# Using already indexed data for benchmarking

**URL:** <https://discuss.elastic.co/t/using-already-indexed-data-for-benchmarking/120406>\
**Category:** Elasticsearch\
**Tags:** rally\
**Created:** [February 19, 2018, 6:47am UTC](https://discuss.elastic.co/t/using-already-indexed-data-for-benchmarking/120406 "2018-02-19T06:47:30Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![toka](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/toka/32/15773_2.png) [@toka](https://discuss.elastic.co/u/toka)\
**Post date:** [February 19, 2018, 6:47am UTC](https://discuss.elastic.co/t/using-already-indexed-data-for-benchmarking/120406/1 "2018-02-19T06:47:31Z")

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Hi!

I was able to use an existing cluster with Rally (trough the pipeline `benchmark-only`), but I would like to use an existing index and its data as well.

I checked the track reference and a `source-file` field is mandatory in the `corpora` part:  
[https://esrally.readthedocs.io/en/latest/track.html#corpora](https://esrally.readthedocs.io/en/latest/track.html#corpora)

So the question is, is there a way to use an existing indexed dataset?

Thanks in advance.

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<div class="post-metadata">

**Author:** ![toka](https://sea2.discourse-cdn.com/elastic/user_avatar/discuss.elastic.co/toka/32/15773_2.png) [@toka](https://discuss.elastic.co/u/toka)\
**Post date:** [February 19, 2018, 8:43am UTC](https://discuss.elastic.co/t/using-already-indexed-data-for-benchmarking/120406/2 "2018-02-19T08:43:53Z")

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Sorry, just found in the examples that it's possible:

[https://esrally.readthedocs.io/en/latest/track.html#a-track-with-a-single-task](https://esrally.readthedocs.io/en/latest/track.html#a-track-with-a-single-task)

I'll try it later!

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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:** [March 19, 2018, 8:44am UTC](https://discuss.elastic.co/t/using-already-indexed-data-for-benchmarking/120406/3 "2018-03-19T08:44:01Z")

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