If you work regularly with MySQL, Mongo DB, AWS RDS, or DynamoDB, then you might find Navicat Premium useful. Navicat Premium helps you create views, queries and functions using an easy-to-use UIX. Even better, you can save your work into the cloud for reuse.

Here's a snapshot of the Navicat UIX. If you look to the left, you'll notice that there are views, queries, and functions.

Below are a few of my favorite examples of views, queries and functions.

Navicat - Views

Get Unique Data from a Single Column

Suppose you have a database filled with thousands of rows and one of the columns is titled Cities. You're interested in knowing how many unique cities are within the thousands of observations.

# Create a view that will only show unique values from within a single column. 
SELECT DISTINCT `column name` FROM `table name` 

Navicat - Queries

Modify a Column Name

Suppose you just want to change the name of a column, here's how to run that function.

ALTER TABLE MyTable CHANGE COLUMN `Full Name` to `Name`;


Split Full Name into Fname and Lname

Suppose you have a column titled Full Name and you want to split the information into two columns Fname and Lname. Here's how

	# Drop the columns
	# Create the new columns
	ADD COLUMN `fname` VARCHAR(30) AFTER `Full Name`,
	ADD COLUMN `lname` VARCHAR(30) AFTER `fname`;

UPDATE emails
	# Trim the white space
	`Full Name` = LTRIM(RTRIM(`Full Name`)),
	# Get the first name and copy it to a new column
	`fname` = SUBSTRING_INDEX(`Full Name`, ' ', 1),
	# Get the second name and copy it to a new column
	`lname` = SUBSTRING_INDEX(`Full Name`, ' ', -1)


Navicat - Functions

Working with Money

Suppose you're researching apartment rental data and you get a CSV file that contains $ and , symbols inside the column with numerical data.


Before you can run any calculations, you'll first need to do a few things such as:
1. Remove the $ and , from the Rent column.
2. Convert the Rent into an Integer.
3. Assign the newly created Integers into a new column called Money.
4. Run a function (such as AVG() to calculate an average.
5. Assign the results from AVG() to a new column called Avg Rent.

SQL Statement

CREATE DEFINER=`root`@`localhost` PROCEDURE `get high and low rent`( )
    # a. Use the two columns from the database
	SELECT `Rent`, `# of Bedrooms`,
      # b. Strip '$' and ','
      # c. Convert `Rent` amount into an Integer
      # d. Assign the number to a variable named @money
      # e. Cast the variable as a column titled `Money`
	  @money := CONVERT( REPLACE( SUBSTRING_INDEX(`Rent`,'$', -1), ',', ''), UNSIGNED INTEGER ) AS Money,
      # f. Now that @money is an Integer, calculate an average of all rows
	 	AVG(@money) AS `Avg Rent`
      # g. Run all of these operations on the database titled `MyAptData`
	FROM `MyAptData`
      # h. (optional)
	GROUP BY `# of Bedrooms`;


SQL Result

Here's what it will look like in Navicat.