Created
September 30, 2015 20:02
-
-
Save markglenfletcher/e27672e7267b23b304bd to your computer and use it in GitHub Desktop.
SQL cheat sheet
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
SQL | |
Statements always end with a semi-colon ; | |
Statement breakdown: | |
CREATE TABLE table_name ( | |
column_1 data_type, | |
column_1 data_type | |
); | |
CREATE TABLE is a clause | |
Clauses are conventionally written in capitals. | |
Clauses perform specific tasks within the database | |
table_name | |
refers to the table that the statement applies to | |
the context in which the clause will be executed | |
( column_1 data_type ) | |
these are the parameters of the statement | |
a list of columns, data types or values that are passed to the statement as parameters | |
Here the parameter is a list of column names and the associated data type | |
When writing statements they can be across multiple lines or on a single line. How the statement is formatted is chosen primarily for readability. | |
Clauses: | |
CREATE TABLE - create a new table CREATE TABLE table_name (column datatype, column datatype) | |
INSERT INTO - Insert a row into a new table INSERT INTO table_name (column,s) | |
VALUES - indicates data to be inserted VALUES (value,s) | |
SELECT - retrieve values from the database. This statement always returns a new table called the 'result set' SELECT column1, column2 | |
FROM - specify where data should be coming from FROM table_name | |
UPDATE - change existing records in a particular table UPDATE table_name | |
SET - indicates the column to edit SET column_name = value | |
WHERE - filter results of a query WHERE condition (id = | IS 1) | |
ALTER TABLE - edit an existing table ALTER TABLE table_name | |
ADD COLUMN - add a column to a table ADD COLUMN column_name data_type | |
DELETE FROM - delete row from a table DELETE FROM table_name | |
DISTINCT - return unique values within the result_set SELECT DISTINCT | |
ORDER BY - Sort the results of a query | |
LIMIT - Specify the max. number of rows in the result set | |
GROUP BY - arrange identical data into groups | |
Operators: | |
= | |
!= | |
> | |
< | |
>= | |
<= | |
LIKE - compare similar values | |
IS | |
BETWEEN - filter the results set within a range (numbers, text and dates) | |
AND - combine conditions | |
OR | |
Patterns: | |
_ : wildcard characters exactly one missing letter | |
% : wildcard 0 or more missing letters | |
Keywords: | |
DESC: Apply descending order by clause | |
ASC: Apply ascending order by clause | |
AS: Rename a column or table using an Alias for the result set | |
Functions: | |
COUNT() - calculate the number of rows in a table COUNT(*) | |
MAX() - Find largest value in a column | |
MIN() - Find the smallest value in a column | |
AVG() - Find the average for values in a column | |
ROUND(column_name, dec_places) - Round values in a column to the number of decimal places | |
Data types: | |
INTEGER | |
TEXT | |
DATE | |
PRIMARY KEY - Only one column in a table can have this, ensures that the data in a column is unique, ensures none of the values in a column are NULL | |
Concepts: | |
PRIMARY KEY is a unique identifier for rows within a particular table | |
FOREIGN KEY is a unique identifier for a different table which is used to associate two tables. foreign keys do not need to be unique and can be NULL | |
Joins: | |
Cross Join: Specify multiple tables separated by a comma. Columns must be specified using dot notation between the table name and the column name | |
SELECT table1.id, table2.name FROM table1, table2 | |
Inner Join: Combine rows from different tables if the join condition is true | |
SELECT | |
table1.name, category, table2.name | |
FROM | |
table1 | |
JOIN table2 ON | |
table1.foreign_key = table2.id | |
ORDER BY table2.name; | |
Outer join: These joins do not require the join condition to be met | |
Left Join: Every row in the left table is returned in the result set filling the columns in the right table with NULL values when the condition is not met | |
Left table: The first table in the join | |
Right table: The second table in the join |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment