power-bi.ipynb

{
    "metadata": {
        "kernelspec": {
            "name": "SQL",
            "display_name": "SQL",
            "language": "sql"
        },
        "language_info": {
            "name": "sql",
            "version": ""
        }
    },
    "nbformat_minor": 2,
    "nbformat": 4,
    "cells": [
        {
            "cell_type": "markdown",
            "source": [
                "# Execute DAX queries in your Power BI environment via REST endpoint\n",
                "\n",
                "Power BI allows the execution of DAX queries against a published Dataset via the _executeQueries_ endpoint:\n",
                "\n",
                "[Datasets - Execute Queries](https://learn.microsoft.com/en-us/rest/api/power-bi/datasets/execute-queries)\n",
                "\n",
                "If you don't have a Dataset available to use, you can create a sample dataset using one of the [built in samples](https://learn.microsoft.com/en-us/power-bi/create-reports/sample-datasets#install-built-in-samples). This document will use the \"Retail Analysis Sample\" example.\n",
                "\n",
                "![power-bi-1.png](attachment:power-bi-1.png)"
            ],
            "metadata": {
                "azdata_cell_guid": "2fa150ef-9af9-491d-9c6b-50f49a0b67d9"
            },
            "attachments": {
                "power-bi-1.png": {
                    "image/png": 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"
                }
            }
        },
        {
            "cell_type": "markdown",
            "source": [
                "## Get the Dataset id\n",
                "\n",
                "To discover the Dataset Id that is needed to execute a DAX query using the _executeQuery_ endpoint, you can go to your Power BI portal, and click on the Dataset link:\n",
                "\n",
                "The Dataset page will open up and the URL will be something like:\n",
                "\n",
                "```\n",
                "https://xyz.powerbi.com/groups/me/datasets/DATASET_ID/details\n",
                "\n",
                "```"
            ],
            "metadata": {
                "azdata_cell_guid": "1c80629c-4ddc-4e96-b93c-cfa6b005d373"
            },
            "attachments": {}
        },
        {
            "cell_type": "markdown",
            "source": [
                "## Setup up the Database Scoped Credentials\n",
                "\n",
                "Power BI REST endpoint requires authentication. You can get a token that represent your user by using AZ CLI:\n",
                "\n",
                "```bash\n",
                "az account get-access-token --resource \"https://analysis.windows.net/powerbi/api\" --query \"accessToken\" -o tsv\n",
                "```\n",
                "\n",
                "the command will output something similar to the following string:\n",
                "\n",
                "```text\n",
                "eyJ0eXAiOiJK.....5aOYpZSFrSiKYYD6Q\n",
                "```\n",
                "\n",
                "copy the whole string and use in the the following code replacing the `TOKEN` string after the `Bearer` text. Make sure also to replace the `DATASET_ID` placeholder with the Dataset id you got in the previous step. Execute the T-SQL code. It will safely store the authentication token in a Database Scoped Credential so that it will be possible to use the token later with `sp_invoke_external_rest_endpoint`"
            ],
            "metadata": {
                "azdata_cell_guid": "6cf54ac8-0e87-4698-84a6-ae9b81934b5a"
            },
            "attachments": {}
        },
        {
            "cell_type": "code",
            "source": [
                "-- make sure a database master key exists\n",
                "if not exists(select * from sys.symmetric_keys where [name] = '##MS_DatabaseMasterKey##') begin\n",
                "    create master key encryption by password = 'LONg_Pa$$_w0rd!'\n",
                "end\n",
                "\n",
                "-- create database scoped credential\n",
                "if exists(select * from sys.database_scoped_credentials where [name] = 'https://api.powerbi.com/v1.0/myorg/datasets/DATASET_ID/executeQueries') begin\n",
                "    drop database scoped credential [https://api.powerbi.com/v1.0/myorg/datasets/DATASET_ID/executeQueries];\n",
                "end\n",
                "create database scoped credential [https://api.powerbi.com/v1.0/myorg/datasets/DATASET_ID/executeQueries]\n",
                "with identity = 'HTTPEndpointHeaders', secret = '{\"Authorization\": \"Bearer TOKEN\"}';\n",
                "go"
            ],
            "metadata": {
                "azdata_cell_guid": "6fd989ea-205e-424d-9c72-980b6cd9fc50",
                "language": "sql"
            },
            "outputs": [],
            "execution_count": null
        },
        {
            "cell_type": "markdown",
            "source": [
                "## Execute DAX Query\r\n",
                "\r\n",
                "Now you can call the *executeQueries* endpoint, passing the DAX query that you want to execute. Use the `string_escape` function to make sure everything will be correctly escaped when passed in the JSON payload.\r\n",
                "\r\n",
                "When querying the returned result, remember that Power BI make extensive use of square brackes, which needs to be escaped in Azure SQL database, as used to delimit object names. You can use the double quotes to wrap the column name so that it will be considered valid and the square brackets will be treated as regulat characters (for example: `\"District[District]\"`), or you can escape the square brackets by adding one bracket at the start and *two* at the end (for example: `[District[District]]]`)"
            ],
            "metadata": {
                "azdata_cell_guid": "22ff69f0-86d3-40e1-9689-16e6a43762ee"
            },
            "attachments": {}
        },
        {
            "cell_type": "code",
            "source": [
                "\n",
                "declare @url nvarchar(4000) = N'https://api.powerbi.com/v1.0/myorg/datasets/DATASET_ID/executeQueries';\n",
                "declare @payload nvarchar(max) = N'{\n",
                "  \"queries\": [\n",
                "    {\n",
                "      \"query\": \"' + string_escape('\n",
                "        DEFINE VAR __DS0Core = \n",
                "        SUMMARIZECOLUMNS(\n",
                "            ROLLUPADDISSUBTOTAL(''District''[District], \"IsGrandTotalRowTotal\"),\n",
                "            \"This_Year_Sales\", ''Sales''[This Year Sales]\n",
                "        )\n",
                "\n",
                "        EVALUATE\n",
                "        __DS0Core\n",
                "\n",
                "        ORDER BY\n",
                "        [IsGrandTotalRowTotal] DESC, ''District''[District]\n",
                "        ', 'json') + '\"\n",
                "    }\n",
                "  ],\n",
                "  \"serializerSettings\": {\n",
                "    \"includeNulls\": true\n",
                "  }\n",
                "}'\n",
                "\n",
                "declare @ret int, @response nvarchar(max);\n",
                "\n",
                "exec @ret = sys.sp_invoke_external_rest_endpoint \n",
                "\t@method = 'POST',\n",
                "\t@url = @url,\n",
                "\t@payload = @payload,\n",
                "\t@credential = [https://api.powerbi.com/v1.0/myorg/datasets/DATASET_ID/executeQueries],\n",
                "\t@response = @response output;\n",
                "\n",
                "select * from openjson(@response,  '$.result.results[0].tables[0].rows') with\n",
                "  (\n",
                "    \"District[District]\" nvarchar(100),\n",
                "    \"[IsGrandTotalRowTotal]\" bit,\n",
                "    \"[This_Year_Sales]\" numeric(18,9)\n",
                "  )"
            ],
            "metadata": {
                "azdata_cell_guid": "e7b5fbba-1938-4a0e-a433-7874b79cf47c",
                "language": "sql",
                "tags": []
            },
            "outputs": [],
            "execution_count": null
        },
        {
            "cell_type": "markdown",
            "source": [
                "The result will be something like:\r\n",
                "\r\n",
                "![power-bi-2.png](attachment:power-bi-2.png)"
            ],
            "metadata": {
                "azdata_cell_guid": "3e7513e7-7906-41cf-a27d-b2b9fbf3ff7d"
            },
            "attachments": {
                "power-bi-2.png": {
                    "image/png": 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"
                }
            }
        }
    ]
}