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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