Results 21 to 30 of about 327,421 (217)
An Overwiew of Evolution of Lexical Query Optimization Techniques
Труды Института системного программирования РАН, 2018 The presented overview is concerned with lexical query optimization and covers papers published in the last four decades. The paper consists of five sections.
N. A. Mendkovich, S. D. Kuznetsov
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On the Optimization of Recursive Relational Queries: Application to Graph Queries [PDF]
Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, 2020 Graph databases have received a lot of attention as they are particularly useful in many applications such as social networks, life sciences and the semantic web. Various languages have emerged to query graph databases, many of which embed forms of recursion which reveal essential for navigating in graphs. The relational model has benefited from a huge
Jachiet, Louis +3 more
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Adaptive Recursive Query Optimization [PDF]
arXiv, 2023 Performance-critical industrial applications, including large-scale program, network, and distributed system analyses, are increasingly reliant on recursive queries for data analysis. Yet traditional relational algebra-based query optimization techniques do not scale well to recursive query processing due to the iterative nature of query evaluation ...
arxiv
Enhancing MongoDB query performance through index optimization [PDF]
E3S Web of ConferencesThis article delves into the critical aspect of enhancing query performance in MongoDB through meticulous index optimization. It begins with an introduction to MongoDB's unique document-oriented data storage approach and its inherent scalability, which ...
Nuriev Marat +4 more
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Proceedings of the VLDB Endowment, 2019 Query optimization is one of the most challenging problems in database systems. Despite the progress made over the past decades, query optimizers remain extremely complex components that require a great deal of hand-tuning for specific workloads and datasets. Motivated by this shortcoming and inspired by recent advances in applying machine
Marcus, Ryan +7 more
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Effectiveness and Efficiency Trade-off in Selective Query Processing [PDF]
arXiv, 2023 Query processing in search engines can be optimized for use for all queries. For this, system component parameters such as the weighting function or the automatic query expansion model can be optimized or learned from past queries. However, it may be more interesting to optimize the processing thread on a query-by-query basis by adjusting the component
arxiv
Trade-Offs Computing Minimum Hub Cover Toward Optimized Labeled Graph Query Processing
Online Academic Journal of Information Technology, 2018 As techniques for graph query processing mature, the need for optimization is increasingly becoming an imperative. Indices are one of the key ingredients toward efficient query processing strategies via cost-based optimization.
Hasan M. Jamil +3 more
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Research and Implementation of Document-Relational Data Query Execution Tech-nology
Jisuanji kexue yu tansuo, 2020 With the arrival of the era of big data, Internet applications have produced abundant data types. Integ-rating storage, query and organization of data with various structures is a research hotspot of large data management system.
MA Zhicheng, YUAN Haifeng, GU Yang, LIU Yaru, ZHANG Xiao
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Adding Domain Knowledge to Query-Driven Learned Databases [PDF]
arXiv, 2023 In recent years, \emph{learned cardinality estimation} has emerged as an alternative to traditional query optimization methods: by training machine learning models over observed query performance, learned cardinality estimation techniques can accurately predict query cardinalities and costs -- accounting for skew, correlated predicates, and many other ...
arxiv
Query optimization in relational database systems and cloud computing technology [PDF]
Компьютерные исследования и моделирование, 2015 Optimization is the heart of relational Database Management System (DMBS). Its can analyzes the SQL statements and determines the most efficient access plan to satisfy every query request.
A. V. Bogdanov, Lwin Thurein Kyaw
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