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https://issues.apache.org/jira/browse/HADOOP-7076?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Niels Basjes updated HADOOP-7076:
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Attachment: HADOOP-7076.patch
This patch now passes all unit tests.
Changes present in this file:
- Added additional method getBytesRead() to the
org.apache.hadoop.io.compress.Decompressor interface to be able to query the
position of the underlying file.
- Added the option to decrease the blocksize used by the DecompressorStream to
read the disk file and feed the decompressor (Needed to get the required
accuracy).
- Added SplittableGzipCodec that allows splitting Gzipped input files.
- Added TestSplittableCodecSeams that tests if all the splits are seamless: No
duplicate records and no missing records.
- Fixes several bugs in TestCodec.java
- Reset of decompressor
- Writing an number in a binary form into a file that is later read and
parsed as a text file (now all textual)
- Naming : no more "Splitable" in the touched unit test files.
> Splittable Gzip
> ---------------
>
> Key: HADOOP-7076
> URL: https://issues.apache.org/jira/browse/HADOOP-7076
> Project: Hadoop Common
> Issue Type: New Feature
> Components: io
> Reporter: Niels Basjes
> Attachments: HADOOP-7076.patch
>
>
> Files compressed with the gzip codec are not splittable due to the nature of
> the codec.
> This limits the options you have scaling out when reading large gzipped input
> files.
> Given the fact that gunzipping a 1GiB file usually takes only 2 minutes I
> figured that for some use cases wasting some resources may result in a
> shorter job time under certain conditions.
> So reading the entire input file from the start for each split (wasting
> resources!!) may lead to additional scalability.
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