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https://issues.apache.org/jira/browse/AVRO-806?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13449730#comment-13449730
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Doug Cutting commented on AVRO-806:
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Also, Jakob, I may have overstated things a bit above. With a Trevni file one
can have a higher degree of parallelism than one processor per file. A Trevni
file can be efficiently split into row ranges. So a file with 1M rows could be
processed as 10 tasks, each processing 100k rows. Values are chunked into ~64k
compressed blocks and only those overlapping with the specified range would
need to be decompressed and processed by a task.
> add a column-major codec for data files
> ---------------------------------------
>
> Key: AVRO-806
> URL: https://issues.apache.org/jira/browse/AVRO-806
> Project: Avro
> Issue Type: New Feature
> Components: java, spec
> Reporter: Doug Cutting
> Assignee: Doug Cutting
> Attachments: AVRO-806.patch, AVRO-806.patch, AVRO-806-v2.patch,
> avro-file-columnar.pdf
>
>
> Define a codec that, when a data file's schema is a record schema, writes
> blocks within the file in column-major order. This would permit better
> compression and also permit efficient skipping of fields that are not of
> interest.
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