This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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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.

Release History

Release History

0.2.3

This version

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0.2.0

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0.1.1

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0.1.0

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0.0.8

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0.0.7

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0.0.5

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0.0.4

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0.0.3

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Download Files

Download Files

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
esbench-0.2.3.tar.gz (37.0 kB) Copy SHA256 Checksum SHA256 Source Jan 22, 2014

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