Hi Costin Leau,

Currently I just pull all data in one index (INDEX_NAME_DATE) 
In my benmark, I just do two function, count and count distinct field.

P/S: Thanks for your fast response, I would really happy to see you at IRC 
(just give me the time).





On Sunday, October 12, 2014 8:02:57 PM UTC+7, Costin Leau wrote:
>
> It depends on various factors. Do you put all the data under one index or 
> is it one index per day/month/hour? What type of script and performance 
> degradation do you see? If it's easier feel free to reach out on irc. I'll 
> be traveling this week but we'll be back the next one.
>   Cheers
> On Oct 12, 2014 2:51 PM, "Sang Dang" <[email protected] <javascript:>> 
> wrote:
>
>> Hi All,
>> Currently I am using ElasticSearch for a logging system.
>> My first solution is that every log will put on ES and index will rolling 
>> by date.
>> To do real time stats, I will use Aggregation.
>> To do statistic I will use Spark (or Hive, Shark whatever) on ES data 
>> (thanks to ElasticSearch-Hadoop plugin 
>> All is fine, but when my data grows (currently 17M record/index/date), 
>> Spark (Hive also) becomes very slow.
>>
>> I did benmark with the same data on ES and Hadoop, and I saw that Spark 
>> (Hive) run on Hadoop is much faster.
>>
>> Is there something I have missed ?
>>
>> Currently I maintain two storage, one is ES for realtime stats, another 
>> is Hadoop for other statistics. Is it fine ?
>>
>> I really appreciate any idea or solution.,
>>
>> Thanks.
>>
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