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The W3C XQuery language recommendation, based on a hierarchical and ordered document model, supports a wide variety of constructs and use cases. There is a diversity of approaches and strategies for evaluating XQuery expressions, in many cases only dealing with limited subsets of the language. In this paper we describe an implementation approach that(More)
This paper presents an application of a DL reasoner to the optimization of an object-relational query language. Queries containing aggregate functions are difficult to optimize because care must be taken to guarantee that the output value of the aggregate function is not affected. We present a mapping from an object-relational aggregate query to a DL(More)
Internet traffic patterns are believed to obey the power law, implying that most of the bandwidth is consumed by a small set of heavy users. Hence, queries that return a list of frequently occurring items are important in the analysis of real-time Internet packet streams. While several results exist for computing frequent item queries using limited memory(More)
This paper presents algorithms for identifying frequent items within a sliding window in the data stream computational model, assuming that item types conform to a multinomial distribution. We begin by introducing the drifting data distribution model, which assumes that item type frequencies approximately follow the same distribution in every instance of(More)
Appropriately selected materialized views (also called <i>indexed</i> views) can speed up query execution by orders of magnitude. Most database systems limit support for materialized views to select-project-join expressions, possibly with a group-by, over base tables because this class of views can be efficiently maintained incrementally and thus kept up to(More)
Histograms that guarantee a maximum multiplicative error (q-error) for estimates may significantly improve the plan quality of query optimizers. However, the construction time for histograms with maximum q-error was too high for practical use cases. In this paper we extend this concept with a threshold, i.e., an estimate or true cardinality &#952;, below(More)
We describe our experience in the development of self-managing technologies in Sybase SQL Anywhere, a full-featured relational database system that is commonly embedded with applications developed by Independent Software Vendors (ISVs). We illustrate how SQL Anywhere's embeddability features work in concert to provide a robust data management solution in(More)
— Query plan caching eliminates the need for repeated query optimization; hence, it has strong practical implications for relational database management systems (RDBMSs). Unfortunately , existing approaches consider only the query plan generated at the expected values of parameters that characterize the query, data and the current state of the system, while(More)
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