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Typo fix
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dliappis committed May 24, 2018
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Expand Up @@ -315,7 +315,7 @@ With the operation type ``bulk`` you can execute `bulk requests <http://www.elas
* ``batch-size`` (optional): Defines how many documents Rally will read at once. This is an expert setting and only meant to avoid accidental bottlenecks for very small bulk sizes (e.g. if you want to benchmark with a bulk-size of 1, you should set ``batch-size`` higher).
* ``pipeline`` (optional): Defines the name of an (existing) ingest pipeline that should be used (only supported from Elasticsearch 5.0).
* ``conflicts`` (optional): Type of index conflicts to simulate. If not specified, no conflicts will be simulated (also read below on how to use external index ids with no conflicts). Valid values are: 'sequential' (A document id is replaced with a document id with a sequentially increasing id), 'random' (A document id is replaced with a document id with a random other id).
* ``conflict-probability`` (optional, defaults to 25 percent): A number between [0, 100] that defines how many of the documents will get replaced. Combining ``conflicts=sequential`` and ``conflict-probability=0`` makes Rally generate index ids by itself, instead of relying on Elasticsearch's `automatic iD generation <https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-index_.html#_automatic_id_generation>`_.
* ``conflict-probability`` (optional, defaults to 25 percent): A number between [0, 100] that defines how many of the documents will get replaced. Combining ``conflicts=sequential`` and ``conflict-probability=0`` makes Rally generate index ids by itself, instead of relying on Elasticsearch's `automatic id generation <https://www.elastic.co/guide/en/elasticsearch/reference/current/docs-index_.html#_automatic_id_generation>`_.
* ``on-conflict`` (optional, defaults to ``index``): Determines whether Rally should use the action ``index`` or ``update`` on id conflicts.
* ``detailed-results`` (optional, defaults to ``false``): Records more detailed meta-data for bulk requests. As it analyzes the corresponding bulk response in more detail, this might incur additional overhead which can skew measurement results.

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