In IndexA there are 3 docs
DocID, Terms
0,X
1,X Y
2,X Z
In IndexB there are 3 docs
DocID, Terms
0,X
1,X Y
2,X Z
When i do sort on indexed order using Multisearcher and
ParallelMultiSearcher, it returns the result
0,X
3,X
1,X Y
4,X Y
2,X Z
5,X Z
But it should be in the order of 0,1,2,3,4,5. Could anyone explain why?
Regards
Ganesh
----- Original Message -----
From: "Ganesh" <[EMAIL PROTECTED]>
To: <java-user@lucene.apache.org>
Sent: Thursday, October 23, 2008 1:37 PM
Subject: Re: Multisearcher will maintain index order sorting?
Multisearcher and ParallelMultiSearcher, when requested to sort on doc
(indexed order), it merges the result by docID of each DB.
Regards
Ganesh
----- Original Message -----
From: "Paul Smith" <[EMAIL PROTECTED]>
To: <java-user@lucene.apache.org>
Sent: Thursday, October 23, 2008 10:57 AM
Subject: Re: Multisearcher will maintain index order sorting?
On 23/10/2008, at 4:20 PM, Ganesh wrote:
My Index DB is having 10 million records and it will grow to 30
million. Currently I am using millisecond timestamp and the RAM
cosumption is more. I will change the resolution to minute. I am using
2 searcher objects refreshing each other every minute. When i do a
warmup query with sort of timestamp then the cpu is spiked to 100% and
this is happening for every minute. In order to avoid these issues, i
am planning to break my DB and to do sort on indexed order.
Will multisearcher will maintain indexed order on sorting?
If you need to keep the millisecond accuracy, break down the timestamp
into 3 fields: day, time, millisecond, and sort on 3 fields. This way
each field has a much smaller number of distinct values and well occupy
vastly less memory over time. I don't think there's much overhead in
this approach either, because in most cases, the top-level field (day)
will provide most of the sorting ability, and Lucene will only need to
hit the time & millisecond fields less frequently for comparison.
I believe Multisearcher does a merge sort of the 2 (or more) sub-
searchers, so there is an overhead in using in versus a single searcher.
Paul
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