Automated Continuous SAS xpt Replication to SQL Server



Use CData Sync for automated, continuous, customizable SAS xpt replication to SQL Server.

Always-on applications rely on automatic failover capabilities and real-time data access. CData Sync integrates live SAS xpt data into your SQL Server instance, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, machine learning, artificial intelligence and more.

Configure SQL Server as a Replication Destination

Using CData Sync, you can replicate SAS xpt data to SQL Server. To add a replication destination, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select SQL Server as a destination.
  3. Enter the necessary connection properties. To connect to SQL Server, set the following:
    • Server: The name or network address of the computer running SQL Server.
    • User: The username provided for authentication with SQL Server, if using forms authentication.
    • Password: The password provided for authentication with SQL Server, if using forms authentication.
    • Database: The name of the SQL Server database.

    Java Edition

    The Java version requires the Microsoft SQL Server JDBC Driver, which can be downloaded from the Microsoft Download Center. Copy the JDBC driver to the lib folder of your Java Web server to make a connection.

  4. Click Test Connection to ensure that the connection is configured properly.
  5. Click Save Changes.

Configure the SAS xpt Connection

You can configure a connection to SAS xpt from the Connections tab. To add a connection to your SAS xpt account, navigate to the Connections tab.

  1. Click Add Connection.
  2. Select a source (SAS xpt).
  3. Configure the connection properties.

    Connecting to Local SASXpt Files

    You can connect to local SASXpt file by setting the URI to a folder containing SASXpt files.

    Connecting to S3 data source

    You can connect to Amazon S3 source to read SASXpt files. Set the following properties to connect:

    • URI: Set this to the folder within your bucket that you would like to connect to.
    • AWSAccessKey: Set this to your AWS account access key.
    • AWSSecretKey: Set this to your AWS account secret key.
    • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

    Connecting to Azure Data Lake Storage Gen2

    You can connect to ADLS Gen2 to read SASXpt files. Set the following properties to connect:

    • URI: Set this to the name of the file system and the name of the folder which contacts your SASXpt files.
    • AzureAccount: Set this to the name of the Azure Data Lake storage account.
    • AzureAccessKey: Set this to our Azure DataLakeStore Gen 2 storage account access key.
    • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

  4. Click Connect to ensure that the connection is configured properly.
  5. Click Save 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, click Add Tables in the Tables section, choose the table(s) you wish to replicate, and click Add Selected Tables.

Customize Your Replication

You can use the Columns and Query tabs of a task to customize your replication. The Columns tab allows you to specify which columns to replicate, rename the columns at the destination, and even perform operations on the source data before replicating. The Query tab allows you to add filters, grouping, and sorting to the replication.

Schedule Your Replication

In the Schedule section, you can schedule a job to run automatically, configuring the job to run after 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 SAS xpt data to SQL Server.

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