Power BI Connector Examples

The ZappySys API Driver is a user-friendly interface designed to facilitate the seamless integration of various applications with the Power BI API. With its intuitive design and robust functionality, the ZappySys API Driver simplifies the process of configuring specific API endpoints to efficiently read or write data from Power BI.

On this page you will find some SQL examples which can be used for API ODBC Driver or Data Gateway API Connector.

Workspaces - Get Workspaces [Read more...]

SELECT * 
FROM Workspaces

Workspaces - Get a Workspace [Read more...]

SELECT * 
FROM Workspaces
WHERE Id='aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee'

Datasets - Get Datasets [Read more...]

SELECT * 
FROM Datasets

Datasets - Get Datasets in a specified Workspace [Read more...]

SELECT * 
FROM Datasets
WITH (WorkspaceId = 'aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee')

Datasets - Get a Dataset [Read more...]

SELECT * 
FROM Datasets
WHERE Id='aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee'

Datasets - Create a Push Dataset [Read more...]

SELECT * 
FROM create_push_dataset
WITH (Definition='{
  "name": "My Push Dataset Name",
  "defaultMode": "Push",
  "tables": [
	{
      "name": "Products",
      "columns": [
        {
          "name": "Id",
          "dataType": "Int64"
        },
        {
          "name": "Name",
          "dataType": "string"
        },
        {
          "name": "Category",
          "dataType": "string"
        },
        {
          "name": "IsComplete",
          "dataType": "bool"
        },
        {
          "name": "ManufacturedOn",
          "dataType": "DateTime"
        },
        {
          "name": "Sales",
          "dataType": "Int64",
          "formatString": "Currency"
        },        
        {
          "name": "Price",
          "dataType": "Double",
          "formatString": "Currency"
        }
      ]
    }
  ]
}'
)

-- More info on creating a Push Dataset:
-- https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-post-dataset

Datasets - Create a Push Dataset with 2 Tables [Read more...]

SELECT * 
FROM create_push_dataset
WITH (Definition='{
  "name": "My Push Dataset Name",
  "defaultMode": "Push",
  "tables": [
     {
      "name": "Customers",
      "columns": [
        {
          "name": "Id",
          "dataType": "Int64"
        },
        {
          "name": "Name",
          "dataType": "string"
        }
      ]
    },
	{
      "name": "Products",
      "columns": [
        {
          "name": "Id",
          "dataType": "Int64"
        },
        {
          "name": "Name",
          "dataType": "string"
        },
        {
          "name": "Category",
          "dataType": "string"
        },
        {
          "name": "IsComplete",
          "dataType": "bool"
        },
        {
          "name": "ManufacturedOn",
          "dataType": "DateTime"
        },
        {
          "name": "Sales",
          "dataType": "Int64",
          "formatString": "Currency"
        },        
        {
          "name": "Price",
          "dataType": "Double",
          "formatString": "Currency"
        }
      ]
    }
  ]
}'
)

-- More info on creating a Push Dataset:
-- https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-post-dataset

Datasets - Delete a Dataset [Read more...]

SELECT *
FROM delete_dataset
WHERE Id = 'aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee'

-- More info on deleting a Dataset:
-- https://learn.microsoft.com/en-us/rest/api/power-bi/datasets/delete-dataset

Datasets - Refresh a Dataset [Read more...]

SELECT *
FROM refresh_dataset
WHERE Id = 'aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee'
                
-- More info on refreshing a Dataset:
-- https://learn.microsoft.com/en-us/rest/api/power-bi/datasets/refresh-dataset

Tables - Get Tables [Read more...]

SELECT * 
FROM get_tables

Tables - Get Tables in a specified Dataset [Read more...]

SELECT * 
FROM get_tables
WITH (DatasetId='aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee')

Tables - Get Table Columns [Read more...]

SELECT * 
FROM get_table_columns
WITH (TableName='MyTable')

Tables - Get Table Columns in a specified Dataset [Read more...]

SELECT * 
FROM get_table_columns
WITH (TableName='MyTable',
      DatasetId='aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee')

Tables - Get Table Rows (Use default Workspace and Dataset) [Read more...]

SELECT * 
FROM MyTable

Tables - Get Table Rows for a specified Workspace and Dataset [Read more...]

SELECT *
FROM get_table_rows
WITH(
	  "TableName"='Products'
	, "DatasetId"='11b6c287-51d3-4061-bed8-811a4e5f6ce9'
	, "WorkspaceId"='848353e2-f3b1-4fb4-89d7-44e84b8bdf9f'
)

Tables - Insert / Update / Delete Rows for a specified Workspace and Dataset [Read more...]

INSERT INTO Products 
SOURCE(
  'MSSQL',
  'Data Source=localhost\developer;Initial Catalog=Northwind;Integrated Security=true',
  '  SELECT T.* FROM (       SELECT  TOP 50                
      ProductName AS [Name]              
      ,C.CategoryName AS Category              
      ,Discontinued AS IsComplete              
      ,GETDATE() AS ManufacturedOn              
      ,CAST(UnitPrice * ReOrderLevel * 100 AS BIGINT) AS Sales              
      ,CAST(UnitPrice AS DECIMAL) AS Price       
      FROM Northwind.dbo.Products AS P       
      JOIN Northwind.dbo.Categories C ON P.CategoryId = P.CategoryId       
      ) AS T              
      CROSS JOIN GENERATE_SERIES(1, 2000)             
      -- COMMENT:  50 x 2000 = 100 000 rows  
   '
) 
CONNECTION(
  Parameters = '[{ Name: "TokenUrl",Value:"https://login.microsoftonline.com/organizations/oauth2/v2.0/token"}                         
  ,{ Name: "DatasetId",Value: "6a0e04da-a6e4-4533-abe4-30fcabd0e2a5"},                      
  { Name: "WorkspaceId",Value: "848353e2-f3b1-4fb4-89d7-44e84b8bdf9f"}]'
)

Tables - Using an INSERT statement [Read more...]

INSERT INTO MyTable(MyColumn1, MyColumn2, MyColumn3, MyColumn4, MyColumn5)
VALUES (1001, 'Glass', true, '2001-02-03', 195.95)

Tables - Using an INSERT statement in a specified Dataset [Read more...]

INSERT INTO MyTable(MyColumn1, MyColumn2, MyColumn3, MyColumn4, MyColumn5)
VALUES (1001, 'Glass', true, '2001-02-03', 195.95)
WITH (DatasetId='aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee')

Tables - Get Table rows [Read more...]

SELECT * 
FROM get_table_rows 
WITH (TableName='MyTable')

Tables - Get Table rows in a specified Dataset [Read more...]

SELECT * 
FROM get_table_rows 
WITH (TableName='MyTable', DatasetId='aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee')

Tables - Truncate a Push Dataset Table [Read more...]

SELECT *
FROM truncate_push_dataset_table
WITH (TableName='MyTable')
                
-- More info on truncating a Push Dataset Table:
-- https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-delete-rows

Tables - Truncate a Push Dataset Table in a specified Dataset [Read more...]

SELECT *
FROM truncate_push_dataset_table
WITH (DatasetId='aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee', TableName='MyTable')
                
-- More info on truncating a Push Dataset Table:
-- https://learn.microsoft.com/en-us/rest/api/power-bi/push-datasets/datasets-delete-rows

Execute a DAX query - Evaluating a Table [Read more...]

SELECT * 
FROM execute_dax_query
WITH (Query='EVALUATE ''MyTable''')

-- More info on 'EVALUATE' statement and DAX queries:
-- https://dax.guide/st/evaluate/
-- https://learn.microsoft.com/en-us/dax/dax-queries
-- https://learn.microsoft.com/en-us/dax/filter-functions-dax
-- https://learn.microsoft.com/en-us/dax/dax-syntax-reference

Execute a DAX query - Using FILTER function with simple expression [Read more...]

SELECT * 
FROM execute_dax_query 
WITH (Query='EVALUATE FILTER(''MyTable'', [MyColumn] = "MyValue"')

-- More info on 'EVALUATE' statement and DAX queries:
-- https://dax.guide/st/evaluate/
-- https://dax.guide/filter/
-- https://dax.guide/operators/
-- https://learn.microsoft.com/en-us/dax/dax-queries
-- https://learn.microsoft.com/en-us/dax/dax-syntax-reference

Execute a DAX query - Using FILTER function with AND and OR operators [Read more...]

SELECT * 
FROM execute_dax_query 
WITH (Query='EVALUATE FILTER(''MyTable'', [MyColumn1] = "MyValue" && ([MyColumn2] > 0 || [MyColumn3] <= 1000))')

-- More info on 'EVALUATE' statement and DAX queries:
-- https://dax.guide/operators/
-- https://learn.microsoft.com/en-us/dax/dax-queries
-- https://learn.microsoft.com/en-us/dax/dax-syntax-reference

Execute a DAX query - Selecting specific columns from a Table [Read more...]

SELECT * 
FROM execute_dax_query
WITH (Query='EVALUATE 
             SELECTCOLUMNS (
                ''MyTable'',
                "MyColumn1 alias", [MyColumn1],
                "MyColumn2 alias", [MyColumn2]
             )
             ORDER BY "MyColumn2 alias"'
    )
    
-- More info on 'EVALUATE' statement and DAX queries:
-- https://dax.guide/st/evaluate/
-- https://dax.guide/selectcolumns/   
-- https://learn.microsoft.com/en-us/dax/dax-queries
-- https://learn.microsoft.com/en-us/dax/dax-syntax-reference

Execute a DAX query - Selecting and sorting TOP N rows [Read more...]

SELECT * 
FROM execute_dax_query
WITH (Query='EVALUATE 
             TOPN(1000, ''MyTable'', [MyColumnOrExpression], ASC)')

-- More info on 'EVALUATE' statement and DAX queries:
-- https://dax.guide/st/evaluate/
-- https://dax.guide/topn/
-- https://learn.microsoft.com/en-us/dax/dax-queries
-- https://learn.microsoft.com/en-us/dax/dax-syntax-reference

Execute a DAX query - A complicated query [Read more...]

SELECT * 
FROM execute_dax_query
WITH (Query='
DEFINE
    VAR MinimumAmount = 2000000
    VAR MaximumAmount = 8000000
EVALUATE
FILTER (
    ADDCOLUMNS (
        SUMMARIZE (Sales, Products[Category]),
        "CategoryAmount", [Sales Amount]
    ),
    AND (
        [CategoryAmount] <= MinimumAmount,
        [CategoryAmount] >= MaximumAmount
    )
)
ORDER BY [CategoryAmount]"')

-- More info on 'EVALUATE' statement and DAX queries:
-- https://dax.guide/st/evaluate/
-- https://dax.guide/addcolumns/
-- https://dax.guide/summarize/
-- https://dax.guide/st/order-by/
-- https://learn.microsoft.com/en-us/dax/dax-queries
-- https://learn.microsoft.com/en-us/dax/filter-functions-dax
-- https://learn.microsoft.com/en-us/dax/dax-syntax-reference

Generics - A simple generic API request [Read more...]

SELECT * 
FROM generic_request
WITH (Url='/groups',
Filter='$.value[*]')


/*
EXPLANATION:
- This configuration calls Power BI REST API "Get Groups" endpoint and gets the Workspaces back.
- This is achieved by "/groups" value in the "Url" parameter.
- The SQL query parameter "Filter" uses JsonPath "$.value[*]".
- This gets JSON objects from "value" array and transforms them into SQL rows.

MORE INFORMATION:
- About "Get Groups" REST API endpoint:
  https://learn.microsoft.com/en-us/rest/api/power-bi/groups/get-groups
- About JsonPath used in "Filter" parameter:
  https://zappysys.com/blog/jsonpath-examples-expression-cheetsheet  
*/

Generics - A generic API request with URL parameter [Read more...]

SELECT * 
FROM generic_request
WITH (Url='/groups?$filter=contains(name,''MyWorkspace'') or name eq ''My Blue Workspace''',
Filter='$.value[*]')


/*
EXPLANATION:
- This configuration calls Power BI REST API "Get Groups" endpoint and gets the Workspaces back.
- This is achieved by "/groups" value in the "Url" parameter.
- Workspaces are filtered on the Power BI REST API side by using the "$filter" URL parameter.
- Only those Workspaces are returned that:
  > contain a string value "MyWorkspace" or
  > if the Workspace name is "My Blue Workspace" (each single quote is escaped with two single quotes).
- The SQL query parameter "Filter" uses JsonPath "$.value[*]".
- This gets JSON objects from "value" array and transforms them into SQL rows.

MORE INFORMATION:
- About "Get Groups" REST API endpoint:
  https://learn.microsoft.com/en-us/rest/api/power-bi/groups/get-groups
- About JsonPath used in "Filter" parameter:
  https://zappysys.com/blog/jsonpath-examples-expression-cheetsheet  
*/

Getting Started with Examples

ZappySys API Driver is a powerful software solution designed to facilitate the extraction and integration of data from a wide range of sources through APIs. Its intuitive design and extensive feature set make it an essential asset for any organization dealing with complex data integration tasks.

To get started with examples using ZappySys API Driver, please click on the following applications:

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

Key features of the ZappySys API Driver include:

The API ODBC driver facilitates the reading and writing of data from numerous popular online services (refer to the complete list here) using familiar SQL language without learning complexity of REST API calls. The driver allows querying nested structure and output as a flat table. You can also create your own ODBC / Data Gateway API connector file and use it with this driver.

Intuitive Configuration: The interface is designed to be user-friendly, enabling users to easily set up the specific API endpoints within Power BI without requiring extensive technical expertise or programming knowledge.
Customizable Endpoint Setup: Users can conveniently configure the API endpoint settings, including the HTTP request method, endpoint URL, and any necessary parameters, to precisely target the desired data within Power BI.
Data Manipulation Capabilities: The ZappySys API Driver allows for seamless data retrieval and writing, enabling users to fetch data from Power BI and perform various data manipulation operations as needed, all through an intuitive and straightforward interface.
Secure Authentication Integration: The driver provides secure authentication integration, allowing users to securely connect to the Power BI API by inputting the necessary authentication credentials, such as API tokens or other authentication keys.
Error Handling Support: The interface is equipped with comprehensive error handling support, ensuring that any errors or exceptions encountered during the data retrieval or writing process are efficiently managed and appropriately communicated to users for prompt resolution.
Data Visualization and Reporting: The ZappySys API Driver facilitates the seamless processing and presentation of the retrieved data from Power BI, enabling users to generate comprehensive reports and visualizations for further analysis and decision-making purposes.

Overall, the ZappySys API Driver serves as a powerful tool for streamlining the integration of applications with Power BI, providing users with a convenient and efficient way to access and manage data, all through a user-friendly and intuitive interface.