+1
Twitter: https://twitter.com/holdenkarau Fight Health Insurance: https://www.fighthealthinsurance.com/ <https://www.fighthealthinsurance.com/?q=hk_email> Books (Learning Spark, High Performance Spark, etc.): https://amzn.to/2MaRAG9 <https://amzn.to/2MaRAG9> YouTube Live Streams: https://www.youtube.com/user/holdenkarau Pronouns: she/her On Tue, Sep 1, 2026 at 9:15 PM Dongjoon Hyun <[email protected]> wrote: > +1 > > Dongjoon. > > On 2026/09/01 22:08:01 Hyukjin Kwon wrote: > > Starting with my own +1. > > > > PS: we have a discussion in the dev mailing list, and I am sync'ed with > the > > original authors. > > > > On Wed, 2 Sept 2026 at 07:07, 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 > > > > > > > --------------------------------------------------------------------- > To unsubscribe e-mail: [email protected] > >
