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  • License Apache-2.0

Infer the probabilistic schema for a MongoDB collection.

Package Exports

  • mongodb-schema

This package does not declare an exports field, so the exports above have been automatically detected and optimized by JSPM instead. If any package subpath is missing, it is recommended to post an issue to the original package (mongodb-schema) to support the "exports" field. If that is not possible, create a JSPM override to customize the exports field for this package.

Readme

mongodb-schema

Infer a probabilistic schema for a MongoDB collection.

A high-level view of the class interactions is as follows:

Example

mongodb-schema doesn't do anything directly with mongodb so to try the examples we'll install the node.js driver.
As well, we'll need some data in a collection to derive the schema of.

Make sure you have a mongod running on localhost on port 27017 (or change the example accordingly). Then, do:

  1. npm install mongodb mongodb-schema
  2. mongo --eval "db.test.insert([{_id: 1, a: true}, {_id: 2, a: 'true'}, {_id: 3, a: 1}, {_id: 4}])" localhost:27017/test
  3. Create a new file parse-schema.js and paste in the following code:
var parseSchema = require('mongodb-schema');
var connect = require('mongodb');

connect('mongodb://localhost:27017/test', function(err, db){
  if(err) return console.error(err);

  parseSchema('test.test', db.collection('test').find(), function(err, schema){
    if(err) return console.error(err);

    console.log(JSON.stringify(schema, null, 2));
    db.close();
  });
});
  1. When we run the above with node parse-schema.js, we'll see something like the following (some fields not present here for clarity):
{
  "count": 4,                   // parsed 4 documents
  "ns": "test.test",            // namespace
  "fields": [                   // an array of Field objects, @see `./lib/field.js`
    {
      "name": "_id",
      "count": 4,               // 4 documents counted with _id
      "type": "Number",         // the type of _id is `Number`
      "probability": 1,         // all documents had an _id field
      "unique": 4,              // 4 unique values found
      "has_duplicates": false,  // therefore no duplicates
      "types": [                // an array of Type objects, @see `./lib/types/`
        {
          "name": "Number",     // name of the type
          "count": 4,           // 4 numbers counted
          "probability": 1,
          "unique": 4,
          "values": [           // array of encountered values
            1,
            2,
            3,
            4
          ]
        }
      ]
    },
    {
      "name": "a",
      "count": 3,               // only 3 documents with field `a` counted
      "probability": 0.75,      // hence probability 0.75
      "type": [                 // found these types
        "Boolean",
        "String",
        "Number",
        "Undefined"             // for convenience, we treat Undefined as its own type
      ],
      "unique": 3,
      "has_duplicates": false,   // there were no duplicate values
      "types": [
        {
          "name": "Boolean",
          "count": 1,
          "probability": 0.25,  // probabilities for types are calculated factoring in Undefined
          "unique": 1,
          "values": [
            true
          ]
        },
        {
          "name": "String",
          "count": 1,
          "probability": 0.25,
          "unique": 1,
          "values": [
            "true"
          ]
        },
        {
          "name": "Number",
          "count": 1,
          "probability": 0.25,
          "unique": 1,
          "values": [
            1
          ]
        },
        {
          "name": "Undefined",
          "count": 1,
          "probability": 0.25,
          "unique": 0
        }
      ]
    }
  ]
}

More Examples

mongodb-schema supports all BSON types. Checkout the tests for more usage examples.

Installation

npm install --save mongodb-schema

Testing

npm test

License

Apache 2.0

Contributing

Under the hood, mongodb-schema uses ampersand-state and ampersand-collection for modeling Schema, Field's, and Type's.