Indexing and Query Performance Issues
Cause: Slow indexing or query response times can be attributed to factors such as inefficient mappings, inappropriate analysis configurations, or resource constraints.
Solutions
- Optimize mappings and analysis configurations for your data and use cases.
- Implement field data filtering to reduce memory overhead.
- Use field data cache and query cache responsibly as they can help in boosting Elasticsearch’s performance. To optimize the query response time, more resources (CPU, memory, and disk I/O) should be assigned to the Elasticsearch nodes.
- Increase resources (CPU, memory, disk I/O) allocated to Elasticsearch nodes.
How to Solve Elasticsearch Performance and Scaling Problems?
There is a software platform called Elasticsearch oriented on search and analytics of the large flows of the data which is an open-source and has recently gained widespread.
Yet, as data volumes and consumers increase and technologies are adopted, enterprises encounter performance and scalability issues with Elasticsearch implementations. In this article, they will discuss some of the familiar performance and scalable issues and offer recommendations on how to deal with them.
Contact Us