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Posted to issues@lucene.apache.org by "Viral Gandhi (Jira)" <ji...@apache.org> on 2020/05/21 17:00:00 UTC

[jira] [Commented] (LUCENE-9211) Adding compression to BinaryDocValues storage

    [ https://issues.apache.org/jira/browse/LUCENE-9211?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17113384#comment-17113384 ] 

Viral Gandhi commented on LUCENE-9211:
--------------------------------------

This improvement had a negative impact on our internal benchmarking when we tried to upgrade to Lucene 8.5.1. I have created an issue regarding that - https://issues.apache.org/jira/browse/LUCENE-9378.

> Adding compression to BinaryDocValues storage
> ---------------------------------------------
>
>                 Key: LUCENE-9211
>                 URL: https://issues.apache.org/jira/browse/LUCENE-9211
>             Project: Lucene - Core
>          Issue Type: Improvement
>          Components: core/codecs
>            Reporter: Mark Harwood
>            Assignee: Mark Harwood
>            Priority: Minor
>              Labels: pull-request-available
>             Fix For: 8.5
>
>          Time Spent: 0.5h
>  Remaining Estimate: 0h
>
> While SortedSetDocValues can be used today to store identical values in a compact form this is not effective for data with many unique values.
> The proposal is that BinaryDocValues should be stored in LZ4 compressed blocks which can dramatically reduce disk storage costs in many cases. The proposal is blocks of a number of documents are stored as a single compressed blob along with metadata that records offsets where the original document values can be found in the uncompressed content.
> There's a trade-off here between efficient compression (more docs-per-block = better compression) and fast retrieval times (fewer docs-per-block = faster read access for single values). A fixed block size of 32 docs seems like it would be a reasonable compromise for most scenarios.
> A PR is up for review here [https://github.com/apache/lucene-solr/pull/1234]



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