如何列出数据库中每个表的行数。相当于
select count(*) from table1
select count(*) from table2
...
select count(*) from tableN
我会张贴一个解决方案，但其他方法是受欢迎的
当前回答
接受的答案在Azure SQL上不适合我，这里有一个，它非常快，完全符合我的要求:
select t.name, s.row_count
from sys.tables t
join sys.dm_db_partition_stats s
ON t.object_id = s.object_id
and t.type_desc = 'USER_TABLE'
and t.name not like '%dss%'
and s.index_id = 1
order by s.row_count desc
其他回答
你可以试试这个:
SELECT OBJECT_SCHEMA_NAME(ps.object_Id) AS [schemaname],
OBJECT_NAME(ps.object_id) AS [tablename],
row_count AS [rows]
FROM sys.dm_db_partition_stats ps
WHERE OBJECT_SCHEMA_NAME(ps.object_Id) <> 'sys' AND ps.index_id < 2
ORDER BY
OBJECT_SCHEMA_NAME(ps.object_Id),
OBJECT_NAME(ps.object_id)
SELECT
T.NAME AS 'TABLE NAME',
P.[ROWS] AS 'NO OF ROWS'
FROM SYS.TABLES T
INNER JOIN SYS.PARTITIONS P ON T.OBJECT_ID=P.OBJECT_ID;
以下是我对这个问题的看法。它包含所有模式，只列出带行的表。YMMV
select distinct schema_name(t.schema_id) as schema_name, t.name as
table_name, p.[Rows]
from sys.tables as t
INNER JOIN sys.indexes as i ON t.OBJECT_ID = i.object_id
INNER JOIN sys.partitions p ON i.object_id = p.OBJECT_ID AND i.index_id =
p.index_id
where p.[Rows] > 0
order by schema_name;
Shnugo的答案是唯一一个工作在Azure的Externa表。(1) Azure SQL根本不支持sp_MSforeachtable;External表的partitions总是0。
您可以复制，过去和执行这段代码，以获得所有表记录计数到一个表。注意:代码带有注释
create procedure RowCountsPro
as
begin
--drop the table if exist on each exicution
IF OBJECT_ID (N'dbo.RowCounts', N'U') IS NOT NULL
DROP TABLE dbo.RowCounts;
-- creating new table
CREATE TABLE RowCounts
( [TableName] VARCHAR(150)
, [RowCount] INT
, [Reserved] NVARCHAR(50)
, [Data] NVARCHAR(50)
, [Index_Size] NVARCHAR(50)
, [UnUsed] NVARCHAR(50))
--inserting all records
INSERT INTO RowCounts([TableName], [RowCount],[Reserved],[Data],[Index_Size],[UnUsed])
-- "sp_MSforeachtable" System Procedure, 'sp_spaceused "?"' param to get records and resources used
EXEC sp_MSforeachtable 'sp_spaceused "?"'
-- selecting data and returning a table of data
SELECT [TableName], [RowCount],[Reserved],[Data],[Index_Size],[UnUsed]
FROM RowCounts
ORDER BY [TableName]
end
我已经测试了这段代码，它在SQL Server 2014上运行良好。
