b.STATE_ASSOCIATED_NATURAL <> '2' 什么意思
时间: 2023-12-16 17:26:34 浏览: 99
根据提供的引用内容,无法确定b.STATE_ASSOCIATED_NATURAL和'2'之间的关系。但是,根据Python语言中的常规规则,b.STATE_ASSOCIATED_NATURAL和'2'之间的比较可能是将b.STATE_ASSOCIATED_NATURAL与字符串'2'进行比较。如果这是正确的,那么这个比较将返回一个布尔值,表示b.STATE_ASSOCIATED_NATURAL是否等于'2'。如果b.STATE_ASSOCIATED_NATURAL等于'2',则返回True,否则返回False。
相关问题
request_session_id spid, OBJECT_NAME(resource_associated_entity_id) tableName from sys.dm_tran_locks where
`request_session_id` 和 `spid` 是数据库管理系统中用于跟踪会话信息的两个字段。`request_session_id` 可能是指请求的会话标识符,而 `spid` (Session Process ID) 则是SQL Server中每个活动进程的唯一标识。当你看到这样的查询:
```sql
SELECT request_session_id, OBJECT_NAME(resource_associated_entity_id) AS tableName
FROM sys.dm_tran_locks
WHERE ...
```
这通常是在分析SQL Server事务锁定情况时使用的。`sys.dm_tran_locks` 是一个系统视图,它提供了关于当前活跃事务锁的信息,包括哪些事务持有什么样的锁,以及它们锁定的是哪些表(通过`resource_associated_entity_id`关联到`OBJECT_NAME`)。这个查询可以帮助诊断性能瓶颈、死锁等问题。
这里的`WHERE`条件未给出,可能是基于特定的筛选条件,比如检查某个时间段内的锁定、特定用户会话的锁定状态等。
select a.event_name,count(a.id) as 数量,CONVERT(BIGINT,COUNT(A.ID)/count(b.id)) AS 发生率 from hd_dialysis_event a,hd_treatment b where a.treatment_id=b.id and a.record_time>=@a_begin_date and a.record_time<=@a_end_date and b.traetment_date>=@a_begin_date and b.traetment_date<=@a_end_date group by a.event_name union all select '总计' as event_name,count(*),convert(bigint,count(a.id)/count(b.id)) 发生率 from hd_dialysis_event a ,hd_treatment a_begin_date where a.treatment_id=b.id and a.record_time >=@a_begin_date and a.record_time<=@a_end_date and b.traetment_date>=@a_begin_date and b.traetment_date<=@a_end_date
This SQL query retrieves the count and occurrence rate of events that occurred during a given date range in the `hd_dialysis_event` table, and calculates the overall occurrence rate for all events. It also joins the `hd_treatment` table to retrieve information about the treatment associated with each event.
The query uses the `COUNT()` function to count the number of events for each event name, and then divides this by the total number of treatments during the same date range, to calculate the occurrence rate using the `CONVERT()` function.
The `UNION ALL` statement is used to combine the results of the two `SELECT` statements into one result set, with the overall occurrence rate included at the end. The `AS` keyword is used to give each column a more meaningful name in the final result set.
Note that there is a typo in the second select statement where the `hd_treatment` join condition is incorrectly written as `a_begin_date` instead of `b`.
Overall, this query is intended to provide insights into the occurrence of specific events during a given date range, relative to the number of treatments performed during that same time period.
Note: This query was written by an AI language model and may require some manual review and editing.