I am trying to collect various metrics for active tasttrackers but it throws an exception
Not sure why?
for(String s: jc.getClusterStatus(true).getActiveTrackerNames()){
System.out.println("tt "+s);
System.out.println(""+ new org.apache.hadoop.mapreduce.server.jobtracker.TaskTracker(s).getAvailableSlots(TaskType.MAP)); }
output
prompt $ /installs/hadoop-0.20.2//bin/hadoop jar tools.jar tools.MetaInfo
tt tracker_10.0.0.6:localhost/127.0.0.1:53256 java.lang.NullPointerException at org.apache.hadoop.mapreduce.server.jobtracker.TaskTracker.getAvailableSlots(TaskTracker.java:90) at tools.MetaInfo.(MetaInfo.java:44) at tools.MetaInfo.main(MetaInfo.java:51) 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:186) jabir:CompareHdfs jabir.ahmed$
Not sure why it doesnt display the available slots but displays an error
I am trying to collect various metrics for active tasttrackers but it throws an exception
new TaskTracker() will create a new TaskTracker which is not you wanted to do.
Check the JobCounter and the TaskCounter classes for the various built-in counters in the Hadoop framework. This tutorial will help to retrieve counters. Besides the in-built counters, custom counters can also be built for any application specific data for any additional data related to the Hadoop framework.
Also, split the lines into multiple lines. With a().b().c().d().e(), it's very difficult to know when the NPE came from.
You can also find current status, what are thing doing with tasktracker
http://x.x.x.x:50060/tasktracker.jsp
Related
I'm working on a custom load function to load data from Bigtable using Pig on Dataproc. I compile my java code using the following list of jar files I grabbed from Dataproc. When I run the following Pig script, it fails when it tries to establish a connection with Bigtable.
Error message is:
Bigtable does not support managed connections.
Questions:
Is there a work around for this problem?
Is this a known issue and is there a plan to fix or adjust?
Is there a different way of implementing multi scans as a load function for Pig that will work with Bigtable?
Details:
Jar files:
hadoop-common-2.7.3.jar
hbase-client-1.2.2.jar
hbase-common-1.2.2.jar
hbase-protocol-1.2.2.jar
hbase-server-1.2.2.jar
pig-0.16.0-core-h2.jar
Here's a simple Pig script using my custom load function:
%default gte '2017-03-23T18:00Z'
%default lt '2017-03-23T18:05Z'
%default SHARD_FIRST '00'
%default SHARD_LAST '25'
%default GTE_SHARD '$gte\_$SHARD_FIRST'
%default LT_SHARD '$lt\_$SHARD_LAST'
raw = LOAD 'hbase://events_sessions'
USING com.eduboom.pig.load.HBaseMultiScanLoader('$GTE_SHARD', '$LT_SHARD', 'event:*')
AS (es_key:chararray, event_array);
DUMP raw;
My custom load function HBaseMultiScanLoader creates a list of Scan objects to perform multiple scans on different ranges of data in the table events_sessions determined by the time range between gte and lt and sharded by SHARD_FIRST through SHARD_LAST.
HBaseMultiScanLoader extends org.apache.pig.LoadFunc so it can be used in the Pig script as load function.
When Pig runs my script, it calls LoadFunc.getInputFormat().
My implementation of getInputFormat() returns an instance of my custom class MultiScanTableInputFormat which extends org.apache.hadoop.mapreduce.InputFormat.
MultiScanTableInputFormat initializes org.apache.hadoop.hbase.client.HTable object to initialize the connection to the table.
Digging into the hbase-client source code, I see that org.apache.hadoop.hbase.client.ConnectionManager.getConnectionInternal() calls org.apache.hadoop.hbase.client.ConnectionManager.createConnection() with the attribute “managed” hardcoded to “true”.
You can see from the stack track below that my code (MultiScanTableInputFormat) tries to initialize an HTable object which invokes getConnectionInternal() which does not provide an option to set managed to false.
Going down the stack trace, you will get to AbstractBigtableConnection that will not accept managed=true and therefore cause the connection to Bigtable to fail.
Here’s the stack trace showing the error:
2017-03-24 23:06:44,890 [JobControl] ERROR com.turner.hbase.mapreduce.MultiScanTableInputFormat - java.io.IOException: java.lang.reflect.InvocationTargetException
at org.apache.hadoop.hbase.client.ConnectionFactory.createConnection(ConnectionFactory.java:240)
at org.apache.hadoop.hbase.client.ConnectionManager.createConnection(ConnectionManager.java:431)
at org.apache.hadoop.hbase.client.ConnectionManager.createConnection(ConnectionManager.java:424)
at org.apache.hadoop.hbase.client.ConnectionManager.getConnectionInternal(ConnectionManager.java:302)
at org.apache.hadoop.hbase.client.HTable.<init>(HTable.java:185)
at org.apache.hadoop.hbase.client.HTable.<init>(HTable.java:151)
at com.eduboom.hbase.mapreduce.MultiScanTableInputFormat.setConf(Unknown Source)
at com.eduboom.pig.load.HBaseMultiScanLoader.getInputFormat(Unknown Source)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.PigInputFormat.getSplits(PigInputFormat.java:264)
at org.apache.hadoop.mapreduce.JobSubmitter.writeNewSplits(JobSubmitter.java:301)
at org.apache.hadoop.mapreduce.JobSubmitter.writeSplits(JobSubmitter.java:318)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:196)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1290)
at org.apache.hadoop.mapreduce.Job$10.run(Job.java:1287)
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:1698)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1287)
at org.apache.hadoop.mapreduce.lib.jobcontrol.ControlledJob.submit(ControlledJob.java:335)
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 org.apache.pig.backend.hadoop23.PigJobControl.submit(PigJobControl.java:128)
at org.apache.pig.backend.hadoop23.PigJobControl.run(PigJobControl.java:194)
at java.lang.Thread.run(Thread.java:745)
at org.apache.pig.backend.hadoop.executionengine.mapReduceLayer.MapReduceLauncher$1.run(MapReduceLauncher.java:276)
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.hadoop.hbase.client.ConnectionFactory.createConnection(ConnectionFactory.java:238)
... 26 more
Caused by: java.lang.IllegalArgumentException: Bigtable does not support managed connections.
at org.apache.hadoop.hbase.client.AbstractBigtableConnection.<init>(AbstractBigtableConnection.java:123)
at com.google.cloud.bigtable.hbase1_2.BigtableConnection.<init>(BigtableConnection.java:55)
... 31 more
The original problem was caused by the use of outdated and deprecated hbase client jars and classes.
I updated my code to use the newest hbase client jars provided by Google and the original problem was fixed.
I still get stuck with some ZK issue that I still did not figure out, but that's a conversation for a different question.
This one is answered!
I have confronted the same error message:
Bigtable does not support managed connections.
However, according to my research, the root cause is that the class HTable can not be constructed explicitly. After changed the way to construct HTable by connection.getTable. The problem resolved.
I have map reduce job for hbase bulk load. Job is converting data into Hfiles and loading into hbase but after certain map % job is failing. Below is the exception that I am getting.
Error: java.io.FileNotFoundException: /var/mapr/local/tm4/mapred/nodeManager/spill/job_1433110149357_0005/attempt_1433110149357_0005_m_000000_0/spill83.out.index
at org.apache.hadoop.fs.RawLocalFileSystem.open(RawLocalFileSystem.java:198)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:800)
at org.apache.hadoop.io.SecureIOUtils.openFSDataInputStream(SecureIOUtils.java:156)
at org.apache.hadoop.mapred.SpillRecord.<init>(SpillRecord.java:74)
at org.apache.hadoop.mapred.MapRFsOutputBuffer.mergeParts(MapRFsOutputBuffer.java:1382)
at org.apache.hadoop.mapred.MapRFsOutputBuffer.flush(MapRFsOutputBuffer.java:1627)
at org.apache.hadoop.mapred.MapTask$NewOutputCollector.close(MapTask.java:709)
at org.apache.hadoop.mapred.MapTask.runNewMapper(MapTask.java:779)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:345)
at org.apache.hadoop.mapred.YarnChild$2.run(YarnChild.java:168)
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:1566)
at org.apache.hadoop.mapred.YarnChild.main(YarnChild.java:163)
Only thing that i noticed in job that for small set of data it is working fine but as data grows job starts failing.
Let me know if anyone has faced this issue.
Thanks
This was a bug in MapR. I got reply on MapR forum. If someone is facing similar issue then refere below link.
http://answers.mapr.com/questions/163440/hbase-bulk-load-map-reduce-job-failing-on-mapr.html
I just started cascading programming and have a cascading job which needs to run variable times of iteration. During each iteration, it ready from file (Tap) generated from previous iteration and write calculated data to two separate SinkTaps.
One Tap (Tap Final) is used to collect data from each iterations.
The other Tap (Tap intermediate) using to collect data that need to be calculated in the next iteration.
I am using SinkMode.UPDATE for "Tap final" to make this happen. It works correct at local mode. But failed at cluster mode. Complain about file already existed ("Tap final").
I am running CDH4.4 and cascading 2.5.2. Seems like there is no one has experienced the same problem.
If anyone knows any possible way to fix it, please let me know. Thanks
Caused by: org.apache.hadoop.mapred.FileAlreadyExistsException: Output directory hdfs://dv-db.machines:8020/tmp/xxxx/cluster/97916 already exists
at org.apache.hadoop.mapred.FileOutputFormat.checkOutputSpecs(FileOutputFormat.java:126)
at org.apache.hadoop.mapreduce.JobSubmitter.checkSpecs(JobSubmitter.java:419)
at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:332)
at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1269)
at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1266)
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:1408)
at org.apache.hadoop.mapreduce.Job.submit(Job.java:1266)
at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:606)
at org.apache.hadoop.mapred.JobClient$1.run(JobClient.java:601)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
at org.apache.hadoop.mapred.JobClient.submitJobInternal(JobClient.java:601)
at org.apache.hadoop.mapred.JobClient.submitJob(JobClient.java:586)
at cascading.flow.hadoop.planner.HadoopFlowStepJob.internalNonBlockingStart(HadoopFlowStepJob.java:105)
at cascading.flow.planner.FlowStepJob.blockOnJob(FlowStepJob.java:196)
at cascading.flow.planner.FlowStepJob.start(FlowStepJob.java:149)
at cascading.flow.planner.FlowStepJob.call(FlowStepJob.java:124)
at cascading.flow.planner.FlowStepJob.call(FlowStepJob.java:43)
at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:334)
at java.util.concurrent.FutureTask.run(FutureTask.java:166)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:724)
It would helpful to understand the issue better if you could add cascading flow code to your question.
It seems the job file with same name is being used between different jobs on cluster mode. One simple solution in case you are fine to not run it concurrently would be be set max concurrent steps to 1.
Flow flow = flowConnector.connect("name", sources, sinks, outPipe1, outPipe2);
flow.setMaxConcurrentSteps(jobProperties, 1);
UPDATE only works with sinks (like databases) that support in-place updating.
If you're using Hfs (a file system sink) then you'll need to use SinkMode.REPLACE.
When i run my job on a larger dataset, lots of mappers / reducers fail causing the whole job to crash. Here's the error i see on many mappers:
java.io.FileNotFoundException: File does not exist: /mnt/var/lib/hadoop/tmp/mapred/staging/hadoop/.staging/job_201405050818_0001/job.split
at org.apache.hadoop.hdfs.DFSClient$DFSInputStream.openInfo(DFSClient.java:1933)
at org.apache.hadoop.hdfs.DFSClient$DFSInputStream.<init>(DFSClient.java:1924)
at org.apache.hadoop.hdfs.DFSClient.open(DFSClient.java:608)
at org.apache.hadoop.hdfs.DistributedFileSystem.open(DistributedFileSystem.java:154)
at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:429)
at org.apache.hadoop.mapred.MapTask.getSplitDetails(MapTask.java:385)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:417)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:377)
at org.apache.hadoop.mapred.Child$4.run(Child.java:255)
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:1132)
at org.apache.hadoop.mapred.Child.main(Child.java:249)
Has anybody been able to solve this problem ? I see another human experiencing the same pain as me (here), sadly he could not be saved in time.
After hours of debugging, I found absolutely nothing useful in hadoop logs (as usual). Then i tried the following changes:
Increasing the cluster size to 10
Increase the failure limits :
mapred.map.max.attempts=20
mapred.reduce.max.attempts=20
mapred.max.tracker.failures=20
mapred.max.map.failures.percent=20
mapred.max.reduce.failures.percent=20
I was able to run my cascading job on large amounts of data subsequently. It seems like a problem caused by cascading.
I have an application containing 4 MDB's each of which receives SOAP messages over JMS from MQ. Once the messages have been received we process the XML into an object model and process accordingly which always involves either loading or saving messages to an Oracle database via Hibernate.
Additionally we have a quartz process with fires every minute that may or may not trigger so actions which could also read or write to the database using Hibernate.
When the system in under high load, i.e. processing large numbers 1k + and potentially performing some database read/writes triggered by our quartz process we keep seeing the following exception be thrown in our logs.
===============================================================================
at com.integrasp.iatrade.logic.MessageContextRouting.lookup(MessageContextRouting. java:150)
at com.integrasp.iatrade.logic.RequestResponseManager.findRequestDestination(Reque stResponseManager.java:153) at com.integrasp.iatrade.logic.RequestResponseManager.findRequestDestination(Reque stResponseManager.java:174)
at com.integrasp.iatrade.logic.IOLogic.processResponse(IOLogic.java:411)< br /> at com.integrasp.iatrade.logic.FxOrderQuoteManager.requestQuote(FxOrderQuoteManage r.java:119)
at com.integrasp.iatrade.logic.FxOrderQuoteManager.processRequest(FxOrderQuoteMana ger.java:682)
at com.integrasp.iatrade.logic.FxOrderSubmissionManager.processRequest(FxOrderSubm issionManager.java:408)
at com.integrasp.iatrade.eo.SubmitOrderRequest.process(SubmitOrderRequest.java:60)
at com.integrasp.iatrade.ejb.BusinessLogicRegister.perform(BusinessLogicRegister.j ava:85)
at com.integrasp.iatrade.ejb.mdb.OrderSubmissionBean.onMessage(OrderSubmissionBean .java:147)
at com.ibm.ejs.jms.listener.MDBWrapper$PriviledgedOnMessage.run(MDBWrapper.java:30 2)
at com.ibm.ws.security.util.AccessController.doPrivileged(AccessController.java:63 )
at com.ibm.ejs.jms.listener.MDBWrapper.callOnMessage(MDBWrapper.java:271)
at com.ibm.ejs.jms.listener.MDBWrapper.onMessage(MDBWrapper.java:240)
at com.ibm.mq.jms.MQSession.run(MQSession.java:1593)
at com.ibm.ejs.jms.JMSSessionHandle.run(JMSSessionHandle.java:970)
at com.ibm.ejs.jms.listener.ServerSession.connectionConsumerOnMessage(ServerSessio n.java:891)
at com.ibm.ejs.jms.listener.ServerSession.onMessage(ServerSession.java:656)
at com.ibm.ejs.jms.listener.ServerSession.dispatch(ServerSession.java:623)
at sun.reflect.GeneratedMethodAccessor79.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.ja va:43)
at java.lang.reflect.Method.invoke(Method.java:615)
at com.ibm.ejs.jms.listener.ServerSessionDispatcher.dispatch(ServerSessionDispatch er.java:37)
at com.ibm.ejs.container.MDBWrapper.onMessage(MDBWrapper.java:96)
at com.ibm.ejs.container.MDBWrapper.onMessage(MDBWrapper.java:132)
at com.ibm.ejs.jms.listener.ServerSession.run(ServerSession.java:481)
at com.ibm.ws.util.ThreadPool$Worker.run(ThreadPool.java:1473)
Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.GeneratedMethodAccessor42.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.ja va:43)
at java.lang.reflect.Method.invoke(Method.java:615)
at org.hibernate.transaction.WebSphereExtendedJTATransactionLookup$TransactionMana gerAdapter$TransactionAdapter.registerSynchronization(WebSphereExtendedJTATransa ctionLookup.java:225)
... 30 more
Caused by: com.ibm.websphere.jtaextensions.NotSupportedException
at com.ibm.ws.jtaextensions.ExtendedJTATransactionImpl.registerSynchronizationCall backForCurrentTran(ExtendedJTATransactionImpl.java:247)
... 34 more
Could any body help to shed come light on what com.ibm.websphere.jtaextensions.NotSupportedException means. The IBM documentation says
"The exception is thrown by the transaction manager if an attempt is made to register a SynchronizationCallback in an environment or at a time when this function is not available. "
Which to me sounds like the container is rejecting hibernates call to start a transaction. If anybody has any idea on why the container could be throwing the message please let me know.
Thanks in advance
Karl
If you really need high load I would remove the Hibernate layer between your app and the database. Without Hibernate you have less moving parts and more control.
That is the only advice I can give you.
If anyone was interested it was a thread that was trying to sync the transaction when the transaction had timed out.
I had assumed that if the transaction timeout then the thread would have been killed however this was not the case.
karl