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Load Redshift Data to a Database Using Embulk


Use CData JDBC drivers with the open source ETL/ELT tool Embulk to load Redshift data to a database.

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

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

Configure a JDBC Connection to Redshift 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 Redshift\lib).

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

To connect to Redshift, set the following:

  • Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
  • Port: Set this to the port of the cluster.
  • Database: Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
  • User: Set this to the username you want to use to authenticate to the Server.
  • Password: Set this to the password you want to use to authenticate to the Server.

You can obtain the Server and Port values in the AWS Management Console:

  1. Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
  2. On the Clusters page, click the name of the cluster.
  3. On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.

Built-in Connection String Designer

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

java -jar cdata.jdbc.redshift.jar

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

Below is a typical JDBC connection string for Redshift:

jdbc:redshift:User=admin;Password=admin;Database=dev;Server=examplecluster.my.us-west-2.redshift.amazonaws.com;Port=5439;

Load Redshift 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 Redshift data into MySQL using Embulk.

Create a Job to Load Redshift Data

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

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

Sample Config File (redshift-mysql.yml)

in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.redshift.jar driver_class: cdata.jdbc.redshift.RedshiftDriver url: jdbc:redshift:User=admin;Password=admin;Database=dev;Server=examplecluster.my.us-west-2.redshift.amazonaws.com;Port=5439; table: "Orders" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Orders" mode: insert

After creating the file, run the Embulk job.

embulk run redshift-mysql.yml

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

Load Filtered Redshift 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.redshift.jar driver_class: cdata.jdbc.redshift.RedshiftDriver url: jdbc:redshift:User=admin;Password=admin;Database=dev;Server=examplecluster.my.us-west-2.redshift.amazonaws.com;Port=5439; query: "SELECT ShipName, ShipCity FROM Orders WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Orders" mode: insert

More Information & Free Trial

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