TAILIEUCHUNG - Database Systems: The Complete Book- P7

Database Systems: The Complete Book- P7: Database Systems and Database Design and Application courses offered at the junior, senior and graduate levels in Computer Science departments. Written by well-known computer scientists, this introduction to database systems offers a comprehensive approach, focusing on database design, database use, and implementation of database applications and database management systems | 580 CHAPTER 12. REPRESENTING DATA ELEMENTS Figure A map table translates logical to physical addresses to reserve some bytes to represent the host others to represent the storage unit and so on a rational address notation would use considerably more than 10 bytes for a system of this scale. Logical and Structured Addresses One might wonder what the purpose of logical addresses could be. All the information needed for a physical address is found in the map table and following logical pointers to records requires consulting the map table and then going to the physical address. However the level of indirection involved in the map table allows us considerable flexibility. For example many data organizations require us to move records around either within a block or from block to block. If we use a map table then all pointers to the record refer to this map table and all we have to do when we move or delete the record is to change the entry for that record in the table. Many combinations of logical and physical addresses are possible as well yielding structured address schemes. For instance one could use a physical address for the block but not the offset within the block and add the key value for the record being referred to. Then to find a record given this structured address we use the physical part to reach the block containing that record and we examine the records of the block to find the one with the proper key. Of course to survey the records of the block we need enough information to locate them. The simplest case is when the records are of a known fixed-length type with the key field at a known offset. Then we only have to find in the block header a count of how many records are in the block and we know exactly where to find the key fields that might match the key that is part of the address. However there are many other ways that blocks might be organized so that we could survey the records of the block we shall cover others shortly. A similar and

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