Hello Koji. I understand only English. Unfortunately the link you shared
contains slides which I dont know is present in which Language !!
If possible please share the slides in English language. Many thanks for
the help.
On 8/2/2013 9:04 PM, Koji Sekiguchi wrote:
(13/08/02 17:16), Ankit Murar
Hi,
I have been using the regular Query class to search single keywords. I needed
to include hits such as "BANKER" if the user searched for "BANK". To achieve
this I used "*" on both sides as *BANK*.
Now I need to search for phrases and I am building a PhraseQuery. My question
is, is there a w
Thanks, this is what I expected. I opened an issue to remove seek by Ord
from this vectors format.
On Aug 2, 2013 2:13 PM, "Tom Burton-West" wrote:
> Thanks Robert,
>
> Looks like it switches between seekCeil and seekExact:
>
> "main" prio=10 tid=0x0e79a000 nid=0x5fe5 runnable
> [0x2b
Thanks Robert,
Looks like it switches between seekCeil and seekExact:
"main" prio=10 tid=0x0e79a000 nid=0x5fe5 runnable
[0x2b32de0cc000]
jstack.out3- java.lang.Thread.State: RUNNABLE
jstack.out3-at
org.apache.lucene.codecs.compressing.CompressingTermVectorsReader$TVTermsEnum.see
Hi,
If you specify the FilteredQuery via the 'fromQuery' parameter, then they
should be executed before the the join operation is performed.
What makes you think that the FilteredQuery is applied post join?
Martijn
On 1 August 2013 22:33, Shane Strasser wrote:
> Hey All,
>
> We're currently l
(13/08/02 17:16), Ankit Murarka wrote:
Hello All,
Just like spellcheck feature which after lot of trouble was Implemented, is it
possible to implement
Complete Phrase Suggest Feature in Lucene 4.3 . So if I enter an incorrect
phrase it can suggest me
few possible valid phrases.
One way could
I should have mentioned the commands I used to test:
1/ Index:
java TestReal36 index -fileFolder /home/cvsupport/lzhang/files -optimize false
java TestReal43 index -fileFolder /home/cvsupport/lzhang/files -optimize false
The fileFolder contains 8 *.txt files with UTF-8 encoding. I also tried with
On 08/02/2013 10:16 AM, Ankit Murarka wrote:
> is it possible to implement Complete Phrase Suggest Feature in Lucene
> 4.3 . So if I enter an incorrect phrase it can suggest me few possible
> valid phrases.
>
> One way could be to get suggestion for each word in the sentence and
> calling SpellChec
Unfortunately you cannot upgrade directly from 2.3.1 to 4.1.
You can consider upgrading to 3.6.2 and stop there. Lucene 4.1 can read 3.x
indexes, and when segments will are merged, they are upgraded automatically
to the newest file format.
However, if this single segment is too big, such that it w
Thank you Shai for the quick response. Have responded inline.
On Fri, Aug 2, 2013 at 5:37 PM, Shai Erera wrote:
> Hi
>
> You cannot just update headers -- the file formats have changed. Therefore
> you need to rewrite the index entirely, at least from 2.3.1 to 3.6.2 (for
> 4.1 to be able to rea
Hi
You cannot just update headers -- the file formats have changed. Therefore
you need to rewrite the index entirely, at least from 2.3.1 to 3.6.2 (for
4.1 to be able to read it).
If your index is already optimized, then IndexUpgrader is your best option.
The reason it calls forceMerge(1) is that
Team,
We are migrating from lucene version 2.3.1 to 4.1. We are migrating
the indices as well, and we do this in two steps 2.3.1 to 3.6.2 and 3.6.2
to 4. We just call IndexUpgrader.upgrade(), using the
IndexUpgraderMergePolicy. I see that, the upgrade() method actually calls a
forcemerge(1
Hi
Basically, every IndexSearch.search() variant has a matching Collector.
They are there for easier usage by users.
TopFieldCollector.create() takes searchAfter (TopFieldDoc), so you can use
it in conjunction with FacetsCollector as I've outlined before.
In general you're right that for paginati
Hello All,
Just like spellcheck feature which after lot of trouble was Implemented,
is it possible to implement Complete Phrase Suggest Feature in Lucene
4.3 . So if I enter an incorrect phrase it can suggest me few possible
valid phrases.
One way could be to get suggestion for each word in
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