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https://issues.apache.org/jira/browse/HIVE-6234?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Eric Hanson updated HIVE-6234:
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Attachment: HIVE-6234.02.patch
> Implement fast vectorized InputFormat extension for text files
> --------------------------------------------------------------
>
> Key: HIVE-6234
> URL: https://issues.apache.org/jira/browse/HIVE-6234
> Project: Hive
> Issue Type: Sub-task
> Reporter: Eric Hanson
> Assignee: Eric Hanson
> Attachments: HIVE-6234.02.patch, Vectorized Text InputFormat
> design.docx, Vectorized Text InputFormat design.pdf
>
>
> Implement support for vectorized scan input of text files (plain text with
> configurable record and field separators). This should work for CSV files,
> tab delimited files, etc.
> The goal is to provide high-performance reading of these files using
> vectorized scans, and also to do it as an extension of existing Hive. Then,
> if vectorized query is enabled, existing tables based on text files will be
> able to benefit immediately without the need to use a different input format.
> After upgrading to new Hive bits that support this, faster, vectorized
> processing over existing text tables should just work, when vectorization is
> enabled.
> Another goal is to go beyond a simple layering of vectorized row batch
> iterator over the top of the existing row iterator. It should be possible to,
> say, read a chunk of data into a byte buffer (several thousand or even
> million rows), and then read data from it into vectorized row batches
> directly. Object creations should be minimized to save allocation time and GC
> overhead. If it is possible to save CPU for values like dates and numbers by
> caching the translation from string to the final data type, that should
> ideally be implemented.
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