GitHub - msgpack/msgpack-hadoop: MessagePack-Hadoop integration provides an efficient schema-free data representation for Hadoop and Hive.
MessagePack-Hadoop Integration ======================================== This package contains the bridge layer between MessagePack (http://msgpack.org) and Hadoop (http://hadoop.apache.org/) families. This enables you to run MR jobs on the MessagePack-formatted data, and also enables you to issue Hive query language over it. MessagePack-Hive adapter enables SQL-based adhoc-query, which takes *nest
How to specify mapred configurations & java options with custom jar in CLI using Amazon's EMR?
I would like to know how to specify mapreduce configurations such as mapred.task.timeout , mapred.min.split.size etc. , when running a streaming job using custom jar. We can use the following way to specify these configurations when we run using external scripting languages like ruby or python: ruby elastic-mapreduce -j --stream --step-name "mystream" --jobconf mapred.task.timeout=0 --jobconf mapr
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GitHub - mvallebr/CSVInputFormat: Input format for hadoop able to read multiline CSVs
Bitbucket
Hadoop input format for swallowing entire files.
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