Integrate SQL Server with External Services using SnapLogic

SnapLogic is an integration platform-as-a-service (iPaaS) that allows users to create data integration flows with no code. When paired with the CData JDBC Drivers, users get access to live data from more than 250+ SaaS, Big Data and NoSQL sources, including SQL Server, in their SnapLogic workflows.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live SQL Server data. When platforms issue complex SQL queries to SQL Server, the driver pushes supported SQL operations, like filters and aggregations, directly to SQL Server and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying lets you work with SQL Server data using native data types.

Connect to SQL Server in SnapLogic

To connect to SQL Server data in SnapLogic, download and install the CData SQL Server JDBC Driver. Follow the installation dialog. When the installation is complete, the JAR file can be found in the installation directory (C:/Program Files/CData/CData JDBC Driver for SQL Server/lib by default).

Upload the SQL Server JDBC Driver

After installation, upload the JDBC JAR file to a location in SnapLogic (for example, projects/Jerod Johnson) from the Manager tab.

Configure the Connection

Once the JDBC Driver is uploaded, we can create the connection to SQL Server.

1. Navigate to the Designer tab
2. Expand "JDBC" from Snaps and drag a "Generic JDBC - Select" snap onto the designer
3. Click Add Account (or select an existing one) and click "Continue"
4. In the next form, configure the JDBC connection properties:
   • Under JDBC JARs, add the JAR file we previously uploaded
   • Set JDBC Driver Class to cdata.jdbc.sql.SQLDriver

   • Set JDBC URL to a JDBC connection string for the SQL Server JDBC Driver, for example:

     jdbc:sql:User=myUser;Password=myPassword;Database=NorthWind;Server=myServer;Port=1433;RTK=XXXXXX;

     NOTE: RTK is a trial or full key. Contact our Support team for more information.

     Built-In Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the SQL Server JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

     java -jar cdata.jdbc.sql.jar

     Fill in the connection properties and copy the connection string to the clipboard.

     Connecting to Microsoft SQL Server

     Connect to Microsoft SQL Server using the following properties:

     • Server: The name of the server running SQL Server.
     • User: The username provided for authentication with SQL Server.
     • Password: The password associated with the authenticating user.
     • Database: The name of the SQL Server database.

     Connecting to Azure SQL Server and Azure Data Warehouse

     You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

     • Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
     • User: The name of the user authenticating to Azure.
     • Password: The password associated with the authenticating user.
     • Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.
5. After entering the connection properties, click "Validate" and "Apply"

Read SQL Server Data

In the form that opens after validating and applying the connection, configure your query.

• Set Schema name to "SQL"
• Set Table name to a table for SQL Server using the schema name, for example: "SQL"."Orders" (use the drop-down to see the full list of available tables)
• Add Output fields for each item you wish to work with from the table

Save the Generic JDBC - Select snap.

With connection and query configured, click the end of the snap to preview the data (highlighted below).

Once you confirm the results are what you expect, you can add additional snaps to funnel your SQL Server data to another endpoint.

Piping SQL Server Data to External Services

For this article, we will load data in a Google Spreadsheet. You can use any of the supported snaps, or even use a Generic JDBC snap with another CData JDBC Driver, to move data into an external service.

1. Start by dropping a "Worksheet Writer" snap onto the end of the "Generic JDBC - Select" snap.
2. Add an account to connect to Google Sheets
3. Configure the Worksheet Writer snap to write your SQL Server data to a Google Spreadsheet

You can now execute the fully configured pipeline to extract data from SQL Server and push it into a Google Spreadsheet.

Piping External Data to SQL Server

As mentioned above, you can also use the JDBC Driver for SQL Server in SnapLogic to write data to SQL Server. Start by adding a Generic JDBC - Insert or Generic JDBC - Update snap to the dashboard.

1. Select the existing "Account" (connection) or create a new one
2. Configure the query:
   • Set Schema name to "SQL"
   • Set Table name to a table for SQL Server using the schema name, for example: "SQL"."Orders" (use the drop-down to see the full list of available tables)
3. Save the Generic JDBC - Insert/Update snap

At this point, you have configured a snap to write data to SQL Server, inserting new records or updating existing ones.

More Information & Free Trial

Using the CData JDBC Driver for SQL Server you can create a pipeline in SnapLogic for integrating SQL Server data with external services. For more information about connecting to SQL Server, check at our CData JDBC Driver for SQL Server page. Download a free, 30 day trial of the CData JDBC Driver for SQL Server and get started today.