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@@ -400,3 +400,29 @@ So what is the right number of replicas? If you have a cluster that has
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be able to cope with `max_failures` node failures at once at most, then the
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right number of replicas for you is
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`max(max_failures, ceil(num_nodes / num_primaries) - 1)`.
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+<<<<<<< HEAD
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+=======
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+
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+[float]
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+=== Turn on adaptive replica selection
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+
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+When multiple copies of data are present, elasticsearch can use a set of
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+criteria called <<search-adaptive-replica,adaptive replica selection>> to select
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+the best copy of the data based on response time, service time, and queue size
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+of the node containing each copy of the shard. This can improve query throughput
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+and reduce latency for search-heavy applications.
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+
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+=== Tune your queries with the Profile API
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+:ref: https://www.elastic.co/guide/en/elasticsearch/reference/current/search-profile.html
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+:ref-searchprofiler: https://www.elastic.co/guide/en/kibana/current/xpack-profiler.html
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+
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+You can also analyse how expensive each component of your queries and aggregations are using the {ref}[Profile API].
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+This might allow you to tune your queries to be less expensive, resulting in a positive performance result and reduced load.
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+Also note that Profile API payloads can be easily visualised for better readability in the {ref-searchprofiler}[Search Profiler], which is a Kibana dev tools UI available in all X-Pack licenses, including the free X-Pack Basic license.
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+
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+Some caveats to the Profile API are that:
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+
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+ - the Profile API as a debugging tool adds significant overhead to search execution and can also have a very verbose output
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+ - given the added overhead, the resulting took times are not reliable indicators of actual took time, but can be used comparatively between clauses for relative timing differences
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+ - the Profile API is best for exploring possible reasons behind the most costly clauses of a query but isn't intended for accurately measuring absolute timings of each clause
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+>>>>>>> 13f5c884260... Add Profile API to search speed tuning howto (#29489)
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