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S3 And HDFS Data Migration

Published 2017-06-06 by Kevin Feasel

Ilya Yalovyy looks at S3DistCp, which allows you efficiently to migrate data back and forth between HDFS and S3:

Raw files often land in S3 or HDFS in an uncompressed text format. This format is suboptimal both for the cost of storage and for running analytics on that data. S3DistCp can help you efficiently store data and compress files on the fly with the --outputCodec option:

$ s3-dist-cp --src s3://my-tables/incoming/hourly_table_filtered --dest s3://my-tables/incoming/hourly_table_gz --outputCodec=gz

The current version of S3DistCp supports the codecs gzip, gz, lzo, lzop, and snappy, and the keywords none and keep (the default). These keywords have the following meaning:

  • “none” – Save files uncompressed. If the files are compressed, then S3DistCp decompresses them.

  • “keep” – Don’t change the compression of the files but copy them as-is.

This is an important article if you’ve got a Hadoop cluster running on EC2 nodes.

Published in Cloud and Hadoop