Replicate Multiple Azure Data Lake Storage Accounts

CData Sync is a standalone application designed to support a variety of replication scenarios, such as replicating both sandbox and production instances into your database. It includes a web-based interface that simplifies the management of multiple Azure Data Lake Storage connections. In this article, we demonstrate how to use the web app to replicate multiple Azure Data Lake Storage accounts into a single database.

Configure Replication Destinations

Using CData Sync, you can replicate data from Azure Data Lake Storage to any number of databases, both cloud-based and on-premises. In this example, we use SQLite as the replication destination to demonstrate the process. To add it as a destination, navigate to the Connections tab.

For each destination database:

1. Click Add Connection.
2. Select the Destinations tab and locate the SQLite connector.
3. Click the Configure Connection icon at the end of that row to open the New Connection page. If the Configure Connection icon is not available, click the Download Connector icon to install the SQLite connector. For more information about installing new connectors, see Connections in the Help documentation.
4. To connect to SQLite, set the following connection properties:
   • Connection Name: Enter a connection name of your choice.
   • Data Source: Enter the path to the database. You can replicate to an existing database or to a new one. The application must have permission to access the database.

5. Once connected, click Create & Test to create, test and save the connection.

You are now connected to SQLite and can use it as both a source and a destination.

NOTE: You can use the Label feature to add a label for a source or a destination.

Configure the Azure Data Lake Storage Connection

You can configure a connection to Azure Data Lake Storage from the Connections tab. To add a connection to your Azure Data Lake Storage account, navigate to the Connections tab.

1. Click Add Connection.
2. Select a source (Azure Data Lake Storage).
3. Configure the connection properties.
   
   

   Authenticating to a Gen 1 DataLakeStore Account

   Gen 1 uses OAuth 2.0 in Entra ID (formerly Azure AD) for authentication.

   For this, an Active Directory web application is required. You can create one as follows:

   1. Sign in to your Azure Account through the .
   2. Select "Entra ID" (formerly Azure AD).
   3. Select "App registrations".
   4. Select "New application registration".
   5. Provide a name and URL for the application. Select Web app for the type of application you want to create.
   6. Select "Required permissions" and change the required permissions for this app. At a minimum, "Azure Data Lake" and "Windows Azure Service Management API" are required.
   7. Select "Key" and generate a new key. Add a description, a duration, and take note of the generated key. You won't be able to see it again.

   To authenticate against a Gen 1 DataLakeStore account, the following properties are required:

   • Schema: Set this to ADLSGen1.
   • Account: Set this to the name of the account.
   • OAuthClientId: Set this to the application Id of the app you created.
   • OAuthClientSecret: Set this to the key generated for the app you created.
   • TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
   • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

   Authenticating to a Gen 2 DataLakeStore Account

   To authenticate against a Gen 2 DataLakeStore account, the following properties are required:

   • Schema: Set this to ADLSGen2.
   • Account: Set this to the name of the account.
   • FileSystem: Set this to the file system which will be used for this account.
   • AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
   • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.
   
4. Click Connect to Azure Data Lake Storage to ensure that the connection is configured properly.
5. Click Save & Test to save the changes.

Configure Replication Queries

CData Sync enables you to control replication with a point-and-click interface and with SQL queries. For each replication you wish to configure, navigate to the Jobs tab and click Add Job. Select the Source and Destination for your replication.

Replicate Entire Tables

To replicate an entire table, navigate to the Task tab in the Job, click Add Tasks, choose the table(s) from the list of Azure Data Lake Storage tables you wish to replicate into SQLite, and click Add Tasks again.

Customize Your Replication

The statement below caches and incrementally updates a table of Azure Data Lake Storage data:

REPLICATE Resources;

You can specify a file containing the replication queries you want to use to update a particular database. Separate the replication statements with semicolons. The following options are useful when replicating multiple Azure Data Lake Storage accounts into the same database:

• Use a different table prefix in the REPLICATE SELECT statement:

  REPLICATE PROD_Resources SELECT * FROM Resources;
  

• Alternatively, use a different schema:

  REPLICATE PROD.Resources SELECT * FROM Resources;
  

Schedule Your Replication

Select the Overview tab in the Job, and click Configure under Schedule. You can schedule a job to run automatically by configuring it to run at specified intervals, ranging from once every 10 minutes to once every month.

Once you have configured the replication job, click Save Changes. You can configure any number of jobs to manage the replication of your Azure Data Lake Storage data to disparate on-premises, cloud-based, and other databases.

Run the Replication Job

Once all the required configurations are made for the job, select the Azure Data Lake Storage table you wish to replicate and click Run. After the replication completes successfully, a notification appears, showing the time taken to run the job and the number of rows replicated.

Free Trial & More Information

Now that you've seen how to replicate and configure multiple jobs to manage the replication of your Azure Data Lake Storage data to various on-premises, cloud-based, and other databases, visit our CData Sync page to learn more and download a free 30-day trial. Start consolidating your enterprise data today!

As always, our world-class Support Team is ready to answer any questions you may have.