PPT-Query Optimization

Query Optimization Process simplified a bit Parse the SQL query into a logical tree identify distinct blocks corresponding to nested subqueries or views Query rewrite phase apply algebraic transformations. In addition to extensibility dynamic pro gramming and memorization based on and extended from the EXODUS and Volcano prototypes this new optimizer provides i manipulation of operator arguments using rules or functions ii operators that are both logi S. Sudarshan, IIT Bombay. Joint work with: . . Ravindra. . Guravannavar. , . . Karthik. . Ramachandra. , and. . Mahendra. . Chavan. , . and several other students. Group 4: . Nipun . Garg, Surabhi . Mithal. http://www-users.cs.umn.edu/~smithal/. Chapter Organization. 2. OLD Organization. 5.1 . Evaluation of Spatial Operations . 5.2 . Query Optimization . 5.3 . CSE 8330. Instructor: . Dr.Margaret. H. Dunham. Presenter: . Akshaya. . Aradhya. Introduction. Query optimization in XML databases. Query optimization in Parallel databases. Comparison. Conclusion and Future work. Processing . on OpenCL-based FPGAs. Zeke Wang. , Johns Paul, Hui Yan Cheah . (. NTU,. . Singapore), . Bingsheng He (. NUS,. Singapore), . Wei Zhang (HKUST, Hong Kong). 1. Outline. Background and Problem. Processing. Carsten. Binnig, Donald . Kossmann. and Eric Lo. ICDE . 2007. Presented . by . Ankit. Shah . Bikash. Chandra. Motivation. Testing database applications requires generating test . databases. of Full . GC. . in Memory-hungry Environments. Yang Yu. , . Tianyang. Lei, . Weihua. Zhang, . Haibo. Chen, . Binyu. . Zang. Institute of Parallel and Distributed Systems (IPADS). Shanghai Jiao Tong University, China. Database System Implementation CSE 507. Some slides . adapted from . S. ilberschatz. , . Korth. and . Sudarshan. Database System Concepts – 6. th. Edition.. And . Elamsri. and . Navathe. , Fundamentals of Database Systems – 6. CSE 8330. Conventional Query Processing. Statistics generation. Query optimization. Query execution. Unreliable cardinality . e. stimates. Complex queries. Changes in the runtime environment. Query interactivity. on OpenCL-based FPGAs. Zeke Wang. , Johns Paul, Hui Yan Cheah . (. NTU,. . Singapore), . Bingsheng He (. NUS,. Singapore), . Wei Zhang (HKUST, Hong Kong). 1. Outline. Background and Problem. Challenges. Query optimization. :. The process of choosing a suitable execution strategy for processing a query.. Two internal representations of a query:. Query Tree. Query Graph. Introduction to Query Processing (2). Data Management for Big Data. 2018-2019 (. s. pring semester). Dario Della Monica. These slides are a modified version of the slides provided with the book. Özsu. and . Valduriez. , . Principles of . Chapters 12.4-12.6 and 15.2-15.3 of Cow Book. Arun Kumar. CSE 132C. Database System Implementation. Slide ACKs: Jignesh Patel. Query. Query Result. Database Server. Select R.text from . Report R, Weather W. Query Processing. Document-at-a-time. Calculates complete scores for documents by processing all term lists, one document at a time. Term-at-a-time. Accumulates scores for documents by processing term lists one at a time.