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这节记录下如何使用redis缓存数据库。

第一步：

先在服务器端安装redis，

下载地址：Releases · tporadowski/redis · GitHub。

第二步：

安装redis客户端可视化管理软件redisDesktopmanager

Redis Desktop Manager - Download

第三步：

设置redis缓存服务器的密码。

方式一（临时密码）：打开redis-server.exe，输入config set requirepass 密码
方式二：永久密码，修改redis的conf文件，在conf中搜索requirepass。记得修改了以后重启（先停止再启动）redis的服务，不然不生效。

第四步：Redis Desktop Manager管理软件，测试是否能连接上Redis服务器。

​​

第五步：开始配置Springboot中的redis

在application-local.yml文章中

spring:datasource:url: jdbc:mysql://localhost:3306/test123?useSSL=false&characterEncoding=UTF-8&serverTimezone=UTCusername: rootpassword:driver-class-name: com.mysql.cj.jdbc.Drivertype: com.zaxxer.hikari.HikariDataSource# 连接池hikari:minimum-idle: 10maximum-pool-size: 20idle-timeout: 300000max-lifetime: 1800000connection-timeout: 30000pool-name: SpringHikariCPdata:redis:host: 127.0.0.1password: 123456

第六步：编写测试代码

 @PostMappingpublic void save(){List<Student> studentList =   studentService.list();stringRedisTemplate.opsForValue().set("studentList", JSONUtil.toJsonStr(studentList));}@GetMappingpublic List<Student> list(){List<Student> list = JSONUtil.toList(stringRedisTemplate.opsForValue().get("studentList"),Student.class);return list;}@PutMappingpublic void update(){List<Student> list = JSONUtil.toList(stringRedisTemplate.opsForValue().get("studentList"),Student.class);Student student1 = new Student();student1.setName("小王");student1.setAge(18);student1.setCreate_time(new Date());list.add(student1);stringRedisTemplate.opsForValue().set("studentList",JSONUtil.toJsonStr(list));return ;}@DeleteMappingpublic void delete(){stringRedisTemplate.delete("studentList");}

第七步：观察redis存储结果

上面记录了操作步骤。
那么接下来我们对代码进行分析。

一：redis是如何获取applocation.yml中的配置参数的？

Redis并不直接“获取”application.yml中的配置参数，而是Spring Boot框架在启动过程中读取这些配置参数，并据此配置Redis连接。应用程序通过Spring Boot提供的接口（如RedisTemplate）与Redis进行交互，而无需直接关心连接参数的配置。这种方式简化了应用程序与Redis的集成过程，提高了开发效率。

二：StringRedisTemplate类什么？

StringRedisTemplate类是Spring Data Redis提供的一个用于操作Redis的模板类。它专门用于处理Redis中的String类型数据，提供了一系列简化操作的方法，使开发者可以方便地进行数据的读取、写入和删除等操作，而无需关心底层Redis的连接和数据序列化等细节。
主要特点和用法
简化的操作方法：StringRedisTemplate封装了一系列简化的操作方法，如设置、获取、删除String类型数据等，开发者可以直接调用这些方法来进行操作，而无需关心Redis的底层实现。
与Spring集成：StringRedisTemplate是基于Spring框架提供的RedisTemplate实现的，因此可以与Spring应用程序无缝集成，通过依赖注入的方式进行使用。
支持事务：StringRedisTemplate支持在事务中进行操作，可以保证多个操作的原子性，确保数据的一致性。
支持序列化：StringRedisTemplate支持将Java对象序列化成Redis数据格式，以及将Redis数据反序列化成Java对象，方便开发者进行数据存取操作。
提供回调接口：StringRedisTemplate还提供了一些回调接口，如RedisCallback和SessionCallback，开发者可以通过这些接口来执行自定义的Redis操作，更灵活地控制Redis的使用。
构造方法
StringRedisTemplate提供了多种构造方法，通常开发者会通过配置Redis连接信息（如主机名、端口号等）来创建连接工厂，然后使用连接工厂来创建StringRedisTemplate实例。
常用操作方法
以下是一些常用的操作方法示例：

设置值：通过opsForValue().set(String key, String value)方法可以设置键值对。
获取值：通过opsForValue().get(String key)方法可以根据键获取对应的值。
删除值：通过delete(String key)方法可以删除指定的键值对。
追加字符串：通过opsForValue().append(String key, String value)方法可以向指定的键对应的字符串值的末尾追加值。
自增自减：通过opsForValue().increment(String key)和opsForValue().decrement(String key)方法可以实现字符串类型数据的自增和自减操作。
设置过期时间：在设置值时，可以指定过期时间，如opsForValue().set(String key, String value, long timeout, TimeUnit unit)方法。
注意事项
在使用StringRedisTemplate时，需要注意Redis服务器的连接信息配置，包括主机名、端口号、密码等。
对于数据类型为String的Redis操作，StringRedisTemplate提供了非常便捷的方法，但对于其他类型的数据（如Hash、List、Set等），则可能需要使用RedisTemplate或其他工具类进行操作。
在进行大量数据操作时，需要注意Redis的性能和内存使用情况，避免造成不必要的性能瓶颈或内存溢出等问题。

StringRedisTemplate 类源码

继承结构

//
// Source code recreated from a .class file by IntelliJ IDEA
// (powered by FernFlower decompiler)
//package org.springframework.data.redis.core;import org.springframework.data.redis.connection.DefaultStringRedisConnection;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.serializer.RedisSerializer;public class StringRedisTemplate extends RedisTemplate<String, String> {public StringRedisTemplate() {this.setKeySerializer(RedisSerializer.string());this.setValueSerializer(RedisSerializer.string());this.setHashKeySerializer(RedisSerializer.string());this.setHashValueSerializer(RedisSerializer.string());}public StringRedisTemplate(RedisConnectionFactory connectionFactory) {this();this.setConnectionFactory(connectionFactory);this.afterPropertiesSet();}protected RedisConnection preProcessConnection(RedisConnection connection, boolean existingConnection) {return new DefaultStringRedisConnection(connection);}
}

源码分析：
StringRedisTemplate 继承自 RedisTemplate<String, String>，这意味着它是一个泛型类，其中键（Key）和值（Value）的类型都限定为 String。

StringRedisTemplate()这个构造函数通过调用 setKeySerializer、setValueSerializer、setHashKeySerializer 和 setHashValueSerializer 方法，将键、值、哈希键和哈希值的序列化器都设置为 RedisSerializer.string()。这意味着所有的键和值在存入 Redis 之前都会被转换成字符串，从 Redis 取出时也会从字符串转换回原来的类型（在这个场景下，由于本身就是字符串，所以实际上不需要转换）。

三：StringRedisTemplate和RedisTemplate区别在哪里

StringRedisTemplate和RedisTemplate在Spring框架中都是用于操作Redis数据库的模板类，但它们之间存在一些明显的区别，主要体现在以下几个方面：

1. 序列化策略

• StringRedisTemplate：采用的是String的序列化策略，即它将Java对象序列化为字符串形式存储在Redis中，同时也将Redis中的字符串反序列化为Java对象。这种方式简化了操作，因为字符串是Redis中最基本的数据类型，支持的操作简单高效。
• RedisTemplate：默认采用的是JDK的序列化策略（JdkSerializationRedisSerializer），即它将Java对象序列化为字节数组存储在Redis中。这种方式虽然可以处理任意类型的Java对象，但在Redis-cli中查看时可能会显示为乱码。不过，RedisTemplate的序列化策略是可以自定义的，常用的还有Jackson2JsonRedisSerializer等，可以将对象序列化为JSON字符串存储在Redis中。

2. 存储数据类型

• StringRedisTemplate：专注于处理Redis中的String类型数据，提供了一系列简化操作String类型数据的方法。
• RedisTemplate：是一个泛型类，可以对Redis中的任意类型数据进行操作，包括但不限于String、Hash、List、Set和Sorted Set等。它提供了丰富的API来支持这些数据类型的操作。

3. 使用范围

• StringRedisTemplate：由于其专注于String类型数据，因此适用于存储简单的键值对、缓存数据、计数器等场景。
• RedisTemplate：由于其泛型特性和丰富的API，适用于需要存储复杂对象或进行复杂查询的场景。如果你需要存取复杂的对象，并且不想做额外的处理，那么RedisTemplate可能是一个更好的选择。

4. 继承关系

• StringRedisTemplate：实际上是RedisTemplate的一个子类，它在继承RedisTemplate的基础上，将泛型类型指定为了String，从而限制了其只能处理String类型的键值对。

5. 示例

假设我们有一个User对象需要存储到Redis中：

• 使用StringRedisTemplate时，如果直接尝试存储User对象，会报错，因为StringRedisTemplate的set方法只接受String类型的键和值。我们需要先将User对象转换为String（例如通过JSON序列化），然后再存储。
• 使用RedisTemplate时，如果采用默认的JDK序列化策略，可以直接存储User对象，但在Redis-cli中查看时会是乱码。如果采用JSON序列化策略（如Jackson2JsonRedisSerializer），则可以将User对象序列化为JSON字符串后存储，这样在Redis-cli中查看时会是可读的JSON字符串。

综上所述，StringRedisTemplate和RedisTemplate在序列化策略、存储数据类型、使用范围、继承关系等方面存在明显的区别。在选择使用哪个模板类时，需要根据具体的应用场景和需求来决定。

四：RedisTemplate源码

//
// Source code recreated from a .class file by IntelliJ IDEA
// (powered by FernFlower decompiler)
//public class RedisTemplate<K, V> extends RedisAccessor implements RedisOperations<K, V>, BeanClassLoaderAware {private boolean enableTransactionSupport = false;private boolean exposeConnection = false;private boolean initialized = false;private boolean enableDefaultSerializer = true;@Nullableprivate RedisSerializer<?> defaultSerializer;@Nullableprivate ClassLoader classLoader;@Nullableprivate RedisSerializer keySerializer = null;@Nullableprivate RedisSerializer valueSerializer = null;@Nullableprivate RedisSerializer hashKeySerializer = null;@Nullableprivate RedisSerializer hashValueSerializer = null;private RedisSerializer<String> stringSerializer = RedisSerializer.string();@Nullableprivate ScriptExecutor<K> scriptExecutor;private final BoundOperationsProxyFactory boundOperations = new BoundOperationsProxyFactory();private final ValueOperations<K, V> valueOps = new DefaultValueOperations(this);private final ListOperations<K, V> listOps = new DefaultListOperations(this);private final SetOperations<K, V> setOps = new DefaultSetOperations(this);private final StreamOperations<K, ?, ?> streamOps = new DefaultStreamOperations(this, ObjectHashMapper.getSharedInstance());private final ZSetOperations<K, V> zSetOps = new DefaultZSetOperations(this);private final GeoOperations<K, V> geoOps = new DefaultGeoOperations(this);private final HyperLogLogOperations<K, V> hllOps = new DefaultHyperLogLogOperations(this);private final ClusterOperations<K, V> clusterOps = new DefaultClusterOperations(this);public RedisTemplate() {}public void afterPropertiesSet() {super.afterPropertiesSet();if (this.defaultSerializer == null) {this.defaultSerializer = new JdkSerializationRedisSerializer(this.classLoader != null ? this.classLoader : this.getClass().getClassLoader());}if (this.enableDefaultSerializer) {if (this.keySerializer == null) {this.keySerializer = this.defaultSerializer;}if (this.valueSerializer == null) {this.valueSerializer = this.defaultSerializer;}if (this.hashKeySerializer == null) {this.hashKeySerializer = this.defaultSerializer;}if (this.hashValueSerializer == null) {this.hashValueSerializer = this.defaultSerializer;}}if (this.scriptExecutor == null) {this.scriptExecutor = new DefaultScriptExecutor(this);}this.initialized = true;}public boolean isExposeConnection() {return this.exposeConnection;}public void setExposeConnection(boolean exposeConnection) {this.exposeConnection = exposeConnection;}public boolean isEnableDefaultSerializer() {return this.enableDefaultSerializer;}public void setEnableDefaultSerializer(boolean enableDefaultSerializer) {this.enableDefaultSerializer = enableDefaultSerializer;}public void setEnableTransactionSupport(boolean enableTransactionSupport) {this.enableTransactionSupport = enableTransactionSupport;}public void setBeanClassLoader(ClassLoader classLoader) {this.classLoader = classLoader;}@Nullablepublic RedisSerializer<?> getDefaultSerializer() {return this.defaultSerializer;}public void setDefaultSerializer(RedisSerializer<?> serializer) {this.defaultSerializer = serializer;}public void setKeySerializer(RedisSerializer<?> serializer) {this.keySerializer = serializer;}public RedisSerializer<?> getKeySerializer() {return this.keySerializer;}public void setValueSerializer(RedisSerializer<?> serializer) {this.valueSerializer = serializer;}public RedisSerializer<?> getValueSerializer() {return this.valueSerializer;}public RedisSerializer<?> getHashKeySerializer() {return this.hashKeySerializer;}public void setHashKeySerializer(RedisSerializer<?> hashKeySerializer) {this.hashKeySerializer = hashKeySerializer;}public RedisSerializer<?> getHashValueSerializer() {return this.hashValueSerializer;}public void setHashValueSerializer(RedisSerializer<?> hashValueSerializer) {this.hashValueSerializer = hashValueSerializer;}public RedisSerializer<String> getStringSerializer() {return this.stringSerializer;}public void setStringSerializer(RedisSerializer<String> stringSerializer) {this.stringSerializer = stringSerializer;}public void setScriptExecutor(ScriptExecutor<K> scriptExecutor) {this.scriptExecutor = scriptExecutor;}@Nullablepublic <T> T execute(RedisCallback<T> action) {return this.execute(action, this.isExposeConnection());}@Nullablepublic <T> T execute(RedisCallback<T> action, boolean exposeConnection) {return this.execute(action, exposeConnection, false);}@Nullablepublic <T> T execute(RedisCallback<T> action, boolean exposeConnection, boolean pipeline) {Assert.isTrue(this.initialized, "template not initialized; call afterPropertiesSet() before using it");Assert.notNull(action, "Callback object must not be null");RedisConnectionFactory factory = this.getRequiredConnectionFactory();RedisConnection conn = RedisConnectionUtils.getConnection(factory, this.enableTransactionSupport);Object var11;try {boolean existingConnection = TransactionSynchronizationManager.hasResource(factory);RedisConnection connToUse = this.preProcessConnection(conn, existingConnection);boolean pipelineStatus = connToUse.isPipelined();if (pipeline && !pipelineStatus) {connToUse.openPipeline();}RedisConnection connToExpose = exposeConnection ? connToUse : this.createRedisConnectionProxy(connToUse);T result = action.doInRedis(connToExpose);if (pipeline && !pipelineStatus) {connToUse.closePipeline();}var11 = this.postProcessResult(result, connToUse, existingConnection);} finally {RedisConnectionUtils.releaseConnection(conn, factory);}return var11;}public <T> T execute(SessionCallback<T> session) {Assert.isTrue(this.initialized, "template not initialized; call afterPropertiesSet() before using it");Assert.notNull(session, "Callback object must not be null");RedisConnectionFactory factory = this.getRequiredConnectionFactory();RedisConnectionUtils.bindConnection(factory, this.enableTransactionSupport);Object var3;try {var3 = session.execute(this);} finally {RedisConnectionUtils.unbindConnection(factory);}return var3;}public List<Object> executePipelined(SessionCallback<?> session) {return this.executePipelined(session, this.valueSerializer);}public List<Object> executePipelined(SessionCallback<?> session, @Nullable RedisSerializer<?> resultSerializer) {Assert.isTrue(this.initialized, "template not initialized; call afterPropertiesSet() before using it");Assert.notNull(session, "Callback object must not be null");RedisConnectionFactory factory = this.getRequiredConnectionFactory();RedisConnectionUtils.bindConnection(factory, this.enableTransactionSupport);List var4;try {var4 = (List)this.execute((connection) -> {connection.openPipeline();boolean pipelinedClosed = false;List var7;try {Object result = this.executeSession(session);if (result != null) {throw new InvalidDataAccessApiUsageException("Callback cannot return a non-null value as it gets overwritten by the pipeline");}List<Object> closePipeline = connection.closePipeline();pipelinedClosed = true;var7 = this.deserializeMixedResults(closePipeline, resultSerializer, this.hashKeySerializer, this.hashValueSerializer);} finally {if (!pipelinedClosed) {connection.closePipeline();}}return var7;});} finally {RedisConnectionUtils.unbindConnection(factory);}return var4;}public List<Object> executePipelined(RedisCallback<?> action) {return this.executePipelined(action, this.valueSerializer);}public List<Object> executePipelined(RedisCallback<?> action, @Nullable RedisSerializer<?> resultSerializer) {return (List)this.execute((connection) -> {connection.openPipeline();boolean pipelinedClosed = false;List var7;try {Object result = action.doInRedis(connection);if (result != null) {throw new InvalidDataAccessApiUsageException("Callback cannot return a non-null value as it gets overwritten by the pipeline");}List<Object> closePipeline = connection.closePipeline();pipelinedClosed = true;var7 = this.deserializeMixedResults(closePipeline, resultSerializer, this.hashKeySerializer, this.hashValueSerializer);} finally {if (!pipelinedClosed) {connection.closePipeline();}}return var7;});}public <T> T execute(RedisScript<T> script, List<K> keys, Object... args) {return this.scriptExecutor.execute(script, keys, args);}public <T> T execute(RedisScript<T> script, RedisSerializer<?> argsSerializer, RedisSerializer<T> resultSerializer, List<K> keys, Object... args) {return this.scriptExecutor.execute(script, argsSerializer, resultSerializer, keys, args);}public <T extends Closeable> T executeWithStickyConnection(RedisCallback<T> callback) {Assert.isTrue(this.initialized, "template not initialized; call afterPropertiesSet() before using it");Assert.notNull(callback, "Callback object must not be null");RedisConnectionFactory factory = this.getRequiredConnectionFactory();RedisConnection connection = this.preProcessConnection(RedisConnectionUtils.doGetConnection(factory, true, false, false), false);return (Closeable)callback.doInRedis(connection);}private Object executeSession(SessionCallback<?> session) {return session.execute(this);}protected RedisConnection createRedisConnectionProxy(RedisConnection connection) {Class<?>[] ifcs = ClassUtils.getAllInterfacesForClass(connection.getClass(), this.getClass().getClassLoader());return (RedisConnection)Proxy.newProxyInstance(connection.getClass().getClassLoader(), ifcs, new CloseSuppressingInvocationHandler(connection));}protected RedisConnection preProcessConnection(RedisConnection connection, boolean existingConnection) {return connection;}@Nullableprotected <T> T postProcessResult(@Nullable T result, RedisConnection conn, boolean existingConnection) {return result;}public Boolean copy(K source, K target, boolean replace) {byte[] sourceKey = this.rawKey(source);byte[] targetKey = this.rawKey(target);return (Boolean)this.doWithKeys((connection) -> {return connection.copy(sourceKey, targetKey, replace);});}public Boolean hasKey(K key) {byte[] rawKey = this.rawKey(key);return (Boolean)this.doWithKeys((connection) -> {return connection.exists(rawKey);});}public Long countExistingKeys(Collection<K> keys) {Assert.notNull(keys, "Keys must not be null");byte[][] rawKeys = this.rawKeys(keys);return (Long)this.doWithKeys((connection) -> {return connection.exists(rawKeys);});}public Boolean delete(K key) {byte[] rawKey = this.rawKey(key);Long result = (Long)this.doWithKeys((connection) -> {return connection.del(new byte[][]{rawKey});});return result != null && result.intValue() == 1;}public Long delete(Collection<K> keys) {if (CollectionUtils.isEmpty(keys)) {return 0L;} else {byte[][] rawKeys = this.rawKeys(keys);return (Long)this.doWithKeys((connection) -> {return connection.del(rawKeys);});}}public Boolean unlink(K key) {byte[] rawKey = this.rawKey(key);Long result = (Long)this.doWithKeys((connection) -> {return connection.unlink(new byte[][]{rawKey});});return result != null && result.intValue() == 1;}public Long unlink(Collection<K> keys) {if (CollectionUtils.isEmpty(keys)) {return 0L;} else {byte[][] rawKeys = this.rawKeys(keys);return (Long)this.doWithKeys((connection) -> {return connection.unlink(rawKeys);});}}public DataType type(K key) {byte[] rawKey = this.rawKey(key);return (DataType)this.doWithKeys((connection) -> {return connection.type(rawKey);});}public Set<K> keys(K pattern) {byte[] rawKey = this.rawKey(pattern);Set<byte[]> rawKeys = (Set)this.doWithKeys((connection) -> {return connection.keys(rawKey);});return this.keySerializer != null ? SerializationUtils.deserialize(rawKeys, this.keySerializer) : rawKeys;}public Cursor<K> scan(ScanOptions options) {Assert.notNull(options, "ScanOptions must not be null");return (Cursor)this.executeWithStickyConnection((connection) -> {return new ConvertingCursor(connection.scan(options), this::deserializeKey);});}public K randomKey() {byte[] rawKey = (byte[])this.doWithKeys(RedisKeyCommands::randomKey);return this.deserializeKey(rawKey);}public void rename(K oldKey, K newKey) {byte[] rawOldKey = this.rawKey(oldKey);byte[] rawNewKey = this.rawKey(newKey);this.doWithKeys((connection) -> {connection.rename(rawOldKey, rawNewKey);return null;});}public Boolean renameIfAbsent(K oldKey, K newKey) {byte[] rawOldKey = this.rawKey(oldKey);byte[] rawNewKey = this.rawKey(newKey);return (Boolean)this.doWithKeys((connection) -> {return connection.renameNX(rawOldKey, rawNewKey);});}public Boolean expire(K key, final long timeout, final TimeUnit unit) {byte[] rawKey = this.rawKey(key);long rawTimeout = TimeoutUtils.toMillis(timeout, unit);return (Boolean)this.doWithKeys((connection) -> {try {return connection.pExpire(rawKey, rawTimeout);} catch (Exception var8) {return connection.expire(rawKey, TimeoutUtils.toSeconds(timeout, unit));}});}public Boolean expireAt(K key, final Date date) {byte[] rawKey = this.rawKey(key);return (Boolean)this.doWithKeys((connection) -> {try {return connection.pExpireAt(rawKey, date.getTime());} catch (Exception var4) {return connection.expireAt(rawKey, date.getTime() / 1000L);}});}public Boolean persist(K key) {byte[] rawKey = this.rawKey(key);return (Boolean)this.doWithKeys((connection) -> {return connection.persist(rawKey);});}public Long getExpire(K key) {byte[] rawKey = this.rawKey(key);return (Long)this.doWithKeys((connection) -> {return connection.ttl(rawKey);});}public Long getExpire(K key, TimeUnit timeUnit) {byte[] rawKey = this.rawKey(key);return (Long)this.doWithKeys((connection) -> {try {return connection.pTtl(rawKey, timeUnit);} catch (Exception var4) {return connection.ttl(rawKey, timeUnit);}});}public Boolean move(K key, final int dbIndex) {byte[] rawKey = this.rawKey(key);return (Boolean)this.doWithKeys((connection) -> {return connection.move(rawKey, dbIndex);});}public byte[] dump(K key) {byte[] rawKey = this.rawKey(key);return (byte[])this.doWithKeys((connection) -> {return connection.dump(rawKey);});}public void restore(K key, byte[] value, long timeToLive, TimeUnit unit, boolean replace) {byte[] rawKey = this.rawKey(key);long rawTimeout = TimeoutUtils.toMillis(timeToLive, unit);this.doWithKeys((connection) -> {connection.restore(rawKey, rawTimeout, value, replace);return null;});}@Nullableprivate <T> T doWithKeys(Function<RedisKeyCommands, T> action) {return this.execute((connection) -> {return action.apply(connection.keyCommands());}, true);}public List<V> sort(SortQuery<K> query) {return this.sort(query, this.valueSerializer);}public <T> List<T> sort(SortQuery<K> query, @Nullable RedisSerializer<T> resultSerializer) {byte[] rawKey = this.rawKey(query.getKey());SortParameters params = QueryUtils.convertQuery(query, this.stringSerializer);List<byte[]> vals = (List)this.doWithKeys((connection) -> {return connection.sort(rawKey, params);});return SerializationUtils.deserialize(vals, resultSerializer);}public <T> List<T> sort(SortQuery<K> query, BulkMapper<T, V> bulkMapper) {return this.sort(query, bulkMapper, this.valueSerializer);}public <T, S> List<T> sort(SortQuery<K> query, BulkMapper<T, S> bulkMapper, @Nullable RedisSerializer<S> resultSerializer) {List<S> values = this.sort(query, resultSerializer);if (values != null && !values.isEmpty()) {int bulkSize = query.getGetPattern().size();List<T> result = new ArrayList(values.size() / bulkSize + 1);List<S> bulk = new ArrayList(bulkSize);Iterator var8 = values.iterator();while(var8.hasNext()) {S s = var8.next();bulk.add(s);if (bulk.size() == bulkSize) {result.add(bulkMapper.mapBulk(Collections.unmodifiableList(bulk)));bulk = new ArrayList(bulkSize);}}return result;} else {return Collections.emptyList();}}public Long sort(SortQuery<K> query, K storeKey) {byte[] rawStoreKey = this.rawKey(storeKey);byte[] rawKey = this.rawKey(query.getKey());SortParameters params = QueryUtils.convertQuery(query, this.stringSerializer);return (Long)this.doWithKeys((connection) -> {return connection.sort(rawKey, params, rawStoreKey);});}public void watch(K key) {byte[] rawKey = this.rawKey(key);this.executeWithoutResult((connection) -> {connection.watch(new byte[][]{rawKey});});}public void watch(Collection<K> keys) {byte[][] rawKeys = this.rawKeys(keys);this.executeWithoutResult((connection) -> {connection.watch(rawKeys);});}public void unwatch() {this.executeWithoutResult(RedisTxCommands::unwatch);}public void multi() {this.executeWithoutResult(RedisTxCommands::multi);}public void discard() {this.executeWithoutResult(RedisTxCommands::discard);}public List<Object> exec() {List<Object> results = this.execRaw();return this.getRequiredConnectionFactory().getConvertPipelineAndTxResults() ? this.deserializeMixedResults(results, this.valueSerializer, this.hashKeySerializer, this.hashValueSerializer) : results;}public List<Object> exec(RedisSerializer<?> valueSerializer) {return this.deserializeMixedResults(this.execRaw(), valueSerializer, valueSerializer, valueSerializer);}protected List<Object> execRaw() {List<Object> raw = (List)this.execute(RedisTxCommands::exec);return raw == null ? Collections.emptyList() : raw;}public List<RedisClientInfo> getClientList() {return (List)this.execute(RedisServerCommands::getClientList);}public void killClient(String host, int port) {this.executeWithoutResult((connection) -> {connection.killClient(host, port);});}public void replicaOf(String host, int port) {this.executeWithoutResult((connection) -> {connection.replicaOf(host, port);});}public void replicaOfNoOne() {this.executeWithoutResult(RedisServerCommands::replicaOfNoOne);}public Long convertAndSend(String channel, Object message) {Assert.hasText(channel, "a non-empty channel is required");byte[] rawChannel = this.rawString(channel);byte[] rawMessage = this.rawValue(message);return (Long)this.execute((connection) -> {return connection.publish(rawChannel, rawMessage);}, true);}private void executeWithoutResult(Consumer<RedisConnection> action) {this.execute((it) -> {action.accept(it);return null;}, true);}public ClusterOperations<K, V> opsForCluster() {return this.clusterOps;}public GeoOperations<K, V> opsForGeo() {return this.geoOps;}public BoundGeoOperations<K, V> boundGeoOps(K key) {return (BoundGeoOperations)this.boundOperations.createProxy(BoundGeoOperations.class, key, DataType.ZSET, this, RedisOperations::opsForGeo);}public <HK, HV> BoundHashOperations<K, HK, HV> boundHashOps(K key) {return (BoundHashOperations)this.boundOperations.createProxy(BoundHashOperations.class, key, DataType.HASH, this, (it) -> {return it.opsForHash();});}public <HK, HV> HashOperations<K, HK, HV> opsForHash() {return new DefaultHashOperations(this);}public HyperLogLogOperations<K, V> opsForHyperLogLog() {return this.hllOps;}public ListOperations<K, V> opsForList() {return this.listOps;}public BoundListOperations<K, V> boundListOps(K key) {return (BoundListOperations)this.boundOperations.createProxy(BoundListOperations.class, key, DataType.LIST, this, RedisOperations::opsForList);}public BoundSetOperations<K, V> boundSetOps(K key) {return (BoundSetOperations)this.boundOperations.createProxy(BoundSetOperations.class, key, DataType.SET, this, RedisOperations::opsForSet);}public SetOperations<K, V> opsForSet() {return this.setOps;}public <HK, HV> StreamOperations<K, HK, HV> opsForStream() {return this.streamOps;}public <HK, HV> StreamOperations<K, HK, HV> opsForStream(HashMapper<? super K, ? super HK, ? super HV> hashMapper) {return new DefaultStreamOperations(this, hashMapper);}public <HK, HV> BoundStreamOperations<K, HK, HV> boundStreamOps(K key) {return (BoundStreamOperations)this.boundOperations.createProxy(BoundStreamOperations.class, key, DataType.STREAM, this, (it) -> {return this.opsForStream();});}public BoundValueOperations<K, V> boundValueOps(K key) {return (BoundValueOperations)this.boundOperations.createProxy(BoundValueOperations.class, key, DataType.STRING, this, RedisOperations::opsForValue);}public ValueOperations<K, V> opsForValue() {return this.valueOps;}public BoundZSetOperations<K, V> boundZSetOps(K key) {return (BoundZSetOperations)this.boundOperations.createProxy(BoundZSetOperations.class, key, DataType.ZSET, this, RedisOperations::opsForZSet);}public ZSetOperations<K, V> opsForZSet() {return this.zSetOps;}private byte[] rawKey(Object key) {Assert.notNull(key, "non null key required");if (this.keySerializer == null && key instanceof byte[] bytes) {return bytes;} else {return this.keySerializer.serialize(key);}}private byte[] rawString(String key) {return this.stringSerializer.serialize(key);}private byte[] rawValue(Object value) {if (this.valueSerializer == null && value instanceof byte[] bytes) {return bytes;} else {return this.valueSerializer.serialize(value);}}private byte[][] rawKeys(Collection<K> keys) {byte[][] rawKeys = new byte[keys.size()][];int i = 0;Object key;for(Iterator var4 = keys.iterator(); var4.hasNext(); rawKeys[i++] = this.rawKey(key)) {key = var4.next();}return rawKeys;}private K deserializeKey(byte[] value) {return this.keySerializer != null ? this.keySerializer.deserialize(value) : value;}@Nullableprivate List<Object> deserializeMixedResults(@Nullable List<Object> rawValues, @Nullable RedisSerializer valueSerializer, @Nullable RedisSerializer hashKeySerializer, @Nullable RedisSerializer hashValueSerializer) {if (rawValues == null) {return null;} else {List<Object> values = new ArrayList();Iterator var6 = rawValues.iterator();while(true) {while(var6.hasNext()) {Object rawValue = var6.next();if (rawValue instanceof byte[]) {byte[] bytes = (byte[])rawValue;if (valueSerializer != null) {values.add(valueSerializer.deserialize(bytes));continue;}}if (rawValue instanceof List) {List list = (List)rawValue;values.add(this.deserializeMixedResults(list, valueSerializer, hashKeySerializer, hashValueSerializer));} else {if (rawValue instanceof Set) {Set set = (Set)rawValue;if (!set.isEmpty()) {values.add(this.deserializeSet(set, valueSerializer));continue;}}if (rawValue instanceof Map) {Map map = (Map)rawValue;if (!map.isEmpty() && map.values().iterator().next() instanceof byte[]) {values.add(SerializationUtils.deserialize(map, hashKeySerializer, hashValueSerializer));continue;}}values.add(rawValue);}}return values;}}}private Set<?> deserializeSet(Set rawSet, @Nullable RedisSerializer valueSerializer) {if (rawSet.isEmpty()) {return rawSet;} else {Object setValue = rawSet.iterator().next();if (setValue instanceof byte[] && valueSerializer != null) {return SerializationUtils.deserialize(rawSet, valueSerializer);} else {return setValue instanceof Tuple ? this.convertTupleValues(rawSet, valueSerializer) : rawSet;}}}private Set<ZSetOperations.TypedTuple<V>> convertTupleValues(Set<Tuple> rawValues, @Nullable RedisSerializer valueSerializer) {Set<ZSetOperations.TypedTuple<V>> set = new LinkedHashSet(rawValues.size());Tuple rawValue;Object value;for(Iterator var4 = rawValues.iterator(); var4.hasNext(); set.add(new DefaultTypedTuple(value, rawValue.getScore()))) {rawValue = (Tuple)var4.next();value = rawValue.getValue();if (valueSerializer != null) {value = valueSerializer.deserialize(rawValue.getValue());}}return set;}
}

继承结构

很明显StringRedisTemplate和RedisTemplate是父类和子类关系。

在上面源码里看到，StringRedisTemplate并无重写RedisTemplate的任何方法。所以拥有RedisTemplate的所有方法。

五：StringRedisTemplate的主要方法有哪些？怎么设置缓存过期时间？

StringRedisTemplate是Spring Framework提供的一个用于操作Redis数据库中String类型数据的模板类。它基于RedisTemplate实现，并专注于处理Redis中的String类型数据，提供了一系列简化操作的方法。以下是StringRedisTemplate的一些常用方法讲解：

1. 字符串操作

设置和获取值

• opsForValue().set(String key, String value)：向Redis中存入一个字符串类型的键值对。
• opsForValue().get(Object key)：根据键获取对应的值。

设置带有过期时间的值

• opsForValue().set(String key, String value, long timeout, TimeUnit unit)：向Redis中存入一个字符串类型的键值对，并设置过期时间。timeout是过期时长，unit是时间单位（如秒、分钟等）。

递增和递减

• opsForValue().increment(String key)：将存储在键中的数字值增加1。
• opsForValue().increment(String key, long delta)：将存储在键中的数字值增加指定的增量值delta。
• opsForValue().decrement(String key)和opsForValue().decrement(String key, long delta)：与递增操作类似，但用于减少数字值。

2. 哈希操作

• opsForHash().put(String key, Object hashKey, Object value)：向哈希表中添加一个字段。
• opsForHash().entries(String key)：获取存储在哈希表中指定键的所有字段和值。

3. 列表操作

• opsForList().leftPush(String key, String value)：将一个或多个值插入到列表头部。
• opsForList().rightPush(String key, String value)：将一个或多个值插入到列表尾部。
• opsForList().range(String key, long start, long end)：通过索引区间返回列表中的一部分元素。

4. 集合操作

• opsForSet().add(String key, String... values)：向集合添加一个或多个成员。
• opsForSet().members(String key)：返回集合中的所有成员。

5. 有序集合操作

• opsForZSet().add(String key, double score, String value)：将一个或多个成员及其分数加入到有序集合中。
• opsForZSet().range(String key, long start, long end)：通过索引区间返回有序集合中指定区间的成员。

6. 其他常用方法

• delete(String key, Object... keys)：根据提供的键删除缓存中的数据。
• hasKey(String key)：检查键是否存在。
• getExpire(String key, TimeUnit unit)：获取键的剩余生存时间，并转换成指定的时间单位。

注意事项

• 使用StringRedisTemplate时，通常不需要额外配置序列化器，因为它默认使用String序列化策略。但如果需要存储复杂对象，可能需要自定义序列化器。
• StringRedisTemplate提供的方法非常丰富，这里只列举了一些常用方法。更多方法可以通过查看官方文档或源码来了解。

总的来说，StringRedisTemplate是Spring Data Redis中一个非常实用的工具类，它简化了Redis的操作，使开发者能够更轻松地将Redis集成到Spring应用程序中。

六：opsForSet()和opsForZSet()有什么区别？

opsForSet()和opsForZSet()是RedisTemplate类中提供的两个方法，它们分别用于操作Redis中的SET和ZSET（Sorted Set）数据结构。以下是这两个方法的主要区别：

1. 数据结构特性

• opsForSet()：用于操作SET数据结构。SET是一个无序的、不包含重复元素的字符串集合。SET中的元素没有特定的顺序，且每个元素都是唯一的。
• opsForZSet()：用于操作ZSET数据结构。ZSET是一个有序的、不包含重复元素的字符串集合，每个元素都会关联一个分数（score），Redis会根据这个分数对元素进行排序。

2. 支持的操作

• opsForSet()：支持的操作包括添加元素（SADD）、删除元素（SREM）、判断元素是否存在（SISMEMBER）、获取集合中的所有元素（SMEMBERS）、获取集合大小（SCARD）等。SET主要用于存储不需要排序的、唯一的元素集合。
• opsForZSet()：除了支持类似SET的添加（ZADD）、删除（ZREM）和查找（ZSCORE）操作外，还支持根据分数范围查询元素（ZRANGEBYSCORE、ZREVRANGEBYSCORE）、获取元素的排名（ZRANK、ZREVRANK）、计算分数范围内的元素数量（ZCOUNT）等高级功能。ZSET主要用于需要根据分数进行排序或统计的场景。

3. 排序与分数

• opsForSet()：由于SET是无序的，因此不支持根据任何特定顺序对元素进行排序或检索。
• opsForZSet()：ZSET中的元素会根据关联的分数进行排序。可以通过分数范围或排名来检索元素，这使得ZSET非常适合用于实现排行榜、评分系统等需要排序或统计的场景。

4. 性能考虑

• opsForSet()：由于SET是无序的，且每个元素都是唯一的，因此其操作时间复杂度一般为O(1)，即常数时间复杂度，这使得它在处理大量数据时具有较高的效率。
• opsForZSet()：虽然ZSET提供了排序功能，但其操作时间复杂度一般为O(logN)，其中N是集合中元素的数量。这意味着随着集合大小的增加，操作所需的时间也会相应增加，但仍然保持较高的效率。

综上所述，opsForSet()和opsForZSet()的主要区别在于它们操作的数据结构特性、支持的操作、排序与分数以及性能考虑等方面。在选择使用哪个方法时，应根据实际需求进行权衡和选择。