I have a data set that resides under a folder path where the date is dynamic (e.g. rootfolder/subfolder/yyyy/mm/dd/subfolder/subfolder), and I am trying to pull it with a copy activity. So far I cannot get Data Factory to recognize that my date is dynamic...
This is the code that I have tried so far:
["rootfolder/subfolder/subfolder/subfolder/subfoler/#{formatDateTime(utcnow(),'yyyy')}/#{formatDateTime(utcnow(),'MM')}/#{formatDateTime(utcnow(),'dd')}/subfolder/file"]
You need to make use of concat function provided by data factory.
#concat('rootfolder/subfolder/subfolder/subfolder/subfolder/',formatDateTime(utcnow(),'yyyy'),'/',formatDateTime(utcnow(),'MM'),'/',formatDateTime(utcnow(),'dd'),'/subfolder/file')
The concat function is similar as in programming languages which concats the strings.
More details: Azure Data Factory Loop Through Files
Just to build pm Anish K answer you can also shorten this a bit by using formatting
formatDateTime(utcnow(),'yyyy/MM/dd')
So final answer would be
#concat('rootfolder/subfolder/subfolder/subfolder/subfolder/',formatDateTime(utcnow(),'yyyy//MM/dd'),'/subfolder/file')
In case you want to learn a bit more on parametrization on ADF feel free to check out this video https://youtu.be/pISBgwrdxPM
Related
I have a CSV File in the Following format which want to copy from an external share to my datalake:
Test; Text
"1"; "This is a text
which goes on on a second line
and on on a third line"
"2"; "Another Test"
I do now want to load it with a Copy Data Task in an Azure Synapse Pipeline. The result is the following:
Test; Text
"1";" \"This is a text"
"which goes on on a second line";
"and on on a third line\"";
"2";" \"Another Test\""
So, yo see, it is not handling the Multi-Line Text correct. I also do not see an option to handle multiline text within a Copy Data Task. Unfortunately i'm not able to use a DataFlow Task, because it is not allowing to run with an external Azure Runtime, which i'm forced to use, due to security reasons.
In fact, i'm of course not speaking about this single test file, instead i do have x thousands of files.
My settings for the CSV File look like follows:
CSV Connector Settings
Can someone tell me how to handle this kind of multiline data correctly?
Do I have any other options within Synapse (apart from the Dataflows)?
Thanks a lot for your help
Well turns out this is not possible with a CSV File.
The pragmatic solution is to use "binary" files instead, to transfer the CSV Files and only load and transform them later on with a Python Notebook in Synapse.
You can achieve this in azure data factory by iterating through all lines and check for delimiter in each line. And then, use string manipulation functions with set variable activities to convert multi-line data to a single line.
Look at the following example. I have a set variable activity with empty value (taken from parameter) for req variable.
In lookup, create a dataset with following configuration to the multiline csv:
In foreach, where I iterate each row by giving items value as #range(0,sub(activity('Lookup1').output.count,1)). Inside for each, I have an if activity with following condition:
#contains(activity('Lookup1').output.value[item()]['Prop_0'],';')
If this is true, then I concat the current result to req variable using 2 set variable activities.
temp: #if(contains(activity('Lookup1').output.value[add(item(),1)]['Prop_0'],';'),concat(variables('req'),activity('Lookup1').output.value[item()]['Prop_0'],decodeUriComponent('%0D%0A')),concat(variables('req'),activity('Lookup1').output.value[item()]['Prop_0'],' '))
actual (req variable): #variables('val')
For false, I have handled the concatenation in the following way:
temp1: #concat(variables('req'),activity('Lookup1').output.value[item()]['Prop_0'],' ')
actual1 (req variable): #variables('val2')
Now, I have used a final variable to handle last line of the file. I have used the following dynamic content for that:
#if(contains(last(activity('Lookup1').output.value)['Prop_0'],';'),concat(variables('req'),decodeUriComponent('%0D%0A'),last(activity('Lookup1').output.value)['Prop_0']),concat(variables('req'),last(activity('Lookup1').output.value)['Prop_0']))
Finally, I have taken copy data activity with a sample source file with 1 column and 1 row (using this to copy our actual data).
Now, take source file configuration as shown below:
Create an additional column with value as final variable value:
Create a sink with following configuration and select mapping for only above created column:
When I run the pipeline, I get the data as required. The following is an output image for reference.
I'm a bit new to azure data factory so apologies if I'm missing anything obvious. I've done several searches and I can't find anything that quite fits.
So the situation is that we have an existing pipeline that will take the path to a csv file and pass this in as a delimited data set. As a sink it is using a parquet data set. This is a generic process that we can pass any delimited file into and it will output it as parquet.
This has been working well but now we have started receiving files with spaces and special characters in the header which causes the output to parquet to fail. Unfortunately we don't have control over the format of the files we receive so I can't handle this at source.
What I would like to do is on ingestion of the file replace any spaces and other special characters in the header with an underscore. If I were doing this on premise I could quickly create a powershell script to do it. I had thought about creating a custom task in AFD to call a powershell script to do this in the blob storage but that seems more complicated than it should be. Is there something else I can do to get this process working while keeping it generic?
As #Joel Cochran mentioned, you can use the below expression in Select transformation to replace space and special characters in the header.
regexReplace($$,'[^a-zA-Z]','_')
Source:
In Select transformation, remove the auto mappings and add new rule base mapping to use this expression.
preview:
You can change the output filename not directly in the Copy activity, assuming you are using this activity.
The workaround is to use a parameter for the filename output that you can cleanup.
You can use the Get Metadata activity to get all filenames from the source csv files.
Then loop over these files with a foreach activity.
Within the foreach activity you can set the output filename with the new name with the cleaned value.
The function could look like this:
#replace(item().name, ' ', '_')
More information on the replace function
i'm tryimg to loop over a diffrent countries folder that got fixed sub folder named survey (i.e Spain/survey , USA/survey ).
where and how I Need to define a wildcard / parameter for the countries so I could loop over all the files that in the survey folder ?
what is the right wildcard syntax ? ( the equivalent of - like 'survey%' in SQL) ?
I tried several ways to define it with no success and I would be happy to get some help on this - Thanks !
In case if the list of paths are static, you can create a parameter or add it in a SQL database and get that result from a lookup activity.
Pass the output to a for each activity and within foreach activity use a copy activity.
You can parameterize the input dataset to get the file paths thereby you need not think of any wildcard characters but use the actual paths itself.
Hope this is helpful.
I am unable to copy csv files from an SFTP connection to blob storage when using the wildcard(*) in the filename.
More specifically, I receive csv files in the SFTP on a daily basis, and they are of the format: "ddMMyyyyxxxxxx.csv", where "xxxxxx" is the timestamp. More concretely, my csv file for the 13th of March is: "13032019083647.csv", while for the 14th of March: "14032019083556.csv". Obviously, the timestamp is different for every day, thus I want to copy the file independently of whatever strings exists between the date and the the file extenstion.
In the "File" subfield of the "File path" of the "Connection" tab of my subset, I give as input: "13032019*.csv", as instructed by the help icon next to the field:
When I do so, my Debug run fails with:
{"errorCode": "2200", "message":
"ErrorCode=UserErrorInvalidCopyBehaviorBlobNameNotAllowedWithPreserveOrFlattenHierarchy,'Type=Microsoft.DataTransfer.Common.Shared.HybridDeliveryException,Message=Cannot
adopt copy behavior PreserveHierarchy when copying from folder to a
single file.,Source=Microsoft.DataTransfer.ClientLibrary}
I receive a similar error no matter which type of copy behaviour I choose. I have also tried experimenting with the fileFilter parameter (even though ADF warns that the same behaviour can be achieved with the fileName option), but I still end up getting the same error.
For further clarification, I am attaching the Code segment that ADF produces for this configuration:
I should also mention, that when using the full fileName in the corresponding field, namely the value: "13032019083647.csv", copying works normally.
Any help would be greatly appreciated!
My guess it might get two files with wildcard operation.
In such cases we need to use metadata activity, filter activity and for-each activity to copy these files.
1.Metadata activity : Use data-set in these activity to point the particular location of the files and pass the child Items as the parameter.
2.Filter activity : Use filter to filter the files based on your needs.
3.For-each activity : In the For-each activity get Items from the previous activity and add copy activity inside the for-each.
In copy activity the source data set should be #item().name.
I hope this will solve your issue.
What worked for me was the following: I kept the same regex for the input file, but I defined as "Copy behaviour: Merge Files". Since as mentioned, there is only 1 file that satisfies the regex condition, only 1 file was created as output. I am aware that this is a sort of "dirty" solution, but it did the trick for me.
I am using Data Factory v2 and I currently have a simple copy activity which copies files from an FTP server to blob storage. The file names on this server are of the following form :
File_{Year}{Month}{Day}.zip
In order to download the most recent file I add this filter to my input dataset json file :
"fileName": {
"value": "#concat('File_',formatDateTime(utcnow(), 'yyyyMMdd'), '.zip')",
"type": "Expression"
}
I now want to be able to download yesterday's file which is possible using adddays().
However I would like to be able to do this in the same copy activity and it seems that Data Factory v2 does not allow me to use the following kind of regular expression logic :
#concat('File_',formatDateTime(utcnow(), 'yyyyMMdd'), '.zip') || #concat('File_', formatDateTime(adddays(utcnow(), -1), 'yyyyMMdd'), '.zip')
Is this possible or do I need a separate activity ?
It would seem strange to need a second activity since a Copy Activity can only take a single input but if the regex is simple enough, then multiple files are treated as a single input and if not then multiple files are treated as multiple inputs.
The '||' won't work since it will be evaluate as a single string.
But I can provided two solutions for this.
using a tumbling window daily trigger and set the start time as yesterday. So it will trigger two pipeline run.
using Foreach activity + copy activity. The foreach activity iterate an array to pass the yesterday and today to the copy activity.
Btw, you could just use string interpolation expression instead of concat. They are the same.
File_#{formatDateTime(utcnow(), 'yyyyMMdd')}.zip
I would suggest you to read about get metadata activity. This can be helpful in your scenario I think.
https://learn.microsoft.com/en-us/azure/data-factory/control-flow-get-metadata-activity
You have itemName property, lastModified property, check it out.