Maybe you should emphasize  Sparc 4 (RC5) as the current state of
sparc 4,  undergoing
extensive testing.

HTH

Dr Mich Talebzadeh,
Architect | Data Science | Financial Crime | Forensic Analysis | GDPR

   view my Linkedin profile
<https://www.linkedin.com/in/mich-talebzadeh-ph-d-5205b2/>





On Sat, 10 May 2025 at 01:56, Matei Zaharia <matei.zaha...@gmail.com> wrote:

> Our board report is due on May 14th. Here’s a draft of what’s been
> happening, feel free to provide comments:
>
> ======================
>
> Description:
>
> Apache Spark is a fast and general purpose engine for large-scale data
> processing. It offers high-level APIs in Java, Scala, Python, R and SQL as
> well as a rich set of libraries including stream processing, machine
> learning, and graph analytics.
>
> Issues for the board:
>
> - None
>
> Project Status:
>
> - Release candidates for Spark 4.0 have been created and the release has
> entered the voting stage.
> - Four SPIPs were recently accepted:
>         1. Introduction of the time data type
>         2. Support for constraints in DataSource V2 (DSv2)
>         3. Declarative pipelines
>         4. Add geospatial types to Spark
> - The following votes have successfully passed:
>         1. Publish an additional Spark distribution with Spark Connect
> enabled
>         2. Release Apache Spark 3.5.5, deprecating spark.databricks.*
> configuration
>         3. Retain migration logic for incorrect spark.databricks.*
> configurations in Spark 4.0.x
> - The PySpark User Guide has been merged into the official Spark
> documentation site: https://github.com/apache/spark/pull/50589
>
> Latest Releases:
>
> - Spark 3.5.5 was released on February 27, 2025
> - Spark 3.5.4 was released on December 20, 2024
> - Spark 3.4.4 was released on October 27, 2024
>
> Committers and PMC:
>
> - The latest committer was added on Nov 13, 2024 (Bingkun Pan).
> - The latest PMC member was added on Jan 21st, 2025 (Jie Yang).
>
> ======================
>
>
> ---------------------------------------------------------------------
> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
>
>

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