Want to batch import data from TXT files into 1 MongoDB collection?
Using FileToMongo, a native GUI tool, you can batch import data from TXT files into a single MongoDB collection easily and fast, no need to program, just a few mouse clicks!
Support all MongoDB deployment types: standalone, replica set, sharded cluster, and MongoDB Atlas.
Support Windows, Linux, macOS.
Here’s how to.
Import
Please download and install FileToMongo, then run it.
Click “N File To 1 Collection” at task dialog.
Select the “TXT” file type.
1. Open a folder contains TXT files.
2. Set TXT options.
3. Set MongoDB collection options.
4. Summary.
5. Import data from TXT files to MongoDB collection.
After importing, you can view imported data.
Save/load session
You can save/load session to run “TXT files to MongoDB collection” conversion repeatly.
1.Save Session.
Click “Save Session” button, then enter a session file name.
click “OK” button.
2.Load Session.
Click the “Open a Saved Session” in task window, select a session file.
then show the wizard form, click a few “Next” to import TXT files to MongoDB collection.
Run in command line
You can run “TXT files to MongoDB collection” conversion in command line.
When you save session, you can click “Save & Make Batch File”.
The “Save & Make Batch File” form shows.
Click “OK” button, you’ll create a batch file, in Windows, like this:
C: cd "C:\Users\pansh\AppData\Local\Programs\FileToMongo" FileToMongo task="C:\Users\pansh\Documents\test.mlm" logfile="C:\Users\pansh\Documents\test.log"
You can run this batch file in command line.
Run as scheduled task
You can run “TXT files to MongoDB collection” conversion automatically at specific time.
On Linux/macOS, you can use Crontab.
For macOS, How to Fix Cron Permission Issues in macOS.
On Windows, in “Save & Make Batch File” form, you can click “Create & Schedule Task” to set a scheduled task.
And then, with scheduled task wizard, step by step.
You’ll see created task listed in scheduled task list.
Download
Here you can download FileToMongo, and buy FileToMongo.