# JDBC Auth Provider

We provide an implementation of `AuthenticationProvider` as well as `AuthorizationProvider` which uses the Vert.x `JDBCClient` to perform authentication and authorization against any JDBC compliant database. To use this project, add the following dependency to the dependencies section of your build descriptor:

- Maven (in your `pom.xml`):

    <dependency>
     <groupId>io.vertx</groupId>
     <artifactId>vertx-auth-jdbc</artifactId>
     <version>4.4.3</version>
    </dependency>

- Gradle (in your `build.gradle` file):

    compile 'io.vertx:vertx-auth-jdbc:4.4.3'

To create an instance you first need an instance of `JDBCClient`. To learn how to create one of those please consult the documentation for the JDBC client.

Once you’ve got one of those you can create a `JDBCAuthentication` instance as follows:

    JDBCClient jdbcClient = JDBCClient.createShared(vertx, jdbcClientConfig);
    JDBCAuthenticationOptions options = new JDBCAuthenticationOptions();

    JDBCAuthentication authenticationProvider =
      JDBCAuthentication.create(jdbcClient, options);

Once you’ve got your instance you can authenticate and authorize with it just like any `AuthenticationProvider`.

The out of the box config assumes certain queries for authentication and authorization, these can easily be changed with the operations `setAuthenticationQuery`, `setPermissionsQuery` and `setRolesQuery`, if you want to use them with a different database schema.

The `JDBCHashStrategy` is a required parameter to build an instance of `JDBCAuthorization` The Sha-512 hash strategy assumes that the password is stored in the database as a SHA-512 hash after being concatenated with a salt. It also assumes the salt is stored in the table too.

The basic data definition for the storage should look like this:

    --
    -- Take this script with a grain of salt and adapt it to your RDBMS
    --
    CREATE TABLE `user` (
     `username` VARCHAR(255) NOT NULL,
     `password` VARCHAR(255) NOT NULL
    );

    CREATE TABLE `user_roles` (
     `username` VARCHAR(255) NOT NULL,
     `role` VARCHAR(255) NOT NULL
    );

    CREATE TABLE `roles_perms` (
     `role` VARCHAR(255) NOT NULL,
     `perm` VARCHAR(255) NOT NULL
    );

    ALTER TABLE user ADD CONSTRAINT `pk_username` PRIMARY KEY (username);
    ALTER TABLE user_roles ADD CONSTRAINT `pk_user_roles` PRIMARY KEY (username, role);
    ALTER TABLE roles_perms ADD CONSTRAINT `pk_roles_perms` PRIMARY KEY (role, perm);

    ALTER TABLE user_roles ADD CONSTRAINT fk_username FOREIGN KEY (username) REFERENCES user(username);

## Hashing Strategy

The provider uses the PHC string format to hash password. In the past releases this wasn’t the rule. In order to keep backward compatibility a authentication provider can be created with a legacy hashing strategy. It is highly recommended to avoid this, and upgrade the user hashes to the new format (by requesting the user to renew the password for example).

THe legacy hashing strategy can be used on the deprecated factory method of JDBCAuthentication `JDBCAuthentication.create` You have the choice between SHA-512 or PBKDF2. Note that as of 2018-01-08 OWASP recommends the usage of stronger algorithms, for this case you can use the PBKDF2 strategy (OWASP recommendation).

Warning | If you already have a running legacy application switching the strategies will break your existing passwords. The new format will not for suffer from this.

Warning | It is advised to always store your passwords as hashes in your database tables which have been created with a salt which should be stored in the row too. A strong hashing algorithm should be used. It is strongly advised never to store your passwords as plain text.

## Vertx Auth JDBC and GDPR

GDPR is a regulation from the common European Union law. It overrides/supercedes national data protection laws and extents the previously existing directives. This section of the manual is by no means a thorough walkthrough of the regulation, it is just a small summary how this component adheres to the requirements. Companies not adhering to the requirements can be fined on 4% of the turnover or 20 million euro. Therefore we want to make sure that as a user of Vert.x Auth JDBC you’re are on the good track to comply.

The law defines certain terminology:

- Data Subject - Person whose personal data is processed (e.g.: User)

- Personal Data - Any data about an identifiable or identified person

- Data Processing - Any operation (manual or automated) on personal data

- Controller - The entity (company) that requests and uses the data

- Processors - Any entity that processes data on behalf of a controller (e.g.: cloud service provider)

GDPR defines the following functionality:

- "Forget me" - Right to erasure

- Mark profile as restricted - Right to restriction of processing

- Export data - Right to portability

- Allow profile editing - Right to rectification

- See all my data - Right to access

- Consent checkboxes

- Age checks

- Data destruction - Data minimization principle

This module complies to the GDPR law by not storing any identifiable information about a data subject. The only reference is the username which is not linked to any personal data.

In order to add personal data to your application you should create your own data schema and use the username column as a foreign key to your data. As a tip you should have a boolean flag to mark the personal data as restricted to comply to the right to restriction of processing which means that if you need to handle the data, e.g.: send a bulk email from a mailing list you are not allowed to do so if the flag is true.

The right to erasure does not mean that you must wipe all records from your application, e.g.: in a bank this right cannot be used to erase a running loan or debt. You are allowed to keep your application data but must erase the personal data. In case of Vert.x Auth JDBC you should delete your table but can still use a foreign key to the username as long as is not possible to link the username to the personal data.

Important note is that this must survive backups! As a tip backup the data, and data erasure on different archives so they can be replayed individually.

## Hashing passwords

Like any application there will be a time where you need to store new users into the database. Has you have learn passwords are not stored in plain text but hashed according to the hashing strategy. The same strategy is required to hash new password before storing it to the database. Doing it is a 3 step task.

1. Generate a salt string

2. Hash the password given the salt string

3. Store it to the database

    String hash = jdbcAuth.hash(
      "pbkdf2", // hashing algorithm
      VertxContextPRNG.current().nextString(32), // secure random salt
      "sausages" // password
    );
    // save to the database
    conn.updateWithParams(
      "INSERT INTO user (username, password) VALUES (?, ?)",
      new JsonArray().add("tim").add(hash), res -> {
      if (res.succeeded()) {
        // success!
      }
    });

## Authentication

When authenticating using this implementation, it assumes `username` and `password` fields are present in the authentication info:

    JsonObject authInfo = new JsonObject()
      .put("username", "tim")
      .put("password", "sausages");

    authProvider.authenticate(authInfo)
      .onSuccess(user -> {
        System.out.println("User: " + user.principal());
      })
      .onFailure(err -> {
        // Failed!
      });

## Authorisation - Permission-Role Model

Although Vert.x auth itself does not mandate any specific model of permissions (they are just opaque strings), this implementation assumes a familiar user/role/permission model, where a user can have zero or more roles and a role can have zero or more permissions.

If validating if a user has a particular permission simply match the user against a given permission as follows:

    jdbcAuthZ.getAuthorizations(user)
      .onSuccess(v -> {
        if (PermissionBasedAuthorization.create("commit_code").match(user)) {
          // Has permission!
        }
      });