[
https://issues.apache.org/jira/browse/LUCENE-3233?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13062386#comment-13062386
]
Yonik Seeley commented on LUCENE-3233:
--------------------------------------
bq. Now, from the testing above, it looks like we are faster when syns actually
match; if no syns match the two are around the same speed.
Oh cool! I was looking at "1692" for the SynonymsFilter and a drop from
"~3000ms -> ~2000ms" for the FST version. I assumed Robert's last benchmark
was building and not lookup (the 112527/22872).
bq. Separately: shouldn't we not have any syns in the default text_en field
type?
I dunno... it's nice for both demonstration and testing (and it's in the
current tutorial).
> HuperDuperSynonymsFilter™
> -------------------------
>
> Key: LUCENE-3233
> URL: https://issues.apache.org/jira/browse/LUCENE-3233
> Project: Lucene - Java
> Issue Type: Improvement
> Reporter: Robert Muir
> Attachments: LUCENE-3223.patch, LUCENE-3233.patch, LUCENE-3233.patch,
> LUCENE-3233.patch, LUCENE-3233.patch, LUCENE-3233.patch, LUCENE-3233.patch,
> LUCENE-3233.patch, LUCENE-3233.patch, LUCENE-3233.patch, LUCENE-3233.patch,
> LUCENE-3233.patch, LUCENE-3233.patch, LUCENE-3233.patch, synonyms.zip
>
>
> The current synonymsfilter uses a lot of ram and cpu, especially at build
> time.
> I think yesterday I heard about "huge synonyms files" three times.
> So, I think we should use an FST-based structure, sharing the inputs and
> outputs.
> And we should be more efficient with the tokenStream api, e.g. using
> save/restoreState instead of cloneAttributes()
--
This message is automatically generated by JIRA.
For more information on JIRA, see: http://www.atlassian.com/software/jira
---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscr...@lucene.apache.org
For additional commands, e-mail: dev-h...@lucene.apache.org
