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Amazon Elastic MapReduce Upgrades Hadoop, Hive and Pig

Amazon upgraded the set of tools to work with NoSQL data (and not only):

Customers can now take advantage of improved Hadoop performance and the following new features:

  • Multiple inputs class for reading multiple types of data.
  • Multiple outputs class for writing multiple types of data.
  • ChainMapper and ChainReducer which allows users to perform M+RM* within one Hadoop job. Previously customers could only run one mapper and one reducer per job.
  • Skip bad records in the dataset that cause jobs to fail. This allows a job to complete even if some records in a dataset are erroneous.
  • JVM reuse across task boundaries to increase performance when processing small files.
  • Support for bzip2 compression.