How to Append Files with Azure Data Factory - azure

I have tried Flatten Hierarchy, Merge Files and Preserve Hierarchy in my attempts to Append or Merge files with Data Factory, but it will neither Append or Merge
The Sink looks like the following:
Can someone let me know how to configure Data Factory to merge files please

To merge the files, use the copy activity after the ForEach loop.
First copy the individual files from REST to ADLS folder using the above loop. Then use another copy activity with source (give the datasets folder path).
Use Wildcard path. Here I have used csv for sample.
Now in sink, use merge option.
files with same structure from REST API copied to ADLS folder.
Final csv file after merging.

Related

ADF Copy Activity problem with wildcard path

I have a seemingly simple task to integrate multiple json files that are residing in a data lake gen2
The problem is files that need to be integrated are located in multiple folders, for example this is a typical structure that I am dealing with:
Folder1\Folder2\Folder3\Folder4\Folder5\2022\Month\Day\Hour\Minute\ <---1 file in Minute Folder
Than same structure for 20223 year, so in order for me to collect all the files I have to go to bottom of the structure which is Minute folder, if I use wildcard path it looks like this:
Wildcard paths 'source from dataset"/ *.json, it copies everything including all folders, and I just want files, I tried to narrow it down and copies only first for 2022 but whatever I do is not working in terms of wildcard paths, help is much appreciated
trying different wildcard combinations did not help, obviously I am doing something wrong
There is no option to copy files from multiple sub- folders to single destination folder. Flatten hierarchy as a copy behavior also will have autogenerated file names in target.
image reference MS document on copy behaviour
Instead, you can follow the below approach.
In order to list the file path in the container, take the Lookup activity and connect to xml dataset with HTTP linked service.
Give the Base URL in HTTP connector as,
https://<storage_account_name>.blob.core.windows.net/<container>?restype=directory&comp=list.
[Replace <storage account name> and <container> with the appropriate name in the above URL]
Lookup activity gives the list of folders and files as separate line items as in following image.
Take the Filter activity and filter the URLs that end with .json from the lookup activity output.
Settings of filter activity:
items:
#activity('Lookup1').output.value[0].EnumerationResults.Blobs.Blob
condition:
#endswith(item().URL,'.json')
Output of filter activity
Take the for-each activity next to filter activity and give the item of for-each as #activity('Filter1').output.value
Inside for-each activity, take the copy activity.
Take http connector and json dataset as source, give the base url as
https://<account-name>.blob.core.windows.net/<container-name>/
Create the parameter for relative URL and value for that parameter as #item().name
In sink, give the container name and folder name.
Give the file name as dynamic content.
#split(item().name,'/')[sub(length(split(item().name,'/')),1)]
This expression will take the filename from relative URL value.
When the pipeline is run, all files from multiple folders got copied to single folder.

How to identify and copy the most recently added files in Azure Data Factory when there are multiple sub-folders?

The way folders are structured in DF is something like this:
Parentfolder/Subfolder1/Subfolder12/Subfolder13/File1
Parentfolder/Subfolder2/Subfolder22/Subfolder23/File2
Parentfolder/Subfolder3/Subfolder32/Subfolder33/File3
The Goal is create a pipeline that can identify the file that was most recently added under the Parentfolder and copy only that file and move to Sink. This may require multiple nested pipelines & foreach loops but I have not been able to get to a solution.
In order to copy the last modified file from a folder you can follow the steps described in this thread - ADF: copy last modified blob
If you are having multiple subfolders under a parent folder and you want to copy the latest file from each subfolder, then you will have to use a parent pipeline in which you use GetMetaData activity to get the list of subfolders and then pass the output to a subsequent ForEach activity to iterate through the list of sub folder names and then inside ForEach activity have an Execute pipeline activity which will execute the copy the last modified pipeline for each subfolder.
Below GIF is just to copy last modified file from a folder:
This topic is being discussed here as well: https://learn.microsoft.com/answers/questions/379892/index.html

How to Export Multiple files from BLOB to Data lake Parquet format in Azure Synapse Analytics using a parameter file?

I'm trying to export multiples .csv files from a blob storage to Azure Data Lake Storage in Parquet format based on a parameter file using ADF -for each to iterate each file in blob and copy activity to copy from src to sink (have tried using metadata and for each activity)
as I'm new on Azure could someone help me please to implement a parameter file that will be used in copy activity.
Thanks a lot
If so. I created simple test:
I have a paramfile contains the file names that will be copied later.
In ADF, we can use Lookup activity to the paramfile.
The dataset is as follows:
The output of Lookup activity is as follows:
In ForEach activity, we should add dynamic content #activity('Lookup1').output.value. It will foreach the ouput array of Lookup activity.
Inside ForEach activity, at source tab we need to select Wildcard file path and add dynamic content #item().Prop_0 in the Wildcard paths.
That's all.
I think you are asking for an idea of ow to loop through multiple files and merge all similar files into one data frame, so you can push it into SQL Server Synapse. Is that right? You can loop through files in a Lake by putting wildcard characters in the path to files that are similar.
Copy Activity pick up only files that have the defined naming pattern—for example, "*2020-02-19.csv" or "???20210219.json".
See the link below for more details.
https://azure.microsoft.com/en-us/updates/data-factory-supports-wildcard-file-filter-for-copy-activity/

Azure Data Factory - Recording file name when reading all files in folder from Azure Blob Storage

I have a set of CSV files stored in Azure Blob Storage. I am reading the files into a database table using the Copy Data task. The Source is set as the folder where the files reside, so it's grabbing it's file and loading it into the database. The issue is that I can't seem to map the file name in order to read it into a column. I'm sure there are more complicated ways to do it, for instance first reading the metadata and then read the files using a loop, but surely the file metadata should be available to use while traversing through the files?
Thanks
This is not possible in a regular copy activity. Mapping Data Flows has this possibility, it's still in preview, but maybe it can help you out. If you check the documentation, you find an option to specify a column to store file name.
It looks like this:

Specify the filename of the CSV inside the zip file on Azure Data Factory Copy

I have created a pipeline in Azure Data Factory using the Copy Data functionality.
It is copying a view from Azure SQL to a CSV file on a Blob Storage. I have chosen to Zip the file and name it Output_{year}{month}{day}.zip.
Everything is working perfectly, however the content of the zip file contains the csv which has a GUID for a filename. How can I make it so that the filename inside the zip is: Output_{year}{month}{day}.csv?
For your case, currently there is no option in ADF to customize the file name inside the generated zip file.
One possible trick is you can use two copy activities, the 1st one copy to Output_{year}{month}{day}.csv, the 2nd one copy from that file to Output_{year}{month}{day}.zip with "copyBehavior" set to "PreserveHierarchy" (default).

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