# Manage priority for recovery/index/search

**URL:** <https://discuss.elastic.co/t/manage-priority-for-recovery-index-search/17058>\
**Category:** Elasticsearch\
**Created:** [April 17, 2014, 7:02am UTC](https://discuss.elastic.co/t/manage-priority-for-recovery-index-search/17058 "2014-04-17T07:02:55Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![pavlick](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/pavlick/32/535_2.png) [@pavlick](https://discuss.elastic.co/u/pavlick)\
**Post date:** [April 17, 2014, 7:02am UTC](https://discuss.elastic.co/t/manage-priority-for-recovery-index-search/17058/1 "2014-04-17T07:02:55Z")

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Hello,

My cluster consists of 20 nodes (3 masters + 17 data nodes) handles apr.  
100 indices (8 shards + 1 replica). At the moment there is no client nodes,  
all bulk requests balancing between 3 master nodes, all search requests  
balancing between all 20 nodes. Application can close "cold" indices and  
open indices on demand. Most of time only 8 indices are opened. During  
dynamic open/close indices (recovery, rebalance processes) I see  
performance degradation of searching and bulk indexing in currently active  
(green) indices. Normal bulk index request takes less than 1 second, but  
while recovering or relocating other indices one bulk request can take more  
than 100 sec.  
As I understand, recovery and rebalancing have a higher priority than bulk  
and searching. Is there any possibility to manage priority for recovery and  
rebalancing for indices that open on demand? Or how can I reduce  
search/index degradation while recovering other indices. Application allows  
only requests to green indices.

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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, 1:35am UTC](https://discuss.elastic.co/t/manage-priority-for-recovery-index-search/17058/2 "2017-07-06T01:35:21Z")

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