+1

On 2026/09/03 01:12:00 bo yang wrote:
> +1 (non binding)
> 
> 
> On Wed, Sep 2, 2026 at 5:36 PM Ruifeng Zheng <[email protected]> wrote:
> 
> > +1
> >
> > On Thu, Sep 3, 2026 at 6:07 AM L. C. Hsieh <[email protected]> wrote:
> >
> >> +1, on the technical merits.
> >>
> >> I verified RC2 end-to-end and the software is in good shape — build,
> >> tests, and
> >> functional results are all correct (details below). Two
> >> packaging/release-policy
> >> items stood out that I'd ask the RM to look at before this is finalized;
> >> I don't
> >> think either is a code problem, but the first in particular may matter
> >> for a
> >> formal ASF release, so I'm noting them rather than blocking.
> >>
> >> ## What I verified (all passed)
> >>
> >> Identity & integrity:
> >> - git tag v4.2.0-rc2 resolves to commit ce1fa08 (matches the vote email).
> >> - Downloaded macOS universal2 wheel and the sdist; both SHA-256 match the
> >>   digests GitHub recorded for the assets.
> >> - proto pinning in the tree is PROTO_VERSION=v4.2.0 / SPARK_SHA=32f7299,
> >>   consistent with targeting Spark 4.2.0.
> >>
> >> Python wheel (installed into a throwaway venv):
> >> - The macOS universal2 wheel installs and imports as a drop-in `pyspark`
> >>   (pyspark-client-rust 4.2.0). The abi3 native extension is a genuine
> >>   universal2 binary (x86_64 + arm64 slices) and loads on Apple Silicon.
> >> - Ran real workloads against a local Spark 4.2.0 Connect server (the
> >> bundled
> >>   spark-connect_2.13-4.2.0.jar from the apache/spark:4.2.0 image):
> >> range/count,
> >>   groupBy aggregation, SQL, createDataFrame + filter — all correct;
> >>   server-reported spark.version = 4.2.0.
> >> - collect() and toPandas() type conversion is correct across
> >> int/string/double/
> >>   boolean and NULL->NaN.
> >>
> >> Rust crates (from the tag):
> >> - cargo build --release and cargo test --release both pass, no failures
> >>   (server-dependent e2e tests are ignored by design without a live
> >> server).
> >> - The Rust `sql` example runs end-to-end against the live server (SQL ->
> >> write
> >>   parquet -> read back), confirming the native tonic transport works
> >> against a
> >>   real Spark 4.2.0 server.
> >>
> >> ## Notes for the RM
> >>
> >> 1. The candidate is not published to the ASF distribution area and is not
> >>    signed. The release files live only on GitHub Releases. There
> >>    is no .asc PGP signature, no .sha512, and no reference to the Spark
> >> KEYS
> >>    file. GitHub's SHA-256 digests establish transfer integrity only, not
> >> that
> >>    a release manager signed the artifacts. ASF policy is that the thing
> >> being
> >>    voted on is a signed source release in the dist area; convenience
> >> binaries
> >>    are not the subject of the vote. Notably the sibling Spark Connect Go
> >> client
> >>    RC does publish to dist.apache.org, so there is an established
> >> pattern here
> >>    for this candidate to follow.
> >>
> >> 2. The source distribution does not ship a LICENSE. The sdist
> >>    (pyspark_client_rust-4.2.0.tar.gz) has 390 files and none of them is a
> >>    LICENSE file, so downstream repackagers get no license text — this one
> >>    should be fixed regardless. Separately, the tree bundles some vendored
> >>    third-party code, so a NOTICE also looks like it's needed here (and
> >> there
> >>    isn't one); worth the RM double-checking the LICENSE/NOTICE against
> >> what's
> >>    actually bundled.
> >>
> >> ## Minor (non-blocking) observation
> >>
> >> DataFrame.show() renders rows in a compact form (e.g. `[apple, 123]`)
> >> rather
> >> than PySpark's bordered ASCII table. Values are correct; flagging only
> >> because
> >> the client is presented as a strict drop-in and some users scrape show()
> >> output.
> >>
> >>
> >> Thanks for driving this — the technical work looks solid.
> >>
> >>
> >> On Tue, Sep 1, 2026 at 3:08 PM Hyukjin Kwon <[email protected]> wrote:
> >>
> >>> Please vote on releasing the following candidate as Apache Spark Connect
> >>> Rust
> >>> Client 4.2.0 RC2.
> >>>
> >>> This is the *first* release of the ground-up Rust rewrite of the Spark
> >>> Connect
> >>> Python client (published to PyPI as pyspark-client-rust): a drop-in
> >>> replacement
> >>> for pyspark-client <https://pypi.org/project/pyspark-client/>, backed
> >>> by a native Rust core instead of py4j/grpcio.
> >>>
> >>> The vote is open until Thursday, September 7, 2026, 5:00 PM PDT and
> >>> passes if a majority of +1 PMC votes are cast, with a minimum of
> >>> 3 +1 votes.
> >>>
> >>> [ ] +1 Release this package as Apache Spark Connect Rust Client 4.2.0
> >>> [ ] -1 Do not release this package because …
> >>>
> >>> TAG:
> >>> https://github.com/apache/spark-connect-rust/releases/tag/v4.2.0-rc2
> >>> (commit: ce1fa08)
> >>>
> >>> RELEASE FILES (wheels + sdist, built and attached by GitHub Actions):
> >>> https://github.com/apache/spark-connect-rust/releases/tag/v4.2.0-rc2
> >>>
> >>> DOCUMENTATION:
> >>> https://apache.github.io/spark-connect-rust/
> >>>
> >>> LIST OF ISSUES:
> >>> https://issues.apache.org/jira/projects/SPARK/versions/12357484
> >>> HOW TO TRY IT — PYTHON (pip)
> >>>
> >>> The release attaches abi3 wheels (Linux x86_64/aarch64, macOS universal2,
> >>> Windows x86_64; CPython 3.9+) plus a source distribution. Grab the wheel
> >>> for
> >>> your platform from the release page and install it directly, e.g.:
> >>>
> >>>   pip install 
> >>> https://github.com/apache/spark-connect-rust/releases/download/v4.2.0-rc2/pyspark_client_rust-4.2.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
> >>>
> >>> Then use it exactly like PySpark. See if your existing workloads work
> >>> with this.
> >>> HOW TO TEST IT — RUST (cargo)
> >>>
> >>> The Rust crates are intentionally NOT on crates.io for a release
> >>> candidate
> >>> (crates.io is immutable; the crates are published there only when the
> >>> release is
> >>> finalized). Test against the tagged source instead:
> >>>
> >>>   # A) Pin a git dependency to the RC tag in your project's Cargo.toml:
> >>>   [dependencies]
> >>>   apache-spark-connect = { git = 
> >>> "https://github.com/apache/spark-connect-rust";, tag = "v4.2.0-rc2" }
> >>>
> >>>   # B) Or build and run the crates' own tests from the tag:
> >>>   git clone --branch v4.2.0-rc2 
> >>> https://github.com/apache/spark-connect-rust
> >>>   cd spark-connect-rust
> >>>   cargo build --release
> >>>   cargo test
> >>>
> >>> HIGHLIGHTS
> >>>
> >>>    - *Drop-in PySpark Connect Python API*, verified against real
> >>>    PySpark 4.2.0 two
> >>>    ways: the official PySpark test suite runs against this client, and a
> >>>    behavioral API-parity sweep compares the Python API surface
> >>>    (functions and
> >>>    DataFrame / Column / SparkSession / GroupedData / Window methods)
> >>>    call-by-call
> >>>    to PySpark.
> >>>    - Spark Connect Rust API *full* coverage, including *Rust UDF*s
> >>>    (docs: https://apache.github.io/spark-connect-rust/).
> >>>    - *Native Rust transport* via tonic; cloudpickle vendored to match
> >>>    upstream, so
> >>>    no grpcio/py4j at runtime. and *native type conversion.*
> >>>
> >>> WHY DOES THE VERSION START AT 4.2.0?
> >>>
> >>> Even though this is the first release of the rewrite, the version starts
> >>> at
> >>> 4.2.0 to track the Apache Spark / PySpark version it targets. This (1)
> >>> removes
> >>> any ambiguity about which Spark version a given client is compatible
> >>> with, and
> >>> (2) lets PySpark users pip install pyspark-client-rust== exactly
> >>> as they would pyspark-client, keeping the same versioning across both.
> >>>
> >>> Thanks,
> >>> Hyukjin Kwon
> >>>
> >>
> >
> > --
> > Ruifeng Zheng
> > E-mail: [email protected]
> >
> 

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