No, for two reasons:

1.  I am using the exact same code and data on both machines.

2.  I've seen duplicates in the past and I get an error message.

Thanks.

Blake


On Friday, May 1, 2015 at 2:50:57 PM UTC-5, David Pilato wrote:
>
> Any chance you are using the same id multiple times?
>
>
> -- 
> *David Pilato* - Developer | Evangelist 
> *elastic.co <http://elastic.co>*
> @dadoonet <https://twitter.com/dadoonet> | @elasticsearchfr 
> <https://twitter.com/elasticsearchfr> | @scrutmydocs 
> <https://twitter.com/scrutmydocs>
>
>
>
>
>  
> Le 1 mai 2015 à 21:25, Blake McBride <blak...@gmail.com <javascript:>> a 
> écrit :
>
> I changed the code to read:
>
>
> var counter = 0;
>
> exports.addDoc = function (index, type, id, doc, callback) {
>     if (client !== undefined) {
>         var json = {
>             index: index,
>             type: type,
>             id: id,
>             body: doc
>         };
>         if (counter++ % 1000 === 0) {
>             console.log('Adding document #' + counter);
>         }
>         client.create(json, callback);
>     } else if (callback !== undefined) {
>         callback('elastic search not connected', undefined);
>     }
> };
>
>
> The last printout reads:  Adding document #53001
>
>
> The code that does the error check looks like:
>
>
> esUtils.addDoc(esIndex, 'component', compObj.id, doc, function (err, 
> response, status) {
>     if (err !== undefined || status !== 201 || response.created !== true) {
>         console.log('Unexpected ES response: ' + status + ' ' + err + 
> response.created);
>     }
> });
>
>
> I never see that message.  Finally, after the above I get:
>
>
> $ curl -s -XPOST  'http://localhost:9200/components/_count'
> {"count":10500,"_shards":{"total":5,"successful":5,"failed":0}}
>
>
>
> Thanks for the help!
>
>
>
>
> On Friday, May 1, 2015 at 1:57:42 PM UTC-5, David Pilato wrote:
>>
>> Could you add a counter in your JS app to make sure you sent all docs?
>>
>> I suspect something wrong in your index process 
>>
>> --
>> David ;-)
>> Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs
>>
>> Le 1 mai 2015 à 20:40, Blake McBride <blak...@gmail.com> a écrit :
>>
>> The log only contains:
>>
>> [2015-05-01 18:22:10,398][INFO ][cluster.metadata         ] 
>> [mmsapp-na-component] [components-1430504530354] creating index, cause 
>> [api], templates [], shards [5]/[1], mappings [index_name, component]
>>
>> Each document is being added individually from JavaScript via:
>>
>> exports.addDoc = function (index, type, id, doc, callback) {
>>     if (client !== undefined) {
>>         var json = {
>>             index: index,
>>             type: type,
>>             id: id,
>>             body: doc
>>         };
>>         client.create(json, callback);
>>     } else if (callback !== undefined) {
>>         callback('elastic search not connected', undefined);
>>     }
>> };
>>
>>
>>
>>
>> On Friday, May 1, 2015 at 11:42:12 AM UTC-5, David Pilato wrote:
>>>
>>> If you have nothing in logs it could mean that you have an issue with 
>>> your injector.
>>> May be you are using bulk but you don't check the bulk response?
>>>
>>> David
>>>
>>> Le 1 mai 2015 à 18:36, Blake McBride <blak...@gmail.com> a écrit :
>>>
>>> Greetings,
>>>
>>> I have two similar but unrelated machines.  I am adding 50,000+ 
>>> documents to each.  Afterwards, one shows the 50,000+ documents and the 
>>> other only shows 10,500.  The second machine seems to be capping out at 
>>> 10,500.  Why, and how can I correct this?  The relevant facts are as 
>>> follows:
>>>
>>> 1.  Both machines are current 64 bit Linux machines with at least 8GB of 
>>> RAM and more than sufficient disk space.
>>>
>>> 2.  Both have current 64 bit Java 7 and elasticsearch 1.5.1.  ES is 
>>> running local to each machine.
>>>
>>> 3.  Both machines are running the exact same program to load up ES. 
>>>  Each has nearly default ES config files (just different names).
>>>
>>> 4.  The program keeps a counter of the number of times documents are 
>>> added to ES, and the return codes of each add is checked.  Both are 50,000+.
>>>
>>> 5.  When I do a the same query on each machine with curl, the good 
>>> machine shows a max_score of 8.2, the bad machine shows .499 - remember, 
>>> same set of documents and same search query.
>>>
>>>
>>> I've spent a day on this, and I am running out of ideas.  Any help would 
>>> sure be appreciated.
>>>
>>> Blake McBride
>>>
>>>
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