Load AWS Management Data to a Database Using Embulk

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AWS Management JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with live AWS Management data!



Use CData JDBC Driver for AWS Management with the open source ETL/ELT tool Embulk to load AWS Management data to a database.

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

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

Configure a JDBC Connection to AWS Management 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 AWS Management\lib).

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

To authorize AWSDataManagement requests, provide the credentials for an administrator account or for an IAM user with custom permissions:

  1. Set AccessKey to the access key Id.
  2. Set SecretKey to the secret access key.
  3. Set Region to the region where your AWSDataManagement data is hosted.

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

Built-in Connection String Designer

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

java -jar cdata.jdbc.awsdatamanagement.jar

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

Below is a typical JDBC connection string for AWS Management:

jdbc:awsdatamanagement:AccessKey=myAccessKey;Account=myAccountName;Region=us-east-1;

Load AWS Management 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
  2. embulk gem install embulk-input-jdbc
  3. 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 AWS Management data into MySQL using Embulk.

Create a Job to Load AWS Management Data

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

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

Sample Config File (awsdatamanagement-mysql.yml)

in: type: jdbc driver_path: C:\Program Files\CData\CData JDBC Driver for AWS Management 20xx\lib\cdata.jdbc.awsdatamanagement.jar driver_class: cdata.jdbc.awsdatamanagement.AWSDataManagementDriver url: jdbc:awsdatamanagement:AccessKey=myAccessKey;Account=myAccountName;Region=us-east-1; table: "NorthwingProducts" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "NorthwingProducts" mode: insert

After creating the file, run the Embulk job.

embulk run awsdatamanagement-mysql.yml

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

Load Filtered AWS Management 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\CData JDBC Driver for AWS Management 20xx\lib\cdata.jdbc.awsdatamanagement.jar driver_class: cdata.jdbc.awsdatamanagement.AWSDataManagementDriver url: jdbc:awsdatamanagement:AccessKey=myAccessKey;Account=myAccountName;Region=us-east-1; query: "SELECT PartitionKey, Name FROM NorthwingProducts WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "NorthwingProducts" mode: insert

More Information & Free Trial

By using CData JDBC Driver for AWS Management as a connector, Embulk can integrate AWS Management 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.