I'm new to hadoop. I want to do stress/performance test on hadoop cluster. To do that, I followed the instructions given at Hadoop benchmarking. The difference is that in tutorial he is talking about hadoop 0.20.0 version and I'm trying to run similar thing in hadoop 2.4.0. I understand tutorial might not work fully, as there are many changes in version. For performing IO performance test on Hadoop, in tutorial he told me to use TestDFSIO. But I can't find the same in my hadoop installation.
To find TestDFSIO, I tried following command,
jar tf /home/hadoop/share/hadoop/hdfs/hadoop-hdfs-2.4.0-tests.jar|grep TestDFS
But couldn't find it. So, I assume I the filename is changed in newer version. Can somebody help in finding the new filename? or equivalent benchmarking techniques required for hadoop 2.4.0?
Found the jar which has TestDFSIO and other bench-marking classes/code. It is present in
/home/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-2.4.0-tests.jar
Here /home/hadoop is my hadoop installed path. It may not be same for you.
Related
I am new to Hadoop and am trying to execute the WordCount Problem.
Things I did so far -
Setting up the Hadoop Single Node cluster referring the below link.
http://www.bogotobogo.com/Hadoop/BigData_hadoop_Install_on_ubuntu_single_node_cluster.php
Write the word count problem referring the below link
https://kishorer.in/2014/10/22/running-a-wordcount-mapreduce-example-in-hadoop-2-4-1-single-node-cluster-in-ubuntu-14-04-64-bit/
Problem is when I execute the last line to run the program -
hadoop jar wordcount.jar /usr/local/hadoop/input /usr/local/hadoop/output
Following is the error I get -
The directory seems to be present
The file is also present in the directory with contents
Finally, on a side note I also tried the following directory sturcture in the jar command.
No avail! :/
I would really appreciate if someone could guide me here!
Regards,
Paul Alwin
Your first image is using input from the local Hadoop installation directory, /usr
If you want to use that data on your local filesystem, you can specify file:///usr/...
Otherwise, if you're running pseudo distributed mode, HDFS has been setup, and /usr does not exist in HDFS unless you explicitly created it there.
Based on the stacktrace, I believe the error comes from the /app/hadoop/ staging directory path not existing, or the permissions for it are not allowing your current user to run commands against that path
Suggestion: Hortonworks and Cloudera offer pre-built VirtualBox images and lots of tutorial resources. Most companies will have Hadoop from one of those vendors, so it's better to get familiar with that rather than mess around with having to install Hadoop yourself from scratch, in my opinion
I'm working with Windows and trying to set up Spark.
Previously I installed Hadoop in addition to Spark, edited the config files, run the hadoop namenode -format and away we went.
I'm now trying to achieve the same by using the bundled version of Spark that is pre built with hadoop - spark-1.6.1-bin-hadoop2.6.tgz
So far it's been a much cleaner, simpler process however I no longer have access to the command that creates the hdfs, the config files for the hdfs are no longer present and I've no 'hadoop' in any of the bin folders.
There wasn't an Hadoop folder in the spark install, I created one for the purpose of winutils.exe.
It feels like I've missed something. Do the pre-built versions of spark not include hadoop? Is this functionality missing from this variant or is there something else that I'm overlooking?
Thanks for any help.
By saying that Spark is built with Hadoop, it is meant that Spark is built with the dependencies of Hadoop, i.e. with the clients for accessing Hadoop (or HDFS, to be more precise).
Thus, if you use a version of Spark which is built for Hadoop 2.6 you will be able to access HDFS filesystem of a cluster with the version 2.6 of Hadoop via Spark.
It doesn't mean that Hadoop is part of the pakage and downloading it Hadoop is installed as well. You have to install Hadoop separately.
If you download a Spark release without Hadoop support, you'll need to include the Hadoop client libraries in all the applications you write wiìhich are supposed to access HDFS (by a textFile for instance).
I am also using same spark in my windows 10. What I have done create C:\winutils\bin directory and put winutils.exe there. Than create HADOOP_HOME=C:\winutils variable. If you have set all
env variables and PATH like SPARK_HOME,HADOOP_HOME etc than it should work.
I have zero experience with Hadoop, but suddenly have to use it at work with Spark on Windows. My question, which has been asked a few times here, but I never could quite get the syntax for what I need, is this. I'm trying to transfer a simple file called:
gensortText.txt which let's say is at c:\gensortText.txt
I know you can use hadoop fs -copyFromLocal. I've tried these things:
hadoop fs -copyFromLocal C:\gensortText.txt hdfs://0.0.0.0:19000
ERROR: Relative path in absolute URI.
hadoop fs -copyFromLocal C:\gensortOutText.txt \tmp\hadoop-Administrator\dfs
ERROR: copyFromLocal: `tmphadoop-Administratordfs': No such file or directory
and a number of other variations with hdfs: and using the tmp directory which all returned similar errors.
I have hadoop in c:\deploy as suggested in the Hadoop2Windows guide (which works and allowed me to run Hadoop. I can access the WebGui and all that). Hadoop has created my new HDFS at c:\temp. Please someone help me figure out how to transfer files into the system. It can even be manually if that's possible, but that doesn't seem to work as it doesn't show up in the Web GUI when I go to "Utilities->Browse the Filesystem". Nothing shows up there actually.
Can someone please help. Any information that's relevant I can provide, but I'm so new to this I don't really know what would be helpful. I think it's just my syntax for the cmdline tool. Can someone give me a concrete example of how to use hadoop -fs copyFromLocal or another simple way to do this? Sorry for my ignorance on the subject, and thanks for any help
To be able to run hadoop commands on Windows you need to have winutils installed and visible to hadoop process.
I have to connect pig to a hadoop which changed a little from Hadoop 0.20.0. I choose pig 0.7.0, and setting PIG_CLASSPATH by
export PIG_CLASSPATH=$HADOOP_HOME/conf
when I run pig, an error is reported like this:
ERROR org.apache.pig.Main - ERROR 2999: Unexpected internal error. Failed to create DataStorage
So, I copy hadoop-core.jar in $HADOOP_HOME to overwrite hadoop20.jar in $PIG_HOME/lib, then "ant". Now, I can run pig, but when I use dump or store, another error:
Pig Stack Trace
---------------
ERROR 2998: Unhandled internal error. org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.setOutputPath(Lorg/apache/hadoop/mapreduce/Job;Lorg/apache/ hadoop/fs/Path;)V
java.lang.NoSuchMethodError: org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.setOutputPath(Lorg/apache/hadoop/mapreduce/Job;Lorg/apache/hadoop/fs/ Path;)V
at org.apache.pig.builtin.BinStorage.setStoreLocation(BinStorage.java:369)
...
at org.apache.pig.tools.grunt.Grunt.run(Grunt.java:75)
at org.apache.pig.Main.main(Main.java:357)
================================================================================
Does anyone have encountered this error, or is my compile way not right?
Thanks.
There is a section about this issue in the Pig FAQ which should give you a good idea what's wrong. Here is the outline taken from this page:
This usually happens when you are connecting hadoop cluster other than standard Apache hadoop 20.2 release. Pig bundles standard hadoop 20.2 jars in release. If you want to connect to other version of hadoop cluster, you need to replace bundled hadoop 20.2 jars with compatible jars. You can try:
do "ant"
copy hadoop jars from your hadoop installation to overwrite ivy/lib/Pig/hadoop-core-0.20.2.jar and ivy/lib/Pig/hadoop-test-0.20.2.jar
do "ant" again
cp pig.jar to overwrite pig-*-core.jar
Some other tricks is also possible. You can use "bin/pig -secretDebugCmd" to inspect the command line of Pig. Make sure you are using the right version of hadoop.
As pointed in this FAQ section, if nothing works I would advise just upgrading to a recent version of Pig after 0.9.1, Pig 0.7 is a bit old.
The Pig (core) jar has a bundled Hadoop dependency, which may differ from the version you want to use. If you have an old Pig version (< 0.9) the you have the option, to build a jar without Hadoop:
cd $PIG_HOME
ant jar-withouthadoop
cp $PIG_HOME/build/pig-x.x.x-dev-withouthadoop.jar $PIG_HOME
Then start Pig:
cd $PIG_HOME/bin
export PIG_CLASSPATH=$HADOOP_HOME/hadoop-core-x.x.x.jar:$HADOOP_HOME/lib/*:$HADOOP_HOME/conf:$PIG_HOME/pig-x.x.x-dev-withouthadoop.jar; ./pig
Newer Pig versions contain the prebuilt withouthadoop version (see this ticket) so you can skip the building process. Furthermore when you run pig it will pick up the withouthadoop jar from PIG_HOME rather than the bundled version, so you don't need to add withouthadoop.jar
to the PIG_CLASSPATH either (provided, that you run Pig from $PIG_HOME/bin)
..Back to your question:
Hadoop 0.20 and its modified variant (0.20-append?) can work even with the latest Pig distribution (0.11.1) :
You just need to do the followings:
unpack Pig 0.11.1
cd $PIG_HOME/bin
export PIG_CLASSPATH=$HADOOP_HOME/hadoop-core-x.x.jar:$HADOOP_HOME/lib/*:$HADOOP_HOME/conf; ./pig
If you still get "Failed to create DataStorage" it's worth to start Pig with -secretDebugCmd as Charles Menguy suggested, so that you
can see whether Pig gets the right Hadoop version..etc.
Did you remember to run start-all.sh from /usr/local/bin? I ran into the same problem and I basically retraced my steps in configuring Hadoop itself. I am able to use Pig now.
I'm working on a hadoop cluster with CDH4.2.0 installed and ran into this error. It's been fixed in later versions of hadoop but I don't have access to update the cluster. Is there a way to tell hadoop to use this jar when running my job through the command line arguments like
hadoop jar MyJob.jar -D hadoop.mapreduce.client=hadoop-mapreduce-client-core-2.0.0-cdh4.2.0.jar
where the new mapreduce-client-core.jar file is the patched jar from the ticket. Or must hadoop be completely recompiled with this new jar? I'm new to hadoop so I don't know all the command line options that are possible.
I'm not sure how that would work as when you're executing the hadoop command you're actually executing code in the client jar.
Can you not use MR1? The issue says this issue only occurs when you're using MR2, so unless you really need Yarn you're probably better using the MR1 library to run your map/reduce.