I've been taking some refresher courses on SQL for an upcoming job through Codecademy (I highly recommend it if you want to learn to code - one of the best platforms I've ever used). As I was learning it, I thought it would be handy to create a cheat sheet with the most-used basic SQL command-lines, for a quick learning-session or refresher, for me and for you.
CREATE TABLE
Create a new table in the database with column name and column data type specified.
Below, we've created a table with the name catalogue
with brand_name
as the first column that stores data type TEXT
, year
as the second column that stores data type YEAR
, etc.
INSERT
Insert a new row into a table with INSERT INTO
.
SELECT
Select and view columns from a table.
ALTER
ALTER TABLE
is used to add a new column into a table.
UPDATE
UPDATE
is used with SET
to change existing records in a table.
DELETE
DELETE FROM
is used to delete one or more rows from a table.
CONSTRAINTS
Constraints are used to specify the restriction of a column, any inserted data that doesn't adhere to the restriction will be rejected.
Examples include:
PRIMARY KEY
: a table can only have one primary key - used to uniquely identify a row, rows with duplicated values will be rejected.UNIQUE
: similar toPRIMARY KEY
but a table can have many differentUNIQUE
columns.NOT NULL
: the column must have a value. Any row without value will not be inserted.DEFAULT
: specify a default value if a new row does not have a value for that column.
CREATE TABLE catalogue(
id INTEGER PRIMARY KEY,
brand_name TEXT NOT NULL,
product TEXT DEFAULT 'Not Specified'
);
AS
Rename a column with alias using SELECT __ AS '__'
(remember to use a single quote). The column name in the database won't be changed.
DISTINCT
Return unique values in a column.
WHERE
Filter rows where the specified condition is true.
=
equal to!=
not equal to>
greater than<
less than>=
greater than or equal to<=
less than or equal to
LIKE & WHERE
Used together to filter data to match a specified pattern in a column, by default it's not case sensitive without further settings.
%
: matches zero or more missing letters in the pattern.D%
: returns any brand name that begins with the letter 'D'.%D
: returns any brand name that ends with the letter 'D'.%IO%
: returns any brand name with the letters 'IO' in between.
_
: you can substitute any character here. 'DIOR' or 'D12R' could be returned from LIKE 'D__R'
.
IS NULL & WHERE
Used together to filter out IS NOT NULL
or to find missing values IS NULL
.
SELECT *
FROM catalogue
WHERE brand_name IS NOT NULL;
BETWEEN & WHERE
Used together to filter the result to be in a certain range.
- For text,
WHERE brand_name BETWEEN 'A' AND 'Z'
returns result with brand_name begin with letter 'A' up to but no including 'Z', but will include a brand with the name 'Z', not 'Zocdoc'.
SELECT *
FROM catalogue
WHERE brand_name BETWEEN 'A' AND 'Z';
- For numbers,
WHERE year BETWEEN 2000 AND 2010
returns result with year from 2000 up to and including 1999.
SELECT *
FROM catalogue
WHERE year BETWEEN 2000 AND 2010;
AND & WHERE
Used together to combine multiple conditions, return result where all conditions are true.
OR & WHERE
Used together to combine multiple conditions, return result where any condition is true, select all the rows that include those that are really old year<1994
or really new year>2010
.
ORDER BY
Used to sort the result in an ascending ASC
or descending DESC
order, alphabetically or numerically. You can sort the result first by one column year DEC
then by another brand_name ASC
.
LIMIT
Used to limit the number of rows displayed, similar to Python's .head(10)
.
CASE
Used to specify different cases similar to if-then clauses.
CASE
WHEN CONDITION1 THEN RESULT1
ELSE RESULT2
END;
Check out Part II of the SQL cheatsheet here.
Mentioned in this post:
- Codeacademy (get 1st month for free)