Comments (1)
Summary
As a developer I want to run some performance benchmark tests so I can see what impact my changes have on speed of processing
Description
Several of the improvements to this codebase are intended to improve the speed of processing, or may unintentionally degrade the performance. Benchmark performance tests would help to monitor this. Add extraction / insert / transform of 10k, 100k and 1M rows to integration tests (which run against local database) and report timings.
Acceptance criteria
- Integration tests include performance tests and timings are reported to standard output
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Related Issues (20)
- Replace cxOracle with python-oracledb HOT 2
- Add `skip_conflicts` option to `load` function HOT 6
- Character '%' cause an error HOT 5
- Clarify documentation re table structure differences between source and destination HOT 5
- Add warning to documentation that `load` assumes that all items have the same columns
- Add typehints HOT 3
- Create GitHub workflow for automated testing HOT 3
- Deprecate `dumprows`
- Set default row factory to `as_dict` HOT 4
- Deprecate `fetchmany` HOT 1
- Deprecate CHUNKSIZE constant HOT 1
- Tag Version 1 HOT 2
- Provide pyproject.toml for pip install HOT 6
- Add deprecation warning HOT 2
- Add "all" option for driver installation HOT 3
- Update docs and gh-pages workflow to run on `main` HOT 3
- Add `merge` function
- Fix dodumentation for executemany() HOT 1
- Broken link to cxOracle documentation HOT 1
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