On 30 January 2014 14:44, Mark Walkom <[email protected]> wrote:

> Facets use a fair bit of memory and in general ES will cache a much as it
> can to speed up query times.
>

I have no issues with ES using memory for cache. But I don't see the memory
consumption drop at all even when I am doing nothing.


> Your graphs look pretty reasonable to me, lots of little GC's rather than
> big ones rarely is what you want.
> What are you expecting?
>

Agreed. That was the reason for me to switch to G1GC. But the garbage
collection cycle does not seem to free up much memory, even when I am not
performing any operations on the ES cluster. My main problem is that I am
writing/updating about 30-40 docs per second (mostly scripted updates) and
very often I see spikes in my queue that I am used to writing. I was sort
of able to relate these spikes with GC, although there is no concrete
evidence.

I know that Elasticsearch is capable of a lot more and that's why it
concerns me. I don't think that the load I have is too much for
Elasticsearch to take. And that's why I need to understand what could be
the possible reason for periodic slow indexing/updates.


>
> Regards,
> Mark Walkom
>
> Infrastructure Engineer
> Campaign Monitor
> email: [email protected]
> web: www.campaignmonitor.com
>
>
> On 30 January 2014 18:43, Vaidik Kapoor <[email protected]> wrote:
>
>> Hi Guys,
>>
>> I have the following situation. I have 3 nodes cluster, each node has 32
>> GB DDR3 RAM and 2 Octocore Processors (16 cores), with HT. Allocated 50% of
>> the RAM to Elasticsearch. We have only 1 index with 32 shards and 1 replica
>> each, making it 64 shards in the cluster. We have a lot of mappings in the
>> index (more than 3000 ~ no. of users).
>>
>> We have a lot of updates queries. In fact, we have only update queries
>> with upserts. We are using routing to put similar data in the same shard.
>> We see the rate of update queries ranging between 20/sec to 60/sec. This is
>> going to increase to about 130-140/sec when we go live. Our queries are
>> mostly filtered queries with a lot of use of term faceting (now we are
>> using the Aggregations module).
>>
>> We are using doc_values as much as possible to reduce bringing of field
>> data in the field data cache.
>>
>> For the last 2 weeks, I have been noticing that the memory usage would
>> never drop. Every node in the cluster is using about 90% of the memory all
>> the time. This triggers the GC a lot (sometimes more than 5 times in a
>> minute). We are using G1GC instead of the default CMS.
>>
>> I then decided to stop querying and indexing both. The memory usage still
>> does not drop and there are still a lot of GCs in a given minute. The
>> effect of this is visible in the queue we are using to update documents. I
>> can clearly relate the spikes in the queue with the GC activity i.e.
>> whenever GC happens, indexing seems to become slow. This is sort of
>> worrying me.
>>
>> I am attaching screenshots of BigDesk of two of our nodes in the cluster
>> (1 master data node and 1 non-master data node).
>>
>> What could be the reason? How should I debug this issue? Will be happy to
>> share more details if needed.
>>
>> Vaidik Kapoor
>> vaidikkapoor.info
>>
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