Erick:
> ...one for each cluster and just merged the docs when it got them back
This would be the logical way. I'm afraid that "just merged the docs" is the
crux here, that would
make this an expensive task. You'd have to merge docs, facets, highlights etc,
handle the
different search phases
Hi,
I am an ex FAST employee and actually used Unity a lot myself, even hacking the
code
writing custom mixers etc :)
That is all cool, if you want to write a generic federation layer. In our case
we only ever
need to talk to Solr instances with exactly the same schema and doument types,
Many years ago, in a different universe, when Federated Search was a buzzword we
used Unity from FAST FDS (which is now MS ESP). It worked pretty well across
many systems like FAST FDS, Google, Gigablast, ...
Very flexible with different mixers, parsers, query transformers.
Was written in Python
On 30/01/2018 16:09, Jan Høydahl wrote:
Hi,
A customer has 10 separate SolrCloud clusters, with same schema across all, but
different content.
Now they want users in each location to be able to federate a search across all
locations.
Each location is 100% independent, with separate ZK etc.
Jan:
Hmmm, must Solr do the work? On some level it seems easier if your
middle layer (behind your single IP) has 10 CloudSolrClient thread
pools, one for each cluster and just merged the docs when it got them
back. That would take care of all of the goodness of internal LBs and
all that.
Quick extra clarification – the documents in question we are searching for are
child documents we are searching direct (no parent/child in the query)
-Frank
From: Frank J Kelly >
Reply-To:
Hi all,
thanks to Andrea Gazzarini suggestion I solved it using local params ( which
is different from macro expansion even if conceptually similar).
Local params were available in Solr 4.10.x
I appended this filter query in the request handler of interest:
{!lucene df=filterField
5.x will still build a war file that you an deploy on Tomcat. But
support for that is going away eventually, certainly by 6.0. But you
do have to make the decision sometime before 6.0 at least.
Best,
Erick
On Wed, May 27, 2015 at 1:24 PM, Vishal Swaroop vishal@gmail.com wrote:
Thanks a lot
Hard to say. I've seen 20M doc be the place you need to consider
sharding/SolrCloud. I've seen 300M docs be the place you need to start
sharding. That said I'm quite sure you'll need to shard before you get
to 2B. There's no good reason to delay that process.
You'll have to do something about the
Thanks a lot Erick... You are right we should not delay moving to
sharding/SolrCloud process.
As you all are expert... currently we are using SOLR 4.7.. Do you suggest
we should move to latest SOLR release 5.1.0 ? or we can manage the above
issue using SOLR 4.7
Regards
Vishal
On Wed, May 27,
I'd move to Solr 4.10.3 at least, but preferably Solr 5.x. Solr 5.2 is
being readied for release as we speak, it'll probably be available in
a week or so barring unforeseen problems and that's the one I'd go
with by preference.
Do be aware, though, that the 5.x Solr world deprecates using a war
thanks Erick
--
View this message in context:
http://lucene.472066.n3.nabble.com/distributed-search-on-tables-tp4197456p4198285.html
Sent from the Solr - User mailing list archive at Nabble.com.
You can do what you want either by using two queries or using
grouping/field collapsing.
Best,
Erick
On Fri, Apr 3, 2015 at 8:03 AM, avinash09 avinash.i...@gmail.com wrote:
Hi,
I have a use case search all the name=*test* from two tables (product and
department)
i need distributed result 5
It was because I did not have unique id's in my index. I added that and it
worked. Also it is mentioned as one of the requirement for Distributed Search.
Thanks,Jaikit
On Wednesday, January 14, 2015 1:53 AM, Jaikit Savla
jaikit.sa...@yahoo.com wrote:
Folks,
I have set up 3 cores
Jaikit,
uniq key is mandatory for distributed search. if most of your docs have ids
assigned, you can drop remaining ones by adding something like ..fq=id:[*
TO *]
On Wed, Jan 14, 2015 at 12:53 PM, Jaikit Savla
jaikit.sa...@yahoo.com.invalid wrote:
Folks,
I have set up 3 cores in a single
I agree with Eric that this is premature unless you can show that it makes
a difference.
Firstly why are you splitting the data into multiple time tiers (one
recent, and one all) and then waiting to merge results from all of them?
Time tiering is useful when you can do the search separately on
: Distributed Search in Solr with different queries per shard
I suppose you could, but I _really_ question whether it's a wise investment
in time. Personally I'd treat them as two different collections and have the
app layer fire off two queries and do the aggregation (this is a variant
I suppose you could, but I _really_ question whether it's a wise
investment in time. Personally I'd treat them as two different
collections and have the app layer fire off two queries and do the
aggregation (this is a variant of federated search I think). This
removes your issue with having the
Unfortunately the same query will be sent to all cores if you use the shards
parameter to query multiple cores.
Is there some characteristic of the first core that is distinct from the
second core so that you could OR the differences between the two?
-- Jack Krupansky
-Original
-
From: Jack Krupansky [mailto:j...@basetechnology.com]
Sent: Wednesday, May 21, 2014 6:52 PM
To: solr-user@lucene.apache.org
Subject: Re: Distributed Search in Solr with different queries per shard
Unfortunately the same query will be sent to all cores if you use the shards
parameter to query
[mailto:erickerick...@gmail.com]
Sent: Wednesday, May 21, 2014 6:13 PM
To: solr-user@lucene.apache.org
Subject: Re: Distributed Search in Solr with different queries per shard
I suppose you could, but I _really_ question whether it's a wise investment in
time. Personally I'd treat them as two different
Hi Ryan,
just take a look on the thread TermsComponent/SolrCloud.
Setting your parameters as default in solrconfig.xml should help.
Uwe
Am 13.01.2014 20:24, schrieb Ryan Fox:
Hello,
I am running Solr 4.6.0. I am experiencing some difficulties using the
terms component across multiple
https://issues.apache.org/jira/browse/SOLR-5478
There it goes
On Mon, Nov 18, 2013 at 5:44 PM, Manuel Le Normand
manuel.lenorm...@gmail.com wrote:
Sure, I am out of office till end of week. I reply after i upload the patch
Manuel, that sounds very interesting. Would you be willing to
contribute this back to the community?
On Mon, Nov 18, 2013 at 9:53 AM, Manuel Le Normand
manuel.lenorm...@gmail.com wrote:
In order to accelerate the BinaryResponseWriter.write we extended this
writer class to implement the docid to
Hi
Thanks very much for your answers :)
Manuel, if you have a patch I will be glad to test it's performance
Yuval
On Mon, Nov 18, 2013 at 10:49 AM, Shalin Shekhar Mangar
shalinman...@gmail.com wrote:
Manuel, that sounds very interesting. Would you be willing to
contribute this back to the
Sure, I am out of office till end of week. I reply after i upload the patch
.
Is there a way to improve the performance (code, configuration, query)?
-Original Message-
From: idokis...@gmail.com [mailto:idokis...@gmail.com] On Behalf Of
Manuel Le Normand
Sent: Thursday, November 14, 2013 1:30 AM
To: solr-user@lucene.apache.org
Subject: Re: distributed search
: Thursday, November 14, 2013 1:30 AM
To: solr-user@lucene.apache.org
Subject: Re: distributed search is significantly slower than direct
search
It's surprising such a query takes a long time, I would assume that
after
trying consistently q=*:* you should be getting cache hits and times
should
[mailto:idokis...@gmail.com] On Behalf Of
Manuel Le Normand
Sent: Thursday, November 14, 2013 1:30 AM
To: solr-user@lucene.apache.org
Subject: Re: distributed search is significantly slower than direct
search
It's surprising such a query takes a long time, I would assume
)?
-Original Message-
From: idokis...@gmail.com [mailto:idokis...@gmail.com] On Behalf Of
Manuel Le Normand
Sent: Thursday, November 14, 2013 1:30 AM
To: solr-user@lucene.apache.org
Subject: Re: distributed search is significantly slower than direct
search
It's surprising such a query takes
In order to accelerate the BinaryResponseWriter.write we extended this
writer class to implement the docid to id tranformation by docValues (on
memory) with no need to access stored field for id reading nor lazy loading
of fields that also has a cost. That should improve read rate as docValues
are
@lucene.apache.org
Subject: Re: distributed search is significantly slower than direct search
It's surprising such a query takes a long time, I would assume that after
trying consistently q=*:* you should be getting cache hits and times should be
faster. Try see in the adminUI how do your query/doc
, configuration, query)?
-Original Message-
From: idokis...@gmail.com [mailto:idokis...@gmail.com] On Behalf Of Manuel Le
Normand
Sent: Thursday, November 14, 2013 1:30 AM
To: solr-user@lucene.apache.org
Subject: Re: distributed search is significantly slower than direct search
It's surprising
: Wednesday, October 30, 2013 3:17 AM
To: solr-user@lucene.apache.org
Subject: Re: distributed search is significantly slower than direct search
You can't. There will inevitably be some overhead in the distributed case.
That said, 7 seconds is quite long.
5,000 rows is excessive, and probably where
]
Sent: Wednesday, October 30, 2013 3:17 AM
To: solr-user@lucene.apache.org
Subject: Re: distributed search is significantly slower than direct
search
You can't. There will inevitably be some overhead in the distributed
case.
That said, 7 seconds is quite long.
5,000 rows is excessive
: Erick Erickson [mailto:erickerick...@gmail.com]
Sent: Wednesday, October 30, 2013 3:17 AM
To: solr-user@lucene.apache.org
Subject: Re: distributed search is significantly slower than direct search
You can't. There will inevitably be some overhead in the distributed case. That
said, 7 seconds is quite
You can't. There will inevitably be some overhead in the
distributed case. That said, 7 seconds is quite long.
5,000 rows is excessive, and probably where your issue is. You're
having to go out and fetch the docs across the wire. Perhaps there
is some batching that could be done there, I don't
This usually means the end server timed out.
On 06/30/2013 06:31 AM, Shahar Davidson wrote:
Hi all,
We're getting the below exception sporadically when using distributed search.
(using Solr 4.2.1)
Note that 'core_3' is one of the cores mentioned in the 'shards' parameter.
Any ideas anyone?
: Distributed search results in SocketException: Connection reset
This usually means the end server timed out.
On 06/30/2013 06:31 AM, Shahar Davidson wrote:
Hi all,
We're getting the below exception sporadically when using distributed
search. (using Solr 4.2.1) Note that 'core_3' is one
Firstly, you could combine your two schemas into one, and have id,
title, body, filename and url. I'd also add 'source' too. Then all
questions of different schemas go away :-)
But, to answer your original question - so long as the fields that are
queried on exist on both sides, you should be
On Mon, Feb 25, 2013 at 8:26 PM, Mark Miller markrmil...@gmail.com wrote:
Please file a JIRA issue and attach your patch. Great write up! (Saw it
pop up on twitter, so I read it a little earlier).
Done.
https://issues.apache.org/jira/browse/SOLR-4509
I don't have anything to add besides saying this is awesome. Great analysis.
-Michael
On Feb 25, 2013, at 8:14 PM, Ryan Zezeski rzeze...@gmail.com wrote:
I would like to see a
similar fix made upstream and that is why I am posting here.
Please file a JIRA issue and attach your patch. Great write up! (Saw it pop up
on twitter, so I read it a little earlier).
- Mark
On my particular benchmark rig, each stale check call accounted for an
additional ~10ms.
That's insane!
It's still not even clear to me how the stale check works (reliably).
Couldn't the server still close the connection between the stale check
and the send of data by the client?
-Yonik
On Mon, Feb 25, 2013 at 8:42 PM, Yonik Seeley yo...@lucidworks.com wrote:
That's insane!
It is insane. Keep in mind this was a 5-node cluster on the
same physical machine sharing the same resources. It consist of 5 smartos
zones on the same global zone. On my MacBook Pro I saw ~1.5ms
This is possible, but you have to create a schema that somehow
rationalizes the differences of the two, either by having the sum of
all the fields, by sharing the fields but using a type field to
signify the sense in which they're being used, by using dynamic fields
to relax the schema, or some
Ashutosh,
Do you want to import data to solr?please explain the use case. How you are
performing a search in current scenario? And what is expected from solr?
Rgds
AJ
On 22-Jun-2012, at 15:09, Ashutosh Puspwan ashu.pusp...@gmail.com wrote:
Dear Sir/Mam
I am a beginner in apache solr. I
The thought here is to distribute a search between two different
solrcloud clusters and get ordered ranked results between them.
It's possible?
On Tue, 2012-05-15 at 18:47 -0400, Darren Govoni wrote:
Hi,
Would distributed search (the old way where you provide the solr host
IP's etc.) still
Yeah, you can still override the shards param and search anywhere AFAIK. I have
not tried it recently, but it should work.
On May 18, 2012, at 7:57 AM, Darren Govoni wrote:
The thought here is to distribute a search between two different
solrcloud clusters and get ordered ranked results
Hmmm, *how* does this not work? What are you seeing
when you try this and what to do you expect to see? Also,
what does attaching debugQuery=on show you?
Best
Erick
On Sat, Feb 11, 2012 at 1:34 PM, ku3ia dem...@gmail.com wrote:
Hi!
I'm using Solr 3.5. I have two shards. Now I'm using default
I know I've seen other anomalies with odd characters
in field names. In general, it's much safer to use
only letters, numbers, and underscores. In fact, I
even prefer lowercase letters. Since you're pretty
sure those work, why not just use them?
Best
Erick
On Wed, Sep 28, 2011 at 6:59 AM, Luis
Hi,
On 09/29/2011 03:10 PM, Erick Erickson wrote:
I know I've seen other anomalies with odd characters
in field names. In general, it's much safer to use
only letters, numbers, and underscores. In fact, I
even prefer lowercase letters. Since you're pretty
sure those work, why not just use
I am still fighting (after a month of doing other things) with the first
part of the problem. Any ideas?
Many thanks,
Rok
On Mon, Apr 4, 2011 at 9:06 AM, Rok Rejc rokrej...@gmail.com wrote:
Hi all,
I am trying to create a distributed search component in solr which is quite
difficult (at
Can you please provide more information about your setup and what requests you
are making?
On Apr 19, 2011, at 10:40 AM, Laurent Fleifel wrote:
Hello,
I want to do distributed search with Solr for embedded servers via Solrj.
For now, I use MultiCore features (as in the tutorial) by
Hi. All.
I tried with the default solr example plus my own config/schema file. I
post test document into solr manually. Then test the distributed search and
it works. Then I switch to my existing l*ucene index, and it d*oesn't work.
So I am wondering is that the reason, when solr use lucene
Hi. All.
I am still testing. I think I am approaching the truth. Now confirmed:
the doc in my existing lucene indexes, when search with distributed search,
none of them are returned. But the docs inserted from solr post.jar are
returned successfully.
Don't know why. looks the lucene docs
, markus.rietz...@rzf.fin-nrw.de wrote:
did you send a commit after the last doc posted to solr?
-Ursprüngliche Nachricht-
Von: Scott Zhang [mailto:macromars...@gmail.com]
Gesendet: Dienstag, 8. Juni 2010 08:30
An: solr-user@lucene.apache.org
Betreff: Re: Distributed Search doesn't
Hi Scott,
We need more information about your request, can you put the query that you
are doing to the servers.
Marco Martínez Bautista
http://www.paradigmatecnologico.com
Avenida de Europa, 26. Ática 5. 3ª Planta
28224 Pozuelo de Alarcón
Tel.: 91 352 59 42
2010/6/7 Scott Zhang
Thanks for replying.
Here is the part of my schema.xml:
I only have 4 fields in my document.
fields
field name=id type=string indexed=true stored=true
required=true /
field name=type type=string indexed=true stored=true
required=true/
field name=keyword_level1 type=text indexed=true
Try to put the rows parameter in your request, i guess that in your
solrconfig you have configured the default rows to 0 in your default request
handler.
Marco Martínez Bautista
http://www.paradigmatecnologico.com
Avenida de Europa, 26. Ática 5. 3ª Planta
28224 Pozuelo de Alarcón
Tel.: 91 352 59
Hi.
I tried URL:
http://localhost:8983/solr/select?shards=localhost:8983/solr,localhost:7574/solrindent=trueq=marshiprows=10
Got:
response
-
lst name=responseHeader
int name=status0/int
int name=QTime16/int
-
lst name=params
str name=shardslocalhost:8983/solr,localhost:7574/solr/str
str
Is there a possibility caused by I am using my own lucene indexes.
Not the one created by solr itself?
Regards
Scott
On Mon, Jun 7, 2010 at 4:24 PM, Scott Zhang macromars...@gmail.com wrote:
Hi.
I tried URL:
On 03/09/2010 04:28 PM, Shawn Heisey wrote:
I attended the Webinar on March 4th. Many thanks to Yonik for
putting that on. That has led to some questions about the best way
to bring fault tolerance to our distributed search. High level
question: Should I go with SolrCloud, or stick with
My response to this was mangled by my email client - sorry - hopefully
this one comes through a little easier to read ;)
On 03/09/2010 04:28 PM, Shawn Heisey wrote:
I attended the Webinar on March 4th. Many thanks to Yonik for putting
that on. That has led to some questions about the best
I guess I must be including too much information in my questions,
running into tl;dr with them. Later today when I have more time I'll
try to make it more bite-size.
On 3/9/2010 2:28 PM, Shawn Heisey wrote:
I attended the Webinar on March 4th. Many thanks to Yonik for putting
that on. That
Have you played around with the option httpclose or the option
forceclose configuration options in HAProxy (both documented here:
http://haproxy.1wt.eu/download/1.3/doc/configuration.txt)?
-Tim
On Wed, Feb 10, 2010 at 10:05 AM, Ian Connor ian.con...@gmail.com wrote:
Thanks,
I bypassed haproxy
Not yet - but thanks for the link.
I think that the OS also has a timeout that keeps it around even after this
event and with heavy traffic I have seen this build up. Having said all
this, the performance impact after testing was negligible for us but I
thought I would post that haproxy can cause
Thanks,
I bypassed haproxy as a test and it did reduce the number of connections -
but it did not seem as those these connections were hurting anything.
Ian.
On Tue, Feb 9, 2010 at 11:01 PM, Lance Norskog goks...@gmail.com wrote:
This goes through the Apache Commons HTTP client library:
This goes through the Apache Commons HTTP client library:
http://hc.apache.org/httpclient-3.x/
We used 'balance' at another project and did not have any problems.
On Tue, Feb 9, 2010 at 5:54 AM, Ian Connor ian.con...@gmail.com wrote:
I have been using distributed search with haproxy but noticed
My only suggestion is to put haproxy in front of two replicas and then have
haproxy do the failover. If a shard fails, the whole search will fail unless
you do something like this.
On Fri, Jan 29, 2010 at 3:31 PM, Joe Calderon calderon@gmail.comwrote:
hello *, in distributed search when a
On Fri, Jan 29, 2010 at 3:31 PM, Joe Calderon calderon@gmail.com wrote:
hello *, in distributed search when a shard goes down, an error is
returned and the search fails, is there a way to avoid the error and
return the results from the shards that are still up?
The SolrCloud branch has
thx guys, i ended up using a mix of code from the solr-1143 and
solr-1537 patches, now whenever there is an exception theres is a
section in the results indicating the result is partial and also lists
the failed core(s), weve added some monitoring to check for that
output as well to alert us when
On Thu, Aug 27, 2009 at 9:57 PM, GiriGG giri...@gmail.com wrote:
Hi All,
I need to build a Search system using Solr. I need to keep data of 30 days
which will be around 400GB.
I will be using Distributed Search with Master/Slaves (Data will be
published to each shard on round robin basis).
Thanks for the bug report... this looks like an escaping bug.
But, it looks like it stems from a really weird field name?
facet.field=authorname:
Shouldn't that be
facet.field=authorname
-Yonik
http://www.lucidimagination.com
On Thu, Jul 16, 2009 at 8:14 PM, zehuabradjo...@yahoo.com wrote:
On Jul 9, 2009, at 11:58 PM, Sumit Aggarwal wrote:
Hi,
1. Calls made to multiple shards are made in some concurrent fashion
or
serially?
Concurrent
2. Any idea of algorithm followed for merging data? I mean how
efficient it
is?
Not sure, but given that Yonik implemented it, I
distributed search?
-Original Message-
From: Otis Gospodnetic [mailto:otis_gospodne...@yahoo.com]
Sent: Tuesday, February 17, 2009 9:08 AM
To: solr-user@lucene.apache.org
Subject: Re: Distributed search
Hi,
That should work, yes, though it may not be a wise thing to do
performance
On Mon, Mar 9, 2009 at 2:32 PM, Gargate, Siddharth sgarg...@ptc.com wrote:
Hi,
I am trying distributed search and multicore but not able to fire a
query. I tried
http://localhost:8080/solr/select/?shards=localhost:8080/solr/core0,localhost:8080/solr/core1q=solr
I am getting following
On Fri, Mar 6, 2009 at 11:04 AM, Sagar Khetkade
sagar.khetk...@hotmail.comwrote:
I have multi-core scenario where the schemas are different and I have to
search for these cores as per the use case. I am using distributed search
approach here for getting the search results for the query from
: Ok, so it wouldn't be possible to have a smaller, faster authoritative
: shard for near-real-time updates while keeping the entire dataset in a
: second shard which is updates less frequently?
I believe Otis's point is that many people use distributed search across
shards where some
Koji Sekiguchi wrote:
gwk wrote:
Hello,
The wiki states 'When duplicate doc IDs are received, Solr chooses
the first doc and discards subsequent ones', I was wondering whether
the first doc is the doc of the shard which responds first or the
doc in the first shard in the shards GET
Yes, that's the standard trick. :)
Otis
--
Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch
- Original Message
From: gwk g...@eyefi.nl
To: solr-user@lucene.apache.org
Sent: Wednesday, February 25, 2009 5:18:47 AM
Subject: Re: Distributed Search
Koji Sekiguchi wrote
Otis Gospodnetic wrote:
Yes, that's the standard trick. :)
Otis
--
Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch
- Original Message
From: gwk g...@eyefi.nl
To: solr-user@lucene.apache.org
Sent: Wednesday, February 25, 2009 5:18:47 AM
Subject: Re: Distributed Search
I don't think your supposed to have duplicate keys? I think its supposed
to work more as a graceful failure than a feature you should count on.
Id's should be unique across the collection.
Ok, now I'm confused, if the shard the document comes from is
non-deterministic, how can you use this
You are not supposed to have duplicates is a bit strong - I was over
reading into something Yonik had mentioned in the past. It looks like
its supposed to become more useful:
I think Yonik might have to clear this up, but it looks like the current
implementation is not deterministic, and he
On Wed, Feb 25, 2009 at 11:52 AM, Mark Miller markrmil...@gmail.com wrote:
You are not supposed to have duplicates is a bit strong - I was over reading
into something Yonik had mentioned in the past. It looks like its supposed
to become more useful:
Well, perhaps slightly more deterministic so
Fair enough. We should update the Wiki then? I think it currently does
read as if its a supported feature rather than something you should avoid.
--
- Mark
http://www.lucidimagination.com
Yonik Seeley wrote:
On Wed, Feb 25, 2009 at 11:52 AM, Mark Miller markrmil...@gmail.com wrote:
You
: Yes, that's the standard trick. :)
: Ok, so it wouldn't be possible to have a smaller, faster authoritative
: shard for near-real-time updates while keeping the entire dataset in a
: second shard which is updates less frequently?
: Ok, now I'm confused, if the shard the document comes
gwk wrote:
Hello,
The wiki states 'When duplicate doc IDs are received, Solr chooses the
first doc and discards subsequent ones', I was wondering whether the
first doc is the doc of the shard which responds first or the doc in
the first shard in the shards GET parameter?
Regards,
gwk
: for exampe if we have 3 cores -core0 ,core1 and core2 for 3 different
: languages and to search across all the 3 indexes
: use the shard parameter as
:
shard=localhost:8080/solr/core0,localhost:8080/solr/core1,localhost:8080/solr/core2
Distributed search requires that all of the shards have
Hi,
That should work, yes, though it may not be a wise thing to do
performance-wise, if the number of CPU cores that solr server has is lower than
the number of Solr cores.
Otis --
Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch
From: revathy
On Thu, Feb 5, 2009 at 2:02 PM, oleg_gnatovskiy
oleg_gnatovs...@citysearch.com wrote:
Hello all. I am using distributed search over three servers, and found that a
shard query to one of the boxes sometimes results in two hits to each of the
other boxes. What is the purpose for having 2 hits? Do
On Mon, Feb 2, 2009 at 1:53 AM, Marc Sturlese marc.sturl...@gmail.comwrote:
Hey there,
I have asked before about this two questions but got no response... I am
really interested in moving to distributed search so... hopefuly someone
can
give me a hand.
1.-In distributed search, Solr do a
Thanks Otis for clarification.
Sourav
-Original Message-
From: Otis Gospodnetic [mailto:[EMAIL PROTECTED]
Sent: Thursday, November 06, 2008 8:18 PM
To: solr-user@lucene.apache.org
Subject: Re: Distributed Search ...
Sourav,
Whichever Solr instance you send the request to will dispatch
Sourav,
Whichever Solr instance you send the request to will dispatch requests to other
Solr instances you specified and will merge the results.
Otis
--
Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch
- Original Message
From: souravm [EMAIL PROTECTED]
To:
: I'm doing some expirements with the morelikethis functionality using the
: standard request handler to see if it also works with distributed search (I
: saw that it will not yet work with the MoreLikeThis handler,
: https://issues.apache.org/jira/browse/SOLR-788). As far as I can see, this
:
Thanks Jaco, I confirmed this problem (not sure why it's still a
problem - I thought for sure I had fixed this in the past).
-Yonik
On Fri, Sep 5, 2008 at 10:50 AM, Jaco [EMAIL PROTECTED] wrote:
Hello,
I'm testing the distributed search using the shards= parameter, looking into
the facet
2008/8/31 Grégoire Neuville [EMAIL PROTECTED]
Hi all,
I've recently been working with the distributed search capabilities of solr
to build a web portal ; all is working fine, but it is now time for me to
describe my work on a theoretical point of view.
I've been trying to approximately
I thank you for the answer.
The http://wiki.apache.org/solr/DistributedSearchDesign page was last edited
by Yonik Seeley on the 2008-02-27, which seems a date of major commit
(according to JIRA), and he did not amend the current approach part of the
page : so the Multi-phased approach, allowing
On Wed, Sep 3, 2008 at 7:35 PM, Grégoire Neuville
[EMAIL PROTECTED] wrote:
The http://wiki.apache.org/solr/DistributedSearchDesign page was last
edited
by Yonik Seeley on the 2008-02-27, which seems a date of major commit
(according to JIRA), and he did not amend the current approach part of
: This is typically the kind of description I need, but I wonder if the
: one cited above is still valid (since it was apparently written quite a
: time before final commit).
: Assuming it is, what's then the difference between the STEPS mentioned
and the STAGES later introduced (STAGE_START,
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