add sql database lecture
- add bulk of slides from asp.net - add docker slides from backend-basicsmain
@ -0,0 +1,96 @@
|
||||
CREATE TABLE "users" (
|
||||
"id" SERIAL PRIMARY KEY,
|
||||
"full_name" varchar NOT NULL,
|
||||
"email" varchar UNIQUE NOT NULL,
|
||||
"created_at" timestamp NOT NULL
|
||||
);
|
||||
|
||||
CREATE TABLE "genres" (
|
||||
"id" SERIAL PRIMARY KEY,
|
||||
"name" varchar UNIQUE NOT NULL
|
||||
);
|
||||
|
||||
CREATE TABLE "languages" (
|
||||
"id" SERIAL PRIMARY KEY,
|
||||
"name" varchar UNIQUE NOT NULL
|
||||
);
|
||||
|
||||
CREATE TABLE "books" (
|
||||
"id" SERIAL PRIMARY KEY,
|
||||
"name" varchar NOT NULL,
|
||||
"release_year" int NOT NULL,
|
||||
"genre_id" int NOT NULL,
|
||||
"language_id" int NOT NULL
|
||||
);
|
||||
|
||||
CREATE TABLE "volumes" (
|
||||
"id" SERIAL PRIMARY KEY,
|
||||
"book_id" int NOT NULL
|
||||
);
|
||||
|
||||
CREATE TABLE "borrows" (
|
||||
"id" SERIAL PRIMARY KEY,
|
||||
"volume_id" int NOT NULL,
|
||||
"user_id" int NOT NULL,
|
||||
"borrowed_at" timestamp NOT NULL,
|
||||
"due_date" timestamp NOT NULL,
|
||||
"returned_at" timestamp
|
||||
);
|
||||
|
||||
ALTER TABLE "books" ADD FOREIGN KEY ("genre_id") REFERENCES "genres" ("id");
|
||||
|
||||
ALTER TABLE "books" ADD FOREIGN KEY ("language_id") REFERENCES "languages" ("id");
|
||||
|
||||
ALTER TABLE "volumes" ADD FOREIGN KEY ("book_id") REFERENCES "books" ("id");
|
||||
|
||||
ALTER TABLE "borrows" ADD FOREIGN KEY ("volume_id") REFERENCES "volumes" ("id");
|
||||
|
||||
ALTER TABLE "borrows" ADD FOREIGN KEY ("user_id") REFERENCES "users" ("id");
|
||||
|
||||
|
||||
INSERT INTO users (full_name, email, created_at)
|
||||
VALUES
|
||||
('Teppo Testaaja', 'teppo.testaaja@buutti.com', NOW()),
|
||||
('Taija Testaaja', 'taija.testaaja@buutti.com', NOW()),
|
||||
('Outi Ohjelmoija', 'outi.ohjelmoija@buutti.com', NOW()),
|
||||
('Olli Ohjelmoija', 'olli.ohjelmoija@buutti.com', NOW());
|
||||
|
||||
INSERT INTO genres (name)
|
||||
VALUES
|
||||
('Scifi'),
|
||||
('Fantasy'),
|
||||
('Comic book'),
|
||||
('Horror'),
|
||||
('Drama');
|
||||
|
||||
INSERT INTO languages (name)
|
||||
VALUES
|
||||
('Finnish'),
|
||||
('English'),
|
||||
('Swedish');
|
||||
|
||||
INSERT INTO books (name, release_year, genre_id, language_id)
|
||||
VALUES
|
||||
('Taru Sormusten Herrasta', 1954, 2, 1),
|
||||
('Silmarillion', 1977, 2, 2),
|
||||
('The Hitchhikers Guide to the Galaxy', 1979, 1, 2);
|
||||
|
||||
INSERT INTO volumes (book_id)
|
||||
VALUES
|
||||
(1),
|
||||
(1),
|
||||
(1),
|
||||
(1),
|
||||
(1),
|
||||
(1),
|
||||
(2),
|
||||
(2),
|
||||
(2),
|
||||
(3),
|
||||
(3);
|
||||
|
||||
INSERT INTO borrows (volume_id, user_id, borrowed_at, due_date, returned_at)
|
||||
VALUES
|
||||
(1, 1, current_timestamp - (30 * interval '1 day'), current_timestamp, null),
|
||||
(2, 2, current_timestamp - (35 * interval '1 day'), current_timestamp - (5 * interval '1 day'), null),
|
||||
(7, 1, current_timestamp - (40 * interval '1 day'), current_timestamp - (10 * interval '1 day'), current_timestamp - (15 * interval '1 day'));
|
After Width: | Height: | Size: 145 KiB |
After Width: | Height: | Size: 20 KiB |
After Width: | Height: | Size: 72 KiB |
After Width: | Height: | Size: 25 KiB |
After Width: | Height: | Size: 125 KiB |
After Width: | Height: | Size: 9.7 KiB |
After Width: | Height: | Size: 46 KiB |
After Width: | Height: | Size: 40 KiB |
After Width: | Height: | Size: 47 KiB |
After Width: | Height: | Size: 32 KiB |
After Width: | Height: | Size: 25 KiB |
After Width: | Height: | Size: 48 KiB |
After Width: | Height: | Size: 66 KiB |
After Width: | Height: | Size: 101 KiB |
After Width: | Height: | Size: 27 KiB |
After Width: | Height: | Size: 21 KiB |
After Width: | Height: | Size: 64 KiB |
After Width: | Height: | Size: 66 KiB |
@ -0,0 +1,598 @@
|
||||
---
|
||||
marp: true
|
||||
paginate: true
|
||||
math: mathjax
|
||||
theme: buutti
|
||||
title: SQL Databases
|
||||
---
|
||||
|
||||
# SQL Databases
|
||||
|
||||
<!-- headingDivider: 3 -->
|
||||
<!-- class: invert -->
|
||||
|
||||
## What is SQL?
|
||||
|
||||
* SQL, Structured Query Language is a language used to organize and manipulate data in a database
|
||||
* Originally developed by IBM in the 70's
|
||||
* Quickly became the most popular database language
|
||||
```sql
|
||||
SELECT id, email
|
||||
FROM users
|
||||
WHERE first_name = 'Teppo';
|
||||
```
|
||||
|
||||
### Relational Database Management Systems
|
||||
|
||||
* In relational databases, values are stored in *__tables__*
|
||||
* Each table has *__rows__* and *__columns__*
|
||||
* Data is displayed in a two-dimensional matrix
|
||||
* Values in a table are related to each other
|
||||
* Values can also be related to values in other tables
|
||||
* A relational database management system (RDBMS) is a program that executes queries to relational databases
|
||||
|
||||
### Database management systems compared
|
||||
|
||||

|
||||
|
||||
[https://db-engines.com/en/ranking](https://db-engines.com/en/ranking)
|
||||
|
||||
## PostgreSQL
|
||||
|
||||
* [PostgreSQL](https://www.postgresql.org/) (pronounced *postgres-QL*) is a free and open-source, cross-platform relational database management system
|
||||
* Emphasizes extensibility and SQL compliance
|
||||
* Fully [ACID](https://en.wikipedia.org/wiki/ACID)-compliant (atomicity, consistency, isolation and durability)
|
||||
* Used in conjunction with an interface like ***pgAdmin*** (graphical) or ***psql*** (command-line)
|
||||
* Once installed, can be accessed with the SQL Shell (see instructions [here](https://www.w3schools.com/postgresql/postgresql_getstarted.php))
|
||||
|
||||
### Extra: Running Postgres in Docker
|
||||
<!-- _class: "extra invert" -->
|
||||
|
||||
* Instead of running a PostgreSQL database locally, you can run it *Dockerized*
|
||||
* See [Devops Lecture 1: Docker]()
|
||||
* Using the official [Postgres Docker image](https://hub.docker.com/_/postgres) , let's create a locally running Postgres instance
|
||||
```bash
|
||||
docker run --name my-postgres --env POSTGRES_PASSWORD=pgpass
|
||||
--env POSTGRES_USER=pguser -p 5432:5432 -d postgres:15.2
|
||||
```
|
||||
* You can choose the values for `POSTGRES_PASSWORD` and `POSTGRES_USER` freely.
|
||||

|
||||
|
||||
## `psql`
|
||||
|
||||
* psql (see [Documentation](https://www.postgresql.org/docs/current/app-psql.html
|
||||
)) is a terminal-based interface for PostgreSQL and comes bundled with it
|
||||
* With psql, you can type in SQL queries interactively and see the results
|
||||
* Input from file, command line arguments, scripting and automation...
|
||||
|
||||
<div class='columns' markdown='1'>
|
||||
<div markdown='1'>
|
||||
|
||||
#### With Docker:
|
||||
|
||||
* You can use psql directly from the Docker container running the database
|
||||
```bash
|
||||
docker exec -it my-postgres psql -U pguser
|
||||
```
|
||||
|
||||
</div>
|
||||
<div markdown='1'>
|
||||
|
||||
#### Without Docker:
|
||||
|
||||
* Just open the SQL shell from Start menu.
|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
|
||||
### `psql` commands
|
||||
|
||||
* If you have connected to the server as user `pguser`, you are by default connected to `pguser` database.
|
||||
* This is a database for user information. *Do not use it for storing program data!*
|
||||
* All databases can be listed using the *list* command: `\l`
|
||||
* PostgreSQL uses a default database named `postgres`
|
||||
* Users can connect to a different database with the ***connect*** command `\c`:
|
||||
```psql
|
||||
\c <database-name>
|
||||
```
|
||||
* Exit `psql` with the command `exit`
|
||||
|
||||
### Exercise 1. psql basics
|
||||
<!--_class: "exercise invert" -->
|
||||
|
||||
1) If using Docker, start a local instance of Postgres in Docker.
|
||||
2) Connect to the server using psql.
|
||||
3) Use command `\l` to see what databases there are already created on the server.
|
||||
4) Create a new database called `sqlpractice`.
|
||||
5) Connect to the newly created database.
|
||||
|
||||
## pgAdmin
|
||||
|
||||
* [pgAdmin](https://www.pgadmin.org/) is an administration and development platform for PostgreSQL
|
||||
|
||||
<div class='columns' markdown='1'>
|
||||
<div markdown='1'>
|
||||
|
||||
* Cross-platform, features a web interface
|
||||
* A control panel frontend for your PostgreSQL database
|
||||
* A graphical alternative to psql
|
||||
* Completely separate from PostgreSQL
|
||||
* One of many database management applications
|
||||
* Another major one is [DBeaver](https://dbeaver.io/)
|
||||
|
||||
</div>
|
||||
<div markdown='1'>
|
||||
|
||||

|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
### Extra: Running pgAdmin in Docker
|
||||
<!-- _class: "extra invert" -->
|
||||
|
||||
* Using the official [pgAdmin](https://hub.docker.com/r/dpage/pgadmin4) image, we'll run pgAdmin alongside Postgres
|
||||
```
|
||||
docker run --name my-pgadmin -p 5050:80
|
||||
--env PGADMIN_DEFAULT_EMAIL=<your-email-address>
|
||||
--env PGADMIN_DEFAULT_PASSWORD=<your-password>
|
||||
-d dpage/pgadmin4
|
||||
```
|
||||
* 
|
||||
|
||||
---
|
||||
<!-- _class: "extra invert" -->
|
||||
|
||||
* Both PostgreSQL and pgAdmin are now running in our *local* Docker. To connect pgAdmin to PostgreSQL, we need the IP address used inside Docker.
|
||||
* Using Docker's inspect, we'll get Docker's internal IP for `my-postgres -container`. Since the command produces quite a lot of information, we pipe the result to `grep` (Linux) or `findstr` (Windows) to see only the rows that contain the word `IPAddress`
|
||||
|
||||
<div class='columns' markdown='1'>
|
||||
<div markdown='1'>
|
||||
|
||||
#### Linux
|
||||
|
||||
```bash
|
||||
docker inspect <container-name> | grep IPAddress
|
||||
```
|
||||
|
||||
</div>
|
||||
<div markdown='1'>
|
||||
|
||||
#### Windows
|
||||
|
||||
```powershell
|
||||
docker inspect <container-name> | findstr IPAddress
|
||||
```
|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
* In the example output, the IP Address is `172.17.0.2`:
|
||||

|
||||
|
||||
### Logging into pgAdmin
|
||||
|
||||
<div class='columns' markdown='1'>
|
||||
<div markdown='1'>
|
||||
|
||||
#### With Docker:
|
||||
1) With pgAdmin running, navigate your web browser to http://localhost:5050
|
||||
|
||||
</div>
|
||||
<div markdown='1'>
|
||||
|
||||
#### Without Docker:
|
||||
1) Run pgAdmin from the Start menu.
|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
2) Use the username and password you provided to log in.
|
||||
<div class='centered'>
|
||||
|
||||

|
||||
|
||||
</div>
|
||||
|
||||
### Connecting PgAdmin to our DB
|
||||
|
||||
<div class='columns' markdown='1'>
|
||||
<div markdown='1'>
|
||||
|
||||
1) Now we have all that we need for a connection. In pgAdmin, select<br> *Object > Register > Server*.
|
||||
* If the *Object* menu is greyed out, click on *Servers*.
|
||||

|
||||
2) In the *General* tab, give the server a name that identifies the connection.
|
||||
|
||||
</div>
|
||||
<div markdown='1'>
|
||||
|
||||

|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
|
||||
---
|
||||
|
||||
<div class='columns' markdown='1'>
|
||||
<div markdown='1'>
|
||||
|
||||
3) In the *Connection* tab, enter:
|
||||
1) *Host name/address*
|
||||
* the internal Docker address
|
||||
2) *Port*, *Username*, and *Password*
|
||||
* the values defined when running the PostgreSQL container
|
||||
|
||||
4) Then click *Save*. You should see all the databases available on this server.
|
||||

|
||||
|
||||
</div>
|
||||
<div markdown='1'>
|
||||
|
||||

|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
### Exercise 2: pgAdmin basics
|
||||
<!--_class: "exercise invert" -->
|
||||
|
||||
1) If using Docker, start a local instance of pgAdmin in Docker
|
||||
2) Following lecture instructions, connect the pgAdmin to your already running PostgreSQL server.
|
||||
3) Verify that you can see the database created in the previous assignment.
|
||||
|
||||
## Using PostgreSQL
|
||||
|
||||
### Creating a database
|
||||
|
||||
<div class='columns' markdown='1'>
|
||||
<div markdown='1'>
|
||||
|
||||
With pgAdmin:
|
||||
1) Right-click *Servers > my-postgres > Databases*
|
||||
2) Select _Create > Database..._
|
||||
3) Insert a name for the database and hit _Save_
|
||||
|
||||
</div>
|
||||
<div markdown='1'>
|
||||
|
||||
With psql:
|
||||
1) Enter command (*remember `;`!!!*)
|
||||
```sql
|
||||
CREATE DATABASE <database-name>;
|
||||
```
|
||||
2) After creating a new database, you still need to connect to it with `\c`
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class='centered'>
|
||||
|
||||

|
||||
|
||||
</div>
|
||||
|
||||
### Querying
|
||||
|
||||
With pgAdmin:
|
||||
|
||||
1) Right-click _sqlpractice > Query tool..._
|
||||
2) Insert a query into the _Query Editor_ and hit _Execute_ (F5)
|
||||
|
||||
<div class='columns23' markdown='1'>
|
||||
<div markdown='1'>
|
||||
|
||||

|
||||
|
||||
</div>
|
||||
<div markdown='1'>
|
||||
|
||||

|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
With psql:
|
||||
|
||||
1) List all available databases with `\l`
|
||||
2) Connect to the created database with `\c <database-name>`
|
||||
3) List all tables in the database with `\dt`
|
||||
4) Type a query and press enter
|
||||
* Here's an [example query](code-examples/example-query.sql)
|
||||
|
||||
### Editing data with pgAdmin
|
||||
|
||||
<div class='columns' markdown='1'>
|
||||
<div markdown='1'>
|
||||
|
||||
* Tables of data in a database are found under *Database > Schemas > Tables*
|
||||
* Inspect and edit data in pgAdmin by right-clicking a table and selecting _View/Edit Data_
|
||||
|
||||
</div>
|
||||
<div markdown='1'>
|
||||
|
||||

|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
---
|
||||
|
||||
<div class='columns' markdown='1'>
|
||||
<div markdown='1'>
|
||||
|
||||
* Individual values in the table can be directly modified by double clicking the value and then editing the value in the visual user interface
|
||||
* Save the changes by pressing the _Save Data Changes_ button
|
||||
|
||||
</div>
|
||||
<div markdown='1' class='centered'>
|
||||
|
||||

|
||||

|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
## Exercise 3: Preparing the database
|
||||
<!--_class: "exercise invert" -->
|
||||
|
||||
Using either pgAdmin or psql,
|
||||
|
||||
1) Insert the provided [example query](code-examples/example-query.sql) to the new database
|
||||
2) Verify that the query has created new tables to your database
|
||||
|
||||
## Basic SQL queries
|
||||
|
||||
* `SELECT`
|
||||
* `INSERT`
|
||||
* `DELETE`
|
||||
* `UPDATE`
|
||||
* `CREATE` & `DROP`
|
||||
|
||||
### Querying data with `SELECT`
|
||||
|
||||
* Syntax:
|
||||
```sql
|
||||
SELECT column1, column2, column3 FROM table_name;
|
||||
```
|
||||
* Examples:
|
||||
```sql
|
||||
SELECT full_name, email FROM users;
|
||||
SELECT full_name AS name, email FROM users;
|
||||
SELECT * FROM users;
|
||||
```
|
||||
|
||||
### Filtering data with `WHERE`
|
||||
|
||||
* Syntax:
|
||||
```sql
|
||||
SELECT column1, column2 FROM table_name WHERE condition;
|
||||
```
|
||||
<div class='columns12' markdown='1'>
|
||||
<div markdown='1'>
|
||||
|
||||
* Text is captured in **_single quotes_**.
|
||||
* In a `LIKE` condition, `%` sign acts as a wildcard.
|
||||
* `IS` and `IS NOT` are also valid operators.
|
||||
|
||||
</div>
|
||||
<div markdown='1'>
|
||||
|
||||
* Example:
|
||||
```sql
|
||||
SELECT full_name FROM users
|
||||
WHERE full_name = 'Teppo Testaaja';
|
||||
|
||||
SELECT * FROM books WHERE name LIKE '%rr%';
|
||||
SELECT * FROM books WHERE author IS NOT null;
|
||||
```
|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
### Ordering data with `ORDER BY`
|
||||
|
||||
* Syntax:
|
||||
```sql
|
||||
SELECT column1 FROM table_name ORDER BY column1 ASC;
|
||||
```
|
||||
* Examples:
|
||||
```sql
|
||||
SELECT full_name FROM users
|
||||
ORDER BY full_name ASC;
|
||||
|
||||
SELECT full_name FROM users
|
||||
ORDER BY full_name DESC;
|
||||
```
|
||||
|
||||
### Combining data with `JOIN`
|
||||
|
||||
* Also known as `INNER JOIN`
|
||||
* Corresponds to ***intersection*** from [set theory](https://en.wikipedia.org/wiki/Set_theory)
|
||||
|
||||
<div class='centered'>
|
||||
|
||||

|
||||
|
||||
</div>
|
||||
|
||||
### JOIN examples
|
||||
|
||||
```sql
|
||||
SELECT
|
||||
users.id, users.full_name, borrows.id,
|
||||
borrows.user_id, borrows.due_date, borrows.returned_at
|
||||
FROM users
|
||||
JOIN borrows ON
|
||||
users.id = borrows.user_id;
|
||||
```
|
||||
|
||||
```sql
|
||||
SELECT
|
||||
U.full_name AS name,
|
||||
B.due_date AS due_date,
|
||||
B.returned_at AS returned_at
|
||||
FROM users AS U
|
||||
JOIN borrows AS B ON
|
||||
U.id = B.user_id;
|
||||
```
|
||||
|
||||
### Combining with `LEFT JOIN`
|
||||
|
||||
<div class='columns' markdown='1'>
|
||||
<div markdown='1'>
|
||||
|
||||
* Also known as `LEFT OUTER JOIN`
|
||||
* Example:
|
||||
```sql
|
||||
SELECT
|
||||
U.full_name AS name,
|
||||
B.due_date AS due_date,
|
||||
B.returned_at AS returned_at
|
||||
FROM users AS U
|
||||
LEFT JOIN borrows AS B ON
|
||||
U.id = B.user_id;
|
||||
```
|
||||
|
||||
</div>
|
||||
<div markdown='1'>
|
||||
|
||||

|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
### Exercise 4: Querying the library
|
||||
<!--_class: "exercise invert" -->
|
||||
|
||||
Using SQL queries, get
|
||||
|
||||
1) all columns of loans that are borrowed before `2020-10-27`
|
||||
2) all columns of loans that are returned
|
||||
3) columns `user.full_name` and `borrows.borrowed_at` of the user with an `id` of `1`
|
||||
4) columns `book.name`, `book.release_year` and `language.name` of all books that are released after 1960
|
||||
|
||||
### Inserting data with `INSERT`
|
||||
|
||||
* Syntax
|
||||
```sql
|
||||
INSERT INTO table_name (column1, column2, column3) VALUES (value1, value2, value3);
|
||||
```
|
||||
* Example
|
||||
```sql
|
||||
INSERT INTO users (full_name, email, created_at)
|
||||
VALUES ('Pekka Poistuja', 'pekka.poistuja@buutti.com', NOW());
|
||||
```
|
||||
* Since `id` is not provided, it will be automatically generated.
|
||||
|
||||
### Updating data with `UPDATE`
|
||||
|
||||
* Syntax
|
||||
```sql
|
||||
UPDATE table_name SET column1 = value1, column2 = value2 WHERE condition;
|
||||
```
|
||||
* *__Notice:__* if a condition is not provided, all rows will be updated!
|
||||
* If updating only one row, it is usually best to use `id`.
|
||||
* Example
|
||||
```sql
|
||||
UPDATE users SET email = 'taija.testaaja@gmail.com' WHERE id = 2;
|
||||
```
|
||||
|
||||
## Removing data with `REMOVE`
|
||||
|
||||
* Syntax
|
||||
```sql
|
||||
DELETE FROM table_name WHERE condition;
|
||||
```
|
||||
* Again, if the _condition_ is not provided, `DELETE` affects _all_ rows
|
||||
* Before deleting, it is a good practice to execute an equivalent `SELECT` query to make sure that only the proper rows will be affected.
|
||||
* Example:
|
||||
```sql
|
||||
SELECT * FROM users WHERE id = 5;
|
||||
DELETE FROM users WHERE id = 5;
|
||||
```
|
||||
|
||||
### Exercise 5: Editing data
|
||||
<!--_class: "exercise invert" -->
|
||||
|
||||
1) Postpone the due date of a loan with an `id` of `1` by two days in the `borrows` table
|
||||
2) Add a couple of new books to the `books` table
|
||||
3) Delete one of the loans.
|
||||
|
||||
### Initializing data with `CREATE TABLE`
|
||||
|
||||
* Before data can be manipulated, a database and its tables need to be initialized.
|
||||
|
||||
<div class='columns' markdown='1'>
|
||||
<div markdown='1'>
|
||||
|
||||
* Syntax
|
||||
```sql
|
||||
CREATE TABLE table_name (
|
||||
column1 datatype,
|
||||
column2 datatype,
|
||||
...
|
||||
);
|
||||
```
|
||||
|
||||
</div>
|
||||
<div markdown='1'>
|
||||
|
||||
* Example:
|
||||
```sql
|
||||
CREATE TABLE "users" (
|
||||
"id" SERIAL PRIMARY KEY,
|
||||
"full_name" varchar NOT NULL,
|
||||
"email" varchar UNIQUE NOT NULL,
|
||||
"created_at" timestamp NOT NULL
|
||||
);
|
||||
```
|
||||
|
||||
</div>
|
||||
</div>
|
||||
|
||||
### Removing data with `DROP`
|
||||
|
||||
* In order to remove tables or databases, we use a `DROP` statement
|
||||
```sql
|
||||
DROP TABLE table_name;
|
||||
DROP DATABASE database_name;
|
||||
```
|
||||
* These statements do not ask for confirmation and there is no undo feature. Take care when using a drop statement.
|
||||
|
||||
---
|
||||
|
||||
* I'm legally obliged to include this XKCD comic here.
|
||||
|
||||

|
||||
|
||||
## NoSQL
|
||||
|
||||
* In addition to SQL databases, there's ***NoSQL***
|
||||
* There are many differing definitions, but...
|
||||
* most agree that NoSQL databases store data in a format other than tables
|
||||
* They can still store relational data - just _differently_
|
||||
* Four different database types:
|
||||
* Document databases
|
||||
* Key-value databases
|
||||
* Wide-column stores
|
||||
* Graph databases
|
||||
* Example database engines include [MongoDB](https://www.mongodb.com/), [Redis](https://redis.io/) and [Cassandra](https://cassandra.apache.org/_/index.html)
|
||||
* For more info, see [MongoDB: What is NoSQL?](https://www.mongodb.com/resources/basics/databases/nosql-explained)
|
||||
|
||||
|
||||
## Object-Relational Mappers
|
||||
|
||||
* Object-Relational Mappers, or ORMs allow the developer to write code instead of SQL to perform CRUD operations on their database
|
||||
* An abstraction layer between code and database
|
||||
* Can make database logic easier to read and write
|
||||
* Prevents SQL injection by sanitizing input (see the comic before...)
|
||||
* ...but sometimes you'd rather just write the SQL queries themselves
|
||||
* Some popular ORMs:
|
||||
* Hibernate (Java)
|
||||
* EFCore (.NET)
|
||||
* Sequelize (Node.js)
|
||||
* TypeORM (TypeScript) ([documentation](https://typeorm.io/#installation))
|