GoldenMatch

vgoldenmatch-pg-v0.6.0 scope: goldenmatch-pg Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 1mo 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

Native‑direct SQL graph UDFs now call a pure Rust kernel without embedded CPython.

Changes in this release

Type	Severity	Summary	CVE
Feature	Medium	Adds new upgrade scripts sql/goldenmatch_pg--0.6.0.sql and sql/goldenmatch_pg--0.5.0--0.6.0.sql for extension management. Adds new upgrade scripts sql/goldenmatch_pg--0.6.0.sql and sql/goldenmatch_pg--0.5.0--0.6.0.sql for extension management. Source: llm_adapter@2026-06-05 Confidence: high	—
Refactor	Low	Native-direct SQL graph UDFs now call Rust kernel directly, no embedded CPython. Native-direct SQL graph UDFs now call Rust kernel directly, no embedded CPython. Source: llm_adapter@2026-06-05 Confidence: high	—

Full changelog

Native-direct SQL graph UDFs (#509).

goldenmatch_connected_components / goldenmatch_pair_dedup (+ _str variants) now call the pyo3-free graph-core kernel directly in pure Rust (no embedded CPython), over native PG arrays, returning table rows.
New handwritten sql/goldenmatch_pg--0.6.0.sql + sql/goldenmatch_pg--0.5.0--0.6.0.sql upgrade script. CREATE EXTENSION / ALTER EXTENSION UPDATE both tested on PG 15/16/17.

Install via the .deb/.rpm/.tar.gz assets or the ghcr Docker image.

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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.