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blairing26
Regular Visitor

Export varying values from multiple array objects into single table row

I have list of 100 stores.  The store information is to be printed on flyers in their area for advertising that location and the additional locations in the close vicinity. Some stores print just their single location info. but others are grouped together in a team of 2, 3, or 4 locations so they can share the advertising materials with all of their locations listed.
Example:

Single location Listing:
Cleveland (city of store)
123 Street Ave., Suite 3
(123) 193-2034
URL

 

Team of stores Location Listing:
Taylorsville  -  1620 T Street
Fayette  -  63 N Ave., Suite 3
Smithtown  -  6th Ave, Unit 6
(612) 442-3857
 URL

 

Each store has multiple columns of information that are unique to their store. (Store ID, Address1, Suite/Bldg, City)
Each Store that is grouped with another, has a Team ID that matches the other stores in their group and they share some information between them.  Ie. The URL and sometimes the phone numbers.

For data merge purposes, I need all of the values from the columns of each store that is in a Team, to be listed out in a single Excel Row.  Empty column values are ok. 

I have tried a zillion diff. combinations of flows expressions, apply to each combinations and can’t seem to get the array objects into one row in excel.  I’m thinking that if I start with a union expression to get the unique Team ID’s and a length expression to count how many rows are found with that same Team ID, then use the Team ID to filter the array and maybe the row count could be used to determine which column to start populating with the values from the first store array and which column to start populating with the values of the second store array, etc. for the 3rd or 4th stores to populate additional columns in that single row. 

See the below table of data and then an example of what I’m trying to get.   

Store ID

Team ID

Address

Suite/Bldg

City

Phone

URL

13548

1

Store1Address

Ste A

Store1City

Store1Phone

Team1URL

64815

1

Store2Address

 

Store2City

Store2Phone

Team1URL

45822

2

Store3Address

Bldg 2

Store3City

Team2Phone

Team2URL

44782

2

Store4Address

 

Store4City

Team2Phone

Team2URL

69732

2

Store5Address

 

Store5City

Team2Phone

Team2URL

87385

3

Store6Address

Unit 5

Store6City

Store6Phone

Team3URL

48676

3

Store7Address

 

Store7City

Store7phone

Team3URL

99949

3

Store8Address

 

Store8City

Store8phone

Team3URL

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Team

First Address (combined with First Ste/Bldg)

First City

First Phone

Second Address (combined with Second Ste/Bldg)

Second City

Second Phone

Third Address (combined with Third Ste/Bldg)

Third City

Third Phone

URL

Team1

Store1Address, Ste A

Store1City

Store1Phone

Store2Address

Store2City

Store2Phone

 

 

 

Team1URL

Team 2

Store3Address, Bldg 2

Store3City

Team2Phone

Store4Address

Store4City

 

Store5Address

Store5City

 

Team2URL

Team 3

Store6Address, Unit 5

Store6City

Store6Phone

Store7Address

Store7City

Store7Phone

Store8Address

Store8City

Store8Phone

Team3URL

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 Here is an example of the above tables as arrays.

_________Original Data___________

[

  {

   

    "Store ID": "13548",

    "Team ID": "1",

    "Address": "Store1Address",

    "Suite/Bldg": "Ste A",

    "City": "Store1City",

    "Phone": "Store1Phone",

    "URL": "Team1URL"

  },

  {

   

    "Store ID": "64815",

    "Team ID": "1",

    "Address": "Store2Address",

    "Suite/Bldg": "",

    "City": "Store2City",

    "Phone": "Store2Phone",

    "URL": "Team1URL"

  },

  {

   

    "Store ID": "45822",

    "Team ID": "2",

    "Address": "Store3Address",

    "Suite/Bldg": "Bldg 2",

    "City": "Store3City",

    "Phone": "Team2Phone",

    "URL": "Team2URL"

  },

  {

   

    "Store ID": "44782",

    "Team ID": "2",

    "Address": "Store4Address",

    "Suite/Bldg": "",

    "City": "Store4City",

    "Phone": "Team2Phone",

    "URL": "Team2URL"

  },

  {

   

    "Store ID": "69732",

    "Team ID": "2",

    "Address": "Store5Address",

    "Suite/Bldg": "",

    "City": "Store5City",

    "Phone": "Team2Phone",

    "URL": "Team2URL"

  },

  {

   

    "Store ID": "87385",

    "Team ID": "3",

    "Address": "Store6Address",

    "Suite/Bldg": "Unit 5",

    "City": "Store6City",

    "Phone": "Store6Phone",

    "URL": "Team3URL"

  },

  {

   

    "Store ID": "48676",

    "Team ID": "3",

    "Address": "Store7Address",

    "Suite/Bldg": "",

    "City": "Store7City",

    "Phone": "Store7phone",

    "URL": "Team3URL"

  },

  {

   

    "Store ID": "99949",

    "Team ID": "3",

    "Address": "Store8Address",

    "Suite/Bldg": "",

    "City": "Store8City",

    "Phone": "Store8phone",

    "URL": "Team3URL"

  }

]

 

_____________Array of combined Stores as teams_________

 

[

  {

  

    "Team": "Team1",

    "First Address (combined with First Ste/Bldg)": "Store1Address, Ste A",

    "First City": "Store1City",

    "First Phone": "Store1Phone",

    "Second Address (combined with Second Ste/Bldg)": "Store2Address",

    "Second City": "Store2City",

    "Second Phone": "Store2Phone",

    "Third Address (combined with Third Ste/Bldg)": "",

    "Third City": "",

    "Third Phone": "",

    "URL": "Team1URL"

  },

  {

   

    "Team": "Team 2",

    "First Address (combined with First Ste/Bldg)": "Store3Address, Bldg 2",

    "First City": "Store3City",

    "First Phone": "Team2Phone",

    "Second Address (combined with Second Ste/Bldg)": "Store4Address",

    "Second City": "Store4City",

    "Second Phone": "",

    "Third Address (combined with Third Ste/Bldg)": "Store5Address",

    "Third City": "Store5City",

    "Third Phone": "",

    "URL": "Team2URL"

  },

  {

   

    "Team": "Team 3",

    "First Address (combined with First Ste/Bldg)": "Store6Address, Unit 5",

    "First City": "Store6City",

    "First Phone": "Store6Phone",

    "Second Address (combined with Second Ste/Bldg)": "Store7Address",

    "Second City": "Store7City",

    "Second Phone": "Store7Phone",

    "Third Address (combined with Third Ste/Bldg)": "Store8Address",

    "Third City": "Store8City",

    "Third Phone": "Store8Phone",

    "URL": "Team3URL"

  }

]

 

 

1 ACCEPTED SOLUTION

Accepted Solutions
v-bofeng-msft
Community Support
Community Support

Hi @blairing26 ,

 

I've made a test for your reference:

vbofengmsft_0-1664763839135.png

vbofengmsft_1-1664763872462.png

vbofengmsft_2-1664763888572.png

1\

item()['Team ID']
2\
union(body('Select'),body('Select'))
3\
item()['Team ID']
4\
items('Apply_to_each')['Team ID']
5\
{
"Team": @{body('Filter_array')?[0]?['Team ID']},
"First Address (combined with First Ste/Bldg)":@{body('Filter_array')?[0]?['Address']},
"First City": @{body('Filter_array')?[0]?['City']},
"First Phone":@{body('Filter_array')?[0]?['Phone']},
"Second Address (combined with Second Ste/Bldg)": @{body('Filter_array')?[1]?['Address']},
"Second City": @{body('Filter_array')?[1]?['City']},
"Second Phone": @{body('Filter_array')?[1]?['Phone']},
"Third Address (combined with Third Ste/Bldg)": @{body('Filter_array')?[2]?['Address']},
"Third City": @{body('Filter_array')?[2]?['City']},
"Third Phone": @{body('Filter_array')?[2]?['Phone']},
"URL": @{body('Filter_array')?[0]?['URL']}
}
Result:
vbofengmsft_3-1664763964176.png

 

Best Regards,
Bof

 

 

View solution in original post

4 REPLIES 4
v-bofeng-msft
Community Support
Community Support

Hi @blairing26 ,

 

I've made a test for your reference:

vbofengmsft_0-1664763839135.png

vbofengmsft_1-1664763872462.png

vbofengmsft_2-1664763888572.png

1\

item()['Team ID']
2\
union(body('Select'),body('Select'))
3\
item()['Team ID']
4\
items('Apply_to_each')['Team ID']
5\
{
"Team": @{body('Filter_array')?[0]?['Team ID']},
"First Address (combined with First Ste/Bldg)":@{body('Filter_array')?[0]?['Address']},
"First City": @{body('Filter_array')?[0]?['City']},
"First Phone":@{body('Filter_array')?[0]?['Phone']},
"Second Address (combined with Second Ste/Bldg)": @{body('Filter_array')?[1]?['Address']},
"Second City": @{body('Filter_array')?[1]?['City']},
"Second Phone": @{body('Filter_array')?[1]?['Phone']},
"Third Address (combined with Third Ste/Bldg)": @{body('Filter_array')?[2]?['Address']},
"Third City": @{body('Filter_array')?[2]?['City']},
"Third Phone": @{body('Filter_array')?[2]?['Phone']},
"URL": @{body('Filter_array')?[0]?['URL']}
}
Result:
vbofengmsft_3-1664763964176.png

 

Best Regards,
Bof

 

 

blairing26
Regular Visitor

Thank you Thank you Thank you!!! I've been trying to figure that out for sooo long.  It is working perfectly.  However, I ran into another problem with the same data source.  In addition to the columns I listed above, there are columns for owners for each store.  There is a primary owner for each location and some with a secondary owner or third owner.  It

Store IDTeam IDOwner1Owner2Owner3
1234533John DoeCathy Smith 
2345633Cathy SmithJohn DoeFred Wilson
3456733Fred Wilson  

 

What I need is a way to get the unique name values from each column for all rows in a group so that the end result would be

Store IDTeam IDOwner1Owner2Owner3
 33Cathy SmithFred WilsonJohn Doe

 

I have tried numerous ways to get the values from the multiple columns AND multiple rows into one row, containing only the unique names from those columns and rows, but nothing has made sense. 

 

I'm open to it being two separate flows that I then combine into one data file... The initial output with the Team ID and the addresses and the second output with the Matching Team ID & the Store Owners.  Thoughts? 

 

 

 

 

Hi @blairing26 ,

 

I really understand that you have more than one issue to be solved today. And I'm surely happy to help you with these, but to better focus on the new problem and ensure the service quality, we would advise you to create one post with one issue.

 

Thanks for your understanding.

 

Best Regards,

Bof

Totally understand!  Thank you.  I'll do that.

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