See more examples in Folder and file filter examples. Such filter happens within the service, which enumerate the folders/files under the given path then apply the wildcard filter.Īllowed wildcards are: * (matches zero or more characters) and ? (matches zero or single character) use ^ to escape if your actual folder name has wildcard or this escape char inside. The folder path with wildcard characters to filter source folders. Learn more about the syntax and notes from the Remarks under this section. Use * to match zero or more characters and ? to match zero or single character. If you want to copy all files from a folder, additionally specify wildcardFileName as *.įile server side native filter, which provides better performance than OPTION 3 wildcard filter. The type property under storeSettings must be set to FileServerReadSettings.Ĭopy from the given folder/file path specified in the dataset. The following properties are supported for file system under storeSettings settings in format-based copy source: Property This section provides a list of properties supported by file system source and sink. If you want to use wildcard to filter files, skip this setting and specify in activity source settings.įor a full list of sections and properties available for defining activities, see the Pipelines article. The file name under the given folderPath. Note that you will need to setup the file share location in your Windows or Linux environment to expose the folder for sharing. If you want to use wildcard to filter folder, skip this setting and specify in activity source settings. The type property under location in dataset must be set to FileServerLocation. The following properties are supported for file system under location settings in format-based dataset: Property Refer to each article for format-based settings. When authoring via UI, you don't need to input double backslash ( \\) to escape like you do via JSON, specify single backslash.įor a full list of sections and properties available for defining datasets, see the Datasets article.Īzure Data Factory supports the following file formats. In JSON: \\\\myserver\\share On UI: \\myserver\share Remote shared folder: Examples: \\myserver\share\* or \\myserver\share\folder\subfolder\* Local folder on Integration Runtime machine: Examples: D:\* or D:\folder\subfolder\* Sample linked service and dataset definitions Scenario If not specified, it uses the default Azure Integration Runtime. The Integration Runtime to be used to connect to the data store. Mark this field as a SecureString to store it securely, or reference a secret stored in Azure Key Vault. Specify the password for the user (userId). Specify the ID of the user who has access to the server. See Sample linked service and dataset definitions for examples. Use the escape character "" for special characters in the string. Specifies the root path of the folder that you want to copy. The type property must be set to: FileServer. The following properties are supported for file system linked service: Property The following sections provide details about properties that are used to define Data Factory and Synapse pipeline entities specific to file system. Search for file and select the File System connector.Ĭonfigure the service details, test the connection, and create the new linked service. Use the following steps to create a file system linked service in the Azure portal UI.īrowse to the Manage tab in your Azure Data Factory or Synapse workspace and select Linked Services, then click New: To perform the Copy activity with a pipeline, you can use one of the following tools or SDKs:Ĭreate a file system linked service using UI You can also use the managed virtual network integration runtime feature in Azure Data Factory to access the on-premises network without installing and configuring a self-hosted integration runtime.įor more information about the network security mechanisms and options supported by Data Factory, see Data access strategies. If the access is restricted to IPs that are approved in the firewall rules, you can add Azure Integration Runtime IPs to the allow list. If your data store is a managed cloud data service, you can use the Azure Integration Runtime. If your data store is located inside an on-premises network, an Azure virtual network, or Amazon Virtual Private Cloud, you need to configure a self-hosted integration runtime to connect to it. Mapped network drive is not supported when loading data from a network file share.
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