Big Data Lab notes 02/19/14

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Today, we will work on SQL queries.

Before the class, please download mySQL from from There are many different versions, select MySQL Community Server.

Installing and starting mySQL

mySQL has an extensive documentation, including installation instructions for different OSes, for example, MacOS: and for Windows:

I run mySQL on MacOS, so here's what I did after I installed the system to 'start' the database:

    shell> cd /usr/local/mysql
    shell> sudo ./bin/mysqld_safe
    shell> bg

You can also use the shortcut command: mysqlup

To connect to the MySQL server, on a terminal, invoke `/usr/local/mysql/bin/mysql.

You can add aliases to your shell's resource file to make it easier to access commonly used programs such as `mysql' and `mysqladmin' from the command line. I have added the following 2 lines to my .bashrc:

    alias mysql=/usr/local/mysql/bin/mysql
    alias mysqladmin=/usr/local/mysql/bin/mysqladmin

You can also modified my PATH environment variable to include /usr/local/mysql/bin:

export PATH=$PATH:./:/usr/local/mysql/bin:/usr/local/mysql/bin:/usr/local/hadoop-1.2.1/bin:/usr/local/pig-0.12.0/bin

Our running example

We will work with three tables. Here are the table definitions:

   create table Sailors(
       sid int PRIMARY KEY,
       sname varchar(30),
       rating int,
       age int

   create table Reserves(
       sid int,
       bid int,

day date, PRIMARY KEY (sid, bid, day)


   create table Boats(
       bid int PRIMARY KEY,

bname char(20), color char(10)


You can download the sample file with these statements as well as some sample data from

SQL Cheat Sheet