为什么CHECKDB读取具有内存优化表的数据库上的事务日志文件？

16

tl; dr：为什么CHECKDB读取具有内存优化表的用户数据库的事务日志？

似乎CHECKDB在检查我的一个数据库-特别是使用内存中OLTP表的数据库时，正在读取用户数据库的事务日志文件。

该数据库的CHECKDB仍会在相当长的时间内完成，因此我主要是对行为感到好奇。但绝对是此实例上所有数据库中CHECKDB的最长持续时间。

从Paul Randal的史诗《从各个角度看CHECKDB：完整描述所有CHECKDB阶段》中，我看到SQL 2005以前的CHECKDB 用于读取日志，以便获得数据库的一致视图。但是由于这是2016年，因此它使用内部数据库快照。

但是，快照的先决条件之一是：

源数据库不得包含MEMORY_OPTIMIZED_DATA文件组

我的用户数据库具有这些文件组之一，因此看起来快照不在桌面上。

根据CHECKDB文档：

如果无法创建快照，或者指定了TABLOCK，则DBCC CHECKDB将获取锁以获取所需的一致性。在这种情况下，需要排他数据库锁来执行分配检查，并且需要共享表锁来执行表检查。

好的，所以我们正在执行数据库和表锁定而不是快照锁定。但这仍然不能解释为什么它必须读取事务日志。那有什么呢？

我在下面提供了一个脚本来重现该场景。它用于sys.dm_io_virtual_file_stats标识日志文件读取。

请注意，大多数情况下，它读取日志的一小部分（480 KB），但偶尔读取的日志则更多（48.2 MB）。在我的生产场景中，当我们运行CHECKDB时，它每天晚上在午夜读取大多数日志文件（约占2 GB文件的1.3 GB）。

这是到目前为止我通过脚本获得的输出示例：

collection_time            num_of_reads     num_of_bytes_read
2018-04-04 15:12:29.203    106              50545664

或这个：

collection_time            num_of_reads     num_of_bytes_read
2018-04-04 15:25:14.227    1                491520

如果我用常规表替换内存优化的对象，则输出如下所示：

collection_time            num_of_reads     num_of_bytes_read
2018-04-04 15:21:03.207    0                0

为什么CHECKDB读取日志文件？尤其是为什么它偶尔会读取日志文件的很大一部分？

这是实际的脚本：

-- let's have a fresh DB
USE [master];

IF (DB_ID(N'LogFileRead_Test') IS NOT NULL) 
BEGIN
    ALTER DATABASE [LogFileRead_Test]
    SET SINGLE_USER WITH ROLLBACK IMMEDIATE;
    DROP DATABASE [LogFileRead_Test];
END

GO
CREATE DATABASE [LogFileRead_Test]

GO
ALTER DATABASE [LogFileRead_Test]
MODIFY FILE
(
    NAME = LogFileRead_Test_log,
    SIZE = 128MB
);

-- Hekaton-yeah, I want memory optimized data
GO
ALTER DATABASE [LogFileRead_Test]
ADD FILEGROUP [LatencyTestInMemoryFileGroup] CONTAINS MEMORY_OPTIMIZED_DATA;

GO
ALTER DATABASE [LogFileRead_Test]
ADD FILE 
(
    NAME = [LatencyTestInMemoryFile], 
    FILENAME = 'C:\Program Files\Microsoft SQL Server\MSSQL13.SQL2016\MSSQL\DATA\LogFileRead_Test_SessionStateInMemoryFile'
) TO FILEGROUP [LatencyTestInMemoryFileGroup];

GO
USE [LogFileRead_Test]

GO
CREATE TYPE [dbo].[InMemoryIdTable] AS TABLE (
    [InMemoryId] NVARCHAR (88) COLLATE Latin1_General_100_BIN2 NOT NULL,
    PRIMARY KEY NONCLUSTERED HASH ([InMemoryId]) WITH (BUCKET_COUNT = 240))
    WITH (MEMORY_OPTIMIZED = ON);

GO
CREATE TABLE [dbo].[InMemoryStuff] (
    [InMemoryId]   NVARCHAR (88)    COLLATE Latin1_General_100_BIN2 NOT NULL,
    [Created]     DATETIME2 (7)    NOT NULL,
    CONSTRAINT [PK_InMemoryStuff_InMemoryId] PRIMARY KEY NONCLUSTERED HASH ([InMemoryId]) WITH (BUCKET_COUNT = 240)
)
WITH (MEMORY_OPTIMIZED = ON);

GO
-- RBAR is the new black (we need some logs to read)
declare @j int = 0;
while @j < 100000
begin
    INSERT INTO [dbo].[InMemoryStuff](InMemoryId, Created) VALUES ('Description' + CAST(@j as varchar), GETDATE());
    set @j = @j + 1;
end

-- grab a baseline of virtual file stats to be diff'd later
select f.num_of_reads, f.num_of_bytes_read
into #dm_io_virtual_file_stats
from sys.dm_io_virtual_file_stats(default, default) f
where database_id = db_id('LogFileRead_Test') and file_id = FILE_IDEX('LogFileRead_Test_log');

-- hands off my log file, CHECKDB!
GO
DBCC CHECKDB ([LogFileRead_Test]) WITH NO_INFOMSGS, ALL_ERRORMSGS, DATA_PURITY;

-- grab the latest virtual file stats, and compare with the previous capture
GO
select f.num_of_reads, f.num_of_bytes_read
into #checkdb_stats
from sys.dm_io_virtual_file_stats(default, default) f
where database_id = db_id('LogFileRead_Test') and file_id = FILE_IDEX('LogFileRead_Test_log');

select 
        collection_time = GETDATE() 
        , num_of_reads = - f.num_of_reads + t.num_of_reads
        , num_of_bytes_read = - f.num_of_bytes_read + t.num_of_bytes_read
into #dm_io_virtual_file_stats_diff
from #dm_io_virtual_file_stats f, #checkdb_stats t;

drop table #checkdb_stats;
drop table #dm_io_virtual_file_stats;

-- CHECKDB ignored my comment
select collection_time, num_of_reads, num_of_bytes_read
from #dm_io_virtual_file_stats_diff d
order by d.collection_time;

drop table #dm_io_virtual_file_stats_diff;

-- I was *not* raised in a barn
USE [master];

ALTER DATABASE [LogFileRead_Test]
SET SINGLE_USER WITH ROLLBACK IMMEDIATE;
DROP DATABASE [LogFileRead_Test];

由于此repro通常仅生成1或106个日志文件读取，因此我认为我将使用file_read和file_read_completed扩展事件会话来深入研究1。

name                timestamp                   mode        offset  database_id file_id size    duration
file_read           2018-04-06 10:51:11.1098141 Contiguous  72704   9           2       0       NULL    
file_read_completed 2018-04-06 10:51:11.1113345 Contiguous  72704   9           2       491520  1

这是DBCC LOGINFO()有关这些偏移量的上下文的VLF详细信息（），例如：

RecoveryUnitId  FileId  FileSize    StartOffset FSeqNo  Status  Parity  CreateLSN
0               2       2031616     8192        34      2       64      0
0               2       2031616     2039808     35      2       64      0
0               2       2031616     4071424     36      2       64      0
0               2       2285568     6103040     37      2       64      0
0               2       15728640    8388608     38      2       64      34000000005200001
0               2       15728640    24117248    39      2       64      34000000005200001
0               2       15728640    39845888    40      2       64      34000000005200001
0               2       15728640    55574528    0       0       0       34000000005200001
0               2       15728640    71303168    0       0       0       34000000005200001
0               2       15728640    87031808    0       0       0       34000000005200001
0               2       15728640    102760448   0       0       0       34000000005200001
0               2       15728640    118489088   0       0       0       34000000005200001

因此，CHECKDB操作：

  • 开始向第一个VLF读取63 KB（64,512字节），
  • 读取480 KB（491,520字节），并且
  • 没有不读VLF的最后1441 KB（1475584个字节）

如果有帮助，我也捕获了调用栈。

file_read调用栈：

(00007ffd`999a0860)   sqlmin!XeSqlPkg::file_read::Publish+0x1dc   |  (00007ffd`999a0b40)   sqlmin!XeSqlPkg::file_read_enqueued::Publish
(00007ffd`9a825e30)   sqlmin!FireReadEvent+0x118   |  (00007ffd`9a825f60)   sqlmin!FireReadEnqueuedEvent
(00007ffd`9980b500)   sqlmin!FCB::AsyncRead+0x74d   |  (00007ffd`9980b800)   sqlmin!FCB::AsyncReadInternal
(00007ffd`9970e9d0)   sqlmin!SQLServerLogMgr::LogBlockReadAheadAsync+0x6a6   |  (00007ffd`9970ec00)   sqlmin!LBH::Destuff
(00007ffd`9970a6d0)   sqlmin!LogConsumer::GetNextLogBlock+0x1591   |  (00007ffd`9970ab70)   sqlmin!LogPoolPrivateCacheBufferMgr::Lookup
(00007ffd`9a9fcbd0)   sqlmin!SQLServerLogIterForward::GetNext+0x258   |  (00007ffd`9a9fd2d0)   sqlmin!SQLServerLogIterForward::GetNextBlock
(00007ffd`9aa417f0)   sqlmin!SQLServerCOWLogIterForward::GetNext+0x2b   |  (00007ffd`9aa418c0)   sqlmin!SQLServerCOWLogIterForward::StartScan
(00007ffd`9aa64210)   sqlmin!RecoveryMgr::AnalysisPass+0x83b   |  (00007ffd`9aa65100)   sqlmin!RecoveryMgr::AnalyzeLogRecord
(00007ffd`9aa5ed50)   sqlmin!RecoveryMgr::PhysicalRedo+0x233   |  (00007ffd`9aa5f790)   sqlmin!RecoveryMgr::PhysicalCompletion
(00007ffd`9aa7fd90)   sqlmin!RecoveryUnit::PhysicalRecovery+0x358   |  (00007ffd`9aa802c0)   sqlmin!RecoveryUnit::CompletePhysical
(00007ffd`9a538b90)   sqlmin!StartupCoordinator::NotifyPhaseStart+0x3a   |  (00007ffd`9a538bf0)   sqlmin!StartupCoordinator::NotifyPhaseEnd
(00007ffd`9a80c430)   sqlmin!DBTABLE::ReplicaCreateStartup+0x2f4   |  (00007ffd`9a80c820)   sqlmin!DBTABLE::RefreshPostRecovery
(00007ffd`9a7ed0b0)   sqlmin!DBMgr::SyncAndLinkReplicaRecoveryPhase+0x890   |  (00007ffd`9a7edff0)   sqlmin!DBMgr::DetachDB
(00007ffd`9a7f2cd0)   sqlmin!DBMgr::CreatePhasedTransientReplica+0x869   |  (00007ffd`9a7f3630)   sqlmin!DBMgr::StrandTransientReplica
(00007ffd`9a7f2ae0)   sqlmin!DBMgr::CreateTransientReplica+0x118   |  (00007ffd`9a7f2cd0)   sqlmin!DBMgr::CreatePhasedTransientReplica
(00007ffd`99ec6d30)   sqlmin!DBDDLAgent::CreateReplica+0x1b5   |  (00007ffd`99ec6f90)   sqlmin!FSystemDatabase
(00007ffd`9abaaeb0)   sqlmin!UtilDbccCreateReplica+0x82   |  (00007ffd`9abab000)   sqlmin!UtilDbccDestroyReplica
(00007ffd`9ab0d7e0)   sqlmin!UtilDbccCheckDatabase+0x994   |  (00007ffd`9ab0ffd0)   sqlmin!UtilDbccRetainReplica
(00007ffd`9ab0cfc0)   sqlmin!DbccCheckDB+0x22d   |  (00007ffd`9ab0d380)   sqlmin!DbccCheckFilegroup
(00007ffd`777379c0)   sqllang!DbccCommand::Execute+0x193   |  (00007ffd`77737d70)   sqllang!DbccHelp
(00007ffd`777e58d0)   sqllang!CStmtDbcc::XretExecute+0x889   |  (00007ffd`777e6250)   sqllang!UtilDbccSetPermissionFailure
(00007ffd`76b02eb0)   sqllang!CMsqlExecContext::ExecuteStmts<1,1>+0x40d   |  (00007ffd`76b03410)   sqllang!CSQLSource::CleanupCompileXactState
(00007ffd`76b03a60)   sqllang!CMsqlExecContext::FExecute+0xa9e   |  (00007ffd`76b043d0)   sqllang!CCacheObject::Release
(00007ffd`76b03430)   sqllang!CSQLSource::Execute+0x981   |  (00007ffd`76b039b0)   sqllang!CSQLLock::Cleanup

file_read_completed调用栈：

(00007ffd`99995cc0)   sqlmin!XeSqlPkg::file_read_completed::Publish+0x1fc   |  (00007ffd`99995fe0)   sqlmin!XeSqlPkg::file_write_completed::Publish
(00007ffd`9a826630)   sqlmin!FireIoCompletionEventLong+0x227   |  (00007ffd`9a8269c0)   sqlmin!IoRequestDispenser::Dump
(00007ffd`9969bee0)   sqlmin!FCB::IoCompletion+0x8e   |  (00007ffd`9969c180)   sqlmin!IoRequestDispenser::Put
(00007ffd`beaa11e0)   sqldk!IOQueue::CheckForIOCompletion+0x426   |  (00007ffd`beaa1240)   sqldk!SystemThread::GetCurrentId
(00007ffd`beaa15b0)   sqldk!SOS_Scheduler::SwitchContext+0x173   |  (00007ffd`beaa18a0)   sqldk!SOS_Scheduler::Switch
(00007ffd`beaa1d00)   sqldk!SOS_Scheduler::SuspendNonPreemptive+0xd3   |  (00007ffd`beaa1db0)   sqldk!SOS_Scheduler::ResumeNoCuzz
(00007ffd`99641720)   sqlmin!EventInternal<SuspendQueueSLock>::Wait+0x1e7   |  (00007ffd`99641ae0)   sqlmin!SOS_DispatcherPool<DispatcherWorkItem,DispatcherWorkItem,SOS_DispatcherQueue<DispatcherWorkItem,0,DispatcherWorkItem>,DispatcherPoolConfig,void * __ptr64>::GetDispatchers
(00007ffd`9aa437c0)   sqlmin!SQLServerLogMgr::CheckLogBlockReadComplete+0x1e6   |  (00007ffd`9aa44670)   sqlmin!SQLServerLogMgr::ValidateBlock
(00007ffd`9970a6d0)   sqlmin!LogConsumer::GetNextLogBlock+0x1b37   |  (00007ffd`9970ab70)   sqlmin!LogPoolPrivateCacheBufferMgr::Lookup
(00007ffd`9a9fcbd0)   sqlmin!SQLServerLogIterForward::GetNext+0x258   |  (00007ffd`9a9fd2d0)   sqlmin!SQLServerLogIterForward::GetNextBlock
(00007ffd`9aa417f0)   sqlmin!SQLServerCOWLogIterForward::GetNext+0x2b   |  (00007ffd`9aa418c0)   sqlmin!SQLServerCOWLogIterForward::StartScan
(00007ffd`9aa64210)   sqlmin!RecoveryMgr::AnalysisPass+0x83b   |  (00007ffd`9aa65100)   sqlmin!RecoveryMgr::AnalyzeLogRecord
(00007ffd`9aa5ed50)   sqlmin!RecoveryMgr::PhysicalRedo+0x233   |  (00007ffd`9aa5f790)   sqlmin!RecoveryMgr::PhysicalCompletion
(00007ffd`9aa7fd90)   sqlmin!RecoveryUnit::PhysicalRecovery+0x358   |  (00007ffd`9aa802c0)   sqlmin!RecoveryUnit::CompletePhysical
(00007ffd`9a538b90)   sqlmin!StartupCoordinator::NotifyPhaseStart+0x3a   |  (00007ffd`9a538bf0)   sqlmin!StartupCoordinator::NotifyPhaseEnd
(00007ffd`9a80c430)   sqlmin!DBTABLE::ReplicaCreateStartup+0x2f4   |  (00007ffd`9a80c820)   sqlmin!DBTABLE::RefreshPostRecovery
(00007ffd`9a7ed0b0)   sqlmin!DBMgr::SyncAndLinkReplicaRecoveryPhase+0x890   |  (00007ffd`9a7edff0)   sqlmin!DBMgr::DetachDB
(00007ffd`9a7f2cd0)   sqlmin!DBMgr::CreatePhasedTransientReplica+0x869   |  (00007ffd`9a7f3630)   sqlmin!DBMgr::StrandTransientReplica
(00007ffd`9a7f2ae0)   sqlmin!DBMgr::CreateTransientReplica+0x118   |  (00007ffd`9a7f2cd0)   sqlmin!DBMgr::CreatePhasedTransientReplica
(00007ffd`99ec6d30)   sqlmin!DBDDLAgent::CreateReplica+0x1b5   |  (00007ffd`99ec6f90)   sqlmin!FSystemDatabase
(00007ffd`9abaaeb0)   sqlmin!UtilDbccCreateReplica+0x82   |  (00007ffd`9abab000)   sqlmin!UtilDbccDestroyReplica
(00007ffd`9ab0d7e0)   sqlmin!UtilDbccCheckDatabase+0x994   |  (00007ffd`9ab0ffd0)   sqlmin!UtilDbccRetainReplica
(00007ffd`9ab0cfc0)   sqlmin!DbccCheckDB+0x22d   |  (00007ffd`9ab0d380)   sqlmin!DbccCheckFilegroup
(00007ffd`777379c0)   sqllang!DbccCommand::Execute+0x193   |  (00007ffd`77737d70)   sqllang!DbccHelp

这些堆栈跟踪与Max的答案相关，表明尽管存在Hekaton表，但CHECKDB仍在使用内部快照。

我读过快照执行恢复以撤消未提交的事务：

未提交的事务将在新创建的数据库快照中回滚，因为数据库引擎在创建快照后即运行恢复（不影响数据库中的事务）。

但这仍然不能解释为什么在我的生产场景中经常会读取大量日志文件（有时在此处提供的repro中）。我认为我的应用程序中在给定的时间没有太多的运行中交易，并且这里的repro中肯定没有任何交易。

sql-server  sql-server-2016  transaction-log  dbcc-checkdb 
— 乔什·达内尔
source

Answers:

10

即使SQL Server文档指出具有“内存中”表的数据库不支持快照，DBCC CHECKDB由于checkdb操作不会接触内存中的表，并且快照仅捕获更改，因此仍可以创建所需的“内部”快照。到磁盘上的表。

据推测，Microsoft选择了阻止用户在带有内存表的数据库上创建快照，因为它们需要复制内存结构以使快照真正成为以用户为中心的正常感知的完整快照。复制快照中的内存表可能很容易使服务器内存不足，这不是一件好事

您可以通过在运行时观察主数据库数据文件所在的数据文件夹来证明自己正在创建内部DBCC快照DBCC CHECKDB。如果创建了内部快照，您将看到一个名为的文件LogFileRead_Test.mdf_MSSQL_DBCC7（7可能有所不同-它代表数据库的数据库ID）。

创建快照文件后，SQL Server必须在数据库上运行恢复，以使其恢复到DBCC CHECKDB运行所需的一致状态。您看到的任何日志读取操作都可能是该恢复过程的结果。我构建了一个用于检查多个DBCC CHECKDB动作的输出的快速绑定，该流程可证明如果checkdb之间没有事务，则不会读取日志文件。

USE master;
SET IMPLICIT_TRANSACTIONS OFF;
USE [master];
IF (DB_ID(N'LogFileRead_Test') IS NOT NULL) 
BEGIN
    ALTER DATABASE [LogFileRead_Test]
    SET SINGLE_USER WITH ROLLBACK IMMEDIATE;
    DROP DATABASE [LogFileRead_Test];
END

CREATE DATABASE [LogFileRead_Test]
ALTER DATABASE [LogFileRead_Test]
MODIFY FILE
(
    NAME = LogFileRead_Test_log,
    SIZE = 128MB
);

ALTER DATABASE [LogFileRead_Test]
ADD FILEGROUP [LatencyTestInMemoryFileGroup] CONTAINS MEMORY_OPTIMIZED_DATA;
ALTER DATABASE [LogFileRead_Test]
ADD FILE 
(
    NAME = [LatencyTestInMemoryFile], 
    FILENAME = 'C:\temp\LogFileRead_Test_SessionStateInMemoryFile'
) TO FILEGROUP [LatencyTestInMemoryFileGroup];
GO

USE LogFileRead_Test;

CREATE TABLE [dbo].[InMemoryStuff] (
    [InMemoryId]   NVARCHAR (88)    COLLATE Latin1_General_100_BIN2 NOT NULL,
    [Created]     DATETIME2 (7)    NOT NULL,
    CONSTRAINT [PK_InMemoryStuff_InMemoryId] 
    PRIMARY KEY NONCLUSTERED 
    HASH ([InMemoryId]) WITH (BUCKET_COUNT = 240)
)
WITH (MEMORY_OPTIMIZED = ON);

;WITH src AS (
    SELECT n.Num
    FROM (VALUES (0), (1), (2), (3), (4), (5), (6), (7), (8), (9))n(Num)
)
INSERT INTO [dbo].[InMemoryStuff] (InMemoryId, Created) 
SELECT 'Description' + CONVERT(varchar(30)
        , ((s1.Num * 10000) 
         + (s2.Num * 1000) 
         + (s3.Num * 100) 
         + (s4.Num * 10) 
         + (s5.Num)))
    , GETDATE()
FROM src s1
    CROSS JOIN src s2
    CROSS JOIN src s3
    CROSS JOIN src s4
    CROSS JOIN src s5;
USE master;

DECLARE @cmd nvarchar(max);
DECLARE @msg nvarchar(1000);
DECLARE @l int;
DECLARE @m int;
SET @m = 10;
SET @l = 1;
IF OBJECT_ID(N'tempdb..#vfs', N'U') IS NOT NULL DROP TABLE #vfs;
CREATE TABLE #vfs (
    vfs_run int NOT NULL IDENTITY(1,1) PRIMARY KEY CLUSTERED
    , collection_time datetime2(7)
    , num_of_reads bigint
    , num_of_bytes_read bigint
);

WHILE @l <= @m 
BEGIN
SET @msg = N'loop ' + CONVERT(nvarchar(10), @l);
RAISERROR (@msg, 0, 1) WITH NOWAIT;

SET @cmd = 'USE [LogFileRead_Test];
-- grab a baseline of virtual file stats to be diff''d later
select f.num_of_reads, f.num_of_bytes_read
into #dm_io_virtual_file_stats
from sys.dm_io_virtual_file_stats(default, default) f
where database_id = db_id(''LogFileRead_Test'') and file_id = FILE_IDEX(''LogFileRead_Test_log'');

DBCC CHECKDB ([LogFileRead_Test]) WITH NO_INFOMSGS, ALL_ERRORMSGS, DATA_PURITY;

-- grab the latest virtual file stats, and compare with the previous capture
select f.num_of_reads, f.num_of_bytes_read
into #checkdb_stats
from sys.dm_io_virtual_file_stats(default, default) f
where database_id = db_id(''LogFileRead_Test'') and file_id = FILE_IDEX(''LogFileRead_Test_log'');

select 
        collection_time = GETDATE() 
        , num_of_reads = - f.num_of_reads + t.num_of_reads
        , num_of_bytes_read = - f.num_of_bytes_read + t.num_of_bytes_read
into #dm_io_virtual_file_stats_diff
from #dm_io_virtual_file_stats f, #checkdb_stats t;

--drop table #checkdb_stats;
--drop table #dm_io_virtual_file_stats;

-- CHECKDB ignored my comment
select collection_time, num_of_reads, num_of_bytes_read
from #dm_io_virtual_file_stats_diff d
order by d.collection_time;

--drop table #dm_io_virtual_file_stats_diff;
';
INSERT INTO #vfs (collection_time, num_of_reads, num_of_bytes_read)
EXEC sys.sp_executesql @cmd;

SET @l += 1;
END

USE master;
SET @cmd = 'USE [master];
ALTER DATABASE [LogFileRead_Test]
SET SINGLE_USER WITH ROLLBACK IMMEDIATE;
DROP DATABASE [LogFileRead_Test];
';
EXEC sys.sp_executesql @cmd;

SELECT *
FROM #vfs
ORDER BY vfs_run;

结果：

╔═════════╦═════════════════════════════╦═════════ ═════╦═══════════════════╗
║vfs_run║collection_time║num_of_reads║num_of_bytes_read║
╠═════════╬═════════════════════════════╬═════════ ═════╬═══════════════════╣
║1║2018-04-06 15：53：37.6566667║1║491520║
║2║2018-04-06 15：53：37.8300000║0║0║
║3║2018-04-06 15：53：38.0166667║0║0║
║4║2018-04-06 15：53：38.1866667║0║0║
║5║2018-04-06 15：53：38.3766667║0║0║
║6║2018-04-06 15：53：38.5633333║0║0║
║7║2018-04-06 15：53：38.7333333║0║0║
║8║2018-04-06 15：53：38.9066667║0║0║
║9║2018-04-06 15：53：39.0933333║0║0║
║10║2018-04-06 15：53：39.2800000║0║0║
╚═════════牛皮═════════════════════════════牛皮═════════ ═════牛皮═══════════════════╝

此外，您可能不希望使用RBAR方法将数据插入测试表中，而希望使用一种简单的基于集合的方法，例如以下方法：

;WITH src AS (
    SELECT n.Num
    FROM (VALUES (0), (1), (2), (3), (4), (5), (6), (7), (8), (9))n(Num)
)
INSERT INTO [dbo].[InMemoryStuff] (InMemoryId, Created) 
SELECT 'Description' + CONVERT(varchar(30)
     , ((s1.Num * 10000) 
      + (s2.Num * 1000) 
      + (s3.Num * 100) 
      + (s4.Num * 10) 
      + (s5.Num)))
    , GETDATE()
FROM src s1
    CROSS JOIN src s2
    CROSS JOIN src s3
    CROSS JOIN src s4
    CROSS JOIN src s5;

在我的测试中，它在3秒内填满了表格，而RBAR方法花费了很长时间。另外，您代码中的漂亮注释也让我笑了。

— 马克斯·弗农
source
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