SQL Cheat Sheet
Last updated on 2024-03-26 | Edit this page
Basic query
- selects only the specified columns from a table.
- select all of the columns in a table.
- selects only the unique values from a table.
- selects only the data that meets certain criteria.
- you can use operators
=,<,>, etc - you can also combine tests using
AND,ORin the WHERE clause.
- selects only the data where column_name equals to
value1,value2, and so on.
- selects only the specified columns from a table, sort the results by
a column in
ASC(ascending) orDESC(descending) order.
Aggregation
- Aggregate results by grouping records based on value and calculating combined values in groups.
- E.g.
SELECT COUNT(*) FROM table_namewill display the total number of records. - You can use aggregate functions
COUNT,SUM,MAX,MIN,AVG.
SQL
SELECT column_name, aggregate_function(column_name)
FROM table_name
WHERE column_name operator value
GROUP BY column_name;
-
GROUP BYtells SQL what field or fields we want to use to aggregate the data. If we want to group by multiple fields, we giveGROUP BYa comma separated list.
SQL
SELECT column_name, aggregate_function(column_name)
FROM table_name
GROUP BY column_name
HAVING aggregate_function(column_name) operator value;
- The
HAVINGkeyword works exactly like theWHEREkeyword, but uses aggregate functions instead of database fields.
Joins and aliases
SQL
SELECT column_names
FROM table_name1
JOIN table_name2
ON table_name1.column_name = table_name2.column_name;
- Combine data from two tables where the values of column_name in the two tables are the same.
- Instead of
ON, you can use theUSINGkeyword as a shorthand. E.g.USING (column_name).
SQL
SELECT alias1.column_name1, alias1.column_name2, alias2.column_name3
FROM table_name1 AS alias1
JOIN table_name2 AS alias2
ON alias1.column_name = alias2.column_name;
- we can use aliases to assign new names to things in the query.
- we can use as to rename column names too. E.g.
SELECT journal_title AS journal.