图形验证码如何解决集群中使用问题
Posted 森林木马
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刚才写了一篇文章关于图形验证码的,感觉没有考虑集群情况。其实集群无非加一个集群缓存 将session换成redis或者memcache。
今天记录一下 使用 redis做集群图形验证码的相关方案。
基于文章:
http://www.cnblogs.com/owenma/p/7375540.html
添加redis:
在获取和存储的地方使用的是redis封装好的cacheManager。
@RequestMapping(value = "/getKaptchaImage", method = RequestMethod.GET) public ModelAndView getImage(HttpServletRequest request, HttpServletResponse response) throws Exception{ HttpSession session = request.getSession(); Cache<String, String> kaptcha = cacheManager.getCache("kaptcha"); String code = kaptcha.get(Constants.KAPTCHA_SESSION_KEY); System.out.println("******************验证码是: " + code + "******************"); Producer captchaProducer = (Producer)SpringContextUtils.getBean("captchaProducer"); response.setDateHeader("Expires", 0); // Set standard HTTP/1.1 no-cache headers. response.setHeader("Cache-Control", "no-store, no-cache, must-revalidate"); // Set IE extended HTTP/1.1 no-cache headers (use addHeader). response.addHeader("Cache-Control", "post-check=0, pre-check=0"); // Set standard HTTP/1.0 no-cache header. response.setHeader("Pragma", "no-cache"); // return a jpeg response.setContentType("image/jpeg"); // create the text for the image String capText = captchaProducer.createText(); // store the text in the session session.setAttribute(Constants.KAPTCHA_SESSION_KEY, capText); kaptcha.put(Constants.KAPTCHA_SESSION_KEY, capText); // create the image with the text BufferedImage bi = captchaProducer.createImage(capText); ServletOutputStream out = response.getOutputStream(); // write the data out ImageIO.write(bi, "jpg", out); try { out.flush(); } finally { out.close(); } return null; } @RequestMapping(value = "/checkKaptchaImage", method = RequestMethod.POST) public @ResponseBody Map<String, String> checkKaptchaImage(HttpServletRequest request, HttpServletResponse response) throws Exception{ Map<String, String> returnMap = new HashMap<>(); Cache<String, String> kaptcha = cacheManager.getCache("kaptcha"); //从session中取出servlet生成的验证码text值 String kaptchaExpected = kaptcha.get(Constants.KAPTCHA_SESSION_KEY); //获取用户页面输入的验证码 String kaptchaReceived = request.getParameter("kaptcha"); //校验验证码是否正确 returnMap.put("code", "100"); if (kaptchaExpected == null){ returnMap.put("status", "expire"); return returnMap; } if (!kaptchaReceived.equalsIgnoreCase(kaptchaExpected)){ returnMap.put("status", "false"); return returnMap; } returnMap.put("status", "true"); return returnMap; }
2. cacheManager代码
package com.nc.shiro.cache; import java.io.File; import java.io.FileInputStream; import java.io.IOException; import java.util.Properties; import java.util.concurrent.ConcurrentHashMap; import java.util.concurrent.ConcurrentMap; import org.apache.shiro.cache.Cache; import org.apache.shiro.cache.CacheException; import org.apache.shiro.cache.CacheManager; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.data.redis.connection.RedisConnectionFactory; import org.springframework.data.redis.connection.jedis.JedisConnectionFactory; public class RedisCacheManager implements CacheManager { private static final Logger logger = LoggerFactory .getLogger(RedisCacheManager.class); @Autowired private JedisConnectionFactory connectionFactory; private static RedisRealOPT redisRealOPT; // fast lookup by name map private final ConcurrentMap<String, Cache> caches = new ConcurrentHashMap<String, Cache>(); /** * The Redis key prefix for caches */ private String keyPrefix = "shiro_redis_cache:"; /** * Returns the Redis session keys * prefix. * @return The prefix */ public String getKeyPrefix() { return keyPrefix; } /** * Sets the Redis sessions key * prefix. * @param keyPrefix The prefix */ public void setKeyPrefix(String keyPrefix) { this.keyPrefix = keyPrefix; } @Override public <K, V> Cache<K, V> getCache(String name) throws CacheException { logger.debug("获取名称为: " + name + " 的RedisCache实例"); Cache c = caches.get(name); if (c == null) { redisRealOPT = new RedisRealOPT(); redisRealOPT.setJedis(connectionFactory.getShardInfo().createResource()); redisRealOPT.setExpire(getTTL(name)); keyPrefix = name + ":"; // create a new cache instance c = new RedisCache<K, V>(redisRealOPT, keyPrefix); // add it to the cache collection caches.put(name, c); } // else { // ((RedisCache) c).getCache().setJedis(connectionFactory.getShardInfo().createResource()); // } return c; } public JedisConnectionFactory getConnectionFactory() { return connectionFactory; } public void setConnectionFactory(JedisConnectionFactory connectionFactory) { this.connectionFactory = connectionFactory; } private int getTTL(String name){ //获得路径 File classPath = new File(this.getClass().getResource("/").getPath()); File properties = new File(classPath.getPath() + "/cacheManager.properties"); Properties prop = new Properties(); try { prop.load(new FileInputStream(properties)); String propertyNames = prop.stringPropertyNames().toString(); if (propertyNames.contains(name)){ String value = prop.getProperty(name).trim(); return Integer.parseInt(value); } } catch (Exception e) { e.printStackTrace(); } return 0; } }
如果觉得有疑问或者对你有帮助 欢迎评论。
作者:森林木马
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