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teaching:infoh417 [2019/10/11 05:52]
svsummer
teaching:infoh417 [2019/10/24 09:36]
svsummer
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   * A summary of [[:​teaching:​infoh417:​logicalopt-additional|common questions and answers, mistakes and questions regarding the optimization of logical query plans]] is also available.   * A summary of [[:​teaching:​infoh417:​logicalopt-additional|common questions and answers, mistakes and questions regarding the optimization of logical query plans]] is also available.
 +
 +  * The {{:​teaching:​infoh417:​02_-_logicalopt-sol-slides.pdf|solutions}} of the optimization exercises are online.
  
  
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    * We take an intermezzo in the compilation of SQL to logical query plans, and consider how a DBMS physically organizes its data on disk.  ({{:​teaching:​infoh417:​slides-ra1.pdf|slides}}). The details may be found in chapter 13 of the book and constitute the first reading assignment.    * We take an intermezzo in the compilation of SQL to logical query plans, and consider how a DBMS physically organizes its data on disk.  ({{:​teaching:​infoh417:​slides-ra1.pdf|slides}}). The details may be found in chapter 13 of the book and constitute the first reading assignment.
 +
 +==== Lecture 3: Index Structures ​ ====
 +
 +  * During Lecture 3 ({{:​teaching:​infoh417:​slides-lect3-part1.pdf|slides part I}},  {{:​teaching:​infoh417:​slides-lect3-part2.pdf|slides part II}}) we study sparse and dense index structures, and BTrees. The details are found in chapter 14, sections 14.1 and 14.2 in the book.
 +
 +==== Lecture 4: More Index Structures ​ ====
 +
 +  * During Lecture 4 ({{:​teaching:​infoh417:​slides-lect4-part1.pdf|slides part I}}, {{:​teaching:​infoh417:​slides-lect4-part2.pdf|slides part II}}, {{:​teaching:​infoh417:​slides-ch13-indexstruc.odp|slides part II in OpenOffice Impress format}}) we have studied index structures based on hashing. Hash-based indexes are discussed in depth in section 14.3 and 15.7 in the book.
 +  ​
 +  * In addition, we have also introduced data warehouses {{:​teaching:​infoh417:​slides-lect5.pdf|slides}}) and motivated the need for multidimensional index structures. Subsequently,​ we  and have studied various index structures that deal gracefully with multidimensional search keys. See sections 14.4-14.6, pages 661-688 (in the international edition) or pages 649-676 (in the new international edition) of the book.
  
  
 
teaching/infoh417.txt · Last modified: 2020/09/10 08:46 by svsummer