Can Elastic Search be optimized to enhance search speed?

Can Elastic Search be optimized to enhance search speed?

This article explores key issues related to Elasticsearch performance and offers actionable solutions to enhance your search operations. From addressing slow queries to managing resource utilization during reindexing, these techniques will help you optimize Elasticsearch for more efficient and responsive searches.

Addressing Slow Queries:

First, the size of your Elasticsearch index should be determined. You can use the following command:

curl -XGET :/_cat/indices

For example, if Elasticsearch is running locally on port 9200, use this command:

curl -XGET localhost:9200/_cat/indices

If your indices are large, it indicates a significant volume of data. In such cases, you can set a limit on the maximum number of search results in your Elasticsearch settings. To do this, navigate to vendor/magento/module-catalog-search/etc/search_request.xml file and change the value in the <size>10000</size>  tag in the following positions:







By default, this limit is set to 10,000, but you can reduce it to better suit your needs.

Mitigating Resource Usage During Reindexing:

If Elasticsearch consumes a considerable amount of resources during reindexing, you can optimize this by adjusting the BATCH_SIZE constant in Model/Indexer/DataHandler.php file.



Decreasing this value by a factor of 10 should help alleviate resource usage.

This advice provides general recommendations that can help improve Elasticsearch performance.  If the instructions do not address your specific problem, please contact our support team for additional assistance.

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