GoldenMatch

v1.2.3 Bugfix

This release fixes issues for SREs watching stability and regressions.

Published 3mo Data Pipelines & ETL

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

data-cleaning data-engineering data-matching data-quality deduplication entity-resolution

+14 more

fellegi-sunter fuzzy-matching knowledge-graph llm master-data-management mcp-server polars pprl python record-linkage rust splink typescript zero-config

Summary

AI summary

Updates Bug Fixes, Testing, and golden_rows across a mixed release.

Full changelog

Bug Fixes

Fix OOM/segfault on wide datasets: Auto-configure now caps columns at 40, fuzzy fields at 5, and skips exact matchkeys on >10K rows to prevent O(N²) self-joins
Fix _GEO_PATTERNS regex: city no longer matches inside "Capacity" — uses negative lookbehind instead of word boundaries to preserve city_desc/county_code matching
Fix golden record schema mismatch: pl.DataFrame(golden_rows) now uses schema_overrides to prevent mixed-type inference across cluster rows
Fix BlockingConfig.keys required when unnecessary: keys now defaults to [] with model_validator enforcing per-strategy requirements
Cast to Utf8 in run_dedupe_df: Prevents schema mismatch from mixed-type columns (e.g. birth_year as i64 vs str)
Guard auto_select against empty keys: Prevents crash when blocking config has no keys

Testing

Verified on UK GIAS schools register (52,288 rows, 135 columns)
Zero-config dedupe_df() completes in 175s with 3,854 clusters
1,181 tests passing

View diff on GitHub

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Earlier breaking changes

v3.1.0 `GOLDENMATCH_FRAME=polars` now requires the `[polars]` extra; raises error without it.
vgoldencheck-v3.0.0 `inferred_type` emits neutral dtype vocabulary (str/int/uint/float/date/datetime/bool/other) instead of raw Polars dtypes.
vgoldencheck-v3.0.0 'inferred_type' now emits a neutral dtype vocabulary instead of raw Polars dtype strings.
vgoldencheck-v3.0.0 `scan_file`, `scan_dataframe`, and CLI `check` now run without Polars, using Arrow-native pyarrow.Table.
v3.0.0 Result frames now return pyarrow.Table instead of Polars DataFrame.