The query size parameter is 200.  
Actual hit totals vary widely, generally around 1000-10000.  A minority are 
much lower.  About 10% of queries end up with just 1 or 0 hits.


On Tuesday, August 12, 2014 6:31:29 AM UTC-7, Adrien Grand wrote:
>
> Hi Ashish,
>
> How many documents do your queries typically retrieve? (the value of the 
> `size` parameter)
>
>
> On Tue, Aug 12, 2014 at 12:48 AM, Ashish Mishra <[email protected] 
> <javascript:>> wrote:
>
>> I recently added a binary type field to all documents with mapping 
>> "store": "true".  The field contents are large and as a result the on-disk 
>> index size rose by 3x, from 2.5Gb/shard to ~8Gb/shard.  
>>
>> After this change I've seen a big jump in query latency.  Searches which 
>> previously took 40-60ms now take 800ms and longer.  This is the case even 
>> for queries which *don't* return the binary field.
>> I tried optimizing the index down to max_num_segments=1, but query 
>> latency remains high.
>>
>> Is this expected?  Obviously queries returning the new field will take a 
>> hit (since field data needs to be loaded from disk).  But I would've 
>> expected other queries should not be much affected.
>>
>> Is the problem that larger file sizes make memory-mapping and the FS 
>> cache less efficient?  Or are stored fields still getting loaded from disk 
>> even when not included in the "fields" term?
>>  
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>
>
> -- 
> Adrien Grand
>  

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