Rajesh,
You are asking a fairly complicated question on a seldom used piece of
functionality. Constantly pinging the list is just making it less
likely that someone will respond with an answer. The likelihood that
the 1 person who understand that code (and trust me, it really is
likely very few people who know how to practically employ it) enough
to give practical advice have read it in the time period you have
alloted us to respond is next to nil. We are all volunteers with day
jobs.
Have you bothered to search the dev and user mailing list for
information on the class in question? I would look for threads from
Doug or Chuck Williams.
-Grant
On Apr 30, 2008, at 5:00 PM, Rajesh parab wrote:
Hi Guys,
Any comments on this?
I was looking into Lucene archive and came across this
thread what asks the same question.
http://www.gossamer-threads.com/lists/lucene/java-user/50477?search_string=parallelreader;#50477
Any pointers will be helpful.
Regards,
Rajesh
--- Rajesh parab <[EMAIL PROTECTED]> wrote:
Hi All,
Any suggestions/comments on my questions in this
thread will be really helpful.
We are planning to use Lucene indexes throughout the
application and exploring possibilites of
partitioning
data between multiple indexes.
Regards,
Rajesh
--- Rajesh parab <[EMAIL PROTECTED]> wrote:
Hi,
This is from javadoc of ParallelReader:
======================================================
An IndexReader which reads multiple, parallel
indexes.
Each index added must have the same number of
documents, but typically each contains different
fields. Each document contains the union of the
fields
of all documents with the same document number.
When
searching, matches for a query term are from the
first
index added that has the field.
This is useful, e.g., with collections that have
large
fields which change rarely and small fields that
change more frequently. The smaller fields may be
re-indexed in a new index and both indexes may be
searched together.
======================================================
I have a similar use case as mentioned above and
hence
would like to use ParallelReader to search across
multiple indexes.
I have an object that has 50 fields. Out of these
50
fields, 45 are relatively static and other 5 are
modified very often. So, I am planning to
partition
this objects data into 2 indexes such that 45
static
fields will be part of one index and remaining 5
dynamic fields will constitute second index. While
generating the index for the first time, I can
make
sure that the document order for documents inside
both
these indexes is same and hence ParallelReader
will
work properly with it.
The question is -
What if the data inside second (smaller) index
changes? In order to update index document, I will
have to delete it and re-insert it again as Lucene
does not support document update. This action (of
delete and re-insert) will change internal
document
id
for updated document inside second index and in
order
to sync it with first index, I will have to also
modify first (relatively big and static) index. If
we
will have to update both the indexes, how it is
different from having a single index with all the
fields? What is the use case in which
ParallelReader
will get used? As per documentation, I was
thinking
that it will apply for my use case, but
synchronizing
the indexes seems to be a problem.
Please help.
Regards,
Rajesh
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