SQL Complexity Estimator
This package provides a simple algorithm to calculate complexity of SQL expressions.
It's based on SQLGlot abstract syntax tree, so the provided SQL must be compatible with SQLGlot engines.
The rules are the following:
- +1 per join expression
- +1 per predicate after WHERE or HAVING
- +1 per CTE
- +1 per GROUP BY expression
- +1 per UNION or INTERSECT
- +1 per function call
- +1 per CASE expression
This package is inspired on the comments of this stack overflow thread.
Install
python -m pip install sql-complexity
poetry add sql-complexity
uv add sql-complexity
Run with uvx
uvx --refresh sql-complexity
Run from the CLI
sql-complexity some.sql
cat myfile.sql | sql-complexity
Using it in your code
from sql_complexity import SQLComplexityAssessment
assessor = SQLComplexityAssessment()
score = assessor.assess(contents)
print(score)
print(score.total)
1 maintainer
Metadata
1 maintainer
Release files for sql-complexity 0.1.6
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| File | Size | Uploaded | Provenance | Actions |
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| sql_complexity-0.1.6.tar.gz | 4.7 kB | Without provenance | Details for sql_complexity-0.1.6.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| sql_complexity-0.1.6-py3-none-any.whl | Python 3 | none | any | Details for sql_complexity-0.1.6-py3-none-any.whl |
Total release size: 11.1 kB
Release files / sql_complexity-0.1.6.tar.gz
| Download URL | sql_complexity-0.1.6.tar.gz |
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| Size | 4.7 kB |
| Tags | Source |
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Release files / sql_complexity-0.1.6-py3-none-any.whl
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| Size | 6.3 kB |
| Tags | Python 3 |
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