OK, not very great that there is no timeout. It is indeed the search queue
that goes to
1000
/_cat/thread_pool?v&h=id,host,suggest.active,suggest.rejected,suggest.completed,search.queue
It is a request that breaks all the shards (no replica), because I only
find one error in the log file (othe
n.support.replication.TransportShardReplicationOperationAction$AsyncShardOperationAction$1@4a94944]]
>>
>> We didn't change any of the threadpools queue size settings (like
>> threadpool.bulk.queue_size). AFAIK in this case the queue size is
>> unlimited.
&
Once a query is submitted, Elasticsearch will execute the query until it
terminates. A query timeout only returns results prematurely, it does not
cancel ongoing query threads on nodes.
Jörg
On Mon, Feb 23, 2015 at 11:48 AM, Christopher Bourez <
christopher.bou...@gmail.com> wrote:
> Ok for defa
ExecutionException[rejected execution (queue capacity 50) on
> org.elasticsearch.action.support.replication.TransportShardReplicationOperationAction$AsyncShardOperationAction$1@4a94944
> ]]
>
> We didn't change any of the threadpools queue size settings (like
> threadpool.bulk.qu
Ok for default replica number in index settings... sounds good
index_indexing_slowlog and index_indexing_slowlog are void but errors
appear in the main logs. let me find them next time
But is there any way to put a timeout in the server on queries ? because I
thought they would not last more th
[EsRejectedExecutionException[rejected execution (queue capacity 50) on
org.elasticsearch.action.support.replication.TransportShardReplicationOperationAction$AsyncShardOperationAction$1@4a94944]]
We didn't change any of the threadpools queue size settings (like
threadpool.bulk.queue_size). AFA
I assume search actions got stuck and block the subsequent ones, which
results in the search queue filling up. Maybe the cause is printed in the
server logs.
Setting replica to 0 with just one node helps to fix the 15 shards/30 total
shards count but that is an unrelated story.
Jörg
On Fri, Feb
It means your cluster is probably overloaded.
Your missing shards are probably replicas, which will never be assigned
with a one node cluster, head should show these.
What is that massive spike right before the end of the graph? Are you also
monitoring things like load and other OS level stats?
O
I'm having the following problem :
"SearchPhaseExecutionException[Failed to execute phase [query], all shards
failed; shardFailures {[rlrweRJAQJqaoKfFB8il5A][stt_prod][3]:
EsRejectedExecutionException[rejected execution (queue capacity 1000) on
org.elasticsearch.action.search.type.TransportSea
.queue_size: 5000 threadpool.bulk.type: fixed
>> threadpool.index.queue_size: 5000 threadpool.index.type: fixed
>>
>> These settings way too large and will bog down your system.
>>
>> Jörg
>>
>>
>>
>> On Tue, Dec 23, 2014 at 10:56 AM, nilesh makwan
pool.index.queue_size: 5000 threadpool.index.type: fixed
>
> These settings way too large and will bog down your system.
>
> Jörg
>
>
>
> On Tue, Dec 23, 2014 at 10:56 AM, nilesh makwana > wrote:
>
>> Here is elasticsearch.yml file for elasticsearch service. Logs a
10:56 AM, nilesh makwana
wrote:
> Here is elasticsearch.yml file for elasticsearch service. Logs are showing
> queue size error as I told earlier. I don't have logs at time I first time
> changed configurations. After that I am tweaking configurations to get
> optimized servic
Here is elasticsearch.yml file for elasticsearch service. Logs are showing
queue size error as I told earlier. I don't have logs at time I first time
changed configurations. After that I am tweaking configurations to get
optimized service.
ᐧ
On Mon, Dec 22, 2014 at 6:42 PM, joergpra...@gmai
web site which
> is world wide event discovery portal.We use elasticsearch for search
> operations. I am experiencing issues in elastic search, It stops working
> randomly. Qbox client gives error "all shards failed". I looked up the
> issue and increased thread pull queue s
looked up the
issue and increased thread pull queue size to 5000. Still server stops
randomly. I test sever performance using
Android Benchmark. Server can not handle 150 simultaneous request. It stops
every time I run script using ab. What should I do? I except server to at
least handle 1000
Yes the particular error is from July.
How can I determine the optimal setting for queue size?
On Monday, October 13, 2014 3:21:32 PM UTC-7, Mark Walkom wrote:
>
> Increasing queues isn't going to help if there are underlying problems
> stopping the processing.
>
> Based on t
s the queue was full.
>
> Should we increase the default queue size?
>
> I understand that there are several queue's within elastic search.
>
>
>1.
>
>Queues in Elastic Search
>1.
>
> Index
>
> <http://www.elasticsearch.org/gu
Hi
We have several elastic search clusters
Recently we faced an issue in which one of our nodes experienced queueing.
In fact, the queue length was greater than 1000.
Subsequent requests were rejected as the queue was full.
Should we increase the default queue size?
I understand that there are
You might also keep an eye on what your disk utilization is like when the
search queue is filling up; CPU isn't the only possible bottleneck here.
--
The information transmitted in this email is intended only for the
person(s) or entity to which it is addressed and may contain confidential
and
If search requests are being queued, then that means you probably do not
have capacity for more concurrent searches. We are so many searches being
queued? A temporary spike in search requests or are some expensive queries
using up the existing threads?
Try increasing the queue size and monitoring
rejected execution (queue capacity 1000) on
org.elasticsearch.transport.netty.MessageChannelHandler$RequestHandler@10970469*
My question is, is it safe to increase the thread pool and queue size as a
solution? Is it necessary to increase both? If my thoughts are correct,
increasing the size of the t
21 matches
Mail list logo
