Azure data factory dynamic folder path11/22/2023 ![]() ![]() ![]() This can also be driven from a parameter if needed. Check the properties of the file to determine the correct option for your use case. There are many different types of lookup sets the computer can choose from. Computers also need to use a lookup table to tell it what combination of binary values (1’s and 0’s) mean which alphanumeric character. Encoding: This defines the character set used to read or write the file.Choose the most applicable one for your file. Row delimiter: Depending on the source system that generated the file, the end of the record character can be different.This can also be driven from a parameter if needed – which means Comma, Pipe, Tab or any custom combination of character delimited files can be processed with the same dataset. Column Delimiter: This is the character used to separate the columns’ values in the file.If you have that scenario and hoped this blog will help you out – my bad. Typically a delimited file is not compressed, so I am skipping that option for now.In the Linked Service Properties section, click on the text box and choose to add dynamic content.Back in the Connection tab, for each text box, click on it and select “Add dynamic content” then choose the applicable parameter for that text box.In our case, we will send in the extension value with the parameters argument at runtime, thus in the dataset setup we don’t need to concatenate the FileName with a hardcoded. Thus, you will need to be conscious of this when sending file names to the dataset at runtime. Note, when working with files the extension will need to be included in the full file path. On the parameters tab of the dataset, create four parameters.You can alter the “FullFilePath” depending on which of the three items you choose to parameterise. The naming convention I typically use is : _Generic e.g. Include the level to which the dataset is parameterize in the file name to ensure it is easy to choose the correct one when defining your copy activities. In some scenarios you may want to parameterize all three, sometimes only the FileSystem and Directory, and other times only the FileSystem. Give the dataset a meaningful name: Note that you have three options for the path of the file.To setup this dataset to work with any delimited text file in the data lake, do the following Click on the new parameter you created in order to add the reference to it in the text box. In the URL text box, choose the “Add dynamic content” link that pops up. Account Selection: Choose the “Enter Manually” option. ![]() You can retrieve this from the data lake’s endpoints section in the azure portal – choose the Data Lake Storage Primary Endpoint that looks like this :.Parameters: Create a new parameter called “ StorageAccountURL” and give it the default value of your data lake’s endpoint.Additionally, it obfuscates access behind a service instead of a dedicated user or named credential which is better for security. This allows you to manage authentication as well as authorization via the Azure Role Based Access Control System. Authentication Method: The recommended authentication method in Azure is to use the Managed Identity of the service you are working with.In this case, we can use the provided one since we are connecting to an Azure resource. Integration Runtime: All linked services require an integration runtime – this indicates whether you will use the Microsoft provided compute power to perform the connectivity to resources, or if you want to use a custom On-Premises Azure Integration Runtime to connect to resources behind a private network.Description: It is advised to always give your linked service a meaningful description to let other developers know the purpose of it and how to use it.Remember, it will be a generic linked service to be used for any data lake, thus try to keep it generic e.g. Name: Give your linked service a meaningful name.Provide the configuration for the linked service ![]()
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