你能用hadoop-mapreduce-examples-2.2.0.jar做些什么?

时间:2014-02-14 17:46:01

标签: hadoop

我是Hadoop的新手,想了解安装时附带的jar文件。

我一直在使用hadoop-mapreduce-examples-2.2.0.jar运行wordcount测试。事情进展顺利但我想知道除了wordcount之外我还可以用这个jar文件或其他jar文件做什么?

1 个答案:

答案 0 :(得分:4)

您可以通过运行以下命令查看示例程序列表:

hadoop jar /path/to/hadoop-mapreduce-examples-2.2.0.jar

我的输出:

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.
dbcount: An example job that count the pageview counts from a database.
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 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.
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.