# Scaling ES, Please HELP

**URL:** <https://discuss.elastic.co/t/scaling-es-please-help/13677>\
**Category:** Elasticsearch\
**Created:** [September 18, 2013, 5:07pm UTC](https://discuss.elastic.co/t/scaling-es-please-help/13677 "2013-09-18T17:07:10Z")\
**Posts on this page:** 8\
**Page:** 1

<div class="post-metadata">

**Author:** ![Fabien\_Guiraud](https://avatars.discourse-cdn.com/v4/letter/f/57b2e6/32.png) [@Fabien\_Guiraud](https://discuss.elastic.co/u/Fabien_Guiraud)\
**Post date:** [September 18, 2013, 5:07pm UTC](https://discuss.elastic.co/t/scaling-es-please-help/13677/1 "2013-09-18T17:07:10Z")

</div>

Hi,

Here's my configuration :

- OS : Ubuntu 12.04.3

- JVM : oracle-7-jdk

- 6 nodes

- I have 6 servers (1 server = 1 node), all servers are m2.2xlarge on EC2.  
And so each server has 34.2Go RAM, and I use only ephemeral disk for  
storage.

- My cluster health status : [https://gist.github.com/zywx/6612106](https://gist.github.com/zywx/6612106)

- I have 7 indexes, the problem is on the big one, about 15 millions of  
documents.

- 6 indexes with 5 shards and 5 replicas, and the big one with 5 shards and  
1 replica.

- The big one mapping is quite simple, a lot of fields; 2 fieds in  
not\_analysed.

My problem is querying ES with faceting like terms\_stats is really slow,  
about 4/5 seconds. None of the fields use in terms\_stats are not\_analysed.

I can provide what anyone need to better understand my problem.

Thanks a lot,

Fabien

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<div class="post-metadata">

**Author:** ![Fabien\_Guiraud](https://avatars.discourse-cdn.com/v4/letter/f/57b2e6/32.png) [@Fabien\_Guiraud](https://discuss.elastic.co/u/Fabien_Guiraud)\
**Post date:** [September 18, 2013, 5:25pm UTC](https://discuss.elastic.co/t/scaling-es-please-help/13677/2 "2013-09-18T17:25:38Z")

</div>

Additional information, in paramedic, status of a node :

IP: inet[/10.0.1.242:9200]

HOST: ip-10-0-1-242.ec2.internal

LOAD: 0.860

SIZE: 9gb

DOCS: 11 494 592

HEAP: 7.3gb /20gb

On Wednesday, September 18, 2013 7:07:10 PM UTC+2, Fabien Guiraud wrote:

> Hi,
> 
> Here's my configuration :
> 
> - OS : Ubuntu 12.04.3
> 
> - JVM : oracle-7-jdk
> 
> - 6 nodes
> 
> - I have 6 servers (1 server = 1 node), all servers are m2.2xlarge on EC2.  
> And so each server has 34.2Go RAM, and I use only ephemeral disk for  
> storage.
> 
> - My cluster health status : [https://gist.github.com/zywx/6612106](https://gist.github.com/zywx/6612106)
> 
> - I have 7 indexes, the problem is on the big one, about 15 millions of  
> documents.
> 
> - 6 indexes with 5 shards and 5 replicas, and the big one with 5 shards  
> and 1 replica.
> 
> - The big one mapping is quite simple, a lot of fields; 2 fieds in  
> not\_analysed.
> 
> My problem is querying ES with faceting like terms\_stats is really slow,  
> about 4/5 seconds. None of the fields use in terms\_stats are not\_analysed.
> 
> I can provide what anyone need to better understand my problem.
> 
> Thanks a lot,
> 
> Fabien

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<div class="post-metadata">

**Author:** ![Eric\_Rodriguez](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/eric_rodriguez/32/1281_2.png) [@Eric\_Rodriguez](https://discuss.elastic.co/u/Eric_Rodriguez)\
**Post date:** [September 18, 2013, 6:30pm UTC](https://discuss.elastic.co/t/scaling-es-please-help/13677/3 "2013-09-18T18:30:20Z")

</div>

I never had performance issue, but I would look into:

- allowed memory settings for JVM
- JVM itself: version and/or vendor
- io bottleneck, maybe IOPS on amazon
- network speed

But that's only generic advice, not sure this will help you.

Eric

Sent from my iPhone

On 18 Sep 2013, at 19:07, Fabien Guiraud [fabien1909@gmail.com](mailto:fabien1909@gmail.com) wrote:

Hi,

Here's my configuration :

- OS : Ubuntu 12.04.3

- JVM : oracle-7-jdk

- 6 nodes

- I have 6 servers (1 server = 1 node), all servers are m2.2xlarge on EC2.  
And so each server has 34.2Go RAM, and I use only ephemeral disk for  
storage.

- My cluster health status : [https://gist.github.com/zywx/6612106](https://gist.github.com/zywx/6612106)

- I have 7 indexes, the problem is on the big one, about 15 millions of  
documents.

- 6 indexes with 5 shards and 5 replicas, and the big one with 5 shards and  
1 replica.

- The big one mapping is quite simple, a lot of fields; 2 fieds in  
not\_analysed.

My problem is querying ES with faceting like terms\_stats is really slow,  
about 4/5 seconds. None of the fields use in terms\_stats are not\_analysed.

I can provide what anyone need to better understand my problem.

Thanks a lot,

Fabien

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**Author:** ![Fabien\_Guiraud](https://avatars.discourse-cdn.com/v4/letter/f/57b2e6/32.png) [@Fabien\_Guiraud](https://discuss.elastic.co/u/Fabien_Guiraud)\
**Post date:** [September 18, 2013, 6:35pm UTC](https://discuss.elastic.co/t/scaling-es-please-help/13677/4 "2013-09-18T18:35:38Z")

</div>

Ok yes I already have a look to that. Everything seems normal. But I have 20gb per node, each total docs size is \<\< 20 gb but heap size seems to be block around 5gb. Is that a problem/lead?

Le 18 sept. 2013 à 20:30, Eric Rodriguez [thewavyx@gmail.com](mailto:thewavyx@gmail.com) a écrit :

> I never had performance issue, but I would look into:
> 
> - allowed memory settings for JVM
> - JVM itself: version and/or vendor
> - io bottleneck, maybe IOPS on amazon
> - network speed
> 
> But that's only generic advice, not sure this will help you.
> 
> Eric
> 
> Sent from my iPhone
> 
> On 18 Sep 2013, at 19:07, Fabien Guiraud [fabien1909@gmail.com](mailto:fabien1909@gmail.com) wrote:
> 
> > Hi,
> > 
> > Here's my configuration :
> > 
> > - OS : Ubuntu 12.04.3
> > 
> > - JVM : oracle-7-jdk
> > 
> > - 6 nodes
> > 
> > - I have 6 servers (1 server = 1 node), all servers are m2.2xlarge on EC2. And so each server has 34.2Go RAM, and I use only ephemeral disk for storage.
> > 
> > - My cluster health status : [https://gist.github.com/zywx/6612106](https://gist.github.com/zywx/6612106)
> > 
> > - I have 7 indexes, the problem is on the big one, about 15 millions of documents.
> > 
> > - 6 indexes with 5 shards and 5 replicas, and the big one with 5 shards and 1 replica.
> > 
> > - The big one mapping is quite simple, a lot of fields; 2 fieds in not\_analysed.
> > 
> > My problem is querying ES with faceting like terms\_stats is really slow, about 4/5 seconds. None of the fields use in terms\_stats are not\_analysed.
> > 
> > I can provide what anyone need to better understand my problem.
> > 
> > Thanks a lot,
> > 
> > ## Fabien
> > 
> > You received this message because you are subscribed to the Google Groups "elasticsearch" group.  
> > To unsubscribe from this group and stop receiving emails from it, send an email to [elasticsearch+unsubscribe@googlegroups.com](mailto:elasticsearch+unsubscribe@googlegroups.com).  
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**Author:** ![mattweber](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/mattweber/32/44940_2.png) [@mattweber](https://discuss.elastic.co/u/mattweber)\
**Post date:** [September 19, 2013, 1:09am UTC](https://discuss.elastic.co/t/scaling-es-please-help/13677/5 "2013-09-19T01:09:19Z")

</div>

You should not facet on a field that is analyzed. Did you allow fielddata  
cache to be warmed or are you testing the first couple queries? What do  
your queries look like? How many facets? Are you sorting? Did you change  
any of your fielddata settings?

On Wed, Sep 18, 2013 at 11:35 AM, Fabien Guiraud [fabien1909@gmail.com](mailto:fabien1909@gmail.com)wrote:

> Ok yes I already have a look to that. Everything seems normal. But I have  
> 20gb per node, each total docs size is \<\< 20 gb but heap size seems to be  
> block around 5gb. Is that a problem/lead?
> 
> Le 18 sept. 2013 à 20:30, Eric Rodriguez [thewavyx@gmail.com](mailto:thewavyx@gmail.com) a écrit :
> 
> I never had performance issue, but I would look into:
> 
> - allowed memory settings for JVM
> - JVM itself: version and/or vendor
> - io bottleneck, maybe IOPS on amazon
> - network speed
> 
> But that's only generic advice, not sure this will help you.
> 
> Eric
> 
> Sent from my iPhone
> 
> On 18 Sep 2013, at 19:07, Fabien Guiraud [fabien1909@gmail.com](mailto:fabien1909@gmail.com) wrote:
> 
> Hi,
> 
> Here's my configuration :
> 
> - OS : Ubuntu 12.04.3
> 
> - JVM : oracle-7-jdk
> 
> - 6 nodes
> 
> - I have 6 servers (1 server = 1 node), all servers are m2.2xlarge on EC2.  
> And so each server has 34.2Go RAM, and I use only ephemeral disk for  
> storage.
> 
> - My cluster health status : [https://gist.github.com/zywx/6612106](https://gist.github.com/zywx/6612106)
> 
> - I have 7 indexes, the problem is on the big one, about 15 millions of  
> documents.
> 
> - 6 indexes with 5 shards and 5 replicas, and the big one with 5 shards  
> and 1 replica.
> 
> - The big one mapping is quite simple, a lot of fields; 2 fieds in  
> not\_analysed.
> 
> My problem is querying ES with faceting like terms\_stats is really slow,  
> about 4/5 seconds. None of the fields use in terms\_stats are not\_analysed.
> 
> I can provide what anyone need to better understand my problem.
> 
> Thanks a lot,
> 
> Fabien
> 
> --  
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> "elasticsearch" group.  
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**Author:** ![Fabien\_Guiraud](https://avatars.discourse-cdn.com/v4/letter/f/57b2e6/32.png) [@Fabien\_Guiraud](https://discuss.elastic.co/u/Fabien_Guiraud)\
**Post date:** [September 19, 2013, 9:14am UTC](https://discuss.elastic.co/t/scaling-es-please-help/13677/6 "2013-09-19T09:14:22Z")

</div>

Hi,

Ok, so I need to pass all my field in not\_analysed.

One of the most problematic query is 5 statistical facets (shares\_count,  
likes\_count, dislikes\_count, etc.. only counts), with a query to filter on  
a field. None of the count or the field are to not\_analysed.  
The other one is a terms\_stats query with a value\_script,  
"doc['shares\_count,'].value + doc['likes\_count'].value +  
doc['dislikes\_count'].value"

I doesn't change fielddata settings.

If it can help, here a screenshot of the shards (paramedic view) :

Thanks for your answer,

On Thursday, September 19, 2013 3:09:19 AM UTC+2, Matt Weber wrote:

> You should not facet on a field that is analyzed. Did you allow fielddata  
> cache to be warmed or are you testing the first couple queries? What do  
> your queries look like? How many facets? Are you sorting? Did you change  
> any of your fielddata settings?
> 
> On Wed, Sep 18, 2013 at 11:35 AM, Fabien Guiraud \<[fabie...@gmail.com](mailto:fabie...@gmail.com)\<javascript:\>
> 
> > wrote:
> 
> > Ok yes I already have a look to that. Everything seems normal. But I have  
> > 20gb per node, each total docs size is \<\< 20 gb but heap size seems to be  
> > block around 5gb. Is that a problem/lead?
> > 
> > Le 18 sept. 2013 à 20:30, Eric Rodriguez \<[thew...@gmail.com](mailto:thew...@gmail.com) \<javascript:\>\>  
> > a écrit :
> > 
> > I never had performance issue, but I would look into:
> > 
> > - allowed memory settings for JVM
> > - JVM itself: version and/or vendor
> > - io bottleneck, maybe IOPS on amazon
> > - network speed
> > 
> > But that's only generic advice, not sure this will help you.
> > 
> > Eric
> > 
> > Sent from my iPhone
> > 
> > On 18 Sep 2013, at 19:07, Fabien Guiraud \<[fabie...@gmail.com](mailto:fabie...@gmail.com)\<javascript:\>\>  
> > wrote:
> > 
> > Hi,
> > 
> > Here's my configuration :
> > 
> > - OS : Ubuntu 12.04.3
> > 
> > - JVM : oracle-7-jdk
> > 
> > - 6 nodes
> > 
> > - I have 6 servers (1 server = 1 node), all servers are m2.2xlarge on  
> > EC2. And so each server has 34.2Go RAM, and I use only ephemeral disk for  
> > storage.
> > 
> > - My cluster health status : [https://gist.github.com/zywx/6612106](https://gist.github.com/zywx/6612106)
> > 
> > - I have 7 indexes, the problem is on the big one, about 15 millions of  
> > documents.
> > 
> > - 6 indexes with 5 shards and 5 replicas, and the big one with 5 shards  
> > and 1 replica.
> > 
> > - The big one mapping is quite simple, a lot of fields; 2 fieds in  
> > not\_analysed.
> > 
> > My problem is querying ES with faceting like terms\_stats is really slow,  
> > about 4/5 seconds. None of the fields use in terms\_stats are not\_analysed.
> > 
> > I can provide what anyone need to better understand my problem.
> > 
> > Thanks a lot,
> > 
> > Fabien
> > 
> > --  
> > You received this message because you are subscribed to the Google Groups  
> > "elasticsearch" group.  
> > To unsubscribe from this group and stop receiving emails from it, send an  
> > email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com) \<javascript:\>.  
> > For more options, visit [https://groups.google.com/groups/opt\_out](https://groups.google.com/groups/opt_out).
> > 
> > --  
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> > To unsubscribe from this group and all its topics, send an email to  
> > [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com) \<javascript:\>.
> > 
> > For more options, visit [https://groups.google.com/groups/opt\_out](https://groups.google.com/groups/opt_out).
> > 
> > --  
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**Author:** ![Fabien\_Guiraud](https://avatars.discourse-cdn.com/v4/letter/f/57b2e6/32.png) [@Fabien\_Guiraud](https://discuss.elastic.co/u/Fabien_Guiraud)\
**Post date:** [September 23, 2013, 9:59am UTC](https://discuss.elastic.co/t/scaling-es-please-help/13677/7 "2013-09-23T09:59:34Z")

</div>

Hi,

My fields are now all in not\_analyzed, but it still very slow : ~2/3 sec per query.

I don't know what to do more, I optimised my queries with facet\_filter, I have only 15 millions of docs, 1 replica and 5 shards for 6 big servers.

Is Elasticsearch is truly a good thing for analytics? Not so sure right now..

What I can do?

Thanks

Fabien

On Sep 19, 2013, at 11:14 AM, Fabien Guiraud [fabien1909@gmail.com](mailto:fabien1909@gmail.com) wrote:

> Hi,
> 
> Ok, so I need to pass all my field in not\_analysed.
> 
> One of the most problematic query is 5 statistical facets (shares\_count, likes\_count, dislikes\_count, etc.. only counts), with a query to filter on a field. None of the count or the field are to not\_analysed.  
> The other one is a terms\_stats query with a value\_script, "doc['shares\_count,'].value + doc['likes\_count'].value + doc['dislikes\_count'].value"
> 
> I doesn't change fielddata settings.
> 
> If it can help, here a screenshot of the shards (paramedic view) :
> 
> Thanks for your answer,
> 
> On Thursday, September 19, 2013 3:09:19 AM UTC+2, Matt Weber wrote:  
> You should not facet on a field that is analyzed. Did you allow fielddata cache to be warmed or are you testing the first couple queries? What do your queries look like? How many facets? Are you sorting? Did you change any of your fielddata settings?
> 
> On Wed, Sep 18, 2013 at 11:35 AM, Fabien Guiraud [fabie...@gmail.com](mailto:fabie...@gmail.com) wrote:  
> Ok yes I already have a look to that. Everything seems normal. But I have 20gb per node, each total docs size is \<\< 20 gb but heap size seems to be block around 5gb. Is that a problem/lead?
> 
> Le 18 sept. 2013 à 20:30, Eric Rodriguez [thew...@gmail.com](mailto:thew...@gmail.com) a écrit :
> 
> > I never had performance issue, but I would look into:
> > 
> > - allowed memory settings for JVM
> > - JVM itself: version and/or vendor
> > - io bottleneck, maybe IOPS on amazon
> > - network speed
> > 
> > But that's only generic advice, not sure this will help you.
> > 
> > Eric
> > 
> > Sent from my iPhone
> > 
> > On 18 Sep 2013, at 19:07, Fabien Guiraud [fabie...@gmail.com](mailto:fabie...@gmail.com) wrote:
> > 
> > > Hi,
> > > 
> > > Here's my configuration :
> > > 
> > > - OS : Ubuntu 12.04.3
> > > 
> > > - JVM : oracle-7-jdk
> > > 
> > > - 6 nodes
> > > 
> > > - I have 6 servers (1 server = 1 node), all servers are m2.2xlarge on EC2. And so each server has 34.2Go RAM, and I use only ephemeral disk for storage.
> > > 
> > > - My cluster health status : [https://gist.github.com/zywx/6612106](https://gist.github.com/zywx/6612106)
> > > 
> > > - I have 7 indexes, the problem is on the big one, about 15 millions of documents.
> > > 
> > > - 6 indexes with 5 shards and 5 replicas, and the big one with 5 shards and 1 replica.
> > > 
> > > - The big one mapping is quite simple, a lot of fields; 2 fieds in not\_analysed.
> > > 
> > > My problem is querying ES with faceting like terms\_stats is really slow, about 4/5 seconds. None of the fields use in terms\_stats are not\_analysed.
> > > 
> > > I can provide what anyone need to better understand my problem.
> > > 
> > > Thanks a lot,
> > > 
> > > Fabien
> > > 
> > > --  
> > > You received this message because you are subscribed to the Google Groups "elasticsearch" group.  
> > > To unsubscribe from this group and stop receiving emails from it, send an email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com).  
> > > For more options, visit [https://groups.google.com/groups/opt\_out](https://groups.google.com/groups/opt_out).
> > 
> > --  
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> > To unsubscribe from this group and all its topics, send an email to [elasticsearc...@googlegroups.com](mailto:elasticsearc...@googlegroups.com).
> > 
> > For more options, visit [https://groups.google.com/groups/opt\_out](https://groups.google.com/groups/opt_out).
> 
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<div class="post-metadata">

**Author:** ![system](https://us1.discourse-cdn.com/elastic/original/3X/1/a/1ac57faf039f6b580b3f104ef42a2a89e41014de.png) [@system](https://discuss.elastic.co/u/system)\
**Post date:** [July 6, 2017, 2:15am UTC](https://discuss.elastic.co/t/scaling-es-please-help/13677/8 "2017-07-06T02:15:08Z")

</div>


