I'm trying to launch bin/spark-shell and bin/pyspark from laptop, connecting to Yarn cluster in yarn-client mode, and I get the same error
WARN ScriptBasedMapping: Exception running
/etc/hadoop/conf.cloudera.yarn1/topology.py 10.0.240.71
java.io.IOException: Cannot run program "/etc/hadoop/conf.cloudera.yarn1/topology.py"
(in directory "/Users/eugenezhulenev/projects/cloudera/spark"): error=2,
No such file or directory
Spark is trying to run /etc/hadoop/conf.cloudera.yarn1/topology.py on my laptop, but not on worker node in Yarn.
This problem appeared after update from Spark 1.2.0 to 1.3.0 (CDH 5.4.2)
The following steps is a temporarily work-around for this issue on CDH 5.4.4
cd ~
mkdir -p test-spark/
cd test-spark/
Then copy all files from /etc/hadoop/conf.clouder.yarn1 from one worker node to the above (local) directory. And then run spark-shell from ~/test-spark/
The problem is related with infrastructure where Hadoop conf files are not copied as Spark conf file on all nodes. Some of the node may be missing those files and if you are using that particular node where these files are missing you will hit this problem.
When spark starts it looks for the conf files:
1. first at the same location where HADOOP_CONF is located
2. If above 1 location is missing then look at the location from where the spark is started
To solve this problem get the missing folder and look at other nodes and if available on other nodes, copy to the node you where you see the problem. Otherwise you can just copy the hadoop conf folders as yarn conf in the same location to solve this problem.
Related
I am a new pyspark user.
I just downloaded and installed a spark cluster ("spark-2.0.2-bin-hadoop2.7.tgz")
after installation I wanted to access the file system (upload local files to cluster). But when I tried to type hadoop or hdfs in command it will say "no command found".
Am I gonna install hadoop/HDFS (I thought it's built in the spark, I don't get)?
Thanks in advance.
You have to install hadoop first to access HDFS.
Follow this http://www.michael-noll.com/tutorials/running-hadoop-on-ubuntu-linux-single-node-cluster/
Choose the latest version of hadoop from the apache site.
Once you done with hadoop setup go to spark http://d3kbcqa49mib13.cloudfront.net/spark-2.0.2-bin-hadoop2.7.tgz download this, Extract files. Setup java_home and hadoop_home in spark-env.sh.
You don't have hdfs or hadoop on classpath so this is the reason why you are getting message: "no command found".
If you run \yourparh\hadoop-2.7.1\bin\hdfs dfs -ls / it should works and show root content.
But, You can add your hadoop/bin (hdfs, hadoop ...) commands to classpath with something like this:
export PATH $PATH:$HADOOP_HOME/bin
where HADOOP_HOME is your env. variable with path to hadoop installation folder (download and install is required)
I have a small cluster (4 machines) set up with 3 slaves and a master node, all installed to /home/spark/spark. (I.e, $SPARK_HOME is /home/spark/spark)
When I use the spark shell: /home/spark/spark/bin/pyspark --master spark://192.168.0.11:7077 everything works fine. However I'd like for my colleagues to be able to connect to the cluster from a local instance of spark on their machine installed in whatever directory they wish.
Currently if somebody has spark installed in say /home/user12/spark and run /home/user12/spark/bin/pyspark --master spark://192.168.0.11:7077 the spark shell will connect to the master without problems but fails with an error when I try to run code:
class java.io.IOException: Cannot run program
"/home/user12/bin/compute-classpath.sh"
(in directory "."): error=2, No such file or directory)
The problem here is that Spark is looking for the spark installation in /home/user12/spark/, where as I'd like to just tell spark to look in /home/spark/spark/ instead.
How do I do this?
You need to edit three files, spark-submit, spark-class and pyspark (all in the bin folder).
Find the line
export SPARK_HOME = [...]
Then change it to
SPARK_HOME = [...]
Finally make sure you set SPARK_HOME to the directory where spark is installed on the cluster.
This works for me.
Here you can find a detailed explanation.
http://apache-spark-user-list.1001560.n3.nabble.com/executor-failed-cannot-find-compute-classpath-sh-td859.html
I have a Mesos cluster setup -- I have verified that the master can see the slaves -- but when I attempt to run a Hadoop job, all tasks wind up with a status of LOST. The same error is present in all the slave stderr logs:
Error: Could not find or load main class org.apache.hadoop.mapred.MesosExecutor
and that is the only line in the stderr logs.
Following the instructions on http://mesosphere.io/learn/run-hadoop-on-mesos/, I have put a modified Hadoop distribution on HDFS which each slave can access.
In the lib directory of the Hadoop distribution, I have added hadoop-mesos-0.0.4.jar and mesos-0.14.2.jar.
I have verified that each slave does in fact download this Hadoop distribution, and that hadoop-mesos-0.0.4.jar contains the class org.apache.hadoop.mapred.MesosExecutor, so I cannot figure out why the class cannot be found.
I am using Hadoop from CDH4.4.0 and mesos-0.15.0-rc4.
Does any one have any suggestions as to what might be the problem? I know I would always start with a CLASSPATH problem, but, in this case, the mesos-slave is downloading, unpacking, and attempting to run a Hadoop TaskTracker so I would imagine any CLASSPATH would be setup by the mesos-slave.
In the stdout of the slave logs, the environment is printed. There is a MESOS_HADOOP_HOME which is empty. Should this be set to something? If it is supposed to be set to the downloaded Hadoop distribution, I cannot set it in advance because the Hadoop distribution is downloaded to a new location every time.
In the event that is related (some permissions issue maybe), when attempting to browse slave logs via the master UI, I get the error Error browsing path: ....
The user running mesos-slave can browse to the correct directory when I do so manually.
I found the problem. bin/hadoop of the downloaded Hadoop distribution attempts to find its location by running which $0. However, that will find a current Hadoop installation if one exists (i.e. /usr/lib/hadoop), and will load the jars under that installation's lib directory instead of the downloaded one's lib directory.
I had to modify bin/hadoop of the downloaded distribution to find its own location with dirname $0 instead of which $0.
I run Hadoop cluster and I'm interested to install one more machine with DFSClient only.
This machine (lets call it machine X) will not be a part of the cluster.
Machine X will run DFSClient and I should be able to see HDFS from it.
In order to install DFSClient, I copied Hadoop home directory from one of cluster's node to machine X (including .jar files and configuration).
Then I run:
hadoop fs -ls /
I get the local ROOT directory (not HDFS ROOT).
What am I doing wrong?
Copy hdfs-site.xml and place in a folder under your local linux account home dir. Then ensure that your name node (default.fs.name) is pointing to the remote namenode. Then try hadoop --config <your_config_folder> fs -ls / where your_config_folder is where you placed your hdfs-site.xml.
Technically it should work if the following steps are done
If you have copied the configuration files(*.xml) from the hadoop cluster.
HADOOP_HOME set with the copied hadoop path.
Machine X should have access to the cluster network
Hi I am trying to run hadoop on a server that has hadoop installed but I have no idea the directory where hadoop resides. The server was configure by the server admin.
In order to load hadoop I use the use command from the dotkit package.
There may be several solutions but wanted to know where the hadoop package was installed, how to set up the $HADOOP_HOME variable, and how to approp run a hadoop streaming job, such as $HADOOP_HOME/bin/hadoop jar $HADOOP_HOME/mapred/contrib/streaming/hadoop-streaming.jar, aka, http://wiki.apache.org/hadoop/HadoopStreaming.
Thanks! any help would be greatly appreciated!
If you're using a cloudera distribution then it's most probably in /usr/lib/hadoop, otherwise it could be anywhere (at the discretion of your system admin).
There are some tricks you can use to try and locate it:
locate hadoop-env.sh (assuming that locate has been installed and updatedb has been run recently)
If the machine you're running this on is running a hadoop service (such as data node, job tracker, task tracker, name node), then you can perform a process list and grep for the hadoop command: ps axww | grep hadoop
Failing the above two, look for the hadoop root directory in some common locations such as: /usr/lib, /usr/local, /opt
Failing all this, and assuming your current user has the permissions: find / -name hadoop-env.sh
If you're install with rpm then it's most probably in /etc/hadoop.
Why don't you try:
echo $HADOOP_HOME
Obiviously the above env variable has to be set before you could even issue hadoop executables from anywhere on the box.