During the last few years parallel object-relational data- base management systems have
emerged as the leading data management technology on the market. These systems are extensible
by user-defined data types and user-defined functionality for the data. This work focuses on
the efficient parallel execution of user-defined functionality. The main contributions describe
techniques to support data parallelism for user-defined scalar and aggregate functions and
intrafunction parallelism for the execution of a scalar function on a large object and a new
technology to provide extensibility with regard to new set-oriented database operations that
can efficiently implement user-defined functionality in parallel object-relational database
management systems.
