How to connect to Bitbucket Data from Spring Boot



Connect to Bitbucket in a Spring Boot Application using CData JDBC Bitbucket Driver

Spring Boot is a framework that makes engineering Java web applications easier. It offers the ability to create standalone applications with minimal configuration. When paired with the CData JDBC driver for Bitbucket, Spring Boot can work with live Bitbucket data. This article shows how to configure data sources and retrieve data in your Java Spring Boot Application, using the CData JDBC Driver for Bitbucket.

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

Creating the Spring Boot Project in Java

In an IDE (in this tutorial, we use IntelliJ), choose a Maven project: In the generated project, go to the pom.xml file, and add the required dependencies for Spring Boot:

<?xml version="1.0" encoding="UTF-8"?> <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>2.7.2</version> <relativePath/> </parent> <groupId>com.example</groupId> <artifactId>demo</artifactId> <version>0.0.1-SNAPSHOT</version> <name>demo</name> <description>Demo project for Spring Boot</description> <properties> <java.version>1.8</java.version> </properties> <build> <plugins> <plugin> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-maven-plugin</artifactId> </plugin> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-install-plugin</artifactId> <version>2.5.1</version> <executions> <execution> <id>id.install-file</id> <phase>clean</phase> <goals> <goal>install-file</goal> </goals> <configuration> <file>C:\Program Files\CData[product_name] ####\lib\cdata.jdbc.bitbucket.jar</file> <groupId>org.cdata.connectors</groupId> <artifactId>cdata-bitbucket-connector</artifactId> <version>23</version> <packaging>jar</packaging> </configuration> </execution> </executions> </plugin> </plugins> </build> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-jdbc</artifactId> <version>2.7.0</version> </dependency> <dependency> <groupId>org.cdata.connectors</groupId> <artifactId>cdata-bitbucket-connector</artifactId> <version>23</version> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> </dependencies> <distributionManagement> <repository> <uniqueVersion>false</uniqueVersion> <id>test</id> <name>My Repository</name> <url>scp://repo/maven2</url> <layout>default</layout> </repository> </distributionManagement> </project>

Note: The year (####) and the version number (as seen in the provided XML script) should be adjusted according to the current version of the CData JDBC driver being utilized.

Project Structure

In the java directory, create a new package. Usually the name of the package is the name of the groupId (com.example) followed by the artifactId (.MDS).

Mark the "java" directory as the "Sources Root" (denoted by a blue color). To do this, right-click the java directory and choose Mark Directory as -> Sources Root (As shown below). Additionally, mark the "resources" directory as the "Resources Root."

Store Database Connection Properties

Create an "application.properties" file to store the database connection properties. To do this, right-click on the "resources" folder, opt for New -> File, input the file name as "application.properties," and press Enter.

In the application.properties file, we set the configuration properties for the Bitbucket JDBC Driver, using the Class name and JDBC URL:

spring.datasource.driver=cdata.jdbc.bitbucket.BitbucketDriver spring.datasource.url=jdbc:bitbucket:Workspace=myworkspaceslug;Schema=InformationInitiateOAuth=GETANDREFRESH

Built-in Connection String Designer

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

java -jar cdata.jdbc.bitbucket.jar

For most queries, you must set the Workspace. The only exception to this is the Workspaces table, which does not require this property to be set, as querying it provides a list of workspace slugs that can be used to set Workspace. To query this table, you must set Schema to 'Information' and execute the query SELECT * FROM Workspaces>.

Setting Schema to 'Information' displays general information. To connect to Bitbucket, set these parameters:

  • Schema: To show general information about a workspace, such as its users, repositories, and projects, set this to Information. Otherwise, set this to the schema of the repository or project you are querying. To get a full set of available schemas, query the sys_schemas table.
  • Workspace: Required if you are not querying the Workspaces table. This property is not required for querying the Workspaces table, as that query only returns a list of workspace slugs that can be used to set Workspace.

Authenticating to Bitbucket

Bitbucket supports OAuth authentication only. To enable this authentication from all OAuth flows, you must create a custom OAuth application, and set AuthScheme to OAuth.

Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).

Creating a custom OAuth application

From your Bitbucket account:

  1. Go to Settings (the gear icon) and select Workspace Settings.
  2. In the Apps and Features section, select OAuth Consumers.
  3. Click Add Consumer.
  4. Enter a name and description for your custom application.
  5. Set the callback URL:
    • For desktop applications and headless machines, use http://localhost:33333 or another port number of your choice. The URI you set here becomes the CallbackURL property.
    • For web applications, set the callback URL to a trusted redirect URL. This URL is the web location the user returns to with the token that verifies that your application has been granted access.
  6. If you plan to use client credentials to authenticate, you must select This is a private consumer. In the driver, you must set AuthScheme to client.
  7. Select which permissions to give your OAuth application. These determine what data you can read and write with it.
  8. To save the new custom application, click Save.
  9. After the application has been saved, you can select it to view its settings. The application's Key and Secret are displayed. Record these for future use. You will use the Key to set the OAuthClientId and the Secret to set the OAuthClientSecret.

After setting the properties in the application.properties file, we now configure them.

Data Source Configuration

First, we mark the Bitbucket data source as our primary data source. Then, we create a Data Source Bean.

Create a DriverManagerDataSource.java file and create a Bean within it, as shown below. If @Bean gives an error, Spring Boot may not have loaded properly. To fix this, go to File -> Invalidate Caches and restart. Additionally, make sure that Maven has added the Spring Boot dependencies.

To create a data source bean, we use the DriverManagerDataSource Class. This class allows us to set the properties of the data source. To create this Java class, right-click on "com.example.MDS" package, and choose New -> Java Class.

The following code shows the bean definition of our data source. Each driver should have a bean.

import org.springframework.beans.factory.annotation.Autowired; import org.springframework.boot.jdbc.DataSourceBuilder; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Primary; import org.springframework.core.env.Environment; import javax.sql.DataSource; public class DriverManagerDataSource{ @Autowired private static Environment env; @Bean(name ="Bitbucket") @Primary public static DataSource BitbucketDataSource() { DataSourceBuilder<?> dataSourceBuilder = DataSourceBuilder.create(); dataSourceBuilder.driverClassName("cdata.jdbc.bitbucket.BitbucketDriver"); dataSourceBuilder.url("jdbc:bitbucket:Workspace=myworkspaceslug;Schema=InformationInitiateOAuth=GETANDREFRESH"); return dataSourceBuilder.build(); } //@Override public void setEnvironment( final Environment environment) { env=environment; } }

Next, move the Bitbucket jar file to the Documents folder (see path in command below) - The idea is to have a path without any spaces for the jar file. Then, click the Maven icon (top right corner of IntelliJ) and click "Execute Maven Goal." Now, run the following command:

mvn install:install-file "-Dfile=C:\Program Files\CData[product_name] ####\lib\cdata.jdbc.bitbucket.jar" -DgroupId=org.cdata.connectors -DartifactId=cdata-bitbucket-connector -Dversion=23 -Dpackaging=jar

Follow either of the given steps to run this command:

  1. The "-Dfile location" can be kept as the default installation path of the CData JDBC Driver. Make sure to keep the path in quotations in this case. Also, change the year and "Dversion" based on the current version of the driver being used.
  2. As mentioned earlier in the article, in case you relocate the jar file to the Documents folder, make sure to modify the path in the provided command. In such instances, avoid enclosing the Dfile location in quotations and edit "Dversion" based on the current version of the driver being used.

After pressing enter, we see the following output:

Testing the Connection

The last step is testing the connection. Create a new Java class following the format (e.g., "MDSApplication"). You have the flexibility to select any name for the application class. We call the data source in the main method of MDSApplication.java:

import org.springframework.boot.SpringApplication; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration; import java.sql.Connection; import java.sql.SQLException; import static com.example.demo.DriverManagerDataSources.BitbucketDataSource; @SpringBootApplication(exclude = {DataSourceAutoConfiguration.class}) public class MDSApplication { //remove the comment on the line below public static void main (){ SpringApplication.run(DemoApplication.class, args); Connection conn = BitbucketDataSource().getConnection(); System.out.println("Catalog: "+ conn.getCatalog()); } }

The output generated should look like this:

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