You could try to run this:

curl -XGET "http://localhost:9200/index/_search"; -d'
{
  "post_filter": {
    "not": {
      "filter": {
        "or": [
          {
            "term": {
              "_type": "type1"
            }
          },
          {
            "term": {
              "_type": "type2"
            }
          },
          {
            "term": {
              "_type": "type3"
            }
          }
        ]
      }
    }
  }
}'

-- 
David Pilato | Technical Advocate | elasticsearch.com
[email protected]
@dadoonet | @elasticsearchfr | @scrutmydocs



Le 24 septembre 2014 à 08:47:41, [email protected] ([email protected]) a 
écrit:

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] 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



--
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 [email protected].
To view this discussion on the web visit 
https://groups.google.com/d/msgid/elasticsearch/f08bd648-89ac-4f25-b2aa-55254371fb44%40googlegroups.com.
For more options, visit https://groups.google.com/d/optout.
--
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 [email protected].
To view this discussion on the web visit 
https://groups.google.com/d/msgid/elasticsearch/48ca6d39-e67f-4cf9-afac-3c5db871a365%40googlegroups.com.
For more options, visit https://groups.google.com/d/optout.

-- 
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 [email protected].
To view this discussion on the web visit 
https://groups.google.com/d/msgid/elasticsearch/etPan.54226e8e.79e2a9e3.3194%40MacBook-Air-de-David.local.
For more options, visit https://groups.google.com/d/optout.

Reply via email to