Parameter 'startTime' not found. Available parameters are [arg1, arg0, param1, param2]

As an AI language model, I cannot provide a specific solution to this error without additional context. However, based on the error message you provided, it seems that the code is looking for a parameter named 'startTime' which is not available or has not been defined. The available parameters are listed as 'arg1', 'arg0', 'param1', and 'param2'. Check the code to ensure that the parameter 'startTime' is defined and spelled correctly.

相关问题

nested exception is org.apache.ibatis.binding.BindingException: Parameter 'item' not found. Available parameters are [collection, list]

这个错误消息说明在MyBatis中找不到参数。根据提供的引用内容，我们可以看到这个错误消息在不同的上下文中出现了几次，但都是关于找不到参数的问题。这可能是因为在查询语句或方法调用中，所需的参数没有正确地传递或定义。

解决这个问题的方法是确保在使用参数时，参数的名称和类型与MyBatis映射文件或方法定义中的参数名称和类型一致。请检查你的查询语句或方法调用，确保正确传递了所需的参数，并且参数的名称和类型与定义中的一致。

此外，还要注意确保在映射文件或方法定义中使用正确的参数名称。根据提供的引用内容，错误消息中提到了一些可用的参数名称（如arg0、startTime、endTime等），这些都是可用的参数，你需要使用其中之一来传递正确的参数。

总之，仔细检查你的代码，确保在查询语句或方法调用中正确传递了所需的参数，并且参数的名称和类型与定义中的一致。这样就能解决这个错误。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* *3* [nested exception is org.apache.ibatis.binding.BindingException: Parameter ‘xxx‘ not found解决方案](https://blog.csdn.net/weixin_46822367/article/details/121156670)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 100%"]
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SELECT DeviceId, CAST(ROUND(AVG(distance / time_diff), 5, 1) AS decimal(18,5)) AS '移动速率' FROM ( SELECT t1.DeviceId, t1.StartTime, t1.V1, t1.V2, t1.V3, DATEDIFF(SECOND, t2.StartTime, t1.StartTime) AS time_diff, SQRT(POWER(t1.V1 - t2.V1, 2) + POWER(t1.V2 - t2.V2, 2) + POWER(t1.V3 - t2.V3, 2)) AS distance FROM T_BMWY_ResolveDeviceData t1 JOIN T_BMWY_ResolveDeviceData t2 ON t1.DeviceId = t2.DeviceId AND t1.StartTime > t2.StartTime WHERE t1.StartTime >= DATEADD(DAY, -5, GETDATE()) ) t WHERE time_diff > 0 GROUP BY DeviceId 优化一下查询速度

可以考虑在WHERE子句中添加一些限制条件来减少查询的数据量。例如，可以根据DeviceId和StartTime将T_BMWY_ResolveDeviceData表分为多个分区，并对查询进行分区限制，只查询最近几天的数据。同时，可以考虑使用索引来加快查询速度。

以下是一个优化后的查询语句：

SELECT DeviceId, CAST(ROUND(AVG(distance / time_diff), 5, 1) AS decimal(18,5)) AS '移动速率' 
FROM (
    SELECT t1.DeviceId, t1.StartTime, t1.V1, t1.V2, t1.V3,
           DATEDIFF(SECOND, t2.StartTime, t1.StartTime) AS time_diff,
           SQRT(POWER(t1.V1 - t2.V1, 2) + POWER(t1.V2 - t2.V2, 2) + POWER(t1.V3 - t2.V3, 2)) AS distance
    FROM T_BMWY_ResolveDeviceData t1
    JOIN T_BMWY_ResolveDeviceData t2 ON t1.DeviceId = t2.DeviceId AND t1.StartTime > t2.StartTime
    WHERE t1.StartTime >= DATEADD(DAY, -5, GETDATE())
      AND t1.StartTime >= '2021-01-01' -- 限制查询的起始时间
      AND t1.DeviceId BETWEEN 1 AND 1000 -- 限制查询的DeviceId范围
) t 
WHERE time_diff > 0 
GROUP BY DeviceId;

此外，还可以考虑使用分页查询，每次只查询部分结果，减少单次查询的数据量。例如，可以使用ROW_NUMBER()函数进行分页查询。