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Aurora
Post Patron
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How To Evaluate 2 Dataverse Tables Against Each Other

Hi all,

 

I am trying to make a flow that checks 2 tables at once, and then sends an email if the values in the table are not the same. 

 

I have 2 Dataverse tables, that both are created with a dataflow from the same source. One table update daily, while the other weekly. Both tables have the exact same data, but one is "more up to date".

 

What I want to do is check and see if the values in a column have changed when the table that gets updated daily updates. I tried to build a flow to get the rows from both tables in parallel, but the values are not grabbed in the same order, making my comparison always fail. 

Aurora_0-1677795302384.png

Part Number = "431-440-0012"     &       Quantity = 211644

 

I had hoped that the flow would be able to read through the tables in the same order, but I cannot find a way to do so. I would like to send an email if the quantity values are different between any part number (there are 12 part numbers).

 

Does anyone have any ideas or suggestions for how to accomplish this? 

 

1 ACCEPTED SOLUTION

Accepted Solutions
grantjenkins
Super User
Super User

Hopefully this is what you're looking for. For this example, I'm just using a couple of Compose actions to store the data that you get from your Dataverse tables, so you would just need to modify to uses your data instead.

 

See full flow below. I'll go into each of the actions.

grantjenkins_0-1677974852270.png

 

Compose A and Compose B have the arrays of parts objects. Note that the order of the objects is different, and part number 431-440-8012 has different values. As mentioned, this would be the data you get from your Dataverse tables.

grantjenkins_1-1677975005813.png

 

Compose uses the union expression to merge the two arrays. If both arrays contain the same objects/properties (in any order) and the values match, then we would get a resulting array with the same number of items. If one of the objects/properties, or values were different, then our resulting array would have more items (different length). The expression used here is below. Note that you would just be passing in your arrays from your Dataverse Table outputs here instead of the Composes.

union(outputs('Compose_A'), outputs('Compose_B'))

grantjenkins_2-1677975198658.png

 

Condition checks for two things. Firstly, it checks to see if the initial arrays are both the same length (so we know that they contain the same parts. Secondly, we check to see if the combined array (from our union) is the same length as Compose A. If the length is equal, then we can safely assume the arrays have the same properties/values. However, if the length is not equal, then there is a difference between them. The expressions used are:

//First condition
length(outputs('Compose_A'))
length(outputs('Compose_B'))

//Second condition
length(outputs('Compose_A'))
length(outputs('Compose'))

grantjenkins_5-1677975464450.png

 

If they are not the same length, we go into the Yes branch, and Send an email.

grantjenkins_4-1677975442566.png


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View solution in original post

2 REPLIES 2
grantjenkins
Super User
Super User

Hopefully this is what you're looking for. For this example, I'm just using a couple of Compose actions to store the data that you get from your Dataverse tables, so you would just need to modify to uses your data instead.

 

See full flow below. I'll go into each of the actions.

grantjenkins_0-1677974852270.png

 

Compose A and Compose B have the arrays of parts objects. Note that the order of the objects is different, and part number 431-440-8012 has different values. As mentioned, this would be the data you get from your Dataverse tables.

grantjenkins_1-1677975005813.png

 

Compose uses the union expression to merge the two arrays. If both arrays contain the same objects/properties (in any order) and the values match, then we would get a resulting array with the same number of items. If one of the objects/properties, or values were different, then our resulting array would have more items (different length). The expression used here is below. Note that you would just be passing in your arrays from your Dataverse Table outputs here instead of the Composes.

union(outputs('Compose_A'), outputs('Compose_B'))

grantjenkins_2-1677975198658.png

 

Condition checks for two things. Firstly, it checks to see if the initial arrays are both the same length (so we know that they contain the same parts. Secondly, we check to see if the combined array (from our union) is the same length as Compose A. If the length is equal, then we can safely assume the arrays have the same properties/values. However, if the length is not equal, then there is a difference between them. The expressions used are:

//First condition
length(outputs('Compose_A'))
length(outputs('Compose_B'))

//Second condition
length(outputs('Compose_A'))
length(outputs('Compose'))

grantjenkins_5-1677975464450.png

 

If they are not the same length, we go into the Yes branch, and Send an email.

grantjenkins_4-1677975442566.png


----------------------------------------------------------------------
If I've answered your question, please mark the post as Solved.
If you like my response, please consider giving it a Thumbs Up.


----------------------------------------------------------------------
If I've answered your question, please mark the post as Solved.
If you like my response, please consider giving it a Thumbs Up.
Aurora
Post Patron
Post Patron

@grantjenkins 

 

This appears to be working for me, thanks for the suggestion and feedback!

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