[jira] [Commented] (LUCENE-6913) Standard/Classic/UAX tokenizers could be more ram efficient

["Steve Rowe (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/LUCENE-6913?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15046185#comment-15046185 ] 

Steve Rowe commented on LUCENE-6913:
------------------------------------

bq. I think ideally we want to fix jflex to use byte[] when there are <= 256 character classes?

+1

> Standard/Classic/UAX tokenizers could be more ram efficient
> -----------------------------------------------------------
>
>                 Key: LUCENE-6913
>                 URL: https://issues.apache.org/jira/browse/LUCENE-6913
>             Project: Lucene - Core
>          Issue Type: Improvement
>            Reporter: Robert Muir
>         Attachments: LUCENE-6913.not.a.patch
>
>
> These tokenizers map codepoints to character classes with the following datastructure (loaded in clinit):
> {noformat}
>   private static char [] zzUnpackCMap(String packed) {
>     char [] map = new char[0x110000];
> {noformat}
> This requires 2MB RAM for each tokenizer class (in trunk 6MB if all 3 classes are loaded, in branch_5x 10MB since there are 2 additional backwards compat classes).
> On the other hand, none of our tokenizers actually use a huge number of character classes, so {{char}} is overkill: e.g. this map can safely be a byte [] and we can save half the memory. Perhaps it could make these tokenizers faster too.



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