TAILIEUCHUNG - Database System: Chapter 9 - Disk Storage and Indexing Structures for Files

Database System: Chapter 9 - Disk Storage and Indexing Structures for Files presents about Disk Storage Devices (Preferred secondary storage device for high storage capacity and low cost, Data stored as magnetized areas on magnetic disk surfaces,.), Files of Records, Indexing Structures for Files. | Chapter 9 Disk Storage and Indexing Structures for Files Copyright © 2004 Pearson Education, Inc. 5/14/2020 4:10:15 AM Outline Disk Storage Devices Files of Records Indexing Structures for Files Slide 9 - Disk Storage Devices (cont.) Preferred secondary storage device for high storage capacity and low cost. Data stored as magnetized areas on magnetic disk surfaces. A disk pack contains several magnetic disks connected to a rotating spindle. Disks are divided into concentric circular tracks on each disk surface. Track capacities vary typically from 4 to 50 Kbytes. Slide 9 - Disk Storage Devices (cont.) Because a track usually contains a large amount of information, it is divided into smaller blocks or sectors. The division of a track into sectors is hard-coded on the disk surface and cannot be changed. One type of sector organization calls a portion of a track that subtends a fixed angle at the center as a sector. A track is divided into blocks. The block size B is fixed

• Cơ sở dữ liệu
• Database System
• Disk Storage
• Indexing Structures for Files
• Files of Records
• Indexing Structures for Files
• A disk pack
• Variable length records
• Database system concepts
• Lecture Database system concepts
• Database systems
• Database languages
• Database design
• Database system architectures
• Relational database design
• Lecture Database System
• Database system architecture
• File based approach
• Data management systems framework
• Recovery system
• Lecture Database systems
• Database architecture
• Database approach
• Relational databases
• Database design process
• Query optimization
• Transaction state
• Concurrency control
• Data analysis
• Information retrieval
• Parallel databases
• Distributed databases
• Advanced application development
• Advanced data types
• Advanced transaction processing
• Relational model
• Basic query structure
• Dynamic SQL
• Tuple relational calculus
• Entity relationship model
• Application design
• Object­ based databases