Skip to main content

Elasticsearch performance benchmark tool

Project description

Tool for benchmarking performance of Elasticsearch nodes.

The two primary uses are for capacity planning (guessing how much oomph you need to do what what you think you need to do), and for performance tuning (trying out various index, mapping, and query settings in a consistent and reproducible manner).

An Elasticsearch index is composed of a set of 1 or more Lucene indexes (designated as primary and replica ‘shards’ by ES). A single Lucene index is the basic unit on which indexing and search operations are executed, and so the performance of individual Lucene indexes largely determines the performance of a cluster.

The basic approach is to create an index with 1 primary and no replica shards (a single Lucene index), load it with data, and periodically run representative use patterns against it, recording observations, adding more data until the performance drops below acceptable levels.

This tool comes with ‘batteries included’ (ie large sample data set, downloaded on demand). See the README.md file, or even better, the project’s github page.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

esbench-0.1.0.tar.gz (27.5 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page