versions are installed.
I strongly suggest to read more about NoSuchMethodError and some other similar Exceptions like NoClassDefFoundError and ClassNotFoundException. This suggestions reason is that when you start using spark in different situations these are the much more confusing errors and exception for the people are not so experienced. NosuchMethodError
Of course caring a lot is the best practice strategy for a programmer absolutely the ones working on distributed systems like spark. Well Done. ;)
I'm trying to run nutch for the first time and while executing
/bin/nutch generate -topN 5
I get the following exception:
GeneratorJob: starting at 2016-02-13 21:01:42
GeneratorJob: Selecting best-scoring urls due for fetch.
GeneratorJob: starting
GeneratorJob: filtering: true
GeneratorJob: normalizing: true
GeneratorJob: topN: 5
GeneratorJob: java.lang.RuntimeException: job failed: name=apache-nutch- 2.3.1.jar, jobid=job_local1061440919_0001
at org.apache.nutch.util.NutchJob.waitForCompletion(NutchJob.java:120)
at org.apache.nutch.crawl.GeneratorJob.run(GeneratorJob.java:227)
at org.apache.nutch.crawl.GeneratorJob.generate(GeneratorJob.java:256)
at org.apache.nutch.crawl.GeneratorJob.run(GeneratorJob.java:322)
at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:70)
at org.apache.nutch.crawl.GeneratorJob.main(GeneratorJob.java:330)
Here is the stacktrace from hadoop.log:
2016-02-13 21:01:44,541 ERROR mapreduce.GoraRecordReader - Error reading Gora records: null
2016-02-13 21:01:44,557 WARN mapred.LocalJobRunner - job_local1061440919_0001
java.lang.Exception: java.lang.RuntimeException: java.util.NoSuchElementException
at org.apache.hadoop.mapred.LocalJobRunner$Job.runTasks(LocalJobRunner.java:462)
at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:522)
Caused by: java.lang.RuntimeException: java.util.NoSuchElementException
at org.apache.gora.mapreduce.GoraRecordReader.nextKeyValue(GoraRecordReader.java:122)
at org.apache.hadoop.mapred.MapTask$NewTrackingRecordReader.nextKeyValue(MapTask.java:533)
at org.apache.hadoop.mapreduce.task.MapContextImpl.nextKeyValue(MapContextImpl.java:80)
at org.apache.hadoop.mapreduce.lib.map.WrappedMapper$Context.nextKeyValue(WrappedMapper.java:91)
at org.apache.hadoop.mapreduce.Mapper.run(Mapper.java:144)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:764)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:340)
at org.apache.hadoop.mapred.LocalJobRunner$Job$MapTaskRunnable.run(LocalJobRunner.java:243)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.util.NoSuchElementException
at java.util.concurrent.ConcurrentSkipListMap.firstKey(ConcurrentSkipListMap.java:2036)
at org.apache.gora.memory.store.MemStore.execute(MemStore.java:128)
at org.apache.gora.query.impl.QueryBase.execute(QueryBase.java:73)
at org.apache.gora.mapreduce.GoraRecordReader.executeQuery(GoraRecordReader.java:67)
at org.apache.gora.mapreduce.GoraRecordReader.nextKeyValue(GoraRecordReader.java:109)
... 12 more
I've been following the tutorial here: https://github.com/renepickhardt/metalcon/wiki/simpleNutchSolrSetup for setting up nutch.
I've seen a few posts on stackoverflow and the nutch archives with similar exceptions, and they've suggested that I might be running out of disk space in my /tmp directory but the /tmp directory only has about 8MB worth of data on it.
Other than this, I'm clueless about what is causing this exception
What could be the cause of this exception?
I'm using Nutch 2.3.1 along with HBase 1.1.3 as the datastore and I'm running it on Ubuntu 15.10
Thanks
Looking the hadoop's log, I think you are using MemStore, and not HBaseStore. Did you configure gora.properties?
Copied from my comment :)
1) You must configure gora.properties,
2) Also whatever you have behind Gora (Mongo, HBase, Cassandra, etc ...) isn't responding so nutch needs to "waitForCompletion", so make sure it is up and running.
Make sure you kill old defunct processes with a kill -9, and old java nutch processes, and reboot if you can't find them (hopefully it won't come to that.
I'm working with Hadoop 0.21.0. and trying to run the hdfs_test application that comes alongside the C API library. After many problems I was able to compile hdfs_test. Now when I'm running it:
./hdfs_test
I'm getting the following error:
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/commons/logging/LogFactory
at org.apache.hadoop.conf.Configuration.<clinit>(Configuration.java:153)
Caused by: java.lang.ClassNotFoundException: org.apache.commons.logging.LogFactory
at java.net.URLClassLoader$1.run(URLClassLoader.java:217)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:205)
at java.lang.ClassLoader.loadClass(ClassLoader.java:321)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:294)
at java.lang.ClassLoader.loadClass(ClassLoader.java:266)
... 1 more
Can't construct instance of class org.apache.hadoop.conf.Configuration
Oops! Failed to connect to hdfs!
Any help is appreciated.. thanks
Like any other Java program you need the dependencies in the classpath or inside the jar. Hadoop also has an HADOOP_CLASSPATH to tell the cluster where to find dependencies in map-reduce tasks. Also see How to run a Hadoop program?
I am trying to run Cassandra-0.8.5, Hadoop 0.2.0 and Pig 0.8.1. I run a very simple pig scripts as
rows = LOAD 'cassandra://pygmalion/$CF' USING CassandraStorage() AS (key, columns: bag {T: tuple(name, value)});
counted = foreach (group rows all) generate COUNT($1);
dump counted;
it worked well if i run local mode. But if I run mapreduce mode, i alway get error message as below, i run out of idea. any help or hind will be greatly appreciated.
pig_813399.log:
Backend error message
java.io.IOException: java.lang.ClassNotFoundException: org.apache.cassandra.hadoop.ColumnFamilySplit
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigSplit.readFields(PigSplit.java:225)
at org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:67)
at org.apache.hadoop.io.serializer.WritableSerialization$WritableDeserializer.deserialize(WritableSerialization.java:40)
at org.apache.hadoop.mapred.MapTask.getSplitDetails(MapTask.java:349)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:611)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:323)
at org.apache.hadoop.mapred.Child$4.run(Child.java:270)
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:1127)
at org.apache.hadoop.mapred.Child.main(Child.java:264) Caused by: java.lang.ClassNotFoundException: org.apache.c
Pig Stack Trace
ERROR 2997: Unable to recreate exception from backed error: java.io.IOException: java.lang.ClassNotFoundException: org.apache.cassandra.hadoop.ColumnFamilySplit
org.apache.pig.impl.logicalLayer.FrontendException: ERROR 1066: Unable to open iterator for alias counted. Backend error : Unable to recreate exception from backed error: java.io.IOException: java.lang.ClassNotFoundException: org.apache.cassandra.hadoop.ColumnFamilySplit
at org.apache.pig.PigServer.openIterator(PigServer.java:753)
at org.apache.pig.tools.grunt.GruntParser.processDump(GruntParser.java:615)
at org.apache.pig.tools.pigscript.parser.PigScriptParser.parse(PigScriptParser.java:303)
at org.apache.pig.tools.grunt.GruntParser.loadScript(GruntParser.java:477)
at org.apache.pig.tools.grunt.GruntParser.processScript(GruntParser.java:422)
at org.apache.pig.tools.pigscript.parser.PigScriptParser.Script(PigScriptParser.java:692)
at org.apache.pig.tools.pigscript.parser.PigScriptParser.parse(PigScriptParser.java:425)
at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:168)
at org.apache.pig.tools.grunt.GruntParser.parseStopOnError(GruntParser.java:144)
at org.apache.pig.tools.grunt.Grunt.run(Grunt.java:76)
at org.apache.pig.Main.run(Main.java:455)
at org.apache.pig.Main.main(Main.java:107)
Caused by: org.apache.pig.backend.executionengine.ExecException: ERROR 2997: Unable to recreate exception from backed error: java.io.IOExcepti
on: java.lang.ClassNotFoundException: org.apache.cassandra.hadoop.ColumnFamilySplit
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.Launcher.getErrorMessages(Launcher.java:221)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.Launcher.getStats(Launcher.java:151)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher.launchPig(MapReduceLauncher.java:337)
at org.apache.pig.backend.hadoop.executionengine.HExecutionEngine.execute(HExecutionEngine.java:382)
at org.apache.pig.PigServer.executeCompiledLogicalPlan(PigServer.java:1209)
at org.apache.pig.PigServer.storeEx(PigServer.java:885)
at org.apache.pig.PigServer.store(PigServer.java:827)
at org.apache.pig.PigServer.openIterator(PigServer.java:739)
It sounds like you need to update the HADOOP_CLASSPATH environment variable to include the cassandra jars. You will need to restart the hadoop processes after you do.
export HADOOP_CLASSPATH=/path/to/cassandra/lib/*:$HADOOP_CLASSPATH
See http://wiki.apache.org/cassandra/HadoopSupport for other possible problems with running hadoop/pig against cassandra.