Martijn,

1. Not running low at all.
2. A regular document takes ~75ms.
3. https://gist.github.com/julesbravo/9337810

It looks like it's definitely CPU bound.

On Monday, March 3, 2014 3:40:05 PM UTC-8, Martijn v Groningen wrote:
>
> On top of just indexing a document, the top level 'query' field part gets 
> parsed into a internal Lucene query. However I don't see why this should 
> take a long time.
>
> Some questions:
> Are you running low on jvm memory?
> How long does it take to index a regular document?
> Can you run the hot threads api while indexing a percolator document?
>
> Martijn 
>  
>
>
> On 4 March 2014 00:25, James Bathgate <[email protected]<javascript:>
> > wrote:
>
>> What are the likely bottlenecks on indexing percolators? This is on a 
>> Vagrant virtual machine with 2 GBs of RAM with 1GB for ES. I'm wondering if 
>> this won't be a problem on an EC2 instance.
>>
>>
>> On Monday, March 3, 2014 2:14:34 PM UTC-8, James Bathgate wrote:
>>>
>>> I don't think so. This is on my local dev with nothing else running on 
>>> the index.
>>>
>>> On Monday, March 3, 2014 2:00:53 PM UTC-8, Binh Ly wrote:
>>>>
>>>> Hmmmm not sure, I just tried this on ES 1.0.1 and Oracle Java 1.7_u51 
>>>> and here are my results:
>>>>
>>>> Insert Percolator:
>>>> {"_index":"merchandising","_type":".percolator","_id":"1",
>>>> "_version":1,"created":true}
>>>> real    0m0.103s
>>>> user    0m0.015s
>>>> sys     0m0.000s
>>>>
>>>> Is it possible that your index was just busy?
>>>>
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>
>
>
> -- 
> Met vriendelijke groet,
>
> Martijn van Groningen 
>

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