如何在 Azure 数据流中执行循环类型的逻辑

Question

Here is my requirement:

Basically in a for loop there are 3 things: initialisation, condition, loop

So i have to generate a row basing on for loop logic for every row like:

• initialisation : {Start_Rcvd Date} (col in my table)
• condition: DateBetweenDRO (New Column) <= {WIP AGE DATE} (Col in my table)
• loop: addDays({DateBetweenDRO},1) (Col in my table)

Output: In the output, for every row it loops through the condition and generate a column and fills from initialsion value to loop ending condition.

Let us consider 2 date cols NewDate: 31/01/2022 OldDate: 01/05/2022

Now I am mentioning:

initialization expression: NewDate(31/01/2022) conditional expression : NewDate<=OldDate loop : NewDate+1month

Output can be:

So For every row its generating 3 rows and adding 1 month every time as value in NewDate col.

Can you help please how to achieve this kind of thing in Azure dataflow

Answer 1

How to Perform for loop type of logic in Azure Data FLow I tried to repro this scene in Azure data flow and below is the approach.

• An initial value for new_date field is assigned in a dataflow parameter initialnewParameter="2022-01-05" .

• Source data is taken as in below image.

• In order to generate multiple rows, first total number of months between old date and new date is computed. toInteger(round(monthsBetween(old_date,toDate($initialnewParameter)),0,1)) . This will give the rounded-up value of months between old and new date.

• Maploop function is used to create an array starting from 1 to value of months between old and new date.

• In derived column transformation column named monthsbw[] is created and expression is given as mapLoop(toInteger(round(monthsBetween(old_date,toDate($initialnewParameter)),0,1)),#index) .

• monthsbw[] is created and values are from 1 to months between old and new date as in below image.

• Flatten transform is used and this data is unrolled by monthsbw array.

• Output of the flattened data

• Derived column transformation is taken and monthbw is added to the dataflow parameter initialnewParameter which stores the initial value of new date. Expression for new_date column: addMonths(toDate($initialnewParameter),toInteger(monthbw)-1)

• Output of the derived column activity:

• By this way, you can generate multiple rows from a row in azure data flow. You can use select transformation and select only required columns.