Elasticsearch 7 Quick Start Guide by Anurag Srivastava

Author:Anurag Srivastava
Language: eng
Format: epub
Tags: COM018000 - COMPUTERS / Data Processing, COM062000 - COMPUTERS / Data Modeling and Design, COM021000 - COMPUTERS / Databases / General
Publisher: Packt Publishing
Published: 2019-10-24T07:15:09+00:00

To activate this adaptive replica selection, the following setting needs to be changed to true:

cluster.routing.use_adaptive_replica_selection

We can change the preceding setting through a query as well. The following code shows how to implement this setting using the query:

PUT /_cluster/settings

{

"transient": {

"cluster.routing.use_adaptive_replica_selection": true

}

}

Using the preceding query, we can set cluster.routing.use_adaptive_replica_selection to true.

In Elasticsearch, individual searches have timeout criteria. Elasticsearch will apply a global timeout to all the clusters that do not mention a timeout in their settings. To change these timeout settings, simply modify the search.default_search_timeout parameter and set a specific value. A value of -1 will set the global search timeout to no timeout at all.

To cancel a search, the _cancel parameter is needed, along with the ID of the search task. Since searches on shards can be canceled, a large segment may lead to a delay in the cancellation. To minimize the cancel responsiveness, set search.low_level_cancellation to true. Please refer to the following example:

search.low_level_cancellation = true

By applying the preceding setting, we can enable search.low_level_cancellation.

The searches that are performed on Elasticsearch may need access to various shards simultaneously, and this will affect the CPU and memory. Users can limit the number of shards that can be accessed at once through the max_concurrent_shard_requests setting. This is a hard limit that can be set to any value. A soft limit can also be created using action.search.shard_count.limit.

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