# Reducing Disk Space Requirements/ Deduplication? Zipping?

**URL:** <https://discuss.elastic.co/t/reducing-disk-space-requirements-deduplication-zipping/17120>\
**Category:** Elasticsearch\
**Created:** [April 22, 2014, 8:25am UTC](https://discuss.elastic.co/t/reducing-disk-space-requirements-deduplication-zipping/17120 "2014-04-22T08:25:01Z")\
**Posts on this page:** 6\
**Page:** 1

<div class="post-metadata">

**Author:** ![german23](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/german23/32/11052_2.png) [@german23](https://discuss.elastic.co/u/german23)\
**Post date:** [April 22, 2014, 8:25am UTC](https://discuss.elastic.co/t/reducing-disk-space-requirements-deduplication-zipping/17120/1 "2014-04-22T08:25:01Z")

</div>

Hey Guys,

First of all our Setup of Elastisearch:

- 1 Node
- 16 GB Ram
- 4 CPU
- Version 0.9.7
- 5 Shards , 1 Replica
- Type of Logs: WinEvent-Logs, Unix-System Logs, Cisco-Device-Logs,  
Firewall-Logs etc.
- About 3 Million Logs per day

Using Logasth to collect Logs and Kibana to access it.

Today we started inserting our Netflow into Elasticsearch. In Fact we have  
a big Production Environment so what we got were about 25000 Logs per  
Second inserting into Elasticsearch.

It was no Problem for the System to manage this much Load but the Index  
grows pretty fast and after 1 hour of testing we got 800 MB of Data(This  
would be 19.2 GB of Data per Day and with a Log retention of 30 Day 576 GB  
of Data)

Because this much Data is unacceptable for our System i really would like  
to have ways to reduce the Disk Space Requirements.

I´ve tried reducing the Disk Space by using the Compression Method inbuilt  
in Elasticsearch, setting \_source to compress. Unfortunate this doesnt  
helped much.

Also tried to use the \_optimze command since someone wrote this would help  
reducing the Disk Space - Had no effect.

The Goal is to reduce the 576 GB of Data to sth about 80-100 GB.

The First Thing what i could do is to reduce the Number of Shards to 2  
which would reduce the Space Storage to about 220 GB. But i really doesnt  
want to do that in case we add more nodes to the System.

The Next Thing i thinked about was adding a Deduplication File System to  
the ES-Node, but i dont think that De-Dup has much effect on a ES-Index -  
Any Experience in using that?

The last and the most obvious Thing is to Zip the Indices to Tarball or  
.zip. I think thats our Solution for Long-Term Storage (up to 2 Years) but  
its no solution for active Indices(The 30 days) since they would not be  
searchable by Kibana.

So any of you Guys have Suggestion for us?

Cheers

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**Author:** ![warkolm](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/warkolm/32/39224_2.png) [@warkolm](https://discuss.elastic.co/u/warkolm)\
**Post date:** [April 22, 2014, 9:00am UTC](https://discuss.elastic.co/t/reducing-disk-space-requirements-deduplication-zipping/17120/2 "2014-04-22T09:00:36Z")

</div>

Reducing shards won't help, you will still have the same amount of data,  
it's just won't be sharded as much.  
It's possible that using a dedupe FS will help as logs data can be  
repetitive, but you'd really have to try it to see.  
Zipping is an option, you could close older indexes and then zip them, and  
doing the reverse to be able to read them when you want. However that adds  
a lot of complexity and delay, which you might be ok with.

Ultimately, you won't get that sort of compression factor using the inbuilt  
ES functionality, we saw about a 30-50% reduction in size when we enabled  
compression in 0.90.N, but 70%+ is a big ask. Your best option would  
probably be to not store the \_source.

Regards,  
Mark Walkom

Infrastructure Engineer  
Campaign Monitor  
email: [markw@campaignmonitor.com](mailto:markw@campaignmonitor.com)  
web: [www.campaignmonitor.com](http://www.campaignmonitor.com)

On 22 April 2014 18:25, horst knete [baduncle23@hotmail.de](mailto:baduncle23@hotmail.de) wrote:

> Hey Guys,
> 
> First of all our Setup of Elastisearch:
> 
> - 1 Node
> - 16 GB Ram
> - 4 CPU
> - Version 0.9.7
> - 5 Shards , 1 Replica
> - Type of Logs: WinEvent-Logs, Unix-System Logs, Cisco-Device-Logs,  
> Firewall-Logs etc.
> - About 3 Million Logs per day
> 
> Using Logasth to collect Logs and Kibana to access it.
> 
> Today we started inserting our Netflow into Elasticsearch. In Fact we have  
> a big Production Environment so what we got were about 25000 Logs per  
> Second inserting into Elasticsearch.
> 
> It was no Problem for the System to manage this much Load but the Index  
> grows pretty fast and after 1 hour of testing we got 800 MB of Data(This  
> would be 19.2 GB of Data per Day and with a Log retention of 30 Day 576 GB  
> of Data)
> 
> Because this much Data is unacceptable for our System i really would like  
> to have ways to reduce the Disk Space Requirements.
> 
> I´ve tried reducing the Disk Space by using the Compression Method inbuilt  
> in Elasticsearch, setting \_source to compress. Unfortunate this doesnt  
> helped much.
> 
> Also tried to use the \_optimze command since someone wrote this would help  
> reducing the Disk Space - Had no effect.
> 
> The Goal is to reduce the 576 GB of Data to sth about 80-100 GB.
> 
> The First Thing what i could do is to reduce the Number of Shards to 2  
> which would reduce the Space Storage to about 220 GB. But i really doesnt  
> want to do that in case we add more nodes to the System.
> 
> The Next Thing i thinked about was adding a Deduplication File System to  
> the ES-Node, but i dont think that De-Dup has much effect on a ES-Index -  
> Any Experience in using that?
> 
> The last and the most obvious Thing is to Zip the Indices to Tarball or  
> .zip. I think thats our Solution for Long-Term Storage (up to 2 Years) but  
> its no solution for active Indices(The 30 days) since they would not be  
> searchable by Kibana.
> 
> So any of you Guys have Suggestion for us?
> 
> Cheers
> 
> --  
> You received this message because you are subscribed to the Google Groups  
> "elasticsearch" group.  
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> To view this discussion on the web visit  
> [https://groups.google.com/d/msgid/elasticsearch/a5e95978-cadd-4953-98b1-52af9a8c84ce%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/a5e95978-cadd-4953-98b1-52af9a8c84ce%40googlegroups.com)[https://groups.google.com/d/msgid/elasticsearch/a5e95978-cadd-4953-98b1-52af9a8c84ce%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/a5e95978-cadd-4953-98b1-52af9a8c84ce%40googlegroups.com?utm_medium=email&utm_source=footer)  
> .  
> For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

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**Author:** ![jprante](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/jprante/32/44941_2.png) [@jprante](https://discuss.elastic.co/u/jprante)\
**Post date:** [April 22, 2014, 9:30am UTC](https://discuss.elastic.co/t/reducing-disk-space-requirements-deduplication-zipping/17120/3 "2014-04-22T09:30:04Z")

</div>

Did you calculate 25000 logs per second volume?

Given an estimated average log entry size of 100 bytes:

25.000 logs/sec  
= 2.500.000 bytes/sec  
= 9.000.000.000 bytes/hour  
= 216.000.000.000 bytes/day  
= 6.480.000.000.000 bytes/month  
= 6.328.125.000 KB/month  
= 6.179.809,5703125 MB/month  
= 6.034,97028350830078 GB/month  
= 5,89352566748857 TB/month

You can expect 6 TB input data volume. So 576 GB index size a month is very  
small.

Active ES indices are LZF compressed by default. There is no possibility to  
reduce them more siginificantly except reducing input size, reducing  
replica, or by using special mappings.

Special mappings may help in case you want to drop some Kibana features.  
E.g. you could use keyword analyzer for all strings, throw away field  
norms, term vectors, etc. plus disabling \_all and \_source. This saves some  
space but the price to pay is less "searchability" - careful testing is  
required if your search requirements are still met. And I am sure you will  
not reach 80-100GB a month.

So my personal recommendation is: You should always plan with TB storage  
for Elasticsearch indices for log analysis applications.

Jörg

On Tue, Apr 22, 2014 at 10:25 AM, horst knete [baduncle23@hotmail.de](mailto:baduncle23@hotmail.de) wrote:

> Hey Guys,
> 
> First of all our Setup of Elastisearch:
> 
> - 1 Node
> - 16 GB Ram
> - 4 CPU
> - Version 0.9.7
> - 5 Shards , 1 Replica
> - Type of Logs: WinEvent-Logs, Unix-System Logs, Cisco-Device-Logs,  
> Firewall-Logs etc.
> - About 3 Million Logs per day
> 
> Using Logasth to collect Logs and Kibana to access it.
> 
> Today we started inserting our Netflow into Elasticsearch. In Fact we have  
> a big Production Environment so what we got were about 25000 Logs per  
> Second inserting into Elasticsearch.
> 
> It was no Problem for the System to manage this much Load but the Index  
> grows pretty fast and after 1 hour of testing we got 800 MB of Data(This  
> would be 19.2 GB of Data per Day and with a Log retention of 30 Day 576 GB  
> of Data)
> 
> Because this much Data is unacceptable for our System i really would like  
> to have ways to reduce the Disk Space Requirements.
> 
> I´ve tried reducing the Disk Space by using the Compression Method inbuilt  
> in Elasticsearch, setting \_source to compress. Unfortunate this doesnt  
> helped much.
> 
> Also tried to use the \_optimze command since someone wrote this would help  
> reducing the Disk Space - Had no effect.
> 
> The Goal is to reduce the 576 GB of Data to sth about 80-100 GB.
> 
> The First Thing what i could do is to reduce the Number of Shards to 2  
> which would reduce the Space Storage to about 220 GB. But i really doesnt  
> want to do that in case we add more nodes to the System.
> 
> The Next Thing i thinked about was adding a Deduplication File System to  
> the ES-Node, but i dont think that De-Dup has much effect on a ES-Index -  
> Any Experience in using that?
> 
> The last and the most obvious Thing is to Zip the Indices to Tarball or  
> .zip. I think thats our Solution for Long-Term Storage (up to 2 Years) but  
> its no solution for active Indices(The 30 days) since they would not be  
> searchable by Kibana.
> 
> So any of you Guys have Suggestion for us?
> 
> Cheers
> 
> --  
> 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).  
> To view this discussion on the web visit  
> [https://groups.google.com/d/msgid/elasticsearch/a5e95978-cadd-4953-98b1-52af9a8c84ce%40googlegroups.com](https://groups.google.com/d/msgid/elasticsearch/a5e95978-cadd-4953-98b1-52af9a8c84ce%40googlegroups.com)[https://groups.google.com/d/msgid/elasticsearch/a5e95978-cadd-4953-98b1-52af9a8c84ce%40googlegroups.com?utm\_medium=email&utm\_source=footer](https://groups.google.com/d/msgid/elasticsearch/a5e95978-cadd-4953-98b1-52af9a8c84ce%40googlegroups.com?utm_medium=email&utm_source=footer)  
> .  
> For more options, visit [https://groups.google.com/d/optout](https://groups.google.com/d/optout).

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**Author:** ![german23](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/german23/32/11052_2.png) [@german23](https://discuss.elastic.co/u/german23)\
**Post date:** [April 22, 2014, 11:26am UTC](https://discuss.elastic.co/t/reducing-disk-space-requirements-deduplication-zipping/17120/4 "2014-04-22T11:26:14Z")

</div>

> Hi,

thanks for your quick response.

@Jörg: The 576 GB i calculated was from the results we got as we tested the  
input of the netflow data ( we tested it 15 Minutes and got about 200MB of  
Data ).

Regarding to your answers i will try adjust the mapping as best as possible  
(i think disabling \_source and \_all will do a good job) and see how it  
impacts on Kibana.

I will update you in this thread how much Space were saved with this new  
Settings.

> 

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**Author:** ![John\_Arnold\_GNS](https://avatars.discourse-cdn.com/v4/letter/j/fbc32d/32.png) [@John\_Arnold\_GNS](https://discuss.elastic.co/u/John_Arnold_GNS)\
**Post date:** [April 23, 2014, 3:17pm UTC](https://discuss.elastic.co/t/reducing-disk-space-requirements-deduplication-zipping/17120/5 "2014-04-23T15:17:06Z")

</div>

Since netflow data is not text, you're using elasticsearch like a  
distributed "SQL" database. You should turn of analysis for all of the  
netflow fields within your ES template, and drop any fields you don't  
REALLY really need.

Also, consider using pmacct ([pmacct.net](http://pmacct.net)) as a pre-aggregator and  
"shipper", if you aggregate to something like every 1min you may get the  
compression you're looking for and still have good data granularity.

Also, 1/2TB per month is pretty cheap... disk is cheap man. CPU and mem  
is expensive, and you're burning a helluva lot of that at 25k netflow  
packets/sec...

On Tuesday, April 22, 2014 4:26:14 AM UTC-7, horst knete wrote:

> Hi,
> 
> > 
> 
> thanks for your quick response.
> 
> @Jörg: The 576 GB i calculated was from the results we got as we tested  
> the input of the netflow data ( we tested it 15 Minutes and got about 200MB  
> of Data ).
> 
> Regarding to your answers i will try adjust the mapping as best as  
> possible (i think disabling \_source and \_all will do a good job) and see  
> how it impacts on Kibana.
> 
> I will update you in this thread how much Space were saved with this new  
> Settings.
> 
> >

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**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, 1:34am UTC](https://discuss.elastic.co/t/reducing-disk-space-requirements-deduplication-zipping/17120/6 "2017-07-06T01:34:03Z")

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