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SOLVED

Multi Row Question

Emil_Kos
17 - Castor
17 - Castor

Hi everyone,


Usually I am trying to answer questions of people but I am stuck and I am not sure how to move forward. 

 

I have a table with 20m+ rows and I am looking to identify if each line is in the chain. In order to do so at least one recipient that is the same for the previous row(comma is as a separator).

 

This is the data set: 

 

request_idServer IDrecipient
11111111111Server 1RecipientA,RecipientB
11111111112Server 1RecipientB,RecepientC
11111111113Server 1RecepientA,RecepientB
11111111114Server 1RecepientB
11111111115Server 1RecepientC

 

This is desired output:

 

request_idServer IDrecipientOutput/Chain
11111111111Server 1RecipientA,RecipientBServer 1
11111111112Server 1RecipientB,RecepientCServer 1
11111111113Server 1RecepientA,RecepientBServer 1
11111111114Server 1RecepientBServer 1
11111111115Server 1RecepientC

 

 

I wanted to use multi row formula:

 

IF [Server ID]=[Row-1:Server ID] AND
[recipient]=[Row-1:recipient]
Then [Server ID] Else '' ENDIF

 

But it will not work in my examples. 

 

I wanted to use text to columns but because recipient is not always in the same order or I can have couple different recipients for each line I don't think it will be a best solution.

 

Please advise me with some suggestions. I am sure the answer is quite easy but I am missing something obvious. 

16 REPLIES 16
Qiu
20 - Arcturus
20 - Arcturus

@Emil_Kos 
How do you define "Chain"?

And 'RecipientA' and 'RecepientA' are different?

PhilipMannering
16 - Nebula
16 - Nebula

Not sure on the exact solution, but I strongly suggest you check out the Make Group Tool. So I would split to rows the [Recipient] and then use the Make Group tool with ServerID and Recipient fields. This should add a Group that identifies a member of a chain. Think it would be perfect for what you're after...

 

Thanks,

Philip

 

Emil_Kos
17 - Castor
17 - Castor

Hi @Qiu,


I tried to explain it in my initial post:

 

I have a table with 20m+ rows and I am looking to identify if each line is in the chain. In order to do so at least one recipient that is the same for the previous row(comma is as a separator).

 

So overall I am looking at the recipient column and at least one of them needs to be in the previous line. 

 

request_idServer IDrecipientOutput/ChainJust for Reference
11111111111Server 1RecipientA,RecipientB  
11111111112Server 1RecipientB,RecepientCServer 1RecipientB
11111111113Server 1RecepientA,RecepientBServer 1RecipientB
11111111114Server 1RecepientBServer 1RecipientB
11111111115Server 1RecepientC  

 

Actually I found a mistake in my initial post and the first line will not be in chain. 

Qiu
20 - Arcturus
20 - Arcturus

@Emil_Kos 
Multi Row Tool might the solution here.

But Can I ask why Row 3 is having Server ID if Row 1 doest not?

test1.PNG

atcodedog05
22 - Nova
22 - Nova

Hi @Emil_Kos 

 

Here is a workflow for the task.

Output:

atcodedog05_0-1606221898208.png

 

Workflow:

atcodedog05_1-1606221792305.png

 

And it should be able to handle multiple recipients too.

 

Hope this helps 🙂 Feel to ask if you have any questions


If this post helps you please mark it as solution. And give a like if you dont mind 😀👍

Qiu
20 - Arcturus
20 - Arcturus

@atcodedog05 

There are 'RecipientA' and 'RecepientA' in the original post.

atcodedog05
22 - Nova
22 - Nova

@Qiu 

 

Yup i cleaned up the spelling guessing it was by mistake.

Qiu
20 - Arcturus
20 - Arcturus

@Emil_Kos 
if it is really just a typo, I get the same output as yours.

test2.PNG

Emil_Kos
17 - Castor
17 - Castor

Hi @PhilipMannering,

 

I will learn about it later but a moment ago I wasn't able to make it work. 

 

@Qiu 

 

The first line shouldn't be marked because we don't have a previous line.


Recipient is a spieling mistake. 


I wasn't aware contains function can be used on few columns at the same time. Thank you for sharing!

 

@Qiu @atcodedog05 

 

I will check if those solutions work for me. In case I will have more questions I will get back to you.

I need to test it on original data. 

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