Hi Mike,
Do you also have a reader open against this index? If yes, then this is
totally normal on Windows. A reader holds open the segments cfs files
that it is using, so when the writer tries to delete them (because they
were merged) the delete fails and Lucene will try again later.
Aha,
Antony Bowesman wrote:
Hi,
I have the IndexWriter.infoStream set to System.out and get the following
merging segments _4m (2 docs) _4n (1 docs) into _4o (3 docs)
java.io.IOException: Cannot delete PathToDB\_29.cfs; Will re-try later.
java.io.IOException: Cannot delete PathToDB\_29.cfs; Will re-
Hi,
I have the IndexWriter.infoStream set to System.out and get the following
merging segments _4m (2 docs) _4n (1 docs) into _4o (3 docs)
java.io.IOException: Cannot delete PathToDB\_29.cfs; Will re-try later.
java.io.IOException: Cannot delete PathToDB\_29.cfs; Will re-try later.
Is this norm
spinergywmy wrote:
Hi,
I having this indexing the pdf file performance issue. It took me more
than 10 sec to index a pdf file about 200kb. Is it because I only have a
segment file? How can I make the indexing performance better?
If you're using the log4j PDFBox jar file, you must make sure
:Find all documents in the index with the word "Table", and then from that
: list, remove any docs that don't have "Chair"?
correct.
: If the latter is true, then how are these two queries different:
: "Table OR NOT Chair"
: "Table AND NOT Chair"
They aren't. Those queries are fu
Hi Chris,
Thanks for your response. If it's alright with you, I'd like to spell it
out, just so you can confirm that I'm understanding what you're saying:
Here's the Query: "Table OR NOT Chair"
I thought the results I should expect are:
All documents in the index that have the word "Table"
: As far as I know, WhiteSpaceAnalyzer does support the field:text format. Try
More specificaly, the bit of syntax field:value ...or more generally
field:"some longer value" is parsed by QueryParser regardless of what
Analyzer you use. QP is what extracts the field name and the colon, and
then
: So you can make a specific field's relevancy for a given term higher
: compared to another term using something like
:
: Id_field:someterm^2 || blob_field:someterm
:
: Im kind of a newb myself but I think this should work for you.
Indeed that is the way i would recommend solving this problem (wh
First, I'd ask why you need to search on punctuation. This often leads you
into an overly-complex place. My first suggestion is that you re-think
whether that's desirable. If it's not, just use different analyzer at index
and search time.
If it is desirable, then you probably need to make your ow
Hi all,
I have a specific string query like "Jakarta:" How do i get that? I am
using standardAnalyzer and it seems as if it is stripping ":" and it is
simply searching for "Jakarta".
I have used WhiteSpaceAnalyzer also and its working fine for ":" but I
think it has some other limitations. The
hi Erik,
> "action and" is likely not a single Term, so you'll want to create a
> SpanNearQuery of those individual terms (that match the way they were
> when analyzed and indexed, mind you) and use a SpanNearQuery inside a
> SpanFirstQuery. Make sense?
Yes, it works (see below)!
... but with my
You can set the boost on specific terms within your query, I believe the
syntax is:
Id_field:someterm^2
So you can make a specific field's relevancy for a given term higher
compared to another term using something like
Id_field:someterm^2 || blob_field:someterm
Im kind of a newb myself but I
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