GoldenMatch

v1.17.0 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

Summary

AI summary

Updates v1.13 autoconfig roadmap, Other, and 2.0 across a mixed release.

Full changelog

goldenmatch 1.17.0 -- 2026-05-22

Highlights from this release:

v1.13 autoconfig roadmap

Wave A: stratified sampling (#131) + iteration-oscillation guard (#127)
Wave B: real ExpandSample(2.0) controller action (#125) + env-gated
telemetry log for rule_demote_clustered_identity (#124)
Wave D: NE-on-Fellegi-Sunter investigation (#126, document-and-close)
Wave E: adaptive NE tuner module (#129, integration deferred)
Wave C (deletion) is gated on the telemetry observation window per
ADR-0006

Sync hardening

Full resolution of the #410 / #417 / #422 cluster:

Sample-corrected blocking via Chao1 (ADR-0004)
Matchkey vs blocking pools as orthogonal axes (ADR-0003) +
composite-search fallback
BLOCKING_DEGENERATE guard now catches: singleton blocks, mega-blocks
(avg > 10K), empty blocking.keys, empty fields lists, and matchkey-
derived blocking when config.blocking.keys is empty
exclude_columns enforced PRE-autoconfig in goldenmatch sync
score_buckets small-block fast path (skip bucketing when height <
n_buckets)
_full_scan_streaming parallel outer block loop via ThreadPoolExecutor

Other

ADR practice initialized (docs/adr/, 7 records)
SQLite WAL mode default in MemoryStore (#130)
composite-search candidate evaluation log

Full CHANGELOG: https://github.com/benseverndev-oss/goldenmatch/blob/v1.17.0/packages/python/goldenmatch/CHANGELOG.md

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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.