Acceldata
 ODP
Search documentation… ⌘K

Release Notes ODP 3.2.3.7-2

This latest version of the Acceldata Open Source Data Platform introduces new features, enhancements, bug fixes, and CVE fixes designed to further improve your data observability experience.

Key Highlights

The ODP 3.2.3.7-2 for Python 2 release includes the following key highlights:

  • Core Engine Upgrade: Upgraded Apache Hive from 4.0.0-alpha to enterprise Hive 4.0.1 — delivering improved Cost-Based Optimization (CBO), vectorized SQL execution, and automated background ACID compaction.
  • Lakehouse Unification: Integrated Apache Iceberg 1.6.1 across the stack — driving vectorized Parquet reads, zero-rewrite schema evolution, and time-travel query capabilities across Hive, Impala, Spark, Trino, and NiFi.
  • Platform Resilience: Extended High Availability (HA) support for NiFi Registry.
  • Security: Resolved 2,962 CVEs across 30+ stack components — delivering deep platform hardening and enterprise-grade protection.
  • Authorization: Added support for Ranger Read/Write (RW) Storage Types — enabling explicit storage-level privilege separation for Hive workloads.
  • Operational Usability: Streamlined Ambari UI with client installation drill-downs, faster NodeManager upgrade retries (reduced from 5m to 2m), deletion task tracking, and full config group readability.
  • Ingestion Safeguards & Visual Analytics: Enabled content MD5 checksum validation for NiFi PutGCSObject (NIFI-14969) to ensure GCS data integrity, and adopted the modernized Apache Zeppelin WebUI for an improved interactive notebook experience.
  • Mpack Upgrades: Added seamless Mpack upgrade support for Spark3, Impala, Kafka3, and Pinot, enabling smoother and lower-risk upgrades across customer environments.

Enhancements

Platform Improvements: This release introduces enhancements and optimizations that boost the platform's functionality and user experience, enhancing your data management capabilities. For more information, see Enhancements.

Resolved Issues

Bug and CVE Fixes: Acceldata's commitment to a seamless data observability experience includes promptly addressing reported issues and CVEs. This release resolves multiple bugs and addresses CVEs, ensuring a more stable and reliable platform. For more information, see Bug Fixes and Fixed CVEs.

New Features

Discover the innovative features in this release with upgraded Apache components and platform modernization for enhanced performance, efficiency, and compatibility. For details, see New Features.