And this is what I don't understand!

I tried that, and did an exclude on types 1,2 &3 and the result was nothing!
No missing and no 'other values'

The filters I did were of the form:
must not
field: _type
value: type1

I have just found something that might explain it to someone who 
understands this stuff!

If I filter to MATCH on 'field: _type' = 'type2' or 'type3' then the "other 
values" is 0

However if I filter on 'type1' then I get my 4 billion other values, so it 
is something to do with 'type1'

eg;
must 
field: _type
value: type1

Term           Count    
type1          2142281401
Missing field           0
Other values   4294967296


With that in mind, how do I now troubleshoot further? I still don't 
understand.



On Wednesday, September 24, 2014 7:26:53 AM UTC+1, David Pilato wrote:
>
> It basically means that in your "type" field you have a lot of 1, 2 and 3
> And a lot of other values which are not 1, 2 or 3.
>
> But this is obvious.
>
> I guess you asked Kibana to give you only the TOP 3 values?
> Try with 10 or 20 and you will See what other values could look like.
>
> Also in Kibana, you can add a table panel and add filters which exclude 
> type 1, type 2 and type 3.
> So you will see your related documents in table panel.
>
> HTH 
>
> --
> David ;-)
> Twitter : @dadoonet / @elasticsearchfr / @scrutmydocs
>
>
> Le 24 sept. 2014 à 08:17, [email protected] <javascript:> a écrit :
>
> I have loaded 3 <types> of data onto my 4-node ES cluster using logstash. 
> Everything seems to have worked nicely.
>
> Stats are:
> 7,545,866,876 documents
> 58 indices
> 232 shards
> 4.7TB
>
> However when I look at the data with Kibana I see the 3 types and a huge 
> number of 'other values'.
>
> Document types:
> term '1'        2,142,281,401
> term '2'        1,077,175,717
> term '3'           31,442,462
> Missing field               0
> Other values    4,294,967,296
>
> What is that 'other values' all about? Can anyone explain what it is and 
> should I do anything about it?
> Thanks
>
>
>
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