# How many indices ES can support

**URL:** <https://discuss.elastic.co/t/how-many-indices-es-can-support/11887>\
**Category:** Elasticsearch\
**Created:** [May 8, 2013, 11:25pm UTC](https://discuss.elastic.co/t/how-many-indices-es-can-support/11887 "2013-05-08T23:25:47Z")\
**Posts on this page:** 7\
**Page:** 1

<div class="post-metadata">

**Author:** ![vinod\_eligeti](https://avatars.discourse-cdn.com/v4/letter/v/c4cdca/32.png) [@vinod\_eligeti](https://discuss.elastic.co/u/vinod_eligeti)\
**Post date:** [May 8, 2013, 11:25pm UTC](https://discuss.elastic.co/t/how-many-indices-es-can-support/11887/1 "2013-05-08T23:25:47Z")

</div>

Hi,

Let me explain the problem which I am trying to address:

We have a system to store logs per user and each user produces around few  
Terabytes of logs per day. I have growing number of users, as per  
guidelines I can split the indices per day or per user however, I am  
thinking to create indices per account _and_ per day so the index name  
looks like

:

that means the number of indices will be (users \* no\_of\_days). So question  
begs is how many indices ES can support?

The reason why i am creating index per user and per day is because of  
purging data policies. Each user logs can retained for certain number of  
days. So I assumed that its easier to delete whole index pertaining to that  
user and day. Other approach I can use is just create indices based on days  
and have log data store the username as one of the fields in document type  
and issue a query to bulk delete the logs with timestamp greater than  
retention period. I assume that the later approach is much expensive than  
deleting just the index. Is my assumption correct?

Thanks in advance.

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**Author:** ![radu\_gheorghe](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/radu_gheorghe/32/556_2.png) [@radu\_gheorghe](https://discuss.elastic.co/u/radu_gheorghe)\
**Post date:** [May 9, 2013, 7:27am UTC](https://discuss.elastic.co/t/how-many-indices-es-can-support/11887/2 "2013-05-09T07:27:28Z")

</div>

Hello,

On Thu, May 9, 2013 at 2:25 AM, vinod eligeti [veligeti999@gmail.com](mailto:veligeti999@gmail.com) wrote:

> Hi,
> 
> Let me explain the problem which I am trying to address:
> 
> We have a system to store logs per user and each user produces around few  
> Terabytes of logs per day. I have growing number of users, as per  
> guidelines I can split the indices per day or per user however, I am  
> thinking to create indices per account _and_ per day so the index name  
> looks like
> 
> :
> 
> that means the number of indices will be (users \* no\_of\_days). So question  
> begs is how many indices ES can support?

I'm not aware of such a limit. However, more indices imply more shards, and  
each shard comes with a memory overhead. And, assuming you keep the same  
merge policies, having more shards means more segments - so your data will  
be less compact (more disk space used), and you'll need more open files.

Since you say users send terabytes of logs per day, I assume you have a  
pretty large cluster to handle that, so maybe the problems mentioned above  
are negligible.

> The reason why i am creating index per user and per day is because of  
> purging data policies. Each user logs can retained for certain number of  
> days. So I assumed that its easier to delete whole index pertaining to that  
> user and day. Other approach I can use is just create indices based on days  
> and have log data store the username as one of the fields in document type  
> and issue a query to bulk delete the logs with timestamp greater than  
> retention period. I assume that the later approach is much expensive than  
> deleting just the index. Is my assumption correct?

Yes, your assumption is correct. Deleting individual docs means searching  
them all and marking them as deleted, so they can be purged in the next  
merge (which will make merging more expensive as well). Deleting indices is  
pretty much like deleting files on the disk.

If you want to have only one index per day, it might be worth to put each  
user's logs in a different type. The type name is essentially just another  
field (so no performance gain), but it's easier to index, search, and  
delete when you're using the type name in the URL.

## Best regards, Radu

[http://sematext.com/](http://sematext.com/) -- Elasticsearch -- Solr -- Lucene

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<div class="post-metadata">

**Author:** ![vinod\_eligeti](https://avatars.discourse-cdn.com/v4/letter/v/c4cdca/32.png) [@vinod\_eligeti](https://discuss.elastic.co/u/vinod_eligeti)\
**Post date:** [May 9, 2013, 6:24pm UTC](https://discuss.elastic.co/t/how-many-indices-es-can-support/11887/3 "2013-05-09T18:24:14Z")

</div>

Radu,

As per my understanding as what you said for example, if I have _User1_ and  
_User2_ as 2 doc types, Its much faster to delete the a single doc type,  
say User1, than to have one doc type say _Log_ and in that have a field \*  
user\* which can hold values User1 and User2, is that correct?

I ES Guide section, doc type is just any other field of a document and  
defined by \*\_type, \*implicit field, if thats the case why would deletion a  
doc type is faster than user field as deleting doc type internally should  
have mapped to \_type field which is same as bulk delete query of \*user=User1  
\*?

I hope I am not confusing you with my example.

thanks

On Thursday, May 9, 2013 12:27:28 AM UTC-7, Radu Gheorghe wrote:

> Hello,
> 
> On Thu, May 9, 2013 at 2:25 AM, vinod eligeti \<[velig...@gmail.com](mailto:velig...@gmail.com)\<javascript:\>
> 
> > wrote:
> 
> > Hi,
> > 
> > Let me explain the problem which I am trying to address:
> > 
> > We have a system to store logs per user and each user produces around few  
> > Terabytes of logs per day. I have growing number of users, as per  
> > guidelines I can split the indices per day or per user however, I am  
> > thinking to create indices per account _and_ per day so the index name  
> > looks like
> > 
> > :
> > 
> > that means the number of indices will be (users \* no\_of\_days). So  
> > question begs is how many indices ES can support?
> 
> I'm not aware of such a limit. However, more indices imply more shards,  
> and each shard comes with a memory overhead. And, assuming you keep the  
> same merge policies, having more shards means more segments - so your data  
> will be less compact (more disk space used), and you'll need more open  
> files.
> 
> Since you say users send terabytes of logs per day, I assume you have a  
> pretty large cluster to handle that, so maybe the problems mentioned above  
> are negligible.
> 
> > The reason why i am creating index per user and per day is because of  
> > purging data policies. Each user logs can retained for certain number of  
> > days. So I assumed that its easier to delete whole index pertaining to that  
> > user and day. Other approach I can use is just create indices based on days  
> > and have log data store the username as one of the fields in document type  
> > and issue a query to bulk delete the logs with timestamp greater than  
> > retention period. I assume that the later approach is much expensive than  
> > deleting just the index. Is my assumption correct?
> 
> Yes, your assumption is correct. Deleting individual docs means searching  
> them all and marking them as deleted, so they can be purged in the next  
> merge (which will make merging more expensive as well). Deleting indices is  
> pretty much like deleting files on the disk.
> 
> If you want to have only one index per day, it might be worth to put each  
> user's logs in a different type. The type name is essentially just another  
> field (so no performance gain), but it's easier to index, search, and  
> delete when you're using the type name in the URL.
> 
> ## Best regards, Radu
> 
> [http://sematext.com/](http://sematext.com/) -- Elasticsearch -- Solr -- Lucene

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<div class="post-metadata">

**Author:** ![spinscale](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/spinscale/32/25011_2.png) [@spinscale](https://discuss.elastic.co/u/spinscale)\
**Post date:** [May 10, 2013, 7:50am UTC](https://discuss.elastic.co/t/how-many-indices-es-can-support/11887/4 "2013-05-10T07:50:33Z")

</div>

Hey vinod,

you are right, that the type is just another document field. Deleting by  
type still means you delete data from an index instead of deleting the  
whole index in your date+user index name example, which might be the better  
way to go. Having indices per user and date comes at the cost of having to  
open more file descriptors and use memory per index, but might save you a  
lot time with your housekeeping routines, especially if you only need to  
hold the data for a limited amount of time (if you got enough disk space it  
might also be an option to just close the index, instead of deleting it, so  
it does not eat up any other resources than diskspace).

--Alex

On Thu, May 9, 2013 at 8:24 PM, vinod eligeti [veligeti999@gmail.com](mailto:veligeti999@gmail.com) wrote:

> Radu,
> 
> As per my understanding as what you said for example, if I have _User1_and  
> _User2_ as 2 doc types, Its much faster to delete the a single doc type,  
> say User1, than to have one doc type say _Log_ and in that have a field \*  
> user\* which can hold values User1 and User2, is that correct?
> 
> I ES Guide section, doc type is just any other field of a document and  
> defined by \*\_type, _implicit field, if thats the case why would deletion  
> a doc type is faster than user field as deleting doc type internally should  
> have mapped to \_type field which is same as bulk delete query of \*  
> user=User1_?
> 
> I hope I am not confusing you with my example.
> 
> thanks
> 
> On Thursday, May 9, 2013 12:27:28 AM UTC-7, Radu Gheorghe wrote:
> 
> > Hello,
> > 
> > On Thu, May 9, 2013 at 2:25 AM, vinod eligeti [velig...@gmail.com](mailto:velig...@gmail.com) wrote:
> > 
> > > Hi,
> > > 
> > > Let me explain the problem which I am trying to address:
> > > 
> > > We have a system to store logs per user and each user produces around  
> > > few Terabytes of logs per day. I have growing number of users, as per  
> > > guidelines I can split the indices per day or per user however, I am  
> > > thinking to create indices per account _and_ per day so the index name  
> > > looks like
> > > 
> > > :
> > > 
> > > that means the number of indices will be (users \* no\_of\_days). So  
> > > question begs is how many indices ES can support?
> > 
> > I'm not aware of such a limit. However, more indices imply more shards,  
> > and each shard comes with a memory overhead. And, assuming you keep the  
> > same merge policies, having more shards means more segments - so your data  
> > will be less compact (more disk space used), and you'll need more open  
> > files.
> > 
> > Since you say users send terabytes of logs per day, I assume you have a  
> > pretty large cluster to handle that, so maybe the problems mentioned above  
> > are negligible.
> > 
> > > The reason why i am creating index per user and per day is because of  
> > > purging data policies. Each user logs can retained for certain number of  
> > > days. So I assumed that its easier to delete whole index pertaining to that  
> > > user and day. Other approach I can use is just create indices based on days  
> > > and have log data store the username as one of the fields in document type  
> > > and issue a query to bulk delete the logs with timestamp greater than  
> > > retention period. I assume that the later approach is much expensive than  
> > > deleting just the index. Is my assumption correct?
> > 
> > Yes, your assumption is correct. Deleting individual docs means searching  
> > them all and marking them as deleted, so they can be purged in the next  
> > merge (which will make merging more expensive as well). Deleting indices is  
> > pretty much like deleting files on the disk.
> > 
> > If you want to have only one index per day, it might be worth to put each  
> > user's logs in a different type. The type name is essentially just another  
> > field (so no performance gain), but it's easier to index, search, and  
> > delete when you're using the type name in the URL.
> > 
> > ## Best regards, Radu
> > 
> > [http://sematext.com/](http://sematext.com/) -- Elasticsearch -- Solr -- Lucene
> 
> --  
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<div class="post-metadata">

**Author:** ![radu\_gheorghe](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/radu_gheorghe/32/556_2.png) [@radu\_gheorghe](https://discuss.elastic.co/u/radu_gheorghe)\
**Post date:** [May 10, 2013, 2:39pm UTC](https://discuss.elastic.co/t/how-many-indices-es-can-support/11887/5 "2013-05-10T14:39:19Z")

</div>

Right. Sorry if I just added confusion to the matter. AFAIK there's no  
difference in performance between having a type per user and having the  
user in an extra field. I just think it's easier to use that way, not  
faster.

Best regards,  
Radu

On Fri, May 10, 2013 at 10:50 AM, Alexander Reelsen [alr@spinscale.de](mailto:alr@spinscale.de)wrote:

> Hey vinod,
> 
> you are right, that the type is just another document field. Deleting by  
> type still means you delete data from an index instead of deleting the  
> whole index in your date+user index name example, which might be the better  
> way to go. Having indices per user and date comes at the cost of having to  
> open more file descriptors and use memory per index, but might save you a  
> lot time with your housekeeping routines, especially if you only need to  
> hold the data for a limited amount of time (if you got enough disk space it  
> might also be an option to just close the index, instead of deleting it, so  
> it does not eat up any other resources than diskspace).
> 
> --Alex
> 
> On Thu, May 9, 2013 at 8:24 PM, vinod eligeti [veligeti999@gmail.com](mailto:veligeti999@gmail.com)wrote:
> 
> > Radu,
> > 
> > As per my understanding as what you said for example, if I have _User1_and  
> > _User2_ as 2 doc types, Its much faster to delete the a single doc type,  
> > say User1, than to have one doc type say _Log_ and in that have a field  
> > _user_ which can hold values User1 and User2, is that correct?
> > 
> > I ES Guide section, doc type is just any other field of a document and  
> > defined by \*\_type, _implicit field, if thats the case why would deletion  
> > a doc type is faster than user field as deleting doc type internally should  
> > have mapped to \_type field which is same as bulk delete query of \*  
> > user=User1_?
> > 
> > I hope I am not confusing you with my example.
> > 
> > thanks
> > 
> > On Thursday, May 9, 2013 12:27:28 AM UTC-7, Radu Gheorghe wrote:
> > 
> > > Hello,
> > > 
> > > On Thu, May 9, 2013 at 2:25 AM, vinod eligeti [velig...@gmail.com](mailto:velig...@gmail.com)wrote:
> > > 
> > > > Hi,
> > > > 
> > > > Let me explain the problem which I am trying to address:
> > > > 
> > > > We have a system to store logs per user and each user produces around  
> > > > few Terabytes of logs per day. I have growing number of users, as per  
> > > > guidelines I can split the indices per day or per user however, I am  
> > > > thinking to create indices per account _and_ per day so the index name  
> > > > looks like
> > > > 
> > > > :
> > > > 
> > > > that means the number of indices will be (users \* no\_of\_days). So  
> > > > question begs is how many indices ES can support?
> > > 
> > > I'm not aware of such a limit. However, more indices imply more shards,  
> > > and each shard comes with a memory overhead. And, assuming you keep the  
> > > same merge policies, having more shards means more segments - so your data  
> > > will be less compact (more disk space used), and you'll need more open  
> > > files.
> > > 
> > > Since you say users send terabytes of logs per day, I assume you have a  
> > > pretty large cluster to handle that, so maybe the problems mentioned above  
> > > are negligible.
> > > 
> > > > The reason why i am creating index per user and per day is because of  
> > > > purging data policies. Each user logs can retained for certain number of  
> > > > days. So I assumed that its easier to delete whole index pertaining to that  
> > > > user and day. Other approach I can use is just create indices based on days  
> > > > and have log data store the username as one of the fields in document type  
> > > > and issue a query to bulk delete the logs with timestamp greater than  
> > > > retention period. I assume that the later approach is much expensive than  
> > > > deleting just the index. Is my assumption correct?
> > > 
> > > Yes, your assumption is correct. Deleting individual docs means  
> > > searching them all and marking them as deleted, so they can be purged in  
> > > the next merge (which will make merging more expensive as well). Deleting  
> > > indices is pretty much like deleting files on the disk.
> > > 
> > > If you want to have only one index per day, it might be worth to put  
> > > each user's logs in a different type. The type name is essentially just  
> > > another field (so no performance gain), but it's easier to index, search,  
> > > and delete when you're using the type name in the URL.
> > > 
> > > ## Best regards, Radu
> > > 
> > > [http://sematext.com/](http://sematext.com/) -- Elasticsearch -- Solr -- Lucene
> > 
> > --  
> > 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  
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> > For more options, visit [https://groups.google.com/groups/opt\_out](https://groups.google.com/groups/opt_out).
> 
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--  
[http://sematext.com/](http://sematext.com/) -- Elasticsearch -- Solr -- Lucene

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**Author:** ![vinod\_eligeti](https://avatars.discourse-cdn.com/v4/letter/v/c4cdca/32.png) [@vinod\_eligeti](https://discuss.elastic.co/u/vinod_eligeti)\
**Post date:** [May 10, 2013, 3:27pm UTC](https://discuss.elastic.co/t/how-many-indices-es-can-support/11887/6 "2013-05-10T15:27:52Z")

</div>

Alex,

I am fine if my purging routines are bit slow but if it takes order few  
hours to delete data then it may not be a feasible one. However, memory is  
an important consideration. Storing messages from all my users in one index  
(per day) may not save memory that much if the docs are completely  
different, no?

On Fri, May 10, 2013 at 12:50 AM, Alexander Reelsen [alr@spinscale.de](mailto:alr@spinscale.de)wrote:

> Hey vinod,
> 
> you are right, that the type is just another document field. Deleting by  
> type still means you delete data from an index instead of deleting the  
> whole index in your date+user index name example, which might be the better  
> way to go. Having indices per user and date comes at the cost of having to  
> open more file descriptors and use memory per index, but might save you a  
> lot time with your housekeeping routines, especially if you only need to  
> hold the data for a limited amount of time (if you got enough disk space it  
> might also be an option to just close the index, instead of deleting it, so  
> it does not eat up any other resources than diskspace).
> 
> --Alex
> 
> On Thu, May 9, 2013 at 8:24 PM, vinod eligeti [veligeti999@gmail.com](mailto:veligeti999@gmail.com)wrote:
> 
> > Radu,
> > 
> > As per my understanding as what you said for example, if I have _User1_and  
> > _User2_ as 2 doc types, Its much faster to delete the a single doc type,  
> > say User1, than to have one doc type say _Log_ and in that have a field  
> > _user_ which can hold values User1 and User2, is that correct?
> > 
> > I ES Guide section, doc type is just any other field of a document and  
> > defined by \*\_type, _implicit field, if thats the case why would deletion  
> > a doc type is faster than user field as deleting doc type internally should  
> > have mapped to \_type field which is same as bulk delete query of \*  
> > user=User1_?
> > 
> > I hope I am not confusing you with my example.
> > 
> > thanks
> > 
> > On Thursday, May 9, 2013 12:27:28 AM UTC-7, Radu Gheorghe wrote:
> > 
> > > Hello,
> > > 
> > > On Thu, May 9, 2013 at 2:25 AM, vinod eligeti [velig...@gmail.com](mailto:velig...@gmail.com)wrote:
> > > 
> > > > Hi,
> > > > 
> > > > Let me explain the problem which I am trying to address:
> > > > 
> > > > We have a system to store logs per user and each user produces around  
> > > > few Terabytes of logs per day. I have growing number of users, as per  
> > > > guidelines I can split the indices per day or per user however, I am  
> > > > thinking to create indices per account _and_ per day so the index name  
> > > > looks like
> > > > 
> > > > :
> > > > 
> > > > that means the number of indices will be (users \* no\_of\_days). So  
> > > > question begs is how many indices ES can support?
> > > 
> > > I'm not aware of such a limit. However, more indices imply more shards,  
> > > and each shard comes with a memory overhead. And, assuming you keep the  
> > > same merge policies, having more shards means more segments - so your data  
> > > will be less compact (more disk space used), and you'll need more open  
> > > files.
> > > 
> > > Since you say users send terabytes of logs per day, I assume you have a  
> > > pretty large cluster to handle that, so maybe the problems mentioned above  
> > > are negligible.
> > > 
> > > > The reason why i am creating index per user and per day is because of  
> > > > purging data policies. Each user logs can retained for certain number of  
> > > > days. So I assumed that its easier to delete whole index pertaining to that  
> > > > user and day. Other approach I can use is just create indices based on days  
> > > > and have log data store the username as one of the fields in document type  
> > > > and issue a query to bulk delete the logs with timestamp greater than  
> > > > retention period. I assume that the later approach is much expensive than  
> > > > deleting just the index. Is my assumption correct?
> > > 
> > > Yes, your assumption is correct. Deleting individual docs means  
> > > searching them all and marking them as deleted, so they can be purged in  
> > > the next merge (which will make merging more expensive as well). Deleting  
> > > indices is pretty much like deleting files on the disk.
> > > 
> > > If you want to have only one index per day, it might be worth to put  
> > > each user's logs in a different type. The type name is essentially just  
> > > another field (so no performance gain), but it's easier to index, search,  
> > > and delete when you're using the type name in the URL.
> > > 
> > > ## Best regards, Radu
> > > 
> > > [http://sematext.com/](http://sematext.com/) -- Elasticsearch -- Solr -- Lucene
> > 
> > --  
> > 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).
> > 
> > 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, 2:37am UTC](https://discuss.elastic.co/t/how-many-indices-es-can-support/11887/7 "2017-07-06T02:37:09Z")

</div>


