'pickAndStore' method allows me to specify full path to the file, but I don't know it's extension at this point (file path has to be defined before file is uploaded, so it's not possible to provide a path with correct extension).
if I use 'pick' and then 'store' I have 2 files (because both methods uploads file to the s3). I can delete 'old' file, but it's not optimal and can be pain (take ages) with really big files.
Is there any better solution? Ideally to rename existing file.
Currently, there is no workaround for renaming file.
However, in our Javascript API v2 we are planing to add new callback function. onStart callback will be fired after user pick file but before file uploading. There could be option like renaming file based on original filename.
We will keep you updated.
Related
I hope you guys keep health and keep strong in Pandemic covid-19.
I have some question on Azure Data Factory. btw I have create some pipeline with Metadata activity with detail below:
I have file in Folder and Subfolder like this:
I have metadata activity with for each with first get metadata child item (in folder) like this:
metadata with last modified like this (if you setting like this, metadata only read last modified subfolder
after that add variable I use #item().Name to read file in that folder like this:
after running metadata which have subfolder, I've get error like this:
the error give info that with #item().Name cannot read subfolder on that folder. the metadata for each file is success, but error like this which on my activity cannot read metadata subfolder .
many big thanks to have answer, Thank You
If you need to access the folder
Create a clone of same dataset and setup parameter as below, leave the file field empty.
If you need to access the file inside directory, use condition #equals(item().type,'Folder') to identity directory then inside that use dataset with parameters for directory and file.
I am trying to create a new dataset in ADF that looks for csv files that meet a certain naming convention. These files are located within a series of different folders in my Azure Blob Storage.
For instance, in the sample directory below, I am trying to pull out csv files that contain the word "cars".
Folder A
fastcars.csv
fasttrucks.csv
Folder B
slowcars.csv
slowtrucks.csv
Ideally , I would end up with the files "slowcars.csv" and "fastcars.csv". I've seen examples out there were people were able to wildcard the file name. I have been playing around with that, but have had no luck. (See image below for one example of what I have been doing).
Is what I am trying to do even possible? Would appreciate any advice you guys may have. Please let me know if I can provide further clarification.
According to the description of filename in this documentation,
The file name under the given fileSystem + folderPath. If you want to
use a wildcard to filter files, skip this setting and specify it in
activity source settings.
so you need to specify it in activity not in file path.
A easy sample in copy activity:
Hope this can help you.
I'm writing a spring-batch application with spring-boot support and I'm looking for a way to know which files were generated by MultiResourceItemWriter. The first solution I have in mind is to have a folder for only the files generated and check the content, but if there is something already implemented on spring-batch would be great!
The intention is to encrypt and then upload each file to an sftp server.
The file names generated by the MultiResourceItemWriter are the combination of the resource name + the suffix created by the ResourceSuffixCreator. For example, if you create the writer like the following:
MultiResourceItemWriter<String> writer = new MultiResourceItemWriter<>();
writer.setResource(new FileSystemResource(new File("data.txt")));
writer.setResourceSuffixCreator(index -> "part" + index);
Then the generated files will be data.txt.part1, data.txt.part2, etc.
MultiResourceItemWriter doesn't perform write directly but delegate this job to other components.
All those components are ResourceAwareItemWriterItemStream implementors so you may write a ResourceAwareItemWriterItemStreamDelegate, intercept setResource() method and store resource into current step execution-context as a collection.
If you want to pass this list of resources to next steps you may use an ExecutionContextPromotionListener.
I have a txt file that is holding a string inside, I want to be able to use this string in one of my scripts, so I'm wondering if there is a way to set the content of the file as one of the build properties or parameters which I'll be able to use in my scripts it should be the same as using one of the build environment properties.
For example : ${JOB_NAME} which is holding the the job name, so in the same way I want to access the content of the file which is holding some value inside.
Is it possible?
You can upload a file from your computer to the workspace through the File parameter of the job.
You can use Extended Choice plugin parameter, to read value(s) from a file and display them in a dropdown/radio-button/checkbox for the user to select, dynamically, every time the build is triggered.
You can use EnvInject plugin to read value(s) from a file and inject them into the build as environment variables, so that they can be used by the rest of the build steps/scripts.
Your question is very unclear on what your are trying to do. Pick one of the 3 methods above based on what you need, or clarify your question.
I'm evaluating the InkFilePicker service. How do I make sure that uploading a new file to my S3 bucket won't overwrite an existing file with an identical name already in that bucket?
I'm currently using another third party upload solution that allows me to rename a file with a GUID as its file name to prevent such accidental overwrite situations.
How do rename files using InkFilePicker? Or what is the right approach with InkFilePicker to prevent unintended overwrites?
Thanks,
Sam
Looks like InkFilePicker prepends a unique key to file name during upload.
myfile.pdf becomes something like DNjimbeSQWVrcd0Uv8lJ_myfile.pdf when it's saved on Amazon S3 so it inherently prevents overwrites.