Power Query Allow Data Preview To Download In The Background

By default, when Power Query imports data, it also caches up to 1000 rows of preview data for each query. Preview data helps to present you with a quick preview of source data, and of transformation results for each step of your queries. It's stored separately on-disk and not inside the Power BI Desktop file.

You'll achieve a faster refresh by setting the Power BI Desktop file to update the preview cache in the background. In Power BI Desktop, you enable it by selecting File > Options and settings > Options, and then selecting the Data Load page. You can then turn on the Allow data preview to download in the background option. Note this option can only be set for the current file.

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To open a query, locate one previously loaded from the Power Query Editor, select a cell in the data, and then select Query > Edit. For more information see Create, load, or edit a query in Excel.

Both Power Query and Power BI load previews of the data returned by a query for display in the Query Editor; clicking Refresh All in the workbook was obviously triggering a refresh of these previews and this was what was using all the memory and CPU. I found that to prevent this happening I had to use an option that was introduced in Power BI in January 2016 and is also now present in Power Query/Get & Transform in Excel: Allow Data Preview To Download In The Background.

I have a VBA code that runs PowerQuery refresh on execution. This query is very slow if the user has the setting in the picture below on. (Data --> Get Data --> Query Options --> Current File Data Load --> Allow data previews to download in the background.)

Imagine you have a very complicated file with lots of queries and very large inputs files (e. g. 3 CSV files above 1 GB). Your PC will probably run at 100% CPU and Power Query will consume >50% you RAM. It may get to the point that your PC will be slow to respond. The quick fix is to untick this option so Power Query only loads the necessary data for the current query. The downside will be that Power Query will be slower BUT it will operate reliably.

If you do calculations in the vertical direction (like summing up multiple values from one column) for each row, performance can degrade drastically. If these calculations shall only be made within a certain sub-group, you can speed up the process significantly by grouping first, so that the vertical scan only has to go over the subsets of the table: -tip-partition-tables-crossjoins-possible-powerquery-powerbi/ Also check in these cases, if a DAX measure would be an even the better solution here: -columns-vs-measures-dax/

I don't think disabling "allowing data preview in the background" helps a lot with performance, it affects caches update in preview mode. Side effect, in preview mode you may have "evaluation was cancelled" yellow alert. Not critical, you may click on such query to refresh it. But again, that's mainly preview mode.

With "Fast Data Load" Excel/Power Query allocates maximum of available resources (CPU, memory) to query downloading. During that other processes could be unresponsive. Yes, it accelerates data loading but decelerates if not stops for a while other processes.

I have a nice PowerQuery query that connects with ODBC to a database. Our passwords change every month. When I enter GetAndTransform to edit the query, that time of the month - even if I don't explicity refresh the query: PQ revokes my ODBC password for all apps on my PC. I assume PQ automatically tries to connect and then fails with wrong password 3+ times. Is there some solution e.g. rather disable PQ auto-reconnect and let user retype the password manually every time? Which should solve the problem. It's kind of chicken-and-egg problem since I cannot of course change the passsword in PQ without entering the query in the first place.

If you can find the Query Options window (usually in the sub-menu under the New Query button), then navigate to Current Workbook / Data Load / Background and uncheck Allow data preview to download in the background.

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With the March release of Power BI Desktop, we are happy to announce General Availability (GA) of external tools integration. You can leverage a wide range of additional semantic modeling features, DAX query/expression optimization and authoring utilities, and application lifecycle management (ALM) capabilities in Power BI Desktop by using ALM Toolkit, Tabular Editor, DAX Studio, Metadata Translator, and many more open-source tools. Along with GA, we are also announcing the following additional enhancements.

Jeroen (Jay) ter Heerdt from Power BI product team, Yana Berkovich and from the Power BI content team and Alex Powers Senior Technical Specialist at Microsoft will be hosting an 8-hour training delivered over two days (4 hours each) as well as answering your live questions during the sessions! This fantastic team will walk us through Power BI capabilities to enhance the data model and help shape your data for business users.

In two sessions, we will explore how to connect to your data and make all the preparations prior to the data visualization stage.

We will explore together how to clean and shape your data, working in the query editor to be able to answer future business questions using the improved data set. We will create a data model together, explaining tables and relationships.

During the session we will discuss the impact of the choices we make on performance and visualizations as well as enabling our end users to make data driven decisions based on the Power BI report. After loading the data and model into our blank canvas, we will create columns & measures, discussing the differences and available options to get more values from your existing data. We will have knowledge checks and assignments during the training.

When working with multiple tables that all load off the same CSV files, I found that Power BI desktop would start trying to refresh data in the background, and it would either make the Query Editor I was working on very slow. Or I would have to wait until the background data preview to complete. By turning this off it meant you only would refresh the data you are working on.

Now in the right hand pane under the section Background Data, remove the tick from Allow data preview to download data in the background. So that once complete it looks as shown below.

When we need to create some form of calculation in addition to the data we already have in our model, we have the option to use a Calculated Column or a Measure. I have worked with many individuals in optimising their Power BI solutions and I find that calculated columns are highly used in comparison to measures, as they seem to be the preferred option when constructing a calculation through a DAX formula. From all the discussions I have had, many times this simply comes down to the physical presence that calculated columns have in the model and due to calculated columns feeling more like home, meaning more similar to Excel. This was especially the case when I was working closely with individuals with a financial background and were big in using excel.

With DirectQuery, a query is generated and sent to the database at the point the report consumer interacts with the report by selecting a value in the slicer, selecting one of the bars in the column chart, using a filter or anything else. This can create a bottle neck, especially if you have a large number of users interacting with the Power BI report.

Disabling background refresh allows the query to complete the refresh before the other queries are refreshed. It also allows all queries to be refreshed before the pivot tables are refreshed. This is important if your workbook contains pivot tables that use a Power Query output table as the source data range.

Thank you Jon, fantastic code, it really has made a huge difference to me. Is it possible to run a macro that can disable background refresh on all power query connections on all workbooks in a folder, rather than having to run the macro on each individual file? Thank you.

My report above uses the standard data available in the DocRead database view. It contains a slicer at the top of the page that allows you to select a specific document. The table then shows a list of all employees who need to read that document and the date they did so. If the employee has not completed their reading task, then this will be shown as either overdue (if the due date has passed) or assigned.

This comprehensive Power Query tutorial is your entry point to mastering advanced data transformations in Excel. You will learn how to import data from diverse sources, transform and merge it according to your requirements, write formulas in the M language, automate query refreshes, and more.

Power Query, also known as Get & Transform, is a multi-purpose tool in Microsoft Excel and Power BI programs that allows you to import data from a wide variety of sources and transform that data to meet your specific needs.

It was first introduced as an add-in for Excel 2010 and later became a native feature in Excel 2016 and subsequent versions. Power Query (PQ) provides a user-friendly interface for connecting to various data sources, shaping, merging and cleaning your data, and then loading it into Excel for in-depth analysis and polished reporting in the form of pivot tables, charts, dashboards, and more.In essence, Power Query empowers Excel users to effortlessly extract, manipulate, and organize data from an expansive array of sources, making it a game-changer for professionals dealing with complex datasets.

What can Power Query be used for?Power Query is a versatile tool with a multitude of applications. Here are some common uses: e24fc04721