Analytics Accelerator 1.7 release notes v1.7

Released: 5 March 2026

Analytics Accelerator 1.7 includes the following enhancements and bug fixes:

Features

• Iceberg compaction maintenance: Added support for compaction maintenance operations on Iceberg tables via the pgaa.launch_task() function. This workflow is handled natively by the PGAA background worker, removing the previous requirement for an external Spark Connect integration to execute compaction. This applies to both native PGAA tables and standard heap tables replicated with PGD.
• PGD replication performance: Achieved a 2–2.5x increase in replication TPS to PGD by migrating the Seafowl-based sync writer with to the PGAA engine.
• Memory management: Introduced the pgaa.max_in_memory_mb configuration parameter to allow granular control over size-related writer flush criteria.
• Storage authentication: Enabled support for static credentials for storage backends that do not support automated credential vending.

Bug fixes

• Resolved an issue where lingering transaction locations prevented the promotion of durable LSNs.
• Fixed errors occurring during date and duration subtraction within the DirectScan engine.

Infrastructure & other changes

• Added a synthetic pgbench-like replication benchmark, accessible via the pgaa._bench_replication SQL function.
• Merge end-to-end benchmarking scripts into a single unified utility, pgaabench.sh.

Deprecations

• The function pgaa.execute_compaction() is now deprecated and will be removed in a future release. Use pgaa.launch_task() for performing table maintenance.