Load Azure Data Catalog Data to a Database Using Embulk

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Azure Data Catalog JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Azure Data Catalog.



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

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

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

Configure a JDBC Connection to Azure Data Catalog 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 Azure Data Catalog\lib).

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

You can optionally set the following to read the different catalog data returned from Azure Data Catalog.

    CatalogName: Set this to the CatalogName associated with your Azure Data Catalog. To get your Catalog name, navigate to your Azure Portal home page > Data Catalog > Catalog Name

Connect Using OAuth Authentication

You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in the help documentation.

Built-in Connection String Designer

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

java -jar cdata.jdbc.azuredatacatalog.jar

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

Below is a typical JDBC connection string for Azure Data Catalog:

jdbc:azuredatacatalog:InitiateOAuth=GETANDREFRESH

Load Azure Data Catalog 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 Azure Data Catalog data into MySQL using Embulk.

Create a Job to Load Azure Data Catalog Data

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

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

Sample Config File (azuredatacatalog-mysql.yml)

in: type: jdbc driver_path: C:\Program Files\CData\CData JDBC Driver for Azure Data Catalog 20xx\lib\cdata.jdbc.azuredatacatalog.jar driver_class: cdata.jdbc.azuredatacatalog.AzureDataCatalogDriver url: jdbc:azuredatacatalog:InitiateOAuth=REFRESH table: "Tables" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Tables" mode: insert

After creating the file, run the Embulk job.

embulk run azuredatacatalog-mysql.yml

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

Load Filtered Azure Data Catalog 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 Azure Data Catalog 20xx\lib\cdata.jdbc.azuredatacatalog.jar driver_class: cdata.jdbc.azuredatacatalog.AzureDataCatalogDriver url: jdbc:azuredatacatalog:InitiateOAuth=REFRESH query: "SELECT DslAddressDatabase, Type FROM Tables WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Tables" mode: insert

More Information & Free Trial

By using CData JDBC Driver for Azure Data Catalog as a connector, Embulk can integrate Azure Data Catalog 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.