12:40 PM, Darshan Pandya <
> darshanpan...@gmail.com
> >> >
> >> wrote:
> >>
> >> > Hello folks,
> >> >
> >> > I am fairly new to solr + banana, especially banana.
> >> >
> >> >
> >> > I am trying to configur
an Pandya <darshanpan...@gmail.com
>> >
>> wrote:
>>
>> > Hello folks,
>> >
>> > I am fairly new to solr + banana, especially banana.
>> >
>> >
>> > I am trying to configure banana for faceted search for a collection in
&g
Hello folks,
I am fairly new to solr + banana, especially banana.
I am trying to configure banana for faceted search for a collection in
solr.
I want to be able to have multiple facets parameters on the left and see
the results of selections on my data table on the right. Exactly like
guided
mail.com>
> wrote:
>
> > Hello folks,
> >
> > I am fairly new to solr + banana, especially banana.
> >
> >
> > I am trying to configure banana for faceted search for a collection in
> > solr.
> > I want to be able to have multiple facets par
in the Solr query. Let me know if that helps.
On Wed, Jul 20, 2016 at 12:40 PM, Darshan Pandya <darshanpan...@gmail.com>
wrote:
> Hello folks,
>
> I am fairly new to solr + banana, especially banana.
>
>
> I am trying to configure banana for faceted search for a collec
Hey Alessandro,
Can you help me? :)
Thank you!
--
View this message in context:
http://lucene.472066.n3.nabble.com/Use-faceted-search-to-drill-down-in-hierarchical-structure-and-omit-node-data-outside-current-selectn-tp4219384p4220080.html
Sent from the Solr - User mailing list archive
drilling
down in categories using your suggested solution?
Just want to make sure I'm on the right track here :)
Thanks!
--
View this message in context:
http://lucene.472066.n3.nabble.com/Use-faceted-search-to-drill-down-in-hierarchical-structure-and-omit-node-data-outside-current-selectn
the actual level in the hierarchy.
Can you advice?
Thanks again!
--
View this message in context:
http://lucene.472066.n3.nabble.com/Use-faceted-search-to-drill-down-in-hierarchical-structure-and-omit-node-data-outside-current-selectn-tp4219384p4219832.html
Sent from the Solr - User mailing
Hi Charlie,
Your solution seems to remove faceting capabilities...so that's not what I'm
looking for :) Thanks though!
--
View this message in context:
http://lucene.472066.n3.nabble.com/Use-faceted-search-to-drill-down-in-hierarchical-structure-and-omit-node-data-outside-current-selectn
shirt sleeveless shirt
AND also fall under:
Clothing
Clothing shirt
Clothing shirt sleeveless shirt
Thanks again!
From: Alessandro Benedetti [via Lucene]
Sent: Tuesday, July 28, 2015 10:26
To: PeterKerk
Subject: Re: Use faceted search to drill down in hierarchical structure
and omit node data
.
On that same Solr FieldCollapsing example page they refer to Best Buy as an
example. Now I wonder how that was implemented without support for
multivalued fields.
What can I do?
--
View this message in context:
http://lucene.472066.n3.nabble.com/Use-faceted-search-to-drill-down
: Use faceted search to drill down in hierarchical structure and
omit node data outside current selection
The fact is that you are trying to model a hierarchical facet on documents
that actually index the content as a simple field.
What I would suggest for example is to use
top shirt sleeveless shirt
AND also fall under:
Clothing
Clothing shirt
Clothing shirt sleeveless shirt
Thanks again!
From: Alessandro Benedetti [via Lucene]
Sent: Tuesday, July 28, 2015 10:26
To: PeterKerk
Subject: Re: Use faceted search to drill down in hierarchical structure
implemented.
On that same Solr FieldCollapsing example page they refer to Best Buy as an
example. Now I wonder how that was implemented without support for
multivalued fields.
What can I do?
--
View this message in context:
http://lucene.472066.n3.nabble.com/Use-faceted-search-to-drill
search and NLP. It involves data extraction
/ summarisation and custom faceted search on Solr.
Please contact me if you have expertise in this area and can work remotely
with a small team.
Thanks,
MG.
--
View this message in context:
http://lucene.472066.n3.nabble.com/Solr-Consultant
We are looking for a remote / freelance consultant to work with us on a
project related to Solr faceted search and NLP. It involves data extraction
/ summarisation and custom faceted search on Solr.
Please contact me if you have expertise in this area and can work remotely
with a small team
Make that fq not facet.query. Does that do what you want?
Erik
On Nov 10, 2014, at 00:40, Mayuri Laxman Gadsing gads...@usc.edu wrote:
Hi all,
I'm using the faceted search in Solr. I wanted to know if there's a way to
display selective records in the sublist.
I've tried
Hi all,
I'm using the faceted search in Solr. I wanted to know if there's a way to
display selective records in the sublist.
I've tried this query -
localhost:8983/solr/select?q=*:*facet=truefacet.pivot=city,jobtypefacet.field=jobtypefacet.query=jobtype:Tiempofl=title
I want to display jobs
We have a big Solr search application where I need to add a faceted search
for a certain request handler.
And it does not work whereas for select handler it does.
I tried to find something in the configuration but could not.
If possible, please let me know where I should look at to find
On 3/17/2014 9:25 AM, vit wrote:
We have a big Solr search application where I need to add a faceted search
for a certain request handler.
And it does not work whereas for select handler it does.
I tried to find something in the configuration but could not.
If possible, please let me know where
and there can be millions of distinct tag values.
Thanks
--
View this message in context:
http://lucene.472066.n3.nabble.com/Solr-Lucene-Faceted-Search-Too-Many-Unique-Values-tp4112860.html
Sent from the Solr - User mailing list archive at Nabble.com
(http://Nabble.com).
On Wed, 2014-01-22 at 23:59 +0100, Bing Hua wrote:
I am going to evaluate some Lucene/Solr capabilities on handling faceted
queries, in particular, with a single facet field that contains large number
(say up to 1 million) of distinct values. Does anyone have some experience
on how lucene
D
Doc2 has tags B C D E
etc etc millions of docs and there can be millions of distinct tag values.
Thanks
--
View this message in context:
http://lucene.472066.n3.nabble.com/Solr-Lucene-Faceted-Search-Too-Many-Unique-Values-tp4112860.html
Sent from the Solr - User mailing list archive
on how lucene performs in this scenario?
e.g.
Doc1 has tags A B C D
Doc2 has tags B C D E
etc etc millions of docs and there can be millions of distinct tag values.
Thanks
--
View this message in context:
http://lucene.472066.n3.nabble.com/Solr-Lucene-Faceted-Search-Too
:
http://lucene.472066.n3.nabble.com/Solr-Lucene-Faceted-Search-Too-Many-Unique-Values-tp4112860.html
Sent from the Solr - User mailing list archive at Nabble.com
(http://Nabble.com).
Hello,
Here is a public API that uses facet fields:
http://golr.berkeleybop.org/select?qt=standardfl=*version=2.2wt=jsonindent=onrows=0facet=truefacet.field=typeq=document_category:%22annotation%22
It looks like the default behavior is to sort facet_counts.facet_fields
(field called 'type' in
If you don't want the facets sorted by decreasing count (the default),
you can specify
facet.sort=index
to get index order ((lexicographic by indexed term)
-Yonik
http://heliosearch.com -- making solr shine
On Sun, Dec 15, 2013 at 2:08 PM, MC videm...@gmail.com wrote:
Hello,
Here is a public
://lucene.472066.n3.nabble.com/Memory-Using-In-Faceted-Search-UnInvertedField-s-tp4090889p4091014.html
Sent from the Solr - User mailing list archive at Nabble.com.
On 9/19/2013 3:14 AM, Anton M wrote:
Shawn, I had swap file growing (up to 50-60%) and working while load tests
ran. Did you configure 'swapiness' on your Linux box (set it to 0 earlier,
maybe)? If not, my Windows OS could be cause of that difference.
The vm.swappiness sysctl setting is 1. I
Hello,
I'm using Solr 4.3.1 for faceted search and have 4 fields used for faceting. My
question is about memory consumtion.
I've set up heap size to use 6Gb of RAM, but I see in resource monitor it uses
much more than that - up to 10Gb where 4 Gb is reported as shareable memory.
I've
On 9/18/2013 11:08 AM, an...@swooptalent.com wrote:
I'm using Solr 4.3.1 for faceted search and have 4 fields used for faceting.
My question is about memory consumtion.
I've set up heap size to use 6Gb of RAM, but I see in resource monitor it
uses much more than that - up to 10Gb where 4 Gb
://lucene.472066.n3.nabble.com/Solr-faceted-search-UI-tp4058598p4058617.html
Sent from the Solr - User mailing list archive at Nabble.com.
of
ruby on rails, will I be able to present in short period of time? any
suggestion on this?
--
View this message in context:
http://lucene.472066.n3.nabble.com/Solr-faceted-search-UI-tp4058598p4058617.html
Sent from the Solr - User mailing list archive at Nabble.com.
suggestion.
Tell me one thing, do you have any example on solrj? suppose I decide to
use solrj in simple web application, to display faceted search on web page.
Where will this fit into? what will be the flow?
Please suggest.
Thanks
On Wed, Apr 24, 2013 at 11:01 AM, Majirus FANSI [via Lucene
Hi,
I am working on a POC, where I have to display faceted search result on web
page. can anybody please help me to suggest what all set up I need to
configure to display. I would prefer java technologies. Just to mention, I
have solr cloud running on remote server.
I would like to know:
1. Should
featured front-end to Solr. There's also solrstrap that looks
like a fun place to do some lightweight PoC development.
Erik
On Apr 24, 2013, at 10:43 , richa wrote:
Hi,
I am working on a POC, where I have to display faceted search result on web
page. can anybody please help me
Hi richa,
You can use solrJ (http://wiki.apache.org/solr/Solrj#Reading_Data_from_Solr)
to query your solr index.
On the wiki page indicated, you will see example of faceted search using
solrJ.
2009 article by Yonik available on
searchhubhttp://searchhub.org/2009/09/02/faceted-search-with-solr
suggest or how would you have proceeded
for this?
Blacklight seems to be a good option, not sure without prior knowledge of
ruby on rails, will I be able to present in short period of time? any
suggestion on this?
--
View this message in context:
http://lucene.472066.n3.nabble.com/Solr-faceted
or how would you have proceeded
for this?
Blacklight seems to be a good option, not sure without prior knowledge of
ruby on rails, will I be able to present in short period of time? any
suggestion on this?
--
View this message in context:
http://lucene.472066.n3.nabble.com/Solr-faceted
Hi Maj,
Thanks for your suggestion.
Tell me one thing, do you have any example on solrj? suppose I decide to
use solrj in simple web application, to display faceted search on web page.
Where will this fit into? what will be the flow?
Please suggest.
Thanks
On Wed, Apr 24, 2013 at 11:01 AM
appreciate your answer
Erol Akarsu
--
View this message in context:
http://lucene.472066.n3.nabble.com/Faceted-search-on-SOLR-tp4045297p4045563.html
Sent from the Solr - User mailing list archive at Nabble.com.
, Mar 6, 2013 at 1:06 PM, Erol Akarsu eaka...@gmail.com wrote:
Hello,
I am trying to design faceted search with SOLR.
When I define
str name=facet.fieldCPU_Type/str
I am getting results with http://localhost:8080/solr/browse
CPU Type
core (415)
intel (368)
i5 (176)
i3
? And if I
facet Data 1 + Data 11, I only want to see Data 21.
--
View this message in context:
http://lucene.472066.n3.nabble.com/Faceted-search-question-Tokenizing-tp4012948p4012956.html
Sent from the Solr - User mailing list archive at Nabble.com.
a feeling like this is a wrong approach to this problem.
--
View this message in context:
http://lucene.472066.n3.nabble.com/Faceted-search-question-Tokenizing-tp4012948.html
Sent from the Solr - User mailing list archive at Nabble.com.
8:52 AM
To: solr-user@lucene.apache.org
Subject: Faceted search question (Tokenizing)
Hey There,
We have the following data structure:
- Person
-- Interest 1
--- Subinterest 1
--- Subinterest 1 Description
--- Subinterest 1 ID
-- Interest 2
--- Subinterest 2
--- Subinterest 2 Description
for indexing and the queries will be load balanced across to the
replicated slave servers. I would like to know if, with the current support
for Near Real Time search in 4.0, there's support for Faceted Search. Keeping
in mind that the searches will be performed against the Slave servers
if, with the current support for
Near Real Time search in 4.0, there's support for Faceted Search. Keeping in
mind that the searches will be performed against the Slave servers and not the
Master (indexing) server.
If it's not supported, will we need to use SolrCloud to gain the benefits of
Near Real Time
read
about
multiple indexes etc).
Many thanks
--
View this message in context:
http://lucene.472066.n3.nabble.com/Will-Solr-Lucene-crawl-multi-websites-aka-a-mini-google-with-faceted-search-tp3328314p3328314.html
Sent from the Solr - User mailing list archive at Nabble.com
ecommerce sites will
take forever, when it seems solr might do that for me? (I have read about
multiple indexes etc).
Many thanks
--
View this message in context:
http://lucene.472066.n3.nabble.com/Will-Solr-Lucene-crawl-multi-websites-aka-a-mini-google-with-faceted-search-tp3328314p3328314.html
Sent
-with-faceted-search-tp3328314p3328314.html
Sent from the Solr - User mailing list archive at Nabble.com.
).
Many thanks
--
View this message in context:
http://lucene.472066.n3.nabble.com/Will-Solr-Lucene-crawl-multi-websites-aka-a-mini-google-with-faceted-search-tp3328314p3328314.html
Sent from the Solr - User mailing list archive at Nabble.com
-multi-websites-aka-a-mini-google-with-faceted-search-tp3328314p3328314.html
Sent from the Solr - User mailing list archive at Nabble.com.
___
If you reply to this email, your message will be added to the discussion
below:
http://lucene.472066.n3
On Tue, Aug 16, 2011 at 03:58:29PM -0400, Grant Ingersoll wrote:
I know you mean well and are probably wondering what to do next [...]
Still, a short heads-up like Johnson's would seem OK?
After all, this is of concern to us all.
Regards
-- tomás
On Wed, Aug 17, 2011 at 3:12 AM, Tomas Zerolo
tomas.zer...@axelspringer.de wrote:
On Tue, Aug 16, 2011 at 03:58:29PM -0400, Grant Ingersoll wrote:
I know you mean well and are probably wondering what to do next [...]
Still, a short heads-up like Johnson's would seem OK?
After all, this is of
Le 17 août 2011 à 13:01, Robert Muir a écrit :
On Tue, Aug 16, 2011 at 03:58:29PM -0400, Grant Ingersoll wrote:
I know you mean well and are probably wondering what to do next [...]
Still, a short heads-up like Johnson's would seem OK?
After all, this is of concern to us all.
nothing to
, Microsoft, and Adobe, potentially anyone who uses faceted search
systems could potentially be at risk.
Take it for what it's worth. Don't shoot the messenger.
--
View this message in context:
http://lucene.472066.n3.nabble.com/Faceted-Search-Patent-Lawsuit-Please-Read-tp3259475p3261514.html
will be involved
and they aren't cheap. Until the suits have been played out with the likes
of eBay, Microsoft, and Adobe, potentially anyone who uses faceted search
systems could potentially be at risk.
Take it for what it's worth. Don't shoot the messenger.
--
View this message in context
I have no plan to look at the patents, but there is some serious prior art in
faceted search. First, faceted classification for libraries was invented by S.
R. Ranganathan in 1933. Computer search for libraries dates from the 1960's,
probably. Combining the two is obvious, even back
patent rights only last 17 years then it is public domain.
On 08/17/2011 11:05 AM, Walter Underwood wrote:
I have no plan to look at the patents, but there is some serious prior art in
faceted search. First, faceted classification for libraries was invented by S.
R. Ranganathan in 1933
.
Regards,
Gora
On 17-Aug-2011 8:36 PM, Walter Underwood wun...@wunderwood.org wrote:
I have no plan to look at the patents, but there is some serious prior art
in faceted search. First, faceted classification for libraries was invented
by S. R. Ranganathan in 1933. Computer search for libraries
that this patent gives them the rights to faceted
search technology. Consequently, anyone who uses this technology without
paying licensing fees is potentially a target of litigation. They have
outstanding suits with companies such as Microsoft and Ebay. Additionally,
Adobe filed a counter-suit
On Wed, Aug 17, 2011 at 12:03 AM, LaMaze Johnson lam...@zesco.com wrote:
[...]
Just thought I would make others aware of this. I'd appreciate any insight
others might have regarding the issue.
[...]
If you will permit me a moment of levity, from the perspective of
someone in India, I would
the perspective of
someone in India, I would say, move to a non-third-world country
that does not believe in Irrational Property Rights (IPR). Apply
smileys as needed.
Regards,
Gora
Permission granted. I'm interested to know how all of this will play out in
the courts. Faceted search seems
and
System for Executing a Guided Parametric Search.
Apparently, they believe that this patent gives them the rights to faceted
search technology. Consequently, anyone who uses this technology without
paying licensing fees is potentially a target of litigation. They have
outstanding suits
that can only be decided in the
courts.
-Grant
We will definitely be in touch with our legal counsel. This was more a
heads up in hopes that others aren't blindsided by this.
--
View this message in context:
http://lucene.472066.n3.nabble.com/Faceted-Search-Patent-Lawsuit-Please-Read
While I agree with Grant we shouldn't engage on a legal discussion, it may be
worth that this thread shares a few dates of when faceted search was used in
the old times...
paul
Le 16 août 2011 à 22:02, LaMaze Johnson a écrit :
Grant Ingersoll-2 wrote:
I know you mean well
Hello List,
Please see my question at
http://stackoverflow.com/questions/5552919/how-does-lucene-solr-achieve-high-performance-in-multi-field-faceted-search,
I would be interested to know some details.
Thank you,
Robin
-achieve-high-performance-in-multi-field-faceted-search
,
I would be interested to know some details.
Thank you,
Robin
Carbon copied:
*Context*
This is a question mainly about Lucene (or possibly Solr) internals. The
main topic is *faceted search*, in which search can happen along multiple
independent dimensions (facets) of objects (for example size, speed, price
of a car).
When implemented with relational
better faceted search performance theoretically than
RDBMS could (if so)?
*Note: My first guess would be that Lucene would use some space partitioning
method for partitioning a vector space built from the document fields as
dimensions, but as I understand Lucene is not purely vector space based
#Can_I_store_the_Lucene_index_in_a_relational_database.3F
Jonathan
So the question is, what is this technique/trick? More broadly: Why can
Lucene/Solr achieve better faceted search performance theoretically than
RDBMS could (if so)?
*Note: My first guess would be that Lucene would use some space
: Hoss, I think the use case being asked about is specifically doing a
: facet.sort though, for cases where you actually do want to sort facet values
: with facet.sort, not sort records -- while still presenting the facet values
: with original case, but sorting them case insensitively.
Ah yes
: I am trying to do a facet search and sort the facet values too.
...
: Then I followed the sample example schema.xml, created a copyField of type
...
: fieldType name=alphaOnlySort class=solr.TextField
: sortMissingLast=true omitNorms=true
...
: But the
Hoss, I think the use case being asked about is specifically doing a
facet.sort though, for cases where you actually do want to sort facet
values with facet.sort, not sort records -- while still presenting the
facet values with original case, but sorting them case insensitively.
The solutions
-faceted-search-tp2099248p2099248.html
Sent from the Solr - User mailing list archive at Nabble.com.
I am sorry for raising up this thread after 6 months.
But we have still problems with faceted search on full-text fields.
We try to get most frequent words in a text field that is created in 1 hour.
The faceted search takes too much time even the matching number of documents
(created_at within 1
the filterCache much
of the time via facet.enum.cache.minDf.
-Yonik
http://www.lucidimagination.com
On Thu, Dec 16, 2010 at 6:39 PM, Furkan Kuru furkank...@gmail.com wrote:
I am sorry for raising up this thread after 6 months.
But we have still problems with faceted search on full-text fields.
We try
webcast
Mastering the Power of Faceted Search
with Chris Hostetter
Wednesday, September 15, 2010
9:00 AM PST / 12:00 PM EST / 17:00 GMT
Click here to sign up
http://www.eventsvc.com/lucidimagination/event/f5d87726f8ab4ed4911aad605f94f455?trk=AP
Few search features have contributed as much
Hi,
I am currently using nutch to crawl some job pages from job boards. They are
in my solr index now. I want to do faceted search with the job titles. How?
The job titles can be in any locations of the page, e.g. title, header,
content... If I use indexfilter in Nutch to search
Message-
From: Savannah Beckett [mailto:savannah_becket...@yahoo.com]
Sent: 21 July 2010 16:38
To: solr-user@lucene.apache.org
Subject: faceted search with job title
Hi,
I am currently using nutch to crawl some job pages from job boards. They are
in my solr index now. I want to do faceted
Sent: Wed, July 21, 2010 8:42:55 AM
Subject: RE: faceted search with job title
You'd probably need to do some post processing on the pages and set up rules
for
each website to grab that specific bit of data. You could load the html into an
xml parser, then use xpath to grab content from
-Kallin Nagelberg
-Original Message-
From: Savannah Beckett [mailto:savannah_becket...@yahoo.com]
Sent: Wednesday, July 21, 2010 12:20 PM
To: solr-user@lucene.apache.org
Cc: dave.sea...@magicalia.com
Subject: Re: faceted search with job title
mmm...there must be better way...each job
code. But
is regex pattern flexible enough for all job boards?
Thanks.
From: Nagelberg, Kallin knagelb...@globeandmail.com
To: solr-user@lucene.apache.org solr-user@lucene.apache.org
Sent: Wed, July 21, 2010 10:39:32 AM
Subject: RE: faceted search with job
21, 2010 10:39:32 AM
Subject: RE: faceted search with job title
Yeah you should definitely just setup a custom parser for each site.. should
be
easy to extract title using groovy's xml parsing along with tagsoup for
sloppy
html. If you can't find the pattern for each site leading
Hi,
I try to make a faceted search on a very large index (around 200GB with 200M
doc).
I have an out of memory error. With no facet it works fine.
There are quite many questions around this but I could not find the answer.
How can we know the required memory when facets are used so that I try
Did you trying paging them?
-Original Message-
From: olivier sallou [mailto:olivier.sal...@gmail.com]
Sent: Tuesday, June 29, 2010 2:04 PM
To: solr-user@lucene.apache.org
Subject: Faceted search outofmemory
Hi,
I try to make a faceted search on a very large index (around 200GB
How do make paging over facets?
2010/6/29 Ankit Bhatnagar abhatna...@vantage.com
Did you trying paging them?
-Original Message-
From: olivier sallou [mailto:olivier.sal...@gmail.com]
Sent: Tuesday, June 29, 2010 2:04 PM
To: solr-user@lucene.apache.org
Subject: Faceted search
http://wiki.apache.org/solr/SimpleFacetParameters#facet.limit
-Original message-
From: olivier sallou olivier.sal...@gmail.com
Sent: Tue 29-06-2010 20:11
To: solr-user@lucene.apache.org;
Subject: Re: Faceted search outofmemory
How do make paging over facets?
2010/6/29 Ankit Bhatnagar
Subject: Faceted search outofmemory
Hi,
I try to make a faceted search on a very large index (around 200GB with
200M
doc).
I have an out of memory error. With no facet it works fine.
There are quite many questions around this but I could not find the answer.
How can we know the required memory
? Many servlet containers have
small amount by default.
-Kal
-Original Message-
From: olivier sallou [mailto:olivier.sal...@gmail.com]
Sent: Tuesday, June 29, 2010 2:04 PM
To: solr-user@lucene.apache.org
Subject: Faceted search outofmemory
Hi,
I try to make a faceted search
the facet
counts of all 1M of facet terms, or did you limit the number of facet terms
returned to a small number?
Also did your entire index fit within RAM?
--- On Sat, 6/5/10, Furkan Kuru furkank...@gmail.com wrote:
From: Furkan Kuru furkank...@gmail.com
Subject: Re: Faceted Search Slows Down
On Sun, Jun 6, 2010 at 7:38 AM, Furkan Kuru furkank...@gmail.com wrote:
facet.limit = default value 100
facet.minCount is 1
The document count that matches the query is 8-10K in average. I did not
calculate the terms (maybe using using facet.limit=-1 and facet.minCount=1)
My index entirely
We try to provide real-time search. So the index is changing almost in every
minute.
We commit for every 100 documents received.
The facet search is executed every 5 mins.
Here is the stats result after facet search with normal facet.method=fc (it
took 95 seconds)
*name: * fieldValueCache
On Sun, Jun 6, 2010 at 1:12 PM, Furkan Kuru furkank...@gmail.com wrote:
We try to provide real-time search. So the index is changing almost in every
minute.
We commit for every 100 documents received.
The facet search is executed every 5 mins.
OK, that's the problem - pretty much every
Using the Zoie/Bobo combination gives you realtime faceting. (Lucene based)
http://sna-projects.com/zoie/
http://sna-projects.com/bobo/
wiki write-up:
http://snaprojects.jira.com/wiki/display/BOBO/Realtime+Faceting+with+Zoie
We can take this over to the zoie/bobo mailing list if you have
Ok, I will have a look at distributed search, multi-core solr solution.
Thank you Yonik,
On Sun, Jun 6, 2010 at 8:54 PM, Yonik Seeley yo...@lucidimagination.comwrote:
On Sun, Jun 6, 2010 at 1:12 PM, Furkan Kuru furkank...@gmail.com wrote:
We try to provide real-time search. So the index is
strategy still work in this case? If
not, is there any other way to mitigate the cache re-building problem of facet
search?
--- On Sun, 6/6/10, Yonik Seeley yo...@lucidimagination.com wrote:
From: Yonik Seeley yo...@lucidimagination.com
Subject: Re: Faceted Search Slows Down as index gets
The documents full-text fields are 140 chars length (tweets).
Actually I had looked at those parameters and thought no change was
neccessary because the terms per document would be few and the unique term
count was nearly 1 M. I don't know exactly but average term count per
document text can be
Hello,
I have been dealing with real-time data.
As the number of total indexed documents gets larger (now 5 M)
a faceted search on a text field limited by the creation time, which we use
to find the most used word in all these text fields, gets slow down.
query string: created_time:[NOW-1HOUR
...@gmail.com wrote:
Hello,
I have been dealing with real-time data.
As the number of total indexed documents gets larger (now 5 M)
a faceted search on a text field limited by the creation time, which we use
to find the most used word in all these text fields, gets slow down.
query string
1 - 100 of 159 matches
Mail list logo
