It is the Rust Client, and the new one is a Python wrapper of the Rust client, which conceptually thought did not require an SPIP but rather a separate feature. If you feel like it has to be discussed separately, I can bring it up and pause the release vote for now.
On Sun, 30 Aug 2026 at 10:20, Ángel Álvarez Pascua < [email protected]> wrote: > Could you please point me to the previous dev@ discussion or SPIP for > this proposal? > > I found the earlier discussion about creating the Spark Connect Rust > client repository, but not one covering the ground-up Rust rewrite and the > new pyspark-client-rust package. Given the scope and user-facing nature > of these changes, I would have expected them to be discussed before > reaching the release vote, possibly through the SPIP process. > > El dom, 30 ago 2026 a las 0:37, Hyukjin Kwon (<[email protected]>) > escribió: > >> Please vote on releasing the following candidate as Apache Spark Connect >> Rust >> Client 4.2.0. >> >> 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 4, 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-rc1 >> (commit: f77df70) >> >> RELEASE FILES (wheels + sdist, built and attached by GitHub Actions): >> https://github.com/apache/spark-connect-rust/releases/tag/v4.2.0-rc1 >> >> 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-rc1/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-rc1" } >> >> # B) Or build and run the crates' own tests from the tag: >> git clone --branch v4.2.0-rc1 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 >> >>
