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Load IBM Cloud Data Engine Data to a Database Using Embulk


Use CData JDBC drivers with the open source ETL/ELT tool Embulk to load IBM Cloud Data Engine data to a database.

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

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

Configure a JDBC Connection to IBM Cloud Data Engine 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 IBM Cloud Data Engine\lib).

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

IBM Cloud Data Engine uses the OAuth and HMAC authentication standards. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

Built-in Connection String Designer

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

java -jar cdata.jdbc.ibmclouddataengine.jar

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

Below is a typical JDBC connection string for IBM Cloud Data Engine:

jdbc:ibmclouddataengine:Api Key=MyAPIKey;Instance CRN=myInstanceCRN;Region=myRegion;Schema=mySchema;OAuth Client Id=myOAuthClientId;OAuth Client Secret=myOAuthClientSecret;InitiateOAuth=GETANDREFRESH

Load IBM Cloud Data Engine 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
  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 IBM Cloud Data Engine data into MySQL using Embulk.

Create a Job to Load IBM Cloud Data Engine Data

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

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

Sample Config File (ibmclouddataengine-mysql.yml)

in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.ibmclouddataengine.jar driver_class: cdata.jdbc.ibmclouddataengine.IBMCloudDataEngineDriver url: jdbc:ibmclouddataengine:Api Key=MyAPIKey;Instance CRN=myInstanceCRN;Region=myRegion;Schema=mySchema;OAuth Client Id=myOAuthClientId;OAuth Client Secret=myOAuthClientSecret;InitiateOAuth=REFRESH table: "Jobs" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Jobs" mode: insert

After creating the file, run the Embulk job.

embulk run ibmclouddataengine-mysql.yml

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

Load Filtered IBM Cloud Data Engine 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.ibmclouddataengine.jar driver_class: cdata.jdbc.ibmclouddataengine.IBMCloudDataEngineDriver url: jdbc:ibmclouddataengine:Api Key=MyAPIKey;Instance CRN=myInstanceCRN;Region=myRegion;Schema=mySchema;OAuth Client Id=myOAuthClientId;OAuth Client Secret=myOAuthClientSecret;InitiateOAuth=REFRESH query: "SELECT Id, Status FROM Jobs WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Jobs" mode: insert

More Information & Free Trial

By using CData JDBC Driver for IBM Cloud Data Engine as a connector, Embulk can integrate IBM Cloud Data Engine 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.