![]() We will explore that in the next article.ĭisclaimer: The articles and code snippets on data4v are for general information purposes only. In that case, we need to send email notifications. Lastly, configure the Delete activity similar to source connection i.e. Secondly, keep the filename blank in the File Path. csv (matching with source files in general). Nonetheless, the destination connection has two aspects. The below snapshot depicts the dynamic filenames. However, the filenames cannot be static as demonstrated in the first part of the article series. Here, we find the Copy activity and the Delete Activity to move the files. Double click on the ForEach container takes you to the inner activities. FileList').output.childItemsįurthermore, the activities with the ForEach need configuration as well. Here is the expression for your reference. Also, we use the output of the Get Metadata activity(Get FileList) as an input to the Foreach loop. Please note that you have to check the Sequential check-box in order to execute this loop in a sequential manner. These ‘Items’ are supplied by the preceding Get-Metadata activity. As discussed earlier, a ForEach activity requires a list called ‘Items’ to loop through them. Let us run this pipeline and visualize the output of Get Metadata activity. This setting will ensure that we get the Child Items in the blob container i.e. It is achieved with the Field list option in the Dataset. Once the connection is established and tested successfully, we need to configure the output of the Get Metadata activity. In a new pipeline named Move Files, we have a new Get Metadata activity named ‘Get FileList’.įor this activity, we have created an independent connection named SourceMetadata pointing to the source folder, which contains all the files to be moved. Further, a part of this metadata will act as the list of objects called ‘items’ for the for each container. The source contains three files as shown below.Īs mentioned in the pipeline overview, we will be using get metadata activity to retrieve the metadata of the source folder. Here is a high-level block diagram of the pipeline we are going to build. These items are provided by a Get-Metadata activity. ![]() However, the for-each loop requires a list of objects (called as items) to loop over. Fortunately, we have a For-Each activity in ADF, similar to that of SSIS, to achieve the looping function. However, when we have multiple files in a folder, we need a looping agent/container. ![]() In order to move files in Azure Data Factory, we start with Copy activity and Delete activity. Get Metadata activity and ForEach activity. In order to achieve that, we will introduce two new activities viz. ![]() Generally, we have multiple files in a folder which need to be processed and archived sequentially. However, real-life scenarios aren’t that simplistic. As a part of it, we learnt about the two key activities of Azure Data Factory viz. Move Files with Azure Data Factory- Part I, we went through the approach and demonstration to move a single file from one blob location to another, using Azure Data Factory. ![]()
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