Re: Understanding the MoreLikeThis Handler
Also, in the documentation it says: /MoreLikeThis constructs a lucene query based on terms within a document. For best results, use stored TermVectors in the schema.xml for fields you will use for similarity. If termVectors are not stored, MoreLikeThis will generate terms from stored fields. / Does this mean that if a field is not declared as a termVector, it wont be recognized by the MLT handler? What specifically does 'stored fields' mean when you say MoreLikeThis defaults to it if termVectors are not defined? -- View this message in context: http://lucene.472066.n3.nabble.com/Understanding-the-MoreLikeThis-Handler-tp4213279p4213281.html Sent from the Solr - User mailing list archive at Nabble.com.
Re: Understanding the MoreLikeThis Handler
The syntax seems find to me.
One of the requirement for the MLT is to have the field(s) to use for the
processing to be stored ( if termVector is enabled better) .
Apparently from your snippets this is not your problem. Can you confirm you
have the field you are interested stored ( it seems so from your snippet) .
Another thing that comes to my mind is the minimum term frequency and
inverse document frequencies :
mlt.mintf
mlt.mindf
mlt.mintf
Minimum Term Frequency - the frequency below which terms will be ignored in
the source doc.
DEFAULT_MIN_TERM_FREQ = 2
mlt.mindf
Minimum Document Frequency - the frequency at which words will be ignored
which do not occur in at least this many docs.
DEFAULT_MIN_DOC_FREQ = 5
Pretty sure we found the killer .
The default is preventing you to find the proper matches as your field is
not containing more than one occurrence for the relevant term.
The default will ignore the terms appearing less than 2 times in the field
and less then 5 docs in the corpus.
This is my example MLT and I am using it with a sample of your data and it
is working :
*Config : *
requestHandler name=/mlt class=solr.MoreLikeThisHandler
lst name=defaults
str name=mlt.boosttrue/str
str name=mlt.qf
title^2.0 description^1.5 content^0.5
/str
str name=mlt.fltitle,description,content/str
int name=mlt.mintf1/int
int name=mlt.mindf1/int
/lst
/requestHandler
*Query :*
mlt?q=id:86C544948369405D822FA6FBE5EBD49Ewt=jsonindent=truemlt.match.include=true
*Result :*
{
responseHeader:{
status:0,
QTime:1},
match:{numFound:1,start:0,docs:[
{
id:86C544948369405D822FA6FBE5EBD49E,
title:flirt}]
},
response:{numFound:3,start:0,docs:[
{
id:86C544948364505D822FA6FBE5EBD49E,
title:flirt},
{
id:86C532948364505D822FA6FBE5EBD49E,
title:flirt},
{
id:864R2948364505D822FA6FBE5EBD49E,
title:flirt}]
}}
Cheers
2015-06-22 16:24 GMT+01:00 Sreekant Sreedharan sreeka...@alamy.com:
Also, in the documentation it says:
/MoreLikeThis constructs a lucene query based on terms within a document.
For best results, use stored TermVectors in the schema.xml for fields you
will use for similarity.
If termVectors are not stored, MoreLikeThis will generate terms from stored
fields.
/
Does this mean that if a field is not declared as a termVector, it wont be
recognized by the MLT handler? What specifically does 'stored fields' mean
when you say MoreLikeThis defaults to it if termVectors are not defined?
--
View this message in context:
http://lucene.472066.n3.nabble.com/Understanding-the-MoreLikeThis-Handler-tp4213279p4213281.html
Sent from the Solr - User mailing list archive at Nabble.com.
--
--
Benedetti Alessandro
Visiting card : http://about.me/alessandro_benedetti
Tyger, tyger burning bright
In the forests of the night,
What immortal hand or eye
Could frame thy fearful symmetry?
William Blake - Songs of Experience -1794 England
Re: Nested objects and map in Solr
Thank you for your reply.
Some of my objects are not fully indexed. I have 121 objects with sub-objects
and when querying with “*:*” only 81 are found. The objects are in Json format.
I use Solr from within Riak.
On 22 Jun 2015, at 17:31, Alessandro Benedetti
benedetti.ale...@gmail.commailto:benedetti.ale...@gmail.com wrote:
Join is not only query time related.
Join is the Solr approach to nested documents.
Block join and Query time join are 2 different strategies with different
pros and cons .
Basically :
Block Join :
- force you to follow a specific indexing strategy
- if you want to update a child you need to update the whole block ( parent
+children)
+ 4-5 times faster then query time join
Query Time Join
+ you can index the data how you want, even in different cores
+ you can update single children
- it is slow
What do you mean with strange indexes ?
Cheers
2015-06-22 11:28 GMT+01:00 Amadeo Asco
a...@trifork.commailto:a...@trifork.com:
I have looked at the join but the problem isn’t with the query but on
indexing sub-objects (in some places called also nested objects). The best
documentation I have seen is http://yonik.com/solr-4-8-features/
but I am still getting very estrange indexes when I play with this
approach and others.
Cheers
On 22 Jun 2015, at 11:23, Alessandro Benedetti
benedetti.ale...@gmail.commailto:benedetti.ale...@gmail.com
mailto:benedetti.ale...@gmail.com wrote:
I would suggest you to take a look to the Solr Join ( block and query time
join) .
This is what you are looking for.
Anyway, this request points out that the documentation is not good enough
to address people to Nested Objects problems.
Maybe this should highlight the need of improving that part of the
documentation.
Cheers
2015-06-22 9:57 GMT+01:00 Amadeo Asco
a...@trifork.commailto:a...@trifork.commailto:
a...@trifork.commailto:a...@trifork.com:
Dear all,
I am starting with Solr and I cannot index map(key,values) or nested
objects in Solr. I have not been able to find a satisfactory answer online.
Please could anyone let me know where to find the full documentation of how
to index nested objects in Solr? Also how to index and reference in the
search melees in a map?
Example Json:
{name_s:Lion-o, age_i:30, leader_b:true, data:{name:me,
surname:other}, values_ss:[red, blue”]}
{name_s:Cheetara, age_i:28, leader_b:false, content_type:
parentDocument,
_childDocuments_:[{name:1},{name:2},{name:3}]}
What about with:
{name_s:Lion-o, age_i:30, leader_b:true, data:{name”:[“me”],
surname”:[“other”, “next]}, values_ss:[red, blue”]}
I look forward to hearing form you soon.
Thank you in advance,
Amadeo
--
--
Benedetti Alessandro
Visiting card : http://about.me/alessandro_benedetti
Tyger, tyger burning bright
In the forests of the night,
What immortal hand or eye
Could frame thy fearful symmetry?
William Blake - Songs of Experience -1794 England
--
--
Benedetti Alessandro
Visiting card : http://about.me/alessandro_benedetti
Tyger, tyger burning bright
In the forests of the night,
What immortal hand or eye
Could frame thy fearful symmetry?
William Blake - Songs of Experience -1794 England
Re: Auto-suggest in Solr
Can any of our beloved super guru take a look to my mail ?
It could help Edwin as well :)
Cheers
2015-06-19 11:53 GMT+01:00 Alessandro Benedetti benedetti.ale...@gmail.com
:
Actually the documentation is not clear enough.
Let's try to understand this suggester.
*Building*
This suggester build a FST that it will use to provide the autocomplete
feature running prefix searches on it .
The terms it uses to generate the FST are the tokens produced by the
suggestFreeTextAnalyzerFieldType .
And this should be correct.
So if we have a shingle token filter[1-3] ( we produce unigrams as well)
in our analysis to keep it simple , from these original field values :
mp3 ipod
mp3 player
mp3 player ipod
player of Real
- we produce these list of possible suggestions in our FST :
mp3
player
ipod
real
of
mp3 ipod
mp3 player
player ipod
player of
of real
mp3 player ipod
player of real
From the documentation I read :
ngrams: The max number of tokens out of which singles will be make the
dictionary. The default value is 2. Increasing this would mean you want
more than the previous 2 tokens to be taken into consideration when making
the suggestions.
This makes me confused, as I was not expecting this param to affect the
suggestion dictionary.
So I would like a clarification here from our masters :)
At this point let's see what happens at query time .
*Query Time *
As my understanding the ngrams params will consider the last N-1 tokens
the user put separated by the space separator.
Builds an ngram model from the text sent to {@link
* #build} and predicts based on the last grams-1 tokens in
* the request sent to {@link #lookup}. This tries to
* handle the long tail of suggestions for when the
* incoming query is a never before seen query string.
Example , grams=3 should consider only the last 2 tokens
special mp3 p - mp3 p
Then this query is analysed using the suggestFreeTextAnalyzerFieldType .
We produce 3 tokens :
mp3
p
mp3 p
And we run the prefix matching on the FST .
*Conclusion*
My understanding is wrong for sure at some point, as the behaviour I get
is different.
Can we discuss this , clarify this and eventually put it in the official
documentation ?
Cheers
2015-06-19 6:40 GMT+01:00 Zheng Lin Edwin Yeo edwinye...@gmail.com:
I'm implementing an auto-suggest feature in Solr, and I'll like to achieve
the follwing:
For example, if the user enters mp3, Solr might suggest mp3 player,
mp3 nano and mp3 music.
When the user enters mp3 p, the suggestion should narrow down to mp3
player.
Currently, when I type mp3 p, the suggester is returning words that
starts with the letter p only, and I'm getting results like plan,
production, etc, and it does not take the mp3 token into
consideration.
I'm using Solr 5.1 and below is my configuration:
In solrconfig.xml:
searchComponent name=suggest class=solr.SuggestComponent
lst name=suggester
str name=lookupImplFreeTextLookupFactory/str
str name=indexPathsuggester_freetext_dir/str
str name=dictionaryImplDocumentDictionaryFactory/str
str name=fieldSuggestion/str
str name=weightFieldProject/str
str name=suggestFreeTextAnalyzerFieldTypesuggestType/str
int name=ngrams5/int
str name=buildOnStartupfalse/str
str name=buildOnCommitfalse/str
/lst
/searchComponent
In schema.xml
fieldType name=suggestType class=solr.TextField
positionIncrementGap=100
analyzer type=index
charFilter class=solr.PatternReplaceCharFilterFactory
pattern=[^a-zA-Z0-9] replacement= /
tokenizer class=solr.WhitespaceTokenizerFactory/
filter class=solr.ShingleFilterFactory minShingleSize=2
maxShingleSize=6 outputUnigrams=false/
/analyzer
analyzer type=query
charFilter class=solr.PatternReplaceCharFilterFactory
pattern=[^a-zA-Z0-9] replacement= /
tokenizer class=solr.WhitespaceTokenizerFactory/
filter class=solr.ShingleFilterFactory minShingleSize=2
maxShingleSize=6 outputUnigrams=true/
/analyzer
/fieldType
Is there anything that I configured wrongly?
Regards,
Edwin
--
--
Benedetti Alessandro
Visiting card : http://about.me/alessandro_benedetti
Tyger, tyger burning bright
In the forests of the night,
What immortal hand or eye
Could frame thy fearful symmetry?
William Blake - Songs of Experience -1794 England
--
--
Benedetti Alessandro
Visiting card : http://about.me/alessandro_benedetti
Tyger, tyger burning bright
In the forests of the night,
What immortal hand or eye
Could frame thy fearful symmetry?
William Blake - Songs of Experience -1794 England
Re: Nested objects and map in Solr
Join is not only query time related.
Join is the Solr approach to nested documents.
Block join and Query time join are 2 different strategies with different
pros and cons .
Basically :
Block Join :
- force you to follow a specific indexing strategy
- if you want to update a child you need to update the whole block ( parent
+children)
+ 4-5 times faster then query time join
Query Time Join
+ you can index the data how you want, even in different cores
+ you can update single children
- it is slow
What do you mean with strange indexes ?
Cheers
2015-06-22 11:28 GMT+01:00 Amadeo Asco a...@trifork.com:
I have looked at the join but the problem isn’t with the query but on
indexing sub-objects (in some places called also nested objects). The best
documentation I have seen is http://yonik.com/solr-4-8-features/
but I am still getting very estrange indexes when I play with this
approach and others.
Cheers
On 22 Jun 2015, at 11:23, Alessandro Benedetti benedetti.ale...@gmail.com
mailto:benedetti.ale...@gmail.com wrote:
I would suggest you to take a look to the Solr Join ( block and query time
join) .
This is what you are looking for.
Anyway, this request points out that the documentation is not good enough
to address people to Nested Objects problems.
Maybe this should highlight the need of improving that part of the
documentation.
Cheers
2015-06-22 9:57 GMT+01:00 Amadeo Asco a...@trifork.commailto:
a...@trifork.com:
Dear all,
I am starting with Solr and I cannot index map(key,values) or nested
objects in Solr. I have not been able to find a satisfactory answer online.
Please could anyone let me know where to find the full documentation of how
to index nested objects in Solr? Also how to index and reference in the
search melees in a map?
Example Json:
{name_s:Lion-o, age_i:30, leader_b:true, data:{name:me,
surname:other}, values_ss:[red, blue”]}
{name_s:Cheetara, age_i:28, leader_b:false, content_type:
parentDocument,
_childDocuments_:[{name:1},{name:2},{name:3}]}
What about with:
{name_s:Lion-o, age_i:30, leader_b:true, data:{name”:[“me”],
surname”:[“other”, “next]}, values_ss:[red, blue”]}
I look forward to hearing form you soon.
Thank you in advance,
Amadeo
--
--
Benedetti Alessandro
Visiting card : http://about.me/alessandro_benedetti
Tyger, tyger burning bright
In the forests of the night,
What immortal hand or eye
Could frame thy fearful symmetry?
William Blake - Songs of Experience -1794 England
--
--
Benedetti Alessandro
Visiting card : http://about.me/alessandro_benedetti
Tyger, tyger burning bright
In the forests of the night,
What immortal hand or eye
Could frame thy fearful symmetry?
William Blake - Songs of Experience -1794 England
Understanding the MoreLikeThis Handler
I am trying to implement a search for documents with similar texts like a sample document. I assumed that the SOLR MoreLikeThis handler would suit me well. I have been able to setup the handler and it seems to work. I have a core called images2. And I have the following entry in my solrconfig.xml for this particular core. requestHandler name=/mlt class=solr.MoreLikeThisHandler /requestHandler This setup allows me to make the following query. /solr/images2/mlt?q=id:86C544948369405D822FA6FBE5EBD49Emlt.fl=contributormlt.match.include=true I am trying to tell SOLR to seach for all documents that are similar to the document with id=86C544948369405D822FA6FBE5EBD49E, and I want to match similars on the field contributor. This is the result I get. response lst name=responseHeader int name=status0/intint name=QTime0/int /lst result name=match numFound=1 start=0 doc str name=id86C544948369405D822FA6FBE5EBD49E/str str name=arEEJ6PJ/strstr name=captionCommuters in Subway Car/str str name=contributorid3FED3D3D18F84362A53C91700E1807BF/str str name=contributorFlirt/str /doc /result result name=response numFound=0 start=0/ /response So here are my questions: 1. Is my query right for what I want to do? Namely: seach for all documents that are similar to the document with id=86C544948369405D822FA6FBE5EBD49E, and match similars on the field contributor. If now, how do I encode it? 2. I know that there are several documents with the exact term 'Flirt' in the contributor field. But I seem to be always getting only one result. I tested the following SOLR query: http://localhost:8983/solr/images2/select?q=*:*wt=xmlfq=contributor:Flirt And this returns 1138 results. So why is the MLT not returning atleast these results, which are identical matches? -- View this message in context: http://lucene.472066.n3.nabble.com/Understanding-the-MoreLikeThis-Handler-tp4213279.html Sent from the Solr - User mailing list archive at Nabble.com.
Re: Replication as backup in SolrCloud
Currently, one is best off treating these as two separate clusters and having your client send the data to both, or reproducing your system-of-record and running your DCs completely separately. Hopefully soon, though, there'll be what you're asking for active/passive DCs, see: https://issues.apache.org/jira/browse/SOLR-6273 Best, Erick On Mon, Jun 22, 2015 at 10:16 AM, StrW_dev r.j.bamb...@structweb.nl wrote: Hi, I have a SolrCloud cluster in one data center, but as backup I want to have a second (replicated) cluster in another data center. What I want is to replicate to this second cluster, but I don't want my queries to go to this cluster. Is this possible within SolrCloud? As now it seems to replicate, but also distribute the query request to this replicated server. Gr -- View this message in context: http://lucene.472066.n3.nabble.com/Replication-as-backup-in-SolrCloud-tp4213267.html Sent from the Solr - User mailing list archive at Nabble.com.
RE: Connecting to a Solr server remotely
Check the firewall settings on the Linux machine. By default, mine block port 8983, so the request never even gets to Jetty/Solr. -Original Message- From: Paden [mailto:rumsey...@gmail.com] Sent: Monday, June 22, 2015 2:48 PM To: solr-user@lucene.apache.org Subject: Connecting to a Solr server remotely Hello, I've set up a Solr server on my Linux Virtual Machine. Now I'm trying to access it remotely on my Windows Machine using an http request from a browser. Any time I try to access it with a request such as http//localhost:8983/solr I always get a connection error (with the server running on the linux virtual machine, it's not a because I forgot to turn the service on) I know that my server is probably set to take requests specifically from my virtual machine so I need to change that. From the several hours of research I've done on the web it seems like I need to change jetty.xml in the /etc/jetty directory. But others suggest I need to make a change to solr.config itself. There's a lot of conflicting info and it's pretty much got me randomly changing things in jetty.xml and solr.config and nothing's worked as of yet. If anybody has any idea how to get this to work I would greatly appreciate it. -- View this message in context: http://lucene.472066.n3.nabble.com/Connecting-to-a-Solr-server-remotely-tp4213335.html Sent from the Solr - User mailing list archive at Nabble.com.
Re: Connecting to a Solr server remotely
On 6/22/2015 1:48 PM, Paden wrote: I've set up a Solr server on my Linux Virtual Machine. Now I'm trying to access it remotely on my Windows Machine using an http request from a browser. Any time I try to access it with a request such as http//localhost:8983/solr I always get a connection error (with the server If you're trying to access it remotely, you can't use localhost. That will access the local Windows machine, not the remote Linux machine. Use the IP address or DNS hostname of the actual machine that's running Solr. Make sure that the Linux machine either has the firewall turned off or has an access rule configured in the firewall to allow the Solr port through. Thanks, Shawn
Re: Connecting to a Solr server remotely
That did it Shawn. Thanks for the help! -- View this message in context: http://lucene.472066.n3.nabble.com/Connecting-to-a-Solr-server-remotely-tp4213335p4213343.html Sent from the Solr - User mailing list archive at Nabble.com.
Solr standalone + SSL and basic auth
Hi, I managed wiring up jetty and Solr war programmatically. After seeing SOLR-4470 (issues with inter cluster/node client calls), we now set: HttpClientUtil.setConfigurer(new MyCustomHttpClientConfigurer()); to setup clients before doing any inter node calls. also combined with: jettywebapp.setParentLoaderPriority(true) which means that application and war uses same classpath. all good so far, uploading configuration and creating collections works. But, when quering the collection, responses numFound vary for each response. guessing that something is preventing solr from collecting proper answer from collection (all shards). We see these warnings in Solr logs: INFO qtp678433396-57 update.PeerSync [Solr_335] [] PeerSync: core=test_o_txs_shard1_replica2 url=https://host1:9232/solr START replicas=[ https://host3:9232/solr/test_o_txs_shard1_replica3/] nUpdates=100 INFO qtp678433396-57 update.PeerSync [Solr_335] [] PeerSync: core=test_o_txs_shard1_replica2 url=https://host1:9232/solr DONE. We have no versions. sync failed. INFO RecoveryThread-test_o_txs_shard4_replica3 cloud.RecoveryStrategy [Solr_335] [] Attempting to PeerSync from https://host2:9232/solr/test_o_txs_shard4_replica1/ core=test_o_txs_shard4_replica3 - recoveringAfterStartup=true INFO RecoveryThread-test_o_txs_shard4_replica3 update.PeerSync [Solr_335] [] PeerSync: core=test_o_txs_shard4_replica3 url=https://host1:9232/solr START replicas=[https://host2:9232/solr/test_o_txs_shard4_replica1/] nUpdates=100 WARN RecoveryThread-test_o_txs_shard4_replica3 update.PeerSync [Solr_335] [] no frame of reference to tell if we've missed updates INFO RecoveryThread-test_o_txs_shard4_replica3 cloud.RecoveryStrategy [Solr_335] [] PeerSync Recovery was not successful - trying replication. core=test_o_txs_shard4_replica3 INFO RecoveryThread-test_o_txs_shard3_replica1 cloud.RecoveryStrategy [Solr_335] [] Attempting to PeerSync from https://host3:9232/solr/test_o_txs_shard3_replica2/ core=test_o_txs_shard3_replica1 - recoveringAfterStartup=true INFO RecoveryThread-test_o_txs_shard3_replica1 update.PeerSync [Solr_335] [] PeerSync: core=test_o_txs_shard3_replica1 url=https://host1:9232/solr START replicas=[https://host3:9232/solr/test_o_txs_shard3_replica2/] nUpdates=100 WARN RecoveryThread-test_o_txs_shard3_replica1 update.PeerSync [Solr_335] [] no frame of reference to tell if we've missed updates INFO RecoveryThread-test_o_txs_shard3_replica1 cloud.RecoveryStrategy [Solr_335] [] PeerSync Recovery was not successful - trying replication. core=test_o_txs_shard3_replica1 any hints? Regards /Fadi
Re: Nested objects and map in Solr
I have looked at the join but the problem isn’t with the query but on indexing
sub-objects (in some places called also nested objects). The best documentation
I have seen is http://yonik.com/solr-4-8-features/
but I am still getting very estrange indexes when I play with this approach and
others.
Cheers
On 22 Jun 2015, at 11:23, Alessandro Benedetti
benedetti.ale...@gmail.commailto:benedetti.ale...@gmail.com wrote:
I would suggest you to take a look to the Solr Join ( block and query time
join) .
This is what you are looking for.
Anyway, this request points out that the documentation is not good enough
to address people to Nested Objects problems.
Maybe this should highlight the need of improving that part of the
documentation.
Cheers
2015-06-22 9:57 GMT+01:00 Amadeo Asco
a...@trifork.commailto:a...@trifork.com:
Dear all,
I am starting with Solr and I cannot index map(key,values) or nested
objects in Solr. I have not been able to find a satisfactory answer online.
Please could anyone let me know where to find the full documentation of how
to index nested objects in Solr? Also how to index and reference in the
search melees in a map?
Example Json:
{name_s:Lion-o, age_i:30, leader_b:true, data:{name:me,
surname:other}, values_ss:[red, blue”]}
{name_s:Cheetara, age_i:28, leader_b:false, content_type:
parentDocument,
_childDocuments_:[{name:1},{name:2},{name:3}]}
What about with:
{name_s:Lion-o, age_i:30, leader_b:true, data:{name”:[“me”],
surname”:[“other”, “next]}, values_ss:[red, blue”]}
I look forward to hearing form you soon.
Thank you in advance,
Amadeo
--
--
Benedetti Alessandro
Visiting card : http://about.me/alessandro_benedetti
Tyger, tyger burning bright
In the forests of the night,
What immortal hand or eye
Could frame thy fearful symmetry?
William Blake - Songs of Experience -1794 England
Re: Sorting documents by nested / child docs with FunctionQueries
I've tried your solution and encountered a problem. My child document has a multi-valued field. When I query the doc by its' guid, all of the field's values are returned. When I use the join block query only one value is returned for the multi-value field. Do you have any suggestions? Thank you, Maya -- View this message in context: http://lucene.472066.n3.nabble.com/Sorting-documents-by-nested-child-docs-with-FunctionQueries-tp4209940p4213242.html Sent from the Solr - User mailing list archive at Nabble.com.
Re: Nested objects and map in Solr
I would suggest you to take a look to the Solr Join ( block and query time
join) .
This is what you are looking for.
Anyway, this request points out that the documentation is not good enough
to address people to Nested Objects problems.
Maybe this should highlight the need of improving that part of the
documentation.
Cheers
2015-06-22 9:57 GMT+01:00 Amadeo Asco a...@trifork.com:
Dear all,
I am starting with Solr and I cannot index map(key,values) or nested
objects in Solr. I have not been able to find a satisfactory answer online.
Please could anyone let me know where to find the full documentation of how
to index nested objects in Solr? Also how to index and reference in the
search melees in a map?
Example Json:
{name_s:Lion-o, age_i:30, leader_b:true, data:{name:me,
surname:other}, values_ss:[red, blue”]}
{name_s:Cheetara, age_i:28, leader_b:false, content_type:
parentDocument,
_childDocuments_:[{name:1},{name:2},{name:3}]}
What about with:
{name_s:Lion-o, age_i:30, leader_b:true, data:{name”:[“me”],
surname”:[“other”, “next]}, values_ss:[red, blue”]}
I look forward to hearing form you soon.
Thank you in advance,
Amadeo
--
--
Benedetti Alessandro
Visiting card : http://about.me/alessandro_benedetti
Tyger, tyger burning bright
In the forests of the night,
What immortal hand or eye
Could frame thy fearful symmetry?
William Blake - Songs of Experience -1794 England
Nested objects in Solr
Dear Sir/Madam, I am starting with Solr and I cannot index nested objects in Solr. I have not been able to find a satisfactory answer online. Please could you let me know where a full documentation of how to index nested objects in Solr can be found? Do I need to change the schema? How? I look forward to hearing form you soon. Thank you in advance, Amadeo
Loading custom codec and SPI problem
Hi - i've created a small Maven project with just a custom Lucene 4.3 codec. It is a basic MyCodec extends FilterCodec implementation, disabling compression. I have added the FQCN to the src/main/resources/META-INF/services/org.apache.lucene.codecs.Codec. I have checked the jar itself to see if the file is actually there, it is. However, i cannot load the codec, although the jar is actually loaded. When configuring it in solrconfig.xml as CodecFactory, i get org.apache.solr.common.SolrException: class org.example.MyCodec at org.apache.solr.core.SolrCore.init(SolrCore.java:822) at org.apache.solr.core.SolrCore.init(SolrCore.java:618) at org.apache.solr.core.CoreContainer.createFromLocal(CoreContainer.java:949) at org.apache.solr.core.CoreContainer.create(CoreContainer.java:984) at org.apache.solr.core.CoreContainer$2.call(CoreContainer.java:597) at org.apache.solr.core.CoreContainer$2.call(CoreContainer.java:592) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Caused by: java.lang.ClassCastException: class org.example.MyCodec at java.lang.Class.asSubclass(Class.java:3397) at org.apache.solr.core.SolrResourceLoader.findClass(SolrResourceLoader.java:448) at org.apache.solr.core.SolrResourceLoader.newInstance(SolrResourceLoader.java:486) at org.apache.solr.core.SolrResourceLoader.newInstance(SolrResourceLoader.java:482) at org.apache.solr.core.SolrCore.initCodec(SolrCore.java:847) at org.apache.solr.core.SolrCore.init(SolrCore.java:734) ... 11 more 3144 [coreLoadExecutor-3-thread-1] ERROR org.apache.solr.core.CoreContainer – null:org.apache.solr.common.SolrException: Unable to create core: collection1 at org.apache.solr.core.CoreContainer.recordAndThrow(CoreContainer.java:1450) at org.apache.solr.core.CoreContainer.create(CoreContainer.java:993) at org.apache.solr.core.CoreContainer$2.call(CoreContainer.java:597) at org.apache.solr.core.CoreContainer$2.call(CoreContainer.java:592) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) at java.lang.Thread.run(Thread.java:745) Caused by: org.apache.solr.common.SolrException: class org.example.MyCodec at org.apache.solr.core.SolrCore.init(SolrCore.java:822) at org.apache.solr.core.SolrCore.init(SolrCore.java:618) at org.apache.solr.core.CoreContainer.createFromLocal(CoreContainer.java:949) at org.apache.solr.core.CoreContainer.create(CoreContainer.java:984) ... 8 more Caused by: java.lang.ClassCastException: class org.example.MyCodec at java.lang.Class.asSubclass(Class.java:3397) at org.apache.solr.core.SolrResourceLoader.findClass(SolrResourceLoader.java:448) at org.apache.solr.core.SolrResourceLoader.newInstance(SolrResourceLoader.java:486) at org.apache.solr.core.SolrResourceLoader.newInstance(SolrResourceLoader.java:482) at org.apache.solr.core.SolrCore.initCodec(SolrCore.java:847) at org.apache.solr.core.SolrCore.init(SolrCore.java:734) ... 11 more I also cannot load the codec as postingsFormat=MyCodec on a field type definition. Then i get a Caused by: java.lang.IllegalArgumentException: A SPI class of type org.apache.lucene.codecs.PostingsFormat with name 'MyCodec' does not exist. You need to add the corresponding JAR file supporting this SPI to your classpath.The current classpath supports the following names: [Lucene40, Lucene41, Pulsing41, SimpleText, Memory, BloomFilter, Direct] at org.apache.lucene.util.NamedSPILoader.lookup(NamedSPILoader.java:111) at org.apache.lucene.codecs.PostingsFormat.forName(PostingsFormat.java:100) at org.apache.solr.core.SchemaCodecFactory$1.getPostingsFormatForField(SchemaCodecFactory.java:55) at org.apache.lucene.codecs.lucene42.Lucene42Codec$1.getPostingsFormatForField(Lucene42Codec.java:59) at org.apache.lucene.codecs.perfield.PerFieldPostingsFormat$FieldsWriter.addField(PerFieldPostingsFormat.java:102) at org.apache.lucene.index.FreqProxTermsWriterPerField.flush(FreqProxTermsWriterPerField.java:336) at
Nested objects and map in Solr
Dear all,
I am starting with Solr and I cannot index map(key,values) or nested objects in
Solr. I have not been able to find a satisfactory answer online. Please could
anyone let me know where to find the full documentation of how to index nested
objects in Solr? Also how to index and reference in the search melees in a map?
Example Json:
{name_s:Lion-o, age_i:30, leader_b:true, data:{name:me,
surname:other}, values_ss:[red, blue”]}
{name_s:Cheetara, age_i:28, leader_b:false, content_type:
parentDocument, _childDocuments_:[{name:1},{name:2},{name:3}]}
What about with:
{name_s:Lion-o, age_i:30, leader_b:true, data:{name”:[“me”],
surname”:[“other”, “next]}, values_ss:[red, blue”]}
I look forward to hearing form you soon.
Thank you in advance,
Amadeo
Re: Solr standalone + SSL and basic auth
Hi,
Can you provide with more context? Solr doesn't officially support the
'war' (Web application ARchive) any more.
What version of Solr is this? What are you trying to accomplish? Also, the
patches on SOLR-4460 are from over an year ago.
On Mon, Jun 22, 2015 at 5:22 AM, Fadi Mohsen fadi.moh...@gmail.com wrote:
Create collection :
/solr/admin/collections?action=CREATEname=${collectionName}numShards=5replicationFactor=3maxShardsPerNode=3
On Mon, Jun 22, 2015 at 12:56 PM, Fadi Mohsen fadi.moh...@gmail.com
wrote:
Hi, I managed wiring up jetty and Solr war programmatically.
After seeing SOLR-4470 (issues with inter cluster/node client calls), we
now set:
HttpClientUtil.setConfigurer(new MyCustomHttpClientConfigurer());
to setup clients before doing any inter node calls.
also combined with:
jettywebapp.setParentLoaderPriority(true)
which means that application and war uses same classpath.
all good so far, uploading configuration and creating collections works.
But, when quering the collection, responses numFound vary for each
response.
guessing that something is preventing solr from collecting proper answer
from collection (all shards).
We see these warnings in Solr logs:
INFO qtp678433396-57 update.PeerSync [Solr_335] [] PeerSync:
core=test_o_txs_shard1_replica2 url=https://host1:9232/solr START
replicas=[https://host3:9232/solr/test_o_txs_shard1_replica3/]
nUpdates=100
INFO qtp678433396-57 update.PeerSync [Solr_335] [] PeerSync:
core=test_o_txs_shard1_replica2 url=https://host1:9232/solr DONE. We
have no versions. sync failed.
INFO RecoveryThread-test_o_txs_shard4_replica3 cloud.RecoveryStrategy
[Solr_335] [] Attempting to PeerSync from
https://host2:9232/solr/test_o_txs_shard4_replica1/
core=test_o_txs_shard4_replica3 - recoveringAfterStartup=true
INFO RecoveryThread-test_o_txs_shard4_replica3 update.PeerSync
[Solr_335]
[] PeerSync: core=test_o_txs_shard4_replica3 url=https://host1:9232/solr
START replicas=[https://host2:9232/solr/test_o_txs_shard4_replica1/]
nUpdates=100
WARN RecoveryThread-test_o_txs_shard4_replica3 update.PeerSync
[Solr_335]
[] no frame of reference to tell if we've missed updates
INFO RecoveryThread-test_o_txs_shard4_replica3 cloud.RecoveryStrategy
[Solr_335] [] PeerSync Recovery was not successful - trying replication.
core=test_o_txs_shard4_replica3
INFO RecoveryThread-test_o_txs_shard3_replica1 cloud.RecoveryStrategy
[Solr_335] [] Attempting to PeerSync from
https://host3:9232/solr/test_o_txs_shard3_replica2/
core=test_o_txs_shard3_replica1 - recoveringAfterStartup=true
INFO RecoveryThread-test_o_txs_shard3_replica1 update.PeerSync
[Solr_335]
[] PeerSync: core=test_o_txs_shard3_replica1 url=https://host1:9232/solr
START replicas=[https://host3:9232/solr/test_o_txs_shard3_replica2/]
nUpdates=100
WARN RecoveryThread-test_o_txs_shard3_replica1 update.PeerSync
[Solr_335]
[] no frame of reference to tell if we've missed updates
INFO RecoveryThread-test_o_txs_shard3_replica1 cloud.RecoveryStrategy
[Solr_335] [] PeerSync Recovery was not successful - trying replication.
core=test_o_txs_shard3_replica1
any hints?
Regards
/Fadi
--
Anshum Gupta
Re: Solr standalone + SSL and basic auth
Hi, I didnt apply SOLR-4460, I use Solr 5.1.0 and I can see same issue in
log when it comes to gettingstarted example:
no frame of reference to tell if we've missed updates, so that warn is
execused.
Issue now is getting sporadic answers for numFound when doing a plain
select, seem like its quering one shard only each time.
creating the collection:
/solr/admin/collections?action=CREATEname=txsnumShards=2replicationFactor=2
here are the two responses, one time numFound is 29 another is 28:
response: {
numFound: 29,
start: 0,
maxScore: 1,
docs: []
},
debug: {
track: {
rid: -txs_shard1_replica2-1435005201041-5,
EXECUTE_QUERY: {
https://host1:9232/solr/txs_shard1_replica1/|https://host2:9232/solr/txs_shard1_replica2/:
{
QTime: 0,
ElapsedTime: 7,
RequestPurpose: GET_TOP_IDS,
NumFound: 1,
Response:
{responseHeader={status=0,QTime=0,params={df=transactionId,distrib=false,preferLocalShards=false,debug=[false,
timing, track],fl=[transactionId,
score],shards.purpose=4,start=0,fsv=true,shard.url=
https://host1:9232/solr/txs_shard1_replica1/|https://host2:9232/solr/txs_shard1_replica2/,rows=0,rid=-txs_shard1_replica2-1435005201041-5,version=2,q=*:*,requestPurpose=GET_TOP_IDS,NOW=1435005201041,isShard=true,wt=javabin,debugQuery=false,_=1435005200744}
},response={numFound=1,start=0,maxScore=1.0,docs=[]},sort_values={},debug={timing={time=0.0,prepare={time=0.0,query={time=0.0},facet={time=0.0},facet_module={time=0.0},mlt={time=0.0},highlight={time=0.0},stats={time=0.0},expand={time=0.0},debug={time=0.0}},process={time=0.0,query={time=0.0},facet={time=0.0},facet_module={time=0.0},mlt={time=0.0},highlight={time=0.0},stats={time=0.0},expand={time=0.0},debug={time=0.0}
},
https://host3:9232/solr/txs_shard2_replica1/|https://host4:9232/solr/txs_shard2_replica2/:
{
QTime: 1,
ElapsedTime: 10,
RequestPurpose: GET_TOP_IDS,
NumFound: 28,
Response:
{responseHeader={status=0,QTime=1,params={df=transactionId,distrib=false,preferLocalShards=false,debug=[false,
timing, track],fl=[transactionId,
score],shards.purpose=4,start=0,fsv=true,shard.url=
https://host3:9232/solr/txs_shard2_replica1/|https://host4:9232/solr/txs_shard2_replica2/,rows=0,rid=-txs_shard1_replica2-1435005201041-5,version=2,q=*:*,requestPurpose=GET_TOP_IDS,NOW=1435005201041,isShard=true,wt=javabin,debugQuery=false,_=1435005200744}
},response={numFound=28,start=0,maxScore=1.0,docs=[]},sort_values={},debug={timing={time=1.0,prepare={time=1.0,query={time=1.0},facet={time=0.0},facet_module={time=0.0},mlt={time=0.0},highlight={time=0.0},stats={time=0.0},expand={time=0.0},debug={time=0.0}},process={time=0.0,query={time=0.0},facet={time=0.0},facet_module={time=0.0},mlt={time=0.0},highlight={time=0.0},stats={time=0.0},expand={time=0.0},debug={time=0.0}
}
}
},
another time:
response: {
numFound: 28,
start: 0,
maxScore: 1,
docs: []
},
debug: {
track: {
rid: -txs_shard1_replica2-1435005267017-6,
EXECUTE_QUERY: {
https://host1:9232/solr/txs_shard1_replica1/|https://host2:9232/solr/txs_shard1_replica2/:
{
QTime: 1,
ElapsedTime: 5,
RequestPurpose: GET_TOP_IDS,
NumFound: 1,
Response:
{responseHeader={status=0,QTime=1,params={df=transactionId,distrib=false,preferLocalShards=false,debug=[false,
timing, track],fl=[transactionId,
score],shards.purpose=4,start=0,fsv=true,shard.url=
https://host1:9232/solr/txs_shard1_replica1/|https://host2:9232/solr/txs_shard1_replica2/,rows=0,rid=-txs_shard1_replica2-1435005267017-6,version=2,q=*:*,requestPurpose=GET_TOP_IDS,NOW=1435005267017,isShard=true,wt=javabin,debugQuery=false,_=1435005266725}
},response={numFound=1,start=0,maxScore=1.0,docs=[]},sort_values={},debug={timing={time=1.0,prepare={time=1.0,query={time=1.0},facet={time=0.0},facet_module={time=0.0},mlt={time=0.0},highlight={time=0.0},stats={time=0.0},expand={time=0.0},debug={time=0.0}},process={time=0.0,query={time=0.0},facet={time=0.0},facet_module={time=0.0},mlt={time=0.0},highlight={time=0.0},stats={time=0.0},expand={time=0.0},debug={time=0.0}
},
https://host3:9232/solr/txs_shard2_replica1/|https://host4:9232/solr/txs_shard2_replica2/:
{
QTime: 5,
ElapsedTime: 8,
RequestPurpose: GET_TOP_IDS,
NumFound: 27,
Response:
{responseHeader={status=0,QTime=5,params={df=transactionId,distrib=false,preferLocalShards=false,debug=[false,
timing, track],fl=[transactionId,
score],shards.purpose=4,start=0,fsv=true,shard.url=
https://host3:9232/solr/txs_shard2_replica1/|https://host4:9232/solr/txs_shard2_replica2/,rows=0,rid=-txs_shard1_replica2-1435005267017-6,version=2,q=*:*,requestPurpose=GET_TOP_IDS,NOW=1435005267017,isShard=true,wt=javabin,debugQuery=false,_=1435005266725}
Connecting to a Solr server remotely
Hello, I've set up a Solr server on my Linux Virtual Machine. Now I'm trying to access it remotely on my Windows Machine using an http request from a browser. Any time I try to access it with a request such as http//localhost:8983/solr I always get a connection error (with the server running on the linux virtual machine, it's not a because I forgot to turn the service on) I know that my server is probably set to take requests specifically from my virtual machine so I need to change that. From the several hours of research I've done on the web it seems like I need to change jetty.xml in the /etc/jetty directory. But others suggest I need to make a change to solr.config itself. There's a lot of conflicting info and it's pretty much got me randomly changing things in jetty.xml and solr.config and nothing's worked as of yet. If anybody has any idea how to get this to work I would greatly appreciate it. -- View this message in context: http://lucene.472066.n3.nabble.com/Connecting-to-a-Solr-server-remotely-tp4213335.html Sent from the Solr - User mailing list archive at Nabble.com.
RE: Connecting to a Solr server remotely
I checked to see if the firewall rules were blocking it and there were no rules enabled and just to be sure I turned off the firewall completely and it's still being blocked but I did get a message with netstat that might help. tcp6 0 0 :::8983 :::*LISTEN -- View this message in context: http://lucene.472066.n3.nabble.com/Connecting-to-a-Solr-server-remotely-tp4213335p4213342.html Sent from the Solr - User mailing list archive at Nabble.com.
Re: Solr Exact match boost Reduce the results
Hi Alessandro Benedetti, I have changed the query like this. /select?q=(dell+laptop~13+OR+dell+laptop)df=product_namedefType=edismaxqf=product_name^0.001+dummy_product_name^2fl=product_namewt=jsonindent=truedebug=true The corresponding results also given in the below link.Now am getting exact match first. http://pastebin.com/rAYrFiB8 Now the problem is Look at the 8th result product_name:Dell Inspiron 15R 15.6-inch Laptop without Laptop Bag by Dell, its not a relevant result can you check How this happens , check the scores. -- View this message in context: http://lucene.472066.n3.nabble.com/Solr-Exact-match-boost-Reduce-the-results-tp4211352p4213382.html Sent from the Solr - User mailing list archive at Nabble.com.
[ANNOUNCE] Book: Apache Solr Enterprise Search Server, Third Edition
Solr community, David Smiley, Eric Pugh, Kranti Parisa, and Matt Mitchell are happy to *finally* announce the book “Apache Sor Enterprise Search Server, Third Edition” by Packt Publishing. You can find links to buy it Packt’s site Amazon from our book’s official website: http://www.solrenterprisesearchserver.com Preface: If you are a developer building an application today, then you know how important a good search experience is. Apache Solr, built on Apache Lucene, is a wildly popular open source enterprise search server that easily delivers the powerful search and faceted navigation features that are elusive with databases. Solr supports complex search criteria, faceting, result highlighting, query-completion, query spellcheck, relevancy tuning, and more. Apache Solr Enterprise Search Server, Third Edition is a comprehensive resource to almost everything Solr has to offer. It serves the reader right from initiation to development to deployment. It also comes with complete running examples to demonstrate its use and show how to integrate Solr with other languages and frameworks — even Hadoop. By using a large set of metadata, including artists, releases, and tracks, courtesy of the MusicBrainz.org project, you will have a testing ground for Solr and will learn how to import this data in various ways. You will then learn how to search this data in different ways, including Solr's rich query syntax and boosting match scores based on record data. Finally, we'll cover various deployment considerations to include indexing strategies and performance-oriented configuration that will enable you to scale Solr to meet the needs of a high-volume site. Solr 4 or Solr 5?: Apache Solr 4.8.1 is officially the version of Solr this book was written for. Nonetheless, some of the features are discussed or referenced in the later versions of Solr as far as 5.0. In fact, Chapter 1, Quick Starting Solr, orients you to Solr 5, which has a different first-impression experience than its predecessor. Once you get Solr running, you should be able to follow along easily with Solr 5. In Chapter 10, Scaling Solr, there are some SolrCloud startup commands that are a little different, and we've pointed out how they change. The only substantial topic not covered in this book that evolved through the Solr 4 point releases is data-driven schemaless mode, and HTTP API calls to make schema changes. How this edition has improved: Solr 4 was Solr's biggest release ever. We updated the previous edition to cover Solr 4, and some of Solr 5 -- particularly the part of Solr 5 that needs to be covered most, the bin/solr script. Chapter 9, Integrating Solr, now covers Hadoop integration, and better covers SolrJ. Chapter 3, Text Analysis, introduces various approaches for implementing Multilingual Search in your applications. And we think you'll appreciate the enhanced coverage of the topic of query auto-suggesters (AKA query completion) in Chapter 8, Search Components -- a feature that is important to most search applications. This edition has two additional authors, Kranti Matt, who add their perspectives based on their experience working with Solr for a long time. Who this book is for: This book is primarily for developers who want to learn how to use Apache Solr in their applications. Only basic programming skills are assumed, although the vast majority of content should be useful to those with a solid technical foundation that have not yet programmed. ~ David Smiley, Eric Pugh, Kranti Parisa, and Matt Mitchell http://www.solrenterprisesearchserver.com
Re: understanding collapsingQParser with facet vs group.facet
The group head is the document from each group that was selected during the collapse. Only the group heads remain in the result set following the collapse. It looks like in the example above you have the basic idea correct. Joel Bernstein http://joelsolr.blogspot.com/ On Sat, Jun 20, 2015 at 12:40 AM, Derek Poh d...@globalsources.com wrote: Hi Joel By group heads, is it referring to the document thatis use to represent each group in the main result section? Eg. Using the below 3 documentsandwe collapse on field supplier_id supplier_id:S1 product_id:P1 supplier_id:S2 product_id:P2 supplier_id:S2 product_id:P3 With collapse on supplier_id, the result in the main sectionis as follows, supplier_id:S1 product_id:P1 supplier_id:S2 product_id:P3 The group head of supplier_id:S1 is P1and supplier_id:S2 will be P3? Facets (and even sort) are calculated on P1 and P3? -Derek On 6/19/2015 7:05 PM, Joel Bernstein wrote: The CollapsingQParserPlugin currently doesn't calculate facets at all. It simply collapses the document set. The facets are then calculated only on the group heads. Grouping has special faceting code built into it that supports the group.facet functionality. Joel Bernstein http://joelsolr.blogspot.com/ On Fri, Jun 19, 2015 at 6:20 AM, Derek Poh d...@globalsources.com wrote: Hi I read about collapsingQParser returns the facet count the same as group.truncate=true and has this issue with the facet count and the after filter facet count notthe same. Using group.facetdoes not has this issue but it's performance is very badcompared to collapsingQParser. I trying to understand why collapsingQParser behave this way and will need to explain to management. Can someone explain how collapsingQParser calculatethefacet countscompated to group.facet? Thank you, Derek
Re: Solr standalone + SSL and basic auth
Create collection :
/solr/admin/collections?action=CREATEname=${collectionName}numShards=5replicationFactor=3maxShardsPerNode=3
On Mon, Jun 22, 2015 at 12:56 PM, Fadi Mohsen fadi.moh...@gmail.com wrote:
Hi, I managed wiring up jetty and Solr war programmatically.
After seeing SOLR-4470 (issues with inter cluster/node client calls), we
now set:
HttpClientUtil.setConfigurer(new MyCustomHttpClientConfigurer());
to setup clients before doing any inter node calls.
also combined with:
jettywebapp.setParentLoaderPriority(true)
which means that application and war uses same classpath.
all good so far, uploading configuration and creating collections works.
But, when quering the collection, responses numFound vary for each
response.
guessing that something is preventing solr from collecting proper answer
from collection (all shards).
We see these warnings in Solr logs:
INFO qtp678433396-57 update.PeerSync [Solr_335] [] PeerSync:
core=test_o_txs_shard1_replica2 url=https://host1:9232/solr START
replicas=[https://host3:9232/solr/test_o_txs_shard1_replica3/]
nUpdates=100
INFO qtp678433396-57 update.PeerSync [Solr_335] [] PeerSync:
core=test_o_txs_shard1_replica2 url=https://host1:9232/solr DONE. We
have no versions. sync failed.
INFO RecoveryThread-test_o_txs_shard4_replica3 cloud.RecoveryStrategy
[Solr_335] [] Attempting to PeerSync from
https://host2:9232/solr/test_o_txs_shard4_replica1/
core=test_o_txs_shard4_replica3 - recoveringAfterStartup=true
INFO RecoveryThread-test_o_txs_shard4_replica3 update.PeerSync [Solr_335]
[] PeerSync: core=test_o_txs_shard4_replica3 url=https://host1:9232/solr
START replicas=[https://host2:9232/solr/test_o_txs_shard4_replica1/]
nUpdates=100
WARN RecoveryThread-test_o_txs_shard4_replica3 update.PeerSync [Solr_335]
[] no frame of reference to tell if we've missed updates
INFO RecoveryThread-test_o_txs_shard4_replica3 cloud.RecoveryStrategy
[Solr_335] [] PeerSync Recovery was not successful - trying replication.
core=test_o_txs_shard4_replica3
INFO RecoveryThread-test_o_txs_shard3_replica1 cloud.RecoveryStrategy
[Solr_335] [] Attempting to PeerSync from
https://host3:9232/solr/test_o_txs_shard3_replica2/
core=test_o_txs_shard3_replica1 - recoveringAfterStartup=true
INFO RecoveryThread-test_o_txs_shard3_replica1 update.PeerSync [Solr_335]
[] PeerSync: core=test_o_txs_shard3_replica1 url=https://host1:9232/solr
START replicas=[https://host3:9232/solr/test_o_txs_shard3_replica2/]
nUpdates=100
WARN RecoveryThread-test_o_txs_shard3_replica1 update.PeerSync [Solr_335]
[] no frame of reference to tell if we've missed updates
INFO RecoveryThread-test_o_txs_shard3_replica1 cloud.RecoveryStrategy
[Solr_335] [] PeerSync Recovery was not successful - trying replication.
core=test_o_txs_shard3_replica1
any hints?
Regards
/Fadi
Replication as backup in SolrCloud
Hi, I have a SolrCloud cluster in one data center, but as backup I want to have a second (replicated) cluster in another data center. What I want is to replicate to this second cluster, but I don't want my queries to go to this cluster. Is this possible within SolrCloud? As now it seems to replicate, but also distribute the query request to this replicated server. Gr -- View this message in context: http://lucene.472066.n3.nabble.com/Replication-as-backup-in-SolrCloud-tp4213267.html Sent from the Solr - User mailing list archive at Nabble.com.
