如何统计一组通过查询返回的记录数,
例如:
select count(*)
from temptable
group by column_1, column_2, column_3, column_4
给我,
1
1
2
我需要统计上面的记录才能得到1+1+1 = 3。
您可以在一个查询中使用另一个 COUNT 上的 OVER 子句来执行这两项操作
select
count(*) RecordsPerGroup,
COUNT(*) OVER () AS TotalRecords
from temptable
group by column_1, column_2, column_3, column_4
最简单的解决方案是使用派生表:
Select Count(*)
From (
Select ...
From TempTable
Group By column_1, column_2, column_3, column_4
) As Z
另一种解决方案是使用 Count Distinct:
Select ...
, ( Select Count( Distinct column_1, column_2, column_3, column_4 )
From TempTable ) As CountOfItems
From TempTable
Group By column_1, column_2, column_3, column_4
我知道已经很晚了,但没有人建议这样做:
select count ( distinct column_1, column_2, column_3, column_4)
from temptable
这至少在 Oracle 中有效 - 我目前没有其他数据库可以测试它,而且我对 T-Sql 和 MySQL 语法不太熟悉。
另外,我不完全确定解析器中这样做是否更有效,或者其他人的嵌套 select 语句的解决方案是否更好。但我发现从编码的角度来看这个更优雅。
我试图在没有子查询的情况下实现相同的目标,并且能够获得所需的结果,如下所示
SELECT DISTINCT COUNT(*) OVER () AS TotalRecords
FROM temptable
GROUP BY column_1, column_2, column_3, column_4
怎么样:
SELECT count(column_1)
FROM
(SELECT * FROM temptable
GROUP BY column_1, column_2, column_3, column_4) AS Records
CTE 对我有用:
with cte as (
select 1 col1
from temptable
group by column_1
)
select COUNT(col1)
from cte;
在 PostgreSQL 中,这对我有用:
select count(count.counts)
from
(select count(*) as counts
from table
group by concept) as count;
尝试这个查询:
select top 1 TotalRows = count(*) over ()
from yourTable
group by column1, column2
你可以这样做:
select sum(counts) total_records from (
select count(*) as counts
from temptable
group by column_1, column_2, column_3, column_4
) as tmp
您可以执行下面的代码吗?它在 Oracle 中有效。
SELECT COUNT(COUNT(*))
FROM temptable
GROUP BY column_1, column_2, column_3, column_4
您也可以通过以下查询来获取
select column_group_by,count(*) as Coulm_name_to_be_displayed from Table group by Column;
-- For example:
select city,count(*) AS Count from people group by city
这是我所做的
SELECT COUNT(OwnerID) FROM (SELECT OwnerID FROM #resultsTable GROUP BY OwnerID) AS c
在采购订单和发布的临时表中
选择 T1.po , 计数(T1.release_kk)
来自#T1 T1
分组依据 T1.po
在 SQL Server 中使用 COUNT OVER (PARTITION BY {column to group by}) 分区函数怎么样?
例如,如果您想按 ItemID 对产品销售进行分组,并且想要对每个不同的 ItemID 进行计数,只需使用:
SELECT
{columns you want} ,
COUNT(ItemID) OVER (PARTITION BY ItemID) as BandedItemCount ,
{more columns you want}... ,
FROM {MyTable}
如果您使用这种方法,您可以将 GROUP BY 排除在外 - 假设您想要返回整个列表(因为您可能会报告分组,您需要知道要分组的项目的全部数量,而不需要这样做)必须显示整组数据,即报告服务)。
以下为PrestoDb,其中FirstField可以有多个值:
select *
, concat(cast(cast((ThirdTable.Total_Records_in_Group * 100 / ThirdTable.Total_Records_in_baseTable) as DECIMAL(5,2)) as varchar), '%') PERCENTage
from
(
SELECT FirstTable.FirstField, FirstTable.SecondField, SecondTable.Total_Records_in_baseTable, count(*) Total_Records_in_Group
FROM BaseTable FirstTable
JOIN (
SELECT FK1, count(*) AS Total_Records_in_baseTable
FROM BaseTable
GROUP BY FK1
) SecondTable
ON FirstTable.FirstField = SecondTable.FK1
GROUP BY FirstTable.FirstField, FirstTable.SecondField, SecondTable.Total_Records_in_baseTable
ORDER BY FirstTable.FirstField, FirstTable.SecondField
) ThirdTable