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Gérale-Récolte
Frequent Visitor

Apply a transformation on one table based on the content on other table : seeking a performant sol°

Hi Power BI community !

 

I need help on a power query script I have created for transforming one of my table in a dataflow.

Context

I have two tables :

  • transaction ; this table contains the list of transactions generated by my activity. For each transaction, I have several transaction_items each of them having transaction_item_amount data that contains the price for the item
  • lien_transac_remises ; this table contains a list of discounts that have been applied on our products. Each line makes the link between transaction_item_id and the discount (decimal number between 0 and 1). Note that one product can be applied several discounts (no real limit)

What I'm trying to achieve

I want to recalculate the transaction_item_amount with the discount(s) applied on it. So I replace the content with the discounted content.

How I did it

For now, here is the power query M script I did (it also does several other transformations but the most interesting part is the second part of the file) :

let

Source = transactions,

NoIntermag = Table.SelectRows(Source, each [transaction_sub_type] <> "intermagasin"),

OnlyVentes = Table.SelectRows(NoIntermag, each [transaction_type] = "vente"),

Ventes = Table.SelectRows(OnlyVentes, each [shop_go_id] <> "632c5c860078140014ced90e"),

#"Remove columns" = Table.RemoveColumns(

Ventes,

Table.ColumnsOfType(

Ventes, {type table, type record, type list, type nullable binary, type binary, type function}

)

),

#"Inserted conditional column" = Table.AddColumn(

#"Remove columns",

"Client encarté",

each if [customer_go_id] = null then false else if [transaction_sub_type] = "bon_de_commande" then false else true

),

ChangeTypeClientEncarte = Table.TransformColumnTypes(

#"Inserted conditional column", {{"Client encarté", type logical}}

),




CalculMontantRemiseIncluse = Table.FromRecords(

Table.TransformRows(

ChangeTypeClientEncarte,

(row) =>

Record.TransformFields(

row,

{

{

"transaction_item_amount",

each

let

transactionItemId = row[transaction_item_id],

listeRemises = Table.SelectRows(

lien_transac_remises, each [transaction_item_id] = transactionItemId

),

remisesAppliquees = Table.Column(listeRemises, "Pourcentage_de_remise"),

//calculMontantRemise = Number.Round(montantInitial * List.Product(remisesAppliquees), 2),

calculMontantRemise = Number.Round(

List.Accumulate(remisesAppliquees, _, (acc, remise) => acc * (1 - remise)), 2

),

montantRemise = if calculMontantRemise is null then 0 else calculMontantRemise

in

montantRemise

}

}

)

),

Value.Type(ChangeTypeClientEncarte)

),

MontantRemiseIncluse = Table.TransformColumnTypes(

CalculMontantRemiseIncluse, {"transaction_item_amount", type number}

)

in

MontantRemiseIncluse

My issue

This code seems to work. But it's TERRIBLY low. I launched the dataflow update yesterday evening and it hasn't finished yet 😭

I assume the issue lies in the request I do to the lien_transac_remises table from the transaction table (with selectRows). But I'm not sure and I NEED YOUR HELP !

1 REPLY 1
lbendlin
Super User
Super User

Do you have to do that in Power Query?  Will be much simpler to do that in the data model in Power BI.

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