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«November 2015»

DirectQuery in Power BI Desktop

In the latest Power BI Desktop a new Preview features was released that now allows you to connect using DirectQuery to either SQL Server or Azure SQL Databases.  DirectQuery is a really neat feature that allows you to point to the live version of the data source rather than importing the data into a data model in Power BI Desktop. 

Normally when you want to get an updated dataset in the Power BI Desktop you would have to manually click the refresh button (this can be automated in the Power BI Service), which would initiate a full reimport of your data.  This refresh could take a variable amount of time depending on how much data your have.  For instance, if you’re refreshing a very large table you may be waiting quite a while to see the newly added data. 

With DirectQuery data imports are not required because you’re always looking at a live version of the data.  Let me show you how it works!

Turning on the DirectQuery Preview

Now, because DirectQuery is still in Preview you must first activate the feature by navigating to File->Options and settings->Options->Preview Features then check DirectQuery for SQL Server and Azure SQL Database


Once you click OK you may be prompted to restart the Power BI Desktop to utilize the feature.

Using DirectQuery in Power BI Desktop

Next make a connection either to an On-Premises SQL Server or Azure SQL database.

Go to the Home ribbon and select Get Data then SQL Server.


Provide your Server and Database names then click OK. ***Do not use a SQL statement.  It is not currently supported with DirectQuery***


From the Navigator pane choose the table(s) you would like to use.  I’m just going to pick the DimProduct table for this example and then click Load.  You could select Edit and that would launch the Query Editor where you could manipulate the extract.  This would allow you to add any business rules needed to the data before visualizing it.


Next you will be prompted to select what you want to connect to the data. Again, Import means the data

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The Big Data Blog Series

Over the last few years I’ve been speaking a lot on the subject of Big Data. I started by giving an intermediate session called “Show Me Whatcha’ Workin’ With”. This session was designed for people who had attended a one hour introductory session that showed you how to load data, to look at possible applications … Continue reading The Big Data Blog Series
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List Indexes For Database using TSQL

  • 13 October 2010
  • Author: briankmcdonald
  • Number of views: 34751

A while ago, I showed you how to find out what indexes were on a table using the GUI. Today, I am going to show you a quick query to determine the indexes for ALL tables in a database. The results will also show you whether it is a CLUSTERED or NONCLUSTERED index. Script 1 below will return ALL indexes in the AdventureWorksDW2008R2 database (available on Codeplex). If you want to see what indexes are in your environment, just modify the USE statement at the top of the script. Figure 1 shows sample results of executing this query.

Script 1: List All Indexes

USE AdventureWorksDW2008R2




   AS TableName

            , AS IndexName

            , si.type_desc AS IndexType


            sys.indexes si

            JOIN sys.objects so ON si.[object_id] = so.[object_id]


            so.type = 'U'    --Only get indexes for User Created Tables

            AND IS NOT NULL


  , si.type 

Figure 1: Sample Results – All Tables

List All Indexes For Database


I hope that you have enjoyed this quick blog. If you did, please rate it! Also, if you don’t already, please be sure to follow me on twitter at @briankmcdonald. Also note that you can subscribe to an RSS feed of my blogs here.


Until next time, thank you for reading,



Brian K. McDonald, MCDBA, MCSD
Business Intelligence Consultant – Pragmatic Works

Email: | Blogs: SSRSGeek | SQLServerCentral | BIDN

Twitter: @briankmcdonald | LinkedIn:



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