mongoCollector

CLI tool for extracting values of a specific field from a MongoDB collection and saving them into a target collection.
Supports batching, large dataset processing, and flexible write configurations.

Features

1. Extract values of any field from MongoDB documents.
2. Data filtering using $match.
3. Batching (batchSize) to avoid MongoDB’s 16MB per-document limit.
4. ObjectId transformation: ObjectId('68a8c8207090be6dd0e23a90') → '68a8c8207090be6dd0e23a90'.
5. Large collections supported via allowDiskUse.
6. Flexible array handling:

• Overwrite or append to arrays.
• Allow or eliminate duplicates.

7. Informative logs:

Installation & Usage

1. Install the package:

npm i  mongo-collector

2. Add a script in your package.json:

"scripts": {
  "mongoCollector": "mongo-collector"
}

3. In the root of the project, create a file — mongo-collector.config.js.

Example of file contents:

export default {
  source: {
    uri: "mongodb://127.0.0.1:27017",
    db: "crystalTest",
    collection: "users",
    field: "_id",
    match: {}
  },

  target: {
    uri: "mongodb://127.0.0.1:27017",
    db: "pool",
    collection: "usersIdFromCrystalTest",
    field: "users",
    documentId: false,
    rewriteDocuments: true,
    rewriteArray: true,
    duplicatesInArray: false,
    unwrapObjectId: true
  },

  aggregation: {
    allowDiskUse: true,
    batchSize: 200
  },
};

⚠️ All parameters are required.

4. Run from the project root:

npm run mongoCollector

Example of work

Source collection users (from source):

{ "_id": ObjectId("68a8c8207090be6dd0e23a90"), "name": "Alice" }
{ "_id": ObjectId("68a8c8207090be6dd0e23a91"), "name": "Sarah" }
{ "_id": ObjectId("68a8c8207090be6dd0e23a92"), "name": "John" }

After running mongo-collector, in the target collection usersIdFromCrystal:

{ "users": [ "68a8c8207090be6dd0e23a90", "68a8c8207090be6dd0e23a91", "68a8c8207090be6dd0e23a92" ] }

Config parameters

match

You can do any match configurations, for example:

match: {} - take all documents.

match: { createdAt: { $gte: new Date("2025-08-20T01:26:11.327+00:00") } } - filter documents by date.

documentId

documentId: false - create a new document.

documentId: '68a8c8207090be6dd0e23a90' - append data to an existing document, or create one with this _id if missing.

rewriteDocuments

rewriteDocuments: true - clear the entire target collection before writing.

rewriteArray

true - overwrite array
false - append to an existing array

duplicatesInArray

false - eliminate duplicates (uses $addToSet)

unwrapObjectId

true - ObjectId('68a8c8207090be6dd0e23a90') → '68a8c8207090be6dd0e23a90' (final result in target).

allowDiskUse

true - allows MongoDB to write temporary data to disk when processing aggregation stages.

• Use this option for large datasets to avoid memory limitations.

false - restricts processing to memory only.

• This can improve performance, but may result in errors if the dataset is too large to fit into memory.

batchSize

batchSize: 10 - controls the length of the array inside each target document.

⚠️ Make sure the array does not exceed 16MB, otherwise MongoDB will throw an error.

An example of mongoCollector in operation: