Redis实战之征服 Redis + Jedis + Spring （二）

目录(?)[+]

1. 一预期
2. 二代码实现
   1. 保存HMSET
   2. 获取HMGET

不得不说，用哈希操作来存对象，有点自讨苦吃！

不过，既然吃了苦，也做个记录，也许以后API升级后，能好用些呢？！

或许，是我的理解不对，没有真正的理解哈希表。

一、预期

接上一篇，扩充User属性：

 

Java代码  

1. public class User implements Serializable {  
2.     private static final long serialVersionUID = -1267719235225203410L;  
3.   
4.     private String uid;  
5.   
6.     private String address;  
7.   
8.     private String mobile;  
9.   
10.     private String postCode;  
11. }  

[java] view plaincopyprint?

1. public class User implements Serializable {  
2.     private static final long serialVersionUID = -1267719235225203410L;  
3.   
4.     private String uid;  
5.   
6.     private String address;  
7.   
8.     private String mobile;  
9.   
10.     private String postCode;  
11. }  

public class User implements Serializable {private static final long serialVersionUID = -1267719235225203410L;private String uid;private String address;private String mobile;private String postCode;}

 

 我期望的是： 

 

 

redis 127.0.0.1:6379> hmget uc.user.info.uid.u123456 address mobile postCode
1) "\xe4\xb8\x8a\xe6\xb5\xb7"
2) "13800138000"
3) "100859"

 

 

几乎就是一个对象了！ 

但是，接下来的代码实现，让我彻底崩溃了！

 

二、代码实现

1.保存——HMSET

 

Java代码  

1. @Override  
2. public void save(final User user) {  
3.     redisTemplate.execute(new RedisCallback<Object>() {  
4.         @Override  
5.         public Object doInRedis(RedisConnection connection)  
6.                 throws DataAccessException {  
7.             byte[] key = redisTemplate.getStringSerializer().serialize(  
8.                     "uc.user.info.uid." + user.getUid());  
9.             BoundHashOperations<Serializable, byte[], byte[]> boundHashOperations = redisTemplate  
10.                     .boundHashOps(key);  
11.             boundHashOperations.put(redisTemplate.getStringSerializer()  
12.                     .serialize("mobile"), redisTemplate  
13.                     .getStringSerializer().serialize(user.getMobile()));  
14.             boundHashOperations.put(redisTemplate.getStringSerializer()  
15.                     .serialize("address"), redisTemplate  
16.                     .getStringSerializer().serialize(user.getAddress()));  
17.             boundHashOperations.put(redisTemplate.getStringSerializer()  
18.                     .serialize("postCode"), redisTemplate  
19.                     .getStringSerializer().serialize(user.getPostCode()));  
20.             connection.hMSet(key, boundHashOperations.entries());  
21.             return null;  
22.         }  
23.     });  
24. }  

[java] view plaincopyprint?

1. @Override  
2. public void save(final User user) {  
3.     redisTemplate.execute(new RedisCallback<Object>() {  
4.         @Override  
5.         public Object doInRedis(RedisConnection connection)  
6.                 throws DataAccessException {  
7.             byte[] key = redisTemplate.getStringSerializer().serialize(  
8.                     "uc.user.info.uid." + user.getUid());  
9.             BoundHashOperations<Serializable, byte[], byte[]> boundHashOperations = redisTemplate  
10.                     .boundHashOps(key);  
11.             boundHashOperations.put(redisTemplate.getStringSerializer()  
12.                     .serialize("mobile"), redisTemplate  
13.                     .getStringSerializer().serialize(user.getMobile()));  
14.             boundHashOperations.put(redisTemplate.getStringSerializer()  
15.                     .serialize("address"), redisTemplate  
16.                     .getStringSerializer().serialize(user.getAddress()));  
17.             boundHashOperations.put(redisTemplate.getStringSerializer()  
18.                     .serialize("postCode"), redisTemplate  
19.                     .getStringSerializer().serialize(user.getPostCode()));  
20.             connection.hMSet(key, boundHashOperations.entries());  
21.             return null;  
22.         }  
23.     });  
24. }  

@Overridepublic void save(final User user) {redisTemplate.execute(new RedisCallback<Object>() {@Overridepublic Object doInRedis(RedisConnection connection)throws DataAccessException {byte[] key = redisTemplate.getStringSerializer().serialize("uc.user.info.uid." + user.getUid());BoundHashOperations<Serializable, byte[], byte[]> boundHashOperations = redisTemplate.boundHashOps(key);boundHashOperations.put(redisTemplate.getStringSerializer().serialize("mobile"), redisTemplate.getStringSerializer().serialize(user.getMobile()));boundHashOperations.put(redisTemplate.getStringSerializer().serialize("address"), redisTemplate.getStringSerializer().serialize(user.getAddress()));boundHashOperations.put(redisTemplate.getStringSerializer().serialize("postCode"), redisTemplate.getStringSerializer().serialize(user.getPostCode()));connection.hMSet(key, boundHashOperations.entries());return null;}});}

 

 

 

这里用到：

 

Java代码  

1. BoundHashOperations<Serializable, byte[], byte[]> boundHashOperations = redisTemplate.boundHashOps(key);  
2. boundHashOperations.put(redisTemplate.getStringSerializer().serialize("mobile"), redisTemplate.getStringSerializer().serialize(user.getMobile()));  

[java] view plaincopyprint?

1. BoundHashOperations<Serializable, byte[], byte[]> boundHashOperations = redisTemplate.boundHashOps(key);  
2. boundHashOperations.put(redisTemplate.getStringSerializer().serialize("mobile"), redisTemplate.getStringSerializer().serialize(user.getMobile()));  

BoundHashOperations<Serializable, byte[], byte[]> boundHashOperations = redisTemplate.boundHashOps(key);boundHashOperations.put(redisTemplate.getStringSerializer().serialize("mobile"), redisTemplate.getStringSerializer().serialize(user.getMobile()));

 

 看着就有点肿。。。Map封装完以后，用HMSET命令：

 

Java代码  

1. connection.hMSet(key, boundHashOperations.entries());  

[java] view plaincopyprint?

1. connection.hMSet(key, boundHashOperations.entries());  

connection.hMSet(key, boundHashOperations.entries());

 

 这时候就完成了哈希表的保存操作，可以在控制台看到相应的数据了。

 

redis 127.0.0.1:6379> hmget uc.user.info.uid.u123456 address mobile postCode
1) "\xe4\xb8\x8a\xe6\xb5\xb7"
2) "13800138000"
3) "100859"

 

2.获取——HMGET

这一刻，我彻底崩溃了！取出来的值是个List，还得根据取得顺序，逐个反序列化，得到内容。

 

Java代码  

1. @Override  
2. public User read(final String uid) {  
3.     return redisTemplate.execute(new RedisCallback<User>() {  
4.         @Override  
5.         public User doInRedis(RedisConnection connection)  
6.                 throws DataAccessException {  
7.             byte[] key = redisTemplate.getStringSerializer().serialize(  
8.                     "uc.user.info.uid." + uid);  
9.             if (connection.exists(key)) {  
10.                 List<byte[]> value = connection.hMGet(  
11.                         key,  
12.                         redisTemplate.getStringSerializer().serialize(  
13.                                 "address"),  
14.                         redisTemplate.getStringSerializer().serialize(  
15.                                 "mobile"), redisTemplate  
16.                                 .getStringSerializer()  
17.                                 .serialize("postCode"));  
18.                 User user = new User();  
19.                 String address = redisTemplate.getStringSerializer()  
20.                         .deserialize(value.get(0));  
21.                 user.setAddress(address);  
22.                 String mobile = redisTemplate.getStringSerializer()  
23.                         .deserialize(value.get(1));  
24.                 user.setMobile(mobile);  
25.                 String postCode = redisTemplate.getStringSerializer()  
26.                         .deserialize(value.get(2));  
27.                 user.setPostCode(postCode);  
28.                 user.setUid(uid);  
29.   
30.                 return user;  
31.             }  
32.             return null;  
33.         }  
34.     });  
35. }  

[java] view plaincopyprint?

1. @Override  
2. public User read(final String uid) {  
3.     return redisTemplate.execute(new RedisCallback<User>() {  
4.         @Override  
5.         public User doInRedis(RedisConnection connection)  
6.                 throws DataAccessException {  
7.             byte[] key = redisTemplate.getStringSerializer().serialize(  
8.                     "uc.user.info.uid." + uid);  
9.             if (connection.exists(key)) {  
10.                 List<byte[]> value = connection.hMGet(  
11.                         key,  
12.                         redisTemplate.getStringSerializer().serialize(  
13.                                 "address"),  
14.                         redisTemplate.getStringSerializer().serialize(  
15.                                 "mobile"), redisTemplate  
16.                                 .getStringSerializer()  
17.                                 .serialize("postCode"));  
18.                 User user = new User();  
19.                 String address = redisTemplate.getStringSerializer()  
20.                         .deserialize(value.get(0));  
21.                 user.setAddress(address);  
22.                 String mobile = redisTemplate.getStringSerializer()  
23.                         .deserialize(value.get(1));  
24.                 user.setMobile(mobile);  
25.                 String postCode = redisTemplate.getStringSerializer()  
26.                         .deserialize(value.get(2));  
27.                 user.setPostCode(postCode);  
28.                 user.setUid(uid);  
29.   
30.                 return user;  
31.             }  
32.             return null;  
33.         }  
34.     });  
35. }  

@Overridepublic User read(final String uid) {return redisTemplate.execute(new RedisCallback<User>() {@Overridepublic User doInRedis(RedisConnection connection)throws DataAccessException {byte[] key = redisTemplate.getStringSerializer().serialize("uc.user.info.uid." + uid);if (connection.exists(key)) {List<byte[]> value = connection.hMGet(key,redisTemplate.getStringSerializer().serialize("address"),redisTemplate.getStringSerializer().serialize("mobile"), redisTemplate.getStringSerializer().serialize("postCode"));User user = new User();String address = redisTemplate.getStringSerializer().deserialize(value.get(0));user.setAddress(address);String mobile = redisTemplate.getStringSerializer().deserialize(value.get(1));user.setMobile(mobile);String postCode = redisTemplate.getStringSerializer().deserialize(value.get(2));user.setPostCode(postCode);user.setUid(uid);return user;}return null;}});}

 

 这个实现，跟Redis的命令几乎一模一样，指定Key，指定field，获取其值。

 

Java代码  

1. List<byte[]> value = connection.hMGet(key,redisTemplate.getStringSerializer().serialize("address"),  
2. redisTemplate.getStringSerializer().serialize("mobile"),   
3. redisTemplate.getStringSerializer().serialize("postCode"));  

[java] view plaincopyprint?

1. List<byte[]> value = connection.hMGet(key,redisTemplate.getStringSerializer().serialize("address"),  
2. redisTemplate.getStringSerializer().serialize("mobile"),   
3. redisTemplate.getStringSerializer().serialize("postCode"));  

List<byte[]> value = connection.hMGet(key,redisTemplate.getStringSerializer().serialize("address"),redisTemplate.getStringSerializer().serialize("mobile"), redisTemplate.getStringSerializer().serialize("postCode"));

 

 我绝对相信，要么是我用的过于肤浅，低估了Spring的封装能力。或者，我该直接Json！等等，这不是MongoDB干的事情吗？！

PS：这两篇博客里操作的数据类型，只能是String类型，还没搞定除此以外任何类型。吾将上下而求索～～～

上述操作也许你吐了，接下来的代码，就再吐一次吧！

封装对象的时候，一定要记得次序。。。。这绝对不是一个优质代码的实现风格！

 

Java代码  

1. User user = new User();  
2. String address = redisTemplate.getStringSerializer().deserialize(value.get(0));  
3. user.setAddress(address);  
4. String mobile = redisTemplate.getStringSerializer().deserialize(value.get(1));  
5. user.setMobile(mobile);  
6. String postCode = redisTemplate.getStringSerializer().deserialize(value.get(2));  
7. user.setPostCode(postCode);  

[java] view plaincopyprint?

1. User user = new User();  
2. String address = redisTemplate.getStringSerializer().deserialize(value.get(0));  
3. user.setAddress(address);  
4. String mobile = redisTemplate.getStringSerializer().deserialize(value.get(1));  
5. user.setMobile(mobile);  
6. String postCode = redisTemplate.getStringSerializer().deserialize(value.get(2));  
7. user.setPostCode(postCode);  

User user = new User();String address = redisTemplate.getStringSerializer().deserialize(value.get(0));user.setAddress(address);String mobile = redisTemplate.getStringSerializer().deserialize(value.get(1));user.setMobile(mobile);String postCode = redisTemplate.getStringSerializer().deserialize(value.get(2));user.setPostCode(postCode);

 

 好吧！苦逼的事情，就此结束。目标Json支持！

forward from http://blog.csdn.net/it_man/article/details/9730649