Results 1 to 10 of about 4,465,023 (252)

Neo: A Learned Query Optimizer [PDF]

open access: yesProceedings 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 ...
Alizadeh, Mohammad   +7 more
core   +7 more sources

A technique for parallel query optimization using MapReduce framework and a semantic-based clustering method [PDF]

open access: yesPeerJ Computer Science, 2021
Query optimization is the process of identifying the best Query Execution Plan (QEP). The query optimizer produces a close to optimal QEP for the given queries based on the minimum resource usage.
Elham Azhir   +4 more
doaj   +3 more sources

Query Optimization for Distributed Spatio-Temporal Sensing Data Processing [PDF]

open access: yesSensors, 2022
The unprecedented development of Internet of Things (IoT) technology produces humongous amounts of spatio-temporal sensing data with various geometry types.
Xin Li   +3 more
doaj   +2 more sources

Sampling-Based Query Re-Optimization [PDF]

open access: yesSIGMOD Conference, 2016
Despite of decades of work, query optimizers still make mistakes on "difficult" queries because of bad cardinality estimates, often due to the interaction of multiple predicates and correlations in the data.
Bruno N.   +5 more
core   +2 more sources

XPath Whole Query Optimization [PDF]

open access: yesProceedings of the VLDB Endowment, 2010
Previous work reports about SXSI, a fast XPath engine which executes tree automata over compressed XML indexes. Here, reasons are investigated why SXSI is so fast.
Maneth, Sebastian, Nguyen, Kim
core   +4 more sources

Pipelining in multi-query optimization [PDF]

open access: greenJournal of Computer and System Sciences, 2001
AbstractDatabase systems frequently have to execute a set of related queries, which share several common subexpressions. Multi-query optimization exploits this, by finding evaluation plans that share common results. Current approaches to multi-query optimization assume that common subexpressions are materialized. Significant performance benefits can be
Nilesh Dalvi   +3 more
openalex   +5 more sources

DISTRIBUTED QUERY OPTIMIZATION [PDF]

open access: yesAnalele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie, 2010
The need for the distributed systems has been determined by the type of business developed by companies with offices geographically distributed where the specific organizational structure promotes a decentralized business model.
Nicoleta IACOB
doaj   +1 more source

Query optimization for dynamic imputation [PDF]

open access: yesProceedings of the VLDB Endowment, 2017
Missing values are common in data analysis and present a usability challenge. Users are forced to pick between removing tuples with missing values or creating a cleaned version of their data by applying a relatively expensive imputation strategy. Our system, ImputeDB, incorporates imputation into a cost-based query optimizer, performing necessary ...
Cambronero, José   +3 more
openaire   +4 more sources

Query optimization at the crossroads [PDF]

open access: bronzeProceedings of the 1997 ACM SIGMOD international conference on Management of data - SIGMOD '97, 1997
Surajit Chaudhuri
openalex   +4 more sources

Kepler: Robust Learning for Parametric Query Optimization [PDF]

open access: yesProc. ACM Manag. Data, 2023
Most existing parametric query optimization (PQO) techniques rely on traditional query optimizer cost models, which are often inaccurate and result in suboptimal query performance.
Lyric Doshi   +7 more
semanticscholar   +1 more source

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