https://github.com/nielsbasjes/splittablegzip

Splittable Gzip codec for Hadoop
https://github.com/nielsbasjes/splittablegzip

codec gzip gzip-codec gzipped-files hadoop mapreduce-java pig spark splittable

Last synced: 7 days ago
JSON representation

Splittable Gzip codec for Hadoop

• Host: GitHub
• URL: https://github.com/nielsbasjes/splittablegzip
• Owner: nielsbasjes
• License: apache-2.0
• Created: 2012-03-28T21:59:15.000Z (almost 13 years ago)
• Default Branch: main
• Last Pushed: 2024-12-19T07:23:22.000Z (about 1 month ago)
• Last Synced: 2025-01-08T09:09:55.738Z (14 days ago)
• Topics: codec, gzip, gzip-codec, gzipped-files, hadoop, mapreduce-java, pig, spark, splittable
• Language: Java
• Homepage:
• Size: 1.37 MB
• Stars: 69
• Watchers: 8
• Forks: 8
• Open Issues: 2
• Metadata Files:
  • Readme: README-JavaMapReduce.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

Awesome Lists containing this project

README

        
# Using the SplittableGZipCodec in Apache Hadoop MapReduce (Java)

To use this in a Hadoop MapReduce job written in Java you must make sure this library has been added as a dependency.

In Maven you would simply add this dependency

    

      nl.basjes.hadoop

      splittablegzip

      1.3

    

Then in Java you would create an instance of the Job that you are going to run

    Job job = ...

and then before actually running the job you set the configuration using something like this:

    job.getConfiguration().set("io.compression.codecs", "nl.basjes.hadoop.io.compress.SplittableGzipCodec");

    job.getConfiguration().setLong("mapreduce.input.fileinputformat.split.minsize", 5000000000);

    job.getConfiguration().setLong("mapreduce.input.fileinputformat.split.maxsize", 5000000000);

NOTE: The ORIGINAL GzipCodec may NOT be in the list of compression codecs anymore !