1. Curl Multiple Files

I am using cURL (first time using this) to download files from ftps site from the command line. This is what i need to do: Download multiple files from the ftps site. I am using cURL (first time using this) to download files from ftps site from the command line. This is what i need to do: Download multiple files from the ftps site.

I would like to use cURL to not only send data parameters in HTTP POST but to also upload files with specific form name. How should I go about doing that? HTTP Post parameters: userid = 12345 filecomment = This is an image file HTTP File upload: File location = /home/user1/Desktop/test.jpg Form name for file = image (correspond to the $FILES'image' at the PHP side) I figured part of the cURL command as follows: curl -d 'userid=1&filecomment=This is an image file' -data-binary @'/home/user1/Desktop/test.jpg' localhost/uploader.php The problem I am getting is as follows: Notice: Undefined index: image in /var/www/uploader.php The problem is I am using $FILES'image' to pick up files in the PHP script.

How do I adjust my cURL commands accordingly? If you are uploading binary file such as csv, use below format to upload file curl -X POST ' -H 'authorization: eyJhbGciOiJIUzI1NiIsInR5cCI6ImFjY2VzcyIsInR5cGUiOiJhY2Nlc3MifQ.eyJ1c2VySWQiOjEsImFjY291bnRJZCI6MSwiaWF0IjoxNTExMzMwMzg5LCJleHAiOjE1MTM5MjIzODksImF1ZCI6Imh0dHBzOi8veW91cmRvbWFpbi5jb20iLCJpc3MiOiJmZWF0aGVycyIsInN1YiI6ImFub255bW91cyJ9.HWk7qJ0uK6SEi8qSeeB6-TGslDlZOTpG51U6kVi8nYc' -H 'content-type: application/x-www-form-urlencoded' -data-binary '@/home/limitless/Downloads/iRoute Masters - Workers.csv'.

Curl Multiple Files

With GNU xargs and a shell with support for process substitution xargs -r -0 -P4 -n1 -a. Using GNU Parallel it looks like this: parallel mycommand::: myfile.

It will run one job per core. GNU Parallel is a general parallelizer and makes is easy to run jobs in parallel on the same machine or on multiple machines you have ssh access to. It can often replace a for loop. If you have 32 different jobs you want to run on 4 CPUs, a straight forward way to parallelize is to run 8 jobs on each CPU: GNU Parallel instead spawns a new process when one finishes - keeping the CPUs active and thus saving time: Installation If GNU Parallel is not packaged for your distribution, you can do a personal installation, which does not require root access.

It can be done in 10 seconds by doing this: (wget -O - pi.dk/3 curl pi.dk/3/ fetch -o - bash For other installation options see Learn more See more examples: Watch the intro videos: Walk through the tutorial: Sign up for the email list to get support.