perf(syslog-consumer-rule): 非标日志改为单线程异步批量写入

- 非标写库结果不再参与 Kafka ACK
- 使用独立单线程和有界队列处理非标日志
- 非标数据按固定大小分批写入达梦
- 增加异步成功、失败和队列拒绝指标
- 补充异步解耦及批量写入测试

perf(syslog-consumer-rule): 按批次字段并集优化达梦批量写入

- 普通日志和告警日志按非空字段并集生成批写模板
- 为同批记录补齐缺失字段并绑定 NULL
- 使用 MyBatis ExecutorType.BATCH 复用 PreparedStatement
- 避免固定写入全部 373 个候选字段
- 非标日志保留固定 24 列多行批量写入
- 批量大小和非标队列容量默认调整为 500
- 补充字段并集与动态 SQL 一致性测试

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

@@ -31,6 +31,9 @@ public class ThreadPoolConfig {
     @Value("${dm.standardized-write.writer-queue-capacity:100}")
     private int dmWriterQueueCapacity;
 
+    @Value("${dm.non-normal-write.queue-capacity:500}")
+    private int nonNormalWriterQueueCapacity;
+
     @Bean("logNormalProcessorExecutor")
     @Primary
     public Executor logNormalProcessorExecutor() {
@@ -71,4 +74,22 @@ public class ThreadPoolConfig {
         executor.initialize();
         return executor;
     }
+
+    /**
+     * 非标日志使用单独的串行写线程，与正常事实批写解耦。
+     * listener 不等待该线程，队列溢出或异步写入失败只记录错误，不阻塞 Kafka ACK。
+     */
+    @Bean("nonNormalWriterExecutor")
+    public Executor nonNormalWriterExecutor() {
+        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
+        executor.setCorePoolSize(1);
+        executor.setMaxPoolSize(1);
+        executor.setQueueCapacity(Math.max(1, nonNormalWriterQueueCapacity));
+        executor.setThreadNamePrefix("dm-non-normal-writer-");
+        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.AbortPolicy());
+        executor.setWaitForTasksToCompleteOnShutdown(true);
+        executor.setAwaitTerminationSeconds(60);
+        executor.initialize();
+        return executor;
+    }
 }