An introduction to relational databases

Prerequisites

A working PostgreSQL installation.
SQL Study

Objectives

By the end of this talk, developers should be able to:

Create a database table
Insert a row or rows into a database table
Retrieve a row or rows from a database table
Modify a database table after creation
Update a row or rows in a database table
Delete a row or rows from a database table

Preparation

Fork and clone this repository. FAQ
Create a new branch, training, for your work.
Checkout to the training branch.
Install dependencies.

Instructions

Please remember that demonstrations are for taking notes, code alongs are to write code following the consultant's lead, and labs are to write code with the support of the consulting team.

Introduction

Why are we talking about SQL?

Most applications need a data store to persist important information. A relational database is the most common datastore for a web application. SQL is the language of relational databases.

At it's simplest, a relational database is a mechanism to store and retrieve data in a tabular form.

Spreadsheets are a good analogy. Individual sheets as tables and the whole spreadsheet as a database. See this link for an example.

Why is this important?

Database tables are a good place to store key/value pairs, as long as the values are simple types (e.g. string, number). The keys are the column names and the values are stored in each row. That maps well to simple JSON objects. A group of rows from one table maps well to a JSON array.

What about more complicated data?

Database tables can reference other tables which allows arbitrary nesting of groups of simple types. This is something we'll be looking at more closely later.

Relational Database Management System (RDBMS)

A Database Server is a set of processes and files that manage the databases that store the tables. Sticking with our previous analogy a database server would map to Google Sheets.

Verb Equivalence

CRUD (create, read, update and delete), SQL, HTTP, and Rails Controller action.

CRUD	SQL	HTTP	action
Create	INSERT	POST	create
Read	SELECT	GET	index/show
Update	UPDATE	PATCH	update
Delete	DELETE	DELETE	destroy

PostgreSQL

We'll be using PostgreSQL, a popular open source database server, which should already be installed on your computer.

On Macs you can run brew services list to see if PostgreSQL is running.

If the server isn't running, status not started, please start it using brew services start postgresql.

Code along: CREATE DATABASE

We'll use sql-crud as the database to hold our tables and psql to interact with it. psql is PostgreSQL's command line client which lets us execute SQL commands interactively (REPL-like) and from scripts. It also has some built in commands we'll find useful.

$ psql sql-crud
psql: FATAL:  database "sql-crud" does not exist
$

But first we need to create the database. We'll use the CREATE DATABASE command from within psql. This is a SQL (Structure Query Language - see also the Wikipedia article) command and requires that we wrap the database name in double quotes (i.e. create database "sql-crud";). A - is not allowed as a name character in SQL unless the name is surrounded with double-quotes.

If we want to remove a database - be careful, this is unrecoverable - we use the DROP DATABASE command.

If we run psql without a parameter it will connect to our default database, usually named with our login.

psql

 (9.6.1)
Type "help" for help.

and=> CREATE DATABASE "sql-crud";
CREATE DATABASE
and=>

Once we've created the database we can access it using the psql built-in command \c (for connect):

and=> \c sql-crud
You are now connected to database "sql-crud" as user "and".
sql-crud=>

Or we can access it from the command line using the psql command and passing the database name as an argument:

psql sql-crud

psql (9.6.1)
Type "help" for help.

sql-crud=>

psql has help for both its built-in commands and for SQL.

psql (9.6.1)
Type "help" for help.

sql-crud=> help
You are using psql, the command-line interface to PostgreSQL.
Type:  \copyright for distribution terms
       \h for help with SQL commands
       \? for help with psql commands
       \g or terminate with semicolon to execute query
       \q to quit
sql-crud=>

Let's look at some of the help for psql commands.

\l lists all the databases created on the server we're connected to.
\d (and its variations) shows information about the objects in the current database.
\i reads commands from a file

Now let's make sure we're in the right database:

sql-crud=> select current_catalog;
 current_database
------------------
 sql-crud
(1 row)

sql-crud=>

We'll run all our SQL commands against the same database, so it's important that we consistently use sql-crud.

Tables

We create a table to define the names and types of data we want to store.

PostgreSQL's documentation is extensive and excellent, and we'll want to make use of it throughout the lesson.

Table basics - a brief overview of tables in an RDBMS.
Data Types - the data types available in PostgreSQL.
CREATE TABLE - detailed documentation of PostgreSQL's version of the SQL CREATE TABLE command.
DROP TABLE - detailed documentation of PostgreSQL's version of the SQL DROP TABLE command.

Note well, DROP TABLE is unrecoverable if it executes successfully.

Demonstration: CREATE TABLE

By convention (the one we'll use throughout), tables are named with the pluralization of the name of the object whose data they hold. So for example, if each row of data is about a person, then the table is called people. By another convention, each table will have an id column that uniquely identifies each row. This unique id is the PRIMARY KEY of the table.

We'll create a table to hold books. We'll use the first line of data/books.csv for the column names.

What data-types should we use for each column?

We'll save the SQL statement to create the books table in scripts/library/create_table_books.sql. We can execute the commands in the file using psql --file=filename <file> or from the psql prompt using `\i

`. ### Code along: CREATE TABLE Together, we'll create a table to hold information about patients. We'll use the first row of `data/people.csv` for the column names. What data-types should we use for each column? We'll save the statement in `scripts/clinic/000_create_table_patients.sql` ### Lab: CREATE TABLE Create a table to hold information about ingredients. Use the first row of `data/ingredients.csv` for the names of the columns other than `id`. Use `scripts/cookbook/000_create_table_ingredients.sql` to store the SQL statement. Once you've created the table `ingredients`, create the table `books` from the demonstration. ## Adding Rows to a Table - [Inserting Data](https://www.postgresql.org/docs/9.6/static/dml-insert.html) \- overview of adding rows to a table. - [INSERT](https://www.postgresql.org/docs/9.6/static/sql-insert.html) \- detailed documentation of PostgreSQL's version of the SQL `INSERT INTO` command. - [COPY](https://www.postgresql.org/docs/9.6/static/sql-copy.html) \- detailed documentation of PostgreSQL's `COPY` command for loading data in bulk. For inserting bulk data, PostgreSQL provides the `COPY` command. We won't use that command directly, as it executes relative to the server installation, rather we'll use `psql`'s meta-command `\copy` allowing us to load data relative to where we run `psql`. Bulk loading is something available with most RDBMSs, but the specific commands and capabilities vary. ### Demonstration: INSERT INTO and COPY First we'll use variations of `INSERT` to add a few rows to books. We'll store the the commands in `scripts/library/010_insert_into_books.sql`. Note that string literals in SQL statements are delimited by single quotes, i.e. `'`. To include a single quote in a string literal, double it, e.g. `'That''s interesting'`. This is not an issue when loading from a valid CSV file using PostgreSQL's `COPY` command or psql's `\copy` command. Next we'll load data in bulk from `data/books.csv` using `\copy`. We'll store that command in `scripts/library/020_bulk_load_books.psql` ### Code along: INSERT INTO and COPY Together we'll add a few rows to patients then we'll bulk load `data/people.csv`. ### Lab: INSERT INTO and COPY Add an ingredient to the `ingredients` table using `INSERT` then bulk load `data/ingredients.csv`. Next add a book to the `books` table using `INSERT`, then bulk load `data/books.csv`. ## Retrieving rows from a table This is about the _query_ part of Structured _Query_ Language. Query statements can run from almost trivial to highly complex. They provide a mechanism to retrieve and summarize the data in your database. - [Queries](https://www.postgresql.org/docs/9.6/static/queries.html) - TOC of the Queries section of PostgreSQL's documentation for `The SQL Language`. - [SELECT](https://www.postgresql.org/docs/9.6/static/sql-select.html) - detailed documentation of PostgreSQL's version of the SQL `SELECT` command. ### Demonstration: SELECT Let's see some what we can learn about the books in the database. ### Code along: SELECT Together we'll build a query to get the count of patients by gender. ### Lab: SELECT Write a query to get the count of ingredients by unit. Then write a query to count books by author. ## Changing the Structure of a Table - [Modifying Tables](https://www.postgresql.org/docs/9.6/static/ddl-alter.html) \- overview of changing tables. - [ALTER TABLE](https://www.postgresql.org/docs/9.6/static/sql-altertable.html) \- detailed documentation of PostgreSQL's version of the SQL `ALTER TABLE` command. ### Demonstration: ALTER TABLE We'll add the column `isbn` to books. ### Code along: ALTER TABLE We'll change the type of the columns `height` and `weight` in patients. ### Lab: ALTER TABLE Add columns for macro-nutrients to ingredients then add the column `isbn` to books. ## Changing the Data in Rows of a Table - [Updating Data](https://www.postgresql.org/docs/9.6/static/dml-update.html) \- overview of changing rows - [UPDATE](https://www.postgresql.org/docs/9.6/static/sql-update.html) - detailed documentation of PostgreSQL's version of the SQL `UPDATE` command. ### Demonstration: UPDATE We'll update the isbn for some books. ### Code along: UPDATE Let's update some patients' weights. ### Lab: UPDATE Update macro-nutrients for some ingredients then isbn for some books. ## Removing Rows from a Table - [Deleting Data](https://www.postgresql.org/docs/9.6/static/dml-delete.html) \- overview of removing rows from a table - [DELETE](https://www.postgresql.org/docs/9.6/static/sql-delete.html) - detailed documentation of PostgreSQL's version of the SQL `DELETE` command. - [TRUNCATE](https://www.postgresql.org/docs/9.6/static/sql-truncate.html) - detailed documentation of PostgreSQL's `TRUNCATE` command. ### Demonstration: DELETE We'll remove a few books from the database. Note, `TRUNCATE ;` is functionally equivalent to `DELETE FROM

;`, it will remove all the rows from the table. #### Code along: DELETE Let's remove the patients who's given and family names start with the same letter. #### Lab: DELETE Remove ingredients you wouldn't keep in your kitchen or pantry. ## Additional Resources - [SQL Wikipedia article](https://en.wikipedia.org/wiki/SQL) ## [License](LICENSE) 1. All content is licensed under a CCBYNCSA 4.0 license. 1. All software code is licensed under GNU GPLv3. For commercial use or alternative licensing, please contact legal@ga.co.

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