I have seen Ganglia monitoring being implemented and analyzed on grid computing projects, but haven\'t read about any procedure for Amazon Elastic Mapreduce programs. Ganglia has a lot of metrics, but
I\'ve written a Hadoop program which requires a certain layout within HDFS, and which afterwards, I need to get the files out of HDFS.It works on my single-node Hadoop setup and I\'m eager to get it w
I\'ve been able to kick off job flows using the elastic-mapreduce ruby library just fine. Now I have an instance which is still \'alive\' after it\'s jobs have finished. I\'ve logged in to is using SS
When following the tutorial instructions for connecting to my JobFlow in EMR, I type following: ./elastic-mapreduce --jobflow j-3FLVMX9CYE5L6 --ssh
What should I change to fix following error: I\'m trying to start a job on Elastic Mapreduce, and it crashes every time with message:
Through the UI Amazon\'s framework allows me to create jobs with multiple inputs by specifying multiple --input lines. e.g.:
I have a Pig job which analyzes log files and write summary output to S3. Instead of writing the output to S3, I want to convert it to a JSON payload and POST it to a URL.
I have a website set up on an EC2 instance which lets users view info from 4 of their social networks.
To avoid the overhead of setting up instances everytime I submit a job, I use a jobflow that\'s always in waiting mode after each job completion.However, according to this page, \"a maximum of 256 ste
When files are transferred to nodes using the distributed ca开发者_如何转开发che mechanism in a Hadoop streaming job, does the system delete these files after a job is completed? If they are deleted,
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