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Spring Boot Security 整合 JWT 实现 无状态的分布式API接口

文章首发于公众号《程序员果果》地址:https://mp.weixin.qq.com/s/QO5L1-RCR-jmIuHlZIfkqQ 简介 JSON Web Token(缩写 JWT)是目前最流行的跨域认证解决方案。JSON Web Token 入门教程 - 阮一峰,这篇文章可以帮你了解JWT的概念。本文重点讲解Spring Boot 结合 jwt ,来实现前后端分离中,接口的安全调用。 快速上手 之前的文章已经对 Spring Security 进行了讲解,这一节对涉及到 Spring Security 的配置不详细讲解。若不了解 Spring Security 先移步到 Spring Boot Security 详解。 建表 DROP TABLE IF EXISTS `user`; DROP TABLE IF EXISTS `role`; DROP TABLE IF EXISTS `user_role`; DROP TABLE IF EXISTS `role_permission`; DROP TABLE IF EXISTS `permission`; CREATE TABLE `user` ( `id` bigint(11) NOT NULL AUTO_INCREMENT, `username` varchar(255) NOT NULL, `password` varchar(255) NOT NULL, PRIMARY KEY (`id`) ); CREATE TABLE `role` ( `id` bigint(11) NOT NULL AUTO_INCREMENT, `name` varchar(255) NOT NULL, PRIMARY KEY (`id`) ); CREATE TABLE `user_role` ( `user_id` bigint(11) NOT NULL, `role_id` bigint(11) NOT NULL ); CREATE TABLE `role_permission` ( `role_id` bigint(11) NOT NULL, `permission_id` bigint(11) NOT NULL ); CREATE TABLE `permission` ( `id` bigint(11) NOT NULL AUTO_INCREMENT, `url` varchar(255) NOT NULL, `name` varchar(255) NOT NULL, `description` varchar(255) NULL, `pid` bigint(11) NOT NULL, PRIMARY KEY (`id`) ); INSERT INTO user (id, username, password) VALUES (1,'user','e10adc3949ba59abbe56e057f20f883e'); INSERT INTO user (id, username , password) VALUES (2,'admin','e10adc3949ba59abbe56e057f20f883e'); INSERT INTO role (id, name) VALUES (1,'USER'); INSERT INTO role (id, name) VALUES (2,'ADMIN'); INSERT INTO permission (id, url, name, pid) VALUES (1,'/user/hi','',0); INSERT INTO permission (id, url, name, pid) VALUES (2,'/admin/hi','',0); INSERT INTO user_role (user_id, role_id) VALUES (1, 1); INSERT INTO user_role (user_id, role_id) VALUES (2, 1); INSERT INTO user_role (user_id, role_id) VALUES (2, 2); INSERT INTO role_permission (role_id, permission_id) VALUES (1, 1); INSERT INTO role_permission (role_id, permission_id) VALUES (2, 1); INSERT INTO role_permission (role_id, permission_id) VALUES (2, 2); 项目结构 resources |___application.yml java |___com | |____gf | | |____SpringbootJwtApplication.java | | |____config | | | |____.DS_Store | | | |____SecurityConfig.java | | | |____MyFilterSecurityInterceptor.java | | | |____MyInvocationSecurityMetadataSourceService.java | | | |____MyAccessDecisionManager.java | | |____entity | | | |____User.java | | | |____RolePermisson.java | | | |____Role.java | | |____mapper | | | |____PermissionMapper.java | | | |____UserMapper.java | | | |____RoleMapper.java | | |____utils | | | |____JwtTokenUtil.java | | |____controller | | | |____AuthController.java | | |____filter | | | |____JwtTokenFilter.java | | |____service | | | |____impl | | | | |____AuthServiceImpl.java | | | | |____UserDetailsServiceImpl.java | | | |____AuthService.java 关键代码 pom.xml <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-security</artifactId> </dependency> <dependency> <groupId>io.jsonwebtoken</groupId> <artifactId>jjwt</artifactId> <version>0.9.0</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <scope>runtime</scope> </dependency> <dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>2.0.0</version> </dependency> application.yml spring: datasource: driver-class-name: com.mysql.cj.jdbc.Driver url: jdbc:mysql://localhost:3306/spring-security-jwt?useUnicode=true&characterEncoding=utf-8&useSSL=false username: root password: root SecurityConfig @Configuration @EnableWebSecurity public class SecurityConfig extends WebSecurityConfigurerAdapter { @Autowired private UserDetailsService userDetailsService; @Autowired public void configureGlobal(AuthenticationManagerBuilder auth) throws Exception { //校验用户 auth.userDetailsService( userDetailsService ).passwordEncoder( new PasswordEncoder() { //对密码进行加密 @Override public String encode(CharSequence charSequence) { System.out.println(charSequence.toString()); return DigestUtils.md5DigestAsHex(charSequence.toString().getBytes()); } //对密码进行判断匹配 @Override public boolean matches(CharSequence charSequence, String s) { String encode = DigestUtils.md5DigestAsHex(charSequence.toString().getBytes()); boolean res = s.equals( encode ); return res; } } ); } @Override protected void configure(HttpSecurity http) throws Exception { http.csrf().disable() //因为使用JWT,所以不需要HttpSession .sessionManagement().sessionCreationPolicy( SessionCreationPolicy.STATELESS).and() .authorizeRequests() //OPTIONS请求全部放行 .antMatchers( HttpMethod.OPTIONS, "/**").permitAll() //登录接口放行 .antMatchers("/auth/login").permitAll() //其他接口全部接受验证 .anyRequest().authenticated(); //使用自定义的 Token过滤器 验证请求的Token是否合法 http.addFilterBefore(authenticationTokenFilterBean(), UsernamePasswordAuthenticationFilter.class); http.headers().cacheControl(); } @Bean public JwtTokenFilter authenticationTokenFilterBean() throws Exception { return new JwtTokenFilter(); } @Bean @Override public AuthenticationManager authenticationManagerBean() throws Exception { return super.authenticationManagerBean(); } } JwtTokenUtil /** * JWT 工具类 */ @Component public class JwtTokenUtil implements Serializable { private static final String CLAIM_KEY_USERNAME = "sub"; /** * 5天(毫秒) */ private static final long EXPIRATION_TIME = 432000000; /** * JWT密码 */ private static final String SECRET = "secret"; /** * 签发JWT */ public String generateToken(UserDetails userDetails) { Map<String, Object> claims = new HashMap<>(16); claims.put( CLAIM_KEY_USERNAME, userDetails.getUsername() ); return Jwts.builder() .setClaims( claims ) .setExpiration( new Date( Instant.now().toEpochMilli() + EXPIRATION_TIME ) ) .signWith( SignatureAlgorithm.HS512, SECRET ) .compact(); } /** * 验证JWT */ public Boolean validateToken(String token, UserDetails userDetails) { User user = (User) userDetails; String username = getUsernameFromToken( token ); return (username.equals( user.getUsername() ) && !isTokenExpired( token )); } /** * 获取token是否过期 */ public Boolean isTokenExpired(String token) { Date expiration = getExpirationDateFromToken( token ); return expiration.before( new Date() ); } /** * 根据token获取username */ public String getUsernameFromToken(String token) { String username = getClaimsFromToken( token ).getSubject(); return username; } /** * 获取token的过期时间 */ public Date getExpirationDateFromToken(String token) { Date expiration = getClaimsFromToken( token ).getExpiration(); return expiration; } /** * 解析JWT */ private Claims getClaimsFromToken(String token) { Claims claims = Jwts.parser() .setSigningKey( SECRET ) .parseClaimsJws( token ) .getBody(); return claims; } } JwtTokenFilter @Component public class JwtTokenFilter extends OncePerRequestFilter { @Autowired private UserDetailsService userDetailsService; @Autowired private JwtTokenUtil jwtTokenUtil; /** * 存放Token的Header Key */ public static final String HEADER_STRING = "Authorization"; @Override protected void doFilterInternal(HttpServletRequest request, HttpServletResponse response, FilterChain chain) throws ServletException, IOException { String token = request.getHeader( HEADER_STRING ); if (null != token) { String username = jwtTokenUtil.getUsernameFromToken(token); if (username != null && SecurityContextHolder.getContext().getAuthentication() == null) { UserDetails userDetails = this.userDetailsService.loadUserByUsername(username); if (jwtTokenUtil.validateToken(token, userDetails)) { UsernamePasswordAuthenticationToken authentication = new UsernamePasswordAuthenticationToken( userDetails, null, userDetails.getAuthorities()); authentication.setDetails(new WebAuthenticationDetailsSource().buildDetails( request)); SecurityContextHolder.getContext().setAuthentication(authentication); } } } chain.doFilter(request, response); } } AuthServiceImpl @Service public class AuthServiceImpl implements AuthService { @Autowired private AuthenticationManager authenticationManager; @Autowired private UserDetailsService userDetailsService; @Autowired private JwtTokenUtil jwtTokenUtil; @Override public String login(String username, String password) { UsernamePasswordAuthenticationToken upToken = new UsernamePasswordAuthenticationToken( username, password ); Authentication authentication = authenticationManager.authenticate(upToken); SecurityContextHolder.getContext().setAuthentication(authentication); UserDetails userDetails = userDetailsService.loadUserByUsername( username ); String token = jwtTokenUtil.generateToken(userDetails); return token; } } 关键代码就是这些,其他类代码参照后面提供的源码地址。 验证 登录,获取token curl -X POST -d "username=admin&password=123456" http://127.0.0.1:8080/auth/login 返回 eyJhbGciOiJIUzUxMiJ9.eyJzdWIiOiJhZG1pbiIsImV4cCI6MTU1NDQ1MzUwMX0.sglVeqnDGUL9pH1oP3Lh9XrdzJIS42VKBApd2nPJt7e1TKhCEY7AUfIXnzG9vc885_jTq4-h8R6YCtRRJzl8fQ 不带token访问资源 curl -X POST -d "name=zhangsan" http://127.0.0.1:8080/admin/hi 返回,拒绝访问 { "timestamp": "2019-03-31T08:50:55.894+0000", "status": 403, "error": "Forbidden", "message": "Access Denied", "path": "/auth/login" } 携带token访问资源 curl -X POST -H "Authorization: eyJhbGciOiJIUzUxMiJ9.eyJzdWIiOiJhZG1pbiIsImV4cCI6MTU1NDQ1MzUwMX0.sglVeqnDGUL9pH1oP3Lh9XrdzJIS42VKBApd2nPJt7e1TKhCEY7AUfIXnzG9vc885_jTq4-h8R6YCtRRJzl8fQ" -d "name=zhangsan" http://127.0.0.1:8080/admin/hi 返回正确 hi zhangsan , you have 'admin' role 源码 https://github.com/gf-huanchupk/SpringBootLearning/tree/master/springboot-jwt

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Elasticsearch压缩索引——lucene倒排索引本质是列存储+使用嵌套文档可以大幅度提高压缩率

注意:由于是重复数据,词法不具有通用性!文章价值不大! 摘自:https://segmentfault.com/a/1190000002695169 Doc Values 会压缩存储重复的内容。给定这样一个简单的 mapping mappings = { 'testdata': { '_source': {'enabled': False}, '_all': {'enabled': False}, 'properties': { 'name': { 'type': 'string', 'index': 'no', 'store': False, 'dynamic': 'strict', 'fielddata': {'format': 'doc_values'} } } } } 插入100万行随机的重复值 words = ['hello', 'world', 'there', 'here'] def read_test_data_in_batches(): batch = [] for i in range(10000 * 100): if i % 50000 == 0: print(i) if len(batch) > 10000: yield batch batch = [] batch.append({ '_index': 'wentao-test-doc-values', '_type': 'testdata', '_source': {'name': random.choice(words)} }) print(i) yield batch 磁盘占用是 size: 28.5Mi (28.5Mi) docs: 1,000,000 (1,000,000) 把每个word搞长一些,同样是插入100万行 words = ['hello' * 100, 'world' * 100, 'there' * 100, 'here' * 100] def read_test_data_in_batches(): batch = [] for i in range(10000 * 100): if i % 50000 == 0: print(i) if len(batch) > 10000: yield batch batch = [] batch.append({ '_index': 'wentao-test-doc-values', '_type': 'testdata', '_source': {'name': random.choice(words)} }) print(i) yield batch 磁盘占用不升反降 size: 14.4Mi (14.4Mi) docs: 1,000,000 (1,000,000) 这说明了lucene在底层用列式存储这些字符串的时候是做了压缩的。这个要是在某个商业列式数据库里,就这么点优化都是要大书特书的dictionary encoding优化云云。 Nested Document 实验表明把一堆小文档打包成一个大文档的nested document可以压缩存储空间。把前面的mapping改成这样: mappings = { 'testdata': { '_source': {'enabled': False}, '_all': {'enabled': False}, 'properties': { 'children': { 'type': 'nested', 'properties': { 'name': { 'type': 'string', 'index': 'no', 'store': False, 'dynamic': 'strict', 'fielddata': {'format': 'doc_values'} } } } } } } 还是插入100万行,但是每一千行打包成一个大文档 words = ['hello', 'world', 'there', 'here'] def read_test_data_in_batches(): batch = [] for i in range(10000 * 100): if i % 50000 == 0: print(i) if len(batch) > 1000: yield [{ '_index': 'wentao-test-doc-values2', '_type': 'testdata', '_source': {'children': batch} }] batch = [] batch.append({'name': random.choice(words)}) print(i) yield [{ '_index': 'wentao-test-doc-values2', '_type': 'testdata', '_source': {'children': batch} }] 磁盘占用是 size: 2.47Mi (2.47Mi) docs: 1,001,000 (1,001,000) 文档数没有变小,但是磁盘空间仅仅占用了2.47M。这个应该受益于lucene内部对于嵌套文档的存储优化。 本文转自张昺华-sky博客园博客,原文链接:http://www.cnblogs.com/bonelee/p/6269604.html,如需转载请自行联系原作者

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