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https://issues.apache.org/jira/browse/LUCENE-10048?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17398918#comment-17398918
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Tony Xu commented on LUCENE-10048:
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Okay I went thru the conversation in that PR about potential breaking points.
I now believe the take away is even with custom term freq, you still have to
play under the constraints and treat the values as frequency. I hope there is a
mechanism for encoding the map of (term, score) that is as fast as posting
access. On that note, maybe the right direction is to optimize payload?
Thanks for the helpful discussions.
> Bypass total frequency check if field uses custom term frequency
> ----------------------------------------------------------------
>
> Key: LUCENE-10048
> URL: https://issues.apache.org/jira/browse/LUCENE-10048
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Tony Xu
> Priority: Minor
>
> For all fields whose index option is not *IndexOptions.NONE*. There is a
> check on per field total token count (i.e. field-length) to ensure we don't
> index too many tokens. This is done by accumulating the token's
> *TermFrequencyAttribute.*
>
> Given that currently Lucene allows custom term frequency attached to each
> token and the usage of the frequency can be pretty wild. It is possible to
> have the following case where the check fails with only a few tokens that
> have large frequencies. Currently Lucene will skip indexing the whole
> document.
> *"foo|<very large number> bar|<very large number>"*
>
> What should be way to inform the indexing chain not to check the field length?
> A related observation, when custom term frequency is in use, user is not
> likely to use the similarity for this field. Maybe we can offer a way to
> specify that, too?
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