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aggregate query processing

  • Distributed Processing of Location-Based Aggregate Queries ...

    The location-based aggregate queries, consisting of the shortest average distance query (SAvgDQ), the shortest minimal distance query (SMinDQ), the shortest maximal distance query (SMaxDQ), and the shortest sum distance query (SSumDQ) are new types of location-based queries. Such queries can be used to provide the user with useful object information by considering both the spatial closeness of ...

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  • A Hybrid Aggregate Index Method for Trajectory Data

    When the historical probability aggregates the query, it is only necessary to find the bucket that intersects the query area according to the time space condition and use its quaternion vector value to determine the sketch of the query area. 5. Aggregate Query Processing. In the aggregate query stage, the client first sends out the query request.

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  • Processing Complex Aggregate Queries over Data Streams

    sults to user queries while looking at the relevant data items only once and in a fixed order (determined by the stream-arrival pattern). Two key parameters for query processing over continuous data-streams are (1) the amount of memory made available to the on-line algorithm, and (2) the per-item processing timerequired by the query processor.

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  • A Sample-and-Clean Framework for Fast and Accurate Query ...

    In emerging Big Data scenarios, obtaining timely, high-quality answers to aggregate queries is difficult due to the challenges of processing and cleaning large, dirty data sets. To increase the speed of query processing, there has been a resurgence of interest in sampling-based approximate query processing …

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  • Clustering spatial networks for aggregate query processing ...

    made by the aggregate network operations during query processing. For this purpose, different techniques based on the clustering graph model are proposed in the literature. In this work, we show that the state-of-the-art clustering graph model is not able to correctly capture the disk access costs of aggregate network operations.

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  • Sliding-Window Probabilistic Threshold Aggregate Queries ...

    2.2. Probabilistic Aggregate Queries on Uncertain Data Streams. Stream query processing, where data are naturally high-speed and unbounded, has attracted much attention. Similar to certain data streams, there are two models for processing uncertain data streams according to the time aspect: unbounded streaming model and sliding-window model.

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  • sql - Nested aggregate function in SELECT list - Stack ...

    If I understand well, first I need execute one aggregate function, which result another grouped result set, and then I need to evaluate second aggregate function. In other words, SELECT list was processing complete like one phase, and in that step can make only one aggregation? – veljasije Jan 21 '13 at 11:00

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  • aggregation - Elasticsearch: Aggregate results of query ...

    This should search for playstation and aggregate the results based on shop_id. Sadly it only returns . Data too large, data would be larger than limit of [8534150348] bytes]. I also tried it with queries returning only 2 results. The index contains more than 90,000,000 products.

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  • Approximate Query Processing in Oracle Database 12c ...

    Home » Articles » 12c » Here. Approximate Query Processing in Oracle Database 12c Release 2 (12.2) The APPROX_COUNT_DISTINCT function was added, but not documented, in Oracle 11g to improve the speed of calculating the number of distinct values (NDV) when gathering statistics using the DBMS_STATS package. Oracle Database 12c Release 1 (12.1) documented it for the first time, …

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  • Aggregate Query Processing on Incomplete Data | SpringerLink

    Jul 19, 2018· In this paper, we propose to directly estimate the aggregate query result on incomplete data, rather than imputing the missing values. An interval estimation, composed of the upper and lower bound of aggregate query results among all possible interpretation of …

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  • Reduce CPU of Large Analytic Queries Without Changing Code ...

    Mar 25, 2020· The example runs the test aggregate query twice. The first execution uses compatibility level 140, so the query must use row mode operators to process the test query. The second execution runs under compatibility mode 150 to demonstrate how batch mode improves the query processing for the same test query.

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  • Distributed Processing of Location-Based Aggregate Queries ...

    Such queries can be used to provide the user with useful object information by considering both the spatial closeness of objects to the query object and the neighboring relationship between objects. Due to a large amount of location-based aggregate queries that need to be evaluated concurrently, the centralized processing system would suffer a ...

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  • Online aggregation - Wikipedia

    Online aggregation is a technique for improving the interactive behavior of database systems processing expensive analytical queries. Almost all database operations are performed in batch mode, i.e. the user issues a query and waits till the database has finished processing the entire query. On the contrary, using online aggregation, the user gets estimates of an aggregate query in an online ...

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  • dblp: Aggregate Query Processing on Incomplete Data.

    Bibliographic details on Aggregate Query Processing on Incomplete Data. Add a list of references from and to record detail pages.. load references from crossref.org and opencitations.net

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  • DBMS SQL Aggregate function - javatpoint

    SQL aggregation function is used to perform the calculations on multiple rows of a single column of a table. It returns a single value. It is also used to summarize the data. Types of SQL Aggregation Function. 1. COUNT FUNCTION. COUNT function is used to Count the number of rows in a database table. It can work on both numeric and non-numeric ...

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  • Specifying where aggregate rollups are processed

    The Rollup Processing property for data sources determines how aggregate rollups above the detail level in the report are computed. The default is set to local if local query processing is enabled, and is otherwise set to database. Note: This property is not applicable for SAP BW data sources. The possible options for this property are. Unspecified

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  • Voronoi-based aggregate nearest neighbor query processing ...

    In this paper we present an algorithm for processing aggregate nearest neighbor queries in time-dependent road networks, i.e., given a road network where the travel time over an edge is time ...

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  • Aggregate Functions (Transact-SQL) - SQL Server ...

    The OVER clause may follow all aggregate functions, except the STRING_AGG, GROUPING or GROUPING_ID functions. Use aggregate functions as expressions only in the following situations: The select list of a SELECT statement (either a subquery or an outer query). A HAVING clause. Transact-SQL provides the following aggregate functions:

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  • Randomized Algorithms for Data Reconciliation in Wide …

    Randomized Algorithms for Data Reconciliation in Wide Area Aggregate Query Processing ∗ Fei Xu, Christopher Jermaine Department of Computer and Information Sciences and Engineering University of Florida Gainesville, FL, USA, 32611 {feixu, cjermain}@cise.ufl.edu ABSTRACT Many aspects of the data integration problem have been

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  • Foundations of Querying Microsoft SQL Server 2012 ...

    Transact-SQL (T-SQL) is the main language used to manage and manipulate data in Microsoft SQL Server. This chapter lays the foundations for querying data by using T-SQL. The chapter describes the roots of this language, terminology, and the mindset you need to adopt when writing T-SQL code. It then moves on to describe one of the most important concepts you need to know about the language ...

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  • Distributed Processing of Location-Based Aggregate Queries ...

    Due to a large amount of location-based aggregate queries that need to be evaluated concurrently, the centralized processing system would suffer a heavy query load, leading eventually to poor ...

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  • Surfing Wavelets on Streams: One-Pass Summaries for ...

    models and queries such as aged aggregate queries that we perform in this paper has not previously appeared. 3 Data Streams and Query Processing In this section, we formally define data streams and differ-ent data stream models. Streaming Data Models. Our input, that we refer to as the stream, arrives sequentially, item by item, and describes

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  • Aggregation — MongoDB Manual

    MongoDB also provides db.collection.estimatedDocumentCount(), db.collection.count() and db.collection.distinct(). All of these operations aggregate documents from a single collection. While these operations provide simple access to common aggregation processes, they lack the flexibility and capabilities of the aggregation pipeline and map-reduce.

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  • US6182061B1 - Method for executing aggregate queries, and ...

    The present invention relates to a method for processing aggregate queries on a parallel computer system, that are required for a database processing, such as Data Mining. The aggregate query or aggregation includes a query of aggregation for each group in the database. 2. Related Art

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  • Anti-Tamper Databases: Processing Aggregate Queries over ...

    This paper is about anti-tamper databases, where the database contents are encrypted for security in a way to allow efficient query processing directly on Anti-Tamper Databases: Processing Aggregate Queries over Encrypted Databases - IEEE Conference Publication

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  • Optimization Thresholds – Grouping and Aggregating Data ...

    Jun 13, 2018· Figure 7: Plans for Query 10 and Query 11. Indeed, with 1,454 input rows (below the optimization threshold), the optimizer naturally prefers the Sort + Stream Aggregate algorithm for Query 10, and with 1,455 input rows (above the optimization threshold), the optimizer naturally prefers the Hash Aggregate algorithm for Query 11.

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  • Specifying where aggregate rollups are processed

    The Rollup Processing property for data sources determines how aggregate rollups above the detail level in the report are computed. The default is set to local if local query processing is enabled, and is otherwise set to database.

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  • CiteSeerX — Aggregate-Query Processing in Data Warehousing ...

    BibTeX @INPROCEEDINGS{Gupta95aggregate-queryprocessing, author = {Ashish Gupta and Venky Harinarayan and Dallan Quass}, title = {Aggregate-Query Processing in Data Warehousing Environments}, booktitle = {In Proceedings of the International Conference on Very Large Databases}, year = {1995}, pages = {358--369}}

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  • Aggregate functions in SQL - GeeksforGeeks

    In database management an aggregate function is a function where the values of multiple rows are grouped together as input on certain criteria to form a single value of more significant meaning. Various Aggregate Functions. 1) Count () 2) Sum () 3) Avg () 4) Min () 5) Max () Now let us understand each Aggregate function with a example:

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  • Processing Location-Based Aggregate Queries in Road …

    Processing Location-Based Aggregate Queries in Road ... Recently, many efforts have been made on processing the range queries in different research domains, such as mobile information systems and uncertain database systems. The KNN query is the most common type of location-based queries, ...

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