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Currently, the Python implementation of MistQL has no guarantees about performance, nor a standard, repeatable way to profile the tool. This ticket encompasses tooling choice, design, and implementation of everything we need in order to give a good story around Python performance.
The goal of this project is to create a repeatable performance test suite and establish baseline performance across a wide variety of tasks. Ideally, this would integrate with CI, allowing us to catch regressions on a pr-to-pr level.
The text was updated successfully, but these errors were encountered:
Currently, the Python implementation of MistQL has no guarantees about performance, nor a standard, repeatable way to profile the tool. This ticket encompasses tooling choice, design, and implementation of everything we need in order to give a good story around Python performance.
The goal of this project is to create a repeatable performance test suite and establish baseline performance across a wide variety of tasks. Ideally, this would integrate with CI, allowing us to catch regressions on a pr-to-pr level.
The text was updated successfully, but these errors were encountered: