This is the documentation for CDH 5.0.x. Documentation for other versions is available at Cloudera Documentation.

Installing Pig

To install Pig On Red Hat-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 September 3, 2015.