# Search time with multiple aliases

**URL:** <https://discuss.elastic.co/t/search-time-with-multiple-aliases/103362>\
**Category:** Elasticsearch\
**Created:** [October 10, 2017, 11:53am UTC](https://discuss.elastic.co/t/search-time-with-multiple-aliases/103362 "2017-10-10T11:53:58Z")\
**Posts on this page:** 2\
**Page:** 1

<div class="post-metadata">

**Author:** ![Cristiana\_Tiugan](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/cristiana_tiugan/32/93274_2.png) [@Cristiana\_Tiugan](https://discuss.elastic.co/u/Cristiana_Tiugan)\
**Post date:** [October 10, 2017, 11:53am UTC](https://discuss.elastic.co/t/search-time-with-multiple-aliases/103362/1 "2017-10-10T11:53:58Z")

</div>

Hello,

I have an index with 20 000 000 documents, each document having ~5 nested objects.  
As you can imagine, the update takes a long time, sometimes around 2 minutes.  
I was thinking on spliting the big index in multiple indices having documents on one year interval.  
I will have 2 aliases: index\_write -\> the current index and index\_read -\> all the indices.  
So, the update time it will improve.  
Now, about the query time, I am wondering how the search on aliases does work? It searches all the indices in paralel time? or sequentially?  
Also, I was wondering if it's more time-efficient to search on an alias pointing to small indices, or to search on a big index?

---

<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:** [November 7, 2017, 11:54am UTC](https://discuss.elastic.co/t/search-time-with-multiple-aliases/103362/2 "2017-11-07T11:54:12Z")

</div>

This topic was automatically closed 28 days after the last reply. New replies are no longer allowed.