I'm running a oozie workflow with some bash scripts in a hadoop environment (Hadoop 2.7.3). but my workflow is failing because my shell action get an error. After save the commands output in a file as a log I found in it the next entry:
moveToLocal: Option '-moveToLocal' is not implemented yet.
After I get this error my shell action fails becouse it takes this as an error and fails the entire action?
Also that line means that my current version of hadoop (2.7.3) doesn't support that command?
According to the documentation for 2.7.3 hadoop version:
https://hadoop.apache.org/docs/r2.7.3/hadoop-project-dist/hadoop-common/FileSystemShell.html#moveToLocal
Says this command is not support it yet. Now, my shell action take it as an exception and terminate the shell script. I'm changing that command for an equivalent.
Related
I am working on a storm application and need to pass env & cloud info using vmargs.
Program args raises security issues, since I am setting those values using System.setproperty & properties file I can't use. Vmargs don't work with storm.
Any idea what else I can do?
I assume you are running storm in cluster mode on a remote machine.
In this case, storm suggests you to use the storm jar command. It is true, that this by default accepts just a few arguments since it is internally using a python script that is calling java.
But it seems to be possible to start storm with a java command as well and pass command line commands to that - see this link.
Another method to pass some variables to topology is the environment variable substitution in a flux file and run
name: topo${ENV-YOURVAR}
when run in bash looks like:
export YOURVAR=test
storm jar yourtopo.jar org.apache.storm.flux.Flux yourtopo.flux -e
Flag -e tells storm to substitute environment variables in the flux file
I have to test some code using Spark and I'm pretty new to it.
The code I have runs an ETL script on a cluster. The ETL script is written in Python and have several prints in it but I'm unable to see those prints. The Python script is added to the spark-submit in the --py-files tag. I don't if those prints are unreachable since they are happening in the YARN executors and I should change them to logs and use log4j or add them to an accumulator reachable by the driver.
Any suggestions would help.
The final goal is to see how the execution of the code is going.I don't know if simple prints is the best solution but it was already in the code I was given to test.
i am trying to run shell script from oozie, when i am using hadoop commands inside shell script, it's working fine but when i am trying to run local commands, i am getting no such file or directory exception.
Example:
sample.sh
hadoop fs -touchz /user/123/test.txt
this script is working, when i use NFS path or local path i am getting
"No such file or directory" exception,
Example:
sample.sh
touch /HDFS/user/123/test.txt
is there anything i am missing, please let me know, '/HDFS' is NFS path.
The thing is all the Oozie workflows will be executed by the Oozie server so if you have the directory /HDFS/user/123 created already in the Oozie server, it will work.
So the solution to make it work would be configuring the NFS to work with (attach) the Oozie server.
Update
After clarifying some of my own unknowns, what I had mentioned above is not entirely correct. Here is my updated answer:
When you, the client, submit the Oozie job, with YARN, it goes to the ResourceManager which then negotiates and routes it to any of the NodeManagers, so for your case to work, you would have to have the NFS mount configured on all of the NodeManagers to work properly.
I am getting this error with a mostly out of the box configuration from
version 0.20.203.0
Where should I look for a potential issue. Most of the configuration is out of the box. I was able to visit the local websites for hdfs, task manager.
I am guessing the error is related to a permissions issue on cygwin and windows. Also, googling the problem, they say there might be some kind of out of memory issue. It is such a simple example, I don't see how that could be.
When I try to run the wordcount examples.
$ hadoop jar hadoop-examples-0.20.203.0.jar wordcount /user/hduser/gutenberg /user/hduser/gutenberg-output6
I get this error:
2011-08-12 15:45:38,299 WARN org.apache.hadoop.mapred.TaskRunner:
attempt_201108121544_0001_m_000008_2 : Child Error
java.io.IOException: Task process exit with nonzero status of 127.
at org.apache.hadoop.mapred.TaskRunner.run(TaskRunner.java:258)
2011-08-12 15:45:38,878 WARN org.apache.hadoop.mapred.TaskLog: Failed to
retrieve stdout log for task: attempt_201108121544_0001_m_000008_1
java.io.FileNotFoundException:
E:\projects\workspace_mar11\ParseLogCriticalErrors\lib\h\logs\userlogs\j
ob_201108121544_0001\attempt_201108121544_0001_m_000008_1\log.index (The
system cannot find the file specified)
at java.io.FileInputStream.open(Native Method)
at java.io.FileInputStream.<init>(FileInputStream.java:106)
at
org.apache.hadoop.io.SecureIOUtils.openForRead(SecureIOUtils.java:102)
at
org.apache.hadoop.mapred.TaskLog.getAllLogsFileDetails(TaskLog.java:112)
...
The userlogs/job* directory is empty. Maybe there is some permission
issue with those directories.
I am running on windows with cygwin so I don't really know permissions
to set.
I couldn't figure out this problem with the current version of hadoop. I reverted from the current version and went to a previous release, hadoop-0.20.2. I had to play around with the core-site.xml configuration file and temp directories but I eventually got the hdfs and map reduce to work properly.
The issue seems to be cygwin, windows and the drive setup that I was using. Hadoop launches a new JVM process when it tries to invoke a 'child' map/reduce task. The actual jvm execute statement is in some shell script.
In my case, hadoop couldn't find the path to the shell script. I am assuming that status code 127 error was the result of the Java Runtime execute not finding the shell script.
I'm new to the hadoop technologies .How to run the simple program through command line.I'm using windows environment.I install the Cygwin.Can you help me ...
Try the below URLs.
http://v-lad.org/Tutorials/Hadoop/00%20-%20Intro.html
http://hayesdavis.net/2008/06/14/running-hadoop-on-windows/
If you are new to Hadoop, try using one of the IDE plugins. This will help you get started quickly.
http://karmasphere.com/Studio-Eclipse/quick-click-guide.html
http://wiki.apache.org/hadoop/EclipsePlugIn
FYI ..... Hadoop on Windows is not recommended for Production.
Are your program written in Java? If so, you need to compile your program and pack the compiled files into a Jar file. And then run the program with hadoop command:
${hadoop_home}/bin/hadoop jar ${your_program_jar_file} ${main_class_of_jar}
You can run the Hadoop commands from anywhere in the terminal/command line, but only if the $path variable is set properly.
The syntax would be like this:
hadoop fs -<command> or hdfs fs -<command>
You review the docs for more information.