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[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data on External Storage ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Alternative File Organizations ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Index Classification ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Clustered vs. Unclustered Index ,[object Object],[object Object],[object Object],Index entries Data entries direct search for  (Index File) (Data file) Data Records data entries Data entries Data Records CLUSTERED UNCLUSTERED
Indexes ,[object Object],[object Object],[object Object],[object Object],[object Object]
B+ Tree Indexes ,[object Object],[object Object],P 0 K 1 P 1 K 2 P 2 K m P m index entry Non-leaf Pages Pages  (Sorted by search key) Leaf
Example B+ Tree ,[object Object],[object Object],[object Object],2* 3* Root 17 30 14* 16* 33* 34* 38* 39* 13 5 7* 5* 8* 22* 24* 27 27* 29* Entries <=  17 Entries >  17 Note how data entries in leaf level are sorted
Hash-Based Indexes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Alternatives for Data Entry  k*   in Index ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Alternatives for Data Entries (Contd.) ,[object Object],[object Object],[object Object],[object Object]
Alternatives for Data Entries (Contd.) ,[object Object],[object Object],[object Object]
Cost Model for Our Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Comparing File Organizations ,[object Object],[object Object],[object Object],[object Object],[object Object]
Operations to Compare ,[object Object],[object Object],[object Object],[object Object],[object Object]
Assumptions in Our Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Assumptions (contd.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Cost of Operations
Understanding the Workload ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Choice of Indexes ,[object Object],[object Object],[object Object],[object Object]
Choice of Indexes (Contd.) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Index Selection Guidelines ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Examples of Clustered Indexes ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],SELECT   E.dno FROM   Emp E WHERE   E.age>40 SELECT   E.dno,  COUNT  (*) FROM   Emp E WHERE   E.age>10 GROUP BY  E.dno SELECT   E.dno FROM   Emp E WHERE   E.hobby=Stamps
Indexes with Composite Search Keys  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],sue 13 75 bob cal joe 12 10 20 80 11 12 name age sal <sal, age> <age, sal> <age> <sal> 12,20 12,10 11,80 13,75 20,12 10,12 75,13 80,11 11 12 12 13 10 20 75 80 Data records sorted by  name Data entries in index sorted by  <sal,age> Data entries sorted by  <sal> Examples of composite key indexes using lexicographic order.
Composite Search Keys ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Index-Only Plans ,[object Object],SELECT   E.dno,  COUNT (*) FROM   Emp E GROUP BY  E.dno SELECT   E.dno,  MIN (E.sal) FROM   Emp E GROUP BY  E.dno SELECT   AVG (E.sal) FROM   Emp E WHERE  E.age=25  AND E.sal  BETWEEN  3000  AND  5000 < E.dno > < E.dno,E.sal > Tree index! < E. age,E.sal > or < E.sal, E.age > Tree index!
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object]
Summary (Contd.) ,[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Range Searches ,[object Object],[object Object],[object Object],[object Object],Page 1 Page 2 Page N Page 3 Data File k2 kN k1 Index File
ISAM ,[object Object],P 0 K 1 P 1 K 2 P 2 K m P m index entry Non-leaf Pages Pages Primary pages Leaf Overflow  page
Comments on ISAM ,[object Object],[object Object],[object Object],[object Object],[object Object],Data Pages Index Pages Overflow pages
Example ISAM Tree ,[object Object],10* 15* 20* 27* 33* 37* 40* 46* 51* 55* 63* 97* 20 33 51 63 40 Root
After Inserting 23*, 48*, 41*, 42* ... 10* 15* 20* 27* 33* 37* 40* 46* 51* 55* 63* 97* 20 33 51 63 40 Root 23* 48* 41* 42* Overflow Pages Leaf Index Pages Pages Primary
... Then Deleting 42*, 51*, 97* 10* 15* 20* 27* 33* 37* 40* 46* 55* 63* 20 33 51 63 40 Root 23* 48* 41*
B+ Tree: Most Widely Used Index ,[object Object],[object Object],[object Object],Index Entries Data Entries (&quot;Sequence set&quot;) (Direct search)
Example B+ Tree ,[object Object],[object Object],Root 17 24 30 2* 3* 5* 7* 14* 16* 19* 20* 22* 24* 27* 29* 33* 34* 38* 39* 13
B+ Trees in Practice ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Inserting a Data Entry into a B+ Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Inserting 8* into Example B+ Tree ,[object Object],[object Object],2* 3* 5* 7* 8* 5 Entry to be inserted in parent node. (Note that 5 is continues to appear in the leaf.) s copied up and appears once in the index. Contrast 5 24 30 17 13 Entry to be inserted in parent node. (Note that 17 is pushed up and only this with a leaf split.)
Example B+ Tree After Inserting 8* ,[object Object],[object Object],2* 3* Root 17 24 30 14* 16* 19* 20* 22* 24* 27* 29* 33* 34* 38* 39* 13 5 7* 5* 8*
Deleting a Data Entry from a B+ Tree ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Example Tree After (Inserting 8*, Then) Deleting 19* and 20* ... ,[object Object],[object Object],2* 3* Root 17 30 14* 16* 33* 34* 38* 39* 13 5 7* 5* 8* 22* 24* 27 27* 29*
... And Then Deleting 24* ,[object Object],[object Object],30 22* 27* 29* 33* 34* 38* 39* 2* 3* 7* 14* 16* 22* 27* 29* 33* 34* 38* 39* 5* 8* Root 30 13 5 17

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  • 35. After Inserting 23*, 48*, 41*, 42* ... 10* 15* 20* 27* 33* 37* 40* 46* 51* 55* 63* 97* 20 33 51 63 40 Root 23* 48* 41* 42* Overflow Pages Leaf Index Pages Pages Primary
  • 36. ... Then Deleting 42*, 51*, 97* 10* 15* 20* 27* 33* 37* 40* 46* 55* 63* 20 33 51 63 40 Root 23* 48* 41*
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