Re: time span problem

[Clood]

I hope you find a solution, i had a similar problem : the same error message

i solve it by changing my logstash mapping i change the integer to long on 
one field




Le vendredi 2 mai 2014 10:43:34 UTC+2, Quentin Guiot a écrit :
>
> Hello 
>
> I restarted elasticsearch this morning and I got the following error 
>
> "*No results* There were no results because no indices were found that 
> match your selected time span"
>
> and nothing is working anymore
> when i try to change the timestamp of the dashboard i got bigger errors 
> like 
>
> " *Oops!* FacetPhaseExecutionException[Facet [0]: (key) field 
> [@timestamp] not found]"
>
> i checked on google and see that this was related with my mapping file but 
> i don't find it 
> does it needs to be created or something ? 
> It worked before and i've never been asked about this file
>
> can someone help me with this errors?
>
> Thank you
>

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Re: Storing and analyzing user agent strings, general approach

[Patrick Proniewski]

I just realize that the "user-agent" field comes from my Apache config, where I 
define a JSON logging format: 

LogFormat "{ \"@timestamp\": \"%{%Y-%m-%dT%H:%M:%S%z}t\", \"message\": \"%r\", 
\"host\": \"%v\", \"user-agent\": \"%{User-agent}i\", \"client\": \"%a\", 
\"duration_usec\": %D, \"duration_sec\": %T, \"status\": %s, \"size\": %B, 
\"request_path\": \"%U\", \"request\": \"%U%q\", \"method\": \"%m\", 
\"referrer\": \"%{Referer}i\" }" logstash_ext_json

everything else is in my first email.

On 27 juin 2014, at 22:03, Mark Dodwell wrote:

> Thanks, lots of useful stuff there. 
> 
> --
> 
> Sent from Mailbox for iPhone
> 
> 
> On Thu, Jun 26, 2014 at 12:34 AM, Patrick Proniewski 
>  wrote:
> 
> Hi, 
> 
> You should give http://logstash.net/docs/1.4.2/filters/useragent a try before 
> anything else. 
> 
> Here is the relevant part of logstash.conf I'm using: 
> 
> filter { 
> if [type] == "apache" { 
> if [user-agent] != "-" and [user-agent] != "" { 
> useragent { 
> add_tag => [ "UA" ] 
> source => "user-agent" 
> } 
> } 
> if "UA" in [tags] { 
> if [device] == "Other" { mutate { remove_field => "device" } } 
> if [name] == "Other" { mutate { remove_field => "name" } } 
> if [os] == "Other" { mutate { remove_field => "os" } } 
> } 
> } 
> } 
> 
> It retains the full user-agent field, and add nice fileds like "device", 
> "major" and "minor" version, "name", "os", "os_name", "os_major" and 
> "os_minor". 
> 
> sample: 
> "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_5) 
> AppleWebKit/537.76.4 (KHTML, like Gecko) Version/6.1.4 Safari/537.76.4", 
> "name": "Safari", 
> "os": "Mac OS X 10.8.5", 
> "os_name": "Mac OS X", 
> "os_major": "10", 
> "os_minor": "8", 
> "major": "6", 
> "minor": "1", 
> "patch": "4", 
> 
> 
> On 26 juin 2014, at 09:09, Mark Dodwell  wrote: 
> 
> > I want to store a bunch of documents in elasticsearch (which represent a 
> > hit to a website) including the user agent of the client that made the 
> > original HTTP request. 
> > 
> > Since user agent strings have a lot of variance, and the useful parts need 
> > parsing out (OS, browser, version etc.) I would like to be able to perform 
> > aggregations on those extracted features. 
> > 
> > The simplest way I can think to do this would be to analyze the user agent 
> > string before indexing the document. The downside to this approach is as 
> > new/different user agent strings emerge (which is not unlikely) you would 
> > have to proactively update the parser. 
> > 
> > This may be impossibly/undesirable for a number of reasons, but what I'd 
> > really like to do is index the raw user agent string and then perform the 
> > analysis/feature extraction post-hoc at query time. Any ideas/pointers on 
> > how to do this? 
> > 
> > Aggregators? Custom analyzers? (How would you handle an update to the 
> > analyzer, would you need to re-run against all existing stored data?) 
> > 
> > -- 
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> >  
> > For more options, visit https://groups.google.com/d/optout. 
> 
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[crockxie delltra]

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how to aggregate this kind of data

[Helennie Nie]

Hi there

I have some data like :
{
"url":"xxx",
"pv":n,
"date":Date
}
url is a string and pv is an integer, what I want is to sum pv of an url 
form one date to another date, what aggregation should I use?

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bucketize document score based on values of an attribute

[bsa]

I am writing a function in a function_score query to alter the default 
score of a document based on the value of an attribute. For example, if an 
attribute "status" has two values "open" and "closed" and I want search 
hits with "open" status to be ranked higher than those with "closed" 
status. 

My current idea is to scale the score of a search hit to a scale of 0 to 
(0.5*max_score) for records with "closed" status and scale of 
(0.5*max_score to max_score) for records with "open" status. This will make 
open records to rank higher than closed records. This requires max_score to 
be known in the function script. 

Questions - 
1) How to access max_score of a search hit in the function script? 
2) Is there an alternate way to achieve the above ranking?

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Re: ES fails to load plugin - what am I missing?

[Frank Flynn]

OK - never mind --- 

/etc/init.d/elasticsearch restart  didn't really restart it.  Got it really 
restarted and the plugin shows up.


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Re: Why does the TransportClient depend on Lucene core?

[Jeroen Reijn]

Thank you David. I wanted to try to stay as close to the elasticsearch 
stack as possible. I've found a different (less nice) way of achieve the 
same end result.

Jeroen

On Friday, June 27, 2014 2:38:20 PM UTC+2, David Pilato wrote:
>
> The TransportClient is part of the full elasticsearch distribution.
> We don't have another official client for that.
>
> If you really need to have another Lucene version in your class path, I'm 
> afraid you need to use HTTP REST Layer and not Transport layer.
>
> May be you should look at JEST in that case? 
> http://www.elasticsearch.org/guide/en/elasticsearch/client/community/current/clients.html#community-java
>
> -- 
> *David Pilato* | *Technical Advocate* | *Elasticsearch.com*
> @dadoonet  | @elasticsearchfr 
> 
>
>
> Le 27 juin 2014 à 13:32:55, Jeroen Reijn (j.r...@1hippo.com ) 
> a écrit:
>
>  Hi all,
>
> while trying to use the TransportClient to connect to a remote 
> elasticsearch cluster in a project that already contains Lucene libraries 
> it fails to create a client connection with the following error.
>
>  
>
> [INFO] [talledLocalContainer] Jun 27, 2014 12:43:53 PM org.apache.catalina
> .core.StandardContext loadOnStartup
> [INFO] [talledLocalContainer] SEVERE: Servlet /app threw load() exception
> [INFO] [talledLocalContainer] at org.elasticsearch.Version.(
> Version.java:119)
> [INFO] [talledLocalContainer] at org.elasticsearch.client.transport.
> TransportClient.(TransportClient.java:169)
> [INFO] [talledLocalContainer] at org.elasticsearch.client.transport.
> TransportClient.(TransportClient.java:125)
>
>
> Caused by: java.lang.NoSuchFieldError: LUCENE_41
>
>  
>
>
> I guess this has to do with the assignment of 
>
>  Version version = Version.CURRENT;
>  
>
> Is there a particular reason why the transport client depends on the 
> Lucene core library which contains the versions?
>
> Is there a way I can work around this besides not having the old lucene 
> libraries in my classpath?
>
> Kind regards,
>
> Jeroen
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> .
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ES fails to load plugin - what am I missing?

[Frank Flynn]

Hi everyone,

I'm trying to do a back up to S3.  I'm running ES "version" : "1.1.1", 
"build" : "f1585f0" and I have tried to install the plugin on all the nodes

  bin/plugin -install elasticsearch/elasticsearch-cloud-aws/2.1.1

which appeared to work (no errors) and I restarted all of the nodes.  but 
it did not work - when I try to create a snapshot using "type": "s3" I get 
an error:

  NoClassSettingsException[failed to load class with value [s3];

And when I do the _nodes query it shows (among many other things):

"plugins" : [ ]

So I tried to install the elasticsearch-cloud-aws/2.1.1 plugin again and I 
get an error saying that directory exists and I should uninstall if I want 
to update.  So what did I miss?  Why is this lot loading - there is nothing 
in the error logs at all.

Thanks for any help,
Frank

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Re: Query on Id field of nested documents fails.

[Ivan Brusic]

It is not related to that issue. In that issue, your query would work, but
all the nested documents are returned, not just the relevant.

It seems like the query fails on fields named "id". If you rename that
field, the query works, so it has nothing to do with your mapping. I would
report it as a bug or use another field name.

-- 
Ivan


On Thu, Jun 26, 2014 at 9:29 AM, dazraf 
wrote:

> Is this related to this issue?
> https://github.com/elasticsearch/elasticsearch/issues/3022
>
>
> On Tuesday, 24 June 2014 14:43:01 UTC+1, dazraf wrote:
>
>> Hi,
>>
>> Very grateful for any help with the following (rather urgent) issue.
>> Gist: https://gist.github.com/dazraf/55ebb900b3c17583bf58
>>
>>
>> The script clears the indices and sets up dynamic mapping so that all
>> child documents are treated as nested.
>> Then there are two queries on fields of
>> *message.statistics.timings.measure.thing*.
>> The first, on *uniqueThing* field succeeds.
>> The second on the *id* field fails with zero documents.
>>
>> Not sure why the second query is failing to locate any documents.
>>
>> Any help much appreciated!
>>
>> thanks
>> Fuzz.
>>
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Re: Storing and analyzing user agent strings, general approach

[Mark Dodwell]

Thanks, lots of useful stuff there. 

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On Thu, Jun 26, 2014 at 12:34 AM, Patrick Proniewski
 wrote:

> Hi,
> You should give http://logstash.net/docs/1.4.2/filters/useragent a try before 
> anything else.
> Here is the relevant part of logstash.conf I'm using: 
> filter {
> if [type] == "apache" {
> if [user-agent] != "-" and [user-agent] != "" {
>   useragent {
> add_tag => [ "UA" ]
> source => "user-agent"
>   }
> }
> if "UA" in [tags] {
> if [device] == "Other" { mutate { remove_field => 
> "device" } }
> if [name]   == "Other" { mutate { remove_field => 
> "name" } }
> if [os] == "Other" { mutate { remove_field => 
> "os" } }
> }
> }
> }
> It retains the full user-agent field, and add nice fileds like "device", 
> "major" and "minor" version, "name", "os", "os_name", "os_major" and 
> "os_minor".
> sample: 
> "user-agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_8_5) 
> AppleWebKit/537.76.4 (KHTML, like Gecko) Version/6.1.4 Safari/537.76.4",
> "name": "Safari",
> "os": "Mac OS X 10.8.5",
> "os_name": "Mac OS X",
> "os_major": "10",
> "os_minor": "8",
> "major": "6",
> "minor": "1",
> "patch": "4",
> On 26 juin 2014, at 09:09, Mark Dodwell  wrote:
>> I want to store a bunch of documents in elasticsearch (which represent a 
>> hit to a website) including the user agent of the client that made the 
>> original HTTP request.
>> 
>> Since user agent strings have a lot of variance, and the useful parts need 
>> parsing out (OS, browser, version etc.) I would like to be able to perform 
>> aggregations on those extracted features.
>> 
>> The simplest way I can think to do this would be to analyze the user agent 
>> string before indexing the document. The downside to this approach is as 
>> new/different user agent strings emerge (which is not unlikely) you would 
>> have to proactively update the parser.
>> 
>> This may be impossibly/undesirable for a number of reasons, but what I'd 
>> really like to do is index the raw user agent string and then perform the 
>> analysis/feature extraction post-hoc at query time. Any ideas/pointers on 
>> how to do this?
>> 
>> Aggregators? Custom analyzers? (How would you handle an update to the 
>> analyzer, would you need to re-run against all existing stored data?)
>> 
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Re: Elasticsearch wont start on Ubuntu 14.04

[Steven Yue]

Hi, sri

Thanks for your reply. Yes, they all have permissions

'ls -lah' shows this:

drwxr-xr-x  2 elasticsearch elasticsearch 



On Friday, June 27, 2014 3:42:51 PM UTC-4, sri wrote:
>
> Hi Steven,
>
> your /home/data/elasticsearch and /home/log/elasticsearch folder should be 
> owned by elasticsearch and should have write permissions.
> Could you confirm that for me.. pls.. 
>
> Thanks and Regards
> Sri
>
> On Friday, June 27, 2014 3:32:10 PM UTC-4, Steven Yue wrote:
>>
>> Hi, Sri
>>
>> I tried to change logging level to TRACE in logging.yml file, but still 
>> it just did not create any logs.
>>
>> I noticed it only read settings inside "/etc/default/elasticsearch", but 
>> never read settings inside "/etc/elasticsearch/elasticsearch.yml", even 
>> though I have 'CONF_FILE=/etc/elasticsearch/elasticsearch.yml'
>>
>> So if I set 'LOG_DIR=/home/log/elasticsearch', 
>> 'DATA_DIR=/home/data/elasticsearch' 
>> inside "/etc/default/elasticsearch", it will at least create those 
>> directories accordingly when starting, but it will not if I set those 
>> variables inside 'elasticsearch.yml' file using path.data, path.logs.
>>
>> This also makes me believe the logging.yml file is never read.
>>
>> On Friday, June 27, 2014 11:38:06 AM UTC-4, sri wrote:
>>>
>>> Hi Steven,
>>>
>>> Change the logging level to TRACE or DEBUG and check the logs , you 
>>> should be able to identify the problem.
>>> Hope that helps
>>>
>>> Thanks and Regards
>>> Sri
>>>
>>> On Friday, June 27, 2014 10:51:36 AM UTC-4, Steven Yue wrote:

 Hi, everyone

 I'm trying to install elasticsearch 1.2.1 on a ubuntu 14.04 server. 

 I used the dpkg -i to install

 When I run 'sudo /etc/init.d/elasticsearch start', it says: "Starting 
 Elasticsearch Server [ OK ]", but actually no process is ever started, and 
 I couldn't find any errors or any logs in the log folder(
 /var/log/elasticsearch).

 I tried to run 'sudo /usr/share/elasticsearch/bin/elasticsearch start' 
 directly, and it is able to start and i can get response when using curl, 
 although it gives me the following warnning:

 log4j:WARN No appenders could be found for logger (node).
 log4j:WARN Please initialize the log4j system properly.
 log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig 
 for more info.


 I tried to edit settings in /etc/default/elasticsearch, uncommented 
 the following lines:

 ES_HEAP_SIZE=2g

 MAX_LOCKED_MEMORY=unlimited

 # Elasticsearch log directory
 LOG_DIR=/var/log/elasticsearch

 # Elasticsearch data directory
 DATA_DIR=/home/data/elasticsearch

 # Elasticsearch work directory
 WORK_DIR=/home/tmp/elasticsearch

 # Elasticsearch configuration directory
 CONF_DIR=/etc/elasticsearch

 # Elasticsearch configuration file (elasticsearch.yml)
 CONF_FILE=/etc/elasticsearch/elasticsearch.yml

 When restart the service, I did see it created the folder, but still 
 failed to run, even thought it says 'OK'


 Could anyone help me to figure out why and how to run it? Thanks




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Re: Elasticsearch wont start on Ubuntu 14.04

[sri]

Hi Steven,

your /home/data/elasticsearch and /home/log/elasticsearch folder should be 
owned by elasticsearch and should have write permissions.
Could you confirm that for me.. pls.. 

Thanks and Regards
Sri

On Friday, June 27, 2014 3:32:10 PM UTC-4, Steven Yue wrote:
>
> Hi, Sri
>
> I tried to change logging level to TRACE in logging.yml file, but still it 
> just did not create any logs.
>
> I noticed it only read settings inside "/etc/default/elasticsearch", but 
> never read settings inside "/etc/elasticsearch/elasticsearch.yml", even 
> though I have 'CONF_FILE=/etc/elasticsearch/elasticsearch.yml'
>
> So if I set 'LOG_DIR=/home/log/elasticsearch', 
> 'DATA_DIR=/home/data/elasticsearch' 
> inside "/etc/default/elasticsearch", it will at least create those 
> directories accordingly when starting, but it will not if I set those 
> variables inside 'elasticsearch.yml' file using path.data, path.logs.
>
> This also makes me believe the logging.yml file is never read.
>
> On Friday, June 27, 2014 11:38:06 AM UTC-4, sri wrote:
>>
>> Hi Steven,
>>
>> Change the logging level to TRACE or DEBUG and check the logs , you 
>> should be able to identify the problem.
>> Hope that helps
>>
>> Thanks and Regards
>> Sri
>>
>> On Friday, June 27, 2014 10:51:36 AM UTC-4, Steven Yue wrote:
>>>
>>> Hi, everyone
>>>
>>> I'm trying to install elasticsearch 1.2.1 on a ubuntu 14.04 server. 
>>>
>>> I used the dpkg -i to install
>>>
>>> When I run 'sudo /etc/init.d/elasticsearch start', it says: "Starting 
>>> Elasticsearch Server [ OK ]", but actually no process is ever started, and 
>>> I couldn't find any errors or any logs in the log folder(
>>> /var/log/elasticsearch).
>>>
>>> I tried to run 'sudo /usr/share/elasticsearch/bin/elasticsearch start' 
>>> directly, and it is able to start and i can get response when using curl, 
>>> although it gives me the following warnning:
>>>
>>> log4j:WARN No appenders could be found for logger (node).
>>> log4j:WARN Please initialize the log4j system properly.
>>> log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig 
>>> for more info.
>>>
>>>
>>> I tried to edit settings in /etc/default/elasticsearch, uncommented the 
>>> following lines:
>>>
>>> ES_HEAP_SIZE=2g
>>>
>>> MAX_LOCKED_MEMORY=unlimited
>>>
>>> # Elasticsearch log directory
>>> LOG_DIR=/var/log/elasticsearch
>>>
>>> # Elasticsearch data directory
>>> DATA_DIR=/home/data/elasticsearch
>>>
>>> # Elasticsearch work directory
>>> WORK_DIR=/home/tmp/elasticsearch
>>>
>>> # Elasticsearch configuration directory
>>> CONF_DIR=/etc/elasticsearch
>>>
>>> # Elasticsearch configuration file (elasticsearch.yml)
>>> CONF_FILE=/etc/elasticsearch/elasticsearch.yml
>>>
>>> When restart the service, I did see it created the folder, but still 
>>> failed to run, even thought it says 'OK'
>>>
>>>
>>> Could anyone help me to figure out why and how to run it? Thanks
>>>
>>>
>>>

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Re: Elasticsearch wont start on Ubuntu 14.04

[Steven Yue]

Hi, Sri

I tried to change logging level to TRACE in logging.yml file, but still it 
just did not create any logs.

I noticed it only read settings inside "/etc/default/elasticsearch", but 
never read settings inside "/etc/elasticsearch/elasticsearch.yml", even 
though I have 'CONF_FILE=/etc/elasticsearch/elasticsearch.yml'

So if I set 'LOG_DIR=/home/log/elasticsearch', 
'DATA_DIR=/home/data/elasticsearch' 
inside "/etc/default/elasticsearch", it will at least create those 
directories accordingly when starting, but it will not if I set those 
variables inside 'elasticsearch.yml' file using path.data, path.logs.

This also makes me believe the logging.yml file is never read.

On Friday, June 27, 2014 11:38:06 AM UTC-4, sri wrote:
>
> Hi Steven,
>
> Change the logging level to TRACE or DEBUG and check the logs , you should 
> be able to identify the problem.
> Hope that helps
>
> Thanks and Regards
> Sri
>
> On Friday, June 27, 2014 10:51:36 AM UTC-4, Steven Yue wrote:
>>
>> Hi, everyone
>>
>> I'm trying to install elasticsearch 1.2.1 on a ubuntu 14.04 server. 
>>
>> I used the dpkg -i to install
>>
>> When I run 'sudo /etc/init.d/elasticsearch start', it says: "Starting 
>> Elasticsearch Server [ OK ]", but actually no process is ever started, and 
>> I couldn't find any errors or any logs in the log folder(
>> /var/log/elasticsearch).
>>
>> I tried to run 'sudo /usr/share/elasticsearch/bin/elasticsearch start' 
>> directly, and it is able to start and i can get response when using curl, 
>> although it gives me the following warnning:
>>
>> log4j:WARN No appenders could be found for logger (node).
>> log4j:WARN Please initialize the log4j system properly.
>> log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for 
>> more info.
>>
>>
>> I tried to edit settings in /etc/default/elasticsearch, uncommented the 
>> following lines:
>>
>> ES_HEAP_SIZE=2g
>>
>> MAX_LOCKED_MEMORY=unlimited
>>
>> # Elasticsearch log directory
>> LOG_DIR=/var/log/elasticsearch
>>
>> # Elasticsearch data directory
>> DATA_DIR=/home/data/elasticsearch
>>
>> # Elasticsearch work directory
>> WORK_DIR=/home/tmp/elasticsearch
>>
>> # Elasticsearch configuration directory
>> CONF_DIR=/etc/elasticsearch
>>
>> # Elasticsearch configuration file (elasticsearch.yml)
>> CONF_FILE=/etc/elasticsearch/elasticsearch.yml
>>
>> When restart the service, I did see it created the folder, but still 
>> failed to run, even thought it says 'OK'
>>
>>
>> Could anyone help me to figure out why and how to run it? Thanks
>>
>>
>>

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enabling scripting for installed scripts only

[greg j]

Hi,

We'd like to enable custom scoring using a script that we'll install under 
config/scripts, so that we can invoke it as part of a function_score query, 
like

"query": {
  "function_score": {
"query" : { ... },
"functions": [ {
   "script_score": {
 "script": "my-script" // installed in config/scripts/my-script.mvel
   }
}]
  }
}



In order to do this, it looks like we have to set 

script.disable_dynamic: false

in elasticsearch.yml.

But that also allows arbitrary script code to be submitted as the body of 
the script field, which we want to disallow.

Is it possible to configure scripting to work only with named scripts that 
are installed?  It seems like the one config option I found is to coarse 
for this.

Thanks!

-gregj

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Re: cross data center replication

[Matthew Parrott]

I'm interested in this too.
es-reindex seems like it lacks conflict resolution, and as noted in the 
docs, would be better implemented as a river.

On Wednesday, June 4, 2014 9:03:37 PM UTC-7, Todd Nine wrote:
>
> Hey all,
>  
> Sorry to resurrect a dead thread.  Did you ever find a solution for 
> eventual consistency of documents across EC2 regions?
>
> Thanks,
> todd
>
>
>
> On Wednesday, May 1, 2013 5:50:00 AM UTC-7, Norberto Meijome wrote:
>>
>> +1 on all of the above. es-reindex already in my list of things to 
>> investigate (for a number of issues...)
>>
>> cheers,
>> b 
>>
>>
>> On Wed, May 1, 2013 at 6:58 AM, Paul Hill  wrote:
>>
>>> On 4/23/2013 8:44 AM, Daniel Maher wrote:
>>>
 On 2013-04-23 5:22 PM, Saikat Kanjilal wrote:

> Hello Folks,
> [...] does ES out of the box currently support cross data
> center replication,  []
>

 Hello,

 I'd wager that the question you're really asking about is how to 
 control where shards are placed; if you can make deterministic statements 
 about where shards are, then you can create your own "rack-aware" or "data 
 centre-aware" scenarios.  ES has supported this "out of the box" for well 
 over a year now (possibly longer).

 You'll want to investigate "zones" and "routing allocation", which are 
 the key elements of shard placement.  There is an excellent blog post 
 which 
 describes exactly how to set things up here :
 http://blog.sematext.com/2012/05/29/elasticsearch-shard-
 placement-control/ 

  Is shard allocation really the correct solution if the data centers 
>>> are globally distributed?
>>>
>>> If I have a data center in the US intended to server data from the US, 
>>> but it should also have access to Europe and Asia data, and clusters in 
>>> both Europe and Asia with similar needs, would I really want to use zones 
>>> etc. and have one great global cluster with data center aware 
>>> configurations?
>>>
>>> Assuming that the US would be happy to deal with old documents from Asia 
>>> and Europe, when Asia or Europe is off line or just not caught up, it would 
>>> seem that you would NOT want a "world" cluster, because I can't picture how 
>>> you'd configure a 3-part world cluster for both index into the right 
>>> indices, search the right (possible combination of) shards, but also 
>>> preventing "split brain".
>>>
>>> In the scenerio, I've described, I would think each data center might 
>>> better provide availability and eventual consistency (with less concern for 
>>> the remote data from the other region) by having three clusters and some 
>>> type of syncing from one index to copies at the other two locations.  For 
>>> example, the US datacenter might have a US, copyOfEurope, and copyOfAsia 
>>> index.
>>>
>>> Anyone have any observations about such a world-wide scenerio?
>>> Are there any index to index copy utilities?
>>> Is there a river or other plugin that might be useful for this three 
>>> clusters working together scenerio?
>>> How about the project https://github.com/karussell/elasticsearch-reindex
>>> ?
>>> Comments?
>>>
>>> -Paul
>>>
>>>
>>> -- 
>>> You received this message because you are subscribed to the Google 
>>> Groups "elasticsearch" group.
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>>> an email to elasticsearc...@googlegroups.com.
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>>>
>>>
>>>
>>
>>
>> -- 
>> Norberto 'Beto' Meijome
>>  
>

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Re: Understanding my Index using HEAD plugin

[Abhijeet Rastogi]

See my answers inline.

On Fri, Jun 27, 2014 at 8:42 PM, IronMan2014  wrote:
> I am trying to understand my index (attached in screenshot) and how can I
> improve size and performance.
> The goal is to index 5 million docs. So, I started small by indexing 421,000
> docs as shown in the image.
> - I am using two nodes (1 & 2) ; node 1 master
>
> Q1) My index size is 3.99 GB with 421,627 docs so far, so I am guessing it
> will be over 40 GB with 5 million docs? Does the size sound too big? I do
> have store = YES for PDF docs.

Total size depends on the kind of docs you'll index. So, it depends!

> Q2) What is the (8 GB) from the image, is this the size on the 2 nodes?
> Also, what is (526,428) ?

Total size of primary shards equals 3.99GB in your case. So, 3.99GB
will be the total size in case you had zero replica. As you've 1
replica set, actual disk space used is 8GB.

Regarding number of documents, 421627 is the total number of docs
present in your index. 526428 is the max_docs your index has seen
before the merge removed the deleted docs.

> Q3) Should I do more nodes, more/less shards?

That really depends. I would suggest doing some tests to find out what
works best for you. Even having 2 shards will work in your case as you
have 2 nodes and each primary shard will go to different nodes. But
then, it'll limit your option of adding a node in case you need more
nodes. ( Of course, there are workarounds).

>
> --
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Abhijeet Rastogi (shadyabhi)

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Re: Notifications from Elasticsearch when documents are added.

[Matthew Parrott]

I found this note:
http://www.elasticsearch.org/blog/1-0-0-beta2-released/

Which mentions:
"Later on we plan on making cross data-center replication possible by 
adding the ability to do incremental restores into a read-only index."

Is that feature still on the roadmap?

Thanks

On Friday, June 27, 2014 10:40:55 AM UTC-7, Matthew Parrott wrote:
>
> Hey!
>
> I have looked at tribes, but didn't look deeply because of this:
>
> "The merged view cannot handle indices with the same name in multiple 
> clusters."
>
> I'd like to have indexes replicated across datacenters. Is there a way to 
> accomplish that with tribes?
>
> Thanks!
>
> On Friday, June 27, 2014 2:29:46 AM UTC-7, Jörg Prante wrote:
>>
>> Have you seen the Tribe Node? This is a kind of a "merged state" 
>> multi-master cluster. 
>>
>>
>> http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-tribe.html
>>
>> Jörg
>>
>>
>> On Fri, Jun 27, 2014 at 1:39 AM, Matthew Parrott  
>> wrote:
>>
>>> Hi!
>>>
>>> Have there been any further explorations in the area of wan replication?
>>>
>>> I have ES clusters in multiple datacenters connected via high-speed 
>>> private network. I'm wondering if multi-master replication would be 
>>> possible in this environment or if we'd need some type of 'shovel' plugin 
>>> like the one described here to ship data between the DCs.
>>>
>>> Thanks,
>>> Matthew
>>>
>>>
>>> On Tuesday, July 23, 2013 10:06:10 AM UTC-7, Jörg Prante wrote:
>>>
 Yes, I once examined Kafka, and discovered that many components are 
 already there in Elasticsearch. For example, the activity stream is 
 already 
 there as ES translog (if you focus on indexing operations) and the ES 
 gateway is a useful persistency store mechanism. What I didn't like was 
 the 
 single Kafka JVM, and the Zookeeper infrastructure, it is all adding up 
 complexity beside ES.

 For cross-cluster replication, I think the best approach is distributed 
 log replication. This is hard, because logged ES operations must be 
 synchronized by an external time source (e.g. vector clocks) to use them 
 like a global event stream. A pubsub mechanism could then work at the 
 primary shards of an index in the ES node as a service, merging the 
 translogs for an external agent who previously subscribed to the 
 replication stream. The vector clock is required for a distributed time 
 machine like behavior (snapshots), assuming the translog is not deleted, 
 but stored for a certain time window.

 Jörg


 On Tue, Jul 23, 2013 at 3:55 PM, Vinicius Carvalho <
 vinicius...@gmail.com> wrote:

> Thanks again Jorg, so that you know I'm actually considering using 
> kafka for intra cluster replication. We want to push the index operations 
> to a topic and then other clusters on different DCs would subscribe to 
> this. Conflict resolution will be last commit will win. And in case of 
> kafka cluster failure we will append changes to a local index, and then 
> send them over as the bus is back. In the case ES cluster dies, and when 
> it 
> recovers, one nice thing on kafka is that one can request messages based 
> on 
> an offset, so we could start consuming messages from the last point the 
> cluster had consume them.
>
> It's all ideas I'm working right now. I'll probably have time to start 
> coding them soon. Thanks for all the support :)
>
> Cheers
>
>   -- 
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>>> Groups "elasticsearch" group.
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>>> an email to elasticsearc...@googlegroups.com.
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>>>  
>>> 
>>> .
>>> For more options, visit https://groups.google.com/d/optout.
>>>
>>
>>

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Re: Notifications from Elasticsearch when documents are added.

[Matthew Parrott]

Hey!

I have looked at tribes, but didn't look deeply because of this:

"The merged view cannot handle indices with the same name in multiple 
clusters."

I'd like to have indexes replicated across datacenters. Is there a way to 
accomplish that with tribes?

Thanks!

On Friday, June 27, 2014 2:29:46 AM UTC-7, Jörg Prante wrote:
>
> Have you seen the Tribe Node? This is a kind of a "merged state" 
> multi-master cluster. 
>
>
> http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-tribe.html
>
> Jörg
>
>
> On Fri, Jun 27, 2014 at 1:39 AM, Matthew Parrott  > wrote:
>
>> Hi!
>>
>> Have there been any further explorations in the area of wan replication?
>>
>> I have ES clusters in multiple datacenters connected via high-speed 
>> private network. I'm wondering if multi-master replication would be 
>> possible in this environment or if we'd need some type of 'shovel' plugin 
>> like the one described here to ship data between the DCs.
>>
>> Thanks,
>> Matthew
>>
>>
>> On Tuesday, July 23, 2013 10:06:10 AM UTC-7, Jörg Prante wrote:
>>
>>> Yes, I once examined Kafka, and discovered that many components are 
>>> already there in Elasticsearch. For example, the activity stream is already 
>>> there as ES translog (if you focus on indexing operations) and the ES 
>>> gateway is a useful persistency store mechanism. What I didn't like was the 
>>> single Kafka JVM, and the Zookeeper infrastructure, it is all adding up 
>>> complexity beside ES.
>>>
>>> For cross-cluster replication, I think the best approach is distributed 
>>> log replication. This is hard, because logged ES operations must be 
>>> synchronized by an external time source (e.g. vector clocks) to use them 
>>> like a global event stream. A pubsub mechanism could then work at the 
>>> primary shards of an index in the ES node as a service, merging the 
>>> translogs for an external agent who previously subscribed to the 
>>> replication stream. The vector clock is required for a distributed time 
>>> machine like behavior (snapshots), assuming the translog is not deleted, 
>>> but stored for a certain time window.
>>>
>>> Jörg
>>>
>>>
>>> On Tue, Jul 23, 2013 at 3:55 PM, Vinicius Carvalho <
>>> vinicius...@gmail.com> wrote:
>>>
 Thanks again Jorg, so that you know I'm actually considering using 
 kafka for intra cluster replication. We want to push the index operations 
 to a topic and then other clusters on different DCs would subscribe to 
 this. Conflict resolution will be last commit will win. And in case of 
 kafka cluster failure we will append changes to a local index, and then 
 send them over as the bus is back. In the case ES cluster dies, and when 
 it 
 recovers, one nice thing on kafka is that one can request messages based 
 on 
 an offset, so we could start consuming messages from the last point the 
 cluster had consume them.

 It's all ideas I'm working right now. I'll probably have time to start 
 coding them soon. Thanks for all the support :)

 Cheers

   -- 
>> You received this message because you are subscribed to the Google Groups 
>> "elasticsearch" group.
>> To unsubscribe from this group and stop receiving emails from it, send an 
>> email to elasticsearc...@googlegroups.com .
>> To view this discussion on the web visit 
>> https://groups.google.com/d/msgid/elasticsearch/37b1c902-a74d-4c35-bc41-5e1d5e76e72d%40googlegroups.com
>>  
>> 
>> .
>> For more options, visit https://groups.google.com/d/optout.
>>
>
>

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Re: Understanding my Index using HEAD plugin

[IronMan2014]

Great. One of the stats is "deleted docs" or merge rate, this shows 18% in 
my example, it says if this number is high, it means slow I/O. 
I am not really sure if 19% is high, how can I control this number?

On Friday, June 27, 2014 11:34:32 AM UTC-4, sri wrote:
>
> hi,
>
> -for approximating the size, try doing so more test and you should be able 
> to get an idea, also the size would depend very much on the type of data 
> you are trying to index
> -elastic HQ(www.elastichq.org) will be able to provide you more incite on 
> the details of the cluster, size per index can be seen under 'node 
> diagnostics' tab.  
>
> Thanks and Regards
> Sri
>
> On Friday, June 27, 2014 11:12:32 AM UTC-4, IronMan2014 wrote:
>>
>> I am trying to understand my index (attached in screenshot) and how can I 
>> improve size and performance.
>> The goal is to index 5 million docs. So, I started small by indexing 
>> 421,000 docs as shown in the image.
>> - I am using two nodes (1 & 2) ; node 1 master 
>>
>> Q1) My index size is 3.99 GB with 421,627 docs so far, so I am guessing 
>> it will be over 40 GB with 5 million docs? Does the size sound too big? I 
>> do have store = YES for PDF docs.
>> Q2) What is the (8 GB) from the image, is this the size on the 2 nodes? 
>> Also, what is (526,428) ?
>> Q3) Should I do more nodes, more/less shards?
>>
>>

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Re: surprising scoring when using multi_match's cross_field

[Christoph Lingg]

hm, after some investigations it turns out that queryNorm is related to the 
shard. I observed that only one of the five shard has a different query 
norm, all the others have equal ones. I will retry with only one shard to 
see if things are getting better.

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Re: PHP API : Hww to change the size or records returned

[sri]

localost:9200/_search?pretty*&size=200*

On Friday, June 27, 2014 8:18:44 AM UTC-4, Stefan Kruse wrote:
>
> Hi , is use the php module. How can i change the size of records are 
> returned? Default is 10 but i need more. Is there a way? Thanks Stefan
>

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Re: Elasticsearch wont start on Ubuntu 14.04

[sri]

Hi Steven,

Change the logging level to TRACE or DEBUG and check the logs , you should 
be able to identify the problem.
Hope that helps

Thanks and Regards
Sri

On Friday, June 27, 2014 10:51:36 AM UTC-4, Steven Yue wrote:
>
> Hi, everyone
>
> I'm trying to install elasticsearch 1.2.1 on a ubuntu 14.04 server. 
>
> I used the dpkg -i to install
>
> When I run 'sudo /etc/init.d/elasticsearch start', it says: "Starting 
> Elasticsearch Server [ OK ]", but actually no process is ever started, and 
> I couldn't find any errors or any logs in the log folder(
> /var/log/elasticsearch).
>
> I tried to run 'sudo /usr/share/elasticsearch/bin/elasticsearch start' 
> directly, and it is able to start and i can get response when using curl, 
> although it gives me the following warnning:
>
> log4j:WARN No appenders could be found for logger (node).
> log4j:WARN Please initialize the log4j system properly.
> log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for 
> more info.
>
>
> I tried to edit settings in /etc/default/elasticsearch, uncommented the 
> following lines:
>
> ES_HEAP_SIZE=2g
>
> MAX_LOCKED_MEMORY=unlimited
>
> # Elasticsearch log directory
> LOG_DIR=/var/log/elasticsearch
>
> # Elasticsearch data directory
> DATA_DIR=/home/data/elasticsearch
>
> # Elasticsearch work directory
> WORK_DIR=/home/tmp/elasticsearch
>
> # Elasticsearch configuration directory
> CONF_DIR=/etc/elasticsearch
>
> # Elasticsearch configuration file (elasticsearch.yml)
> CONF_FILE=/etc/elasticsearch/elasticsearch.yml
>
> When restart the service, I did see it created the folder, but still 
> failed to run, even thought it says 'OK'
>
>
> Could anyone help me to figure out why and how to run it? Thanks
>
>
>

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Re: Understanding my Index using HEAD plugin

[sri]

hi,

-for approximating the size, try doing so more test and you should be able 
to get an idea, also the size would depend very much on the type of data 
you are trying to index
-elastic HQ(www.elastichq.org) will be able to provide you more incite on 
the details of the cluster, size per index can be seen under 'node 
diagnostics' tab.  

Thanks and Regards
Sri

On Friday, June 27, 2014 11:12:32 AM UTC-4, IronMan2014 wrote:
>
> I am trying to understand my index (attached in screenshot) and how can I 
> improve size and performance.
> The goal is to index 5 million docs. So, I started small by indexing 
> 421,000 docs as shown in the image.
> - I am using two nodes (1 & 2) ; node 1 master 
>
> Q1) My index size is 3.99 GB with 421,627 docs so far, so I am guessing it 
> will be over 40 GB with 5 million docs? Does the size sound too big? I do 
> have store = YES for PDF docs.
> Q2) What is the (8 GB) from the image, is this the size on the 2 nodes? 
> Also, what is (526,428) ?
> Q3) Should I do more nodes, more/less shards?
>
>

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corruptindexexception warn message unclear

[sri]

Hi

I am getting the below error my ES cluster quite frequently but am not able 
to understand the actual reason as to why its happening.

[2014-06-27 11:12:50,014][WARN ][cluster.action.shard ] [NES1] 
[logsjmeter62][0] received shard failed for [logsjmeter62][0], 
node[ZqO9OQ8VQ0uGkvXdIeovRg], [P], s[STARTED], indexUUID 
[EfBgCRm8SWu4AtsNPYVXyA], reason [engine failure, message [refresh 
failed][CorruptIndexException[codec mismatch: actual 
codec=Lucene41PostingsWriterDoc vs expected codec=Lucene46FieldInfos 
(resource: 
BufferedChecksumIndexInput(SlicedIndexInput(SlicedIndexInput(_39.fnm in 
MMapIndexInput(path="/data/es/NESClus/nodes/0/indices/logsjmeter62/0/index/_39.cfs"))
 
in 
MMapIndexInput(path="/data/es/NESClus/nodes/0/indices/logsjmeter62/0/index/_39.cfs")
 
zlice=7371:8755)))]]]


Thanks and Regards
Sri

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Understanding my Index using HEAD plugin

[IronMan2014]

I am trying to understand my index (attached in screenshot) and how can I 
improve size and performance.
The goal is to index 5 million docs. So, I started small by indexing 
421,000 docs as shown in the image.
- I am using two nodes (1 & 2) ; node 1 master 

Q1) My index size is 3.99 GB with 421,627 docs so far, so I am guessing it 
will be over 40 GB with 5 million docs? Does the size sound too big? I do 
have store = YES for PDF docs.
Q2) What is the (8 GB) from the image, is this the size on the 2 nodes? 
Also, what is (526,428) ?
Q3) Should I do more nodes, more/less shards?

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Elasticsearch wont start on Ubuntu 14.04

[Steven Yue]

Hi, everyone

I'm trying to install elasticsearch 1.2.1 on a ubuntu 14.04 server. 

I used the dpkg -i to install

When I run 'sudo /etc/init.d/elasticsearch start', it says: "Starting 
Elasticsearch Server [ OK ]", but actually no process is ever started, and 
I couldn't find any errors or any logs in the log folder(
/var/log/elasticsearch).

I tried to run 'sudo /usr/share/elasticsearch/bin/elasticsearch start' 
directly, and it is able to start and i can get response when using curl, 
although it gives me the following warnning:

log4j:WARN No appenders could be found for logger (node).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for 
more info.


I tried to edit settings in /etc/default/elasticsearch, uncommented the 
following lines:

ES_HEAP_SIZE=2g

MAX_LOCKED_MEMORY=unlimited

# Elasticsearch log directory
LOG_DIR=/var/log/elasticsearch

# Elasticsearch data directory
DATA_DIR=/home/data/elasticsearch

# Elasticsearch work directory
WORK_DIR=/home/tmp/elasticsearch

# Elasticsearch configuration directory
CONF_DIR=/etc/elasticsearch

# Elasticsearch configuration file (elasticsearch.yml)
CONF_FILE=/etc/elasticsearch/elasticsearch.yml

When restart the service, I did see it created the folder, but still failed 
to run, even thought it says 'OK'


Could anyone help me to figure out why and how to run it? Thanks


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[ANN] Elasticsearch Smart Chinese Analysis plugin 2.2.0 released

[Elasticsearch Team]

Heya,


We are pleased to announce the release of the Elasticsearch Smart Chinese 
Analysis plugin, version 2.2.0.

Smart Chinese Analysis plugin integrates Lucene Smart Chinese analysis module 
into elasticsearch..

https://github.com/elasticsearch/elasticsearch-analysis-smartcn/

Release Notes - elasticsearch-analysis-smartcn - Version 2.2.0



Update:
 * [22] - Replace smartcn_word and smartcn_sentence by smartcn_tokenizer 
(https://github.com/elasticsearch/elasticsearch-analysis-smartcn/issues/22)
 * [18] - Update to Lucene 4.8 / Elasticsearch 1.2.0 
(https://github.com/elasticsearch/elasticsearch-analysis-smartcn/issues/18)

New:
 * [19] - Add Lucene version in plugin.properties file 
(https://github.com/elasticsearch/elasticsearch-analysis-smartcn/issues/19)

Doc:
 * [20] - [DOCS] Fix analyzer name 
(https://github.com/elasticsearch/elasticsearch-analysis-smartcn/pull/20)


Issues, Pull requests, Feature requests are warmly welcome on 
elasticsearch-analysis-smartcn project repository: 
https://github.com/elasticsearch/elasticsearch-analysis-smartcn/
For questions or comments around this plugin, feel free to use elasticsearch 
mailing list: https://groups.google.com/forum/#!forum/elasticsearch

Enjoy,

-The Elasticsearch team

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Re: Searching by nested fields

[Danylo Vivchar]

>
> thanx, parent/child documents helped me
>

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Workaround for using wild cards in phrases and proximity searches(Elastic Search)

[saud ur rehman]

Problem: 

Recently I wanted to do a proximity search on elastic search index. I 
wanted to search all docs where ‘measles’ and ‘vaccin*’ were with 25 
characters to each other. Plus I wanted both of them to be in order. 

The elastic search proximity search wasn’t an option because of two 
reasons. 

1. Proximity search doesn’t support wildcards. e.g (“measles vaccine”)~25 
is supported but (“measles vacci*”)~25 or (“measle* vacci*”) is not 
supported. 

2. Proximity search doesn’t check the respect the order of words in phrase 
e.g (“measles vaccine”)~25 and (“vaccine measles”)~25 will give same 
results. 

Solution: 
Few examples to resolve this issue using span_near 

1. (“measles vacci*”)~25 
{ 
  "query": { 
"span_near": { 
  "clauses": [ 
{ 
  "span_or": { 
"clauses": [ 
  { 
"span_term": { 
  "text": "measles" 
} 
  } 
] 
  } 
}, 
{ 
  "span_or": { 
"clauses": [ 
  { 
"span_multi": { 
  "match": { 
"prefix": { 
  "text": { 
"value": "vacci" 
  } 
} 
  } 
} 
  } 
] 
  } 
} 
  ], 
  "slop": 25, 
  "in_order": "true”, 
  "collect_payloads": "true" 
} 
  } 
} 

// in_order can be used to toggle between ordered or unordered. 

2. “measle* vacci*” 
{ 
  "query": { 
"span_near": { 
  "clauses": [ 
{ 
  "span_or": { 
"clauses": [ 
  { 
"span_multi": { 
  "match": { 
"prefix": { 
  "text": { 
"value": "measle" 
  } 
} 
  } 
} 
  } 
] 
  } 
}, 
{ 
  "span_or": { 
"clauses": [ 
  { 
"span_multi": { 
  "match": { 
"prefix": { 
  "text": { 
"value": "vacci" 
  } 
} 
  } 
} 
  } 
] 
  } 
} 
  ], 
  "slop": 0, 
  "in_order": "true", 
  "collect_payloads": "true" 
} 
  } 
} 

3. Grouping. Now lets assume you want to find all docs where (canada OR 
toronto OR “North york”) NEAR (measles OR vaccin*). And they should be near 
to each other by 30 characters. 
{ 
  "query": { 
"span_near": { 
  "clauses": [ 
{ 
  "span_or": { 
"clauses": [ 
  { 
"span_near": { 
  "clauses": [ 
{ 
  "span_term": { 
"text": "North" 
  } 
}, 
{ 
  "span_term": { 
"text": "york" 
  } 
} 
  ], 
  "slop": 0, 
  "in_order": "true", 
  "collect_payloads": "true" 
} 
  }, 
  { 
"span_term": { 
  "text": "toronto" 
} 
  }, 
  { 
"span_term": { 
  "text": "canada" 
} 
  } 
] 
  } 
}, 
{ 
  "span_or": { 
"clauses": [ 
  { 
"span_term": { 
  "text": "measles" 
} 
  }, 
  { 
"span_multi": { 
  "match": { 
"prefix": { 
  "text": { 
"value": "vaccin" 
  } 
} 
  } 
} 
  } 
] 
  } 
} 
  ], 
  "slop": 30, 
  "in_order": "false", 
  "collect_payloads": "true" 
} 
  } 
} 



If any one knows better solution than this one please comment. Any 
suggestions how I can build a parser to take query from user e.g (quick AND 
near(foxes OR rats, toronto OR ontario, 30)) and convert that to elastic 
search span_near using above workaround. Boolean operators and parenthesis 
precedence is what I am finding hard to handle. Any open source PHP library 
which can help me change user written queries with parenthesis and boolean 
operator  to ES filters. 

@shay banon, @ steven @uri: any plans to have such operator support in the 
query_string 

References: 

http://www.elasticsearch.org/guide/en/elasticsearch/reference/0.90/query-dsl-span-near-query.html

http://www.elasticsearch.org/gu

Re: surprising scoring when using multi_match's cross_field

[Christoph Lingg]

Another effect I do not understand ist the queryNorm which differs between 
documents, reading the documents I assumed them to be constant.
>From the lucene documentation 

:

> queryNorm(q) is a normalizing factor used to make scores between queries 
> comparable. This factor does not affect document ranking (since all ranked 
> documents are multiplied by the same factor), but rather just attempts to 
> make scores from different queries (or even different indexes) comparable.
>
this is from the scoring of the first results
{
   "value": 0.0059806756,
   "description": "queryNorm"
}
 
others have:
{
   "value": 0.0031318406,
   "description": "queryNorm"
}

as the queryNorm finally _does_ affect document ranking i am asking myself 
if i am doing something wrong ...

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Setting script.disable_dynamic fails

[joe castle]

Hi,

After upgrading from 90.5 to 1.2.1, I try to set 

script.disable_dynamic: false

in elasticsearch.yml but it seems that elasticsearch does not recognize it 
as a valid setting. Normally it is ignored and if I set it as the first 
line in the .yml file (and restart the node) the node does not start at 
all, nothing in the logs either. 

Any ideas? 

PS. I tested the setting on a fresh 1.2.1 install and it worked just fine...

Thanks

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surprising scoring when using multi_match's cross_field

[Christoph Lingg]

Hello!

I am using the multi_match's cross_field 

 query. 
It works very well and is exactly what I need. However, in some rare 
circumstances the order of the results doesn't match my expectations. It 
turns out that the scoring of the first results is much higher than the 
score of the rest of the documents. I had a closer look at the explain 
statements and was surprised by the way the scores were calculated:

for the first doc:
{
   "value": 8.252264,
   "description": "fieldWeight in 998806, product of:",
   "details": [
  {
 "value": 1,
 "description": "tf(freq=1.0), with freq of:",
 "details": [
{
   "value": 1,
   "description": "termFreq=1.0"
}
 ]
  },
  {
 "value": 8.252264,
 "description": "idf(docFreq=13182, maxDocs=18605118)"
  },
  {
 "value": 1,
 "description": "fieldNorm(doc=998806)"
  }
   ]
}

and for the doc that is supposed to be first:
{
   "value": 3.8485851,
   "description": "score(doc=700068,freq=1.0 = termFreq=1.0\n), product 
of:",
   "details": [
  {
 "value": 0.46578622,
 "description": "queryWeight, product of:",
 "details": [
{
   "value": 18,
   "description": "boost"
},
{
   "value": 8.262557,
   "description": "idf(docFreq=13047, maxDocs=18605118)"
},
{
   "value": 0.0031318406,
   "description": "queryNorm"
}
 ]
  },
  {
 "value": 8.262557,
 "description": "fieldWeight in 700068, product of:",
 "details": [
{
   "value": 1,
   "description": "tf(freq=1.0), with freq of:",
   "details": [
  {
 "value": 1,
 "description": "termFreq=1.0"
  }
   ]
},
{
   "value": 8.262557,
   "description": "idf(docFreq=13047, maxDocs=18605118)"
},
{
   "value": 1,
   "description": "fieldNorm(doc=700068)"
}
 ]
  }
   ]
}

You can see that the queryWeight factor is missing in the calculation of 
the first doc, which leads to a much higher total score. I am no expert in 
it, but this seems to be a bug in my eyes. Or did I misunderstand something?

You can find the query and the result list here: 
https://gist.github.com/christophlingg/0014ba3d6d334a27cccd

Thanks for your help!

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Re: Why does the TransportClient depend on Lucene core?

[David Pilato]

The TransportClient is part of the full elasticsearch distribution.
We don't have another official client for that.

If you really need to have another Lucene version in your class path, I'm 
afraid you need to use HTTP REST Layer and not Transport layer.

May be you should look at JEST in that case? 
http://www.elasticsearch.org/guide/en/elasticsearch/client/community/current/clients.html#community-java

-- 
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@dadoonet | @elasticsearchfr


Le 27 juin 2014 à 13:32:55, Jeroen Reijn (j.re...@1hippo.com) a écrit:

Hi all,

while trying to use the TransportClient to connect to a remote elasticsearch 
cluster in a project that already contains Lucene libraries it fails to create 
a client connection with the following error.



[INFO] [talledLocalContainer] Jun 27, 2014 12:43:53 PM 
org.apache.catalina.core.StandardContext loadOnStartup
[INFO] [talledLocalContainer] SEVERE: Servlet /app threw load() exception
[INFO] [talledLocalContainer] at 
org.elasticsearch.Version.(Version.java:119)
[INFO] [talledLocalContainer] at 
org.elasticsearch.client.transport.TransportClient.(TransportClient.java:169)
[INFO] [talledLocalContainer] at 
org.elasticsearch.client.transport.TransportClient.(TransportClient.java:125)


Caused by: java.lang.NoSuchFieldError: LUCENE_41




I guess this has to do with the assignment of 

Version version = Version.CURRENT;


Is there a particular reason why the transport client depends on the Lucene 
core library which contains the versions?

Is there a way I can work around this besides not having the old lucene 
libraries in my classpath?

Kind regards,

Jeroen
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Re: Exact duplicate results (same _id) for a search query. Is this a bug?

[joergpra...@gmail.com]

Maybe a segment-level effect. Will this disappear after optimizing the
index?

Do you have replica level > 0 ?

Jörg


On Fri, Jun 27, 2014 at 2:27 PM, Daniel Winterstein <
daniel.winterst...@gmail.com> wrote:

> Hello,
>
> I have an elasticsearch index which is returning two identical results. I
> don't mean 2 copies of a similar document. These results have the same
> elasticsearch _id.
>
> Details below.
>
> Does anyone know why this happens?
> Is it a bug?
>
> Best regards,
>  - Daniel
>
>
> Version: 1.2.1
>
> Query: http://localhost:9200/workspace/group/_search?q=winterwell
>
> Result:
>
> {
>
>- took: 8,
>- timed_out: false,
>- _shards:
>{
>   - total: 5,
>   - successful: 5,
>   - failed: 0
>   },
>- hits:
>{
>   - total: 2,
>   - max_score: 0.89743817,
>   - hits:
>   [
>  -
>  {
> - _index: "workspace",
> - _type: "group",
> - _id: "winterwell@DBGroup",
> - _score: 0.89743817,
> - _source:
> {
>- name: "winterwell",
>- tags: { },
>- ...some details skipped...
>}
> },
>  -
>  {
> - _index: "workspace",
> - _type: "group",
> - _id: "winterwell@DBGroup",
> - _score: 0.89743817,
> - _source:
> {
>- name: "winterwell",
>- tags: { },
>- ...some details skipped...
>}
> }
>  ]
>   }
>
> }
>
>
> --
> Dr Daniel Winterstein
> Director
>
> A: CodeBase Argyle House, Edinburgh, EH3 9DR
> M: +44 (0)772 5172 612
> http://winterwell.com   http://sodash.com
>
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> .
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Re: Exact duplicate results (same _id) for a search query. Is this a bug?

[Itamar Syn-Hershko]

Is this 1 Elasticsearch instance running locally or do multiple servers /
nodes participate?

--

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http://code972.com | @synhershko 
Freelance Developer & Consultant
Author of RavenDB in Action 


On Fri, Jun 27, 2014 at 3:27 PM, Daniel Winterstein <
daniel.winterst...@gmail.com> wrote:

> Hello,
>
> I have an elasticsearch index which is returning two identical results. I
> don't mean 2 copies of a similar document. These results have the same
> elasticsearch _id.
>
> Details below.
>
> Does anyone know why this happens?
> Is it a bug?
>
> Best regards,
>  - Daniel
>
>
> Version: 1.2.1
>
> Query: http://localhost:9200/workspace/group/_search?q=winterwell
>
> Result:
>
> {
>
>- took: 8,
>- timed_out: false,
>- _shards:
>{
>   - total: 5,
>   - successful: 5,
>   - failed: 0
>   },
>- hits:
>{
>   - total: 2,
>   - max_score: 0.89743817,
>   - hits:
>   [
>  -
>  {
> - _index: "workspace",
> - _type: "group",
> - _id: "winterwell@DBGroup",
> - _score: 0.89743817,
> - _source:
> {
>- name: "winterwell",
>- tags: { },
>- ...some details skipped...
>}
> },
>  -
>  {
> - _index: "workspace",
> - _type: "group",
> - _id: "winterwell@DBGroup",
> - _score: 0.89743817,
> - _source:
> {
>- name: "winterwell",
>- tags: { },
>- ...some details skipped...
>}
> }
>  ]
>   }
>
> }
>
>
> --
> Dr Daniel Winterstein
> Director
>
> A: CodeBase Argyle House, Edinburgh, EH3 9DR
> M: +44 (0)772 5172 612
> http://winterwell.com   http://sodash.com
>
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> 
> .
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>

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Exact duplicate results (same _id) for a search query. Is this a bug?

[Daniel Winterstein]

Hello,

I have an elasticsearch index which is returning two identical results. I 
don't mean 2 copies of a similar document. These results have the same 
elasticsearch _id.

Details below.

Does anyone know why this happens?
Is it a bug?

Best regards,
 - Daniel


Version: 1.2.1

Query: http://localhost:9200/workspace/group/_search?q=winterwell

Result:

{
   
   - took: 8,
   - timed_out: false,
   - _shards: 
   {
  - total: 5,
  - successful: 5,
  - failed: 0
  },
   - hits: 
   {
  - total: 2,
  - max_score: 0.89743817,
  - hits: 
  [
 - 
 {
- _index: "workspace",
- _type: "group",
- _id: "winterwell@DBGroup",
- _score: 0.89743817,
- _source: 
{
   - name: "winterwell",
   - tags: { },
   - ...some details skipped...
   }
},
 - 
 {
- _index: "workspace",
- _type: "group",
- _id: "winterwell@DBGroup",
- _score: 0.89743817,
- _source: 
{
   - name: "winterwell",
   - tags: { },
   - ...some details skipped...
   }
}
 ]
  }
   
}


-- 
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Director

A: CodeBase Argyle House, Edinburgh, EH3 9DR
M: +44 (0)772 5172 612
http://winterwell.com   http://sodash.com

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PHP API : Hww to change the size or records returned

[Stefan Kruse]

Hi , is use the php module. How can i change the size of records are 
returned? Default is 10 but i need more. Is there a way? Thanks Stefan

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Re: Phrase Match Query Problem

[Shawn Ritchie]

So I did some more digging into the problem and apparently the problem is 
not with the Phase Query but with the Analyser being user on the _all 
field. When an Analyser is specified no results are returned but when I 
omit the Analyser I get the expected results.

So the question is what is exactly happening internally on the _all field 
is it using the standard analyser? is it not analysed?

On Friday, 27 June 2014 10:38:39 UTC+2, Shawn Ritchie wrote:
>
> Hi Guys,
>
> For some reason when I do the following Phrase Match query I do not get 
> any results does anyone mind explaining why this is happening? 
>
> Below one can find the mapping and query being used
>
>  "settings": {
>>
>>  "analysis": {
>>
>>  "filter": {
>>
>>  "token_ngrams": {
>>
>>  "min_shingle_size": 2,
>>
>>  "max_shingle_size": 4,
>>
>>  "type": "shingle"
>>
>>  },
>>
>>  "synoynm_filter": {
>>
>>  "synonyms_path": ".. path ...",
>>
>>  "type": "synonym"
>>
>>  }
>>
>>  },
>>
>>  "analyzer": {
>>
>>  "title_analyzer": {
>>
>>  "filter": ["standard", "lowercase", "asciifolding", 
>>> "synoynm_filter", "porter_stem", "token_ngrams"],
>>
>>  "type": "custom",
>>
>>  "tokenizer": "standard"
>>
>>  }
>>
>>  }
>>
>>  }
>>
>>  }
>>
>>  
>>
>> 
>>
>>  "match": {
>>
>>  "_all": {
>>
>>  "query": "CompassMD is a SaaS platform",
>>
>>  "type": "phrase",
>>
>>  "analyzer": "title_analyzer"
>>
>>  }
>>
>>  }
>>
>>

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Error for elasticsearch php api

[Stefan Kruse]

Hi, i try to use the es php module. I can indexing documents but when i 
search for something i got an error and dont know what this mean. I use 
this script:

 'abc');

$params['index'] = 'my_index';
$params['type']  = 'my_type';
$params['id']= 'my_id';

// Document will be indexed to my_index/my_type/my_id
$ret = $client->index($params);

/**
 *SEARCH
 **/
$params['index'] = 'my_index';
$params['type']  = 'my_type';

$results = $client->search($params);

?>

AND THE ERROR MESSAGE IS:

*Fatal error*: Uncaught exception 
'Elasticsearch\Common\Exceptions\UnexpectedValueException' with message 'id 
is not a valid parameter' in 
/var/www/vendor/elasticsearch/elasticsearch/src/Elasticsearch/Endpoints/AbstractEndpoint.php:263
 
Stack trace: #0 
/var/www/vendor/elasticsearch/elasticsearch/src/Elasticsearch/Endpoints/AbstractEndpoint.php(239):
 
Elasticsearch\Endpoints\AbstractEndpoint->ifParamsInvalidThrowException(Array) 
#1 
/var/www/vendor/elasticsearch/elasticsearch/src/Elasticsearch/Endpoints/AbstractEndpoint.php(115):
 
Elasticsearch\Endpoints\AbstractEndpoint->checkUserParams(Array) #2 
/var/www/vendor/elasticsearch/elasticsearch/src/Elasticsearch/Client.php(1009): 
Elasticsearch\Endpoints\AbstractEndpoint->setParams(Array) #3 
/var/www/awesome/index.php(23): Elasticsearch\Client->search(Array) #4 
{main} thrown in 
*/var/www/vendor/elasticsearch/elasticsearch/src/Elasticsearch/Endpoints/AbstractEndpoint.php*
 
on line 


*263Maybe someone knows what this could be. Thanks a lot for helping. 
Stefan*

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Why does the TransportClient depend on Lucene core?

[Jeroen Reijn]

Hi all,

while trying to use the TransportClient to connect to a remote 
elasticsearch cluster in a project that already contains Lucene libraries 
it fails to create a client connection with the following error.



[INFO] [talledLocalContainer] Jun 27, 2014 12:43:53 PM org.apache.catalina.
core.StandardContext loadOnStartup
[INFO] [talledLocalContainer] SEVERE: Servlet /app threw load() exception
[INFO] [talledLocalContainer] at org.elasticsearch.Version.(Version.
java:119)
[INFO] [talledLocalContainer] at org.elasticsearch.client.transport.
TransportClient.(TransportClient.java:169)
[INFO] [talledLocalContainer] at org.elasticsearch.client.transport.
TransportClient.(TransportClient.java:125)


Caused by: java.lang.NoSuchFieldError: LUCENE_41




I guess this has to do with the assignment of 

Version version = Version.CURRENT;


Is there a particular reason why the transport client depends on the Lucene 
core library which contains the versions?

Is there a way I can work around this besides not having the old lucene 
libraries in my classpath?

Kind regards,

Jeroen

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Re: significant terms aggregation too slow for me

[Mark Harwood]

Hi Srini,

(and apologies for the delay in replying - only just spotted this message)

There is indeed a level of caching in the design where all of the terms for 
a field are loaded into RAM using FieldData. This lets us lookup the terms 
in individual docs very quickly.
However, the stats required for looking up how frequently terms occur in 
the background (typically your corpus) are hitting the Lucene APIs to read 
frequencies from the Lucene index on disk. Generally the cost of doing this 
will be a multiple of how many unique terms are in your result set.

We are currently looking at ways of improving this and for now one approach 
may be for you to limit the size of the result set being presented to the 
sig_terms agg for analysis. Generally speaking the quality of suggestions 
can still be good on smaller (but not too small) sets of relevant results 
and arguably the quality of suggestions can go down if the agg is analysing 
result sets that include a long-tail of garbage.

Hope this makes sense
Mark
 


On Thursday, May 29, 2014 6:21:01 PM UTC+1, Srinivasan Ramaswamy wrote:
>
> I am trying to use the significant terms aggregation feature, but its 
> making the search very slow. Is there any optimization that i can do to 
> make it faster ? I have an index with 24 shards and 1 replica, where each 
> shard size is 2.5G. With the significant terms feature turned on many 
> searches take ~5s (even when the same search is repeated), with this 
> feature disabled it takes only ~150ms.
>
> I am using it like the following 
>
> SearchRequestBuilder srb = ...;
> SignificantTermsBuilder tags = 
> significantTerms("st_name").field("tags").size(11);
> srb.addAggregation(tags);
>
>
> Does any one have any hints at how to optimize this feature ? Is there 
> some level of caching involved in this feature ? If it does it shouldnt 
> take ~5s when the same query is executed again and again, isnt it ?
>
> Thanks
> Srini
>

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Re: Notifications from Elasticsearch when documents are added.

[joergpra...@gmail.com]

Have you seen the Tribe Node? This is a kind of a "merged state"
multi-master cluster.

http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-tribe.html

Jörg


On Fri, Jun 27, 2014 at 1:39 AM, Matthew Parrott 
wrote:

> Hi!
>
> Have there been any further explorations in the area of wan replication?
>
> I have ES clusters in multiple datacenters connected via high-speed
> private network. I'm wondering if multi-master replication would be
> possible in this environment or if we'd need some type of 'shovel' plugin
> like the one described here to ship data between the DCs.
>
> Thanks,
> Matthew
>
>
> On Tuesday, July 23, 2013 10:06:10 AM UTC-7, Jörg Prante wrote:
>
>> Yes, I once examined Kafka, and discovered that many components are
>> already there in Elasticsearch. For example, the activity stream is already
>> there as ES translog (if you focus on indexing operations) and the ES
>> gateway is a useful persistency store mechanism. What I didn't like was the
>> single Kafka JVM, and the Zookeeper infrastructure, it is all adding up
>> complexity beside ES.
>>
>> For cross-cluster replication, I think the best approach is distributed
>> log replication. This is hard, because logged ES operations must be
>> synchronized by an external time source (e.g. vector clocks) to use them
>> like a global event stream. A pubsub mechanism could then work at the
>> primary shards of an index in the ES node as a service, merging the
>> translogs for an external agent who previously subscribed to the
>> replication stream. The vector clock is required for a distributed time
>> machine like behavior (snapshots), assuming the translog is not deleted,
>> but stored for a certain time window.
>>
>> Jörg
>>
>>
>> On Tue, Jul 23, 2013 at 3:55 PM, Vinicius Carvalho > > wrote:
>>
>>> Thanks again Jorg, so that you know I'm actually considering using kafka
>>> for intra cluster replication. We want to push the index operations to a
>>> topic and then other clusters on different DCs would subscribe to this.
>>> Conflict resolution will be last commit will win. And in case of kafka
>>> cluster failure we will append changes to a local index, and then send them
>>> over as the bus is back. In the case ES cluster dies, and when it recovers,
>>> one nice thing on kafka is that one can request messages based on an
>>> offset, so we could start consuming messages from the last point the
>>> cluster had consume them.
>>>
>>> It's all ideas I'm working right now. I'll probably have time to start
>>> coding them soon. Thanks for all the support :)
>>>
>>> Cheers
>>>
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configure analyzer with java api problem

[Helennie Nie]

Hi there
A field in my documents is a url like : 
http://search.ehaier.com/_bpocbmuwbjulbfxy-se.html
and I set my analyzer as keyword analyzer with java api, but when I use 
aggregation to calculate the sum of urls, it returns the number of terms in 
the url, like :
"key":"http"
"doc_count": 29662
 
what i want is store the whole url as a term, I tried to set the analyzer, 
but it dosent work at all
 
here are the related codes:
 
set analyzer as keyword analyzer:
 
UpdateSettingsRequestBuilder settingsRequest = 
client.admin().indices().prepareUpdateSettings(); 
 client.admin().indices().prepareCreate("lzhd")

.setSettings(ImmutableSettings.settingsBuilder().loadFromSource(jsonBuilder()
.startObject()
.startObject("analysis")
.startObject("analyzer")
.startObject("keywordAnalyzer")
.field("type", "keyword")
.endObject()
.endObject()
.endObject()
.endObject().string()))
.execute().actionGet();
 
 
json for aggregation:
 
GET _search
{
"aggs":{
"user_visited":{
"terms":{
"field":"url"
}
}
}
}
 
 
some resualts:
"aggregations": {
  "user_visited": {
 "buckets": [
{
   "key": "http",
   "doc_count": 29662
},
{
   "key": "html",
   "doc_count": 16202
},
 
 
 

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Phrase Match Query Problem

[Shawn Ritchie]

Hi Guys,

For some reason when I do the following Phrase Match query I do not get any 
results does anyone mind explaining why this is happening? 

Below one can find the mapping and query being used

 "settings": {
>
>  "analysis": {
>
>  "filter": {
>
>  "token_ngrams": {
>
>  "min_shingle_size": 2,
>
>  "max_shingle_size": 4,
>
>  "type": "shingle"
>
>  },
>
>  "synoynm_filter": {
>
>  "synonyms_path": ".. path ...",
>
>  "type": "synonym"
>
>  }
>
>  },
>
>  "analyzer": {
>
>  "title_analyzer": {
>
>  "filter": ["standard", "lowercase", "asciifolding", 
>> "synoynm_filter", "porter_stem", "token_ngrams"],
>
>  "type": "custom",
>
>  "tokenizer": "standard"
>
>  }
>
>  }
>
>  }
>
>  }
>
>  
>
> 
>
>  "match": {
>
>  "_all": {
>
>  "query": "CompassMD is a SaaS platform",
>
>  "type": "phrase",
>
>  "analyzer": "title_analyzer"
>
>  }
>
>  }
>
>

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Re: [Aggregation] Be able to count number of item in a sub-collection

[Grégoire Pineau]

Yes and no ;) Because I would like to be able to also filter node in the 
collection. And then cound.
Actually, the collection contains orders, and I want to be able to know how 
many paid order I get for a user.

On Friday, June 27, 2014 8:40:49 AM UTC+2, Timber wrote:
>
> Could you not add a count of items in the collection at index time? In 
> this case you could filter on this value. 

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Re: How to use first aggregations result in second aggreagation

[David Pilato]

You have to add a new aggs inside the previous agg.

Something like (but with another dataset then yours):

GET person/_search
{
  "size": 0,
  "aggs": {
    "by_year": {
      "date_histogram": {
        "field": "dateOfBirth",
        "interval": "year"
      },
      "aggs": {
        "by_gender": {
          "terms": {
            "field": "gender",
            "size": 10
          },
          "aggs": {
            "children": {
              "avg": {
                "field": "children"
              }
            }
          }
        }
      }
    }
  }
}

-- 
David Pilato | Technical Advocate | Elasticsearch.com
@dadoonet | @elasticsearchfr


Le 27 juin 2014 à 10:12:06, Swarna M (mvswarn...@gmail.com) a écrit:

Hello,

I ran a date histogram aggregation on my time series data set and got results 
like 
      

"aggregations": {
      "hitsperfiveminute": {
         "buckets": [
           {
               "key_as_string": "09/Dec/2013:16:50:00",
               "key": 138660780,
               "doc_count": 23620
            },
            {
               "key_as_string": "09/Dec/2013:16:55:00",
               "key": 138660810,
               "doc_count": 2377
            },
            {
               "key_as_string": "09/Dec/2013:17:00:00",
               "key": 138660840,
               "doc_count": 3995
            }]}}

Now, I intend to put a range aggregation on the doc count in each bucket so as 
to finally get
 "aggregations": {
      "hitsrange": {
         "buckets": [
            {
               "from": 0,
               "to": 1,
               "doc_count": 2
            },
            {
               "from": 1,
               "to": 5,
               "doc_count": 1
            }
         ]
      }
   }


Please help me get this operation done in a single query.

Thanks and Regards
Swarna
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How to use first aggregations result in second aggreagation

[Swarna M]

Hello,

I ran a date histogram aggregation on my time series data set and got 
results like 
  

"aggregations": {
  "hitsperfiveminute": {
 "buckets": [
   {
   "key_as_string": "09/Dec/2013:16:50:00",
   "key": 138660780,
   "doc_count": 23620
},
{
   "key_as_string": "09/Dec/2013:16:55:00",
   "key": 138660810,
   "doc_count": 2377
},
{
   "key_as_string": "09/Dec/2013:17:00:00",
   "key": 138660840,
   "doc_count": 3995
}]}}

Now, I intend to put a range aggregation on the doc count in each bucket so 
as to finally get
 "aggregations": {
  "hitsrange": {
 "buckets": [
{
   "from": 0,
   "to": 1,
   "doc_count": 2
},
{
   "from": 1,
   "to": 5,
   "doc_count": 1
}
 ]
  }
   }


Please help me get this operation done in a single query.

Thanks and Regards
Swarna

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Logstash/Elasticsearch crash - old indicies not available anymore

[Peter Gastinger]

Hi, 

I recently upgraded my logstash/elasticsearch/kibana-installation to 1.4.2 
with elasticsearch 1.1.1 on a RHEL6.5. During the last couple of days, 
logstash and elasticsearch crashed (java heap space). The problem is, after 
restarting logstash (with embedded elasticsearch) my old indices are not 
there anymore. They are still there at the operating system level, but 
elasticsearch does not show them anymore. 

Is there any way to let elasticsearch rediscover them? Thanks!

best regards, 
Peter

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