'Search key' diaporamas de présentation

Data Organization - B-trees

1.21k views • 87 slides

Chapter 14: Indexing

Chapter 14: Indexing. Outline. Basic Concepts Ordered Indices B + -Tree Index Files B-Tree Index Files Hashing Write-optimized indices Spatio -Temporal Indexing. Basic Concepts. Indexing mechanisms used to speed up access to desired data. E.g., author catalog in library

983 views • 79 slides

Lecture #10

Lecture #10. Hash Tables. Objectives. Understand the basic structure of a hash table and its associated hash function Understand what makes a good (and a bad) hash function Understand how to deal with collisions Open addressing Separate chaining Be able to implement a hash table.

699 views • 52 slides

Relational Query Optimization

Relational Query Optimization. Yanlei Diao UMass Amherst March 8 and 13, 2007. Slide Content Courtesy of R. Ramakrishnan, J. Gehrke, and J. Hellerstein. Overview of Query Evaluation.

604 views • 50 slides

OS Support / Indexing

OS Support / Indexing. Lecture 3. Query Execution. Query or update. User/ Application. Query compiler. Query execution plan. Execution engine. Record, index requests. Index/record mgr. Page commands. Buffer manager. Read/write pages. Storage manager.

634 views • 50 slides

Overview of Storage and Indexing

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Data Structures and Algorithm: SEARCHING TECHNIQUES

Data Structures and Algorithm: SEARCHING TECHNIQUES. Objectives. At the end of the class, students are expected to be able to do the following: Understand the searching technique concept and the purpose of searching operation. Understand the implementation of basic searching algorithm;

2.79k views • 40 slides

Bitmap Indexing

861 views • 36 slides

Hashing

Hashing. Reference: Chapters: 11,12. Motivation. The primary goal is to locate the desired record in a single access of disk. Sequential search: O(N) B+ trees: O(log k N) Hashing: O(1) In hashing, the key of a record is transformed into an address and the record is stored at that address.

433 views • 27 slides

Hash Tables and Constant Access Time

Hash Tables and Constant Access Time. CS-2303 System Programming Concepts (Slides include materials from The C Programming Language , 2 nd edition, by Kernighan and Ritchie and from C: How to Program , 5 th and 6 th editions, by Deitel and Deitel). New Challenge.

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PART III

PART III. STORAGE AND INDEXING CH. 8: OVERVIEW OF STORAGE AND INDEXING (introduction) CH. 9: STORING DATA: DISKS AND FILES (hardware) CH. 10: TREE-STRUCTURED INDEXING CH. 11: HASH-BASED INDEXING (two important types of indexing). APPROACH. NO FORMAL UNIFIED THEORY.

493 views • 21 slides

INTRODUCTION TO SQL

INTRODUCTION TO SQL. WHAT IS SQL?. SQL stands for Structured Query Language. SQL lets you access and manipulate databases. SQL is an ANSI (American National Standards Institute) standard.

377 views • 18 slides

B + -Tree Index Files

B + -Tree Index Files. Takahiko Saito. Introduction. The most widely used of several index structures that maintain efficiency despite insertion and deletion Takes the form of a balanced tree in which every path from the root of the tree to a leaf of the tree is of the same length.

306 views • 17 slides

Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7

Skeleton Extraction of 3D Objects by Radial Basis Functions for Content-based Retrieval in MPEG-7. Ming Ouhyoung Fu-Che Wu, Wan-Chun Ma, Communication and Multimedia Lab Dept. of Computer Science and Information Engineering, National Taiwan University. Previous Collaboration: MPEG-4 Based.

423 views • 16 slides

Getting Started

Getting Started. With GCSEpod you can access GCSE curriculum audio for the subjects you're studying. Y ou'll find GCSEpod learning+revision audio as easy to download as songs from iTunes . Use the short, easy-to-handle, bite-size segments all through the year, not just at revision time. .

269 views • 13 slides

Tutorial 19

Tutorial 19. Dina Said. Indexing Data. 1. A data entry k* is an actual data record (with search key value k 2. A data entry is a (k, rid) pair, where rid is the record id of a data record with search key value k .

253 views • 13 slides

15.6 Index Based Algorithms

15.6 Index Based Algorithms. Akshay Reddy Chada CS 257. Contents. Clustering and non-clustering indexes Index based Selection Joining using an index Joining using a sorted index. Algorithms are useful for the selection operator.

231 views • 11 slides

15.6 Index Based Algorithms

15.6 Index Based Algorithms. Akshay Reddy Chada CS 257. Contents. Clustering and non-clustering indexes Index based Selection Joining using an index Joining using a sorted index. Algorithms are useful for the selection operator.

179 views • 11 slides

Other interesting issues:

Other interesting issues:. Compression within record - e.g. code selection collection of records - e.g. find common patterns Encryption. Encrypting Records. new record r. E(r). trusted processor. dbms. E(r 1 ) E(r 2 ) E(r 3 ) E(r 4 ). Encrypting Records. search F(r)=x. ??.

230 views • 10 slides

Clustered vs. Unclustered Index

Clustered vs. Unclustered Index. Index entries. UNCLUSTERED. CLUSTERED. direct search for . data entries. Data entries. Data entries. (Index File). (Data file). Data Records. Data Records. B+ Tree Indexes. Non-leaf. Pages. Leaf. Pages (Sorted by search key).

677 views • 9 slides