6.2 KiB
SQL Primer
Agenda
- CRUD with SQL
- JOIN
Note
The script to create the database and insert data can be found here.
Once your database is set up, download the worksheet from here and start writing some queries! If you get stuck, you can find the answers here.
CRUD with SQL
Create rows
Keyword: INSERT
Syntax: INSERT INTO table_name (column1, column2, ...) VALUES (value1, value2, ...)
Examples
- Insert a row with all columns
INSERT INTO students VALUES (1, 'Tantia', 'Tope', 't@t.com', '1234567890', 1);
- Insert a row with some columns
INSERT INTO students (first_name, last_name) VALUES ('Tantia', 'Tope');
Read rows
Keyword: SELECT
Syntax: SELECT column1, column2, ... FROM table_name WHERE condition ORDER BY column1, column2, ... ASC/DESC LIMIT #
Examples
-
Get all rows
SELECT * FROM students;
-
Get certain fields from all rows
SELECT first_name, last_name FROM students;
-
Filter rows by condition
SELECT * FROM students WHERE first_name = 'Tantia';
-
Order rows by column
SELECT * FROM students ORDER BY first_name ASC;
-
Limit number of rows
SELECT * FROM students LIMIT 10;
Common operators for WHERE clause
Operator | Description | Example |
---|---|---|
= | Equal | SELECT * FROM students WHERE first_name = 'Tantia' |
!= or <> | Not equal | SELECT * FROM students WHERE first_name != 'Tantia' |
NOT | NOT | SELECT * FROM students WHERE NOT first_name = 'John' |
> | Greater than | SELECT * FROM students WHERE iq > 150 |
< | Less than | SELECT * FROM students WHERE age < 100 |
>= | Greater than or equal | SELECT * FROM students WHERE age >= 18 |
<= | Less than or equal | SELECT * FROM students WHERE age <= 18 |
AND | AND | SELECT * FROM students WHERE first_name = 'Tantia' AND last_name = 'Tope' |
OR | OR | SELECT * FROM students WHERE first_name = 'John' OR last_name = 'Mycroft' |
IN | IN | SELECT * FROM students WHERE first_name IN ('John', 'Mycroft') |
BETWEEN | BETWEEN | SELECT * FROM students WHERE iq BETWEEN 100 AND 150 |
LIKE | LIKE | SELECT * FROM students WHERE first_name LIKE '%T%' |
REGEXP | REGEXP | SELECT * FROM students WHERE first_name REGEXP '^[A-Z]{1}' |
NULL | NULL | SELECT * FROM students WHERE first_name IS NULL |
NOT NULL | NOT NULL | SELECT * FROM students WHERE first_name IS NOT NULL |
String matching wildcards
With LIKE
you can use the following two wildcard characters in the pattern:
%
matches any number of characters, even zero characters._
matches exactly one character.
SELECT * FROM students WHERE first_name LIKE 'T%';
SELECT * FROM students WHERE first_name LIKE 'T_';
Update rows
Keyword: UPDATE
Syntax: UPDATE table_name SET column1 = value1, column2 = value2, ... WHERE condition
Examples
-
Update a row
UPDATE students SET first_name = 'Tantia' WHERE id = 1;
-
Update a row with a condition
UPDATE students SET first_name = 'Tantia' WHERE id = 1 AND first_name = 'John';
-
Update multiple columns
UPDATE students SET first_name = 'Tantia', last_name = 'Tope' WHERE id = 1 AND first_name = 'John';
Delete rows
Keyword: DELETE
Syntax: DELETE FROM table_name WHERE condition
Examples
-
Delete a row with a condition
DELETE FROM students WHERE id = 1 AND first_name = 'John';
-
Delete a multiple rows
DELETE FROM students WHERE id IN (1, 2, 3);
Join
Join is the widely-used clause in the SQL Server essentially to combine and retrieve data from two or more tables. In a real-world relational database, data is structured in many tables and which is why, there is a constant need to join these multiple tables based on logical relationships between them.
Inner join
Inner Join clause in SQL Server creates a new table (not physical) by combining rows that have matching values in two or more tables. This join is based on a logical relationship (or a common field) between the tables and is used to retrieve data that appears in both tables.
Assume, we have two tables, Table A and Table B, that we would like to join using SQL Inner Join. The result of this join will be a new result set that returns matching rows in both these tables. The intersection part in black below shows the data retrieved using Inner Join.
Keyword: INNER JOIN
or simply JOIN
Syntax: SELECT column1, column2, ... FROM table_name1 JOIN table_name2 ON condition
For example, we want to get the batch names of all the students along with their names.
id | first_name | last_name | batch_name |
---|---|---|---|
1 | John | Watson | Sherlock |
2 | Mycroft | Holmes | Sherlock |
This can be achieved by using the following SQL query:
SELECT s.first_name, s.last_name, b.batch_name FROM students s JOIN batches ON s.batch_id = b.id;