Load Amazon S3 Data to a Database Using Embulk

Embulk is an open source bulk data loader. When paired with the CData JDBC Driver for Amazon S3, Embulk easily loads data from Amazon S3 to any supported destination. In this article, we explain how to use the CData JDBC Driver for Amazon S3 in Embulk to load Amazon S3 data to a MySQL dtabase.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Amazon S3 data. When you issue complex SQL queries to Amazon S3, the driver pushes supported SQL operations, like filters and aggregations, directly to Amazon S3 and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Configure a JDBC Connection to Amazon S3 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 Amazon S3\lib).

Embulk supports JDBC connectivity, so you can easily connect to Amazon S3 and execute SQL queries. Before creating a bulk load job, create a JDBC URL for authenticating with Amazon S3.

To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Amazon S3 JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.amazons3.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 Amazon S3:

jdbc:amazons3:AccessKey=a123;SecretKey=s123;

Load Amazon S3 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 Amazon S3 data into MySQL using Embulk.

Create a Job to Load Amazon S3 Data

Start by creating a config file in Embulk, using a name like amazons3-mysql.yml.

1. For the input plugin options, use the CData JDBC Driver for Amazon S3, including the path to the driver JAR file, the driver class (e.g. cdata.jdbc.amazons3.AmazonS3Driver), and the JDBC URL from above
2. For the output plugin options, use the values and credentials for the MySQL database

Sample Config File (amazons3-mysql.yml)

in:
	type: jdbc
	driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.amazons3.jar
	driver_class: cdata.jdbc.amazons3.AmazonS3Driver
	url: jdbc:amazons3:AccessKey=a123;SecretKey=s123;
	table: "ObjectsACL"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "ObjectsACL"
	mode: insert

After creating the file, run the Embulk job.

embulk run amazons3-mysql.yml

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

Load Filtered Amazon S3 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.amazons3.jar
	driver_class: cdata.jdbc.amazons3.AmazonS3Driver
	url: jdbc:amazons3:AccessKey=a123;SecretKey=s123;
	query: "SELECT Name, OwnerId FROM ObjectsACL WHERE [RecordId] = 1"
out: 
	type: mysql
	host: localhost
	database: DatabaseName
	user: UserId
	password: UserPassword
	table: "ObjectsACL"
	mode: insert

More Information & Free Trial

By using CData JDBC Driver for Amazon S3 as a connector, Embulk can integrate Amazon S3 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.