单服务支撑多产品,关于数据隔离的部分方案

方案说明:

项目启动时,将不同的数据源配置和产品相关基本配置注入,不同渠道的请求都携带产品识别字段

(包名,统一的路径格式,或者其他识别方案),每次请求将产品绑定放到线程上下文中实现数据隔离,数据隔离这里主要指持久化数据(mysql)和缓存(redis,内存缓存)的隔离

1.数据库隔离根据上下文链接不同的数据库,

2.redis根据上下文读取对应格式的key

3.主要拦截器部分代码(将隔离识别码放到线程上下文中)

内部请求或者可以自己可开发的请求,可将识别码放到 header中

public class ... implements HandlerInterceptor {


  public boolean preHandle(HttpServletRequest req, HttpServletResponse rep, Object arg2) throws Exception {

     ...

        String pkg = req.getHeader("...");
       ...
        return true;
    }

}

只能提供url的开发接口,可以根据url参数判断

 @Override
    public boolean preHandle(HttpServletRequest req, HttpServletResponse rep, Object arg2) throws Exception {

        Map pathVariables = (Map) req.getAttribute(HandlerMapping.URI_TEMPLATE_VARIABLES_ATTRIBUTE);

        if (pathVariables != null && pathVariables.get("...") != null) {
            setConfigAndDb.openReqAppSet(req.getRequestURI(), (String) pathVariables.get("..."));
            return true;
        }
       
        return true;
    }

4.redis的隔离

普通 redisTemplate


    @Bean(name = "redisTemplate")
    @ConditionalOnMissingBean(name = "redisTemplate")
    public RedisTemplate redisTemplate(RedisConnectionFactory redisConnectionFactory) {
        RedisTemplate template = new RedisTemplate<>();
        ......
        template.setKeySerializer(new StringRedisSerializer());
         .....
        return template;
    }


public class StringRedisSerializer implements RedisSerializer {

    private final Charset charset;

    private final String target = "\"";

    private final String replacement = "";

    public StringRedisSerializer() {
        this(Charset.forName("UTF8"));
    }

    public StringRedisSerializer(Charset charset) {
        Assert.notNull(charset, "Charset must not be null!");
        this.charset = charset;
    }

    @Override
    public String deserialize(byte[] bytes) {
        return (bytes == null ? null : new String(bytes, charset));
    }

    @Override
    public byte[] serialize(Object object) {
        String string = JSON.toJSONString(object);
        if (string == null) {
            return null;
        }

        if (string.contains("#common#")) {
...       
        } else {
            try {
                String begin= ?识别码
                if (string.contains(begin) == false){
                    string=begin+string;
                }
            } catch (Exception e) {
                string = "errPkg:" + string;
            }
        }
        string = string.replace(target, replacement);
        return string.getBytes(charset);


    }
} 
  

SpringBoot缓存注解@CacheConfig...等方案

   @Bean
    public CacheManager cacheManager(RedisConnectionFactory redisConnectionFactory) {
        return new RedisCacheManager(
                new ZsRedisWriter(redisConnectionFactory),
                this.getRedisCacheConfigurationWithTtl(Duration.ofDays(1)), // 默认策略,未配置的 key 会使用这个
                this.getRedisCacheConfigurationMap() // 指定 key 策略

        );
    }

ZsRedisWriter 为自定义 继承DefaultRedisCacheWriter ,

DefaultRedisCacheWriter 方法不是public 的 这里我们复制出来 开放接口就可以了,DefaultRedisCacheWriter implements RedisCacheWriter
package com.ydtc.redis;

import com.ydtc.context.bean.BaseConfig;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.lang.Nullable;

import java.time.Duration;

public class ZsRedisWriter extends DefaultRedisCacheWriter {

    public ZsRedisWriter(RedisConnectionFactory connectionFactory) {
        super(connectionFactory);
    }

    public ZsRedisWriter(RedisConnectionFactory connectionFactory, Duration sleepTime) {
        super(connectionFactory, sleepTime);
    }

    private String dealPkg(String name) {
        return BaseConfig.getDbKey() + ":"+name;
    }

    private byte[] dealKey(byte[] key) {
        String keyStr = new String(key);

        return (BaseConfig.getDbKey()+ ":"+keyStr).getBytes();
    }


    @Override
    public void put(String name, byte[] key, byte[] value, @Nullable Duration ttl) {
        name = dealPkg(name);
        key = dealKey(key);
        super.put(name, key, value, ttl);
    }

    @Override
    public byte[] get(String name, byte[] key) {
        name = dealPkg(name);
        key = dealKey(key);
        return super.get(name, key);
    }

    @Override
    public byte[] putIfAbsent(String name, byte[] key, byte[] value, @Nullable Duration ttl) {
        name = dealPkg(name);
        key = dealKey(key);
        return super.putIfAbsent(name, key, value, ttl);
    }

    @Override
    public void remove(String name, byte[] key) {
        name = dealPkg(name);
        key = dealKey(key);
        super.remove(name, key);
    }

    @Override
    public void clean(String name, byte[] pattern) {
        name = dealPkg(name);
        pattern = dealKey(pattern);
        super.clean(name, pattern);
    }


}

你可能感兴趣的:(java,框架,java,spring,redis,缓存)