11/21/2023 0 Comments Azure data factory dynamic folder path![]() ![]() If the file exists, then execute a CopyActivity, or whatever we were trying to do. Parameterize the Dataset to accept a wildcard in the filename.Īnd in the Get Metadata activity, set the wildcard to something an IfCondition activity on the output of the GetMetadata. Then inside the ForEach's activities, use a GetMetadata activity to see if the file/path exists. My workaround is:Ī single ForEach activity, whose Items are the numbers of days back you want to look maxDaysOld = 4, you would get. If that is not the case, and you have modified the files you want to move, then there is a different solution. YouĬan do an incremental load by LastModifiedDate as in this article. The maximum length of the complete folder path for backup is 4,080 characters. We can achieve this by providing dynamic folder name details in create a target at run time option. ![]() If your files were last modified (or created) on those dates, there is an easier way to do this. Restoring Data from a Synology Hyper Backup Archive. I found a solution to place files in the dynamic folder path. URLXXX ContainerExist: True, BlobPrefix: YYYY04DD.csv, BlobCount: 0.,Source=,' These are the parameters: The expression for the file path: concat(dataset().Layer,'/',dataset().Subject,dataset().DivisionName,dataset().FolderName) This expression will allow for a file path like this one: mycontainer/raw/assets/xxxxxx/7. ![]() ErrorCode=UserErrorSourceBlobNotExist,'Type=.HybridDeliveryException,Message=The required Blob is missing. This doesn't work but I can't figure out why not.įile : get the folowing error after running my pipeline:Īctivity Copy_wzs failed: Failure happened on 'Source' side. Now I am trying to enter the filepath in the Data Factory V2 screen by entering the construction below. I have created a linked service which is a Blob container with a folderstructure like foldername>sub-folder>Year( for example 2019)>Month(in the format MM)>Day(in the format DD). We can use this method to delete only the expired files e.g.I have a problem with defining the folder and file path in Data Factory V2 that I can not solve. The Start Time and End Time values can also be parameterized. Delete Activity can be used in combination with the Datasetsettings, to delete files which were created within a certain time window (OR before/after a specific Date/time) This setting can be found under the Connection tab in the Dataset settings.This option provides an easy and flexible way to delete files dynamically.Īzure Data Factory: Delete Activity – Parameterize File Name Under the Source settings, there is an option to parameterize the items that we would like to delete.We can provide the folder path of the CSV file which will be populated with the names of the deleted file.Īzure Data Factory: Delete Activity CSV Folder Path There is an added benefit of using the Delete Activity, it allows you to log the list of deleted files or folder names in a CSV file. Delete a specific file or the entire folder: As a pre-requisite we need to create a Linked Service to the data store where the files (or the folder) are stored and provide the Linked service name in the Delete Activity settings.Host-Named Site Collections enable us to ADF does not directly support copying. The Delete Activity can be used in the following three ways depending on the use case: Mouse over the folder path at the top of the Explorer window. The Delete Activity can be found under General section in Data Factory Studio UI : Azure Data Factory: Delete Activity Data Factory has an activity to do just that, and it is aptly named the Delete Activity. Once the data has been successfully copied to the final table, the data stored in the temporary storage area becomes redundant and is no longer needed. This will most likely be applicable to be a temporary storage area (such as Staging Area or Landing Zone), where data needs to be stored before it can be copied the final table (usually a Data Warehouse table). Sometimes during data load, there are scenarios where we would like to delete the existing files or folder and start with a clean slate. ![]()
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