Azure Data Factory DataFlow exclude 1 column from expression columns() - azure

I'm looking for a solution for the following problem.
I've created the following expression in a Derived Column in Azure Data Factory DataFlow
md5(concatWS("||", toString(columns())))
But from the above expression column() I want to extract 1 Column.
so something like this md5(concatWS("||", toString(columns()-'PrimaryKey'))). I cannot exclude the primary key column with a select in front of the derived because I need it in a later stage.
So in Databricks i'm executing the following, but I want to achieve this as well in ADF
non_key_columns = [column for column in dfsourcechanges.columns if column not in key_columns]
Are there any suggestions, how I can solve this

You can try to use byNames function to do this. Create an array and add all your column names into it except 'PrimaryKey'. Then pass it to byNames function as first parameter. Something like this expression:md5(concatWS("||", toString(byNames(['yourColumn1','yourColumn2',...]))))

Related

Can we get an average in row wise for multiple columns in Dataflow ADF?

Please refer the pic, I have to do that same thing but using dataflow
Create Derived column activity this activity helps you to create a new column trough data flow, give column name what you want and in expression give.
(col1+col2+col3)/3
OUTPUT

Passing the Dataflow Parameter to Sink Key column in Azure Data factory

I wanted to implement SCD type 2 logic but using dynamic tables and dynamic key fields from Config Table, I have a challenge to pass the Data Flow Parameter as Sink Key Column for my Alter Row activity, it is not taking the parameter values and always gives the error as invalid key column name, I tried picking the Dataflow parameter for the expression builder at sink key column and trying to pass the value from alter row transformation and I have named the field with parameter in the select statement as well , any help or suggestion highly appreciated
Please clink below image
Sample How I wanted to Pass Dynamic Values in Sink Mapping
Trying to Give the Dynamic Value to Key Value
You have "List of columns" selected, so ADF is looking for a column in your target table that is literally called "$TargetPK1Parameter".
Change the selector to "Custom expression" and enter a string array parameter. The parameter can be an array of strings that represent names of key columns in your target table.
It should look something like this:
I encountered a similar problem when trying to pass a composite key, parameterized, as part of the update method to sink. This now allows me to fully parameterise my dataflow and it handles both composite keys and single columns keys.
Here's how the data looks in my config table:
UpsertKeyColumn = DOMNAME,DDLANGUAGE,AS4LOCAL,VALPOS,AS4VERS
A parameter value is set in the dataflow
Upsert_Key_Column = #item().UpsertKeyColumn
Finally, in the Sink settings, Custom Expression is selected for Key columns and the following expression is entered - split($upsert_key_column,',')

Azure Data Factory - Exists transformation in Data Flow with generic dataset

I'm having issues using the Exists Transformation within a Data Flow with a generic dataset.
I have two sources (one from staging table "sourceStg", one from DWH table "sourceDwh") and want to compare if the UniqueIdentifier-Column in the staging table is existing in the UniqueIdentifier-Column in the DWH table. For that I have a generic data set which I query with a SQL statement containing parameters.
When I open the "Exists settings" I cannot choose any Column from the source in the conditions since the source is generic and has no Projection until I run the data flow. However, I have a parameter which I get from the parent pipeline which provides me the name of the Column containing the UniqueIdentifier (both column names in staging / DWH are the same).
I tried to add following statement "byName($UniqueIdentifier)" in the left and right column field but the engine resolves them both as the sourceStg-Column since the prefix of the source-transformations is missing and it defaults to the first one. What I basically now try to achieve is having some statement as followed defining the correct source-transformation and the column containing the unique identifier with a parameter.
exists(sourceStg#$UniqueIdentifier == sourceDwh#$UniqueIdentifier)
But either the expression cannot be parsed or the result does not retrieve the actual UniqueIdentifier value from the column but writes the statement (e.g. sourceStg#$UniqueIdentifier) as column value.
The only workaround I found so far is having two derived columns which adds a suffix to the UniqueIdentifier-Column in one source and a new parameter $UniqueIdentiferDwh which is populate with the parameter $UniqueIdentifier and the same suffix as used in the derived column.
Any Azure Data Factory experts out there to help?
Thanks in advance!

How do we create a generic mapping dataflow in datafactory that will dynamically extract data from different tables with different schema?

I am trying to create a azure datafactory mapping dataflow that is generic for all tables. I am going to pass table name, the primary column for join purpose and other columns to be used in groupBy and aggregate functions as parameters to the DF.
parameters to df
I am unable to refernce this parameter in groupBy
Error: DF-AGG-003 - Groupby should reference atleast one column -
MapDrifted1 aggregate(
) ~> Aggregate1,[486 619]
Has anyone tried this scenario? Please help if you have some knowledge on this or if it can be handled in u-sql script.
We need to first lookup your parameter string name from your incoming source data to locate the metadata and assign it.
Just add a Derived Column previous to your Aggregate and it will work. Call the column 'groupbycol' in your Derived Column and use this formula: byName($group1).
In your Agg, select 'groupbycol' as your groupby column.

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I want to write a generic DataFactory in V2 with below scenario.
Source ---> Extracted (Salesforce or some other way), which don't have
extraction timestamp. ---> I want to write it to Blob with extraction
Time Stamp.
I want it to be generic, so I don't want to give column mapping anywhere.
Is there any way to use expression or system variable in Custom activity to append a column in output dataset? I like to have a very simple solution to make implementation realistic.
To do that you should change the query to add the column you need, with the query property in the copy activity of the pipeline. https://learn.microsoft.com/en-us/azure/data-factory/connector-salesforce#copy-activity-properties
I dont know much about Salesforce, but in SQL Server you can do the following:
SELECT *, CURRENT_TIMESTAMP as AddedTimeStamp from [schema].[table]
This will give you every field on your table and will add a column named AddedTimeStamp with the CURRENT_TIMESTAMP value in every row of the result.
Hope this helped!

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