Back up GitLabįor detailed information on backing up GitLab, see Backup GitLab. The timestamp is needed if you need to restore GitLab andįor example, if the backup name is 1493107454_2018_04_25_10.6.4-ce_gitlab_backup.tar, Where TIMESTAMP identifies the time at which each backup was created, plus The backup archive is saved in backup_path, which is specified in theĬonfig/gitlab.yml file. Migrate your projects from one server to another is through a backup and restore. You can only restore a backup to exactly the same version and type (CE/EE) GitLab provides Rake tasks for backing up and restoring GitLab instances.Īn application data backup creates an archive file that contains the database, Re-run the backup task Back up and restore GitLab. Truncate the filenames referenced by the database.Backup fails with File name too long error.Backup fails to complete with Gzip error.Container Registry push failures after restoring from a backup. Disable user two-factor authentication (2FA).Verify that all values can be decrypted.Restoring database backup using Omnibus packages outputs warnings.Prepare and transfer content from the old server.Back up and restore for installations using PgBouncer.Online backup through marking repositories as read-only (experimental).Prevent writes and copy the Git repository data.gitaly-backup for repository backup and restore.sites/demo/%DS_Data.Report_Dept%/%DS_Data.Report_Type%/%DS_Report.Name% R0001 is the prefix of the report and according to the database table, Report_Dept would be “Accounting” and Report_Type would be “Daily”. To simplify this, let’s use the report “R0001_Report_1124577780.xlsx” as an example. %DS_Report.Name% references the filename from the shared folder.%DS_Data.Report_Type% references the Report_Type column from the database table.%DS_Data.Report_Dept% references the Report_Dept column from the database table./sites/demo/ is constant, so it would always be read as /sites/demo.It might look a little confusing at first, so let’s dissect this together. Let’s take a look at the value used in the Destination field: /sites/demo/%DS_Data.Report_Dept%/%DS_Data.Report_Type%/%DS_Report.Name%. With these two sets of datasets holding all the information, we can now reference them when we upload the report using the SharePoint action (Figure 7). Therefore, when we add the loop, Steps 9, 10, and 11 would be the only steps inside the loop. We do not need to log on or log off SharePoint multiple times, nor do we need to keep making a connection with our SQL database. Using this technique, we know that the only steps that need to be repeated are Steps 9, 10, and 11 to parse the file prefix, lookup the information from the SQL database, and upload the report to SharePoint. With situation like this, one technique that I employ often is to build a task to handle one single report first and then go back to look at which steps are needed to repeat the process before adding a loop. When first starting any Automate task, it’s always easy to overcomplicate if the loop is added to the task first. Since we have to repeat the process for each report in the shared folder, it means the task would need to loop through specified steps to repeat the process. The next region is where we employ the loop concept. The next region we have from the task is “Open SQL and SharePoint Connections,” which contains two simple steps to make connection with SharePoint and SQL database: Create a SharePoint connection and Establish a SQL connection. This is a good practice to employ to any Automate task, especially if you plan on reusing the task or using it as a template. If we employ the idea of using a variable, we would only need to change the folder path at Step 2. We can always use \\Server\Reports instead of the variable VAR_SharedFolder in the task, but if we were to change our folder location or duplicate this task for another project with a different folder location, we would need to go to Steps 8 and 11 to change the folder path individually. VAR_SharedFolder is a variable that holds the path of the shared folder, in this case, “\\Server\Reports”. Let’s use the variable VAR_SharedFolder as an example (Step 2). We want an Automate task that we can use over and over again for different reports with different names and with hassle-free maintenance. For that reason, this example task uses variables and datasets. One of the most important concerns when developing a new Automate solution is usability. Figure 5, above, shows the complete SharePoint task from Steps 1-15.
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