V1.3.0

Change Description

The OmniOperator operator acceleration feature of Kunpeng BoostKit for Big Data uses one base to support different engines (such as Spark), reducing repeated optimization work, fully exploring common and heterogeneous computing power, and promoting the Kunpeng ecosystem.

Version 1.3.0 has the following changes:

• Improved the performance of the 99 TPC-DS benchmark queries by 30%. The optimizations include vectorized computing of AVG/SUM aggregators, sort spills based on memory usage, shuffle write for fewer spills in TMP files, and join reorder without CBO.
• Added TopNSort operators and Sort-Merge Join and Sort integration.
• Added the table scan native processing for Parquet files, and security clusters for ORC and Parquet.

Resolved Issues

None

Known Issues

None