Actually, I tried using the term filter but it doesn't work when the field
on which it is applied is not present in all the documents. It works fine
if the field is present in all the documents.
Thanks,
On Thu, May 22, 2014 at 10:33 PM, Ivan Brusic i...@brusic.com wrote:
Why not use a term
from the database.
Jörg
On Tue, May 20, 2014 at 7:00 PM, Mukul Gupta mukulnit...@gmail.comwrote:
Yeah..I switched to JDBC 1.1.0.2 and it is now updating indexed docs but
still few issues are there.
1. Though JDBC can now index docs but not all Mysql docs are getting
index. I tried
Can we use jdbc river plugin for older versions of ES 0.90.3 ?
On Sat, May 17, 2014 at 2:50 AM, joergpra...@gmail.com
joergpra...@gmail.com wrote:
Rivers did not change since ES 1.0.0 so I'm quite confident that
https://github.com/richardwilly98/elasticsearch-river-mongodb 2.0.0 will
run
, 2014 at 8:36 AM, Mukul Gupta mukulnit...@gmail.comwrote:
Can we use jdbc river plugin for older versions of ES 0.90.3 ?
On Sat, May 17, 2014 at 2:50 AM, joergpra...@gmail.com
joergpra...@gmail.com wrote:
Rivers did not change since ES 1.0.0 so I'm quite confident that
https://github.com
Hi Adrien,
Great to hear from you !!!
Actually you have written in your post that query_string splits on
whitespaces before applying analyzer. Are you sure it applies it before
analyzer because if it works that way, the I won't be getting the above
issue. Above results shows that analyzer works
Adrien,
Regarding the boosting issue:
I have a field text and I'm using a query-time boost like
field=[text^30]
Assume I have a doc like {text:new delhi to goa}. Now if I query for
delhi to goa then score for only term goa is boosted like goa^30 (as you
can see above in explain output) but what I
Brusic i...@brusic.com wrote:
Try using the plugin I suggested and/or the explain API.
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-explain.html
On Mon, Feb 3, 2014 at 11:26 AM, Mukul Gupta mukulnit...@gmail.comwrote:
Hi Ivan,
Thanks for the reply. Can you
Accept my apology. I forgot to post my mapping:
{acqindex:{acqidx:{properties:{text:{type:string,index_analyzer:str_index_analyzer,search_analyzer:str_search_analyzer}
I'll try my query with fields option and will get back to you. Just
one question, why it is able to search for hotels then.
Using fields in query_string worked but still other problems which I
meantioned earlier remains unsolved.
On Fri, Jan 31, 2014 at 9:21 PM, Mukul Gupta mukulnit...@gmail.com wrote:
Accept my apology. I forgot to post my mapping:
{acqindex:{acqidx:{properties:{text:{type:string
Binh,
Thanks for the help. I fixed my scoring issue but loat my indexed time
boosting. I tried using boosting at indexing using some other fields but
results are not very satisfactory. I was using custom score so that I can
get documents matching a search phrase with higher value of po field on
Ivan, I tried using different field for script and boost. script seems to
be working fine but boost is not working since I'm not able to see any
factor from _boost in explain api. Can you please tell me how can I make
use of boost ?
On Fri, Jan 31, 2014 at 5:53 AM, Ivan Brusic i...@brusic.com
reasons to switch from document time
boosts.
There is no reason to use both document boosts and custom scores. If you
are already using a score function, just apply the boost at that level.
Either way, you will not see the boost value directly.
Ivan
On Fri, Jan 31, 2014 at 8:13 AM, Mukul Gupta
What is logger.info ? Can you please help me in writing the query dsl
itself. I tried writing it but failed :(
On Sat, Feb 1, 2014 at 1:15 AM, seallison sealli...@gmail.com wrote:
With the Java API I'm pretty sure you can get the query DSL from the
toString() on SearchRequestBuilder.
Binh,
how can I add explain:true in that one ?
On Sat, Feb 1, 2014 at 1:47 AM, Binh Ly b...@hibalo.com wrote:
Should be roughly like this:
{
query: {
custom_score: {
query: {
query_string: {
query: blah blah,
fields: [
text^30,
Binh,
I'm not able to access po field. It's giving me error:
Caused by: [Error: could not access: value; in class:
org.elasticsearch.index.fielddata.ScriptDocValues$Empty]
[Near : {... doc['po'].value }]
I think that is the reason why my score is always same. Everytime, it is
taking it as
Binh,
Can you take a look at this also.
Thanks
On Thu, Jan 30, 2014 at 1:47 PM, Mukul Gupta mukulnit...@gmail.com wrote:
Binh,
I'm not able to access po field. It's giving me error:
Caused by: [Error: could not access: value; in class:
org.elasticsearch.index.fielddata.ScriptDocValues
-driving-directions}}]}}
This is really weird !!!
On Thu, Jan 30, 2014 at 6:48 PM, Mukul Gupta mukulnit...@gmail.com wrote:
I don't have any document for which po field is empty. I have checked my
mongo collections. Also, earlier it was taking value 1 for all the
documents that was the reason
I'm using elasticsearch-0.90.3.
On Thu, Jan 30, 2014 at 7:14 PM, Binh Ly b...@hibalo.com wrote:
That's strange. May I ask which version of ES are you using? Thanks.
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at 10:47 PM, Mukul Gupta mukulnit...@gmail.comwrote:
Hi Ivan,
Actually my code is in java. I have seen those links but not able to
implement it in my code. I'm using customscorequerybuilder for building my
query. How can I use this sort in my code. Is there any java api for this ?
Also, Can I do
just an update: I'm using default similarity only. Ignore that
customsimilarity line.
On Wed, Jan 29, 2014 at 9:47 PM, Mukul Gupta mukulnit...@gmail.com wrote:
But why am I getting exactly same score for two documents even though
their po field hase different values. If I'm multiplying my
Binh,
I have a doubt in the above explanation. You mentioned that after
suggestions_shingle:
hotels in hosur becomes hotels, in, hosur, hotels in, hotels in
hosur, in hosur but shouldn't be hotels , in, hosur should be
removed since my min_shingle_size is 2 or is it like the original tokens
will
Binh,
I have one more doubt regarding matching of index time tokens with query
time tokens. Can you please tell me how elasticsearch does this type of
matching ? Is it like it only matches the token or it also matches other
information like start_offset, end_offset, type and position. ?
Thanks
Hi Ivan,
Actually my code is in java. I have seen those links but not able to
implement it in my code. I'm using customscorequerybuilder for building my
query. How can I use this sort in my code. Is there any java api for this ?
Also, Can I do this sort in my mapping itself ?
Thanks
On Wed,
But the problem still remains. The completion suggester will give you
results only if there is an exact match but as previously mentioned there
can be many types of queries which can be done by a user at travel website.
Thanks
On Fri, Jan 17, 2014 at 9:41 PM, joa joafeldm...@gmail.com wrote:
Is there any java api available for function_score ?
On Thu, Jan 16, 2014 at 5:16 PM, Luca Cavanna cavannal...@gmail.com wrote:
Using the function_score you could use a script. Since 0.90.10 you can
access term statistics from a script (
are using the java API, you can find the usual query
builder, called FunctionScoreQueryBuilder or even use the handy
QueryBuilders static methods to create one.
On Thu, Jan 16, 2014 at 1:43 PM, Mukul Gupta mukulnit...@gmail.comwrote:
Is there any java api available for function_score
PM, Mukul Gupta mukulnit...@gmail.comwrote:
I tried using FunctionScoreQueryBuilders but there is no such thing
available with me. Do I need to use any package for this ?
On Thu, Jan 16, 2014 at 6:26 PM, Luca Cavanna cavannal...@gmail.comwrote:
Not sure what you mean, the function score
Thanks a lot. It really solved my problem.
On Thu, Jan 16, 2014 at 11:22 PM, Ivan Brusic i...@brusic.com wrote:
I am assuming that you packaged the two Java files into a jar file and
deploy it to the $ES_PATH lib directory. Elasticsearch will pick up any jar
files in that directory.
I have read about that module but the thing is I have to set idf to 1.
Actually, I want common terms to give more weight in my search. Now, when I
googled about it, it says overriding the default similarity class is the
only way to achieve it. That's the reason why I'm looking for these plugins.
need
one class extending AbstractSimilarityProvider and another class with the
actual similarity, which probably extends DefaultSimilarity. No need for a
plugin, you just need the classes in the elasticsearch classpath at startup.
Cheers,
Ivan
On Wed, Jan 15, 2014 at 9:17 AM, Mukul Gupta
Hi Jörg,
Let's say I want to modify my _score in such a way that it doesn't take
into consideration idf while calculating score. How can I achieve this
using function score ? Can you give me some example usage of function score
which takes only tf into consideration.
Thanks
On Thu, Jan 16,
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