Power query custom connector

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Power query custom connector

So I want 'Choose Columns' to only show as selected the handful of columns that are returned by default and then I can use OnSelectColumns to fetch the other columns as required. So far I can not work out how to get Choose Columns to show anything other than all columns as selected initially. Go to Solution.

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Missed the Arun 'Triple A' event or want to revisit it? We've got you covered! Turn on suggestions. Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. Showing results for. Search instead for. Did you mean:. All forum topics Previous Topic Next Topic. Power query custom connector - Default Selected Columns. Labels: Need Help. Message 1 of 2. Accepted Solutions. Re: Power query custom connector - Default Selected Columns.

Transpose the whole table.

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Add a custom column like this.Contents and the Query and RelativePath optionsa blog post you should reread before you carry on here because it provides some useful background.

Note that all the example M code in this post works in Power BI Desktop and does not need to be used in a custom data connector. It then calls the API, gets the search results in JSON format and converts it to a table with just one column containing the title of the datasets returned.

Using Fiddler to inspect the calls make from the Power Query engine back to the web service I describe how to do this here when the query is loaded into a Power BI dataset reveals the following:.

Everything is pretty much as you would expect: every time this query is used, no matter how it is used, the same request is used to get data. Query folding is implemented using the Table. In the second parameter of Table. View in this example there are three records in the handler field:.

Starting to Develop Custom Connectors

The first thing to point out is that, in the Query Editor, it returns more than ten rows — it returns one thousand rows. Fiddler confirms this:. As the official documentation states at the bottom of this page :. The Power Query experience will always perform an OnTake of rows when displaying previews in the navigator and query editor, so your users might see significant performance improvements when working with larger data sets.

Fiddler now shows two calls to the web service:. Two calls to the web service are being made: the first asks for zero rows, the second asks for all the data with no row limit. In this case the following change to SearchForDataWithFolding stops the first call happening and results in only one call to the web service:. But why is the Power Query engine making this call?

Did it make the same call twice in the other query but did it cache the result of the first call and then reuse it? Is it trying to find out what columns this query returns? Hmm, a subject for future research I think. You can download the sample pbix file for this post here.

Full documentation and samples for using OpenApi. You can then use the Extension. Contents M function to read the contents of the file in code and pass that to OpenApi. The last problem to solve is that OpenApi. Document only supports basic and anonymous authentication by default, so support for OAuth2 has to be handled using the ManualCredentials option. Once you build your custom connector, you see all of the endpoints or at least those that support GET and POST requests exposed as functions in the Navigation table:.

It looks super-easy to build a custom connector this way, but is it a actually good idea? I can see a few pros and cons:. When the custom data connector is used in Power BI Desktop, if diagnostic logging is turned on in the Options dialog:. So that the CredentialQuery option is used instead of the Query option, the search term will not appear in the log file.

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Thanks to Curt Hagenlocher for providing this information. I was looking at the list of M functions supported in custom connectors and not in Power BI Desktop using the technique I blogged about here in the latest version of the Power Query SDK when I came across an intriguing new function: List. When you call it, it waits 5 seconds and returns the value 1. If you call it three times and sum up the results, as follows:. When this is evaluated in a custom connector, you get the value 3 back after 5 seconds — so it looks like List.

ParallelInvoke allows you to invoke a list of functions in parallel. So, for example:. I can imagine all kinds of uses for this, for example making multiple parallel calls to data sources or doing expensive calculations in parallel.When I heard about custom data connectors for Power Query, I had assumed there would be a lot of work involved. Once you do that, you will see Power Query as an option when creating a new project.

Visual studio will also have support for. Once you create a new data connector project, you are presented with two main Power Query files. The first one, is simply a test query you can run on demand to test your connector. The other file is your data connector. It has a bit of boilerplate to specify the types of credentials it accepts and publishing details such as beta status. Otherwise there is just a little bit of code defining the actual functionality.

In this case we are defining the Contents function, which acts as a hello world:. So now, what if we want to add some more functionality?

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Say maybe a function to square numbers. Squared function to the main file:.

Microsoft Power BI: Building connectors - BRK4003

This will create a. You will likely have to create that folder. To get around this, go into the options for Power BI Desktop and then security. Getting set up When I heard about custom data connectors for Power Query, I had assumed there would be a lot of work involved.

Adding a function So now, what if we want to add some more functionality? Squared function to the main file: shared SquareNumbers. Now we can see it is available in our list of connectors. By default it will call the Contents function: But we can easily modify the M code to call our squared function as well. Which will give us the output we expect. What next?In my previous blog postI wrote about the Oura Ring and how it tracks my wellness and activities. I claim not to be a Power BI expert.

This is the rich power user tool for building Power BI reports. Power BI Desktop has a wealth of built-in connectors. This unfortunately requires the. I briefly considered building a simple Azure Function to wrangle the. Turns out I need to build a Custom Connector. I found this instructional article on docs. For starters, I needed Visual Studio, which I already had installed — version For once, the project template is super simple!

This is simple and we like simple. Simple rarely fails majestically.

power query custom connector

The core of the connector is in the. First time opening this file I almost rolled my eyes out from my head. I had very little to start with. I think.

power query custom connector

I have zero intention in learning M any more than I need to learn Swedish grammar. Dissecting the sample Hello World code took about an hour and involved some creative googling. There are 4 parts to a connector:. It took me embarrassingly long to figure out I could just F5 through my connector without deploying it for real. This builds the solution and runs a testing tool called M Query Output that I found very useful. Based on my data source definition and authentication details, I could execute tests against a live API and run sample queries.

These queries are picked from the ProjectName. Contents is the connector definition Kind and the method allows for passing parameters.

power query custom connector

Such as an URL. To my API. Makes sense, right? I trawled through the sample connectors from GitHub that Microsoft has produced. This took one evening to get to a state that I was able to get data in Power BI. They even have a tiny helper tool that generates clickable test links.Access more than transformations in the Power Query Editor, letting you transform data easier and with more flexibility than any other tool—including smart AI-based data transformations. Anyone can start connecting, cleaning, transforming, and combining data today—try it and see.

Connect, clean, reshape and import data faster. Seamlessly import, transform and analyze data in Excel. Auto-refresh data from a wide range of sources. No SQL coding skills required. Reshape and transform data to suit your model. Create reusable data connectivity and preparation logic—even create parameters—and make adjustments to the logic across projects, all without any coding.

Easily extend Power Query by creating your own connectors and data transformations if you need to, that can also easily be shared and used by others. Now anyone can easily build custom connectors and transformations, then share them. If you own a data source or service and want to make it easily accessible to others, check out how to build and certify your custom Power Query connector.

Technical explanations written by the creators of Power Query. Everything you want to know about the language that powers Power Query. Books, blogs, training, and links to everything Power Query. This site uses cookies for analytics, personalized content and ads.

By continuing to browse this site, you agree to this use. Learn more. Get started. Connect to hundreds of data sources. Search connectors. Accessible, powerful, smart data preparation. No coding needed. Everything becomes more powerful. More proof of the power. Open your data to more customers Now anyone can easily build custom connectors and transformations, then share them.

Dynamics Azure Data Lake Storage. See all connectors Certify your connector. M Language reference Everything you want to know about the language that powers Power Query Learn more. More resources Books, blogs, training, and links to everything Power Query.Power BI Desktop users can download extension files and place them in a known directory steps described above.

Power BI Desktop will automatically load the extensions on restart. We are hard at work on Office Store integration to make it easy for users to discover and install data connectors you build. During this preview phase, developers interested in distributing their connectors for use with Power BI can contact us at DataConnectors at microsoft. Your connector definition file will start with an empty Data Source description.

Power Query extensions are bundled in a ZIP file and given a. Extensions are defined within an M section document. A section document has a slightly different format from the query document s generated in Power Query.

Code you import from Power Query typically requires modification to fit into a section document, but the changes are minor. Section document differences you should be aware of include:.

Installing the Power Query SDK

This file can be used to run test queries within Visual Studio. The query evaluation will automatically include your extension code, without having to register your. Contentsa let expression such as what Power Query would generateor a section document. You may also leave feedback directly on GitHub. Skip to main content. Exit focus mode. Is this page helpful? Yes No. Any additional feedback? Skip Submit. Send feedback about This product This page.

This page. Submit feedback. There are no open issues. View on GitHub.One of the recent features in Power BI Desktop is the ability to create your own custom connector and use it when connecting to the data source. This feature looks just one feature, but it opens doors to many possibilities. With this feature you can write your own custom connector to any types of data source that is not already available. Many of you want to connect to some data sources already and waiting for the connector for it.

Custom Connectors should be created in Visual Studio with M script. This post is the first post of blog series about creating custom connectors. However, this list is not including all types of data sources. There are always data sources that you want to connect, and is not available in this list.

With Custom Connector you can code your own connection provider and re-use it multiple times. For running examples of this post you need to have Visual Studio installed.

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You can download the community edition of that for free. If you like to learn about the basics of M, read my post here. Good news is that M has an intelisense here in Visual Studio.

This file includes all the code and M script to connect to the data source and fetch the data out in the desire format. Explaining all functions and code above might be a bit out of scope for this introduction post.

I will explain these in details in future posts. If you run this project, you would be able to see the result after setting the authentication of course. The very first example I want to show is a simple function that you just pass the number to it and it will give you a table with one single column with values starting from 1, adding one at a time and finishing at that number.

It is just a list of numbers. I found it is the easiest way to understand how things work. In this function I have used List. Numbers to generate a list of numbers from 1. Adding one number at time to the specified number. You can test the query in Visual Studio. To publish the custom connector, you have to build it first.

At the time of writing this post, custom connectors is still a preview feature. To enable this feature; Go to File, Options.


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