feat(syslog): 完成高吞吐可靠链路与统计存储优化

- 新增接入 WAL、检查点、背压恢复及可靠分发机制，完善 Kafka 幂等发布、分区、重试、DLT 和补偿流程
- 引入规则预编译、批内快照及 JetCache/Caffeine 两级缓存，支持缓存失效广播、影子对账和执行指标
- 升级 InfluxDB V2 原始日志模型，统一接收时间与 Point 时间，支持按日 measurement、UUID 分桶及 V1/V2 双读
- 重构达梦标准化批量写入与统计链路，支持事务内直写、增量投影、幂等控制、窗口水位和日期切换
- 完善告警处理、配置校验、运行监控及测试覆盖

haobang-security-dm/syslog-consumer-rule/src/main/java/com/config/ThreadPoolConfig.java

@@ -25,8 +25,14 @@ public class ThreadPoolConfig {
     @Value("${app.processor.thread-pool.keep-alive-seconds:60}")
     private int keepAliveSeconds;
 
+    @Value("${dm.standardized-write.writer-concurrency:2}")
+    private int dmWriterConcurrency;
+
+    @Value("${dm.standardized-write.writer-queue-capacity:100}")
+    private int dmWriterQueueCapacity;
+
     @Bean("logNormalProcessorExecutor")
-    @Primary  // 添加这个注解
+    @Primary
     public Executor logNormalProcessorExecutor() {
         ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
         executor.setCorePoolSize(corePoolSize);
@@ -35,8 +41,8 @@ public class ThreadPoolConfig {
         executor.setKeepAliveSeconds(keepAliveSeconds);
         executor.setThreadNamePrefix("log-processor-");
 
-        // 拒绝策略：由调用线程处理该任务（保证不丢失消息）
-        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
+        // 队列耗尽时明确失败并保留 Kafka offset，不能在 listener 线程中无限兜底执行而掩盖过载。
+        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.AbortPolicy());
 
         // 等待所有任务结束后再关闭线程池
         executor.setWaitForTasksToCompleteOnShutdown(true);
@@ -44,4 +50,25 @@ public class ThreadPoolConfig {
         executor.initialize();
         return executor;
     }
-}
+
+    /**
+     * 达梦批写使用独立的有界线程池，不能复用规则计算线程池。
+     *
+     * <p>分离后，少量慢 SQL 不会占满所有标准化计算线程；AbortPolicy 会把过载明确返回到
+     * Kafka ACK 边界，由消费者保留 offset 形成背压，而不是在内存中无限排队。</p>
+     */
+    @Bean("dmStandardizedWriterExecutor")
+    public Executor dmStandardizedWriterExecutor() {
+        int concurrency = Math.max(1, dmWriterConcurrency);
+        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
+        executor.setCorePoolSize(concurrency);
+        executor.setMaxPoolSize(concurrency);
+        executor.setQueueCapacity(Math.max(1, dmWriterQueueCapacity));
+        executor.setThreadNamePrefix("dm-batch-writer-");
+        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.AbortPolicy());
+        executor.setWaitForTasksToCompleteOnShutdown(true);
+        executor.setAwaitTerminationSeconds(60);
+        executor.initialize();
+        return executor;
+    }
+}