# Scroll aggregations
**URL:** https://discuss.elastic.co/t/scroll-aggregations/17808
**Category:** Elasticsearch
**Created:** [May 29, 2014, 2:13pm UTC](https://discuss.elastic.co/t/scroll-aggregations/17808 "2014-05-29T14:13:56Z")
**Posts on this page:** 3
**Page:** 1
### Author:  [@Deepjot\_Singh](https://discuss.elastic.co/u/Deepjot_Singh)
#### Post date: [May 29, 2014, 2:13pm UTC](https://discuss.elastic.co/t/scroll-aggregations/17808/1 "2014-05-29T14:13:56Z")
hello friends,
I have an index with some 10m records.
When I try to find distincts in one field (around 2m) my Java runs out of
memory.
Can I implement a scan and scroll on this aggregation to retrieve the same
data in smaller parts.
Thanks
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### Author:  [@ElasticSearch\_Users\_](https://discuss.elastic.co/u/ElasticSearch_Users_)
#### Post date: [May 30, 2014, 9:40pm UTC](https://discuss.elastic.co/t/scroll-aggregations/17808/2 "2014-05-30T21:40:05Z")
Unfortunately not at the moment. However, you could look into spreading the
data around with more shards/nodes (thus lesser memory requirements per
node), or add more RAM, or possibly use disk-based fielddata:
> **[Disk-Based Field Data a.k.a. Doc Values
| Elastic](https://www.elastic.co/blog/disk-based-field-data-a-k-a-doc-values)**
>
> Elasticsearch is not just about full-text search, and many users are actually not using Elasticsearch for full-text search at all but for analytics though facets. This approach works well, but, as you...
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### Author:  [@system](https://discuss.elastic.co/u/system)
#### Post date: [July 6, 2017, 1:25am UTC](https://discuss.elastic.co/t/scroll-aggregations/17808/3 "2017-07-06T01:25:36Z")