cutover
Prove that nothing changed. Compare two tables before a migration's consumers are repointed, and get the two numbers that end the argument: 0/0 mismatches across N columns and K/K partitions with an identical fingerprint.
pip install cutover
cutover old.parquet new.parquet --key id --partition date --tol amount=0.01 --html report.html
import cutover
report = cutover.compare(old, new, key=["id"], partition="date", tolerance={"amount": 0.01})
report.passed # True / False
report.reasons # [] or ["rows_only_in_old", "column_mismatch:amount", ...]
open("report.html", "w").write(report.to_html())
Sources: .parquet, .csv, duckdb:///file.db?table=t, sqlite:///file.db?table=t,
postgres://…?table=t (via the DuckDB postgres extension), or a pyarrow.Table /
pandas.DataFrame / polars.DataFrame. pip install cutover[bigquery] adds
cutover.from_bigquery(sql).
Exit codes: 0 PASS · 1 FAIL · 2 error. Apache-2.0.
1 maintainer
Metadata
1 maintainer
Release files for cutover 0.1.0
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| File | Size | Uploaded | Provenance | Actions |
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Total release size: 125.2 kB
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