使用JDBC的安全性
本指南展示了你的Quarkus应用程序如何使用数据库来存储你的用户身份。
先决条件
完成这个指南，你需要:
-
大概15分钟
-
编辑器
-
JDK 17+ installed with
JAVA_HOMEconfigured appropriately -
Apache Maven 3.9.6
-
如果你愿意的话，还可以选择使用Quarkus CLI
-
如果你想构建原生可执行程序，可以选择安装Mandrel或者GraalVM，并正确配置(或者使用Docker在容器中进行构建)
应用结构
In this example, we build a very simple microservice which offers three endpoints:
-
/api/public -
/api/users/me -
/api/admin
The /api/public endpoint can be accessed anonymously.
The /api/admin endpoint is protected with RBAC (Role-Based Access Control) where only users granted with the admin role can access. At this endpoint, we use the @RolesAllowed annotation to declaratively enforce the access constraint.
The /api/users/me endpoint is also protected with RBAC (Role-Based Access Control) where only users granted with the user role can access. As a response, it returns a JSON document with details about the user.
解决方案
我们建议您按照下一节的说明逐步创建应用程序。然而，您可以直接转到已完成的示例。
克隆 Git 仓库: git clone https://github.com/quarkusio/quarkus-quickstarts.git ，或下载一个 存档 。
The solution is located in the security-jdbc-quickstart directory.
创建Maven项目
首先，我们需要一个新的工程项目。用以下命令创建一个新项目：
For Windows users:
-
If using cmd, (don’t use backward slash
\and put everything on the same line) -
If using Powershell, wrap
-Dparameters in double quotes e.g."-DprojectArtifactId=security-jdbc-quickstart"
|
Don’t forget to add the database connector library of choice. Here we are using PostgreSQL as identity store. |
This command generates a new project, importing the elytron-security-jdbc extension
which is an wildfly-elytron-realm-jdbc adapter for Quarkus applications.
If you already have your Quarkus project configured, you can add the elytron-security-jdbc extension
to your project by running the following command in your project base directory:
quarkus extension add elytron-security-jdbc./mvnw quarkus:add-extension -Dextensions='elytron-security-jdbc'./gradlew addExtension --extensions='elytron-security-jdbc'这会将以下内容添加到你的构建文件中:
<dependency>
<groupId>io.quarkus</groupId>
<artifactId>quarkus-elytron-security-jdbc</artifactId>
</dependency>implementation("io.quarkus:quarkus-elytron-security-jdbc")编写应用程序
Let’s start by implementing the /api/public endpoint. As you can see from the source code below, it is just a regular Jakarta REST resource:
package org.acme.security.jdbc;
import jakarta.annotation.security.PermitAll;
import jakarta.ws.rs.GET;
import jakarta.ws.rs.Path;
import jakarta.ws.rs.Produces;
import jakarta.ws.rs.core.MediaType;
@Path("/api/public")
public class PublicResource {
@GET
@PermitAll
@Produces(MediaType.TEXT_PLAIN)
public String publicResource() {
return "public";
}
}端点 /api/admin 的源代码也非常简单。这里的主要区别是，我们使用 @RolesAllowed 注解来确保只有被授予 admin 角色的用户才能访问该端点：
package org.acme.security.jdbc;
import jakarta.annotation.security.RolesAllowed;
import jakarta.ws.rs.GET;
import jakarta.ws.rs.Path;
import jakarta.ws.rs.Produces;
import jakarta.ws.rs.core.MediaType;
@Path("/api/admin")
public class AdminResource {
@GET
@RolesAllowed("admin")
@Produces(MediaType.TEXT_PLAIN)
public String adminResource() {
return "admin";
}
}Finally, let’s consider the /api/users/me endpoint. As you can see from the source code below, we are trusting only users with the user role.
We are using SecurityContext to get access to the current authenticated Principal, and we return the user’s name. This information is loaded from the database.
package org.acme.security.jdbc;
import jakarta.annotation.security.RolesAllowed;
import jakarta.inject.Inject;
import jakarta.ws.rs.GET;
import jakarta.ws.rs.Path;
import jakarta.ws.rs.core.Context;
import jakarta.ws.rs.core.SecurityContext;
@Path("/api/users")
public class UserResource {
@GET
@RolesAllowed("user")
@Path("/me")
public String me(@Context SecurityContext securityContext) {
return securityContext.getUserPrincipal().getName();
}
}Configuring the Application
The elytron-security-jdbc extension requires at least one datasource to access to your database.
quarkus.datasource.db-kind=postgresql
quarkus.datasource.username=quarkus
quarkus.datasource.password=quarkus
quarkus.datasource.jdbc.url=jdbc:postgresql:elytron-security-jdbcIn our context, we are using PostgreSQL as identity store, and we initialize the database with users and roles.
We will use the salted and hashed version of password as a password in this example.
We can use the BcryptUtil class to generate passwords in the Modular Crypt Format (MCF).
CREATE TABLE test_user (
id INT,
username VARCHAR(255),
password VARCHAR(255),
role VARCHAR(255)
);
INSERT INTO test_user (id, username, password, role) VALUES (1, 'admin', '$2a$10$Uc.SZ0hvGJQlYdsAp7be1.lFjmOnc7aAr4L0YY3/VN3oK.F8zJHRG', 'admin');
INSERT INTO test_user (id, username, password, role) VALUES (2, 'user','$2a$10$Uc.SZ0hvGJQlYdsAp7be1.lFjmOnc7aAr4L0YY3/VN3oK.F8zJHRG', 'user');When signing up new users, we can encrypt their password as follows:
package org.acme.security.jdbc;
import io.quarkus.elytron.security.common.BcryptUtil;
public class AccountService {
public void signupUser(String username, String password) {
String encryptedPassword = BcryptUtil.bcryptHash(password);
// store user with the encrypted password in the database
}
}We can now configure the Elytron JDBC Realm.
quarkus.security.jdbc.enabled=true
quarkus.security.jdbc.principal-query.sql=SELECT u.password, u.role FROM test_user u WHERE u.username=? (1)
quarkus.security.jdbc.principal-query.bcrypt-password-mapper.enabled=true (2)
quarkus.security.jdbc.principal-query.bcrypt-password-mapper.password-index=1
quarkus.security.jdbc.principal-query.bcrypt-password-mapper.salt-index=-1
quarkus.security.jdbc.principal-query.bcrypt-password-mapper.iteration-count-index=-1
quarkus.security.jdbc.principal-query.attribute-mappings.0.index=2 (3)
quarkus.security.jdbc.principal-query.attribute-mappings.0.to=groupsThe elytron-security-jdbc extension requires at least one principal query to authenticate the user and its identity.
| 1 | We define a parameterized SQL statement (with exactly 1 parameter) which should return the user’s password plus any additional information you want to load. |
| 2 | We configure the password mapper with the position of the password field in the SELECT fields and other information like salt, hash encoding, etc. Setting the salt and iteration count indexes to -1 is required for MCF. |
| 3 | We use attribute-mappings to bind the SELECT projection fields (i.e. u.role here) to the target Principal representation attributes. |
|
In the |
测试应用程序
The application is now protected and the identities are provided by our database. The very first thing to check is to ensure the anonymous access works.
$ curl -i -X GET http://localhost:8080/api/public
HTTP/1.1 200 OK
Content-Length: 6
Content-Type: text/plain;charset=UTF-8
public%Now, let’s try to hit a protected resource anonymously.
$ curl -i -X GET http://localhost:8080/api/admin
HTTP/1.1 401 Unauthorized
Content-Length: 14
Content-Type: text/html;charset=UTF-8
Not authorized%So far so good, now let’s try with an allowed user.
$ curl -i -X GET -u admin:password http://localhost:8080/api/admin
HTTP/1.1 200 OK
Content-Length: 5
Content-Type: text/plain;charset=UTF-8
admin%By providing the admin:password credentials, the extension authenticated the user and loaded their roles.
The admin user is authorized to access to the protected resources.
The user admin should be forbidden to access a resource protected with @RolesAllowed("user") because it doesn’t have this role.
$ curl -i -X GET -u admin:password http://localhost:8080/api/users/me
HTTP/1.1 403 Forbidden
Content-Length: 34
Content-Type: text/html;charset=UTF-8
Forbidden%Finally, using the user user works and the security context contains the principal details (username for instance).
$ curl -i -X GET -u user:password http://localhost:8080/api/users/me
HTTP/1.1 200 OK
Content-Length: 4
Content-Type: text/plain;charset=UTF-8
user%Advanced Configuration
This guide only covered an easy use case, the extension offers multiple datasources, multiple principal queries configuration as well as a bcrypt password mapper.
quarkus.datasource.db-kind=postgresql
quarkus.datasource.username=quarkus
quarkus.datasource.password=quarkus
quarkus.datasource.jdbc.url=jdbc:postgresql:multiple-data-sources-users
quarkus.datasource.permissions.db-kind=postgresql
quarkus.datasource.permissions.username=quarkus
quarkus.datasource.permissions.password=quarkus
quarkus.datasource.permissions.jdbc.url=jdbc:postgresql:multiple-data-sources-permissions
quarkus.security.jdbc.enabled=true
quarkus.security.jdbc.principal-query.sql=SELECT u.password FROM test_user u WHERE u.username=?
quarkus.security.jdbc.principal-query.bcrypt-password-mapper.enabled=true
quarkus.security.jdbc.principal-query.bcrypt-password-mapper.password-index=1
quarkus.security.jdbc.principal-query.bcrypt-password-mapper.salt-index=-1
quarkus.security.jdbc.principal-query.bcrypt-password-mapper.iteration-count-index=-1
quarkus.security.jdbc.principal-query.roles.sql=SELECT r.role_name FROM test_role r, test_user_role ur WHERE ur.username=? AND ur.role_id = r.id
quarkus.security.jdbc.principal-query.roles.datasource=permissions
quarkus.security.jdbc.principal-query.roles.attribute-mappings.0.index=1
quarkus.security.jdbc.principal-query.roles.attribute-mappings.0.to=groups配置参考
Configuration property fixed at build time - All other configuration properties are overridable at runtime
类型 |
默认 |
|
|---|---|---|
The realm name Environment variable: Show more |
string |
|
If the properties store is enabled. Environment variable: Show more |
boolean |
|
The sql query to find the password Environment variable: Show more |
string |
|
The data source to use Environment variable: Show more |
string |
|
If the clear-password-mapper is enabled. Environment variable: Show more |
boolean |
|
The index (1 based numbering) of the column containing the clear password Environment variable: Show more |
int |
|
If the bcrypt-password-mapper is enabled. Environment variable: Show more |
boolean |
|
The index (1 based numbering) of the column containing the password hash Environment variable: Show more |
int |
|
A string referencing the password hash encoding ("BASE64" or "HEX") Environment variable: Show more |
|
|
The index (1 based numbering) of the column containing the Bcrypt salt Environment variable: Show more |
int |
|
A string referencing the salt encoding ("BASE64" or "HEX") Environment variable: Show more |
|
|
The index (1 based numbering) of the column containing the Bcrypt iteration count Environment variable: Show more |
int |
|
The index (1 based numbering) of column to map Environment variable: Show more |
int |
|
The target attribute name Environment variable: Show more |
string |
required |
The sql query to find the password Environment variable: Show more |
string |
|
The data source to use Environment variable: Show more |
string |
|
The index (1 based numbering) of column to map Environment variable: Show more |
int |
|
The target attribute name Environment variable: Show more |
string |
required |
If the clear-password-mapper is enabled. Environment variable: Show more |
boolean |
|
The index (1 based numbering) of the column containing the clear password Environment variable: Show more |
int |
|
If the bcrypt-password-mapper is enabled. Environment variable: Show more |
boolean |
|
The index (1 based numbering) of the column containing the password hash Environment variable: Show more |
int |
|
A string referencing the password hash encoding ("BASE64" or "HEX") Environment variable: Show more |
|
|
The index (1 based numbering) of the column containing the Bcrypt salt Environment variable: Show more |
int |
|
A string referencing the salt encoding ("BASE64" or "HEX") Environment variable: Show more |
|
|
The index (1 based numbering) of the column containing the Bcrypt iteration count Environment variable: Show more |
int |
|
