'Nested loop join' diaporamas de présentation

CS411 Database Systems

CS411 Database Systems. 10: Query Processing. Query Execution. Outline. Logical/physical operators Cost parameters and sorting One-pass algorithms Nested-loop joins Two-pass algorithms. Query Execution. Query or update. User/ Application. Query compiler.

1.4k views • 116 slides

Principles of Database Management Systems 5: Query Processing

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Robust Query Processing through Progressive Optimization

Robust Query Processing through Progressive Optimization. Volker Markl, Vijayshankar Raman, David Simmen, Guy Lohman, Hamid Pirahesh, Miso Cilimdzic. SIGMOD 2004. Modified by S. Sudarshan from talk by Raja Agrawal. Motivation.

452 views • 35 slides

Robust Query Processing through Progressive Optimization

Robust Query Processing through Progressive Optimization. Volker Markl, Vijayshankar Raman, David Simmen, Guy Lohman, Hamid Pirahesh, Miso Cilimdzic. SIGMOD 2004. Modified by S. Sudarshan from talk by Raja Agrawal. Motivation.

476 views • 35 slides

Joe Carola, Siemens HS

Database Performance Topics: - DB Design - Optimization & Indexing - Monitoring and Tuning Joe Carola Siemens Medical Solutions, Health Services. Joe Carola, Siemens HS. Bio 30+ years in Information Technology

489 views • 34 slides

Query Processing

Query Processing. Two-Pass Algorithms. Source: our textbook. Nested-Loop Joins. Another helpful primitive. Main idea to join relations R and S : for each tuple s in S do for each tuple r in R do if r and s match then ouput the join of r and s How to optimize this?.

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Lecture 23: Query Execution

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Execution plans

Execution plans. By Nimesh Shah , Amit Bhawnani. Outline. What is execution plan How are execution plans created How to get an execution plan Graphical Text. What is execution plan.

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ICS 421 Spring 2010 Query Evaluation ( i )

ICS 421 Spring 2010 Query Evaluation ( i ). Asst. Prof. Lipyeow Lim Information & Computer Science Department University of Hawaii at Manoa. SELECT * FROM Reserves WHERE sid =101. Query. ? Sid=101. Parse Query. A. B. Reserves. Enumerate Plans. fetch. SCAN ( sid =101). Reserves.

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ICS 421 Spring 2010 Query Evaluation ( i )

ICS 421 Spring 2010 Query Evaluation ( i ). Asst. Prof. Lipyeow Lim Information & Computer Science Department University of Hawaii at Manoa. SELECT * FROM Reserves WHERE sid =101. Query. ? Sid=101. Parse Query. A. B. Reserves. Enumerate Plans. fetch. SCAN ( sid =101). Reserves.

279 views • 21 slides

Around the world (of query plan operators) in 50 minutes

Around the world (of query plan operators) in 50 minutes. David Morrison BI Consultant. Before we start, a little about me . . . . . BI Consultant for, you guessed it, Adatis I have worked in development and databases for around 12 years

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CS143:Evaluation and Optimization

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Query Optimization

Query Optimization. Vishy Poosala Bell Labs. Outline. Introduction Necessary Details Cost Estimation Result Size Estimation Standard approach for query optimization Other ways Related Concepts.

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Quick Review of Apr 22 material

Quick Review of Apr 22 material . Sections 13.1 through 13.3 in text Query Processing: take an SQL query and: parse/translate it into an internal representation optimize it (choose an efficient form for the query) evaluate it Metadata for query processing Operations (and their costs):

241 views • 13 slides