Load Google Cloud Storage Data to a Database Using Embulk

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

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

Configure a JDBC Connection to Google Cloud Storage 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 JDBC Driver for Google Cloud Storage\lib).

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

Authenticate with a User Account

You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

Authenticate with a Service Account

Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

• InitiateOAuth: Set this to GETANDREFRESH.
• OAuthJWTCertType: Set this to "PFXFILE".
• OAuthJWTCert: Set this to the path to the .p12 file you generated.
• OAuthJWTCertPassword: Set this to the password of the .p12 file.
• OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
• OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
• OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
• ProjectId: Set this to the Id of the project you want to connect to.

The OAuth flow for a service account then completes.

Built-in Connection String Designer

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

java -jar cdata.jdbc.googlecloudstorage.jar

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

👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)

Below is a typical JDBC connection string for Google Cloud Storage:

jdbc:googlecloudstorage:ProjectId='project1';InitiateOAuth=GETANDREFRESH;

Load Google Cloud Storage 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 Google Cloud Storage data into MySQL using Embulk.

Create a Job to Load Google Cloud Storage Data

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

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

Sample Config File (googlecloudstorage-mysql.yml)

in:
	type: jdbc
	driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.googlecloudstorage.jar
	driver_class: cdata.jdbc.googlecloudstorage.GoogleCloudStorageDriver
	url: jdbc:googlecloudstorage:ProjectId='project1';InitiateOAuth=GETANDREFRESH;
	table: "Buckets"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "Buckets"
	mode: insert

After creating the file, run the Embulk job.

embulk run googlecloudstorage-mysql.yml

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

Load Filtered Google Cloud Storage 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.googlecloudstorage.jar
	driver_class: cdata.jdbc.googlecloudstorage.GoogleCloudStorageDriver
	url: jdbc:googlecloudstorage:ProjectId='project1';InitiateOAuth=GETANDREFRESH;
	query: "SELECT Name, OwnerId FROM Buckets WHERE [RecordId] = 1"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "Buckets"
	mode: insert

More Information & Free Trial

By using CData JDBC Driver for Google Cloud Storage as a connector, Embulk can integrate Google Cloud Storage 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.