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[sql/en] More examples (#4898)
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@ -3,6 +3,7 @@ language: SQL
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filename: learnsql.sql
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contributors:
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- ["Bob DuCharme", "http://bobdc.com/"]
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- ["Th3G33k", "https://github.com/Th3G33k"]
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---
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Structured Query Language (SQL) is an [ISO/IEC 9075](https://www.iso.org/standard/63555.html) standard language for creating and working with databases stored in a set of tables. Implementations usually add their own extensions to the language; [Comparison of different SQL implementations](http://troels.arvin.dk/db/rdbms/) is a good reference on product differences.
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@ -15,6 +16,10 @@ Several of these sample commands assume that the [MySQL employee sample database
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```sql
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-- Comments start with two hyphens. End each command with a semicolon.
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/*
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Multi-line comments
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*/
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-- SQL is not case-sensitive about keywords. The sample commands here
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-- follow the convention of spelling them in upper-case because it makes
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-- it easier to distinguish them from database, table, and column names.
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@ -54,7 +59,22 @@ SELECT * FROM departments WHERE dept_name LIKE 'S____';
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SELECT DISTINCT title FROM titles;
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-- Same as above, but sorted (case-sensitive) by the title values.
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SELECT DISTINCT title FROM titles ORDER BY title;
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-- The order can be specified by adding ASC (ascending) or DESC (descending).
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-- If omitted, it will sort in ascending order by default.
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SELECT DISTINCT title FROM titles ORDER BY title ASC;
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-- Use the comparison operators (=, >, <, >=, <=, <>) and
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-- the conditional keywords (AND, OR) to refine your queries.
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SELECT * FROM departments WHERE dept_no = 'd001' OR dept_no = 'd002'
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-- Same as above.
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SELECT * FROM departments WHERE dept_no IN ('d001', 'd0002')
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-- Opposite of the above.
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SELECT * FROM departments WHERE dept_no NOT IN ('d001', 'd0002')
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-- Select in a given range.
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SELECT * from departments WHERE dept_no BETWEEN 'd001' AND 'd0002'
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-- Show the number of rows in the departments table.
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SELECT COUNT(*) FROM departments;
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@ -63,6 +83,24 @@ SELECT COUNT(*) FROM departments;
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-- have 'en' as a substring of the dept_name value.
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SELECT COUNT(*) FROM departments WHERE dept_name LIKE '%en%';
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-- Aggregate functions can be used, with GROUP BY, to compute a value
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-- from a set of values. Most commonly used functions are:
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-- MIN(), MAX(), COUNT(), SUM(), AVG().
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-- Use HAVING to filter rows by aggregated values.
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-- Retrieve the total number of employees, by department number,
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-- with the condition of having more than 100 employees.
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SELECT dept_no, COUNT(dept_no) FROM dept_emp GROUP BY dept_no
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HAVING COUNT(dept_no) > 100
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-- Aliases, using the optional keyword AS, can be used for column/table names.
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SELECT COUNT(A.*) AS total_employees, COUNT(B.*) total_departments
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FROM employees AS A, departments B
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-- Common date format is "yyyy-mm-dd".
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-- However, it can vary according to the implementation, the operating system, and the session's locale.
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SELECT * FROM dept_manager WHERE from_date >= '1990-01-01'
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-- A JOIN of information from multiple tables: the titles table shows
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-- who had what job titles, by their employee numbers, from what
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-- date to what date. Retrieve this information, but instead of the
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@ -75,6 +113,15 @@ SELECT employees.first_name, employees.last_name,
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FROM titles INNER JOIN employees ON
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employees.emp_no = titles.emp_no LIMIT 10;
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-- Combine the result of multiple SELECT.
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-- UNION selects distinct rows, UNION ALL selects all rows.
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SELECT * FROM departments WHERE dept_no = 'd001'
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UNION
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SELECT * FROM departments WHERE dept_no = 'd002'
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-- SQL syntax order is:
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-- SELECT _ FROM _ JOIN _ ON _ WHERE _ GROUP BY _ HAVING _ ORDER BY _ UNION
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-- List all the tables in all the databases. Implementations typically provide
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-- their own shortcut command to do this with the database currently in use.
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SELECT * FROM INFORMATION_SCHEMA.TABLES
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