Accurate data on D365FO DEV VMs can be vital for the development process, especially during the Go-Live and Support phases. One of the issues is that development VMs use SQL Server and UAT/PROD environments use SQL Azure as a database. So to get a copy of the data, you need to convert SQL Azure BACPAC file to a standard SQL server format(you can use debugger on Tier2, but it may be not convenient in some situations).
SQL BACPAC is a zip file that contains table data in text format. If you change the .backpac extension to .zip and open it in the archive tool, you will see something like that:
So the BACPAC restore procedure creates all tables in the database and populates the data in these tables.
To load the data, Microsoft released a SqlPackage tool. You can run it directly or use d365fo.tools. Both commands are shown below:
#USE d365fo.tools $StartTime = get-date Import-D365Bacpac -BacpacFile "J:\LCS\PreProd2022_05_24.bacpac" -ImportModeTier1 -NewDatabaseName PreProd2022_05_24_2 $RunTime = New-TimeSpan -Start $StartTime -End (get-date) WRITE-HOST "Execution time was $($RunTime.Hours) hours, $($RunTime.Minutes) minutes, $($RunTime.Seconds) seconds" #USE DIRECT SqlPackage CALL $StartTime = get-date cd C:\temp\ $fileExe = "C:\Temp\d365fo.tools\SqlPackage\SqlPackage.exe" & $fileExe /a:import /sf:J:\MSSQL_BACKUP\pope_2022_05_16_small.bacpac /tsn:localhost /tdn:pope_2022_05_16_small_sp_ind /p:RebuildIndexesOfflineForDataPhase=True /MaxParallelism:32 /p:DisableIndexesForDataPhase=FALSE $RunTime = New-TimeSpan -Start $StartTime -End (get-date) WRITE-HOST "Execution time was $($RunTime.Hours) hours, $($RunTime.Minutes) minutes, $($RunTime.Seconds) seconds"
Sometimes this procedure may be slow, so let's discuss what parameters may be used to improve BACPAC restore time:
Azure VMs are quite limited in terms of disk performance. A standard configuration may have SSDs or HDDs disks, but their speed will be much slower compared to local PCEe drives(e.g. Samsung 870 PRO).
The process is the following: you restore the BACPAC on the local machine, after the restore, create a backup of the SQL database, move it to the Azure file share and copy-restore this SQL backup on the cloud Azure VM. Working with native SQL backup is quite a fast operation compared to BACPAC conversion, and Local PC may provide a great advantage in restoring time. The sample code for this is the following:
$StartTime = get-date Import-D365Bacpac -BacpacFile "C:\Temp\PreProd2022_05_24.bacpac" -ImportModeTier1 -NewDatabaseName PreProd2022_05_24_2 -DatabaseServer "SDS-WS83" -SqlUser denis -SqlPwd "Pass" $RunTime = New-TimeSpan -Start $StartTime -End (get-date) WRITE-HOST "Execution time was $($RunTime.Hours) hours, $($RunTime.Minutes) minutes, $($RunTime.Seconds) seconds"
Delayed durability is a database option that speeds up certain database operations, but the database may stay in corrupted mode if the server crashes. D365FO database contains a huge number of objects, and the time for DB structure creation may be improved by using the Delayed durability flag.
The main problem is that it can be enabled only after the database is created, but SQLPackage doesn't have the option to automate this. So currently, I use this approach only with manual steps. In ~3-5 min after executing SQLPackage.exe, it creates a database, and then I manually run the following command for the newly created database.
USE [master] GO ALTER DATABASE [PreProd2022_05_24_2] SET RECOVERY SIMPLE WITH NO_WAIT GO ALTER DATABASE [PreProd2022_05_24_2] SET DELAYED_DURABILITY = FORCED WITH NO_WAIT GO
RebuildIndexesOfflineForDataPhase=True is one of the SQLPackage performance flags that rebuilds indexes with offline mode after the data load procedure. On my tests, I noticed some improvements with this flag, and it is something to keep in mind for a larger database.
By default SQLPackage disables table indexes before loading the data and then enables them after the load. For large tables, it should improve the data load performance, but for small tables, you get two additional steps: disable and enable indexes. /p:DisableIndexesForDataPhase=FALSE flag changes this behavior, it loads the data without recreating indexes. For my test files, it provided a significant performance boost.
In tests, I used the following BACPAC files:
I compared two different environments:
|Test type||Small file/Azure||Standard file/Azure||Small file/Local||Standard file/Local|
|Default SQLPackage parameters||1 hour, 16:24||3 hours, 51:36||21:33||1 hour, 23:50|
|Disabled durability||46:35||3 hours, 18:36||20:11||1 hour, 20:12|
|Disabled durability, /p:RebuildIndexesOfflineForDataPhase=True||2 hours, 52:16||1 hour, 07:09|
|/p:DisableIndexesForDataPhase=FALSE||2 hours, 23:19||21:01||51:15|
For the small file, the restore times varied from one hour to 20 minutes. What is interesting here is that for fast hardware, the restore time is almost independent of various switches. Delayed durability provided a significant boost for slow disk systems(standard DEV VM). Also, for a small amount of data, it is worth considering/p:DisableIndexesForDataPhase=FALSE flag
update 06/03/2023: you can auto clean log tables from the file using the following script
Clear-D365TableDataFromBacpac -Path "X:\MSSQL_BACKUP\AxDB.bacpac" -TableName "SECURITYOBJECTHISTORY","*Staging*","BatchHistory","SYSDATABASELOG*","ReqCalcTaskTrace" -ClearFromSource
I described different options for the BACPAC restore process. Of course, every database size is unique, but this should be a good place to start if you want to optimise the restore time for your project. For example, in my test, a "standard" size file may be restored in 4 hours or just in 1 hour, depending on different configurations.
What is also important is to have a process that covers the needs of your project. For example, you may have a standard automated restore process that takes 4h and have an "emergency" process that requires some interactions(e.g. Delayed durability, manually deleting large log tables from BACPAC before the restore, etc...) that can be done in 1h.
I hope you find this information useful. As always, if you see any improvements, suggestions or have some questions about this work, don't hesitate to contact me.