Dsx 1.5.0 Online
The upgrade to Apache Spark 2.4 was the crown jewel of DSX 1.5.0. Benefits included:
Cause: DSX 1.5.0 expects Git LFS version 3.x; some enterprise proxies block LFS.
Fix: Run git config --global lfs.contenttype=1 inside the notebook terminal, or ask your network team to whitelist *.lfs endpoints. dsx 1.5.0
A 1.5.0 release often modernizes the underlying technology stack. This can include support for the latest versions of Python or R, integration of newer deep learning libraries (like TensorFlow or PyTorch), and the introduction of GPU-accelerated computing options for heavy workloads. The upgrade to Apache Spark 2
No software is perfect. Version 1.5.0 has several quirks: The developer has acknowledged these and is working on DSX 2
The developer has acknowledged these and is working on DSX 2.0 (still in alpha as of 2026).
Cause: The new Feature Store uses optimistic locking. High concurrency leads to retries.
Fix: Increase the feature_store.commit.timeout.ms to 30000 (30 seconds). This solves >90% of cases.
![dsx 1.5.0](https://s.studizba.com/z.php?f=/templates/si/i/noavatar.png&w=100&h=100&t=1"){kind=avatar}
