Efficiently updating materialized views
SIGMOD '86 Proceedings of the 1986 ACM SIGMOD international conference on Management of data
SIGMOD '87 Proceedings of the 1987 ACM SIGMOD international conference on Management of data
ACM Transactions on Database Systems (TODS)
Maintaining views incrementally
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
View maintenance in a warehousing environment
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
Algorithms for deferred view maintenance
SIGMOD '96 Proceedings of the 1996 ACM SIGMOD international conference on Management of data
Algebraic change propagation for semijoin and outerjoin queries
ACM SIGMOD Record
Locking Primitives in a Database System
Journal of the ACM (JACM)
Making views self-maintainable for data warehousing
DIS '96 Proceedings of the fourth international conference on on Parallel and distributed information systems
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Incremental Recomputation of Active Relational Expressions
IEEE Transactions on Knowledge and Data Engineering
Concurrency Control Theory for Deferred Materialized Views
ICDT '97 Proceedings of the 6th International Conference on Database Theory
On-line Schema Update for a Telecom Database
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Incremental maintenance of aggregate and outerjoin expressions
Information Systems
Data recovery in IBM database 2
IBM Systems Journal
Online, non-blocking relational schema changes
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
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In existing systems, user transactions get blocked during materialized view creation and non-trivial database schema transformations. Blocking user transactions is not an option in systems with high availability requirements. A non-blocking method to perform such tasks is therefore needed. In this paper, we present a method for non-blocking creation of derived tables, suitable for highly available databases. These derived tables can be used to create materialized views and to transform the database schema. Modified versions of well-known crash recovery techniques are used, thus making the method easy to integrate into existing DBMSs. Because the involved tables are not locked, the derived table creation may run as a low priority background process. As a result, the process has little impact on concurrent user transactions.