範例：TLS已啟用叢集模式的 Lettuce 組態 - Amazon ElastiCache

本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。

範例：TLS已啟用叢集模式的 Lettuce 組態

注意

下列範例中的逾時適用於執行 SET/GET 命令的測試，其金鑰和值長度最多為 20 個位元組。在指令很複雜或金鑰和值較大時，處理時間可能會更長。您應該根據應用程式的使用案例設定逾時。

// Set DNS cache TTL
public void setJVMProperties() {
    java.security.Security.setProperty("networkaddress.cache.ttl", "10");
}

private static final Duration META_COMMAND_TIMEOUT = Duration.ofMillis(1000);
private static final Duration DEFAULT_COMMAND_TIMEOUT = Duration.ofMillis(250);
// Socket connect timeout should be lower than command timeout for Lettuce
private static final Duration CONNECT_TIMEOUT = Duration.ofMillis(100);

// Create RedisURI from the cluster configuration endpoint
clusterConfigurationEndpoint = <cluster-configuration-endpoint> // TODO: add your cluster configuration endpoint
final RedisURI redisUriCluster =
    RedisURI.Builder.redis(clusterConfigurationEndpoint)
        .withPort(6379)
        .withSsl(true)
        .build();

// Configure the client's resources                
ClientResources clientResources = DefaultClientResources.builder()
    .reconnectDelay(
        Delay.fullJitter(
            Duration.ofMillis(100),     // minimum 100 millisecond delay
            Duration.ofSeconds(10),      // maximum 10 second delay
            100, TimeUnit.MILLISECONDS)) // 100 millisecond base
    .dnsResolver(new DirContextDnsResolver())
    .build(); 

// Create a cluster client instance with the URI and resources
RedisClusterClient redisClusterClient = 
    RedisClusterClient.create(clientResources, redisUriCluster);

// Use a dynamic timeout for commands, to avoid timeouts during
// cluster management and slow operations.
class DynamicClusterTimeout extends TimeoutSource {
     private static final Set<ProtocolKeyword> META_COMMAND_TYPES = ImmutableSet.<ProtocolKeyword>builder()
          .add(CommandType.FLUSHDB)
          .add(CommandType.FLUSHALL)
          .add(CommandType.CLUSTER)
          .add(CommandType.INFO)
          .add(CommandType.KEYS)
          .build();

    private final Duration metaCommandTimeout;
    private final Duration defaultCommandTimeout;

    DynamicClusterTimeout(Duration defaultTimeout, Duration metaTimeout)
    {
        defaultCommandTimeout = defaultTimeout;
        metaCommandTimeout = metaTimeout;
    }

    @Override
    public long getTimeout(RedisCommand<?, ?, ?> command) {
        if (META_COMMAND_TYPES.contains(command.getType())) {
            return metaCommandTimeout.toMillis();
        }
        return defaultCommandTimeout.toMillis();
    }
}

TimeoutOptions timeoutOptions = TimeoutOptions.builder()
    .timeoutSource(new DynamicClusterTimeout(DEFAULT_COMMAND_TIMEOUT, META_COMMAND_TIMEOUT))
     .build();

// Configure the topology refreshment optionts
final ClusterTopologyRefreshOptions topologyOptions = 
    ClusterTopologyRefreshOptions.builder()
    .enableAllAdaptiveRefreshTriggers()
    .enablePeriodicRefresh()
    .dynamicRefreshSources(true)
    .build();

// Configure the socket options
final SocketOptions socketOptions = 
    SocketOptions.builder()
    .connectTimeout(CONNECT_TIMEOUT) 
    .keepAlive(true)
    .build();

// Configure the client's options
final ClusterClientOptions clusterClientOptions = 
    ClusterClientOptions.builder()
    .topologyRefreshOptions(topologyOptions)
    .socketOptions(socketOptions)
    .autoReconnect(true)
    .timeoutOptions(timeoutOptions) 
    .nodeFilter(it -> 
        ! (it.is(RedisClusterNode.NodeFlag.FAIL) 
        || it.is(RedisClusterNode.NodeFlag.EVENTUAL_FAIL) 
        || it.is(RedisClusterNode.NodeFlag.NOADDR))) 
    .validateClusterNodeMembership(false)
    .build();
    
redisClusterClient.setOptions(clusterClientOptions);

// Get a connection
final StatefulRedisClusterConnection<String, String> connection = 
    redisClusterClient.connect();

// Get cluster sync/async commands   
RedisAdvancedClusterCommands<String, String> sync = connection.sync();
RedisAdvancedClusterAsyncCommands<String, String> async = connection.async();