Initialize Ganglia on a Job Flow

To set up Ganglia monitoring on a job flow, you must specify the Ganglia bootstrap action when you create the job flow. Amazon Elastic MapReduce (Amazon EMR) then installs the monitoring agents and the aggregator that Ganglia uses to report data.

	Note
	You cannot add Ganglia monitoring to a job flow that is already running.

When you create a new job flow, you can use the CLI to specify the Ganglia bootstrap action, by adding the following parameter to your job flow call:

--bootstrap-action s3://elasticmapreduce/bootstrap-actions/install-ganglia

The following command illustrates the use of the bootstrap-action parameter when starting a new job flow. In this example, you start the Word Count sample job flow provided by Amazon EMR and launch three instances.

elastic-mapreduce --create --alive --instance-type m1.xlarge --num-instances 3 \
--bootstrap-action s3://elasticmapreduce/bootstrap-actions/install-ganglia --stream \
--input s3://elasticmapreduce/samples/wordcount/input \
--output s3://myawsbucket/wordcount/output/2012-04-19 \
--mapper s3://elasticmapreduce/samples/wordcount/wordSplitter.py --reducer aggregate		

Where output-bucket is an S3 bucket to receive the job flow output.