These are the ints that never die, we reseeded negative.

Recently we had a system go down because we ran out of integers. (Mental note to create an alert when we are getting near to running out of integers.) If we upped the column to a bigint we were going to have to drop all the indexes. This server doesn’t have the capacity needed to do an operation of that size and it was estimated that it would be down for 8 hours while we dropped indexes, upped the column type and added back the indexes. This was way too long as it was early in the work day (had it been evening, it would have been fine).

There was also a concern about how many stored procedures were expecting an int but would need to be modified to a bigint, along with any code. That was a big undertaking and we were in an emergency down.

We talked about adding an additional table to take over but again, we were going to need to adjust a lot of things. During our discussion, I was reviewing this awesome blog post by Ed Pollack.

We decided that the fastest temporary solution was to reseed starting with the the smallest of negative ints -2147483648. Our table was already counting up with an increment of 1 and so we picked the smallest of numbers. That means we will seed with -2147483648, then go to -2147483647 and up to 0. We will have to watch closely as we approach 0 to not spill over to the positive numbers that have already been used.

This is only a temporary solution because of that spill over. Our real solution is to do the work and change that column to a bigint.

Here is a sample of what our code looked like:

DBCC CHECKIDENT ('dbo.MyTable', RESEED, -2147483648);

Because we chose this option, there was no need to drop indexes or fix code, but we are in the process of getting all of that ready for a production release.

Within seconds of reseeding, we were back online and working. It was absolutely a day I will remember.

The song for this post is Avicci’s The Nights.

I Made That Slow Query Run, Run, Run

I have been tuning queries and one of the first things I noticed was Sub-queries in the SELECT Clause.

SELECT (SELECT H1.FormalName
			FROM HideOut H1
			WHERE TypeDesc = 'Villain' 
			AND H1.Storyline = S.Storyline) AS VillainHideOut
     , (SELECT H2.FormalName
			FROM HideOut H2
			WHERE TypeDesc = 'Hero' 
			AND H2.Storyline = S.Storyline) AS HeroHideOut
     , S.HeroName AS Hero
     , V.VillainName AS Villain
FROM dbo.SuperHero S
	INNER JOIN [dbo].[Villain] V
		ON S.HeroLink = V.HeroLink
WHERE V.IsActive = 1 AND S.IsActive = 1

Why is this query slow? If this query were to return 50 rows, it would run each query in the SELECT clause 50 times, and since there are two of them, that is 100 query runs. What if I returned 100,000 rows? That would be 200,000 query runs. How could I do this differently?

SELECT H1.FormalName AS VillainHideOut
     , H2.FormalName AS HeroHideOut
     , S.HeroName AS Hero
     , V.VillainName AS Villain
FROM dbo.SuperHero S
	INNER JOIN [dbo].[Villain] V
		ON S.HeroLink = V.HeroLink
	LEFT JOIN HideOut H1 
		ON H1.Storyline = S.Storyline AND H1.TypeDesc = 'Villain'
	LEFT JOIN HideOut H2 
		ON H2.Storyline = S.Storyline AND H2.TypeDesc = 'Hero'
WHERE V.IsActive = 1 AND S.IsActive = 1

I moved the two correlated sub-queries into the JOIN clause and then simplified them to just join to the tables. This means I will only select from each table once, instead of for each row and will drop my query runs significantly. I could have left them as correlated sub-queries in the JOIN clause and it still would have performed better than having them in the SELECT clause.

In the query I was working with, I checked the statistics IO output and saw my logical reads on the HeroHideOut table drop from 24,103,280 logical reads down to 10,064 logical reads by making this one change.

Happy Tuning!

The song for this post is OneRepublic’s Run.

I can query multiple instances, I am King!

In the past, I have talked about CMS (Central Management Servers), but now I don’t have CMS configured and still want to query multiple instances at once. Local Server Groups are my friend.

In SSMS, I start by selecting View>>Registered Servers.

I then right click on “Local Server Groups” and select “New Server Group”.

Next I right click on the group I just created, in this case “Production” and select “New Server Registration”. I then fill in my servername, the type of Authentication, in this case I am using SQL Server Authentication and my login/password. I also am saving my password. This will help in the future. The Registered Server Name can be different. In the real world, my servernames are weird and so the Registered Server Name is the easy to remember name or the nickname I use for the server (all of my servers have nicknames). The description will come up when I hover over the server name once I have it registered.

Then I repeat this process until I have registered all my servers for Production under the Production group.

Now comes the cool part. I right click on my Production Server Group and select “New Query”. Because I saved my password, it connects to all my Production instances in one window. By default, it creates a pink bar at the bottom showing how many instances connected and the name of the Server Group.

Now I can run all my queries at once and the results will have the instance name prepended to each row. Word of warning, I never leave this connection open. I open it when I need it and then close it again so I don’t accidentally run something against all my servers.

The song for this post, King, is by Florence + The Machines.

Hit me with them good vibes, CTfP is set nice. Everything is so fire, little bit of sunshine!

Cost Threshold for Parallelism (CTfP) is one of my favorite server level settings in SQL Server. I remember the first time I heard this setting mentioned by Grant Fritchey. I quickly hopped on my servers and found them all set at the default (5) and adjusted them to 50 for the non SSRS servers and 30 for the SSRS ones. That was many years ago, but I had kept those numbers in my head because I didn’t know a better way.

Peter Shore gave an awesome presentation on Waits to our user group last week and reminded me of how much this setting can impact tuning. He also pointed us to a fantastic blog by Jonathan Kehayias about how to know the correct setting for your CTfP.

Peter explained that as I ran Jonathan’s awesome query, I would start to see a point in the StatementSubTreeCost column to help me identify the best CTfP for my environment.

My first thought after looking at this query, “I am so glad Jonathan wrote it because with that much XML, I wouldn’t know if it were safe to run without that trust.”

Today, I gave it a go. I kicked off the query and held my breath. Then I started to turn blue and realized this would probably take a minute. It took about 15 minutes and I was happy I didn’t panic at the wrong disco. It runs in a read uncommitted state which prevents blocking (thank you so much!) and I ran sp_whoisactive over and over to be safe.

This is Jonathan’s query, but I recommend you read his article too because there was so much good information.

SET TRANSACTION ISOLATION LEVEL READ UNCOMMITTED; 
WITH XMLNAMESPACES   
(DEFAULT 'http://schemas.microsoft.com/sqlserver/2004/07/showplan')  
SELECT  
     query_plan AS CompleteQueryPlan, 
     n.value('(@StatementText)[1]', 'VARCHAR(4000)') AS StatementText, 
     n.value('(@StatementOptmLevel)[1]', 'VARCHAR(25)') AS StatementOptimizationLevel, 
     n.value('(@StatementSubTreeCost)[1]', 'VARCHAR(128)') AS StatementSubTreeCost, 
     n.query('.') AS ParallelSubTreeXML,  
     ecp.usecounts, 
     ecp.size_in_bytes 
FROM sys.dm_exec_cached_plans AS ecp 
CROSS APPLY sys.dm_exec_query_plan(plan_handle) AS eqp 
CROSS APPLY query_plan.nodes('/ShowPlanXML/BatchSequence/Batch/Statements/StmtSimple') AS qn(n) 
WHERE  n.query('.').exist('//RelOp[@PhysicalOp="Parallelism"]') = 1 

After running it, I got back 43 records. I felt that was low until I remembered that our CTfP is set higher than my brain standard at 150. After looking over the results, I felt that 150 was about right for this environment. I didn’t stop there.

Jonathan had mentioned how he uses this query to identify what needs to be tuned, and since tuning is my favorite, I started to play with the queries to get them running better.

Huge THANK YOU to the awesome SQL Server Community that is always willing to share and teach! I love being able to find what I need from people that I trust to make my job easier and I couldn’t do it without all of you!

Hugs and please stay safe!

The song for this post is Sunshine by OneRepublic.

I’m going on down to New Orleans and renaming some database things…

This week, I had a co-worker that was stuck. They no longer use SSMS and needed to rename a database. They asked if I had a script and so I wrote one. Here it is:

USE master /*Use the master database when renaming a database*/
GO

DECLARE @SQL VARCHAR(8000)

SELECT @SQL=COALESCE(@SQL,'')+'Kill '+CAST(spid AS VARCHAR(10))+ '; '
FROM sys.sysprocesses
WHERE DBID=DB_ID('DatabaseName')

EXEC(@SQL) /*This will kill all the connections to the database, which will allow it to be renamed*/

ALTER DATABASE DatabaseName /*This is the start of the rename*/
SET SINGLE_USER /*keep everyone out while we rename*/
WITH ROLLBACK IMMEDIATE;
GO
ALTER DATABASE DatabaseName MODIFY NAME = NewDatabaseName /*All the magic has been preparing for this moment, the rename*/
GO
ALTER DATABASE NewDatabaseName /*Make sure to use the new name*/
SET MULTI_USER; /*Back to letting others into the newly named database*/
GO

So useful, I had to save it.

The song for this post is Goin’ Down by the Monkees.

Now a story about the song. The Monkees’ TV Show came back on the air when I was little. I was immediately hooked and LOVED their music. I could relate a lot to Micky Dolenz because he was a prankster like me and my family. Goin’ Down was a song I didn’t pay much attention to because I could hardly understand what Micky was singing.

Recently, I read a new story about a time that Micky was doing a concert and there were deaf people in the audience. There was an ASL interpreter that had done a wonderful job with all the songs. Just as Micky was getting ready to sing this one, he looked over at the interpreter and said, “Good Luck”. After the first few lines, she gave up and just clapped along. He ended up standing next to her while singing the rest of the song. How awesome is that?

The story made me want to listen to the song more and it has been one of my favorite fast moving songs the last few weeks.

What for do you yearn? Watch that Replication Burn!

Replication is not my favorite, it is kind of far from my favorite. No further than that. Little further.

When it breaks, it can cause havoc and it always seems to break at the worst time. Recently we noticed that our logfile was massive (like 3 times the size of the database) and that was making many of the other processes painful. We didn’t know how long the log hadn’t been clearing so we got to burn it all (kind of).

The first thing I did was tell replication that we were done with all the transactions that had been committed.

EXEC sp_repldone @xactid = NULL, @xact_segno = NULL, @numtrans = 0,@time = 0, @reset = 1

checkpoint

Had I known when replication had broken, I could have narrowed it down and put more details in this command to only clear out exactly what I needed to remove. Since I didn’t know, I told it to just be done with all of it. I ran a checkpoint trying to get it to clear out. At this point I took a log backup (I just kicked off my agent job).

“Burn, Replication, Burn!”

Then I checked to see how my log was looking and wanted to see if there were files that could be used.

DBCC LOGINFO('MyDatabaseName')

I was looking for status 0 (meaning the logfile could be reused or overwritten). There were still a lot that hadn’t cleared out so I repeated the process a few times and finally it was awesome! I had to do some clean up on my transaction log, but it was soooo much more usable.

We also had to re-initialize replication, but it was totally worth it.

The song for this post is Burn Butcher Burn by Joseph Trapanese and Joey Batey

And it was never a question, Query Store was crowing for repair. You gave it space and direction but you couldn’t keep it there…

Yes! Back to Query Store! I have had this problem for months where one of my Query store databases grows by a gig each week! It completely fills up, goes into a Read only state (which sets off the an alarm that I built to tell me when it switches to read only) and the only way I could get it to work again was to add space. I would add a gig and think, “Surely that will be enough to feed the hunger”. The next week, the alarm would go off again and I would feed it again!

I adjusted how often stats were collected, how frequently data was flushed, the max plans per query and anything else I could think to do, and still, it was hungry.

I had searched, read, googled, and kept coming up with nothing. I finally found something on corruption in the query store. CORRUPTION? Could it be possible? It was worth a try, my query store was in need of a serious diet and I still needed it to function.

The next time it went in to read only mode, I turned it off (it has to be off to fix the corruption) and ran this:

sp_query_store_consistency_check

Guess what happened next?!!!! My query store had a full gig free! I have left it alone for a few weeks and today I was able to shrink it by 5 gb! It has been glorious to have it working and not being worried as to why it was growing out of control.

The song for this post is Toad the Wet Sprocket’s Crowing

Now a personal note about Toad the Wet Sprocket. They are one of my favorite bands. Last night as I was listening to “Crowing”. I looked up the lyrics to figure out one of the words and realized I had be singing along to the wrong words. I thought it was “crowing for her” when it is actually “crowing for repair”. That completely changed the meaning of the song for me and made me love that song even more. It also made me realize I need to read Toad lyrics more often.

This also took my mind to the time that Ryan surprised me with tickets to go see them at a Reunion show in Vegas. After the show, fortune shown on me and I got to meet Glen Phillips the lead singer. He was super kind and gracious and let us take a picture and right after I fan-girled out a lot and started crying while trying to tell him how much I appreciated his and the band’s music. Huge apology to all the people I have completely scared with a fan-girl episode. I promise I try not to, just sometimes I can’t word how important that moment is to me.

Give me a minute to restore my logs…

This is part 4 of my log-shipping journey, if you missed part 1, you can find it here, part 2 is here, and part 3 is here.

We have one more set up piece to finish up before we do our restores. We need to tell my scripts which logfile is going to be the final one for now, so it can restore with Standby and I can read my databases.

UPDATE RestoreFile
SET IsFinalLogFile = 1
FROM RestoreFile RF1
INNER JOIN (SELECT RF.Origin, MAX(RF.CreatedDate) AS CreatedDate
FROM RestoreFile RF
INNER JOIN	(SELECT ForDatabase, MAX(CreatedDate) AS CreatedDate
					FROM [dbo].[RestoreFile] RF
					WHERE RF.FileType = 'B' 
					GROUP BY ForDatabase) BF ON RF.ForDatabase = BF.ForDatabase AND RF.CreatedDate > BF.CreatedDate
WHERE FileType = 'L' 
GROUP BY RF.Origin)RF2 ON RF1.Origin = RF2.Origin AND RF1.CreatedDate = RF2.CreatedDate

There are a few things going on here. First, I need to make sure that my logfile is more recent than my most recently restored full backup. Because I am restoring more than one database with this script, I have to join on both the ForDatabase and the CreatedDate (making sure it is greater than or, in the logfile case, equal to Date and Time I need). When I find the last logfile that is greater than the full backup’s created date, I am marking it with a IsFinalLogFile = 1 (True).

Now we are ready to build our full database restores.

DECLARE @SQLToExecute nvarchar(max), @RestoreFileId int
DECLARE RestoreBackups CURSOR FAST_FORWARD
FOR
SELECT 
'RESTORE DATABASE ' + RF.ForDatabase + ' FROM DISK = N''' + RF.FileLocation + ''' WITH FILE =  1, MOVE N''' + MF.name + ''' TO N''D:\SQLData\' + RF.ForDatabase + '.mdf'', MOVE N''' + MF.name + '_log'' TO N''L:\SQLLogs\'+ RF.ForDatabase + '_log.ldf'', NORECOVERY,  NOUNLOAD,  REPLACE,  STATS = 5'
, Id

  FROM [dbo].[RestoreFile] RF
	INNER JOIN sys.databases d ON RF.ForDatabase = d.name
	INNER JOIN sys.master_files mf on d.database_id = mf.database_id and mf.type = 0
  WHERE RF.FileType = 'B' AND RF.IsApplied = 0
OPEN RestoreBackups
FETCH NEXT FROM RestoreBackups INTO @SQLToExecute, @RestoreFileId
WHILE (@@FETCH_STATUS = 0)
BEGIN
    EXEC sp_executeSQL @SQLToExecute
	
	UPDATE [dbo].[RestoreFile]  SET IsApplied = 1 WHERE Id = @RestoreFileId

    FETCH NEXT FROM RestoreBackups INTO @SQLToExecute, @RestoreFileId
END
CLOSE RestoreBackups
DEALLOCATE RestoreBackups
GO

I am using a cursor to run each restore one at a time. I make sure that I am only doing FileType = ‘B’ so I know they are full backups and ones that haven’t been applied yet. I am building my restore string to include a move since the location on the new server may be different from what was used in the past. I update the applied status as I do the restore so I won’t apply this one twice, for this I am using the RestoreFileId which allows me to get the specific record that I want. This is the main reason I wanted a new table. If I would have stayed with one table, there is a chance I would have had duplicates on the filenames. That would have meant duplicate chances to restore records. It just made everything so much cleaner to make one a stage table and one a production table.

For the logfile restore, I followed a similar pattern:

DECLARE @SQLToExecute nvarchar(max), @RestoreFileId int
DECLARE RestoreBackups CURSOR FAST_FORWARD
FOR
SELECT 
'RESTORE LOG ' + RF.ForDatabase + ' FROM DISK = N''' + RF.FileLocation + ''' WITH NORECOVERY;'
, Id

  FROM [dbo].[RestoreFile] RF
	INNER JOIN sys.databases d ON RF.ForDatabase = d.name
	INNER JOIN sys.master_files mf on d.database_id = mf.database_id and mf.type = 0
	INNER JOIN	(SELECT ForDatabase, MAX(CreatedDate) AS CreatedDate
					FROM [dbo].[RestoreFile] RF
					WHERE RF.FileType = 'B' 
					GROUP BY ForDatabase) BF ON RF.ForDatabase = BF.ForDatabase AND RF.CreatedDate > BF.CreatedDate
  WHERE RF.FileType = 'L' AND RF.IsApplied = 0 AND RF.IsFinalLogFile = 0
  ORDER BY RF.ForDatabase, RF.CreatedDate
OPEN RestoreBackups
FETCH NEXT FROM RestoreBackups INTO @SQLToExecute, @RestoreFileId
WHILE (@@FETCH_STATUS = 0)
BEGIN

BEGIN TRY
    EXEC sp_executeSQL @SQLToExecute

		UPDATE [dbo].[RestoreFile]  SET IsApplied = 1 WHERE Id = @RestoreFileId
END TRY
BEGIN CATCH
    --SELECT   
        --ERROR_NUMBER() AS ErrorNumber,ERROR_MESSAGE() AS ErrorMessage
		UPDATE [dbo].[RestoreFile]  SET IsApplied = 0 WHERE Id = @RestoreFileId
END CATCH 

    FETCH NEXT FROM RestoreBackups INTO @SQLToExecute, @RestoreFileId
END
CLOSE RestoreBackups
DEALLOCATE RestoreBackups
GO

The pattern here is almost the same. I build my simple restore script but only for filetype = ‘L’ (Logfile) and only if it hasn’t been applied and if it isn’t the final logfile. I also check to make sure the full backup has restored and is earlier than the logfile. Then I execute the string of sql that I built and update the record to applied. I ended up having issues with the IsApplied being marked to true, even when it didn’t apply correctly so I added in error handling to change it back if that is the case. I may go back and add this to the Full Backup Restore script.

Next, I run the script that will do my final logfile restore for each database:

DECLARE @SQLToExecute nvarchar(max), @RestoreFileId int
DECLARE RestoreBackups CURSOR FAST_FORWARD
FOR
SELECT 
'RESTORE LOG ' + RF.ForDatabase + ' FROM DISK = N''' + RF.FileLocation + ''' WITH STANDBY=''Z:\Standby\' + RF.ForDatabase + '_Standby.bak'';'
, Id

  FROM [dbo].[RestoreFile] RF
	INNER JOIN sys.databases d ON RF.ForDatabase = d.name
	INNER JOIN sys.master_files mf on d.database_id = mf.database_id and mf.type = 0
	INNER JOIN	(SELECT ForDatabase, MAX(CreatedDate) AS CreatedDate
					FROM [dbo].[RestoreFile] RF
					WHERE RF.FileType = 'B' 
					GROUP BY ForDatabase) BF ON RF.ForDatabase = BF.ForDatabase AND RF.CreatedDate > BF.CreatedDate
  WHERE RF.FileType = 'L' AND RF.IsApplied = 0 AND RF.IsFinalLogFile = 1
  ORDER BY RF.ForDatabase, RF.CreatedDate
OPEN RestoreBackups
FETCH NEXT FROM RestoreBackups INTO @SQLToExecute, @RestoreFileId
WHILE (@@FETCH_STATUS = 0)
BEGIN

BEGIN TRY
    EXEC sp_executeSQL @SQLToExecute

		UPDATE [dbo].[RestoreFile]  SET IsApplied = 1 WHERE Id = @RestoreFileId
END TRY
BEGIN CATCH
    --SELECT   
        --ERROR_NUMBER() AS ErrorNumber,ERROR_MESSAGE() AS ErrorMessage
		UPDATE [dbo].[RestoreFile]  SET IsApplied = 0 WHERE Id = @RestoreFileId
END CATCH 

    FETCH NEXT FROM RestoreBackups INTO @SQLToExecute, @RestoreFileId
END
CLOSE RestoreBackups
DEALLOCATE RestoreBackups
GO

The only difference between these last two are the “WITH STANDBY” instead of “WITH NORECOVERY” and the IsFinalLogFile being set to true.

Last, but not least, I am cleaning old records out of my RestoreFile table so it doesn’t get large. I debated how much data to keep and for me, it makes sense to delete anything older than two days. I am doing a full restore daily and if I change that to weekly, I will keep this data longer.

  DELETE
  FROM [Maintenance].[dbo].[RestoreFile]
  WHERE CreatedDate < GETDATE()-2

This process allows me to stay flexible. If I don’t get a new full backup, this process will keep restoring logfiles until a new full backup file appears. If the backup chain is broken, this process will also break, but it will work as long as that chain is healthy and it gets all the files it needs.

Whew! We did it! That is my full poor girl log shipping process.

The song for this post is George Ezra’s Hold My Girl.

When I add a table new, that missing piece is found…

This is part 3 of my log-shipping journey, if you missed part 1, you can find it here and if you missed part 2, you can find it here.

As I starting working with my log-shipping job, I realized that I needed a second table. One to stage all my powershell loaded filenames and one that I could use to build the restores. I also wanted to be able to truncate the Logshipping Table to empty it before loading the filenames so I won’t miss any, but not have to redo work in my main table that had already been done. At the beginning of my SQL Agent job, I have the step that Truncates the Logshipping Table. Then I load the filenames with the powershell script, I update the created dates and then I load it all into my new RestoreFile Table.

CREATE TABLE [dbo].[RestoreFile](
	[Id] [int] IDENTITY(1,1) NOT NULL,
	[FileName] [varchar](500) NULL,
	[FileLocation] [varchar](1000) NULL,
	[FileType] [char](1) NULL,
	[Origin] [varchar](50) NULL,
	[ForDatabase] [varchar](50) NULL,
	[CreatedDate] [datetime2](7) NULL,
	[IsApplied] [bit] NOT NULL,
	[IsFinalLogFile] [bit] NOT NULL,
 CONSTRAINT [PK_RestoreFile] PRIMARY KEY CLUSTERED 
(
	[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON, OPTIMIZE_FOR_SEQUENTIAL_KEY = OFF) ON [PRIMARY]
) ON [PRIMARY]
GO

ALTER TABLE [dbo].[RestoreFile] ADD  CONSTRAINT [DF_RestoreFile_IsApplied]  DEFAULT ((0)) FOR [IsApplied]
GO

ALTER TABLE [dbo].[RestoreFile] ADD  CONSTRAINT [DF_RestoreFile_IsFinalLogFile]  DEFAULT ((0)) FOR [IsFinalLogFile]
GO

I removed the IsApplied column from the Logshipping table because I didn’t need it. The IsFinalLogFile becomes super important when we go to bring the database into Standby mode.

Next, I need to move the data from Logshipping into RestoreFile:

INSERT INTO RestoreFile(FileName, FileLocation, FileType, Origin, ForDatabase, CreatedDate)
SELECT A.FileName, A.FileLocation, A.FileType, A.Origin, A.ForDatabase, A.CreatedDate	
FROM [dbo].[LogshippingFile] A
LEFT JOIN [dbo].[RestoreFile] B ON A.FileName = B.FileName 
WHERE B.FileName IS NULL

I am comparing the filenames so that I don’t get duplicates. Thanks again to the date stamping in the names, I won’t get the same name twice, but I run this load frequently during the day and don’t want to bloat my table.

Now, we have all the pieces in place to do our restores! Get ready for some fun!

The song for this post is Vance Joy’s Missing Piece

Starting now, is the wrong date for insert…

This is part 2 of my log-shipping journey, if you missed part 1, you can find it here.

I collected all of the file names I need, but you will notice I left the dates off. When my files are moved from one domain to another, their created dates are being changed. I needed the real dates for the correct restore order and to match the backups to the logs. If I were a Dark Knight Powershell master, I am sure I would have figured out how to do it. Every time I started to get close, I would would have a production issue or another distraction that needed my time. In the end I landed in my happy place, so we are fixing the dates in the database!

How do I get the right date for a file when the created date is being changed after it has moved? I was super lucky that the date is being stored in the filename too! (Huge thank you to Ola for his awesome database maintenance solution.)

An example of my filename is this:

Batcentral$Alfred_Batman_LOG_20210610_224501.trn

This is how I dissect the filename to get the date and time from it:

  UPDATE [DBAStuff].[dbo].[LogshippingFile]
  SET CreatedDate = CAST(Substring(FileName, (LEN(FileName)-18),8)  +' '+ (Substring(FileName, (LEN(FileName)-9),2)+ ':' + Substring(FileName, (LEN(FileName)-7),2) + ':' + Substring(FileName, (LEN(FileName)-5),2)) AS DATETIME)
  WHERE CreatedDate IS NULL

My filenames are different lengths which means the the dates won’t always be in the same place, instead I go to the end of the string and count backwards because my dates are always consistent. Then I add all the parts back together to get my datetime and update it into my table.

Are we done yet? Nope, there is more.

The song for this post is Toad the Wet Sprockets’ Starting Now