You *cannot* get around this, it is expected, it is desirable.

On 11 February 2015 at 17:22, Sagar Shah <[email protected]> wrote:

> Thanks Mark for sharing your inputs, but I see CPU spiking upto 80% at
> times.
> Is it expected or desirable for few thousands records?
>
> On Wed, Feb 11, 2015 at 3:37 AM, Mark Walkom <[email protected]> wrote:
>
>> You will never get around the spike on some level. Elasticsearch uses
>> resources at index time to ensure the searching is fast.
>>
>> You may be able to reduce it a little by playing with your bulk size, ie
>> reducing it, or adding more CPUs
>>
>> On 11 February 2015 at 08:23, Sagar Shah <[email protected]> wrote:
>>
>>> Thanks for your input Mark.
>>>
>>> Can that be optimized? Does that run real time? I configured
>>> index.refresh_interval to run every 30 seconds. Can I optimize indexing
>>> process anyway.
>>> I have observed that whenever I process 3-4 events in my application
>>> causing about 5-6K records insertion in elasticseach, there's cpu spike.
>>>
>>> I monitored heap as well, and its way below (200mb) size configured
>>> (2gb) in ES.
>>>
>>> I don't need to use any fancy feature of cluster or availability at this
>>> point.
>>> My whole objective (from previous post) is to ensure that I store logs
>>> information and retrieve it using API and show in my web administration
>>> application without causing any performance or cpu spike.
>>>
>>> Please advise.
>>> Thanks!
>>>
>>> Regards,
>>> Sagar Shah
>>> On Wednesday, February 11, 2015 at 2:32:45 AM UTC+5:30, Mark Walkom
>>> wrote:
>>>>
>>>> That would be the indexing process that happens when you send the logs,
>>>> as ES needs to process and turn these into an inverted index for searching.
>>>>
>>>> On 11 February 2015 at 07:23, Sagar Shah <[email protected]> wrote:
>>>>
>>>>> Hello everyone,
>>>>> I am new to Elastic Search world and I am evaluating it for storing
>>>>> and retrieval of my application logs, which is currently being stored in
>>>>> postgres database.
>>>>> For performance and disk space reasons, I plan to switch logs storage
>>>>> from posgres to elastic search. I plan to store log information for 
>>>>> various
>>>>> applications as different indices in ES.
>>>>>
>>>>> But when I implemented this tool, I noticed lots of cpu spike on my
>>>>> system when it received the request for inserting logs data into ES.
>>>>> I am using Linux and allocated ES a 2GB RAM. I am using REST service
>>>>> calls to push logs data into ES. There are about 5000 records being
>>>>> inserted into one index for every request into the application (all in 
>>>>> JSON
>>>>> format). Refresh interval is kept to 30 seconds in elasticsearch.yml file
>>>>>
>>>>> Number of shards configured to 1 and replicas to 0. There are about 20
>>>>> index created for different applications, which might eventually grow upto
>>>>> 50 (as it is per application) Also, advise, if it should be separate index
>>>>> per application, or single index storing logs of all of the applications. 
>>>>> I
>>>>> expect about 3k to 5k log messages per any request in any application
>>>>> Single node is being used for storing logs of multiple applications
>>>>> running on same node under separate JVM
>>>>> JDK: 1.7
>>>>>
>>>>>
>>>>> ES_HEAP_SIZE=2g
>>>>> Also configured, mlockall to true in elasticsearch.yml file.
>>>>>
>>>>> I am clueless in identifying root cause of cpu spike.
>>>>>
>>>>> Can anyone please suggest a way out in further troubleshooting and
>>>>> determining the root cause. What should be the next steps to troubleshoot
>>>>> the same.
>>>>>
>>>>> ES version: 1.4.2
>>>>>
>>>>> Please let me know, if you need any further information.
>>>>> Appreciate your inputs and help!
>>>>>
>>>>> Regards,
>>>>> Sagar Shah
>>>>>
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>
>
>
> --
>
> Regards,
> Sagar Shah
>
> Too many people think more of security instead of opportunity. They seem
> more afraid of life than death!!!
>
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