Some comments:

Searching for `program:apache` actually search in field `program`.

Searching with wildcards is something you really should not do! Actually when 
you do full text search on Google, I guess you don’t use wildcards, right? It’s 
not really user friendly.
So wildcards are extremely slow and even slower when you start with *! Look 
here for reference: 
http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-wildcard-query.html#query-dsl-wildcard-query
 
<http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-wildcard-query.html#query-dsl-wildcard-query>
Searching in _all field is also something you should not do but it depends on 
your use case. I’d prefer using copy_to feature in mapping instead of using 
_all field.

Now, I think it depends on your infra. How many nodes, RAM, … you have.


 

-- 
David Pilato | Technical Advocate | Elasticsearch.com
@dadoonet <https://twitter.com/dadoonet> | @elasticsearchfr 
<https://twitter.com/elasticsearchfr> | @scrutmydocs 
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> Le 28 nov. 2014 à 10:44, horst knete <[email protected]> a écrit :
> 
> Hey guys,
> 
> we are experience poor performance if we do some "full text" ( searches 
> without specifying an field name).
> 
> If we search in an 200 GB index which lays on SSDs for something like ' 
> program:apache ' the search takes about 10-15 seconds, if we search for ' 
> *apache* ' the whole search goes for 1,5-2 minutes.
> 
> What can cause this? Our mapping? the high heap of the SSD ES node ( 80gb + 
> ~90 GB available Lucene system memory)? Is it normal?
> 
> If you need any information, please let me know.
> 
> thanks for any respond
> 
> 
> 
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