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Load Azure DevOps Data to a Database Using Embulk


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

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

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

Configure a JDBC Connection to Azure DevOps 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 DevOps\lib).

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

You can connect to your Azure DevOps account by providing the Organization and PersonalAccessToken.

Obtaining a Personal Access Token

A PersonalAccessToken is necessary for account authentication.

To generate one, log in to your Azure DevOps Organization account and navigate to Profile -> Personal Access Tokens -> New Token. The generated token will be displayed.

If you wish to authenticate to Azure DevOps using OAuth refer to the online Help documentation for an authentication guide.

Built-in Connection String Designer

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

java -jar cdata.jdbc.azuredevops.jar

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

Below is a typical JDBC connection string for Azure DevOps:

jdbc:azuredevops:AuthScheme=Basic;Organization=MyAzureDevOpsOrganization;ProjectId=MyProjectId;PersonalAccessToken=MyPAT;InitiateOAuth=GETANDREFRESH

Load Azure DevOps 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 Azure DevOps data into MySQL using Embulk.

Create a Job to Load Azure DevOps Data

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

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

Sample Config File (azuredevops-mysql.yml)

in: type: jdbc driver_path: C:\Program Files\CData[product_name] 20xx\lib\cdata.jdbc.azuredevops.jar driver_class: cdata.jdbc.azuredevops.AzureDevOpsDriver url: jdbc:azuredevops:AuthScheme=Basic;Organization=MyAzureDevOpsOrganization;ProjectId=MyProjectId;PersonalAccessToken=MyPAT;InitiateOAuth=REFRESH table: "Builds" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Builds" mode: insert

After creating the file, run the Embulk job.

embulk run azuredevops-mysql.yml

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

Load Filtered Azure DevOps 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.azuredevops.jar driver_class: cdata.jdbc.azuredevops.AzureDevOpsDriver url: jdbc:azuredevops:AuthScheme=Basic;Organization=MyAzureDevOpsOrganization;ProjectId=MyProjectId;PersonalAccessToken=MyPAT;InitiateOAuth=REFRESH query: "SELECT Id, BuildNumber FROM Builds WHERE [RecordId] = 1" out: type: mysql host: localhost database: DatabaseName user: UserId password: UserPassword table: "Builds" mode: insert

More Information & Free Trial

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

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