Improved Text.SplitAny – function for Power BI and Power Query

Today I’ll present an adjustment to the Text.SplitAny – function in Power BI’s query editor or Power Query. The native function takes a string as an input and splits the text by every character that is contained in the string. This seems fairly unusual to me and I haven’t used that function very often.

Problem

But what I have come across fairly often is the requirement to split a string by a bunch of different (whole) strings (instead of single characters).

Solution

Therefore I’ve modified the native Text.SplitAny – function so that it also accepts lists with strings as its second parameter:

How it works

This new function checks if the 2nd parameter is of type text and if so, applies the native function. But if it’s not text but a list with strings, it applies a different transformation instead, that:

  • Walks through the list of separators, using the List.Accumulate-function (row 13)
  • Splits the text by every separator in that list (row 17).
    • But as the result of a splitted text is a list, this operation has to be performed on every item of that list. Hence I’m using List.Transform for it. List.Transform also walks through every item of a list and does a transformation on it, like List.Accumulate. But it doesn’t feed it’s results of every iteration step to the subsequent step: Instead it simply stores each transformed list element on its original position and returns it there at the end. So while List.Accumulate can return a result of any format (depending on the function you perform in it), List.Transform will always return a list of the same length than the one you feed it.
  • Flatten the nested list before the next iteration (row 18).
    • When you successfully split each text-item of a list (into a list), you end up with a nested list. But this is not the ideal shape for further transformations. So I flatten the nested list into a simple list for the next iteration-round.
  • Gets rid of any empty fields that might have been created by the splitting operation above (row 19)

Hope you enjoy & stay queryious 😉

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