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Open Source parsers that support contemporary C/C++, can recover from errors, include a preprocessor, and that are actively maintained, are rare. This work describes how to use the parser contained in the Eclipse C/C++ Development Tooling (CDT) as a Java library. Such parser provides not only the abstract syntax tree of the parsed file but also the semantics, i.e., type information and bindings. The authors used the same approach to obtain Java and JavaScript parsers.

We develop a family of efficient plane-sweeping interval join algorithms for evaluating a wide range of interval predicates such as Allen’s relationships and parameterized relationships. Our technique is based on a framework, components of which can be flexibly combined in different manners to support the required interval relation. In temporal databases, our algorithms can exploit a well-known and flexible access method, the Timeline Index, thus expanding the set of operations it supports even further. Additionally, employing a compact data structure, the gapless hash map, we utilize the CPU cache efficiently. In an experimental evaluation, we show that our approach is several times faster and scales better than state-of-the-art techniques, while being much better suited for real-time event processing.

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