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
This mi开发者_开发技巧ght be a really stupid question but I\'m not able to install pig properly on my machine.
I understand that Pig Latin is a data flow language. In that sense it should be theoretically possible to execute Pig Latin in any framework though currently and it is meant to be executed in a Hadoop
Here is the scenario Reducer1 / Mapper - - Reducer2 \\ ReducerN In reducer I want to write the data on different files, lets say the reducer looks like
I\'m using org.apache.hadoop.mapreduce.Job to create/submit/run a MR Job (Cloudera3, 20.2), and after it completes, in a separate application, I\'m trying to get the Job to grab the counters to do som
Closed. This question is seeking recommendations for books, tools开发者_如何学运维, software libraries, and more. It does not meet Stack Overflow guidelines. It is not currently accepting answers.
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
Row: Key, Family:Qualifier, Value Key, Family1:Qualifier, Value Key, Family2:Qualif开发者_JS百科ier, Value
I want to overwrite/reuse the existing output directory when I run my Hadoop job daily. Actually the output directory will stor开发者_开发知识库e summarized output of each day\'s job run results.
It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical andcannot be reasonably answered in its current form. For help clari
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