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Amazon EMR
Amazon EMR Release Guide

Submit Pig Work

This section demonstrates submitting Pig work to an Amazon EMR cluster. The examples that follow are based on the Amazon EMR sample: Apache Log Analysis using Pig. The sample evaluates Apache log files and then generates a report containing the total bytes transferred, a list of the top 50 IP addresses, a list of the top 50 external referrers, and the top 50 search terms using Bing and Google. The Pig script is located in the Amazon S3 bucket s3://elasticmapreduce/samples/pig-apache/do-reports2.pig. Input data is located in the Amazon S3 bucket s3://elasticmapreduce/samples/pig-apache/input. The output is saved to an Amazon S3 bucket.

Important

For EMR 4.x or greater, you must copy and modify the Pig script do-reports.pig to make it work. In your modified script, replace the following line

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register file:/home/hadoop/lib/pig/piggybank.jar

with this:

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register file:/usr/lib/pig/lib/piggybank.jar

Then replace this script in your own bucket in Amazon S3.

Submit Pig Work Using the Amazon EMR Console

This example describes how to use the Amazon EMR console to add a Pig step to a cluster.

To submit a Pig step

  1. Open the Amazon EMR console at https://console.aws.amazon.com/elasticmapreduce/.

  2. In the Cluster List, select the name of your cluster.

  3. Scroll to the Steps section and expand it, then choose Add step.

  4. In the Add Step dialog:

    • For Step type, choose Pig program.

    • For Name, accept the default name (Pig program) or type a new name.

    • For Script S3 location, type the location of the Pig script. For example: s3://elasticmapreduce/samples/pig-apache/do-reports2.pig.

    • For Input S3 location, type the location of the input data. For example: s3://elasticmapreduce/samples/pig-apache/input.

    • For Output S3 location, type or browse to the name of your Amazon S3 output bucket.

    • For Arguments, leave the field blank.

    • For Action on failure, accept the default option (Continue).

  5. Choose Add. The step appears in the console with a status of Pending.

  6. The status of the step changes from Pending to Running to Completed as the step runs. To update the status, choose the Refresh icon above the Actions column.

Submit Pig Work Using the AWS CLI

To submit a Pig step using the AWS CLI

When you launch a cluster using the AWS CLI, use the --applications parameter to install Pig. To submit a Pig step, use the --steps parameter.

  • To launch a cluster with Pig installed and to submit a Pig step, type the following command, replace myKey with the name of your EC2 key pair, and replace mybucket with the name of your Amazon S3 bucket.

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      aws emr create-cluster --name "Test cluster" --release-label emr-5.6.0 --applications Name=Pig \ --use-default-roles --ec2-attributes KeyName=myKey --instance-type m3.xlarge --instance-count 3 \ --steps Type=PIG,Name="Pig Program",ActionOnFailure=CONTINUE,Args=[-f,s3://elasticmapreduce/samples/pig-apache/do-reports2.pig,-p,INPUT=s3://elasticmapreduce/samples/pig-apache/input,-p,OUTPUT=s3://mybucket/pig-apache/output]

      Note

      Linux line continuation characters (\) are included for readability. They can be removed or used in Linux commands. For Windows, remove them or replace with a caret (^).

    When you specify the instance count without using the --instance-groups parameter, a single master node is launched, and the remaining instances are launched as core nodes. All nodes use the instance type specified in the command.

    Note

    If you have not previously created the default EMR service role and EC2 instance profile, type aws emr create-default-roles to create them before typing the create-cluster subcommand.

    For more information about using Amazon EMR commands in the AWS CLI, see http://docs.aws.amazon.com/cli/latest/reference/emr.