Build Data Flows from Alchemy to SQL Server using SSIS

Using SQL Server as a backup for critical business data provides an essential safety net against loss. Backing up data to SQL Server enables business users to more easily connect that data with features like reporting, analytics, and more.

This example demonstrates how to use the CData SSIS Tasks for Alchemy inside of a SQL Server SSIS workflow to transfer Alchemy data into a Microsoft SQL Server database.

Add the Components

To get started, add a new Alchemy source and SQL Server ADO.NET destination to a new data flow task.

Create a New Connection Manager

Follow the steps below to save Alchemy connection properties in a connection manager.

1. In the Connection Manager window, right-click and then click New Connection. The Add SSIS Connection Manager dialog is displayed.
2. In the Connection Manager type menu, select API. The CData Alchemy Connection Manager is displayed.
3. Configure connection properties.

   Start by setting the Profile connection property to the location of the Alchemy Profile on disk (e.g. C:\profiles\Alchemy.apip). Next, set the ProfileSettings connection property to the connection string for Alchemy (see below).

   Alchemy API Profile Settings

   Alchemy uses API key authentication. The API key is supplied in the request URL path. To obtain an API key:

   1. Sign in to your Alchemy account at https://dashboard.alchemy.com.
   2. Open an existing app or create a new one.
   3. Copy the app's API key from the API Key dialog.

   After obtaining your API key, set the following connection properties:

   • AuthScheme: Set this to APIKey.
   • Network: Optional. The blockchain network slug for NFT API requests (for example, eth-mainnet, base-mainnet, polygon-mainnet). Defaults to eth-mainnet.

   Set the following in the ProfileSettings connection property:

   • APIKey: Set this to your Alchemy app API key.
   

Configure the Alchemy Source

Follow the steps below to specify the query to be used to extract Alchemy data.

1. Double-click the Alchemy source to open the source component editor.
2. In the Connection Manager menu, select the connection manager previously created.
3. Specify the query to use for the data extraction. For example:

   
   SELECT Address, Name FROM ContractsForOwner WHERE Owner = '0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045'
   

   
4. Close the Alchemy Source control and connect it to the ADO.NET Destination.

Configure the SQL Server Destination

Follow the steps below to specify the SQL server table to load the Alchemy data into.

1. Open the ADO.NET Destination and add a New Connection. Enter your server and database information here.
2. In the Data access mode menu, select "table or view".
3. In the Table Or View menu, select the table or view to populate.
4. Configure any properties you wish to on the Mappings screen.

Run the Project

You can now run the project. After the SSIS Task has finished executing, your database will be populated with Alchemy data.