tailieunhanh - Principles of Database Management Systems

Principles of Database Management Systems includes Course Overview (Physical data storage, Indexing & Hashing, Query Processing,.); Simplified DBMS structure, Why study DBMS implementation techniques? | Principles of Database Management Systems Based on lecture notes by Hector Garcia-Molina 1 Course Overview Physical data storage Blocks on disks, records in blocks, fields in records Indexing & Hashing B-Trees, hashing, Query Processing Methods to execute SQL queries efficiently Crash Recovery Failures, stable storage, logging policies, . Concurrency Control Correctness, serializability, locks, 2 Simplified DBMS structure Storage manager Query processor Transaction processor Buffers Permanent storage User/ Application Indexes User Data System Data 3 Why study DBMS implementation techniques? Computer scientists’ core knowledge Techniques applicable in implementing DBMS-like systems Understanding of DBMS internals necessary for database administrators NB: This course is not about designing DBbased applications or about using some specific database systems 4 GRADING By Group Assignments To be announced .

• Kỹ thuật lập trình
• Principles of Database Management Systems
• Simplified DBMS structure
• DBMS implementation techniques
• Physical data storage
• Query Processing
• Crash Recovery
• Database systems
• Distributed database systems
• Principles of distributed database systems
• Cơ sở dữ liệu phân tán
• Peer to peer data management
• Peer reference architecture
• Web data management
• Web models
• Data stream management
• Cloud data management
• Access times
• Storage costs
• Using secondary storage
• Disk failures
• Disk Access Time
• Disk Organization
• Lay out data on disk
• Variable format
• Variable format useful
• FIXED VAR format
• Conventional indexes
• Hashing schemes
• Sequential File
• Dense Tradeoff
• Duplicate keys
• Deletion from sparse index
• Rule of thumb
• Extensible hashing
• Linear hashing
• Two alternatives
• Example hash function
• Within a bucket
• Problem of Uncommitted Data
• Recovery with group commit
• Avoiding cascading rollbacks with validation
• Transaction Isolation in Practice
• SQL isolation levels
• Concurrency Control
• Returning to Sc
• Precedence graph P
• Schedule F
• Two phase locking
• Schedule G
• Database  Management Systems
• Transaction  Processing
• dirty data
• cascading rollback
• transactions complete
• Integrity or correctness of data
• Integrity or consistency constraints
• Failure Model
• Context of failure model
• Undesired Unexpected
• Interacting Address Spaces