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107 lines
4.8 KiB
Markdown
107 lines
4.8 KiB
Markdown
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---
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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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lang: en-en
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---
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Structured Query Language (SQL) is an ISO 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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Implementations typically provide a command line prompt where you can enter the commands shown here interactively, and they also offer a way to execute a series of these commands stored in a script file. (Showing that you’re done with the interactive prompt is a good example of something that isn’t standardized--most SQL implementations support the keywords QUIT, EXIT, or both.)
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Several of these sample commands assume that the [MySQL employee sample database](https://dev.mysql.com/doc/employee/en/) available on [github](https://github.com/datacharmer/test_db) has already been loaded. The github files are scripts of commands, similar to the relevant commands below, that create and populate tables of data about a fictional company’s employees. The syntax for running these scripts will depend on the SQL implementation you are using. A utility that you run from the operating system prompt is typical.
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```
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# Comments start with a pound sign. End each command with a semicolon.
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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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# Create and delete a database. Database and table names are case-sensitive.
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CREATE DATABASE someDatabase;
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DROP DATABASE someDatabase;
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# List available databases.
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SHOW DATABASES;
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# Use a particular existing database.
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USE employees;
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# Select all rows and columns from the current database's departments table.
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# Default activity is for the interpreter to scroll the results on your screen.
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SELECT * FROM departments;
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# Retrieve all rows from the departments table,
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# but only the dept_no and dept_name columns.
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# Splitting up commands across lines is OK.
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SELECT dept_no,
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dept_name FROM departments;
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# Retrieve all departments columns, but just 5 rows.
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SELECT * FROM departments LIMIT 5;
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# Retrieve dept_name column values from the departments
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# table where the dept_name value has the substring "en".
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SELECT dept_name FROM departments WHERE dept_name LIKE "%en%";
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# Retrieve all columns from the departments table where the dept_name
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# column starts with an "S" and has exactly 4 characters after it.
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SELECT * FROM departments WHERE dept_name LIKE "S____";
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# Select title values from the titles table but don't show duplicates.
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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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# Show the number of rows in the departments table.
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SELECT COUNT(*) FROM departments;
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# Show the number of rows in the departments table that
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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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# 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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# employee number, use the employee number as a cross-reference to
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# the employees table to get each employee's first and last name
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# instead. (And only get 10 rows.)
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SELECT employees.first_name, employees.last_name,
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titles.title, titles.from_date, titles.to_date
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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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# 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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WHERE TABLE_TYPE='BASE TABLE';
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# Create a table called tablename1, with the two columns shown, for
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# the database currently in use. Lots of other options are available
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# for how you specify the columns, such as their datatypes.
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CREATE TABLE tablename1 (`fname` VARCHAR(20),`lname` VARCHAR(20));
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# Insert a row of data into the table tablename1. This assumes that the
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# table has been defined to accept these values as appropriate for it.
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INSERT INTO tablename1 VALUES('Richard','Mutt');
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# In tablename1, change the fname value to "John"
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# for all rows that have an lname value of "Mutt".
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UPDATE tablename1 SET fname="John" WHERE lname="Mutt";
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# Delete rows from the tablename1 table
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# where the lname value begins with "M".
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DELETE FROM tablename1 WHERE lname like "M%";
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# Delete all rows from the tablename1 table, leaving the empty table.
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DELETE FROM tablename1;
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# Remove the entire tablename1 table.
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DROP TABLE tablename1;
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```
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