Results 21 to 30 of about 193,669 (327)

Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources [PDF]

, 2018
Apache Calcite is a foundational software framework that provides query processing, optimization, and query language support to many popular open-source data processing systems such as Apache Hive, Apache Storm, Apache Flink, Druid, and MapD.
Begoli, Edmon, Hyde, Julian, Lemire, Daniel, Mior, Michael J., Rodríguez, Jesús Camacho   +4 more
core   +2 more sources

Optimization Method for Distributed Database Query Based on an Adaptive Double Entropy Genetic Algorithm

IEEE Access, 2022
In a distributed database environment, multi-join query optimization is one of the key factors affecting database performance. Genetic algorithms have a good application in dealing with this type of problem. However, the traditional genetic algorithm has
Bingxu Zheng, Xiang Li, Zhenzhen Tian, Limin Meng   +3 more
doaj   +1 more source

Genetic Algorithm for Relational Database Optimization in Reducing Query Execution Time

Scientific Journal of Informatics, 2018
The relational database is defined as the database by connecting between tables. Each table has a collection of information. The information is processed in the database by using queries, such as data retrieval, data storage, and data conversion.
Kukuh Triyuliarno Hidayat, Riza Arifudin, Alamsyah Alamsyah   +2 more
doaj   +1 more source

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
doaj   +1 more source

LocationSpark: In-memory Distributed Spatial Query Processing and Optimization

Frontiers in Big Data, 2020
Due to the ubiquity of spatial data applications and the large amounts of spatial data that these applications generate and process, there is a pressing need for scalable spatial query processing.
Mingjie Tang, Yongyang Yu, Ahmed R. Mahmood, Qutaibah M. Malluhi, Mourad Ouzzani, Walid G. Aref   +5 more
doaj   +1 more source

Pengujian Optimization dan Non-Optimization Query Metode Topsis untuk Menentukan Tingkat Kerusakan Sektor Bencana Alam

Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, 2022
Volume data yang sangat besar dari tim surveyor Perencanaan dan Pengendalian Penanganan Bencana(P3B) menciptakan masalah yang luas dan beragam sehingga dapat menghabiskan sumber daya sistem dan waktu pemrosesan yang terbilang lama.
Annisa Heparyanti Safitri, Agung Teguh Wibowo Almais, A'la Syauqi, Roro Inda Melani   +3 more
doaj   +1 more source

On the Complexity of Query Result Diversification [PDF]

, 2013
Query result diversification is a bi-criteria optimization problem for ranking query results. Given a database D, a query Q and a positive integer k, it is to find a set of k tuples from Q(D) such that the tuples are as relevant as possible to the query,
Abiteboul S., Adomavicius G., Agrawal R., Amer-Yahia S., Berbeglia G., Borodin A., Capannini G., Chen Z., Demidova E., Deng T., Drosou M., Durand A., Fagin R., Fraternali P., Gollapudi S., Hemaspaandra L. A., Ilyas I. F., Jin W., Koutrika G., Ladner R. E., Lappas T., Li C., Liu Z., Minack E., Prokopyev O. A., Schnaitter K., Stefanidis K., Valiant L., Vardi M. Y., Vee E., Vieira M. R., Xie M., Yu C., Yu C., Zhang M., Ziegler C.-N.   +35 more
core   +5 more sources

AMaχoS—Abstract Machine for Xcerpt [PDF]

, 2006
Web query languages promise convenient and efficient access to Web data such as XML, RDF, or Topic Maps. Xcerpt is one such Web query language with strong emphasis on novel high-level constructs for effective and convenient query authoring ...
Bry, François, Furche, Tim, Linse, Benedikt   +2 more
core   +1 more source

Enhancing MongoDB query performance through index optimization [PDF]

E3S Web of Conferences
This 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, Zaripova Rimma, Yanova Olga, Koshkina Irina, Chupaev Andrey   +4 more
doaj   +1 more source

ReoptSMART: A Learning Query Plan Cache [PDF]

, 2008
The task of query optimization in modern relational database systems is important but can be computationally expensive. Parametric query optimization(PQO) has as its goal the prediction of optimal query execution plans based on historical results ...
Fan, Wei, Lohman, Guy, Markl, Volker, Rao, Jun, Ross, Kenneth A., Stoyanovich, Julia   +5 more
core   +2 more sources