Bright:Testing Hadoop

Bright's Hadoop Tests

Automatic tests:

cd /cm/local/apps/cluster-tools/hadoop/
./cm-hadoop-tests.sh <instance> # instance is boston-hdfs in our case
# only worked on the nodes after I remove cluster-tools-slave then installed cluster-tools (hadoop setup on 4 compute nodes, not on headnode) 
rpm -e cluster-tools-slave-7.0-41_cm7.0.noarch
yum install cluster-tools-7.0-4764_cm7.0.noarch

End User test runs:

• Firstly, you must give the user access to the Hadoop instance:

 [bright70->user[fred]]% set hadoophdfsaccess boston-hdfs; commit

• Then the user can run the tests like this:

[fred@bright70 ~]$ module load hadoop/hdfs1/Hortonworks/2.6.0.2.2.0.0-2041
[fred@bright70 ~]$ module load zookeeper/hdfs1/Hortonworks/3.4.6.2.2.0.0-2041
[fred@bright70 ~]$ module load hbase/hdfs1/Hortonworks/0.98.4.2.2.0.0-2041-hadoop2
[fred@bright70 ~]$ hadoop jar $HADOOP_PREFIX/share/hadoop/mapreduce/hhadoop-mapreduce-examples-2.6.0.2.2.0.0-2041.jar pi 1 5
...
Job Finished in 19.732 seconds
Estimated value of Pi is 4.00000000000000000000
[fred@bright70 ~]$ hadoop jar $HADOOP_PREFIX/share/hadoop/mapreduce/hhadoop-mapreduce-examples-2.6.0.2.2.0.0-2041.jar pi <numMappers> <numSamplesPerMapper>

• Do some basic HDFS checks (lots more info here: http://wiki.bostonlabs.co.uk/w/index.php?title=Hortonworks_HDP:_Using_the_command_line_to_manage_files_on_HDFS)

[david@openstack1 bin]$ cd $HADOOP_PREFIX/bin
[david@openstack1 bin]$ ./hadoop fs -ls /
Found 5 items
drwx------   - root  hadoop          0 2015-06-06 15:02 /accumulo
drwx------   - hbase hadoop          0 2015-06-06 15:28 /hbase
drwxrwxrwt   - hdfs  hadoop          0 2015-06-06 15:44 /staging
drwxrwxrwt   - hdfs  hadoop          0 2015-06-06 15:01 /tmp
drwxr-xr-x   - hdfs  hadoop          0 2015-06-06 15:42 /user

List of All Tests Available

[david@openstack1 ~]$ hadoop jar /cm/shared/apps/hadoop/ubs-test/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.6.0.2.2.0.0-2041.jar -h
Unknown program '-h' chosen.
Valid program names are:
  aggregatewordcount: An Aggregate based map/reduce program that counts the words in the input files.
  aggregatewordhist: An Aggregate based map/reduce program that computes the histogram of the words in the input files.
  bbp: A map/reduce program that uses Bailey-Borwein-Plouffe to compute exact digits of Pi.
  dbcount: An example job that count the pageview counts from a database.
  distbbp: A map/reduce program that uses a BBP-type formula to compute exact bits of Pi.
  grep: A map/reduce program that counts the matches of a regex in the input.
  join: A job that effects a join over sorted, equally partitioned datasets
  multifilewc: A job that counts words from several files.
  pentomino: A map/reduce tile laying program to find solutions to pentomino problems.
  pi: A map/reduce program that estimates Pi using a quasi-Monte Carlo method.
  randomtextwriter: A map/reduce program that writes 10GB of random textual data per node.
  randomwriter: A map/reduce program that writes 10GB of random data per node.
  secondarysort: An example defining a secondary sort to the reduce.
  sort: A map/reduce program that sorts the data written by the random writer.
  sudoku: A sudoku solver.
  teragen: Generate data for the terasort
  terasort: Run the terasort
  teravalidate: Checking results of terasort
  wordcount: A map/reduce program that counts the words in the input files.
  wordmean: A map/reduce program that counts the average length of the words in the input files.
  wordmedian: A map/reduce program that counts the median length of the words in the input files.
  wordstandarddeviation: A map/reduce program that counts the standard deviation of the length of the words in the input files.