Azure DevOps Connector for Power BI In this article you will learn how to integrate Azure DevOps data in Power BI without coding in just a few clicks (live / bi-directional connection to Azure DevOps). Azure DevOps Connector can be used to integrate Azure DevOps data in your App / BI Tools. You can create, read, query, modify, and delete WorkItems, Projects, Teams and more.. Using Azure DevOps Connector you will be able to connect, read, and write data from within Power BI. Follow the steps below to see how we would accomplish that. Download Documentation The driver mentioned above is part of ODBC PowerPack which is a collection of high-performance Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 and many more). Using familiar SQL query language you can make live connections and read/write data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc. If you are new to ODBC and ZappySys ODBC PowerPack then check the following links to get started. ODBC PowerPack - System Requirements and Installation Getting Started - Using ODBC PowerPack ODBC API Driver Help File

Connect to Azure DevOps in other apps Connect to Azure DevOps in SSIS Connect to Azure DevOps in SQL Server Connect to Azure DevOps in SSRS Connect to Azure DevOps in Informatica Connect to Azure DevOps in MS Access Connect to Azure DevOps in MS Excel Connect to Azure DevOps in SSAS Connect to Azure DevOps in C# Connect to Azure DevOps in Python Connect to Azure DevOps in JAVA Connect to Azure DevOps in Tableau Connect to Azure DevOps in SAP Crystal Reports Connect to Azure DevOps in Azure Data Factory (Pipeline) Connect to Azure DevOps in Azure Data Factory (SSIS) Connect to Azure DevOps in Talend Studio Connect to Azure DevOps in UiPath Connect to Azure DevOps in PowerShell Connect to Azure DevOps in ODBC

Video Tutorial - Integrate Azure DevOps data in Power BI

This video covers following and more so watch carefully. After watching this video follow the steps described in this article.

• How to download / install required driver for Azure DevOps integration in Power BI
• How to configure connection for Azure DevOps
• Features about API Driver (Authentication / Query Language / Examples / Driver UI)
• Using Azure DevOps Connection in Power BI

Create ODBC Data Source (DSN) based on ZappySys API Driver

Step-by-step instructions

To get data from Azure DevOps using Power BI we first need to create a DSN (Data Source) which will access data from Azure DevOps. We will later be able to read data using Power BI. Perform these steps:

1. Install ZappySys ODBC PowerPack.

2. Open ODBC Data Sources (x64):
   

3. Create a User Data Source (User DSN) based on ZappySys API Driver

   ZappySys API Driver

   
   You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version.

4. When the Configuration window appears give your data source a name if you haven't done that already, then select "Azure DevOps" from the list of Popular Connectors. If "Azure DevOps" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

   AzureDevopsDSN

   Azure DevOps

   

5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    OAuth [OAuth]

   Steps how to get and use Azure DevOps credentials
   Connecting to your Azure DevOps data requires you to authenticate your REST API access. Follow the instructions below:

   1. Go to https://app.vsaex.visualstudio.com/app/register to register your app.
   2. Fill in your application and company's information as required, and then select the scopes that your application needs. This should typically be Project and team (read and write) and Work items (read and write).
      Your selected scopes when registering your app must match the scopes you enter here on the connector screen. If they don't match, the connector will not be able to work with your Azure DevOps account!

      If you need further information about the scopes used in Azure DevOps, or need to see what to enter into the connector screen to match up with your selected scopes, visit https://learn.microsoft.com/en-us/azure/devops/integrate/get-started/authentication/oauth?view=azure-devops.
   3. Select Create Application and then the Application Settings page will be displayed.
   4. Record the application settings that are displayed for us to use later, especially the App ID and the Client Secret.
   5. Visit https://aex.dev.azure.com. Once you are logged in, record your organization name in the URL that is displayed on the page. For example, if your organization is called "acmeinc", the URL on the page would be acmeinc.visualstudio.com.
   6. Back at the connector screen, enter the App ID that was recorded in step 4 into the Client Id (App ID) field.
   7. Enter the client secret that was recorded in step 4 into the Client Secret field. In order to edit the text in this field, select the ellipses (...) button that appears when the textbox is clicked and edit the client secret with the dialog box that appears.
   8. Enter the organization that was recorded in step 5 into the Organization name or Id for url field.
   9. Click Generate Token. If proper authentication occurs, you will see a notice saying so. You can click Yes to save a backup file of your generated tokens.
   10. Select the project you want to connect to by default from the Default Project (Choose after Generating Token) field.
   11. Select the Security tab.
   12. Enter https://auditservice.dev.azure.com,https://almsearch.dev.azure.com into the Additional Trusted Domains field.
   13. Select the Test Connection button at the bottom of the window to verify proper connectivity with your Azure DevOps account.
   14. If the connection test succeeds, select OK.

   Fill in all required parameters and set optional parameters if needed:

   AzureDevopsDSN

   Azure DevOps

   OAuth [OAuth]

   https://dev.azure.com

   Required Parameters
   Client Id (App ID)	Fill-in the parameter...
   Client Secret	Fill-in the parameter...
   Organization name or Id for url (e.g. mycompany)	Fill-in the parameter...
   Return URL	Fill-in the parameter...
   Scope	Fill-in the parameter...
   API Version	Fill-in the parameter...
   Optional Parameters
   Default Project Name (Choose after Generating Token)
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	429
   RetryCountMax	5
   RetryMultiplyWaitTime	True

   

    Personal Access Token (PAT) [Http]

   Steps how to get and use Azure DevOps credentials
   To connect to Azure DevOps using a Personal Access Token (PAT), you must first create a valid PAT:

   1. Go to your Azure DevOps home page: https://dev.azure.com/{your organization name}.
   2. On the home page, select the User Settings menu dropdown (looks like a person icon with a small gear over it), and then select Personal access tokens.
   3. Select the New Token button.
   4. Enter a name for the new personal access token.
   5. Select the appropriate organization for the new personal access token.
   6. Select the expiration date for the new personal access token.
   7. Select the scopes for this token. (You may be restricted from creating full-scoped PATs. If so, your Azure DevOps administrator in Azure AD has enabled a policy which limits you to a specific custom defined set of scopes.)
   8. Select the Create button.
   9. The new Personal Access Token (PAT) is created and displayed. Copy and save this token, since it is as sensitive as a password.
   10. Visit https://aex.dev.azure.com. Once you are logged in, record your organization name in the URL that is displayed on the page. For example, if your organization is called "acmeinc", the URL on the page would be acmeinc.visualstudio.com.
   11. Back at the connector screen, enter the token you recorded from step 9 into the Personal Access Token (PAT) field.
   12. Enter the organization that was recorded in step 10 into the Organization name or Id for url field.
   13. Enter the name or Id of the project you want to connect to by default in the Default Project (Choose after above fields) field.
   14. Select the Security tab.
   15. Enter https://auditservice.dev.azure.com,https://almsearch.dev.azure.com,https://analytics.dev.azure.com into the Additional Trusted Domains field.
   16. Select the Test Connection button at the bottom of the window to verify proper connectivity with your Azure DevOps account.
   17. If the connection test succeeds, select OK.

   Fill in all required parameters and set optional parameters if needed:

   AzureDevopsDSN

   Azure DevOps

   Personal Access Token (PAT) [Http]

   https://dev.azure.com

   Required Parameters
   Personal Access Token (PAT)	Fill-in the parameter...
   Organization name or Id for url	Fill-in the parameter...
   API Version	Fill-in the parameter...
   Optional Parameters
   AuthScheme	Bearer
   AuthHeader	Authorization
   UserName
   Default Project Name (Choose after Generating Token)
   RetryMode	RetryWhenStatusCodeMatch
   RetryStatusCodeList	429
   RetryCountMax	5
   RetryMultiplyWaitTime	True

   

6. Once the data source has been configured, you can preview data. Select the Preview tab and use settings similar to the following to preview data:
   

7. Click OK to finish creating the data source.

Video instructions

Read Azure DevOps data in Power BI using ODBC

Importing Azure DevOps data into Power BI from table or view

1. Once you open Power BI Desktop click Get Data to get data from ODBC:
   

2. A window opens, and then search for "odbc" to get data from ODBC data source:
   

3. Another window opens and asks to select a Data Source we already created. Choose AzureDevopsDSN and continue:

   AzureDevopsDSN

   

4. Most likely, you will be asked to authenticate to a newly created DSN. Just select Windows authentication option together with Use my current credentials option:

   AzureDevopsDSN

   

5. Finally, you will be asked to select a table or view to get data from. Select one and load the data!
   

6. Finally, finally, use extracted data from Azure DevOps in a Power BI report:
   

Importing Azure DevOps data into Power BI using SQL query

If you wish to import Azure DevOps data from SQL query rather than a table then you can use advanced options during import steps (as below). After selecting DSN you can click on advanced options to see SQL Query editor.

AzureDevopsDSN

                SELECT
                    ProductID,
                    ProductName,
                    SupplierID,
                    CategoryID,
                    QuantityPerUnit,
                    UnitPrice
                FROM Products
                WHERE UnitPrice > 20
            

Using a full ODBC connection string

In the previous steps we used a very short format of ODBC connection string - a DSN. Yet sometimes you don't want a dependency on an ODBC data source (and an extra step). In those times, you can define a full connection string and skip creating an ODBC data source entirely. Let's see below how to accomplish that in the below steps:

1. Open ODBC data source configuration and click Copy settings:
   

   ZappySys API Driver - Azure DevOps

   Azure DevOps Connector can be used to integrate Azure DevOps data in your App / BI Tools. You can create, read, query, modify, and delete WorkItems, Projects, Teams and more.

   AzureDevopsDSN

   
2. The window opens, telling us the connection string was successfully copied to the clipboard:
3. Then just paste the connection string into your script:
   AzureDevopsDSN

   DRIVER={ZappySys API Driver};ServiceUrl=https://dev.azure.com;Provider=Vsts;ScopeSeparator={space};ReturnUrl=[$ReturnUrl$];Scope=[$Scope$];

   
4. You are good to go! The script will execute the same way as using a DSN.

Limitations of using a full connection string

Despite using a full ODBC connection string may be very convenient it comes with a limitation: it's length is limited to 1024 symbols (or sometimes more). It usually happens when API provider generates a very long Refresh Token when OAuth is at play. If you are using such a long ODBC connection string, you may get this error:

"Connection string exceeds maximum allowed length of 1024"

But there is a solution to this by storing the full connection string in a file. Follow the steps below to achieve this:

1. Open your ODBC data source.
2. Click Copy settings button to copy a full connection string (see the previous section on how to accomplish that).
3. Then create a new file, let's say, in C:\temp\odbc-connection-string.txt.
4. Continue by pasting the copied connection string into a newly created file and save it.
5. Finally, the last step! Just construct a shorter ODBC connection string using this format:

   DRIVER={ZappySys API Driver};SettingsFile=C:\temp\odbc-connection-string.txt

6. Our troubles are over! Now you should be able to use this connection string in Power BI with no problems.

Editing query for table in Power BI

There will be a time you need to change the initial query after importing data into Power BI. Don't worry, just right-click on your table and click Edit query menu item:

Using parameters in Power BI (dynamic query)

In the real world, many values of your REST / SOAP API call may be coming from parameters. If that's the case for you can try to edit script manually as below. In below example its calling SQL Query with POST method and passing some parameters. Notice below where paraAPIKey is Power BI Parameter (string type). You can use parameters anywhere in your script just like the normal variable.

To use a parameter in Power BI report, follow these simple steps:

1. Firstly, you need to Edit query of your table (see previous section)

2. Then just create a new parameter by clicking Manage Parameters dropdown, click New Parameter option, and use it in the query:

   						
                               = Odbc.Query("dsn=AzureDevopsDSN",
                                            "SELECT ProductID, ProductName, UnitPrice, UnitsInStock
                                             FROM Products
                                             WHERE UnitPrice > " & Text.From(MyParameter) & "
                                             ORDER BY UnitPrice")
                           
                   

   
   Refer to Power Query M reference for more information on how to use its advanced features in your queries.

Using DirectQuery Option rather than Import

So far we have seen how to Import Azure DevOps data into Power BI but what if you have too much data and you dont want to import but link it. Power BI Offers very useful feature for this scenario. Its called DirectQuery Option. In this section we will explore how to use DirectQuery along with ZappySys Drivers.

Out of the box ZappySys Drivers wont work in ODBC Connection Mode so you have to use SQL Server Connection rather than ODBC if you wish to use Live data using DirectQuery option. See below step by step instructions to enable DirectQuery mode in Power BI for Azure DevOps data.

Basically we will use ZappySys Data Gateway its part of ODBC PowerPack. We will then use Linked Server in SQL Server to Link API Service and then we will issue OPENROWSET queries from Power BI to SQL Server and it will then call Azure DevOps via ZappySys Data Gateway.

1. First read this article carefully, How to query Azure DevOps API in SQL Server.
2. Once linked server is configured we are ready to issue API query in Power BI.
3. Click Get Data in Power BI, select SQL Server Database
4. Enter your server name and any database name
5. Select Mode as DirectQuery
6. Click on Advanced and enter query like below (we are assuming you have created Azure DevOps Data Source in Data Gateway and defined linked server (Change name below).

   SELECT * FROM OPENQUERY([AZURE_DEVOPS_LINKED_SERVER], 'SELECT * FROM Customers')

   SELECT * FROM OPENQUERY([AZURE_DEVOPS_LINKED_SERVER], 'SELECT * FROM Customers')

   

   
   DirectQuery option for Power BI (Read Azure DevOps Data Example using SQL Server Linked Server and ZappySys Data Gateway)

7. Click OK and Load data ... That's it. Now your Azure DevOps API data is linked rather than imported.

Publishing Power BI report to Power BI service

Here are the instructions on how to publish a Power BI report to Power BI service from Power BI Desktop application:

1. First of all, go to Power BI Desktop, open a Power BI report, and click Publish button:

   

2. Then select the Workspace you want to publish report to and hit Select button:

   

3. Finally, if everything went right, you will see a window indicating success:

   

   If you need to periodically refresh Power BI semantic model (dataset) to ensure data accuracy and up-to-dateness, you can accomplish that by using Microsoft On-premises data gateway. Proceed to the next section - Refreshing Power BI semantic model (dataset) using On-premises data gateway - and learn how to do that.

Refreshing Power BI semantic model (dataset) using On-premises data gateway

Power BI allows to refresh semantic models which are based on data sources that reside on-premises. This can be achieved using Microsoft On-premises data gateway. There are two types of On-premises gateways:

• Standard Mode
• Personal Mode

Standard Mode supports Power BI and other Microsoft Data Fabric services. It fits perfectly for Enterprise solutions as it installs as a Windows Service and also supports Direct Query feature.

Personal Mode, on the other hand, can be configured faster, but is designed more for home users (you cannot install it as a Windows Service and it does not support DirectQuery). You will find a detailed comparison in the link above.

We recommend to go with Personal Mode for a quick POC solution, but use Standard Mode in production environment.

Below you will find instructions on how to refresh semantic model using both types of gateways.

Refresh using On-premises data gateway (standard mode)

Here are the instructions on how to refresh a Power BI semantic model using On-premises data gateway (standard mode):

1. Go to Power BI My workspace, hover your mouse cursor on your semantic model and click Settings:

   

2. If you see this view, it means you have to install On-premises data gateway (standard mode):

   

3. Install On-premises data gateway (standard mode) and sign-in:

   
   Use the same email address you use when logging in into Power BI account.

4. Register a new gateway (or migrate an existing one):

   

5. If you are creating a new gateway, name your gateway, enter a Recovery key, and click Configure button:

   

6. Now, let's get back to your semantic model settings in Power BI portal. Refresh the page and you should see your newly created gateway. Click arrow icon and then click on Add to gateway link:

   ODBC{"connectionstring":"dsn=AzureDevopsDSN"}

   

7. Once you do that, you will create a new gateway connection. Give it a name, set Authentication method, Privacy level, and click Create button:

   dsn=AzureDevopsDSN

   
   In this example, we used the least restrictive Privacy level.

   If your connection uses a full connection string you may hit a length limitation when entering it into the field. To create the connection, you will need to shorten it manually. Check the section about the limitation of a full connection string on how to accomplish it.

   On-premises data gateway (personal mode) does not have this limitation.

8. Proceed by choosing the newly created connection:

   ODBC{"connectionstring":"dsn=AzureDevopsDSN"}

   

9. Finally, you are at the final step where you can refresh the semantic model:

   

Refresh using On-premises data gateway (personal mode)

Here are the instructions on how to refresh a Power BI semantic model using On-premises data gateway (personal mode):

1. Go to Power BI My workspace, hover your mouse cursor on your semantic model and click Settings:

   

2. If you see this view, it means you have to install On-premises data gateway (personal mode):

   

3. Install On-premises data gateway (personal mode) and sign-in:

   
   Use the same email address you use when logging in into Power BI account.

4. Again, go to your semantic model Settings, expand Data source credentials, click Edit credentials, select Authentication method together with Privacy level, and then click Sign in button:

   dsn=AzureDevopsDSN

   

5. Finally, you are ready to refresh your semantic model:

   

Advanced topics

Create Custom Stored Procedure in ZappySys Driver

You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Steps to create Custom Stored Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

1. Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
   

2. Enter the desired Procedure name and click on OK:
   

3. Select the created Stored Procedure and write the your desired stored procedure and Save it and it will create the custom stored procedure in the ZappySys Driver:
   Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here
   

   CREATE PROCEDURE [usp_get_orders]
       @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
    AS
       SELECT * FROM Orders where OrderDate >= '<@fromdate>';
   

   
   

4. That's it now go to Preview Tab and Execute your Stored Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01:
   

   Exec usp_get_orders '1996-01-01';

   
   

5. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
   As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
   

   SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC usp_get_orders @fromdate=''1996-07-30''')

   
   

6. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
   

Create Custom Virtual Table in ZappySys Driver

ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

If you're dealing with Microsoft Access and need to import data from an SQL query, it's important to note that Access doesn't allow direct import of SQL queries. Instead, you can create custom objects (Virtual Tables) to handle the import process.

Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.

1. Go to Custom Objects Tab and Click on Add button and Select Add Table:
   

2. Enter the desired Table name and click on OK:
   

3. And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.

4. Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
   Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here
   

   SELECT
     "ShipCountry",
     "OrderID",
     "CustomerID",
     "EmployeeID",
     "OrderDate",
     "RequiredDate",
     "ShippedDate",
     "ShipVia",
     "Freight",
     "ShipName",
     "ShipAddress",
     "ShipCity",
     "ShipRegion",
     "ShipPostalCode"
   FROM "Orders"
   Where "ShipCountry"='USA'

   
   

5. That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only:
   

   SELECT * FROM "vt__usa_orders_only"

   
   

6. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
   As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
   

   SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC [usp_get_orders] ''1996-01-01''')

   
   

7. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
   

Actions supported by Azure DevOps Connector

Azure DevOps Connector Examples for Power BI Connection

This page offers a collection of SQL examples designed for seamless integration with the ZappySys API ODBC Driver under ODBC Data Source (36/64) or ZappySys Data Gateway, enhancing your ability to connect and interact with Prebuilt Connectors effectively.

SELECT * FROM WorkItems

SELECT * FROM WorkItems WITH (Project='ProductTesting')

SELECT * FROM WorkItems WHERE Id=1001

SELECT * FROM get_workitems_by_ids WITH (ids='6444,5578,9467')

SELECT * FROM search_workitems_by_text WITH (SearchText='Text that I want to search for')

SELECT * FROM WorkItems WHERE Id='8563' WITH (ContineOn404Error='False')

SELECT * FROM WorkItems WITH (Query='SELECT * FROM WorkItems 
WHERE [System.Id] > 2000 AND [System.Id] < 7050 
	AND [System.TeamProject]=''ProductTesting''
	AND [System.ChangedDate] < @Today
	AND [System.CreatedDate] > @StartOfYear
	AND [System.WorkItemType]=''Task'' 
	AND [System.State]=''Resolved'' 
	AND [Microsoft.VSTS.Common.Priority] >= 1
	ORDER BY [System.ChangedDate] DESC
	')

SELECT * FROM WorkItems WITH (Project='PosProject', Query='SELECT * FROM WorkItems WHERE [System.Id] = 2819')

SELECT * FROM WorkItems WITH (Query='SELECT * FROM WorkItems WHERE [System.WorkItemType] = ''Task''')

INSERT INTO WorkItems (WorkItemType, Title, [CustomFieldText], [CustomFieldDate], [CustomFieldNumber])
VALUES ('task', 'Fix Issues in System', 'My Custom Text', '2021-01-01T23:59:59.123', 1000)

INSERT INTO WorkItems (WorkItemType, Title, [CustomFieldText], [CustomFieldDate], [CustomFieldNumber])
VALUES ('task', 'Fix Issues in System', 'My Custom Text', '2021-01-01T23:59:59.123', 1000)
WITH(Project='MyProject')

INSERT INTO WorkItems  (   
      [WorkItemType]   
    , [Title] 
	, [Description] 
	, [Tags]
	, [AreaPath]  
	, [IterationPath] 
	, [AssignedTo] 
	, [Priority]
    , [Triage] 	
  --, [StackRank]  
	, [Blocked]  
	, [TaskType] 
	, [RequiresReview]
	, [RequiresTest] 
	, [IntegrationBuild] 
	, [FoundIn] 
	, [OriginalEstimate] 
	, [RemainingWork] 
	, [CompletedWork] 
	, [Size] 
	, [Effort] 
	, [TargetDate] 
	, [StartDate] 
	, [FinishDate] 
	, [DueDate] 
	, [StoryPoints] 
  --, [Discipline] 
	, [SystemInfo] 
	, [Steps] 
	, [ReproSteps] 
	--, [CustomFieldText]  --custom field prefix with CustomYOUR_FIELD_NAME_WITHOUT_SPACE_OR_DASH_OR_DOT
	--, [CustomFieldDate] 
	--, [CustomFieldNumber] 
	--, [CustomFieldDecimal] 
	--, [CustomFieldPickListString] 
	--, [CustomFieldPickListNum] 
)
VALUES (
      'Bug' -- Task, User Story -- WorkItemType
    , 'My Task Title - Created on <<FUN_NOW>>'  --Title
    , 'Some Description - Created on <<FUN_NOW>>' --Description
    , 'odata; api' --Tags
    , 'ProductTesting\SSISPowerPack' --AreaPath
    , 'ProductTesting\2021.6' --IterationPath
    , 'build@mycompany.com' --AssignedTo
    , 1 --Priority
    , 'Pending' --Triage
  --, ??? --[StackRank]
	, 'No' --Blocked
	, 'Planned' --TaskType
	, 'No' --RequiresReview
	, 'No' --RequiresTest
	, '101.1.2.3' --IntegrationBuild
	, '100.1.2.3' --FoundIn
	, 9999.111 --OriginalEstimate
	, 9999.222 --RemainingWork
	, 9999.333 --CompletedWork
	, 9999.444 --Size
	, 9999.555 --Effort
	, '2021-01-31' --TargetDate
	, '2022-01-31' --StartDate
	, '2023-01-31' --FinishDate
	, '2024-01-31' --DueDate
	, 100.5 --StoryPoints
  --, 'Some Discipline' --Discipline
	, 'Windows 10' --SystemInfo
	, 'Here are steps' --Steps
	, 'Here are steps to reproduce' --ReproSteps
	--, 'abcd'  --CustomFieldText
	--, '2021-01-31' --CustomFieldDate
	--, 9999  --CustomFieldNumber 
	--, 9999.123 --CustomFieldDecimal
	--, 'BBB' --CustomFieldPickListString
	--, '2' --CustomFieldPickListNum
)
WITH(Project='ProductTesting')

UPDATE WorkItems SET
Title = 'Renamed Work Item Title',
CustomMyField = 'New Custom Text'
WHERE Id = 7455

UPDATE WorkItems
SET   [Title] = 'Update-QA Task <<FUN_NOW>>'
	, [Description] = 'Updated desc <<FUN_NOW>>'
  --, [WorkItemType]='Bug' -- Task
	, [State] = 'Active'
	, [Tags] = 'odata; api'
	, [Revision] = 1
	, [AreaPath] = 'ProductTesting\SSISPowerPack'
	, [TeamProject] = 'ProductTesting'
	, [IterationPath] = 'ProductTesting\2021.6'
	, [Reason] = 'Reactivated'
	, [AssignedTo] = 'build@mycompany.com'
	, [Priority] = 1
  --, [Triage] = 'Pending'	
  --, [StackRank] = ???
	, [Blocked] = 'No'
	, [TaskType] = 'Planned'
	, [RequiresReview] = 'No'
	, [RequiresTest] = 'No'
	, [ActivatedDate] = '2021-01-31'
  --, [ResolvedReason] = 'Complete and Requires Review/Test'
	, [IntegrationBuild] = '101.1.2.3'
	, [FoundIn] = '100.1.2.3'
	, [OriginalEstimate] = 9999.123
	, [RemainingWork] = 9999.123
	, [CompletedWork] = 9999.123
	, [Size] = 9999.123
	, [Effort] = 9999.123
	, [TargetDate] = '2021-01-31'
	, [StartDate] = '2021-01-31'
	, [FinishDate] = '2021-01-31'
	, [DueDate] = '2021-01-31'
	, [StoryPoints] = 100.5
--	, [Discipline] = 'abcd'
	, [SystemInfo] = 'abcd'
	, [Steps] = 'abcd'
	, [ReproSteps] = 'abcd'
--	, [CustomFieldText] = 'abcd' 
--	, [CustomFieldDate] = '2021-01-31' 
--	, [CustomFieldNumber] = 9999  
--	, [CustomFieldDecimal] = 9999.123 
--	, [CustomFieldPickListString] = 'BBB' 
--	, [CustomFieldPickListNum] = '2' 
WHERE [Id] = 6455

UPDATE WorkItems
SET   Tags = 'newtag1; newtag2'
WHERE Id = 6455
WITH(
	   Project='ProductTesting'
	  ,Operation='add'
)

DELETE FROM WorkItems WHERE Id = 7455

DELETE FROM WorkItems
Where 1=1 
WITH(Query='SELECT * FROM WorkItems Where [System.TeamProject]=''MyProject'' AND ([System.Id]=6469 OR [System.Id]=6468) ')

UPDATE WorkItems
Set Title='New Title - Updated on <<FUN_NOW>>'
Where 1=1 
WITH(Query='SELECT * FROM WorkItems Where [System.TeamProject]=''MyProject'' AND ([System.Id]=6469 OR [System.Id]=6468) ')

SELECT * FROM WorkItemComments

SELECT * FROM WorkItemComments 
WHERE WorkItemId=6455

SELECT * FROM WorkItemComments 
WHERE WorkItemId=6455 and Id=5283490

SELECT 
	  Id
	, Title
	, Description
	, CreatedDate
	, Url
FROM WorkItems 
--WHERE Id=5283490 -- get just one comment for specific WorkItem Id
WITH(Query='SELECT * FROM WorkItems WHERE [System.TeamProject]=''ProductTesting'' and [System.Id]=6455 ORDER BY [System.Id] DESC')

#DirectSQL SELECT * FROM WorkItems WHERE [System.TeamProject]=''ProductTesting'' and [System.Id]=6455 ORDER BY [System.Id] DESC')

SELECT 
	  IterationPath as Sprint
	, AssignedToUniqueName as AssignedTo
	, SUM(OriginalEstimate) as OriginalHours_Total
	, SUM(RemainingWork) as RemainingWork_Total
	, SUM(CompletedWork) as CompletedHours_Total
FROM WorkItems
GROUP BY IterationPath,AssignedToUniqueName
WITH(
	  Project='ProductTesting'
	  
	  --//On Preview UI Change [Max Rows] to use more sample rows - else it will use only 100 rows
	  ,Query='SELECT * FROM WorkItems WHERE [System.IterationPath] UNDER ''ProductTesting\Sprint 1'' and State IN(''Resolved'', ''Closed'')'
	  
	  --Use below to query all sprints for this Product
	  --,Query='SELECT * FROM WorkItems WHERE [System.IterationPath] UNDER ''ProductTesting\'' and State IN(''Resolved'', ''Closed'')'
)

SELECT * INTO #t1 FROM WorkItems WITH(Project='ProductTesting', Query='SELECT * FROM WorkItems WHERE [System.Id]>=1 and [System.Id]<20000');
SELECT * INTO #t2 FROM WorkItems WITH(Project='ProductTesting', Query='SELECT * FROM WorkItems WHERE [System.Id]>=20000 and [System.Id]<40000');
SELECT * INTO #t3 FROM WorkItems WITH(Project='ProductTesting', Query='SELECT * FROM WorkItems WHERE [System.Id]>=40000 and [System.Id]<60000');
--//....
--//add more temp tables above and update UNION ALL too

SELECT * FROM #t1 
UNION ALL 
SELECT * FROM #t2
UNION ALL 
SELECT * FROM #t3
;

SELECT 
	  Id
	, WorkItemId
	, Text
	, RenderedText
	, Format
	, CreatedDate
	, CreatedByUniqueName
	, CreatedById
	, CreatedByDisplayName
	, ModifiedDate
	, ModifiedByUniqueName
	, ModifiedById
	, ModifiedByDisplayName
	, Url
FROM WorkItemComments 
--WHERE Id=5283490 -- get just one comment for specific WorkItem Id
WITH(Query='SELECT [System.Id] FROM WorkItems WHERE [System.TeamProject]=''ProductTesting'' and [System.Id]=6455 ORDER BY [System.Id] DESC')

INSERT INTO WorkItemComments(WorkItemId, Text)
VALUES(6455, 'Adding <b>html comment</b> - created on <<FUN_NOW>>')
WITH(Project='ProductTesting')

UPDATE WorkItemComments
SET Text='Updating <b>html comment</b> - updated on <<FUN_NOW>>'
Where WorkItemId=6455 and Id=5284411
WITH(Project='ProductTesting')

DELETE FROM WorkItemComments WHERE WorkItemId=6455 and Id=5284411

SELECT *
FROM generic_request
WITH(
	  Url='YOUR_ORGANIZATION/YOUR_PROJECT/_apis/wit/attachments?api-version=7.0',
	  RequestMethod='POST',
	  RequestContentTypeCode='ApplicationOctetStream', --//Binary upload
	  --Headers='Content-Type: application/octet-stream', --//same as above
	  Body='@c:\temp\screeenshot-1.png',
	  IsMultiPart=1,
	  Meta='id:string(100);url:string(500)' --response columns you like to display
)

SELECT *
FROM generic_request
WITH(
	  Url='YOUR_ORGANIZATION/YOUR_PROJECT/_apis/wit/workitems/WORK_ITEM_NUMBER?api-version=7.0',
	  RequestMethod='PATCH',
	  Headers='Content-Type: application/json-patch+json',
	  Meta='id:int; fields.System.Title:string; fields.System.State:string; fields.System.WorkItemType:string; relations:string(4000)',
	  Body='
[
  {
    "op": "add",
    "path": "/fields/System.History",
    "value": "Adding the necessary spec"
  },
  {
    "op": "add",
    "path": "/relations/-",
    "value": {
      "rel": "AttachedFile",
      "url": "https://dev.azure.com/YOUR_ORGANIZATION/YOUR_PROJECT/_apis/wit/attachments/ATTACHMENT_ID?fileName=Screenshot.png",
      "attributes": {
        "comment": "Error screenshot"
      }
    }
  }
]
'
)

SELECT * FROM Projects

SELECT Id, Name, Description, Url, State, Revision, Visibility, LastUpdateTime FROM Projects

SELECT * FROM Projects WHERE Id='a80fb082-f7c4-4345-911d-1c05ad1b1fc9'

INSERT INTO Projects (Name, Abbreviation, Description, SourceControlType, Visibility)
VALUES
('My New Project', 'MNP',
'The system we use for implementing point-of-service walk-in payment systems.',
'Git', 'private')

UPDATE Projects SET Description = 'The system we use for implementing point-of-service walk-in payment systems and phone payments.'
WHERE Id='1be9ccef-45d7-4574-af67-7dc6c0699b6a'

DELETE FROM Projects WHERE Id='85kd1641-5555-49b1-9c5e-22c22a61d4c4'

SELECT * FROM Teams

SELECT * FROM Teams WITH (Project='841e1641-325d-49b1-9c5e-22c11a61d4c4')

SELECT Id, Name, ProjectId, ProjectName, Url, Description, IdentityUrl FROM Teams

SELECT * FROM Teams WHERE Id='a0aa750f-1550-44af-a056-223696077df6'

INSERT INTO Teams (Name, Description) VALUES
('PosProject Team', 'This is the team who will be working on the Point of Service project.')

INSERT INTO Teams (Name, Description) VALUES
('PosProject Team', 'This is the team who will be working on the Point of Service project.')
WITH (ProjectId='85kd1641-5555-49b1-9c5e-22c22a61d4c4')

UPDATE Teams SET	Name = 'PointOfServiceProject Team' WHERE Id='8djr4d07-5555-5555-9552-0b6d7je99w7f'

DELETE FROM Teams WHERE Id='8djr4d07-5555-5555-9552-0b6d7je99w7f'

SELECT * FROM AuditRecords

SELECT Id, CorrelationId, ActivityId, ActorCUID, ActorUserId, AuthenticationMechanism,
Timestamp, ScopeType, ScopeDisplayName, ScopeId, IpAddress, UserAgent, ActionId, ProjectId, ProjectName,
ProcessTemplate, ProjectVisibility, StartTime, EndTime, BatchSize, EventSummary, Details, Area, Category,
CategoryDisplayName, ActorDisplayName, ActorImageUrl FROM AuditRecords

SELECT * FROM get_queries
WITH(
	Project='Odbc'
)

SELECT * FROM get_workitems_by_query_id
WITH(
	  Query='e5150e18-1323-485d-8937-6991bf09ab1c' --see get_queries endpoint
	, Project='Odbc'
)

Conclusion

In this article we discussed how to connect to Azure DevOps in Power BI and integrate data without any coding. Click here to Download Azure DevOps Connector for Power BI and try yourself see how easy it is. If you still have any question(s) then ask here or simply click on live chat icon below and ask our expert (see bottom-right corner of this page).

Download Azure DevOps Connector for Power BI Documentation 

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OData

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JSON File

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JDBC-ODBC Bridge

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CSV

Amazon S3 JSON File

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Amazon S3 CSV File

Azure Blob JSON File

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FTP/SFTP JSON File

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FTP/SFTP CSV File

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