Query Processing Architecture Guide
How SQL Server processes queries and optimizes query reuse through execution plan caching.
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Optimal Linear Aggregate Query Processing under …
Based on this new formulation, we propose the first polynomial solution COA that guarantees to find the optimal strat-egy for processing a batch of arbitrary linear aggregate queries un-der approximate differential privacy. COA is based on Newton's method and it utilizes various non-trivial properties of the problem.
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Query Processing in SQL
Query Processing includes translations of high-level Queries into low-level expressions that can be used at the physical level of the file system, query optimization, and actual execution of the query to get the actual result.
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Aggregate-Query Processing in Data Warehousing …
Generalized projections are introduced, that capture aggregations, groupbys, duplicate-eliminating projections (distinct and duplicate-preserving projections in a common unified framework), and powerful query rewrite rules for aggregate queries are developed that unify and extend rewrite rules previously known in the literature. In this paper we introduce …
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SQL Aggregate Functions
Aggregate functions ignore null values (except for COUNT()). We will go through the aggregate functions above in the next chapters. Well organized and easy to understand Web building tutorials with lots of examples of how to use HTML, CSS, JavaScript, SQL, Python, PHP, Bootstrap, Java, XML and more.
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Approximate Query Processing Based on Approximate …
Approximate Query Processing Based on Approximate Materialized View 169 be returned in the acceptable time. Sampling based approximate query process-ing and aggregate precomputation are the two methods proposed in the past to try to solve this problem. During interactive queries, the database will produce
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Approximate Query Processing: What is New …
Online analytical processing (OLAP) is a core functionality in database systems. The performance of OLAP is crucial to make online decisions in many applications. However, it is rather costly to support OLAP on large …
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Optimal Linear Aggregate Query Processing under …
This paper points out that under differential privacy, the optimal strategy for answering an arbitrary batch of linear aggregate queries can be found, rather surprisingly, by solving a simple and elegant convex optimization program and proposes a efficient algorithm based on Newton's method, which proves t always converge to the optimal solution with linear …
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SQL Aggregate Functions
Aggregate functions ignore null values (except for COUNT()). We will go through the aggregate functions above in the next chapters. Well organized and easy to understand Web building …
WhatsApp: +86 18221755073
Approximate Query Processing using Deep Generative Models
The database community has pioneered many novel techniques for Approximate Query Processing (AQP) that could give approximate results in a fraction of time needed for …
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Optimizing Aggregate Query Processing in Cloud Data …
This paper designs query-processing algorithms by analyzing aggregate operation and eliminating most of the sort and group-by operations with the help of integrity constraints and their proposed storage structures, PK-map and Tuple-index-map, to improve the distributed query processing in cloud data warehouses.
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Relational aggregate query processing techniques for real …
In this thesis, a new query processing technique is proposed to cut down systematically the time involved in processing aggregate relational algebra queries in relational databases. We use data samples and statistical methods to construct an approximate response to a given aggregate query when there is not enough time to completely process the ...
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Optimizing Aggregate Query Processing in Cloud Data …
This paper designs query-processing algorithms by analyzing aggregate operation and eliminating most of the sort and group-by operations with the help of integrity constraints and their …
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Optimizing Aggregate Query Processing in Cloud Data …
In this paper, we study and optimize the aggregate query processing in a highly distributed Cloud Data Warehouse, where each database stores a subset of relational data in a star-schema.
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Optimizing Aggregate Query Processing in Cloud Data Warehouses …
In this paper, we study and optimize the aggregate query processing in a highly distributed Cloud Data Warehouse, where each database stores a subset of relational data in a star-schema.
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Aggregate-Query Processing in Data Warehousing Environments
Han X Wang B Li J Gao H (2018) Efficiently processing deterministic approximate aggregation query on massive data Knowledge and Information Systems 10.1007/s10115-017-1136-z 57:2 (437-473) Online publication date: 1-Nov-2018
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AQP++: Connecting Approximate Query Processing …
trying out all aggregate values as it will increase query processing time significantly. To this end, we propose an efficient aggregate-identification approach. The key idea is to quickly identify a small number of aggregate values whose corresponding queries look similar to the user query and then examine which one is the best only among them.
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Query processing in data-warehousing environments
OLAP systems involve processing complex aggregate queries on very large databases commonly called "data warehouses." Query response times can thus be very large for OLAP queries. However, since OLAP is an interactive process, small query response times are required.
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Cache-Based Aggregate Query Shipping: An Efficient …
Our study introduces a novel distributed query plan refinement phase in an enhanced architecture of distributed query processing engine (DQPE). Query plan refinement generates potentially efficient distributed query plan by reusable aggregate query shipping (RAQS) approach. The approach improves response time at the cost of pre-processing time. If …
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Query Processing Architecture Guide
The SQL Server Database Engine processes queries on various data storage architectures such as local tables, partitioned tables, and tables distributed across multiple servers. The following sections cover how SQL Server processes queries and optimizes query reuse through execution plan …
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Optimal Linear Aggregate Query Processing under …
Based on this new formulation, we propose the first polynomial solution COA that guarantees to find the optimal strat-egy for processing a batch of arbitrary linear aggregate queries un-der …
WhatsApp: +86 18221755073
Aggregate-Query Processing in Data Warehousing Environments
We develop powerful query rewrite rules for aggregate queries that unify and extend rewrite rules previously known in the literature. We then illustrate the power of our approach by solving a very practical and important problem in data warehousing: how to answer an aggregate query on base tables using materialized aggregate views (summary
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Approximate Query Processing using Deep Generative …
The database community has pioneered many novel techniques for Approximate Query Processing (AQP) that could give approximate results in a fraction of time needed for computing exact results. In this work, we explore the usage of deep learning (DL) for answering aggregate queries specifically for interactive applications such as data ...
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Ad-hoc aggregate query processing algorithms based on …
To the best of our knowledge, this is the first literature which proposes ad-hoc aggregate query processing algorithms based on bit-store for query intensive applications in cloud computing. The rest of the paper is organized as follows. A bit vector storage structure including five attribute encoding schemes, bit file storage and organization ...
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SQL Aggregate functions
SQL Aggregate Functions are used to perform calculations on a set of rows and return a single value. They are often used with the GROUP BY clause in SQL to summarize data for each group. Commonly used aggregate functions include COUNT (), …
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SQL Aggregate functions
Approximate query processing is a new feature family. It aggregates across large datasets where responsiveness is more critical than absolute precision. An example is calculating a COUNT(DISTINCT()) across …
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[2204.07125] Online Aggregation based Approximate Query Processing…
In the current world, OLAP (Online Analytical Processing) is used intensively by modern organizations to perform ad hoc analysis of data, providing insight for better decision making. Thus, the performance for OLAP is crucial; however, it is costly to support OLAP for a large data-set. An approximate query process (AQP) was proposed to efficiently compute …
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Intelligent query processing details
Approximate query processing is a new feature family. It aggregates across large datasets where responsiveness is more critical than absolute precision. An example is calculating a COUNT(DISTINCT()) across 10 billion rows, for display on a dashboard.
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Combining Aggregation and Sampling (Nearly) Optimally for …
Sample-based approximate query processing (AQP) suffers from many pitfalls such as the inability to answer very selective queries and unreliable confidence intervals when sample sizes are small.Recent research presented an intriguing solution of combining materialized, pre-computed aggregates with sampling for accurate and more reliable AQP.We …
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Combining Aggregation and Sampling (Nearly) …
30% of a Facebook workload consists of aggregate queries over tables larger than 1TB [3]. Examples such as these have motivated nearly 40 years of approximate query processing (AQP) research, where a database deliberately saces accuracy for faster [10, 27] or more resource-efficient results [29] for aggregate queries.
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