I think there are two potential causes:
 - refreshes
 - id lookups

Refreshes run periodically in order to make data fast to search,
http://www.elasticsearch.org/blog/performance-considerations-elasticsearch-indexing/
gives recommandations to improve indexing speed by increasing the refresh
interval.

Id lookups are required in order to check if the document that you are
indexing is replacing another document. Note however that since
Elasticsearch 1.2, Elasticsearch can skip this step if you use
auto-generated ids: https://github.com/elasticsearch/elasticsearch/pull/5917

On Wed, Nov 5, 2014 at 9:14 AM, 이윤동 <[email protected]> wrote:

> hi! my first question!
>
> if replica 0 bulk index, then disk read, write ratio same.
> but batch finish after... disk read is high than write.
> disk read = 10 X disk write...
>
> so cpu load is high, then batch index very slow.. T.T
>
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