Batch import semicolon delimited text files to MongoDB collections without programming

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Want to batch import data from TXT (“;” semicolon delimited text) files to MongoDB collections?

Using Withdata software FileToMongo, a MongoDB TXT importer for Windows, MacOS, and Linux, you can bulk import data from TXT (“;” semicolon delimited text) files to MongoDB collections easily and fast.

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Bulk import data from TXT (“;” semicolon delimited text) files to MongoDB collections

Login to MongoDB -> Choose TXT files -> Set MongoDB collections. -> Import TXT files into MongoDB collections

Start FileToMongo, connect to MongoDB.

Import multiple TXT files data to 1 MongoDB collection - connect to mongodb

Click “N File To N Collection” at task dialog.

Batch Import SEMICOLON files data To MongoDB collections - task window

then show the wizard.

Select the “TXT” file type.

Batch Import TXT files data To MongoDB collections - select file type

1. Open a folder contains TXT (“;” semicolon delimited text) files.

Batch Import Data From TXT Files To MongoDB collections - set TXT folder

2. Set TXT (“;” semicolon delimited text) options.

Batch Import Data From TXT Files To MongoDB collections - config TXT file

3. List collesions, set “Import Type”.

Batch Load Data From TXT File To MongoDB collections - select table

4. Map files to collections.

Batch Load Data From TXT File To MongoDB collections - select table

5. Summary.

Batch Transfer Data From TXT Files To MongoDB collections - preview

6. Import TXT (“;” semicolon delimited text) data to MongoDB collections.

Batch Copy Data From TXT Files To MongoDB collections - import data

After importing, you can view imported data.

Bulk Import Data From TXT Files To MongoDB collections - view data

Bulk import TXT (“;” semicolon delimited text) to MongoDB in command line

Save “TXT to MongoDB” session, then you can:

Set scheduled tasks for bulk importing TXT (“;” semicolon delimited text) to MongoDB

You can schedule and automate this “TXT to MongoDB” conversion task by:

1) Save session and create .bat (Windows) or .sh (Linux/macOS) file.

2) Set scheduled task.

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