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Neo: A Learned Query Optimizer [PDF]
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 ...
Alizadeh, Mohammad +7 more
core +7 more sources
A technique for parallel query optimization using MapReduce framework and a semantic-based clustering method [PDF]
PeerJ 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]
Sensors, 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]
SIGMOD 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]
Proceedings 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]
Journal 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]
Analele 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]
Proceedings 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]
Proceedings 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]
Proc. 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