GoldenMatch

vgoldenmatch-duckdb-v0.3.0 scope: goldenmatch-duckdb Feature

This release adds 5 notable features for engineering teams evaluating rollout.

Published 2mo Data Pipelines & ETL

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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

Adds five read‑only DuckDB UDFs for identity graph queries.

Full changelog

Identity Graph UDFs

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

goldenmatch_identity_resolve(record_id, db_path) -> JSON view
goldenmatch_identity_view(entity_id, db_path) -> JSON view
goldenmatch_identity_history(entity_id, db_path) -> JSON event array
goldenmatch_identity_conflicts(dataset, db_path) -> JSON edge array
goldenmatch_identity_list(dataset, status, db_path) -> JSON identity list

Reads the SQLite (or Postgres) identity store maintained by the main goldenmatch package's pipeline. Same JSON shape across all surfaces (Python / REST / MCP / A2A / SQL).

Requires goldenmatch >= 1.15.0.

INSTALL <or pip install goldenmatch-duckdb>;
-- in Python:
import duckdb, goldenmatch_duckdb
con = duckdb.connect()
goldenmatch_duckdb.register(con)
con.sql("SELECT goldenmatch_identity_resolve('crm:abc-123', '.goldenmatch/identity.db')")

🤖 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.