MAX() Aggregate Function
MAX() aggregate function takes the name of a column as an argument and returns the largest value in a column. The given query will return the largest value from the
SELECT MAX(amount) FROM transactions;
SELECT * statement returns all columns from the provided table in the result set. The given query will fetch all columns and records (rows) from the
SELECT * FROM movies;
ORDER BY Clause
ORDER BY clause can be used to sort the result set by a particular column either alphabetically or numerically. It can be ordered in two ways:
DESCis a keyword used to sort the results in descending order.
ASCis a keyword used to sort the results in ascending order (default).
SELECT * FROM contacts ORDER BY birth_date DESC;
COUNT() Aggregate Function
COUNT() aggregate function returns the total number of rows that match the specified criteria. For instance, to find the total number of employees who have less than 5 years of experience, the given query can be used.
Note: A column name of the table can also be used instead of
COUNT(*), this variation
COUNT(column) will not count
NULL values in that column.
SELECT COUNT(*) FROM employees WHERE experience < 5;
Unique values of a column can be selected using a
DISTINCT query. For a table
contact_details having five rows in which the
city column contains Chicago, Madison, Boston, Madison, and Denver, the given query would return:
SELECT DISTINCT city FROM contact_details;
LIMIT clause is used to narrow, or limit, a result set to the specified number of rows. The given query will limit the result set to 5 rows.
SELECT * FROM movies LIMIT 5;
GROUP BY Clause
GROUP BY clause will group records in a result set by identical values in one or more columns. It is often used in combination with aggregate functions to query information of similar records. The
GROUP BY clause can come after
WHERE but must come before any
ORDER BY or
The given query will count the number of movies per rating.
SELECT rating, COUNT(*) FROM movies GROUP BY rating;
MIN() Aggregate Function
MIN() aggregate function returns the smallest value in a column. For instance, to find the smallest value of the
amount column from the table named
transactions, the given query can be used.
SELECT MIN(amount) FROM transactions;
CASE statement in SQL
CASE statement enables control flow in SQL. It allows for one or more conditions (
THEN result) and an optional default case (
ELSE). The query above will provide each rating a value for the specified ranges within the result set.
SELECT name, CASE WHEN rating > 8 THEN "Excellent" WHEN rating > 5 THEN "Good" WHEN rating > 3 THEN "Okay" ELSE "Bad" END FROM movies;
HAVING clause is used to further filter the result set groups provided by the
GROUP BY clause.
HAVING is often used with aggregate functions to filter the result set groups based on an aggregate property. The given query will select only the records (rows) from only years where more than 5 movies were released per year.
SELECT year, COUNT(*) FROM movies GROUP BY year HAVING COUNT(*) > 5;
WHERE clause is used to filter records (rows) that match a certain condition. The given query will select all records where the
SELECT title FROM library WHERE pub_year = 2017;
ROUND() function will round a number value to a specified number of places. It takes two arguments: a number, and a number of decimal places. It can be combined with other aggregate functions, as shown in the given query. This query will calculate the average rating of movies from 2015, rounding to 2 decimal places.
SELECT year, ROUND(AVG(rating), 2) FROM movies WHERE year = 2015;
An outer join will combine rows from different tables even if the join condition is not met. In a
LEFT JOIN, every row in the left table is returned in the result set, and if the join condition is not met, then
NULL values are used to fill in the columns from the right table.
SELECT column_name(s) FROM table1 LEFT JOIN table2 ON table1.column_name = table2.column_name;
JOIN clause allows for the return of results from more than one table by joining them together with other results based on common column values specified using an
INNER JOIN is the default
JOIN and it will only return results matching the condition specified by
SELECT * FROM books JOIN authors ON books.author_id = authors.id;