/**
* NOTE: This file has been copied and slightly modified from {com
.alibaba
.csp
.sentinel
.datasource
.redis}
.
* <p>
* <h2>Redis Datasource Task Elements Operation</h2>
*
* This class is a concrete implementation of a remote configuration data source,
* built on top of Redis's high-performance read/write capabilities and Pub/Sub real-time
* messaging mechanism
. It enables dynamic loading, listening, and publishing of rule or
* configuration data with low latency and strong consistency
.
*
* <p>The primary design objectives are:</p>
*
* <ul>
* <li><b>Real-time Updates</b>: Subscribes to a designated Redis Pub/Sub channel to detect
* configuration changes immediately and trigger hot-reload events
.</li>
* <li><b>Deployment Flexibility</b>: Supports multiple Redis deployment modes including
* standalone, Sentinel (for high availability), and Redis Cluster (for horizontal scaling)
.</li>
* <li><b>Security Support</b>: Provides full SSL/TLS encryption support with compatibility for
* both JKS and PEM certificate formats, meeting production security requirements
.</li>
* <li><b>Extensibility</b>: Extends {@link RemoteDatasourceTaskElementsOperation}, adhering to a unified
* datasource abstraction contract
. Can be seamlessly integrated into systems requiring
* runtime reconfiguration, such as rule engines, policy managers, or distributed gateways
.</li>
* </ul>
*
* <h3>Working Principle</h3>
* <p>During initialization, the class automatically selects the appropriate client based on
* the provided {@link RedisConnectionConfig}:
* <ul>
* <li>If cluster nodes are configured, it creates a {@link RedisClusterClient}
.</li>
* <li>Otherwise, it uses a {@link RedisClient} for standalone or Sentinel mode connections
.</li>
* </ul>
*
* Additionally, it sets up a "lazy-loaded" subscription via {@link #setLazyListener(java
.util
.function
.Supplier)} —
* meaning the actual Pub/Sub connection and subscription occur only when an external system
* explicitly requests listening (e
.g
., during startup of a configuration watcher)
.
* This lazy initialization strategy reduces resource consumption and improves application startup time
.
*
* <h3>Key Method Overview</h3>
* <table border="1" cell-padding="8">
* <tr><th>Method</th><th>Purpose</th></tr>
* <tr>
* <td>{@link #getRemoteConfigInfo()}</td>
* <td>Retrieves the current configuration value associated with {@code ruleKey} from Redis (via GET)</td>
* </tr>
* <tr>
* <td>{@link #publishConfig(String)}</td>
* <td>Publishes new configuration data to Redis (via SET), typically used to broadcast updates</td>
* </tr>
* <tr>
* <td>{@link #subscribeFromChannel(String)}</td>
* <td>Establishes a Pub/Sub connection and subscribes to a specific channel; incoming messages
* are dispatched through {@link DelegatingRedisPubSubListener}</td>
* </tr>
* <tr>
* <td>{@link #close()}</td>
* <td>Gracefully shuts down the Redis client and releases all underlying resources</td>
* </tr>
* </table>
*
* <h3>Typical Use Cases</h3>
* <ul>
* <li>Dynamic rule loading in rule engines (e
.g
., Drools,
Easy Rules)</li>
* <li>Hot-reloading of distributed configurations in microservices</li>
* <li>Real-time policy or permission updates in access control systems</li>
* <li>Centralized rate-limiting or circuit-breaker configuration management</li>
* </ul>
* <h3>Example Usage</h3>
* <pre>{@code
* RedisConnectionConfig config = new RedisConnectionConfig();
* config
.setHost("localhost");
* config
.setPort(6379);
* config
.setTimeout(5000);
*
* RedisDatasourceTaskElementsOperation redisSource =
* new RedisDatasourceTaskElementsOperation(config, "rule:flow", "channel:rule-update", ConfigFormat
.JSON);
*
* // Retrieve current configuration
* String currentConfig = redisSource
.getRemoteConfigInfo();
*
* // Start listening (triggers lazy subscription)
* redisSource
.startListen();
*
* // Publish new config (other instances will receive notification)
* redisSource
.publishConfig("{\"rateLimit\": 1000}");
*
* // Clean up resources
* redisSource
.close();
* }</pre>
*
* @author <a href="mailto:929160069@qq
.com">zhangpengfei</a>
* @since 3
.0
.2
*/
编译报错
[ERROR] /Users/zhangpengfei/workspace/
assembly/
assembly-simplified-cron/cron-redis-datasource-driven-scheduled/src/main/java/top/osjf/cron/datasource/driven/scheduled/redis/RedisDatasourceTaskElementsOperation
.java:97: 错误: 此处不允许使用标记: <tr>
[ERROR] * <tr>
本文介绍了一个关于塔合并的问题，目标是将多个塔通过特定规则合并成一个递增序列的塔。文章详细阐述了解决方案，包括如何计算所需的操作次数，并提供了一段C++代码实现。
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