I had 81,068 tasks complete but then 11,799 failed and only 12 were killed. They SEEM to all failed from
2013-09-10 03:07:36,316 INFO org.apache.hadoop.mapred.TaskInProgress: Error from attempt_201308301539_0002_m_083001_0: Error initializing attempt_201308301539_0002_m_083001_0:
org.apache.hadoop.util.DiskChecker$DiskErrorException: Could not find taskTracker/jobcache/job_201308301539_0002/work in any of the configured local directories
at org.apache.hadoop.fs.LocalDirAllocator$AllocatorPerContext.getLocalPathToRead(LocalDirAllocator.java:389)
at org.apache.hadoop.fs.LocalDirAllocator.getLocalPathToRead(LocalDirAllocator.java:138)
at org.apache.hadoop.mapred.TaskTracker$TaskInProgress.localizeTask(TaskTracker.java:1817)
at org.apache.hadoop.mapred.TaskTracker$TaskInProgress.launchTask(TaskTracker.java:1933)
at org.apache.hadoop.mapred.TaskTracker.launchTaskForJob(TaskTracker.java:830)
at org.apache.hadoop.mapred.TaskTracker.localizeJob(TaskTracker.java:824)
at org.apache.hadoop.mapred.TaskTracker.startNewTask(TaskTracker.java:1664)
at org.apache.hadoop.mapred.TaskTracker.access$1200(TaskTracker.java:97)
at org.apache.hadoop.mapred.TaskTracker$TaskLauncher.run(TaskTracker.java:1629)
At this point, I am just looking for guidance on how I can debug this before I re-run this again. For some reason out in the cluster, it looks like all the files are deleted though I thought hadoop M/R only deleted successfull task logs????
Anyone have some advice/ideas on how to debug this further?
It looks like all the default directories for map/reduce are used... /tmp/hadoop-hduser for my hduser.
I have seen stuff on /etc/hosts but then I don't get why 81,000 tasks succeeded before finally failing???
I am using the web interface to get some of this information of course and some logs where hadoopinstalled/logs
thanks,
Dean
Related
I have yarn cluster with spark(1.6.1), hdfs and hive(2.1). My workflows worked fine for few months till this day (without any changes in code / on environments). I started to get errors like this:
org.apache.hive.com.esotericsoftware.kryo.KryoException: Encountered unregistered class ID: 21
Serialization trace:
outputFileFormatClass (org.apache.hadoop.hive.ql.plan.PartitionDesc)
aliasToPartnInfo (org.apache.hadoop.hive.ql.plan.MapWork)
invertedWorkGraph (org.apache.hadoop.hive.ql.plan.SparkWork)
at org.apache.hive.com.esotericsoftware.kryo.util.DefaultClassResolver.readClass(DefaultClassResolver.java:119)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readClass(Kryo.java:656)
at org.apache.hive.com.esotericsoftware.kryo.serializers.DefaultSerializers$ClassSerializer.read(DefaultSerializers.java:238)
at org.apache.hive.com.esotericsoftware.kryo.serializers.DefaultSerializers$ClassSerializer.read(DefaultSerializers.java:226)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObjectOrNull(Kryo.java:745)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:113)
at org.apache.hive.com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:507)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:776)
at org.apache.hive.com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:139)
at org.apache.hive.com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:17)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:694)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:106)
at org.apache.hive.com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:507)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:776)
at org.apache.hive.com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:131)
at org.apache.hive.com.esotericsoftware.kryo.serializers.MapSerializer.read(MapSerializer.java:17)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:694)
at org.apache.hive.com.esotericsoftware.kryo.serializers.ObjectField.read(ObjectField.java:106)
at org.apache.hive.com.esotericsoftware.kryo.serializers.FieldSerializer.read(FieldSerializer.java:507)
at org.apache.hive.com.esotericsoftware.kryo.Kryo.readObject(Kryo.java:672)
at org.apache.hadoop.hive.ql.exec.spark.KryoSerializer.deserialize(KryoSerializer.java:49)
at org.apache.hadoop.hive.ql.exec.spark.RemoteHiveSparkClient$JobStatusJob.call(RemoteHiveSparkClient.java:318)
at org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:366)
at org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:335)
at java.util.concurrent.FutureTask.run(FutureTask.java:266)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Using hive i can do simple selects, but every other operation which needs spark ends with Error: Error while processing statement: FAILED: Execution Error, return code 3 from org.apache.hadoop.hive.ql.exec.spark.SparkTask (state=08S01,code=3) in console, and error above in yarn logs.
Now my every hive database is paralyzed (i have few). I was trying to solve this problem whole day, but couldnt do antything (hive restart, yarn node's restarts, changing yarn master).
What do you think causes the problem and how can it be solved?
I figured it out.
After restarting hive-server2 for small period of time instead of getting error: org.apache.hive.com.esotericsoftware.kryo.KryoException: Encountered unregistered class ID: 26 i got error: org.apache.hive.com.esotericsoftware.kryo.KryoException: Unable to find class: org.apache.hadoop.hive.ql.io.RCFileOutputFormat. With second form it was obvious, that spark executed on node's didn't have some jars on classpath. I don't know the reason, why spark in one moment was unable to load these jars, but after copying them manually to his lib folder on every node and restarting node everything went back to normal.
I am running hive sql on yarn,
it's throwing error with join condition , I am able to create External as well as internal table but failed to create table when use command
create table as AS SELECT name from student.
when running same query through hive cli it's working fine but with spring jog it throws error
2016-03-28 04:26:50,692 [Thread-17] WARN
org.apache.hadoop.hive.shims.HadoopShimsSecure - Can't fetch tasklog:
TaskLogServlet is not supported in MR2 mode.
Task with the most failures(4):
-----
Task ID:
task_1458863269455_90083_m_000638
-----
Diagnostic Messages for this Task:
AttemptID:attempt_1458863269455_90083_m_000638_3 Timed out after 1 secs
2016-03-28 04:26:50,842 [main] INFO
org.apache.hadoop.yarn.client.api.impl.YarnClientImpl - Killed application
application_1458863269455_90083
2016-03-28 04:26:50,849 [main] ERROR com.mapr.fs.MapRFileSystem - Failed to
delete path maprfs:/home/pro/amit/warehouse/scratdir/hive_2016-03-28_04-
24-32_038_8553676376881087939-1/_task_tmp.-mr-10003, error: No such file or
directory (2)
2016-03-28 04:26:50,852 [main] ERROR org.apache.hadoop.hive.ql.Driver -
FAILED: Execution Error, return code 2 from
As per my findings I think there is some issue with scratdir.
Kindly suggest if any one face same issue.
This issue occurs if the recursive directory doesnot exist. Hive doesnt automatically create directories recursively.
Please check existence of directories to child\table level from root
I faced a similar issue while running the below Hive query
select * from <db_name>.<internal_tbl_name> where <field_name_of_double_type> in (<list_of_double_values>) order by <list_of_order_fields> limit 10;
I performed an explain on the above statement and below was the result.
fs.FileUtil: Failed to delete file or dir [/hdfs/Hadoop_Misc_Logs/Edge01/local_scratch/<hive_username>/41289638-cd53-4d4b-88c9-3359e9ec99e2/hive_2017-05-08_04-26-36_658_6626096693992380903-1/.nfs0000000057b93e2d00001590]: it still exists.
2017-05-08 04:26:37,969 WARN [41289638-cd53-4d4b-88c9-3359e9ec99e2 main] fs.FileUtil: Failed to delete file or dir [/hdfs/Hadoop_Misc_Logs/Edge01/local_scratch/<hive_username>/41289638-cd53-4d4b-88c9-3359e9ec99e2/hive_2017-05-08_04-26-36_658_6626096693992380903-1/.nfs0000000057b93e2700001591]: it still exists.
Time taken: 0.886 seconds, Fetched: 24 row(s)
And checked the logs through
yarn logs -applicationID application_1458863269455_90083
The error happened after a MapR upgrade from the admin team. It is probably due to some upgrade or installation issue and Tez configurations (as suggested by the line 873 in log below). Or probably, the Hive query is syntactically not supporting the Tez optimization. Saying so, because another Hive query on an external table is running fine in my case. Have to check a bit deeper though.
Though not sure but the error line in the logs that looks to be most relevant is as follows:
2017-05-08 00:01:47,873 [ERROR] [main] |web.WebUIService|: Tez UI History URL is not set
Solution:
It is probably happening due to some open files or applications that are using some resources. Pls check https://unix.stackexchange.com/questions/11238/how-to-get-over-device-or-resource-busy
You can run the explain <your_Hive_statement>
In the result execution plan, you can come across the filenames/dirs that Hive execution engine fails to delete e.g.
2017-05-08 04:26:37,969 WARN [41289638-cd53-4d4b-88c9-3359e9ec99e2 main] fs.FileUtil: Failed to delete file or dir [/hdfs/Hadoop_Misc_Logs/Edge01/local_scratch/<hive_username>/41289638-cd53-4d4b-88c9-3359e9ec99e2/hive_2017-05-08_04-26-36_658_6626096693992380903-1/.nfs0000000057b93e2d00001590]: it still exists.
Go to the path given in the step 2 e.g. /hdfs/Hadoop_Misc_Logs/Edge01/local_scratch/<hive_username>/41289638-cd53-4d4b-88c9-3359e9ec99e2/hive_2017-05-08_04-26-36_658_6626096693992380903-1/
In path 3, doing ls -a or lsof +D /path will show the open process_ids blocking the files from delete.
If you run ps -ef | grep <pid>, you get
hive_username <pid> 19463 1 05:19 pts/8 00:00:35 /opt/mapr/tools/jdk1.7.0_51/jre/bin/java -Xmx256m -Dhiveserver2.auth=PAM -Dhiveserver2.authentication.pam.services=login -Dmapr_sec_enabled=true -Dhadoop.login=maprsasl -Djava.net.preferIPv4Stack=true -Dhadoop.log.dir=/opt/mapr/hadoop/hadoop-2.7.0/logs -Dhadoop.log.file=hadoop.log -Dhadoop.home.dir=/opt/mapr/hadoop/hadoop-2.7.0 -Dhadoop.id.str=hive_username -Dhadoop.root.logger=INFO,console -Djava.library.path=/opt/mapr/hadoop/hadoop-2.7.0/lib/native -Dhadoop.policy.file=hadoop-policy.xml -Djava.net.preferIPv4Stack=true -Xmx512m -Dlog4j.configurationFile=hive-log4j2.properties -Dlog4j.configurationFile=hive-log4j2.properties -Djava.util.logging.config.file=/opt/mapr/hive/hive-2.1/bin/../conf/parquet-logging.properties -Dhadoop.security.logger=INFO,NullAppender -Djava.security.auth.login.config=/opt/mapr/conf/mapr.login.conf -Dzookeeper.saslprovider=com.mapr.security.maprsasl.MaprSaslProvider -Djavax.net.ssl.trustStore=/opt/mapr/conf/ssl_truststore org.apache.hadoop.util.RunJar /opt/mapr/hive/hive-2.1//lib/hive-cli-2.1.1-mapr-1703.jar org.apache.hadoop.hive.cli.CliDriver
CONCLUSION:
The HiveCLiDriver clearly shows that running "Hive on Spark" (or managed) tables through Hive CLI is not supported any more from Hive 2.0 onwards and it is going to be deprecated going forward. You have to use HiveContext in Spark for running Hive queries. But you can still run queries on Hive external tables through Hive CLI.
I am trying to run a MapReduce streaming job that takes input files from directories in an s3 bucket that match a given pattern. The pattern is something like bucket-name/[date]/product/logs/[hour]/[logfilename]. An example log would be in a while like bucket-name/2013-05-02/product/logs/05/log123456789.
I can get the job to work by passing only the hour portion of the file name as a wildcard. For example: bucket-name/2013-05-02/product/logs/*/. This successfully picks each log file from each hour, and passes them individually to mappers.
The problem comes with I try to also make the date a wildcard, for example: bucket-name/*/product/logs/*/. When I do this, the job gets created but no tasks are created and eventually it fails. This error is printed in the syslog.
2013-05-02 08:03:41,549 ERROR org.apache.hadoop.streaming.StreamJob (main): Job not successful. Error: Job initialization failed:
java.lang.OutOfMemoryError: Java heap space
at java.util.regex.Matcher.<init>(Matcher.java:207)
at java.util.regex.Pattern.matcher(Pattern.java:888)
at org.apache.hadoop.conf.Configuration.substituteVars(Configuration.java:378)
at org.apache.hadoop.conf.Configuration.get(Configuration.java:418)
at org.apache.hadoop.conf.Configuration.getLong(Configuration.java:523)
at org.apache.hadoop.mapred.SkipBadRecords.getMapperMaxSkipRecords(SkipBadRecords.java:247)
at org.apache.hadoop.mapred.TaskInProgress.<init>(TaskInProgress.java:146)
at org.apache.hadoop.mapred.JobInProgress.initTasks(JobInProgress.java:722)
at org.apache.hadoop.mapred.JobTracker.initJob(JobTracker.java:4238)
at org.apache.hadoop.mapred.EagerTaskInitializationListener$InitJob.run(EagerTaskInitializationListener.java:79)
at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908)
at java.lang.Thread.run(Thread.java:662)
2013-05-02 08:03:41,549 INFO org.apache.hadoop.streaming.StreamJob (main): killJob...
On further testing, it looks like the multiple wildcard syntax works as expected in the command line client. I had trouble getting it to work at first, before realizing that requiring Ruby 1.8.7 meant it requires exactly Ruby 1.8.7, and nothing later.
Does anyone know about HPCC/HDFS connector.we are using both HPCC and HADOOP.There is one utility(HPCC/HDFS connector) developed by HPCC which allows HPCC cluster to acess HDFS data
i have installed the connector but when i run the program to acess data from hdfs it gives error as libhdfs.so.0 doesn't exist.
I tried to build libhdfs.so using command
ant compile-libhdfs -Dlibhdfs=1
its giving me error as
target "compile-libhdfs" does not exist in the project "hadoop"
i used one more command
ant compile-c++-libhdfs -Dlibhdfs=1
its giving error as
ivy-download:
[get] Getting: http://repo2.maven.org/maven2/org/apache/ivy/ivy/2.1.0/ivy-2.1.0.jar
[get] To: /home/hadoop/hadoop-0.20.203.0/ivy/ivy-2.1.0.jar
[get] Error getting http://repo2.maven.org/maven2/org/apache/ivy/ivy/2.1.0/ivy-2.1.0.jar
to /home/hadoop/hadoop-0.20.203.0/ivy/ivy-2.1.0.jar
BUILD FAILED java.net.ConnectException: Connection timed out
any suggestion will be a great help
Chhaya, you might not need to build libhdfs.so, depending on how you installed hadoop, you might already have it.
Check in HADOOP_LOCATION/c++/Linux-<arch>/lib/libhdfs.so, where HADOOP_LOCATION is your hadoop install location, and arch is the machine’s architecture (i386-32 or amd64-64).
Once you locate the lib, make sure the H2H connector is configured correctly (see page 4 here).
It's just a matter of updating the HADOOP_LOCATION var in the config file:
/opt/HPCCSystems/hdfsconnector.conf
good luck.
$hdfs dfs -rmr crawl
11/04/16 08:49:33 INFO security.Groups: Group mapping impl=org.apache.hadoop.security.ShellBasedUnixGroupsMapping; cacheTimeout=300000
I'm using hadoop-0.21.0 with the default Single Node Setup configuration.
It's not a warning, just a standard message. It shouldn't have been output at INFO level, however, because it does get printed with every message. In trunk it has been moved to DEBUG so you don't normally see it (in this JIRA). This will be incorporated into the next release.
It's just an INFO what's your problem?