I have to extract only "daily" files from a folder in my C: drive into azure data factory but there are "weekly" files that I don't want to extract. Also, I can't separate the two files in different onprem folders. I have to do this for a client but first I'm practicing on my own computer. Here is the onprem folder that I'm referring to. So the ultimate goal is to only transfer the "daily" files out of the folder and into azure data factory
As suggested by #Scott Mildenberger in comments as your files have similar naming convention you can use wildcard file path to filter files with name.
Sample data
Dataset settings
Source Setting
In file path type select wildcard file path and give daily* It will filter all the files from folder with files contains daily.
Output
Related
How to read files from a subfolder present under nested parent folder using azure data factory?
Container/ABC/Transcation/07654/Audit/Report.csv
Container/CDF/Transcation/07654/Audit/Tranfee/report0910201.csv
Container/FGS/Transcation/07654/Audit/custom/report08092021.csv
I want to retrieve all the files(including the files under subfolder) Under the Audit folder.
While creating dataset specify the folder path.
In source configuration enable Recursively option.
Right now I can copy a single file to a different location but is there a way to copy the entire contents of a folder to a different location.
In firebase-storage there is no concept of folder. There's the concept of reference e.g. "images/mountains.png" which you may have misinterpreted it as folder.
In order to copy all the content of similar references, you need to list all the files, then move the desire list of files over to new reference e.g. "archive/mountains.png"
This post may be useful
How to get a list of all files in Cloud Storage in a Firebase app?
I am trying to copy data from one container in Azure Data lake Gen2 into another in the same Storage Account. I want preserve the same hierarchy with folders and subfolders but whatever I try it does only copy the json file and no folders.
As of now I have the target container set in the target dataset. Should I add something more (such as directory and file)?
I have tested this for you and it can work, please follow this:
1.My container's structure:
examplecontainer
+test
+re
json files
+pd
json files
Setting of Source in Copy activity:
3.Setting of Sink in Copy activity:
4.Result:
I am trying to process multiple excel files in ADF to utilize them in a copy data activity to blob storage. Here is how my hierarchy is structured :
My source is an excel sheet coming from SFTP server (linked service).
File path: unnamed folder with multiple .xlsx files. Inside those files, the sheet name varies between sheet1 and table1.
I am trying to create get metadata to get all those files to pass them into a copy activity, but my metadata is never succeeding
Attached below is an elaboration about the problem:
If you only want to copy all excel files from SFTP to Blob Storage, there is no need to use Get Metadata activity.
Please try like this:
1.create binary format dataset
2.choose Wildcard file path when copy data
3.sink to your Blob Storage.
I have one folder in adls gen2 say it as mysource1 folder .. which has 100's of subfolder s and each subfolder again contains folders and many files ..
How can I copy all of the folders and files in mysource1 using azure data factory ..
You could use binary as source format. It will help you copy all the folders and files in source to sink.
For example: this is my container test:
Source dataset:
Sink dataset:
Copy active:
Output:
You can follow my steps.
use ingest tab on ADF Home page, there you could specify source location using linked service and target location