CS 564: DATABASE MANAGEMENT SYSTEMS
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1 Fall 2013 CS 564: DATABASE MANAGEMENT SYSTEMS 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 1
2 Teaching Staff Instructor: Jignesh Patel, Office Hours: Mon, Wed 1:30-2:30 AM, CS 4357 Class: MW 2:30-3:45 and F 2:30-3:20 [Need to a=end all three sessions each week!] Sangmin Shin, [email protected], OH: TBD 2 nd TA: TBD Web Page: hop://pages.cs.wisc.edu/~jignesh/cs564/ 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 2
3 Exams: 60% Course Outline Mid- term on October 21 (in class): 20% Final exam on December 21 (cumulayve): 35% Two in- class quizzes: 5% total Projects: 40% T e n t a t i v e C++ assignment (out now): 5% Two BadgerDB Assignments: 23% Buffer Manager: 10% B+- tree: 13% Two SQL Assignments: 12% All assignments are individual assignments. Assignments are in C++ No late days 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 3
4 Course Contents Database management systems under the hood perspecyve Algorithms, data structures, storage organizayon, that make data management systems work How to use a database system A smaller focus of this course Textbook: Database Management Systems, by Raghu Ramakrishnan and Johannes Gehrke 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 4
5 Database Management System (DBMS) A DBMS manages a database. A database is a collecyon of data, usually with some descripyon of the structure of the data. Structure descripyon, if present, is described using a schema. e.g. the CREATE TABLE command in SQL DBMS Data Storage Describe and query the data 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 5
6 Data Storage Management Store and retrieve data in an efficient way Organize data in blocks called pages on disk Index data for efficient retrieval Make efficient use of memory hierarchy Cache frequently used data in a main memory buffer pool Safely allow concurrent access to the data Make sure updates are commioed i.e. provide transactional semantics 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 6
7 Describe and Query the Data Describe the data Query the data Data model is the abstracyon to describe the data A schema describes a specific database using the language of the data model E.g. In the relayonal data model the CREATE TABLE command is used to express the schema of a table Provide a high- level language to allow a user to pose queries easily DeclaraYve languages are preferred, e.g. SQL Need query processing algorithms to evaluate the query and techniques to opomize the query 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 7
8 Data Management Systems: Three Common Types 1. RelaYonal Database Management Systems: RDBMS e.g. PostgreSQL, Sqlite3, MySQL, Oracle, SQL Server Store data as tuples in tables. Query using SQL. 2. Key- value (KV) stores e.g. BigTable, Hbase, Dynamo, Cassandra, Store data as key, value pairs. Retrieve data based on keys. 3. MapReduce (MR) Works on top of a key- value distributed file system (DFS). Invented by Google to run data processing on large clusters. Open- source version is called Hadoop. A new trend is to put a SQL interface on top of MR. e.g. Hive 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 8
9 RDBMS Section 1: Creating schemas in SQL, i.e. SQL DDL Create a table to store student information CREATE TABLE Students ( name VARCHAR(80), bday DATE, hobbies VARCHAR(100), uwid INTEGER, PRIMARY KEY (uwid) -- Do not allow two tuples with the same uwid ); -- Add sample tuples to the Student table INSERT INTO Students VALUES ('Jane Doe', ' ', 'sailing', 111); INSERT INTO Students VALUES ('Joe Smith', ' ', 'dancing', 222); INSERT INTO Students VALUES ('Goof Ball', ' ', 'watching TV', 333); Section 2: Querying in SQL -- i.e. SQL DML SELECT * FROM Students WHERE bday > ' ' AND hobbies <> 'watching TV'; 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 9
10 Key- value store example: MongoDB 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 10
11 MR System: example Hive CREATE TABLE page_views ( viewtime INT, userid BIGINT, page_url STRING, referrer_url STRING, ip STRING COMMENT 'IP Address of the User') COMMENT 'This is the page view table' PARTITIONED BY(dt STRING, country STRING) STORED AS SEQUENCEFILE; The following Hive query finds all page_views in the month of 03/2013 referred from domain xyz.com: SELECT page_views.* FROM page_views WHERE page_views.date >= ' ' AND page_views.date <= ' ' AND page_views.referrer_url like '%xyz.com'; 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 11
12 Common Requirement Across All Data Management Systems Data Storage Describe and query the data 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 12
13 Quick note on MapReduce (I pulled a quick one a few slides ago ) SQL- like interfaces (e.g. Hive) are increasingly being used for structured data processing but you can also put unstructured data in MR, e.g. web pages... and do complex processing directly on the data, e.g. run a machine learning module to find correlayon paoerns in the data For this course, we will only focus on structured data processing 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 13
14 Data Mining Data Management Systems Data Cleaning VisualizaYon 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 14
15 Assignment 1: Word count in C++ Do not take this class if you can t make the Friday meeyngs Assignment 1 is now posted C++ warm up: Due 2/1 No late days Discussions lead by your TA Must aoend discussion sessions on Friday: Primary venue for project discussions Friday meeyng usually used for the discussion, but will be used occasionally for regular lecture 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 15
16 A note about using Don t use as the primary mechanism of communicayon. AOend the lectures, discussion, and use the OH. Project QuesYons to the TAs. This first assignment is run by Sangmin When you send an , please start the subject line with [CS564 Fall 2013]: actual topic 9/4/13 CS 564: Database Management Systems, Jignesh M. Patel 16
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