Well, Spark 3.5 still uses Parquet 1.13.x, so it can continue in that line, we can always release a backported version if there is a security issue. Spark 3.5 is their extended LTS so they will probably not move up to a more recent version of Parquet. I imagine that the same applies for Hadoop.
For HADOOP-19212 <https://issues.apache.org/jira/browse/HADOOP-19212> my PR passes the tests with an upgrade 3.4.3. Let's remember that we are talking about a new JDK requirement for the next versions of Parquet, not for the previous ones. So, what should we do? Do we need a vote? On Wed, May 27, 2026 at 5:06 PM Aaron Niskode-Dossett via dev < [email protected]> wrote: > > > > > > 1. What does spark 3.5 require? Would a java17 requirement cause > > problems there? > > > > Spark 3.5 supports versions 8, 11, and 17, so by dropping java 8 we've > already diverged to some extent. > > https://spark.apache.org/docs/3.5.7/ > > -- > Aaron Niskode-Dossett, Data Engineering -- Etsy >
