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Introduction to Database Systems1 Records and Files Storage Technology: Topic 3.

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Presentation on theme: "Introduction to Database Systems1 Records and Files Storage Technology: Topic 3."— Presentation transcript:

1 Introduction to Database Systems1 Records and Files Storage Technology: Topic 3

2 Introduction to Database Systems2 Record Formats: Fixed Length v Information about field types stored in system catalogs. v Direct access to i’th field. Base address (B) L1L2L3L4 F1F2F3F4 Address = B+L1+L2

3 Introduction to Database Systems3 Record Formats: Variable Length v Two alternative formats (# fields is fixed): * Second offers direct access to i’th field, efficient storage of nulls (special don’t know value); small directory overhead. 4$$$$ Field Count Fields Delimited by Special Symbols F1 F2 F3 F4 Array of Field Offsets

4 Introduction to Database Systems4 Files of Records v Page or block is OK when doing I/O, but higher levels of DBMS operate on records, and files of records. v FILE: a collection of pages, each containing a collection of records. Must support: –insert/delete/modify record –read a particular record (specified using record id ) –scan all records (possibly with some conditions on the records to be retrieved)

5 Introduction to Database Systems5 Page Formats: Fixed Length Records * Record id =. In first alternative, moving records for free space management changes rid; may not be acceptable. Slot 1 Slot 2 Slot N... N M1 0 M PACKED UNPACKED, BITMAP Slot 1 Slot 2 Slot N Free Space Slot M 11 number of records number of slots

6 Introduction to Database Systems6 Page Formats: Variable Length Records * Can move records on page without changing rid; so, attractive for fixed-length records too. Page i Rid = (i,N) Rid = (i,2) Rid = (i,1) Pointer to start of free space SLOT DIRECTORY N

7 Introduction to Database Systems7 Unordered (Heap) Files v Simplest file structure contains records in no particular order. v As file grows and shrinks, disk pages are allocated and de-allocated. v To support record level operations, we must: –keep track of the pages in a file –keep track of free space on pages –keep track of the records on a page v There are many alternatives for keeping track of this.

8 Introduction to Database Systems8 Heap File Implemented as a List v Each page contains 2 `pointers’ plus data. Header Page Data Page Data Page Data Page Data Page Data Page Data Page Pages with Free Space Full Pages

9 Introduction to Database Systems9 Heap File Using a Page Directory v The entry for a page can include the number of free bytes on the page. v The directory is a collection of pages; linked list implementation is just one alternative. Data Page 1 Data Page 2 Data Page N Header Page DIRECTORY

10 Introduction to Database Systems10 Indexes v A Heap file allows us to retrieve records: –by specifying the rid, or –by scanning all records sequentially v Sometimes, we want to retrieve records by specifying the values in one or more fields, e.g., –Find all students in the “CS” department –Find all students with a gpa > 3 v Indexes enable us to answer value-based (associative) queries efficiently.

11 Introduction to Database Systems11 Alternative File Organizations Many alternatives exist, each ideal for some situation, and not so good in others: – Heap files: Suitable when typical access is a file scan retrieving all records. – Sorted Files: Best if records must be retrieved in some order, or only a `range’ of records is needed. – Hashed Files: Good for equality selections. u File is a collection of buckets. Bucket = primary page plus zero or more overflow pages. u Hashing function h : h ( r ) = bucket in which record r belongs. h looks at only some of the fields of r, called the search fields.

12 Introduction to Database Systems12 Cost Model for Analysis Ignore CPU costs, for simplicity: – B: The number of data pages – R: Number of records per page – D: (Average) time to read or write disk page –Measuring number of page I/O’s ignores gains of sequential I/O; thus, even I/O cost is only approximated. –Average-case analysis; based on several simplistic assumptions. * Good enough to show the overall trends!

13 Introduction to Database Systems13 Cost of Operations * Several assumptions underlie these (rough) estimates!

14 Introduction to Database Systems14 Assumptions v Single record insert and delete. v Heap Files: –Equality selection on key; exactly one match. –Insert always at end of file. v Sorted Files: –Files compacted after deletions. –Selections on sort field(s). v Hashed Files: –No overflow buckets, 80% page occupancy.

15 Introduction to Database Systems15 Summary v Variable length record format with field offset directory offers support for direct access to i’th field and null values. v Slotted page format supports variable length records and allows records to move on page. v File layer keeps track of pages in a file, and supports abstraction of a collection of records. –Linked list or directory data structure –Sorted and hashed files for query processing

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