Getting Started with the CData PowerShell Cmdlets for Bitbucket Data

Somya Sharma
Somya Sharma
Technical Marketing Engineer
Complete guide to installing, licensing, and connecting Bitbucket PowerShell Cmdlets.

This guide explains everything you need to get started with the Bitbucket PowerShell Cmdlets. You'll learn how to install the cmdlets, configure your first connection, run queries, and explore next steps for working with Bitbucket data in PowerShell.

Installation & Licensing

System Requirements

CData PowerShell Cmdlets run anywhere PowerShell runs.

Windows

  • Windows 10/11
  • Windows Server 2016+
  • PowerShell 5.1 or PowerShell 7+

macOS & Linux

  • PowerShell 7+
  • No additional system libraries required
  • No architecture-specific installers

Installing the Cmdlets

CData Cmdlets are delivered through the PowerShell Gallery, ensuring a simple and consistent installation process across platforms.

Installation Steps

  1. Open PowerShell in Administrator mode
  2. Run the following command to install the cmdlet module:
    Install-Module BitbucketCmdlets -Repository PSGallery -Force

    This command:

    • Downloads the module from the official PowerShell Gallery
    • Installs it into your PowerShell environment
    • Registers all cmdlets for immediate use

Module Verification

To verify installation:

Get-Module -ListAvailable "*Bitbucket*"

Licensing

The cmdlets support both trial and fully licensed activation.

Trial Licensing

Trial activation is automatic - no key is required. Once installed, you can begin using the cmdlets immediately.

Activating a Full License

If you have purchased a full license, you will receive a product key from the CData Orders Team.

Activate Your License

Run the following command:

Set-ModuleLicense ""

You should see a confirmation message indicating successful activation.

Common Licensing Questions

Can I use my license on multiple machines?

Depending on your subscription tier. Refer to your order confirmation or contact [email protected].

I lost my license key. What do I do?

Email [email protected] with your order number to have it resent.

Can I transfer my license to another machine?

Submit a license transfer request here: https://www.cdata.com/lic/transfer/.

Where can I manage my license?

Visit the CData Customer Portal: https://portal.cdata.com/.

Connection Configuration

Once the module is installed and licensed, you can establish a connection to Bitbucket using the

Connect-Bitbucket cmdlet

After obtaining the needed connection properties, accessing Bitbucket data in PowerShell and preparing for replication consists of four basic steps.

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.

Collecting Bitbucket Data

  1. Install the module:

    Install-Module BitbucketCmdlets
  2. Connect to Bitbucket:

      $bitbucket = Connect-Bitbucket  -Workspace $Workspace -Schema $Schema -InitiateOAuth $InitiateOAuth
      

Querying Bitbucket Data in PowerShell

Once connected, you can query data using standard SQL like commands.

Example Query:

$results = Select-Bitbucket `
    -Connection $conn `
    -Table "Issues" `
    -Columns "Title,ContentRaw" `
    -Where "Title != ''"

Display the results:

$results

You have now successfully accessed Bitbucket data from PowerShell!

Common Issues

Authentication Failed

Solution: Verify username, password, and security token. For OAuth applications, you may need to authorize CData in your application's security settings. Contact [email protected] for authorization assistance.

Network or Proxy Issues

Solution: Confirm firewall settings and outbound access. Most cloud applications use port 443.

Cmdlet Not Found

Solution: Ensure the module is installed-

Get-Module -ListAvailable "*Bitbucket*"

Slow Queries

Solution:

  • Add filters to reduce dataset size
  • Use $Limit or $Top properties where supported
  • Contact [email protected] for optimization help

For additional connection troubleshooting, contact [email protected] with your specific error message.

What's Next?

Now that you have installed, licensed, and configured the PowerShell Cmdlets, here are some scenarios you can use to explore:


Get Support

If you need assistance:

FAQs (PowerShell Cmdlets)

Installation & Licensing

  • Do I need administrator rights to install the cmdlets?
  • Not always.

    • Windows PowerShell 5.1 (Windows): Administrator rights are recommended, especially when installing modules for all users.
    • PowerShell 7+ (Windows, macOS, Linux): You can install cmdlets for the current user without admin rights using:
      Install-Module BitbucketCmdlets -Scope CurrentUser
  • Do I need to download an installer?
  • CData PowerShell Cmdlets are delivered through the PowerShell Gallery. Installation is performed via:

    Install-Module BitbucketCmdlets -Repository PSGallery -Force

Connecting

  • How do I connect to multiple accounts for the same data source?
  • Create separate connection objects-each with different authentication properties:

    $conn1 = Connect-Bitbucket -User User1 -Password Pwd1
    $conn2 = Connect-Bitbucket -User User2 -Password Pwd2
  • Does PowerShell Cmdlets require a DSN?
  • Cmdlets do not use ODBC DSNs. All connection properties are passed directly in

    Connect-Bitbucket

  • Can I connect through a proxy server?
  • Many cmdlets support proxy properties such as:

    • ProxyServer
    • ProxyPort
    • ProxyUser
    • ProxyPassword

    Refer to the data-source-specific Help documentation.

Performance & Troubleshooting

  • Why are my queries slow?
  • Common causes:

    • Missing filters (e.g., no WHERE clause)
    • Pulling large result sets
    • Latency from cloud APIs
    • Not using incremental strategies

    Try:

    • Filtering data (-Where parameter)
    • Selecting only required columns
    • Reviewing API throttling limits for your data source

    Contact [email protected] for query optimization assistance.

  • How do I enable logging?
  • Enable module logging with:

    Set-ModuleLogging -Path "C:\logs\cdata.log" -Verbosity 3
    Upload the log file securely when working with CData Support.

  • What ports need to be open?
  • Most cloud applications (Salesforce, HubSpot, Dynamics, Google APIs, etc.) use: HTTPS (443)

    If your source requires additional ports, check its specific documentation or contact [email protected].

  • Can I use the cmdlets in containers (Docker, Kubernetes)?
  • Install PowerShell 7 in the container and install the module:

    pwsh -Command "Install-Module BitbucketCmdlets -Force"
    Then authenticate normally.

General

  • Where can I find all supported SQL/command operations?
  • Each cmdlet includes a Help documentation set installed locally and available online: https://www.cdata.com/powershell/.

  • How often are PowerShell Cmdlets updated?
  • CData releases major annual updates plus incremental updates throughout the year. Check your customer portal or contact [email protected] for version availability.

  • Where can I find code examples?
  • Every Cmdlet includes examples in the Help documentation, plus online examples for many services: https://www.cdata.com/powershell/. Examples include:

    • Basic queries
    • Insert/update/delete
    • OAuth flows
    • File operations
    • API integration

For questions not covered in this FAQ, [email protected].

Ready to get started?

Download a free trial of the Bitbucket Cmdlets to get started:

 Download Now

Learn more:

Bitbucket Icon Bitbucket Data Cmdlets

An easy-to-use set of PowerShell Cmdlets offering real-time access to Bitbucket. The Cmdlets allow users to easily read, write, update, and delete live data - just like working with SQL server.