GoldenMatch

vgoldenmatch-pg-v0.4.0 scope: goldenmatch-pg Feature

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

Published 2mo 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

Affected surfaces

auth

Summary

AI summary

Adds five read‑only Identity Graph query functions to Postgres.

Full changelog

Identity Graph functions

Five new read-only pg_extern functions implementing the contract at docs/superpowers/specs/2026-05-12-identity-graph-duckdb-contract.md:

goldenmatch_identity_resolve(record_id TEXT, db_path TEXT) -> TEXT (JSON)
goldenmatch_identity_view(entity_id TEXT, db_path TEXT) -> TEXT
goldenmatch_identity_history(entity_id TEXT, db_path TEXT) -> TEXT
goldenmatch_identity_conflicts(dataset TEXT, db_path TEXT) -> TEXT
goldenmatch_identity_list(dataset TEXT, status TEXT, db_path TEXT) -> TEXT

Shells out to the Python goldenmatch.identity.query.* helpers via pyo3 -- same JSON shape across all surfaces.

Requires goldenmatch >= 1.15.0 installed in Postgres' Python interpreter (pip install --break-system-packages goldenmatch>=1.15.0).

Install

Download the tarball for your PostgreSQL major version (PG 15 / 16 / 17), extract into /:

tar -xzf goldenmatch_pg-0.4.0-pg16-linux-x86_64.tar.gz -C /
psql -c 'CREATE EXTENSION goldenmatch_pg;'

Built against PG 15/16/17 on Ubuntu 24 with libclang + cargo-pgrx 0.12.9.

🤖 Generated with Claude Code

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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.