Recursive SQL Query Optimization with k-Iteration Lookahead

2006 ◽  
pp. 348-357 ◽  
Author(s):  
Ahmad Ghazal ◽  
Alain Crolotte ◽  
Dawit Seid
Keyword(s):  
Query Optimization ◽  
Sql Query

SQL query optimization through nested relational algebra

2007 ◽  
Vol 32 (3) ◽  
pp. 18 ◽  
Author(s):  
Bin Cao ◽  
Antonio Badia
Keyword(s):  
Query Optimization ◽  
Relational Algebra ◽  
Sql Query

MPP SQL Query Optimization with RTCG

2018 ◽  
pp. 228-249
Author(s):  
K. T. Sridhar ◽  
M. A. Sakkeer ◽  
Shiju Andrews ◽  
Jimson Johnson
Keyword(s):  
Query Optimization ◽  
Sql Query

SQL query optimization in Content Based Image Retrieval systems

2016 ◽  
Author(s):  
Nicoleta Angelescu ◽  
Henri George Coanda ◽  
Ion Caciula ◽  
Catalin Dragoi ◽  
Felix Albu
Keyword(s):  
Image Retrieval ◽  
Query Optimization ◽  
Content Based Image Retrieval ◽  
Retrieval Systems ◽  
Sql Query

scholarly journals SQL Query Optimization Techniques

IJARCCE ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 87-90
Author(s):  
Priyanka R. Munot ◽  
Dipali R. Patil ◽  
Kajal P. Pathak
Keyword(s):  
Query Optimization ◽  
Optimization Techniques ◽  
Sql Query

Advanced Query Optimization

2005 ◽  
pp. 11-17 ◽  
Author(s):  
Antonio Badia
Keyword(s):  
Query Optimization ◽  
Cost Optimization ◽  
Relational Algebra ◽  
Materialized Views ◽  
Benchmark Database ◽  
Join Queries ◽  
Relational Systems ◽  
Foreign Key ◽  
Complementary Techniques ◽  
Sql Query

Query optimization has been an active area of research ever since the first relational systems were implemented. In the last few years, research in the area has experienced renewed impulse, thanks to new development like data warehousing. In this article, we overview some of the recent advances made in complex query optimization. This article assumes knowledge of SQL and relational algebra, as well as the basics of query processing; in particular, the user is assumed to understand cost optimization of basic SQL blocks (Select-Project-Join queries). After explaining the basic unnesting approach to provide some background, we overview three complementary techniques: source and algebraic transformations (in particular, moving outerjoins and pushing down aggregates), query rewrite (materialized views), new indexing techniques (bitmap and join indices), and different methods to build the answer (online aggregation and sampling). Throughout this article, we will use subquery to refer to a nested SQL query and outer query to refer to an SQL query that contains a nested query. The TPCH benchmark database (TPC, n.d.) is used as a source of examples. This database includes (in ascending size order) tables Nation, Customer (with a foreign key for Nation), Order (with a foreign key for Customer), and Lineitem (with a foreign key for Order). All attributes from a table are prefixed with the initial of the table’s name (“c_” for Customer, and so on).

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