Copy data to or from Azure Data Lake Storage Gen2 Preview using Azure Data Factory (Preview)

Azure Data Lake Storage Gen2 Preview is a set of capabilities dedicated to big data analytics, built into Azure Blob storage. It allows you to interface with your data using both file system and object storage paradigms.

This article outlines how to use Copy Activity in Azure Data Factory to copy data to and from Data Lake Storage Gen2. It builds on the Copy Activity overview article that presents a general overview of Copy Activity.

Supported capabilities

You can copy data from any supported source data store to Data Lake Storage Gen2. You also can copy data from Data Lake Storage Gen2 to any supported sink data store. For a list of data stores that are supported as sources or sinks by the copy activity, see the Supported data stores table.

Specifically, this connector supports:

Tip

If you enable the hierarchical namespace, currently there is no interoperability of operations between Blob and ADLS Gen2 APIs. In case you hit the error of "ErrorCode=FilesystemNotFound" with detailed message as "The specified filesystem does not exist.", it's caused by the specified sink file system was created via Blob API instead of ADLS Gen2 API elsewhere. To fix the issue, please specify a new file system with a name that does not exist as the name of a Blob container, and ADF will automatically create that file system during data copy.

Note

If you enables "Allow trusted Microsoft services to access this storage account" option on Azure Storage firewall settings, using Azure Integration Runtime to connect to Data Lake Storage Gen2 will fail with forbidden error, as ADF are not treated as trusted Microsoft service. Please use Self-hosted Integration Runtime as connect via instead.

Get started

Tip

For a walkthrough of using Data Lake Storage Gen2 connector, see Load data into Azure Data Lake Storage Gen2.

You can use one of the following tools or SDKs to use Copy Activity with a pipeline. Select a link for step-by-step instructions:

The following sections provide details about properties that are used to define Data Factory entities specific to Data Lake Storage Gen2.

Linked service properties

Azure Data Lake Storage Gen2 connector support the following authentication types, refer to the corresponding section on details:

Account key authentication

To use storage account key authentication, the following properties are supported:

Property Description Required
type The type property must be set to AzureBlobFS. Yes
url Endpoint for the Data Lake Storage Gen2 with the pattern of https://<accountname>.dfs.core.windows.net. Yes
accountKey Account key for the Data Lake Storage Gen2 service. Mark this field as a SecureString to store it securely in Data Factory, or reference a secret stored in Azure Key Vault. Yes
connectVia The integration runtime to be used to connect to the data store. You can use Azure Integration Runtime or Self-hosted Integration Runtime (if your data store is in a private network). If not specified, it uses the default Azure Integration Runtime. No

Example:

{
    "name": "AzureDataLakeStorageGen2LinkedService",
    "properties": {
        "type": "AzureBlobFS",
        "typeProperties": {
            "url": "https://<accountname>.dfs.core.windows.net", 
            "accountkey": { 
                "type": "SecureString", 
                "value": "<accountkey>" 
            }
        },
        "connectVia": {
            "referenceName": "<name of Integration Runtime>",
            "type": "IntegrationRuntimeReference"
        }
    }
}

Service principal authentication

To use service principal authentication, follow these steps:

  1. Register an application entity in Azure Active Directory (Azure AD) by following Register your application with an Azure AD tenant. Make note of the following values, which you use to define the linked service:

    • Application ID
    • Application key
    • Tenant ID
  2. Grant the service principal proper permission in Azure storage.

    • As source, in Access control (IAM), grant at least Storage Blob Data Reader role.
    • As sink, in Access control (IAM), grant at least Storage Blob Data Contributor role.

These properties are supported in linked service:

Property Description Required
type The type property must be set to AzureBlobFS. Yes
url Endpoint for the Data Lake Storage Gen2 with the pattern of https://<accountname>.dfs.core.windows.net. Yes
servicePrincipalId Specify the application's client ID. Yes
servicePrincipalKey Specify the application's key. Mark this field as a SecureString to store it securely in Data Factory, or reference a secret stored in Azure Key Vault. Yes
tenant Specify the tenant information (domain name or tenant ID) under which your application resides. Retrieve it by hovering the mouse in the top-right corner of the Azure portal. Yes
connectVia The integration runtime to be used to connect to the data store. You can use Azure Integration Runtime or Self-hosted Integration Runtime (if your data store is in a private network). If not specified, it uses the default Azure Integration Runtime. No

Example:

{
    "name": "AzureDataLakeStorageGen2LinkedService",
    "properties": {
        "type": "AzureBlobFS",
        "typeProperties": {
            "url": "https://<accountname>.dfs.core.windows.net", 
            "servicePrincipalId": "<service principal id>",
            "servicePrincipalKey": {
                "type": "SecureString",
                "value": "<service principal key>"
            },
            "tenant": "<tenant info, e.g. microsoft.onmicrosoft.com>" 
        },
        "connectVia": {
            "referenceName": "<name of Integration Runtime>",
            "type": "IntegrationRuntimeReference"
        }
    }
}

Managed identities for Azure resources authentication

A data factory can be associated with a managed identity for Azure resources, which represents this specific data factory. You can directly use this service identity for Blob storage authentication similar to using your own service principal. It allows this designated factory to access and copy data from/to your Blob storage.

To use managed identities for Azure resources authentication, follow these steps:

  1. Retrieve data factory service identity by copying the value of "SERVICE IDENTITY APPLICATION ID" generated along with your factory.

  2. Grant the managed identity proper permission in Azure storage.

    • As source, in Access control (IAM), grant at least Storage Blob Data Reader role.
    • As sink, in Access control (IAM), grant at least Storage Blob Data Contributor role.

These properties are supported in linked service:

Property Description Required
type The type property must be set to AzureBlobFS. Yes
url Endpoint for the Data Lake Storage Gen2 with the pattern of https://<accountname>.dfs.core.windows.net. Yes
connectVia The integration runtime to be used to connect to the data store. You can use Azure Integration Runtime or Self-hosted Integration Runtime (if your data store is in a private network). If not specified, it uses the default Azure Integration Runtime. No

Example:

{
    "name": "AzureDataLakeStorageGen2LinkedService",
    "properties": {
        "type": "AzureBlobFS",
        "typeProperties": {
            "url": "https://<accountname>.dfs.core.windows.net", 
        },
        "connectVia": {
            "referenceName": "<name of Integration Runtime>",
            "type": "IntegrationRuntimeReference"
        }
    }
}

Dataset properties

For a full list of sections and properties available for defining datasets, see the Datasets article. The following properties are supported for Azure Data Lake Storage dataset:

Property Description Required
type The type property of the dataset must be set to AzureBlobFSFile. Yes
folderPath Path to the folder in the Data Lake Storage Gen2. Wildcard filter is not supported. If not specified, it points to the root. Example: rootfolder/subfolder/. No
fileName Name or wildcard filter for the file(s) under the specified "folderPath". If you don't specify a value for this property, the dataset points to all files in the folder.

For filter, allowed wildcards are: * (matches zero or more characters) and ? (matches zero or single character).
- Example 1: "fileName": "*.csv"
- Example 2: "fileName": "???20180427.txt"
Use ^ to escape if your actual file name has wildcard or this escape char inside.

When fileName isn't specified for an output dataset and preserveHierarchy isn't specified in the activity sink, the copy activity automatically generates the file name with the following pattern: "Data.[activity run id GUID].[GUID if FlattenHierarchy].[format if configured].[compression if configured]", e.g. "Data.0a405f8a-93ff-4c6f-b3be-f69616f1df7a.txt.gz"; if you copy from tabular source using table name instead of query, the name pattern is "[table name].[format].[compression if configured]", e.g. "MyTable.csv".
No
format If you want to copy files as is between file-based stores (binary copy), skip the format section in both the input and output dataset definitions.

If you want to parse or generate files with a specific format, the following file format types are supported: TextFormat, JsonFormat, AvroFormat, OrcFormat, and ParquetFormat. Set the type property under format to one of these values. For more information, see the Text format, JSON format, Avro format, Orc format, and Parquet format sections.
No (only for binary copy scenario)
compression Specify the type and level of compression for the data. For more information, see Supported file formats and compression codecs.
Supported types are GZip, Deflate, BZip2, and ZipDeflate.
Supported levels are Optimal and Fastest.
No

Tip

To copy all files under a folder, specify folderPath only.
To copy a single file with a given name, specify folderPath with folder part and fileName with file name.
To copy a subset of files under a folder, specify folderPath with folder part and fileName with wildcard filter.

Example:

{
    "name": "AzureDataLakeStorageDataset",
    "properties": {
        "type": "AzureBlobFSFile",
        "linkedServiceName": {
            "referenceName": "<Azure Data Lake Storage Gen2 linked service name>",
            "type": "LinkedServiceReference"
        },
        "typeProperties": {
            "folderPath": "mycontainer/myfolder",
            "fileName": "myfile.csv.gz",
            "format": {
                "type": "TextFormat",
                "columnDelimiter": ",",
                "rowDelimiter": "\n"
            },
            "compression": {
                "type": "GZip",
                "level": "Optimal"
            }
        }
    }
}

Copy activity properties

For a full list of sections and properties available for defining activities, see the copy activity configurations and pipelines and activities article. This section provides a list of properties supported by the Data Lake Storage Gen2 source and sink.

Azure Data Lake storage Gen2 as a source type

The following properties are supported in the copy activity source section:

Property Description Required
type The type property of the copy activity source must be set to AzureBlobFSSource. Yes
recursive Indicates whether the data is read recursively from the subfolders or only from the specified folder. Note that when recursive is set to true and the sink is a file-based store, an empty folder or subfolder isn't copied or created at the sink.
Allowed values are true (default) and false.
No

Example:

"activities":[
    {
        "name": "CopyFromAzureDataLakeStorage",
        "type": "Copy",
        "inputs": [
            {
                "referenceName": "<Azure Data Lake Storage input dataset name>",
                "type": "DatasetReference"
            }
        ],
        "outputs": [
            {
                "referenceName": "<output dataset name>",
                "type": "DatasetReference"
            }
        ],
        "typeProperties": {
            "source": {
                "type": "AzureBlobFSSource",
                "recursive": true
            },
            "sink": {
                "type": "<sink type>"
            }
        }
    }
]

Azure Data Lake Storage Gen2 as a sink type

The following properties are supported in the copy activity sink section:

Property Description Required
type The type property of the copy activity sink must be set to AzureBlobFSSink. Yes
copyBehavior Defines the copy behavior when the source is files from a file-based data store.

Allowed values are:
- PreserveHierarchy (default): Preserves the file hierarchy in the target folder. The relative path of source file to source folder is identical to the relative path of target file to target folder.
- FlattenHierarchy: All files from the source folder are in the first level of the target folder. The target files have autogenerated names.
- MergeFiles: Merges all files from the source folder to one file. If the file name is specified, the merged file name is the specified name. Otherwise, it's an autogenerated file name.
No

Example:

"activities":[
    {
        "name": "CopyToAzureDataLakeStorage",
        "type": "Copy",
        "inputs": [
            {
                "referenceName": "<input dataset name>",
                "type": "DatasetReference"
            }
        ],
        "outputs": [
            {
                "referenceName": "<Azure Data Lake Storage Gen2 output dataset name>",
                "type": "DatasetReference"
            }
        ],
        "typeProperties": {
            "source": {
                "type": "<source type>"
            },
            "sink": {
                "type": "AzureBlobFSSink",
                "copyBehavior": "PreserveHierarchy"
            }
        }
    }
]

Some recursive and copyBehavior examples

This section describes the resulting behavior of the Copy operation for different combinations of recursive and copyBehavior values.

recursive copyBehavior Source folder structure Resulting target
true preserveHierarchy Folder1
    File1
    File2
    Subfolder1
        File3
        File4
        File5
The target folder Folder1 is created with the same structure as the source:

Folder1
    File1
    File2
    Subfolder1
        File3
        File4
        File5
true flattenHierarchy Folder1
    File1
    File2
    Subfolder1
        File3
        File4
        File5
The target Folder1 is created with the following structure:

Folder1
    autogenerated name for File1
    autogenerated name for File2
    autogenerated name for File3
    autogenerated name for File4
    autogenerated name for File5
true mergeFiles Folder1
    File1
    File2
    Subfolder1
        File3
        File4
        File5
The target Folder1 is created with the following structure:

Folder1
    File1 + File2 + File3 + File4 + File5 contents are merged into one file with an autogenerated file name.
false preserveHierarchy Folder1
    File1
    File2
    Subfolder1
        File3
        File4
        File5
The target folder Folder1 is created with the following structure:

Folder1
    File1
    File2

Subfolder1 with File3, File4, and File5 is not picked up.
false flattenHierarchy Folder1
    File1
    File2
    Subfolder1
        File3
        File4
        File5
The target folder Folder1 is created with the following structure:

Folder1
    autogenerated name for File1
    autogenerated name for File2

Subfolder1 with File3, File4, and File5 is not picked up.
false mergeFiles Folder1
    File1
    File2
    Subfolder1
        File3
        File4
        File5
The target folder Folder1 is created with the following structure

Folder1
    File1 + File2 contents are merged into one file with an autogenerated file name. autogenerated name for File1

Subfolder1 with File3, File4, and File5 is not picked up.

Next steps

For a list of data stores supported as sources and sinks by the copy activity in Data Factory, see Supported data stores.