Azure Stream Analytics no output header in CSV required - azure

We have an ASA job which outputs data every hour to a CSV blob file. However, it also writes a header row which we do not require.
How do I configure ASA job so that the header row is not generated in the output CSV blob file?

From official document, we could find that there is no option for user to configure the output as CSV format without column header row when using Azure Stream Analytics. Is there any special requirement for you to removing the header row in your CSV file? Whether you could change your output format to JSON or Avro? You could provide your detailed requirement, then we could better help you.

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Can we fetch a single row data from csv file in ADLS using Azure data factory

I need to pick a time stamp data from a column ‘created on’ from a csv file in ADLS. Later I want to query Azure SQL DB like delete from table where created on = ‘time stamp’ in ADF. Please help on how could this be achieved.
Here I repro'd to fetch a selected row from the CSV in ADLS.
Create a Linked service and Dataset of the source file.
Read the Data by the Lookup Activity from the Source path.
For each activity iterates the values from the output of Lookup.#activity('Lookup1').output.value
Inside of For Each activity use Append Variable and set Variable Use value for append variable from the For each item records.
Using it as Index variable.
Use script activity to run query and reflect the script on the data.
Delete FROM dbo.test_table where Created_on = #{variables('Date_COL3')[4]}

Cannot convert excel to csv : Azure Synapse Analytics

I want to convert Excel to CVS in Azure Synapse Analytics but I got an error.
The error message is "Invalid excel header with empty value".
The Excel file I want to convert looks like this (created for the question) and I need to remove the blank column A when converting to csv.
I have never used ADF before so I don't know.
Can someone please tell me how to do this?
Any help would be appreciated.
sample.excel
You have to use dataflows to do that in ADF.
First create a linked service for your source data set.
Create linked service for your target folder.
My input looks like this (took from your attached sheet)
Go to the author tab of data factory and select on new dataflow.
Source settings should look like this
Source options: Point to the location where you have stored excel sheet and also select the sheetname, in my case it is sheet1 (For this example I have used Azure Blob storage)
Keep rest of the tabs as default and add a sink to your data flow.
Sink Settings should look like below
Point to the target location where you want to store your csv file (I have used Azure blob storage). Keep rest of the things on default
Go to the new pipeline and pull dataflow activity in your canvas and trigger your dataflow.
And my output in csv looks like this

Apply transformation on CSV file columns without using array in Logic apps

I need to apply some transformation for CSV file format content with 40+ columns.
Is there way to apply transformation without converting the content to array format.
If I am using select activity I need to pass 40 columns as well with headers hard coded.
Please suggest if any other possible option is available.
Below are the steps I am using now.
One of the workaround could be possible we can use Parse csv activity instead of that .Select all the headers that are present in your csv file
as shown below:
For more information please refer the below links:
How to parse a CSV file using Microsoft Power Automate or Azure Logic Apps| BLOG
Perform data operations in Azure Logic Apps| MS DOC

Issue with CSV as a source in datafactory

I have a CSV
"Heading","Heading","Heading",LF
"Data1","Data2","Data3",LF
"Data4","Data5","Data6",LF
And for the above CSV row limiter is LF
Issue is last comma. When I try to preview data after setting first column as heading and skip rows as 0 in source of copy activity in data factory, it throws error stating last column is null.
If I remove last comma.ie
"Heading","Heading","Heading"LF
"Data1","Data2","Data3"LF
"Data4","Data5","Data6"LF
It will work fine.
It's not possible to edit CSV as each CSV may contain 500k records.
How to solve this?
Addition details:
CSV i am uploadingenter image description here
My azure portal setting
enter image description here
Error message on preview data
enter image description here
if i remove the first row as header i could see an empty column
enter image description here
Please try to set Row delimiter as Line Feed(\n).
I tested your sample csv file and it works fine.
output:
I tried to create the same file with you and reproduce your issue.It seems the check mechanism of adf. You need to remove the first row as header selection to escape this check. If you do not want to do that, you have to preprocess your CSV files.
I suggest you below two workarounds.
1.Use Azure Function Http Trigger. You could pass the CSV file name as parameter into Azure Function.Then use Azure Blob Storage SDK to process your csv file to cut the last comma.
https://learn.microsoft.com/en-us/azure/azure-functions/functions-bindings-http-webhook
2.Use Azure Stream Analytics. You could configure your blob storage as input and create another container as output. Then use SQL query to process your CSV data.
https://learn.microsoft.com/en-us/azure/stream-analytics/stream-analytics-quick-create-portal

Save Azure blob storage filename to Sql table - Azure Data Factory

I have a sales-2016-01.txt file which I upload once monthly to the Azure blob storage. I want to process the sales-2016-01.txt file and save them to sql table. In addition to this I want to store the name of the file against each record in a separate column say ImportFileName. This is to track the record, from which file it was imported.
The filename will be dynamic based on the year and month.
I am using Azure Data Warehouse for storing the data.
It is an old question, but just for the record, in DF v2 in Copy Data activity, it is possible to add a new column to the source with value $$FILEPATH, and then each record will have a name of the input file.
You can following the MS sample to achieve this. You might need to modify a bit on the input dataset part in that sample since you only need the filename to be stored in the target table.

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