Support Quantile Compression q_compress column codec

Quantile Compression (https://github.com/mwlon/quantile-compression) is a recent but stable compression algorithm for numerical sequences that averages 35%+ higher compression ratio than the next best codec (zstd), given the same compression time. It has fairly fast decompression speed, close to that of zstd. Compared to Parquet's built-in PFor-like integer compression algorithm, it achieves a much higher compression ratio at slower speed. Adding q_compress as a column codec for all numerical columns could substantially reduce the size of most Parquet files.

q_compress is implemented in Rust, which has good interop with C++ and can run in JVM via JNI (e.g. https://github.com/pancake-db/pancake-scala-client).

**Reporter**: [Martin Loncaric](https://issues.apache.org/jira/secure/ViewProfile.jspa?name=mwlon)

_{**Note**: *This issue was originally created as [PARQUET-2132](https://issues.apache.org/jira/browse/PARQUET-2132). Please see the [migration documentation](https://issues.apache.org/jira/browse/PARQUET-2502) for further details.*}

The issue names q_compress and its Rust implementation, but no repository files, tests, or entry points. Start by locating Parquet Java’s existing column-codec integration and assessing the Rust/JVM interop described in the issue. Done means q_compress is available as a codec for numerical columns with appropriate integration coverage.

Written by the indexing model from the issue text.