directory
introduce
Implementation scheme
Redis configuration scheme
The Java configuration
Java verification listener implementation scheme
Redis user token, data storage scheme
Redis uitl class
Data verification scheme
If some path address requests are found, verify the address permissions
introduce
In order to support the increasing number of service users, the design of distributed cluster, login and verification of login tokens in the cluster, is an important matter.
In order to achieve fast, stable and convenient service, the so-called increase in machine cost than increase in development costs to consider first, so the design of the following scheme
Implementation scheme
1. Use Redis to store login tokens and user permission information
2. You can put something else if you need it, depending on the business
3. Also more business needs, to fast or other ideas can be pure put ordinary things
4. Sometimes some systems do not consider permissions for ordinary users at all, let alone add permissions
Redis configuration scheme
1. Redis allows access from multiple IP addresses
2. This allows multiple services to access it
3. Configure AOF persistence to save data
The Java configuration
# -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- integrated redis configuration -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- # spring: redis: # redis://user:[email protected]:6379 # redis://user:[email protected]:6379 Host: 192.168.38.129 Port: 6379 # password password: XXXX DATABASE: 0 # Specifies the database. The default value is 0 timeout: 300. The default value is 0. False # Indicates whether SSL connections are enabled. The default value is false. Jedis: pool: # Connection pool configuration max-active: 8 Max-idle: 8 # Indicates the maximum number of idle connections. The default value is 8. Max-wait: -1 Default values can be used when a transaction cannot commit, the database is locked, and a large number of threads are waiting because connections cannot be obtained. Min-idle: 0 # Specifies the minimum number of idle connections. The default value is 0. #sentinel: # master: mymaster #sentinel mastser # Nodes: host1:port,host2:port #sentinel #cluster: # max-redirects: Maximum number of forwarding nodes in cluster mode Host1: port, host2: port # cluster node # -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- integrated redis configuration ------------------------------------------Copy the code
Java verification listener implementation scheme
After the data of the first layer is obtained, the data is brought out and put into the value below for use
To put it simply, when obtaining user login information, redis is read once, and then user information in REDis is put into memory cache
It is directly used in the later permission verification
Fast and good
Redis user token, data storage scheme
Redis storage tokens can be stored using the user ID as a unique key
Use the basic storage method of key Val
There is a need to also use the ID before the project name or information, convenient to distinguish between multiple projects, but generally a project to do one, there is no need to put multiple projects together, so very good
Redis uitl class
package com.superman.base.redis.uitl;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Component;
import org.springframework.util.CollectionUtils;
import com.alibaba.druid.support.logging.Log;
import com.alibaba.druid.support.logging.LogFactory;
import com.superman.tonifi.JSONOrTextOut;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;
@Component
public final class RedisUtil {
private final static Log log = LogFactory.getLog(RedisUtil.class);
@Autowired
private RedisTemplate<String, Object> redisTemplate;
// =============================common============================
/**
* 指定缓存失效时间
* @param key 键
* @param time 时间(秒)
*/
public boolean expire(String key, long time) {
try {
if (time > 0) {
redisTemplate.expire(key, time, TimeUnit.SECONDS);
}
return true;
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* 根据key 获取过期时间
* @param key 键 不能为null
* @return 时间(秒) 返回0代表为永久有效
*/
public long getExpire(String key) {
return redisTemplate.getExpire(key, TimeUnit.SECONDS);
}
/**
* 判断key是否存在 （不建议使用）
* 由于序列号等各类型原因不方便，还是直接使用 Object c = get(key); c==null 来判断使用
* @param key 键
* @return true 存在 false不存在
*/
public boolean hasKey(String key) {
try {
// Object c = redisTemplate.opsForValue().get(key);
// return c==null?false:true;
//由于序列化的原因，hasKey 一直返回false 可以使用上边方法，或使用修改redis修改序列号实现下边使用
return redisTemplate.hasKey(key);
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* 删除缓存
* @param key 可以传一个值 或多个
*/
@SuppressWarnings("unchecked")
public void del(String... key) {
if (key != null && key.length > 0) {
if (key.length == 1) {
redisTemplate.delete(key[0]);
} else {
redisTemplate.delete(CollectionUtils.arrayToList(key));
}
}
}
// ============================String=============================
/**
* 普通缓存获取
* @param key 键
* @return 值
*/
public Object get(String key) {
return key == null ? null : redisTemplate.opsForValue().get(key);
}
/**
* 普通缓存放入
* @param key 键
* @param value 值
* @return true成功 false失败
*/
public boolean set(String key, Object value) {
try {
redisTemplate.opsForValue().set(key, value);
return true;
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* 普通缓存放入并设置时间
* @param key 键
* @param value 值
* @param time 时间(秒) time要大于0 如果time小于等于0 将设置无限期
* @return true成功 false 失败
*/
public boolean set(String key, Object value, long time) {
try {
if (time > 0) {
redisTemplate.opsForValue().set(key, value, time, TimeUnit.SECONDS);
} else {
set(key, value);
}
return true;
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* 递增
* @param key 键
* @param delta 要增加几(大于0)
*/
public long incr(String key, long delta) {
if (delta < 0) {
throw new RuntimeException("递增因子必须大于0");
}
return redisTemplate.opsForValue().increment(key, delta);
}
/**
* 递减
* @param key 键
* @param delta 要减少几(小于0)
*/
public long decr(String key, long delta) {
if (delta < 0) {
throw new RuntimeException("递减因子必须大于0");
}
return redisTemplate.opsForValue().increment(key, -delta);
}
// ================================Map=================================
/**
* HashGet
* @param key 键 不能为null
* @param item 项 不能为null
*/
public Object hget(String key, String item) {
return redisTemplate.opsForHash().get(key, item);
}
/**
* 获取hashKey对应的所有键值
* @param key 键
* @return 对应的多个键值
*/
public Map<Object, Object> hmget(String key) {
return redisTemplate.opsForHash().entries(key);
}
/**
* HashSet
* @param key 键
* @param map 对应多个键值
*/
public boolean hmset(String key, Map<String, Object> map) {
try {
redisTemplate.opsForHash().putAll(key, map);
return true;
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* HashSet 并设置时间
* @param key 键
* @param map 对应多个键值
* @param time 时间(秒)
* @return true成功 false失败
*/
public boolean hmset(String key, Map<String, Object> map, long time) {
try {
redisTemplate.opsForHash().putAll(key, map);
if (time > 0) {
expire(key, time);
}
return true;
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* 向一张hash表中放入数据,如果不存在将创建
*
* @param key 键
* @param item 项
* @param value 值
* @return true 成功 false失败
*/
public boolean hset(String key, String item, Object value) {
try {
redisTemplate.opsForHash().put(key, item, value);
return true;
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* 向一张hash表中放入数据,如果不存在将创建
*
* @param key 键
* @param item 项
* @param value 值
* @param time 时间(秒) 注意:如果已存在的hash表有时间,这里将会替换原有的时间
* @return true 成功 false失败
*/
public boolean hset(String key, String item, Object value, long time) {
try {
redisTemplate.opsForHash().put(key, item, value);
if (time > 0) {
expire(key, time);
}
return true;
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* 删除hash表中的值
*
* @param key 键 不能为null
* @param item 项 可以使多个 不能为null
*/
public void hdel(String key, Object... item) {
redisTemplate.opsForHash().delete(key, item);
}
/**
* 判断hash表中是否有该项的值
*
* @param key 键 不能为null
* @param item 项 不能为null
* @return true 存在 false不存在
*/
public boolean hHasKey(String key, String item) {
return redisTemplate.opsForHash().hasKey(key, item);
}
/**
* hash递增 如果不存在,就会创建一个 并把新增后的值返回
*
* @param key 键
* @param item 项
* @param by 要增加几(大于0)
*/
public double hincr(String key, String item, double by) {
return redisTemplate.opsForHash().increment(key, item, by);
}
/**
* hash递减
*
* @param key 键
* @param item 项
* @param by 要减少记(小于0)
*/
public double hdecr(String key, String item, double by) {
return redisTemplate.opsForHash().increment(key, item, -by);
}
// ============================set=============================
/**
* 根据key获取Set中的所有值
* @param key 键
*/
public Set<Object> sGet(String key) {
try {
return redisTemplate.opsForSet().members(key);
} catch (Exception e) {
log.error(e.toString());
return null;
}
}
/**
* 根据value从一个set中查询,是否存在
*
* @param key 键
* @param value 值
* @return true 存在 false不存在
*/
public boolean sHasKey(String key, Object value) {
try {
return redisTemplate.opsForSet().isMember(key, value);
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* 将数据放入set缓存
*
* @param key 键
* @param values 值 可以是多个
* @return 成功个数
*/
public long sSet(String key, Object... values) {
try {
return redisTemplate.opsForSet().add(key, values);
} catch (Exception e) {
log.error(e.toString());
return 0;
}
}
/**
* 将set数据放入缓存
*
* @param key 键
* @param time 时间(秒)
* @param values 值 可以是多个
* @return 成功个数
*/
public long sSetAndTime(String key, long time, Object... values) {
try {
Long count = redisTemplate.opsForSet().add(key, values);
if (time > 0)
expire(key, time);
return count;
} catch (Exception e) {
log.error(e.toString());
return 0;
}
}
/**
* 获取set缓存的长度
*
* @param key 键
*/
public long sGetSetSize(String key) {
try {
return redisTemplate.opsForSet().size(key);
} catch (Exception e) {
log.error(e.toString());
return 0;
}
}
/**
* 移除值为value的
*
* @param key 键
* @param values 值 可以是多个
* @return 移除的个数
*/
public long setRemove(String key, Object... values) {
try {
Long count = redisTemplate.opsForSet().remove(key, values);
return count;
} catch (Exception e) {
log.error(e.toString());
return 0;
}
}
// ===============================list=================================
/**
* 获取list缓存的内容
*
* @param key 键
* @param start 开始
* @param end 结束 0 到 -1代表所有值
*/
public List<Object> lGet(String key, long start, long end) {
try {
return redisTemplate.opsForList().range(key, start, end);
} catch (Exception e) {
log.error(e.toString());
return null;
}
}
/**
* 获取list缓存的长度
*
* @param key 键
*/
public long lGetListSize(String key) {
try {
return redisTemplate.opsForList().size(key);
} catch (Exception e) {
log.error(e.toString());
return 0;
}
}
/**
* 通过索引 获取list中的值
*
* @param key 键
* @param index 索引 index>=0时， 0 表头，1 第二个元素，依次类推；index<0时，-1，表尾，-2倒数第二个元素，依次类推
*/
public Object lGetIndex(String key, long index) {
try {
return redisTemplate.opsForList().index(key, index);
} catch (Exception e) {
log.error(e.toString());
return null;
}
}
/**
* 将list放入缓存
*
* @param key 键
* @param value 值
*/
public boolean lSet(String key, Object value) {
try {
redisTemplate.opsForList().rightPush(key, value);
return true;
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* 将list放入缓存
* @param key 键
* @param value 值
* @param time 时间(秒)
*/
public boolean lSet(String key, Object value, long time) {
try {
redisTemplate.opsForList().rightPush(key, value);
if (time > 0)
expire(key, time);
return true;
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* 将list放入缓存
*
* @param key 键
* @param value 值
* @return
*/
public boolean lSet(String key, List<Object> value) {
try {
redisTemplate.opsForList().rightPushAll(key, value);
return true;
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* 将list放入缓存
*
* @param key 键
* @param value 值
* @param time 时间(秒)
* @return
*/
public boolean lSet(String key, List<Object> value, long time) {
try {
redisTemplate.opsForList().rightPushAll(key, value);
if (time > 0)
expire(key, time);
return true;
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* 根据索引修改list中的某条数据
*
* @param key 键
* @param index 索引
* @param value 值
* @return
*/
public boolean lUpdateIndex(String key, long index, Object value) {
try {
redisTemplate.opsForList().set(key, index, value);
return true;
} catch (Exception e) {
log.error(e.toString());
return false;
}
}
/**
* 移除N个值为value
*
* @param key 键
* @param count 移除多少个
* @param value 值
* @return 移除的个数
*/
public long lRemove(String key, long count, Object value) {
try {
Long remove = redisTemplate.opsForList().remove(key, count, value);
return remove;
} catch (Exception e) {
log.error(e.toString());
return 0;
}
}
}
Copy the code
Data verification scheme
/** * Redis check online user ** @param userID * @param Token * @param URL * @param userDeptData Obtain permission code data ** @return Boolean true false * */ public boolean redisOnlineCheckv2(String userid,String token,String url,String userDeptData){ Object c = ru.get("xxxxporject_"+userid); if(c! =null){ String tokenData = c.toString(); // use &dept_code= to distinguish between tokens and permissions. Contains ("&dept_code=")){if(tokendata.split ("&dept_code=")[0].equals(token)){userDeptData = tokenData.split("&dept_code=").length>=2? tokenData.split("&dept_code=")[1]:""; log.info(url+" visit "+userid+" token:"+token+" seccess "); return true; }else{ log.info(url+" visit "+userid+" token:"+token+" token check fial "); return false; } }else{ log.info(url+" visit "+userid+" token:"+token+" token check fial "); return false; } }else{ log.info(url+" visit "+userid+" token:"+token+" redis null userid "); return false; }}Copy the codeYou can add the above verification method to the listener
If some path address requests are found, verify the address permissions
** @author jianghy ** @param userid userid * @param deptCode userid * @param userDeptData userid ** @return true, false */ public Boolean redisdeptCheck(String userID,String deptCode,String userDeptData){return true, false */ public Boolean redisdeptCheck(String userID,String deptCode,String deptData){ if(userDeptData.contains(",")){ String[] arr = userDeptData.split(","); for (int i = 0; i < arr.length; If (arr[I].equals(deptCode)){if(arr[I].equals(deptCode)){return true; } } return false; }else{ return false; }}Copy the code
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