2026-04-01 优化机场视频推流顺序，先入库再推流。

zhaowenyu

2026-04-01 342236a5694a22c544a217c9f1503e5ac790b609

 ard-sample/src/main/java/com/ard/sample/manage/service/impl/WaylineTrajectoryServiceImpl.java

@@ -73,19 +73,25 @@
        String isOK = "";
        if (type.equals("0")) {
            // 飞行轨迹数据
            listTrajectory.add(dataJson);
            log.info("轨迹点数据添加到列表缓存，当前列表数量：{}", listTrajectory.size());
            if(!listTask.isEmpty()) {
                listTrajectory.add(dataJson);
                log.info("SN:{} 轨迹点数据添加到列表缓存，当前列表数量：{}", sn, listTrajectory.size());
            }
            else {
                cacheTrajectoryMap.put(sn, new ArrayList<>());
                log.info("SN:{} 任务状态数据为空，当前无任务，不保存轨迹点数据", sn);
            }
//            log.info("SN:{} 轨迹点数据：{}", sn, dataJson);
        }
        if (type.equals("1")) {
            // 任务状态数据
            listTask.add(dataJson);
            log.info("任务状态数据添加到列表缓存，当前列表数量：{}", listTask.size());
            log.info("SN:{} 任务状态数据添加到列表缓存，当前列表数量：{}", sn, listTask.size());
        }
        //region 先弃用
        // jobid、status字段赋值
        if (!listTask.isEmpty()) {
            String json = listTask.get(listTask.size() - 1);
            log.info("当前任务记录最后一条数据:{}", json);
            log.info("SN:{} 当前任务记录最后一条数据:{}", sn, json);
            try {
                EventsReceiver<WaylineTaskProgressReceiver> eventsReceiver = mapper.readValue(json,
                    new TypeReference<EventsReceiver<WaylineTaskProgressReceiver>>() {
@@ -93,35 +99,27 @@
            jobId = eventsReceiver.getOutput().getExt().getFlightId();
            isOK = eventsReceiver.getOutput().getStatus();

            log.info("当前任务jobId:{},任务执行进度isOK:{}", jobId, isOK);
            log.info("SN:{} 当前任务jobId:{},任务执行进度isOK:{}", sn, jobId, isOK);

            } catch (Exception e) {
                log.error("解析任务状态JSON失败: {}", e.getMessage());
                log.error("JSON内容: {}", json);
                log.error("SN:{} 解析任务状态JSON失败: {}", sn, e.getMessage());
                log.error("SN:{} JSON内容: {}", sn, json);
            }
        }
        else {
            // 当前任务状态数据为空时，清空缓存
            log.info("SN:{} 任务状态数据为空，当前无任务清空缓存", sn);
            // 清空缓存
            cacheTrajectoryMap.put(sn, new ArrayList<>());
            cacheTaskMap.put(sn, new ArrayList<>());
            return;
        }
//        listTrajectory.size() >= CHUNK_SIZE ||
        // endregion
        if (listTask.size() >= CHUNK_SIZE) {
//            String json = listTask.get(listTask.size() - 1);
//            log.info("当前任务记录最后一条数据:{}", json);
//            try {
//                EventsReceiver<WaylineTaskProgressReceiver> eventsReceiver = mapper.readValue(json,
//                        new TypeReference<EventsReceiver<WaylineTaskProgressReceiver>>() {
//                        });
//                jobId = eventsReceiver.getOutput().getExt().getFlightId();
//                isOK = eventsReceiver.getOutput().getStatus();
//
//                log.info("当前任务jobId:{},任务执行进度isOK:{}", jobId, isOK);
//
//            } catch (Exception e) {
//                log.error("解析任务状态JSON失败: {}", e.getMessage());
//                log.error("JSON内容: {}", json);
//            }
//            progress = Convert.toStr(pro + 1);
            // 分片保存
            save(sn, jobId, "0");
            log.info("当前任务保存成功，jobId:{}, listTrajectory.size():{}，listTask.size():{}", jobId, listTrajectory.size(), listTask.size());
            log.info("SN:{} 当前任务保存成功，jobId:{}, listTrajectory.size():{}，listTask.size():{}",
                    sn, jobId, listTrajectory.size(), listTask.size());
//            log.info("当前任务保存成功，jobId:{},进度：{}",jobId , progress);
        } else {
            // 判断任务状态json中的status字段，如果为OK，则保存数据，一条完整的航线数据结束。
@@ -129,31 +127,48 @@
                if (isOK.equals("ok")) {
                    String progress = "ok";
                    if (getWaylineTrajectoryByProgress(jobId, progress)) {
                        log.info("当前任务已完成，不再保存数据！jobId:{},progress:{}", jobId, progress);
                        log.info("SN:{} 当前任务已完成，不再保存数据！jobId:{},progress:{}", sn, jobId, progress);
                        // 清空缓存
                        cacheTrajectoryMap.put(sn, new ArrayList<>());
                        cacheTaskMap.put(sn, new ArrayList<>());
                        return;
                    }
                    save(sn, jobId, progress);
                    log.info("当前任务保存成功，jobId:{},进度：{}",jobId , progress);
                    log.info("SN:{} 当前任务保存成功，jobId:{},进度：{}", sn,jobId , progress);
                }
            } catch (Exception e) {
                log.error("json解析异常！{}", e.getMessage());
                log.error("SN:{} json解析异常！{}", sn, e.getMessage());
            }
        }
    }

    @Async
    public void save(String sn, String JobId, String progress) {
        List<String> trajectoryList = cacheTrajectoryMap.get(sn);
        List<String> taskList = cacheTaskMap.get(sn);
//        List<String> trajectoryList = cacheTrajectoryMap.get(sn);
//        List<String> taskList = cacheTaskMap.get(sn);
//        String progress = cacheProgress.get(sn);
        // 关键修复：原子性remove获取缓存（拿到当前所有数据）+ 清空缓存，避免异步竞态
        List<String> trajectoryList = cacheTrajectoryMap.remove(sn);
        List<String> taskList = cacheTaskMap.remove(sn);
        // 处理remove返回null的情况（缓存中无该sn）
        trajectoryList = trajectoryList == null ? new ArrayList<>() : trajectoryList;
        taskList = taskList == null ? new ArrayList<>() : taskList;
        // 序列化前打印关键日志（确认拿到的数据）
        log.info("SN:{} save方法原子性获取缓存 - 轨迹数据size：{}，任务数据size：{}",
                sn, trajectoryList.size(), taskList.size());

        // 空数据直接返回
        if (trajectoryList.isEmpty() && taskList.isEmpty()) {
            log.warn("SN:{} 原子性获取的缓存数据为空，无需保存！jobId:{}", sn, JobId);
            return;
        }
        try {
            log.info("开始保存轨迹点列表数据！jobId:{},轨迹数量：{},任务状态数量：{}", JobId, trajectoryList.size(), taskList.size());
            log.info("SN:{} 开始保存轨迹点列表数据！jobId:{},轨迹数量：{},任务状态数量：{}",
                    sn, JobId, trajectoryList.size(), taskList.size());
            byte[] blobTrajectory = SerializeUtil.serialize(trajectoryList);
            byte[] blobTask = SerializeUtil.serialize(taskList);
            log.info("SN:{} 序列化结果 - 轨迹字节长度：{}，任务字节长度：{}",
                    sn, blobTrajectory.length, blobTask.length);

            Optional<WaylineJobDTO> waylineJobDTO = _waylineJobService.getJobByJobId(JobId);
            WaylineTrajectoryEntity TrajectoryEntity = new WaylineTrajectoryEntity();
@@ -181,7 +196,14 @@
                }
            }
        } catch (Exception e) {
            log.error("保存轨迹点列表数据失败！jobId:{}.{}", JobId, e.getMessage());
            log.error("SN:{} 保存数据异常！jobId:{}, 异常信息：{}", sn, JobId, e.getMessage(), e);
            // 异常时把数据放回缓存（避免数据丢失）
            if (!trajectoryList.isEmpty()) {
                cacheTrajectoryMap.computeIfAbsent(sn, k -> new ArrayList<>()).addAll(trajectoryList);
            }
            if (!taskList.isEmpty()) {
                cacheTaskMap.computeIfAbsent(sn, k -> new ArrayList<>()).addAll(taskList);
            }
        }
    }