Difference between revisions of "MapR: Testing"
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Job Finished in 19.002 seconds | Job Finished in 19.002 seconds | ||
Estimated value of Pi is 3.20000000000000000000 | Estimated value of Pi is 3.20000000000000000000 | ||
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| + | == Test MapR with HiBench == | ||
| + | |||
| + | See [[HiBench Testing]] | ||
Latest revision as of 10:22, 27 March 2015
Test MapR Installation with pre-installed examples
[mapr@smuk01 ~]$ cd /opt/mapr/hadoop/hadoop-2.5.1/share/hadoop/mapreduce/
[mapr@smuk01 mapreduce]$ hadoop jar hadoop-mapreduce-examples-2.5.1-mapr-1501.jar
An example program must be given as the first argument.
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.
blocklocality: Checking Map job locality
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.
sleep: A job that sleeps at each map and reduce task.
sort: A map/reduce program that sorts the data written by the random writer.
sudoku: A sudoku solver.
terachecksum: Compute checksum of terasort output to compare with teragen checksum.
teragen: Generate data for the terasort
teragenwithcrc: Generate data for the terasort with CRC checksum
terasort: Run the terasort
terasortwithcrc: Run the terasort with CRC checksum
teravalidate: Checking results of terasort
teravalidaterecords: Checking results of terasort in terms of missing/duplicate records
teravalidatewithcrc: Checking results of terasort along with crc verification
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.
[mapr@smuk01 mapreduce]$ hadoop jar hadoop-mapreduce-examples-2.5.1-mapr-1501.jar pi 10 10
Number of Maps = 10
Samples per Map = 10
...
15/03/27 03:17:26 INFO mapreduce.Job: map 0% reduce 0%
15/03/27 03:17:30 INFO mapreduce.Job: map 10% reduce 0%
15/03/27 03:17:31 INFO mapreduce.Job: map 20% reduce 0%
15/03/27 03:17:32 INFO mapreduce.Job: map 40% reduce 0%
15/03/27 03:17:33 INFO mapreduce.Job: map 50% reduce 0%
15/03/27 03:17:34 INFO mapreduce.Job: map 80% reduce 0%
15/03/27 03:17:35 INFO mapreduce.Job: map 100% reduce 0%
15/03/27 03:17:39 INFO mapreduce.Job: map 100% reduce 100%
15/03/27 03:17:39 INFO mapreduce.Job: Job job_1427394736582_0325 completed successfully
...
Job Finished in 19.002 seconds
Estimated value of Pi is 3.20000000000000000000Test MapR with HiBench
See HiBench Testing