CENG 351 Introduction to Data Management and File Structures

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Approach, Prentice Hall, 1988. 2. Raghu Ramakrishnan, Database Management. Systems (3rd. ed.), McGraw Hill, 2003. 3. Michael J. Folk, Bill Zoellick and Greg.
CENG 351 Introduction to Data Management and File Structures Nihan Kesim Çiçekli Department of Computer Engineering METU

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CENG 351-Section 2 • • • •

Instructor: Nihan Kesim Çiçekli Office: A308 Email: [email protected] Lecture Hours: Tue. 9:40; Thu. 13:40,14:40 (BMB3)

• Course Web page: http://cow.ceng.metu.edu.tr • Teaching Assistants: Ömer Nebil Yaveroğlu Nilgün Dağ

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References 1. Betty Salzberg, File Structures: An Analytic Approach, Prentice Hall, 1988. 2. Raghu Ramakrishnan, Database Management Systems (3rd. ed.), McGraw Hill, 2003. 3. Michael J. Folk, Bill Zoellick and Greg Riccardi, File Structures, An object oriented approach with C++, Addison-Wesley, 1998. 4. R. Elmasri, S.B. Navathe, Fundamentals of Database Systems, 4th edition, Addison-Wesley, 2004. CENG 351

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Course Outline 1. Introduction: Secondary storage devices 2. Fundamental File Structure Concepts: Sequential Files 3. External Sorting 4. Indexed Sequential Files (B-trees) 5. Direct access (Hashing) 6. Introduction to Database Systems: E/R modeling, relational model, 7. Query languages: Relational algebra, relational calculus, SQL 8. Query Evaluation CENG 351

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Grading 3 written HW, 3 programming assignments Midterm Exam 1 Midterm Exam 2 Final Exam

30% 20% 20% 30%

Tentative Exam Dates: Midterm Exam 1: Nov. 10, 2009 Midterm Exam 2: Dec. 22, 2009 CENG 351

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Grading Policies • Policy on missed midterm: – no make-up exam

• Lateness policy: – Late assignments are penalized up to 10% per day.

• All assignments and programs are to be your own work. No group projects or assignments are allowed.

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Introduction to File management

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Motivation  Most computers are used for data processing (over $100 billion/year). A big growth area in the “information age”  This course covers data processing from a computer science perspective: – – – –

Storage of data Organization of data Access to data Processing of data CENG 351

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Data Structures vs File Structures • Both involve: – Representation of Data + – Operations for accessing data

• Difference: – Data structures: deal with data in main memory – File structures: deal with data in secondary storage CENG 351

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Where do File Structures fit in Computer Science? Application

DBMS File system Operating System

Hardware CENG 351

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Computer Architecture data is manipulated here

Main Memory (RAM)

- Semiconductors - Fast, expensive, volatile, small

data transfer data is stored here

- disks, tape Secondary Storage

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- Slow,cheap, stable, large

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Advantages • • •

Main memory is fast Secondary storage is big (because it is cheap) Secondary storage is stable (non-volatile) i.e. data is not lost during power failures

Disadvantages • • •

Main memory is small. Many databases are too large to fit in main memory (MM). Main memory is volatile, i.e. data is lost during power failures. Secondary storage is slow (10,000 times slower than MM) CENG 351

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How fast is main memory? • Typical time for getting info from: Main memory: ~12 nanosec = 120 x 10-9 sec Magnetic disks: ~30 milisec = 30 x 10-3 sec

• An analogy keeping same time proportion as above: Looking at the index of a book : 20 sec versus Going to the library: 58 days CENG 351

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Normal Arrangement • • • •

Secondary storage (SS) provides reliable, longterm storage for large volumes of data At any given time, we are usually interested in only a small portion of the data This data is loaded temporarily into main memory, where it can be rapidly manipulated and processed. As our interests shift, data is transferred automatically between MM and SS, so the data we are focused on is always in MM. CENG 351

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Goal of the file structures • Minimize the number of trips to the disk in order to get desired information • Grouping related information so that we are likely to get everything we need with only one trip to the disk.

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Physical Files and Logical Files • physical file: a collection of bytes stored on a disk or tape • logical file: a "channel" (like a telephone line) that connects the program to a physical file • The program (application) sends (or receives) bytes to (from) a file through the logical file. The program knows nothing about where the bytes go (came from). • The operating system is responsible for associating a logical file in a program to a physical file in disk or tape. Writing to or reading from a file in a program is done through the operating system. CENG 351

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Files • The physical file has a name, for instance myfile.txt • The logical file has a logical name (a varibale) inside the program. – In C : FILE * outfile;

– In C++: fstream outfile; CENG 351

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Basic File Processing Operations • • • • •

Opening Closing Reading Writing Seeking

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File Systems • Data is not scattered hither and thither on disk. • Instead, it is organized into files. • Files are organized into records. • Records are organized into fields.

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Example • A student file may be a collection of student records, one record for each student • Each student record may have several fields, such as – – – – – –

Name Address Student number Gender Age GPA

• Typically, each record in a file has the same fields. CENG 351

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Properties of Files •





Persistance: Data written into a file persists after the program stops, so the data can be used later. Sharability: Data stored in files can be shared by many programs and users simultaneously. Size: Data files can be very large. Typically, they cannot fit into main memory. CENG 351

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