Map<String, Integer> snowCodeNumMap = storageApply.getDetailsList().stream() .peek(storageApplyOrderDetailPO -> storageApplyOrderDetailPO.setStorageApplyOrderId(storageApply.getId()) .setProductStatus(StorageTypeEnum.getProductStatueByType(storageTypeEnum, storageApplyOrderDetailPO))) .collect(Collectors.toMap(StorageApplyOrderDetailPO::getSnowCode, StorageApplyOrderDetailPO::getNum, Integer::sum)); 优化下代码

可以考虑使用更加简洁的方法来实现这个流处理操作。例如，可以使用 `groupingBy` 和 `summingInt` 来实现对 `snowCode` 相同的对象进行分组求和的操作，代码如下：

Map<String, Integer> snowCodeNumMap = storageApply.getDetailsList()
    .forEach(detail -> {
        detail.setStorageApplyOrderId(storageApply.getId());
        detail.setProductStatus(StorageTypeEnum.getProductStatueByType(storageTypeEnum, detail));
    })
    .stream()
    .collect(Collectors.groupingBy(StorageApplyOrderDetailPO::getSnowCode, Collectors.summingInt(StorageApplyOrderDetailPO::getNum)));

这样代码更加简洁易懂，并且可以避免中间操作 `peek` 带来的副作用。

相关问题

Map<String,List<User>> stringListMap = list.stream().collect(Collectors.groupingBy(User::getId));

这是一个关于 Java 语言的问题，我可以回答。这段代码使用 Java 8 的 Stream API，将一个 User 对象的列表按照其 id 属性进行分组，返回一个 Map，其中 key 是 id，value 是该 id 对应的 User 对象列表。

优化这段java代码 //通过域账号名称 调用userSdk获取 对应ID List<String> sendUserNameList = form.getOperationScoreDTOList() .stream().map(OperationScoreDTO::getSenderName).distinct().collect(Collectors.toList()); List<String> receiverUserNameList = form.getOperationScoreDTOList() .stream().map(OperationScoreDTO::getReceiverName).distinct().collect(Collectors.toList()); List<FindOneByUsernameVo> sendUserList = userServiceSdk.findByUsernames(sendUserNameList); List<FindOneByUsernameVo> receiverUserList = userServiceSdk.findByUsernames(receiverUserNameList); Map<String, Integer> senderMap = sendUserList .stream() .collect(Collectors.toMap(FindOneByUsernameVo::getUsername, FindOneByUsernameVo::getTeclibUserId)); Map<String, Integer> receiverMap = receiverUserList .stream() .collect(Collectors.toMap(FindOneByUsernameVo::getUsername, FindOneByUsernameVo::getTeclibUserId)); for (OperationScoreDTO operationScoreDTO : form.getOperationScoreDTOList()) { Integer senderId = senderMap.get(operationScoreDTO.getSenderName()); if (senderId == null) { throw new BizException("获取发送者失败"); } Integer receiverId = receiverMap.get(operationScoreDTO.getSenderName()); if (receiverId == null) { throw new BizException("获取接收者失败"); } Short score = operationScoreDTO.getScore(); String remark = operationScoreDTO.getRemark(); OperationScoreEntity os = new OperationScoreEntity(); os.setSendId(senderId); os.setReceiverId(receiverId); os.setEvent(score.toString()); os.setRemark(remark); os.setSendTime(LocalDate.now()); operationScoreRepository.save(os); String event = ScoreEventConstant.BONUS_SCORE; String module = ScoreModuleConstant.BONUS_SCORE; String payload = String.format("osId:%d;receiver:%d;remark:%s;score:%s", os.getId(), receiverId, remark, score); UserScoreEntity userScore = new UserScoreEntity(); userScore.setUserId(receiverId); userScore.setModule(module); userScore.setEvent(event); userScore.setPayload(payload); userScore.setOperationTime(operationScoreDTO.getOperationTime()); userScore.setScore(score); Integer totalScore = this.findTotalScoreByUserId(receiverId); userScore.setTotal(Math.max(totalScore + score, 0)); userScoreRepository.save(userScore); } return Boolean.TRUE;

在这段代码中，你可以考虑以下优化措施：

1. 将重复的代码提取为方法：将获取用户名列表和调用 `userServiceSdk.findByUsernames` 的逻辑提取为一个方法，这样可以减少重复代码。

2. 使用 `forEach` 替代 `for` 循环：使用流的 `forEach` 方法可以简化循环的书写，更加简洁和直观。

3. 使用批量插入：使用批量插入操作可以减少数据库交互次数，提高性能。

下面是优化后的代码示例：

List<String> sendUserNameList = form.getOperationScoreDTOList()
    .stream().map(OperationScoreDTO::getSenderName).distinct().collect(Collectors.toList());
List<String> receiverUserNameList = form.getOperationScoreDTOList()
    .stream().map(OperationScoreDTO::getReceiverName).distinct().collect(Collectors.toList());

Map<String, Integer> senderMap = getUserIdsByUsernames(sendUserNameList);
Map<String, Integer> receiverMap = getUserIdsByUsernames(receiverUserNameList);

form.getOperationScoreDTOList().forEach(operationScoreDTO -> {
    Integer senderId = senderMap.get(operationScoreDTO.getSenderName());
    if (senderId == null) {
        throw new BizException("获取发送者失败");
    }
    Integer receiverId = receiverMap.get(operationScoreDTO.getSenderName());
    if (receiverId == null) {
        throw new BizException("获取接收者失败");
    }
    Short score = operationScoreDTO.getScore();
    String remark = operationScoreDTO.getRemark();

    OperationScoreEntity os = new OperationScoreEntity();
    os.setSendId(senderId);
    os.setReceiverId(receiverId);
    os.setEvent(score.toString());
    os.setRemark(remark);
    os.setSendTime(LocalDate.now());
    operationScoreRepository.save(os);

    String event = ScoreEventConstant.BONUS_SCORE;
    String module = ScoreModuleConstant.BONUS_SCORE;
    String payload = String.format("osId:%d;receiver:%d;remark:%s;score:%s",
            os.getId(), receiverId, remark, score);

    UserScoreEntity userScore = new UserScoreEntity();
    userScore.setUserId(receiverId);
    userScore.setModule(module);
    userScore.setEvent(event);
    userScore.setPayload(payload);
    userScore.setOperationTime(operationScoreDTO.getOperationTime());
    userScore.setScore(score);
    Integer totalScore = this.findTotalScoreByUserId(receiverId);
    userScore.setTotal(Math.max(totalScore + score, 0));

    userScoreRepository.save(userScore);
});

return Boolean.TRUE;

private Map<String, Integer> getUserIdsByUsernames(List<String> usernames) {
    List<FindOneByUsernameVo> userList = userServiceSdk.findByUsernames(usernames);
    return userList.stream()
        .collect(Collectors.toMap(FindOneByUsernameVo::getUsername, FindOneByUsernameVo::getTeclibUserId));
}

通过上述优化，你可以减少代码重复，提高代码的可读性和维护性，并且减少数据库交互次数，提高性能。