count("秒"<=30) over (partition by "日期","拣货子仓","波次号","箱号") as "连续少件SKU数",

count("秒"<=30) over (partition by "日期","拣货子仓","波次号","箱号") as "连续少件SKU数" 是一种窗口函数的使用方式。窗口函数是一种在查询结果中计算和返回特定窗口（也称为分区）内的聚合值的方法。在这个例子中，窗口函数用于计算在指定的分区内，满足条件"秒"<=30 的记录的数量，并将结果命名为"连续少件SKU数"。

具体解释如下：
- count("秒"<=30)：表示统计满足条件"秒"<=30 的记录的数量。
- over (partition by "日期","拣货子仓","波次号","箱号")：表示按照指定的列进行分区，即将数据按照"日期"、"拣货子仓"、"波次号"、"箱号"进行分组。
- as "连续少件SKU数"：表示将统计结果命名为"连续少件SKU数"。

这样，对于每个分区（由指定的列确定），都会计算满足条件的记录数量，并将结果作为新的列添加到查询结果中。

相关问题

sum("少拣数") over (partition by "日期","拣货子仓","波次号","拣货箱号") as cnt_code是什么意思

sum("少拣数") over (partition by "日期","货子仓","波次号","拣货箱号") as cnt_code 是一种SQL语句中的窗口函数的写法。它的作用是计算在指的分组条件下，对于每个分组内的数据，将"少拣数"列的值进行求和，并将结果命名为"cnt_code"。

具体解释如下：
- sum("少拣数")：表示对"少拣数"列进行求和操作。
- over (partition by "日期","拣货子仓","波次号","拣货箱号")：表示按照指定的列进行分组，即将数据按照"日期"、"拣货子仓"、"波次号"、"拣货箱号"这四个列的值进行分组。
- as cnt_code：表示将求和结果命名为"cnt_code"。

这样，对于每个分组内的数据，都会计算出对应的"少拣数"列的求和结果，并将结果作为新的一列"cnt_code"返回。

row_number() over (partition by nf order by cs desc)<= 50

This SQL code is using the window function `row_number()` to assign a unique ranking number to each row within a partition of the result set. The partition is defined by the value of the column "nf", and the rows within each partition are ordered by the value of the column "cs" in descending order.

The code is then using a filter condition to limit the result set to only those rows where the ranking number is less than or equal to 50. In other words, it is selecting the top 50 rows within each partition based on the value of "cs".

Overall, this code is useful for ranking and selecting the top results within each group of data based on a specific column value.