Hi Adrien,

I'm using OSX (Mavericks) and java: (having the issue)

$ java -version
java version "1.7.0_25"
Java(TM) SE Runtime Environment (build 1.7.0_25-b15)
Java HotSpot(TM) 64-Bit Server VM (build 23.25-b01, mixed mode)

My colleague is running OSX (Lion) and java: (having the issue)

$ java -version
java version "1.6.0_26"
Java(TM) SE Runtime Environment (build 1.6.0_26-b03-383-11D50)
Java HotSpot(TM) 64-Bit Server VM (build 20.1-b02-383, mixed mode)

A server soon to be used for production Ubuntu 12.04 LTS with java: (Not 
having the issue)

$ java -version
java version "1.7.0_45"
Java(TM) SE Runtime Environment (build 1.7.0_45-b18)
Java HotSpot(TM) 64-Bit Server VM (build 24.45-b08, mixed mode)

Could this be an issue with java on OSX than?

On Wednesday, February 5, 2014 4:38:36 PM UTC+1, Adrien Grand wrote:
>
> I didn't manage to reproduce the issue locally either. What JVM / OS are 
> you using (RC1 introduced Unsafe to perform String comparisons in terms 
> aggs so I'm wondering if that could be related to your issue)?
>
>
> On Wed, Feb 5, 2014 at 4:33 PM, Nils Dijk <[email protected] <javascript:>>wrote:
>
>> I did only test it with 1 and with 10 shards, indeed with 1 shard it did 
>> not have any issues, with 10 shards it has issues all the time.
>> I also had a colleague testing it with the two scripts in the gist (which 
>> uses 10 shards).
>>
>> Also I do not think the analyzer _should_ have impact, since it would 
>> only index more terms on that field if it tokenizes it. Can you use the 
>> aggsbug.load.sh to load the data? And than use aggsbug.test.sh to run 
>> the test? It should give you a field analyzed with the default analyzer and 
>> 10 shards.
>>
>> I'll try out some different analyzers, and loading the data in 3 shards 
>> now to see if that changes things.
>>
>> On Wednesday, February 5, 2014 4:02:54 PM UTC+1, Jörg Prante wrote:
>>>
>>> Also the same with shards = 3 and analyzer = standard. Stable results.
>>>
>>> {
>>>   "took" : 240,
>>>   "timed_out" : false,
>>>   "_shards" : {
>>>     "total" : 3,
>>>     "successful" : 3,
>>>     "failed" : 0
>>>   },
>>>   "hits" : {
>>>     "total" : 1060387,
>>>     "max_score" : 0.0,
>>>     "hits" : [ ]
>>>   },
>>>   "aggregations" : {
>>>     "a" : {
>>>       "buckets" : [ {
>>>         "key" : "totaltrafficbos",
>>>         "doc_count" : 3599
>>>       }, {
>>>         "key" : "mai93thm",
>>>         "doc_count" : 2517
>>>       }, {
>>>         "key" : "mai90thm",
>>>         "doc_count" : 2207
>>>       }, {
>>>         "key" : "mai95thm",
>>>         "doc_count" : 2207
>>>       }, {
>>>         "key" : "totaltrafficnyc",
>>>         "doc_count" : 1660
>>>       }, {
>>>         "key" : "confessions",
>>>         "doc_count" : 1534
>>>       }, {
>>>         "key" : "incidentreports",
>>>         "doc_count" : 1468
>>>       }, {
>>>         "key" : "nji80thm",
>>>         "doc_count" : 1180
>>>       }, {
>>>         "key" : "pai76thm",
>>>         "doc_count" : 1142
>>>       }, {
>>>         "key" : "txi35thm",
>>>         "doc_count" : 379
>>>       } ]
>>>     }
>>>   }
>>> }
>>>
>>> You should examine your log files if your ES cluster was able to process 
>>> all the docs correctly while indexing or searching, maybe you encountered 
>>> OOMs or other subtle issues.
>>>
>>> Jörg
>>>
>>>
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>
>
>
> -- 
> Adrien Grand
>  

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