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https://issues.apache.org/jira/browse/LUCENE-7854?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16027635#comment-16027635
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Uwe Schindler commented on LUCENE-7854:
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Hi,
the packed token impl is not implementing clear(), copyTo, equals, hashcode...
and so on. Just grep for positionIncrement in the file to find other occurences
that also need to be changed.
> Indexing custom term frequencies
> --------------------------------
>
> Key: LUCENE-7854
> URL: https://issues.apache.org/jira/browse/LUCENE-7854
> Project: Lucene - Core
> Issue Type: Improvement
> Reporter: Michael McCandless
> Assignee: Michael McCandless
> Fix For: master (7.0)
>
> Attachments: LUCENE-7854.patch, LUCENE-7854.patch, LUCENE-7854.patch
>
>
> When you index a field with {{IndexOptions.DOCS_AND_FREQS}}, Lucene will
> store just the docID and term frequency (how many times that term occurred in
> that document) for all documents that have a given term.
> We compute that term frequency by counting how many times a given token
> appeared in the field during analysis.
> But it can be useful, in expert use cases, to customize what Lucene stores as
> the term frequency, e.g. to hold custom scoring signals that are a function
> of term and document (this is my use case). Users have also asked for this
> before, e.g. see
> https://stackoverflow.com/questions/26605090/lucene-overwrite-term-frequency-at-index-time.
> One way to do this today is to stuff your custom data into a {{byte[]}}
> payload. But that's quite inefficient, forcing you to index positions, and
> pay the overhead of retrieving payloads at search time.
> Another approach is "token stuffing": just enumerate the same token N times
> where N is the custom number you want to store, but that's also inefficient
> when N gets high.
> I think we can make this simple to do in Lucene. I have a working version,
> using my own custom indexing chain, but the required changes are quite simple
> so I think we can add it to Lucene's default indexing chain?
> I created a new token attribute, {{TermDocFrequencyAttribute}}, and tweaked
> the indexing chain to use that attribute's value as the term frequency if
> it's present, and if the index options are {{DOCS_AND_FREQS}} for that field.
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