Use the CData JDBC Driver for Bitbucket in MicroStrategy



Connect to Bitbucket data in MicroStrategy Developer using the CData JDBC Driver for Bitbucket.

MicroStrategy is an analytics and mobility platform that enables data-driven innovation. When you pair MicroStrategy with the CData JDBC Driver for Bitbucket, you gain database-like access to live Bitbucket data from MicroStrategy, expanding your reporting and analytics capabilities. In this article, we walk through creating a database instance for Bitbucket in MicroStrategy Developer and create a Warehouse Catalog for the Bitbucket data.

The CData JDBC Driver offers unmatched performance for interacting with live Bitbucket data in MicroStrategy due to optimized data processing built into the driver. When you issue complex SQL queries from MicroStrategy 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 (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Bitbucket data using native MicroStrategy data types.

Connect to Bitbucket in MicroStrategy Developer

You can connect to Bitbucket in MicroStrategy Developer by adding a database instance based on the CData JDBC Driver for Bitbucket.* Before you begin, you will need to install the JDBC Driver for Bitbucket on the machine hosting the MicroStrategy Intelligence Server that your instance of MicroStrategy Developer is connected to.

  1. Open MicroStrategy Developer and select a Project Source.
  2. Navigate to Administration -> Configuration Managers -> Database Instances and right-click to add a new instance.
  3. Name the instance, select Generic DBMS as the database connection type, and create a new database connection.
  4. In the database connection wizard, name the connection and create a new Database Login name, setting the user and password for Bitbucket.
  5. On the Advanced tab for the connection wizard, set the additional connection string parameters as follows.
    • Add the JDBC keyword to the connection string.
    • Set MSTR_JDBC_JAR_FOLDER to the path of the directory containing the JAR file for the JDBC driver. (C:\Program Files\CData JDBC Driver for Bitbucket\lib\ on Windows.)
    • Set DRIVER to cdata.jdbc.bitbucket.BitbucketDriver, the driver class.
    • Set URL to the JDBC URL for the Bitbucket driver, which contains the necessary connection properties.

      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.

      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

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

      When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

    Typical additional connection string properties follow:

    JDBC;MSTR_JDBC_JAR_FOLDER=PATH\TO\JAR\;DRIVER=cdata.jdbc.bitbucket.BitbucketDriver;URL={jdbc:bitbucket:Workspace=myworkspaceslug;Schema=Information};
  6. Ensure that you have not selected an ODBC data source (this will trigger MicroStrategy to use the additional connection string parameters to build the database instance) and click OK.
  7. Click OK to close the database instance wizard.
  8. In the Project Source, right-click the project and open the Project configuration.
  9. Navigate to Database Instances, select the newly created database instance, and click OK.
  10. Close MicroStrategy Developer and restart the connected MicroStrategy Intelligence Server to complete the database instance creation.

With the database instance configured, you will now be able to connect to Bitbucket data from the Warehouse Catalog and Data Import.

Connect to Bitbucket Data from the Warehouse Catalog

Once you have created a database instance based on the JDBC Driver for Bitbucket, you can connect to data from the Warehouse Catalog.

  1. Select your project and click Schema -> Warehouse Catalog.
  2. In the Read Settings for the Catalog, click Settings and set the queries to retrieve the schema:
    • To retrieve the list of tables, use the following query: SELECT * FROM SYS_TABLES
    • To retrieve the list of columns for selected tables, use the following query: SELECT DISTINCT CatalogName NAME_SPACE, TableName TAB_NAME, ColumnName COL_NAME, DataTypeName DATA_TYPE, Length DATA_LEN, NumericPrecision DATA_PREC, NumericScale DATA_SCALE FROM SYS_TABLECOLUMNS WHERE TableName IN (#TABLE_LIST#) ORDER BY 1,2,3
  3. Select tables to be used in the project.

Using the CData JDBC Driver for Bitbucket in MicroStrategy, you can easily create robust visualizations and reports on Bitbucket data. Read our other articles on connecting to Bitbucket in MictroStrategy Web and connecting to Bitbucket in MicroStrategy Desktop for more information.


Note: Connecting using a JDBC Driver requires a 3- or 4-Tier Architecture.

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