Efficiently updating materialized views
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
Maintaining materialized views without accessing base data
Information Systems
Maintaining views incrementally
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
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Maintenance of materialized views: problems, techniques, and applications
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SIGPLAN '73 Proceedings of the 1973 meeting on Programming languages and information retrieval
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VLDB '85 Proceedings of the 11th international conference on Very Large Data Bases - Volume 11
Lazy maintenance of materialized views
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
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Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
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OSDI'10 Proceedings of the 9th USENIX conference on Operating systems design and implementation
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USENIX ATC'13 Proceedings of the 2013 USENIX conference on Annual Technical Conference
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Pequod is a distributed application-level key-value cache that supports declaratively defined, incrementally maintained, dynamic, partially-materialized views. These views, which we call cache joins, can simplify application development by shifting the burden of view maintenance onto the cache. Cache joins define relationships among key ranges; using cache joins, Pequod calculates views on demand, incrementally updates them as required, and in many cases improves performance by reducing client communication. To build Pequod, we had to design a view abstraction for volatile, relationless key-value caches and make it work across servers in a distributed system. Pequod performs as well as other in-memory key-value caches and, like those caches, outperforms databases with view support.