You should try MultiDocValues first; it's trivial to use and may not
be horribly slow.

It must do a binary-search for every docID lookup.

And then if this is too slow, assuming you traverse the docIDs in
order, you can use IndexReader.leaves() to get the sub-readers.  The
docIDs are just "appended" from these sub-readers, so you'd walk your
docIDs and also walk you sub-readers, moving to the next sub-reader
once you have a docID that's beyond its end.  Each sub-reader spans
AtomicReaderContext.docBase to docBase +
AtomicReaderContext.reader.maxDoc().

Mike McCandless

http://blog.mikemccandless.com

On Wed, Oct 30, 2013 at 2:21 AM, Stephen GRAY <stephen.g...@immi.gov.au> wrote:
> UNOFFICIAL
> Hi everyone,
>
> I am trying to write an application that loops through 500,000 - 1,000,000 
> documents returned by a search and calculates some statistics using the value 
> in a stored field. Obviously this needs to be as fast as possible so I am 
> using a NumericDocValues field to store the value.
>
> What I don't know is how to get the NumericDocValues value for each docId 
> returned by the search. What I've been told to do in a previous thread was:
>
> 1.       Split the docIds according to the segment they belong to
>
> 2.       Get a per-segment NumericDocValues instance and use this to extract 
> the values
>
> Can someone tell me how to do 1 and 2? I don't know how to discover what 
> segment a given docId is in, or how to convert a segment into a 
> NumericDocValues array.
>
> By the way it's also been suggested that I just use 
> MultiDocValue.getNumericValues, but I gather that this will be much slower.
>
> I'd appreciate any help,
>
> Thanks,
> Steve
>
> UNOFFICIAL
>
>
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