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https://issues.apache.org/jira/browse/LUCENE-868?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Grant Ingersoll updated LUCENE-868:
-----------------------------------
Attachment: LUCENE-868-v4.patch
Based on Yonik's and Karl's comments on avoiding loading the offset and
position arrays, this patch has two new methods on the TermVectorMapper which
tell the TermVectorsReader whether the Mapper is interested in positions or
not, regardless of whether they are stored or not.
> Making Term Vectors more accessible
> -----------------------------------
>
> Key: LUCENE-868
> URL: https://issues.apache.org/jira/browse/LUCENE-868
> Project: Lucene - Java
> Issue Type: New Feature
> Components: Store
> Reporter: Grant Ingersoll
> Assignee: Grant Ingersoll
> Priority: Minor
> Attachments: LUCENE-868-v2.patch, LUCENE-868-v3.patch,
> LUCENE-868-v4.patch
>
>
> One of the big issues with term vector usage is that the information is
> loaded into parallel arrays as it is loaded, which are then often times
> manipulated again to use in the application (for instance, they are sorted by
> frequency).
> Adding a callback mechanism that allows the vector loading to be handled by
> the application would make this a lot more efficient.
> I propose to add to IndexReader:
> abstract public void getTermFreqVector(int docNumber, String field,
> TermVectorMapper mapper) throws IOException;
> and a similar one for the all fields version
> Where TermVectorMapper is an interface with a single method:
> void map(String term, int frequency, int offset, int position);
> The TermVectorReader will be modified to just call the TermVectorMapper. The
> existing getTermFreqVectors will be reimplemented to use an implementation of
> TermVectorMapper that creates the parallel arrays. Additionally, some simple
> implementations that automatically sort vectors will also be created.
> This is my first draft of this API and is subject to change. I hope to have
> a patch soon.
> See
> http://www.gossamer-threads.com/lists/lucene/java-user/48003?search_string=get%20the%20total%20term%20frequency;#48003
> for related information.
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