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definition of aggregate query processing

definition of aggregate query processing. Aggregate Query Processing, A Link Based Storage Scheme For Efficient impact of applying aggregate query processing in

Aggregate-Query Processing in Data Warehousing

2006-7-29  Aggregate-Query Processing in Data Warehousing Environments* Ashish Gupta Venky Harinarayan Dallan Quass IBM Almaden Research Center Abstract In this paper we introduce generalized pro- jections (GPs), an extension of duplicate- eliminating projections, that capture aggre- gations, groupbys, duplicate-eliminating pro-

aggregate query processing definition

aggregate query processing definition, optimizing aggregate queries in cache. request: regionbased query processing in sensor networks. the processing of grouped aggregate queries. however, since a region in our approach is defined as a .. inside a circle having a diameter d by definition 1.

Aggregate Query Processing on XML Data

Aggregate Query Processing of Streaming XML Data Yaw-Huei Chen and Ming-Chi Ho Department of Computer Science and Information Engineering National Chiayi University {ychen, s0920206}@mail.ncyu.edu.tw Abstract (1:9, 1) A//B//C )))) A1 B1 A2 B2 C1 Many XML query processing techniques have (b) Query been proposed for processing structural joins. These

Aggregate Query Processing for Semantic Web

Aggregate Query Processing for Semantic Web Databases: an Algebraic Approach. research work shows a growing interest in the definition of graph models and languages to allow a natural way of

Aggregate query processing in the presence of

2015-3-10  Since the processing of a tumbling window query is the same as multiple invocations of a single window aggregate query, we assume 0 < ℓ < w without loss of generality in the rest of paper. To make our presentation simpler, we also assume that Q w is invoked at timestamp 1 in this section.

Processing SPARQL Aggregate Queries with Web

2020-5-27  Approximate query processing is a well-known approach to speedup aggregate query processing . The approach relies on sampling, synopses or sketches techniques to approximate results with bounded errors. The sampling approach proposed in scales with large knowledge graphs, and overcomes quotas but computes approximate query

Aggregate data faster with approximate query

2019-5-22  Aggregate data faster with approximate query processing. The article includes an introduction to the approximate query processing concept, a definition of the available functions and their usage, and a generic test script to evaluate approximate query performance. 1. Introduction to approximate query processing

Theory of Linear Operators for Aggregate Stream

2020-7-2  theory of linear operators for aggregate stream query processing by guruditta golani a thesis presented to the graduate school of the university of florida in partial fulfillment of the requirements for the degree of master of science university of florida 2005 to i;/ parents and my brother. acknowledgments

Aggregate Definition of Aggregate by Merriam

aggregate: [adjective] formed by the collection of units or particles into a body, mass, or amount : collective: such as. clustered in a dense mass or head. formed from several separate ovaries of a single flower. composed of mineral crystals of one or more kinds or

Aggregate Function (Report Builder) SQL Server

2017-3-15  The Aggregate function provides a way to use aggregates that are calculated on the external data source. Support for this feature is determined by the data extension. For example, the SQL Server Analysis Services data processing extension retrieves flattened rowsets from an MDX query.

db.aggregate() — MongoDB Manual

2021-5-12  db.aggregate()¶ Definition Specifies to return the information on the processing of the pipeline. See Return Information on Aggregation Pipeline Operation for an example. Not available in multi-document transactions. The query returns the instance's most recent data.

Assembling Regions for Efficacious Aggregate Query

2019-4-10  Assembling Regions for Efficacious Aggregate Query Processing in Wireless Sensor Networks by Apostolos Fertis Diploma, Electrical and Computer Engineering (2003) National Technical University of Athens Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements of

db.collection.aggregate() — MongoDB Manual

2021-5-12  db.collection.aggregate()¶ Definition The query returns the instance's most recent data. The operation returns a document that details the processing of the aggregation pipeline. For example, the document may show, among other details, which index, if any, the operation used.

The generalized pre-grouping transformation:

generalized pre-grouping transformation hierarchical surrogate key aggregate-query optimization pre-grouping transformation hierarchical pre-grouping fact table general algebraic definition efficient evaluation access method new processing sufficient condition provided theorem explicit usage special attribute additional result formal definition

AGGREGATE JOIN INDEX UTILIZATION IN QUERY

2008-8-5  A system comprising: one or more processing units; one or more data storage units coupled to the one or more processors; one or more optimizers executing on the one or more processing units that are configured to: obtain a query that specifies an aggregate with a grouping key; identify an aggregate join index (AJI) that does not contain the

The Generalized Pre-Grouping Transformation: Aggregate

2006-7-29  The Generalized Pre-Grouping Transformation: Aggregate-Query Optimization in the Presence of Dependencies Aris Tsois Timos Sellis Institute of Communication and Computer Systems and School of Electrical and Computer Engineering National Technical University of Athens Zographou 15773, Athens, Hellas {atsois,timos}@dblab.ece.ntua.gr Abstract

System Architecture for Approximate Query Processing

processing is a scalar value that represents the approximation of an aggregate value. In addition, the system provides also methods to execute queries directly on the real data of the DW.

Predicted range aggregate processing in spatio-temporal

2006-7-31  Predicted Range Aggregate Processing in Spatio-temporal Databases Wei Liao, Guifen Tang, Ning Jing, Zhinong Zhong School of Electronic Science and Engineering, National University of Defense Technology Changsha, China [email protected] Abstract Predicted range aggregate (PRA) query is an important researching issue in spatio-temporal

Extensible Query Processing in Starburst

2010-12-1  processing extensions (e.g., new join methods and new query transformations). To support these features, the database query language processor must be very powerful and highly extensible. Starburst’s language processor features a powerful query language, rule-based optimization and query

Aggregate Definition of Aggregate by Merriam

aggregate: [adjective] formed by the collection of units or particles into a body, mass, or amount : collective: such as. clustered in a dense mass or head. formed from several separate ovaries of a single flower. composed of mineral crystals of one or more kinds or

db.collection.aggregate() — MongoDB Manual

2021-5-12  db.collection.aggregate()¶ Definition The query returns the instance's most recent data. The operation returns a document that details the processing of the aggregation pipeline. For example, the document may show, among other details, which index, if any, the operation used.

db.aggregate() — MongoDB Manual

2021-5-12  db.aggregate()¶ Definition Specifies to return the information on the processing of the pipeline. See Return Information on Aggregation Pipeline Operation for an example. Not available in multi-document transactions. The query returns the instance's most recent data.

Efficient SUM Query Processing over Uncertain Data

2021-3-14  Key words: Probabilistic databases, query processing, aggregate queries. 1 INTRODUCTION Aggregate (or aggr for short) queries, in particular SUM queries, are crucial for many applications that need to deal with probabilistic data [13][17][25]. Let us give two motivating examples from the medical and environmental domains.

AGGREGATE JOIN INDEX UTILIZATION IN QUERY

2008-8-5  A system comprising: one or more processing units; one or more data storage units coupled to the one or more processors; one or more optimizers executing on the one or more processing units that are configured to: obtain a query that specifies an aggregate with a grouping key; identify an aggregate join index (AJI) that does not contain the

Query Processing Architecture Guide SQL Server

2020-2-21  Processing a SELECT Statement. The basic steps that SQL Server uses to process a single SELECT statement include the following: The parser scans the SELECT statement and breaks it into logical units such as keywords, expressions, operators, and identifiers.; A query tree, sometimes referred to as a sequence tree, is built describing the logical steps needed to transform the source data into

Aggregate Cache GitHub Pages

2016-1-14  The aggregate cache entry is first created during query processing (Fig. 3) and it is maintained during the deltamerge operations. Aggregate cache metrics are maintained for each entry including the aggregate’s size, the number of aggregated records, execution times for delta and main compensations, maintenance times, and usage information.

Extensible Query Processing in Starburst

2010-12-1  processing extensions (e.g., new join methods and new query transformations). To support these features, the database query language processor must be very powerful and highly extensible. Starburst’s language processor features a powerful query language, rule-based optimization and query

What is Query? Definition from Techopedia

2021-5-13  What Does Query Mean? A query is a request for data or information from a database table or combination of tables. This data may be generated as results returned by Structured Query Language (SQL) or as pictorials, graphs or complex results, e.g., trend analyses from data-mining tools.

Standard query vs Pass-Through: traffic and data

2011-3-23  A passthrough query does always insure that all processing occurs on the server. For queries that utilize linked tables, the processing will occur on the server IF Access (actually Jet/Ace) can convert the Jet/ACE SQL to T-SQL. Access 2007 does do a better job of passing processing to the server than prior versions did. E.G.