# Snapshot & Restore Performance

**URL:** <https://discuss.elastic.co/t/snapshot-restore-performance/22591>\
**Category:** Elasticsearch\
**Created:** [March 10, 2015, 12:34am UTC](https://discuss.elastic.co/t/snapshot-restore-performance/22591 "2015-03-10T00:34:56Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![mark\_2](https://avatars.discourse-cdn.com/v4/letter/m/b782af/32.png) [@mark\_2](https://discuss.elastic.co/u/mark_2)\
**Post date:** [March 10, 2015, 12:34am UTC](https://discuss.elastic.co/t/snapshot-restore-performance/22591/1 "2015-03-10T00:34:56Z")

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I recently have been testing the S3 snapshot and restore performance.

I'm able to pull down ~25GB across all 4 data nodes in 10 mins on a  
restore. On a given node, I seem to be only getting about 70-80 MBit/s, CPU  
utilization is near zero. On the one node that has two shards being  
restored to it, the through put is nearly double.

Is there anything I can do to increase the parallelism of the restore  
process? So I assume there is something perhaps limited at the shard level?

## My Repo Settings

{  
"type": "s3",  
"settings": {  
"bucket": "mybucket",  
"region": "us-east",  
"protocol": "https",  
"base\_path": "/elasticsearch",  
"secret\_key": "SECRET",  
"access\_key": "KEY",  
"max\_snapshot\_bytes\_per\_sec": "150mb",  
"max\_restore\_bytes\_per\_sec": "500mb"  
}  
}

## Cluster Info

ES 1.4.1  
4 Data Nodes r3.2xlarge (8 core, 30GB JVM heap, SSD's)  
5 Shards, 1 replica  
80GB primary store size (160GB w/ replica)

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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, 12:27am UTC](https://discuss.elastic.co/t/snapshot-restore-performance/22591/2 "2017-07-06T00:27:41Z")

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