This is the documentation for Cloudera Enterprise 5.8.x. Documentation for other versions is available at Cloudera Documentation.

Installing Pig

  Note: Install Cloudera Repository
Before using the instructions on this page to install or upgrade:
  • Install the Cloudera yum, zypper/YaST or apt repository.
  • Install or upgrade CDH 5 and make sure it is functioning correctly.
For instructions, see Installing the Latest CDH 5 Release and Upgrading Unmanaged CDH Using the Command Line.

To install Pig On RHEL-compatible systems:

$ sudo yum install pig

To install Pig on SLES systems:

$ sudo zypper install pig

To install Pig on Ubuntu and other Debian systems:

$ sudo apt-get install pig
  Note:

Pig automatically uses the active Hadoop configuration (whether standalone, pseudo-distributed mode, or distributed). After installing the Pig package, you can start Pig.

To start Pig in interactive mode (YARN)

  Important:
  • For each user who will be submitting MapReduce jobs using MapReduce v2 (YARN), or running Pig, Hive, or Sqoop in a YARN installation, make sure that the HADOOP_MAPRED_HOME environment variable is set correctly, as follows: 
    $ export HADOOP_MAPRED_HOME=/usr/lib/hadoop-mapreduce
  • For each user who will be submitting MapReduce jobs using MapReduce v1 (MRv1), or running Pig, Hive, or Sqoop in an MRv1 installation, set the HADOOP_MAPRED_HOME environment variable as follows: 
    $ export HADOOP_MAPRED_HOME=/usr/lib/hadoop-0.20-mapreduce

To start Pig, use the following command.

$ pig

To start Pig in interactive mode (MRv1)

Use the following command:

$ pig
You should see output similar to the following: 
2012-02-08 23:39:41,819 [main] INFO  org.apache.pig.Main - Logging error messages to: /home/arvind/pig-0.11.0-cdh5b1/bin/pig_1328773181817.log
2012-02-08 23:39:41,994 [main] INFO  org.apache.pig.backend.hadoop.executionengine.HExecutionEngine - Connecting to hadoop file system at: hdfs://localhost/
...
grunt>

Examples

To verify that the input and output directories from the YARN or MRv1 example grep job exist, list an HDFS directory from the Grunt Shell: 
grunt> ls
hdfs://localhost/user/joe/input <dir>
hdfs://localhost/user/joe/output <dir>
To run a grep example job using Pig for grep inputs: 
grunt> A = LOAD 'input';
grunt> B = FILTER A BY $0 MATCHES '.*dfs[a-z.]+.*';
grunt> DUMP B;
  Note:

To check the status of your job while it is running, look at the ResourceManager web console (YARN) or JobTracker web console (MRv1).

Page generated July 8, 2016.