# Replication basics

**URL:** <https://discuss.elastic.co/t/replication-basics/6343>\
**Category:** Elasticsearch\
**Created:** [January 11, 2012, 5:03am UTC](https://discuss.elastic.co/t/replication-basics/6343 "2012-01-11T05:03:12Z")\
**Posts on this page:** 15\
**Page:** 1

<div class="post-metadata">

**Author:** ![Nick\_Hoffman](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nick_hoffman/32/1872_2.png) [@Nick\_Hoffman](https://discuss.elastic.co/u/Nick_Hoffman)\
**Post date:** [January 11, 2012, 5:03am UTC](https://discuss.elastic.co/t/replication-basics/6343/1 "2012-01-11T05:03:12Z")

</div>

Hey guys. I'm running an instance of ES on 2 different hosts. If I want to  
have their data synchronized automatically, do I just do the following?

1. In each host's ES config file,  
disable discovery.zen.ping.multicast.enabled .

2. In each host's ES config file, set discovery.zen.ping.unicast.hosts to  
the other host's hostname/IP address.

3. Restart ES on each host.

4. Configure each index to have 1 shard and 1 replica.

Thanks!  
Nick

---

<div class="post-metadata">

**Author:** ![kimchy](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/kimchy/32/44952_2.png) [@kimchy](https://discuss.elastic.co/u/kimchy)\
**Post date:** [January 11, 2012, 6:06pm UTC](https://discuss.elastic.co/t/replication-basics/6343/2 "2012-01-11T18:06:30Z")

</div>

You are doing two things here:

1. Use unicast instead of multicast discovery. Thats fine, you disable  
multicast in this case correctly, and set the hosts in the unicast list. I  
suggest simply setting a list of all hosts in the unicast hosts list  
(including the current one, thats fine) so the config file will be the same.

2. If you want to have an a 1 replica for each shard, yea, have  
index.number\_of\_replicas of 1 (the default). As to the number of shards, up  
to you, 1 can be a good number, but it means your index size won't be able  
to scale over one machine. You can have more shards for the index, and if  
you, in the future, add more machines, it will scale to use those machines.  
See more here:  
[Elasticsearch Platform — Find real-time answers at scale | Elastic](http://www.elasticsearch.org/videos/2010/02/08/es-distributed-diagram.html).

-shay.banon

On Wed, Jan 11, 2012 at 7:03 AM, Nick Hoffman [nick@deadorange.com](mailto:nick@deadorange.com) wrote:

> Hey guys. I'm running an instance of ES on 2 different hosts. If I want to  
> have their data synchronized automatically, do I just do the following?
> 
> 1. In each host's ES config file,  
> disable discovery.zen.ping.multicast.enabled .
> 
> 2. In each host's ES config file, set discovery.zen.ping.unicast.hosts to  
> the other host's hostname/IP address.
> 
> 3. Restart ES on each host.
> 
> 4. Configure each index to have 1 shard and 1 replica.
> 
> Thanks!  
> Nick

---

<div class="post-metadata">

**Author:** ![Nick\_Hoffman](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nick_hoffman/32/1872_2.png) [@Nick\_Hoffman](https://discuss.elastic.co/u/Nick_Hoffman)\
**Post date:** [January 11, 2012, 8:58pm UTC](https://discuss.elastic.co/t/replication-basics/6343/3 "2012-01-11T20:58:28Z")

</div>

On Wednesday, 11 January 2012 13:06:30 UTC-5, kimchy wrote:

> You are doing two things here:
> 
> 1. Use unicast instead of multicast discovery. Thats fine, you disable  
> multicast in this case correctly, and set the hosts in the unicast list. I  
> suggest simply setting a list of all hosts in the unicast hosts list  
> (including the current one, thats fine) so the config file will be the same.

That's a lot more convenient.

> 1. If you want to have an a 1 replica for each shard, yea, have  
> index.number\_of\_replicas of 1 (the default). As to the number of shards, up  
> to you, 1 can be a good number, but it means your index size won't be able  
> to scale over one machine. You can have more shards for the index, and if  
> you, in the future, add more machines, it will scale to use those machines.  
> See more here:  
> [Elasticsearch Platform — Find real-time answers at scale | Elastic](http://www.elasticsearch.org/videos/2010/02/08/es-distributed-diagram.html)  
> .

I was thinking that I'd leave each index with 1 shard, and when I add more  
nodes in the future, I'd increase the number of shards accordingly.

With only 2 nodes, is there any benefit to having more than 1 shard per  
index?

Thanks for your help, Shay. Much appreciated.  
Nick

---

<div class="post-metadata">

**Author:** ![AEvar\_Arnfjord\_Bjarm](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/aevar_arnfjord_bjarm/32/2746_2.png) [@AEvar\_Arnfjord\_Bjarm](https://discuss.elastic.co/u/AEvar_Arnfjord_Bjarm)\
**Post date:** [January 11, 2012, 11:59pm UTC](https://discuss.elastic.co/t/replication-basics/6343/4 "2012-01-11T23:59:42Z")

</div>

You can't change the number of shards later on, only the number of  
replicas. Making it say 8 instead of 1 gives you room to grow without  
needing to rebuild the index.  
On Jan 11, 2012 9:58 PM, "Nick Hoffman" [nick@deadorange.com](mailto:nick@deadorange.com) wrote:

> On Wednesday, 11 January 2012 13:06:30 UTC-5, kimchy wrote:
> 
> > You are doing two things here:
> > 
> > 1. Use unicast instead of multicast discovery. Thats fine, you disable  
> > multicast in this case correctly, and set the hosts in the unicast list. I  
> > suggest simply setting a list of all hosts in the unicast hosts list  
> > (including the current one, thats fine) so the config file will be the same.
> 
> That's a lot more convenient.
> 
> > 1. If you want to have an a 1 replica for each shard, yea, have  
> > index.number\_of\_replicas of 1 (the default). As to the number of shards, up  
> > to you, 1 can be a good number, but it means your index size won't be able  
> > to scale over one machine. You can have more shards for the index, and if  
> > you, in the future, add more machines, it will scale to use those machines.  
> > See more here: [http://www](http://www).**[Elasticsearch Platform — Find real-time answers at scale | Elastic](http://elasticsearch.org/videos/2010/)**  
> > 02/08/es-distributed-diagram.\*\*html[http://www.elasticsearch.org/videos/2010/02/08/es-distributed-diagram.html](http://www.elasticsearch.org/videos/2010/02/08/es-distributed-diagram.html)  
> > .
> 
> I was thinking that I'd leave each index with 1 shard, and when I add more  
> nodes in the future, I'd increase the number of shards accordingly.
> 
> With only 2 nodes, is there any benefit to having more than 1 shard per  
> index?
> 
> Thanks for your help, Shay. Much appreciated.  
> Nick

---

<div class="post-metadata">

**Author:** ![Nick\_Hoffman](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nick_hoffman/32/1872_2.png) [@Nick\_Hoffman](https://discuss.elastic.co/u/Nick_Hoffman)\
**Post date:** [January 12, 2012, 12:36am UTC](https://discuss.elastic.co/t/replication-basics/6343/5 "2012-01-12T00:36:47Z")

</div>

On Wednesday, 11 January 2012 18:59:42 UTC-5, Ævar Arnfjörð Bjarmason wrote:

> You can't change the number of shards later on, only the number of  
> replicas. Making it say 8 instead of 1 gives you room to grow without  
> needing to rebuild the index.

Ah, true. I'd forgotten that a reindex is required to change the number of  
shards.

If you have only 2 nodes, and set each index to have 8 shards:

1. Will each index be sharded across the 2 nodes?

2. Will adding a 3rd node rebalance the indexes across all 3 nodes?

Cheers,  
Nick

---

<div class="post-metadata">

**Author:** ![kimchy](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/kimchy/32/44952_2.png) [@kimchy](https://discuss.elastic.co/u/kimchy)\
**Post date:** [January 12, 2012, 10:24am UTC](https://discuss.elastic.co/t/replication-basics/6343/6 "2012-01-12T10:24:07Z")

</div>

On Thu, Jan 12, 2012 at 2:36 AM, Nick Hoffman [nick@deadorange.com](mailto:nick@deadorange.com) wrote:

> On Wednesday, 11 January 2012 18:59:42 UTC-5, Ævar Arnfjörð Bjarmason  
> wrote:
> 
> > You can't change the number of shards later on, only the number of  
> > replicas. Making it say 8 instead of 1 gives you room to grow without  
> > needing to rebuild the index.
> 
> Ah, true. I'd forgotten that a reindex is required to change the number of  
> shards.
> 
> If you have only 2 nodes, and set each index to have 8 shards:
> 
> 1. Will each index be sharded across the 2 nodes?

Yes, you will have 8 shards on one node, and 8 replicas on the other.

> 1. Will adding a 3rd node rebalance the indexes across all 3 nodes?

Yes.

> Cheers,  
> Nick

---

<div class="post-metadata">

**Author:** ![Nick\_Hoffman](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nick_hoffman/32/1872_2.png) [@Nick\_Hoffman](https://discuss.elastic.co/u/Nick_Hoffman)\
**Post date:** [January 12, 2012, 4:14pm UTC](https://discuss.elastic.co/t/replication-basics/6343/7 "2012-01-12T16:14:31Z")

</div>

On Thursday, 12 January 2012 05:24:07 UTC-5, kimchy wrote:

> On Thu, Jan 12, 2012 at 2:36 AM, Nick Hoffman [ni...@deadorange.com](mailto:ni...@deadorange.com)wrote:
> 
> > If you have only 2 nodes, and set each index to have 8 shards:
> > 
> > 1. Will each index be sharded across the 2 nodes?
> 
> Yes, you will have 8 shards on one node, and 8 replicas on the other.

That's awesome. My only question is how do you determine how many shards to  
use? 2, 5, 8, etc seem like arbitrary numbers.

Thanks again, Shay.

---

<div class="post-metadata">

**Author:** ![kimchy](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/kimchy/32/44952_2.png) [@kimchy](https://discuss.elastic.co/u/kimchy)\
**Post date:** [January 12, 2012, 11:17pm UTC](https://discuss.elastic.co/t/replication-basics/6343/8 "2012-01-12T23:17:23Z")

</div>

Yea, deciding the number requires a bit of work. What I usually recommend  
people is to create a single index with a single shard, on a single  
instance and "shove" data to it. Find that upper limit based on your data  
set and search requirements. You should get a number out of it. Something  
like N docs, or X size. Then, you can extrapolate from there.

On Thu, Jan 12, 2012 at 6:14 PM, Nick Hoffman [nick@deadorange.com](mailto:nick@deadorange.com) wrote:

> On Thursday, 12 January 2012 05:24:07 UTC-5, kimchy wrote:
> 
> > On Thu, Jan 12, 2012 at 2:36 AM, Nick Hoffman [ni...@deadorange.com](mailto:ni...@deadorange.com)wrote:
> > 
> > > If you have only 2 nodes, and set each index to have 8 shards:
> > > 
> > > 1. Will each index be sharded across the 2 nodes?
> > 
> > Yes, you will have 8 shards on one node, and 8 replicas on the other.
> 
> That's awesome. My only question is how do you determine how many shards  
> to use? 2, 5, 8, etc seem like arbitrary numbers.
> 
> Thanks again, Shay.

---

<div class="post-metadata">

**Author:** ![Nick\_Hoffman](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nick_hoffman/32/1872_2.png) [@Nick\_Hoffman](https://discuss.elastic.co/u/Nick_Hoffman)\
**Post date:** [January 13, 2012, 5:11am UTC](https://discuss.elastic.co/t/replication-basics/6343/9 "2012-01-13T05:11:29Z")

</div>

On Thursday, 12 January 2012 18:17:23 UTC-5, kimchy wrote:

> Yea, deciding the number requires a bit of work. What I usually recommend  
> people is to create a single index with a single shard, on a single  
> instance and "shove" data to it. Find that upper limit based on your data  
> set and search requirements. You should get a number out of it. Something  
> like N docs, or X size. Then, you can extrapolate from there.

Interesting. Once you find the max number of docs that can be stored in a  
single instance, for example, what exactly do you extrapolate from that  
number?

I guess some applications will have a finite number of docs indexed, which  
would enable you to calculate how many shards you'll need when you reach  
that finite number.

However, if there's no upper limit to the number of documents that you'll  
index, I'm not sure how knowing how many docs can be stored in an instance  
will help.

Cheers,  
Nick

---

<div class="post-metadata">

**Author:** ![Berkay\_Mollamustafao](https://avatars.discourse-cdn.com/v4/letter/b/22d042/32.png) [@Berkay\_Mollamustafao](https://discuss.elastic.co/u/Berkay_Mollamustafao)\
**Post date:** [January 13, 2012, 5:26am UTC](https://discuss.elastic.co/t/replication-basics/6343/10 "2012-01-13T05:26:57Z")

</div>

Nick,

I think you can use index aliases and create new indices as number of docs  
increase

> **[Elasticsearch Platform — Find real-time answers at scale](https://www.elastic.co)**
>
> Power insights and outcomes with the Elasticsearch Platform and AI. See into your data and find answers that matter with enterprise solutions designed to help you build, observe, and protect. Try Elasticsearch free today.

Elasticsearch allows assigning the same alias to multiple indices. Taking  
advantage of this feature, once you reach the max number of docs or size  
you've determined, create a new index, associate the alias with new index.  
In a way, having an alias with multiple indices is similar to having an  
index with multiple shards.

Regards,  
Berkay Mollamustafaoglu  
mberkay on yahoo, google and skype

On Fri, Jan 13, 2012 at 12:11 AM, Nick Hoffman [nick@deadorange.com](mailto:nick@deadorange.com) wrote:

> On Thursday, 12 January 2012 18:17:23 UTC-5, kimchy wrote:
> 
> > Yea, deciding the number requires a bit of work. What I usually recommend  
> > people is to create a single index with a single shard, on a single  
> > instance and "shove" data to it. Find that upper limit based on your data  
> > set and search requirements. You should get a number out of it. Something  
> > like N docs, or X size. Then, you can extrapolate from there.
> 
> Interesting. Once you find the max number of docs that can be stored in a  
> single instance, for example, what exactly do you extrapolate from that  
> number?
> 
> I guess some applications will have a finite number of docs indexed, which  
> would enable you to calculate how many shards you'll need when you reach  
> that finite number.
> 
> However, if there's no upper limit to the number of documents that you'll  
> index, I'm not sure how knowing how many docs can be stored in an instance  
> will help.
> 
> Cheers,  
> Nick

---

<div class="post-metadata">

**Author:** ![kimchy](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/kimchy/32/44952_2.png) [@kimchy](https://discuss.elastic.co/u/kimchy)\
**Post date:** [January 13, 2012, 8:12am UTC](https://discuss.elastic.co/t/replication-basics/6343/11 "2012-01-13T08:12:15Z")

</div>

First of all, it will help with your sizing both your data and the number  
of nodes you will need. As to systems that don't have a limit to the number  
of docs, it really depends on how the data flows. In theory, my blog has no  
limit on the number posts it will have, but I am not going to post 1  
billion posts on it.

First, the most common case. You run your tests, and see that a single  
shard can hold 100 million docs. In your wildest expectation, you are not  
going to cross 1 billion. Thats simple, have an index with 10 shards,  
enough hardware, and be done with it. Thats where most system fall, yet  
many "think" they need to support unlimited data, and over-engineer.

For continuos stream of data, like log files, you can use the ability to  
create indices on the fly, so you can have an index per week / month and so  
on. A system that index the tweets that come along can use that as well.  
You can easily search over several indices.

Another type is data that can be highly partitioned. User based data for  
example. You can use the username to do the routing (both when indexing and  
searching), and create a considerable number of shards. The number of  
shards does not affect search - on limited HW - since you don't search on  
all of them, you route based on user name. For example, you can create a  
200 shard system on 4 nodes and that will work fine.

-shay.banon

On Fri, Jan 13, 2012 at 7:11 AM, Nick Hoffman [nick@deadorange.com](mailto:nick@deadorange.com) wrote:

> On Thursday, 12 January 2012 18:17:23 UTC-5, kimchy wrote:
> 
> > Yea, deciding the number requires a bit of work. What I usually recommend  
> > people is to create a single index with a single shard, on a single  
> > instance and "shove" data to it. Find that upper limit based on your data  
> > set and search requirements. You should get a number out of it. Something  
> > like N docs, or X size. Then, you can extrapolate from there.
> 
> Interesting. Once you find the max number of docs that can be stored in a  
> single instance, for example, what exactly do you extrapolate from that  
> number?
> 
> I guess some applications will have a finite number of docs indexed, which  
> would enable you to calculate how many shards you'll need when you reach  
> that finite number.
> 
> However, if there's no upper limit to the number of documents that you'll  
> index, I'm not sure how knowing how many docs can be stored in an instance  
> will help.
> 
> Cheers,  
> Nick

---

<div class="post-metadata">

**Author:** ![Nick\_Hoffman](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/nick_hoffman/32/1872_2.png) [@Nick\_Hoffman](https://discuss.elastic.co/u/Nick_Hoffman)\
**Post date:** [January 16, 2012, 6:34am UTC](https://discuss.elastic.co/t/replication-basics/6343/12 "2012-01-16T06:34:35Z")

</div>

Thanks for taking the time to explain that, Shay. It makes a lot of sense.

Cheers,  
Nick

---

<div class="post-metadata">

**Author:** ![Treff7es](https://avatars.discourse-cdn.com/v4/letter/t/9fc348/32.png) [@Treff7es](https://discuss.elastic.co/u/Treff7es)\
**Post date:** [January 16, 2012, 10:14am UTC](https://discuss.elastic.co/t/replication-basics/6343/13 "2012-01-16T10:14:16Z")

</div>

Just to feed my curiosity:  
Is there any drawback of creating new index?  
Is there any limitation how many indices can be created?

Thanks,  
Tamas

On Jan 13, 9:12 am, Shay Banon [kim...@gmail.com](mailto:kim...@gmail.com) wrote:

> First of all, it will help with your sizing both your data and the number  
> of nodes you will need. As to systems that don't have a limit to the number  
> of docs, it really depends on how the data flows. In theory, my blog has no  
> limit on the number posts it will have, but I am not going to post 1  
> billion posts on it.
> 
> First, the most common case. You run your tests, and see that a single  
> shard can hold 100 million docs. In your wildest expectation, you are not  
> going to cross 1 billion. Thats simple, have an index with 10 shards,  
> enough hardware, and be done with it. Thats where most system fall, yet  
> many "think" they need to support unlimited data, and over-engineer.
> 
> For continuos stream of data, like log files, you can use the ability to  
> create indices on the fly, so you can have an index per week / month and so  
> on. A system that index the tweets that come along can use that as well.  
> You can easily search over several indices.
> 
> Another type is data that can be highly partitioned. User based data for  
> example. You can use the username to do the routing (both when indexing and  
> searching), and create a considerable number of shards. The number of  
> shards does not affect search - on limited HW - since you don't search on  
> all of them, you route based on user name. For example, you can create a  
> 200 shard system on 4 nodes and that will work fine.
> 
> -shay.banon
> 
> On Fri, Jan 13, 2012 at 7:11 AM, Nick Hoffman [n...@deadorange.com](mailto:n...@deadorange.com) wrote:
> 
> > On Thursday, 12 January 2012 18:17:23 UTC-5, kimchy wrote:
> 
> > > Yea, deciding the number requires a bit of work. What I usually recommend  
> > > people is to create a single index with a single shard, on a single  
> > > instance and "shove" data to it. Find that upper limit based on your data  
> > > set and search requirements. You should get a number out of it. Something  
> > > like N docs, or X size. Then, you can extrapolate from there.
> 
> > Interesting. Once you find the max number of docs that can be stored in a  
> > single instance, for example, what exactly do you extrapolate from that  
> > number?
> 
> > I guess some applications will have a finite number of docs indexed, which  
> > would enable you to calculate how many shards you'll need when you reach  
> > that finite number.
> 
> > However, if there's no upper limit to the number of documents that you'll  
> > index, I'm not sure how knowing how many docs can be stored in an instance  
> > will help.
> 
> > Cheers,  
> > Nick- Hide quoted text -
> 
> - Show quoted text -

---

<div class="post-metadata">

**Author:** ![kimchy](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/kimchy/32/44952_2.png) [@kimchy](https://discuss.elastic.co/u/kimchy)\
**Post date:** [January 17, 2012, 9:35am UTC](https://discuss.elastic.co/t/replication-basics/6343/14 "2012-01-17T09:35:58Z")

</div>

On Mon, Jan 16, 2012 at 12:14 PM, Treff7es [treff7es@gmail.com](mailto:treff7es@gmail.com) wrote:

> Just to feed my curiosity:  
> Is there any drawback of creating new index?  
> Is there any limitation how many indices can be created?

There is a limit, mainly coming from resources associated with an index (or  
more specifically a shard). Each shard is a Lucene index, that comes with  
its overhead (memory usage, file descriptors). So, creating an 1000 indices  
(with a single shard lets say) on a single node will probably tax the  
system too much. Usually, you solve this with things like routing and using  
a single index with a considerable more shards than you might need (since  
when you search, you will hit a single shard).

> Thanks,  
> Tamas
> 
> On Jan 13, 9:12 am, Shay Banon [kim...@gmail.com](mailto:kim...@gmail.com) wrote:
> 
> > First of all, it will help with your sizing both your data and the number  
> > of nodes you will need. As to systems that don't have a limit to the  
> > number  
> > of docs, it really depends on how the data flows. In theory, my blog has  
> > no  
> > limit on the number posts it will have, but I am not going to post 1  
> > billion posts on it.
> > 
> > First, the most common case. You run your tests, and see that a single  
> > shard can hold 100 million docs. In your wildest expectation, you are not  
> > going to cross 1 billion. Thats simple, have an index with 10 shards,  
> > enough hardware, and be done with it. Thats where most system fall, yet  
> > many "think" they need to support unlimited data, and over-engineer.
> > 
> > For continuos stream of data, like log files, you can use the ability to  
> > create indices on the fly, so you can have an index per week / month and  
> > so  
> > on. A system that index the tweets that come along can use that as well.  
> > You can easily search over several indices.
> > 
> > Another type is data that can be highly partitioned. User based data for  
> > example. You can use the username to do the routing (both when indexing  
> > and  
> > searching), and create a considerable number of shards. The number of  
> > shards does not affect search - on limited HW - since you don't search on  
> > all of them, you route based on user name. For example, you can create a  
> > 200 shard system on 4 nodes and that will work fine.
> > 
> > -shay.banon
> > 
> > On Fri, Jan 13, 2012 at 7:11 AM, Nick Hoffman [n...@deadorange.com](mailto:n...@deadorange.com)  
> > wrote:
> > 
> > > On Thursday, 12 January 2012 18:17:23 UTC-5, kimchy wrote:
> > 
> > > > Yea, deciding the number requires a bit of work. What I usually  
> > > > recommend  
> > > > people is to create a single index with a single shard, on a single  
> > > > instance and "shove" data to it. Find that upper limit based on your  
> > > > data  
> > > > set and search requirements. You should get a number out of it.  
> > > > Something  
> > > > like N docs, or X size. Then, you can extrapolate from there.
> > 
> > > Interesting. Once you find the max number of docs that can be stored  
> > > in a  
> > > single instance, for example, what exactly do you extrapolate from that  
> > > number?
> > 
> > > I guess some applications will have a finite number of docs indexed,  
> > > which  
> > > would enable you to calculate how many shards you'll need when you  
> > > reach  
> > > that finite number.
> > 
> > > However, if there's no upper limit to the number of documents that  
> > > you'll  
> > > index, I'm not sure how knowing how many docs can be stored in an  
> > > instance  
> > > will help.
> > 
> > > Cheers,  
> > > Nick- Hide quoted text -
> > 
> > - Show quoted text -

---

<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, 3:42am UTC](https://discuss.elastic.co/t/replication-basics/6343/15 "2017-07-06T03:42:33Z")

</div>


