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Why Concerning Storage and Indexing?

Why Concerning Storage and Indexing?

Part III: Storage and Indexing (Chapters 8-11) Part V: Transctions, Concurrency control, Scheduling, and Recovery (Chapters 16-18). Why Concerning Storage and Indexing?. Performance: another major factor in user satisfaction Depends on Efficient data structures for data representation

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653 views • 53 slides
B-trees - Hashing

B-trees - Hashing

B-trees - Hashing. Review: B-trees and B+-trees. Multilevel, disk-aware, balanced index methods primary or secondary dense or sparse supports selection and range queries B+-trees: most common indexing structure in databases all actual values stored on leaf-nodes. Optimality:

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632 views • 49 slides
Advanced Data Structures NTUA Spring 2007 B+-trees and External memory Hashing

Advanced Data Structures NTUA Spring 2007 B+-trees and External memory Hashing

Advanced Data Structures NTUA Spring 2007 B+-trees and External memory Hashing. Model of Computation. Data stored on disk(s) Minimum transfer unit: a page(or block) = b bytes or B records N records -> N/B = n pages I/O complexity: in number of pages. CPU. Memory. Disk.

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593 views • 47 slides
Hash-Based Indexes

Hash-Based Indexes

Hash-Based Indexes. Static Hash indexes Dynamic Hash indexes Extendible, Linear indexes. Static Hashing. A bucket is a unit of storage containing one or more records (a bucket is typically a disk block).

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785 views • 45 slides
B-Trees, Part 2 Hash-Based Indexes

B-Trees, Part 2 Hash-Based Indexes

B-Trees, Part 2 Hash-Based Indexes. R&G Chapter 10 Lecture 10. Administrivia. The new Homework 3 now available Due 1 week from Sunday Homework 4 available the week after Midterm exams available here. Review. Last time discussed File Organization Unordered heap files Sorted Files

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433 views • 38 slides
B-Trees, Part 2 Hash-Based Indexes

B-Trees, Part 2 Hash-Based Indexes

B-Trees, Part 2 Hash-Based Indexes. R&G Chapter 10 Lecture 10. Administrivia. The new Homework 3 now available Due 1 week from Sunday Homework 4 available the week after Midterm exams available here. Review. Last time discussed File Organization Unordered heap files Sorted Files

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459 views • 38 slides
Segmentation, Targeting, and Positioning

Segmentation, Targeting, and Positioning

Segmentation, Targeting, and Positioning. Global Marketing Chapter 7. Introduction. How to identify like groups of potential customers? How to chose the groups to target? How to segment those groups? How to position the brand in the mind of the customer?.

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686 views • 37 slides
6. Files of (horizontal) Records

6. Files of (horizontal) Records

Section 6 # 1. 6. Files of (horizontal) Records. The concepts of pages or blocks suffices when doing I/O, but the higher layers of a DBMS operate on records and files of records FILE : A collection of pages, each containing a collection of records, which supports:

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373 views • 28 slides
6. Files of (horizontal) Records

6. Files of (horizontal) Records

6. Files of (horizontal) Records. The concepts of pages or blocks suffices when doing I/O, but the higher layers of a DBMS operate on records and files of records FILE : A collection of pages, each containing a collection of records. Must support: insert/delete/modify record

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451 views • 27 slides
CS 405G: Introduction to Database Systems

CS 405G: Introduction to Database Systems

CS 405G: Introduction to Database Systems. 23 Hashing Chen Qian University of Kentucky. B+-tree Organization. Internal node. Leaf node. Review. B + -tree Insert Find correct leaf L. Put data entry onto L . If L has enough space, done !

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390 views • 26 slides
Hash-based Indexes

Hash-based Indexes

Hash-based Indexes. CS 186, Spring 2006 Lecture 7 R &G Chapter 11. HASH, x. There is no definition for this word -- nobody knows what hash is. Ambrose Bierce, "The Devil's Dictionary", 1911. Introduction. As for any index, 3 alternatives for data entries k* :

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420 views • 25 slides
Hash-based Indexes

Hash-based Indexes

Hash-based Indexes. CS 186, Spring 2006 Lecture 7 R &G Chapter 11. HASH, x. There is no definition for this word -- nobody knows what hash is. Ambrose Bierce, "The Devil's Dictionary", 1911. Introduction. As for any index, 3 alternatives for data entries k* :

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356 views • 25 slides
Hashing

Hashing

Hashing. B+ Tree: The Most Widely Used Index. Insert/delete at log F N cost; keep tree height-balanced . (F = fanout, N = # leaf pages) Minimum 50% occupancy (except for root). Each node contains

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308 views • 23 slides
Hash-Based Indexes

Hash-Based Indexes

Hash-Based Indexes. Chapter 11. Introduction. Hash-based indexes are best for equality selections . Cannot support range searches. A good hash function is: Random Uniform Static and dynamic hashing techniques exist; trade-offs similar to ISAM vs. B+ trees. Static Hashing.

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353 views • 22 slides
Hash-Based Indexes

Hash-Based Indexes

Hash-Based Indexes. Comments. Comments on the exam? $1 for anyone who solved the puzzle. Rope Puzzle?. Who checked out Bill Gates speech?. Introduction. As for any index, 3 alternatives for data entries k* : Data record with key value k

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273 views • 21 slides
Instructor: Chen Li

Instructor: Chen Li

CS 222P: Principles of Data Management Notes # 8 Static Hashing, Extendible Hashing ? Linear Hashing. Instructor: Chen Li. Introduction. Hash -based indexes are best for equality selections . Cannot support range searches.

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508 views • 20 slides
Hash-Based Indexes

Hash-Based Indexes

Hash-Based Indexes. Chapter 11. Introduction. As for any index, 3 alternatives for data entries k* : Data record with key value k < k , rid of data record with search key value k > < k , list of rids of data records with search key k > Choice orthogonal to the indexing technique

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289 views • 19 slides
Hash-Based Indexes

Hash-Based Indexes

Hash-Based Indexes. Chapter 11. Introduction. As for any index, 3 alternatives for data entries k* : Data record with key value k < k , rid of data record with search key value k > < k , list of rids of data records with search key k > Choice orthogonal to the indexing technique

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262 views • 19 slides
Static Hashing (using overflow for collision managment

Static Hashing (using overflow for collision managment

. Overflow pages(as separate link list). Overflow pages(as Single link list). Static Hashing (using overflow for collision managment. Overflow pages are allocated if needed (as a separate link list for each bucket. Only Page#s are needed for pointers). or a shared link list.

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409 views • 18 slides
Index tuning

Index tuning

Index tuning. Hash Index. overview. Introduction. Hash-based indexes are best for equality selections . Can efficiently support index nested joins Cannot support range searches. Static and dynamic hashing techniques exist; trade-offs similar to ISAM vs. B+ trees. Static Hashing.

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187 views • 18 slides

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