Performing database maintenance

It is important to keep your databases free from clutter. To do this, we recommend performing the following operations:

• Use SQL Server Maintenance Solution
• Delete old data periodically
• Back up the database

Using SQL Server Maintenance Solution

SQL Server Maintenance Solution is a set of scripts that enable you to run backups, integrity checks, and index and statistics maintenance on all editions of Microsoft SQL Server, starting with the 2005 version. For details, see this GitHub project.

Backing up the database

We recommend implementing regular backups of the SQL Server database, such as full weekly or daily incremental backups.

Additionally, we recommend using the DatabaseBackup stored procedure that is created using the script at this location.

Deleting old data periodically

Shared Suite Capabilities

Create a separate database in which to save items before you delete them. This database acts as an archive for the items you may need to store for certain reasons, such as audits.

1. Create a new database called, for example, UiPathArchives:

   create database UiPathArchives

2. Create the following backup tables:
   1. ArchiveAuditEvent with the same structure as the AuditEvent table:

      SELECT * INTO [UiPathArchives].[dbo].[ArchiveAuditEvent] from [AutomationSuite_Platform].[adt].[AuditEvent] where 1 = 2

3. Archive the data:
   1. Archive audit records

      DECLARE @NumberOfDaysToKeep INT
      DECLARE @CurrentDate DATETIME
      
      -- Specify the number of days
      SET @NumberOfDaysToKeep = 60
      -- Archive the list of audit event records that you want to delete
      SET @CurrentDate = GetDate()
      BEGIN TRANSACTION
      INSERT INTO [UiPathArchives].[dbo].[ArchiveAuditEvent]
      SELECT
      [Id],[CreatedOn],[Version],[OrganizationId],[Source],[Category],[Action],[IsUserEvent],
      [UserId],[FullName],[Email],[DetailsVersion],[Details],[OperationId]
      FROM [adt].[AuditEvent]
      WHERE DateDiff(day, CreatedOn, @CurrentDate) > @NumberOfDaysToKeep
      -- Delete the audit events
      DELETE FROM [adt].[AuditEvent]
      WHERE EXISTS (SELECT 1 FROM [UiPathArchives].[dbo].[ArchiveAuditEvent] WHERE Id = [adt].[AuditEvent].[Id])
      COMMIT TRANSACTION

      Old data is copied to these archives prior to being deleted when using the query below.

4. Delete data from the table.
   Important: Before running the following script, make sure to adapt them to your environment.
   1. Audit events

      declare @NumberOfDaysToKeep int
      declare @CurrentDate datetime
      
      -- Specify the number of days
      SET @NumberOfDaysToKeep = 60
      -- Create temporary table with the list of audit event records that you want to delete
      SET @CurrentDate = GetDate()
      SELECT
      [Id],[CreatedOn],[Version],[OrganizationId],[Source],[Category],[Action],[IsUserEvent],
      [UserId],[FullName],[Email],[DetailsVersion],[Details],[OperationId]
      INTO #TempAuditRecordsToDelete
      FROM [adt].[AuditEvent]
      WHERE DateDiff(day, CreatedOn, @CurrentDate) > @NumberOfDaysToKeep
      -- Review the audit event records to be deleted
      SELECT * FROM #TempAuditRecordsToDelete
      -- Delete the audit events
      BEGIN TRANSACTION
      DELETE FROM [adt].[AuditEvent]
      WHERE EXISTS (SELECT 1 FROM #TempAuditRecordsToDelete WHERE Id = [adt].[AuditEvent].[Id])
      DROP TABLE #TempAuditRecordsToDelete
      COMMIT TRANSACTION

Identity Server

Create a separate database in which to save items before you delete them. This database acts as an archive for the items you may need to store for certain reasons, such as audits.

1. Create a new database called, for example, UiPathIdentityArchives:

   create database UiPathIdentityArchives

2. Create the following backup tables:
   1. ArchiveLoginAttempts with the same structure as the UserLoginAttempts table:

      select * into [UiPathIdentityArchives].[dbo].[ArchiveUserLoginAttempts] from [AutomationSuite_Platform].[identity].[UserLoginAttempts] where 1=2

      Old data is copied to these archives prior to being deleted when using the query below.

3. Delete data from the table.
   Important: Before running the following script, make sure to adapt them to your environment.
   1. User login attempts
      To delete login attempts older than 60 days, for example, use the query below. It can be executed manually or scheduled in an SQL Server Job.

      declare @NumberOfDaysToKeep int
      set @NumberOfDaysToKeep = 60
      if OBJECT_ID('[UiPathIdentityArchives].[dbo].[UserLoginAttemps]') = NULL 
        begin select * into [UiPathIdentityArchives].[dbo].[UserLoginAttemps] from [identity].UserLoginAttempts where 1=2 end
      begin transaction
        set identity_insert [UiPathIdentityArchives].[dbo].[UserLoginAttemps] on
        insert into [UiPathIdentityArchives].[dbo].[UserLoginAttemps] ([Id],[PartitionId],[UserId],[UserNameOrEmailAddress],[ClientIpAddress],[ClientName],[BrowserInfo],[Result],[CreationTime],[AuthenticationProvider],[PartitionName])
          select [Id],[PartitionId],[UserId],[UserNameOrEmailAddress],[ClientIpAddress],[ClientName],[BrowserInfo],[Result],[CreationTime],[AuthenticationProvider],[PartitionName]
            from [identity].UserLoginAttempts where DateDiff(day, CreationTime, GetDate()) > @NumberOfDaysToKeep
        delete from [identity].UserLoginAttempts where DateDiff(day, CreationTime, GetDate()) > @NumberOfDaysToKeep
      commit transaction

Orchestrator

For details on how to periodically delete old data from the Orchestrator database, see Cleaning up the Orchestrator database.

Automation Hub

Automation Hub relies on its historical data for runtime views and dashboards, and due to its nature, it does not have the concept of cleaning up old data. Similar to other services, it is recommended to regularly back up the Automation Hub database through methods such as full weekly backups or daily incremental backups.

Process Mining

Process Mining on Automation Suite provides built-in automatic database cleanup ensuring optimal efficiency and performance. This guarantees the regular removal of unnecessary data, keeping your database cleaned up and functional without the need for any manual actions to free up resources.

Task Mining

For details on how to periodically delete old data from the Task Mining database, see Cleaning up the Task Mining database.