You should have created a Google Cloud account, created a project, created and instance, created a database in that instance called 'admin', installed MySQL Workbench and made a connection to that database. In this lesson we will practice querying data.

Start by opening MySQL Workbench

In this repo you'll see another file called initialize.sql. This file contains SQL scripts to create a table called users and populate it with data. Follow these instructions to run the script in MySQL Workbench so that you populate data in your GoogleCloud Database!!

• In MySQL Workbench, make sure you've selected the "admin" database as your default schema (as per the name of the DB you created following the textbook.)

• Create a new query tab

  • Click the button on the top left that has a SQL file with a "plus" icon on it

• Click the folder icon in your query tab to open a new file

• Search for "311_wk3_day1_db_select" in your file explorer/finder window and select the "initialize.sql" script that lives in this repo

• When you do you'll see the scripts from this 'initialize.sql' file populate in your MySQL Workbench!!!!

• Click the lightning bolt icon to run the query

• If you get an error: 1046: Error Code: 1046. No database selected Select the default DB to be used by double-clicking its name in the SCHEMAS list in the sidebar. Select your 'admin' schema as your default so MySQL workbench knows what connection to use.

• If you refresh your schemas you should see a "users" table

We are going to run a couple SQL queries. As you do, copy/paste the query as the answers to the following questions.

Also, put the answers in the "Query Responses" section of this README.

NOTE: The query instructions are intentionally written in plain english. It's up to you to translate that into a SELECT statement.

1. Select all fields from users where the city equals Chicago

2. Select the "state" field for users with a first name of "Glory"

3. Select all fields from users whose phone1 starts with "773"

1. SELECT * FROM users WHERE city = "Chicago";

• How many rows were returned: 7
• First name of the first user: Mitsue

SELECT state FROM users WHERE first_name = "Glory";

• How many rows were returned:2
• What states do they live in: MD, TX

SELECT * FROM users WHERE phone1 LIKE "773%";

• How many rows were returned: 6
• What's the last email on the list: [email protected]

Think about how this data is laid out. Feel free to look in the initialize.sql file to see the raw data.

• Do you think it would be easier or harder to search through this data manually or using SQL? It would be easier using SQL because using simple queries we can access the data by the criteria we are looking for

• What about when the dataset gets larger? When the dataset gets larger it would be even easier because looking at all that data jumbled up onto one line for 10,000 lines would get difficult. If you need to find everyone who lives in TX you would have to look at each individual line and look for the letter "TX" instead of it being sorted in a "state" column