UNOFFICIAL
Hi Mike,
I ran it again and this time the two methods came out about the same: 168 - 288
ms to process 173,000 documents for the walking method and 160 - 205 ms for the
MultiDocValues method . I don't know what was happening with my last test.
Here is my code:
if (docs.totalHits > 0)
{
int currentContextIndex = 0;
List<AtomicReaderContext> leaves = searcher.getIndexReader().leaves();
AtomicReaderContext currentContext = leaves.get(currentContextIndex);
NumericDocValues values = getNumericDocValues(currentContext,
"responseTime");
for (ScoreDoc scoreDoc : docs.scoreDocs)
{
while (scoreDoc.doc >= (currentContext.docBase +
currentContext.reader().maxDoc()))
{
currentContext = leaves.get(++currentContextIndex);
values = getNumericDocValues(currentContext,
"responseTime");
}
int value = (int)values.get(scoreDoc.doc -
currentContext.docBase);
// do stuff
}
}
private NumericDocValues getNumericDocValues(final AtomicReaderContext context,
final String field) throws ProfileException {
try
{
return context.reader().getNumericDocValues(field);
}
catch (IOException e)
{
throw new ProfileException("Unable to extract results from
index for query 'read response times'.", e);
}
}
Thanks for the tip on using a custom Collector. This is in Lucene in Action
(great book by the way).
Regards,
Steve
-----Original Message-----
From: Michael McCandless [mailto:luc...@mikemccandless.com]
Sent: Monday, 4 November 2013 10:30 AM
To: Lucene Users
Subject: Re: splitting docIds from a search by segment [SEC=UNOFFICIAL]
It's very strange that you see faster performance using
MultiDocValues: that simply should not be the case. Can you share your
per-segment code?
Also, it's rather inefficient to collect all hits by passing maxDoc as n to
IndexSearcher.search; if you really just want the docIDs and you don't care
about order it's better to make a custom Collector that simply appends the
docID to an array/list. I believe Lucene in Action includes an example for
this... (disclosure: I'm one of the authors).
Mike McCandless
http://blog.mikemccandless.com
On Sun, Nov 3, 2013 at 5:37 PM, Stephen GRAY <stephen.g...@immi.gov.au> wrote:
> UNOFFICIAL
>
> That's what I did. You just pass searcher.search a very large value for max
> docs so you get them all, then iterate through the ScoreDoc[] array - the
> docId is in scoreDoc.doc.
>
> Regards,
> Steve
>
> -----Original Message-----
> From: Kyle Judson [mailto:kvjud...@hotmail.com]
> Sent: Sunday, 3 November 2013 12:37 AM
> To: java-user@lucene.apache.org
> Subject: Re: splitting docIds from a search by segment
> [SEC=UNOFFICIAL]
>
> All,
>
> Is the best way to get the docIDs in a case like this to use
> IndexSercher.search to get TopDocs and then get the ScoreDoc[] from
> TopDocs.scoreDocs?
>
> Thanks
>
> Kyle
>
>
> On 10/30/13 4:56 AM, "Michael McCandless" <luc...@mikemccandless.com>
> wrote:
>
>>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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