lancedb-gatefixer[bot]andXuanwo 2cd635d41c fix: correct remote materialized view refresh results and options (#4672)
Remote materialized-view refreshes drained the SQL result and then
fabricated `mode=rebuild`, `rows_written=<total view rows>`, and
`source_version=0`. This made incremental refreshes report incorrect
statistics.

Make these three result fields optional across Rust, Python, and
TypeScript, and leave them unset for remote SQL refreshes. Remove the
post-refresh row count request. Local refreshes continue to populate all
metrics, and `version` remains the view version observed after
completion. Remote per-operation statistics remain unavailable until the
SQL job adapter can retrieve them.

Expose the forced-rebuild option through the Rust builder,
synchronous/asynchronous Python refresh and job methods, and TypeScript
refresh. Remote `full=true` sends `WITH (full = true)`; the default lets
the server choose its refresh mode. Local source-version pinning and
remote job cancellation are preserved.

Local refresh regression tests respect the `experimental-functions`
build gate, while remote refresh coverage also runs in default builds.

Validation:

- Rust: 20 materialized-view tests and 21 remote SQL tests passed with
`remote,experimental-functions`; `cargo fmt --all` passed.
- Python: rebuilt the extension in the uv-managed environment. The
default build passed 23 tests with 27 feature-dependent skips. The
opt-in build passed 61 tests with 3 expected default-build-only skips,
covering the materialized-view suite and 14 async query-serialization
cases from current main. Python Ruff lint and formatting checks passed.
- TypeScript: default and opt-in native builds and TypeScript
compilation passed. The default build passed 5 tests with 10 expected
feature-dependent skips; the opt-in build passed all 14
materialized-view tests with the default-build-only test skipped.
Lint/format checks and documentation generation passed.
- Repository-wide `ruff check .` reports 48 pre-existing violations in
unchanged `docs/web-tests` files; `ruff check python` passes.

Fixes #4670

<!-- lance-gatekeeper-fix:v1 agent=ece43ec4b88a48d1789f60005fa3ecfc
generation=1 -->

Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com>
Co-authored-by: Xuanwo <github@xuanwo.io>
2026-10-27 21:34:01 +08:00
2023-03-17 18:15:19 -07:00
2025-03-10 09:01:23 -07:00

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LanceDB

The Multimodal Lakehouse for AI

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The ultimate multimodal data platform for AI/ML applications.

LanceDB is designed for fast, scalable, and production-ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. LanceDB is a central location where developers can build, train and analyze their AI workloads.


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