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From "Robert Muir (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (LUCENE-4563) Fix DirTaxoWriter's Codec - don't rely on the default
Date Mon, 19 Nov 2012 13:52:58 GMT

    [ https://issues.apache.org/jira/browse/LUCENE-4563?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13500233#comment-13500233
] 

Robert Muir commented on LUCENE-4563:
-------------------------------------

I think you should just stick with the default. 

Of course tests run slowly with SimpleText!
                
> Fix DirTaxoWriter's Codec - don't rely on the default
> -----------------------------------------------------
>
>                 Key: LUCENE-4563
>                 URL: https://issues.apache.org/jira/browse/LUCENE-4563
>             Project: Lucene - Core
>          Issue Type: Improvement
>          Components: modules/facet
>            Reporter: Shai Erera
>            Assignee: Shai Erera
>            Priority: Minor
>
> Today, DirTaxoWriter opens an IndexWriter using the default Codec. While running tests,
I noticed that some of them take a veeeeery long time to complete, some times. Debugging,
I realized that they use SimpleText codec b/c that's what the test-framework drew at random.
> That got me to think if we should really depend on the default Codec, or use a special
codec that is more suitable for the taxonomy index's unique characteristics. Basically, the
taxonomy index has two fields:
> # One in which the category path is saved, as StringField, and therefore each term is
associated with exactly one document
> # Another field with one term, such that a category's parent is written in the position
of that term for every document.
> Initially, I thought that we should really be using PulsingCodec. After a brief chat
about it w/ Robert, he said that Lucene41 Codec acts like pulsing for fields like that. So
I'm thinking that we should either:
> * Hard-code to Lucene41, if it's indeed useful.
> * Write a completely new Codec, that is special for that case. I.e. Lucene41 may handle
these cases efficiently, but its code needs to be prepared for other cases too, therefore
we may be able to write something more efficient.
> I open that as a placeholder, I think that we should first come up w/ a decent benchmark
test in order to validate the results. The benchmark package now contains some facet related
stuff, so I'll take a look if that's enough.

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