Load Vercel Data to a Database Using Embulk

Embulk is an open source bulk data loader. When paired with the CData API Driver for JDBC, Embulk easily loads data from Vercel to any supported destination. In this article, we explain how to use the CData API Driver for JDBC in Embulk to load Vercel data to a MySQL dtabase.

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

Configure a JDBC Connection to Vercel Data

Before creating a bulk load job in Embulk, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData API Driver for JDBC\lib).

Embulk supports JDBC connectivity, so you can easily connect to Vercel and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with Vercel.

Using API Key Authentication

Vercel uses Bearer token authentication. You can use either a personal access token or an OAuth access token as the API key.

To obtain a personal access token:

1. Log into your Vercel account at https://vercel.com/
2. Navigate to Account Settings > Tokens.
3. Click Create Token, enter a name and expiration, and click Create.
4. Copy the generated token (it will only be shown once).

After obtaining your token, set the following connection properties:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your Vercel personal access token or OAuth access token.

Example Connection String

Profile=C:\profiles\Vercel.apip;AuthScheme=APIKey;APIKey=your_access_token;

Working with Teams

Many Vercel resources are scoped to a team. To scope all requests to a specific team, set the TeamId connection property to your team's ID. You can find your team ID by querying the Teams table or from the Vercel dashboard. Alternatively, you can specify TeamId in your SQL queries using the WHERE clause where supported.

Connecting to Vercel

Once the authentication is configured, you can connect to Vercel and query data from any of the available tables such as Projects, Deployments, Teams, and Domains.

Built-in Connection String Designer

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

java -jar cdata.jdbc.api.jar

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

Below is a typical JDBC connection string for Vercel:

jdbc:api:Profile=C:\profiles\Vercel.apip;AuthScheme=APIKey;APIKey=your_access_token;

Load Vercel Data in Embulk

After installing the CData JDBC Driver and creating a JDBC connection string, install the required Embulk plugins.

Install Embulk Input & Output Plugins

1. Install the JDBC Input Plugin in Embulk.
   https://github.com/embulk/embulk-input-jdbc/tree/master/embulk-input-jdbc

embulk gem install embulk-input-jdbc

2. In this article, we use MySQL as the destination database. You can also choose SQL Server, PostgreSQL, or Google BigQuery as the destination using the output Plugins.
   https://github.com/embulk/embulk-output-jdbc/tree/master/embulk-output-mysql

   embulk gem install embulk-output-mysql
   

With the input and output plugins installed, we are ready to load Vercel data into MySQL using Embulk.

Create a Job to Load Vercel Data

Start by creating a config file in Embulk, using a name like api-mysql.yml.

1. For the input plugin options, use the CData API Driver for JDBC, including the path to the driver JAR file, the driver class (e.g. cdata.jdbc.api.APIDriver), and the JDBC URL from above
2. For the output plugin options, use the values and credentials for the MySQL database

Sample Config File (api-mysql.yml)

in:
	type: jdbc
	driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.api.jar
	driver_class: cdata.jdbc.api.APIDriver
	url: jdbc:api:Profile=C:\profiles\Vercel.apip;AuthScheme=APIKey;APIKey=your_access_token;
	table: "User"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "User"
	mode: insert

After creating the file, run the Embulk job.

embulk run api-mysql.yml

After running the the Embulk job, find the Salesforce data in the MySQL table.

Load Filtered Vercel Data

In addition to loading data directly from a table, you can use a custom SQL query to have more granular control of the data loaded. You can also perform increment loads by setting a last updated column in a SQL WHERE clause in the query field.

in:
	type: jdbc
	driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.api.jar
	driver_class: cdata.jdbc.api.APIDriver
	url: jdbc:api:Profile=C:\profiles\Vercel.apip;AuthScheme=APIKey;APIKey=your_access_token;
	query: "SELECT ,  FROM User WHERE [RecordId] = 1"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "User"
	mode: insert

More Information & Free Trial

By using CData API Driver for JDBC as a connector, Embulk can integrate Vercel data into your data load jobs. And with drivers for more than 200+ other enterprise sources, you can integrate any enterprise SaaS, big data, or NoSQL source as well. Download a 30-day free trial and get started today.