MongoDB schema information in Python
mongoschema is a library written in Python to provide concise description of the schema of a collection in MongoDB
To install the package, type the following -
pip install mongoschema
Navigate to test/sample_data in the mongojoin directory and type the following command -
> mongoimport --dbname test --collection supplier --file supplier.json
> mongoimport --dbname test --collection order --file order.json
This will create and populate the required collections with sample data.
The two collections supplier and order will be used to demonstrate how to use mongoschema. To check the contents of the collection, the following command can be used in the MongoDB shell :
> use test
> db.supplier.find({})
> db.order.find({})
Type the following in Python shell to import mongoschema-
>>> from mongoschema import Schema
To create a Schema object for the collection to be analysed, type the following -
>>> schema = Schema("test", "supplier")
where test is the DB name and supplier is the Collection name.
Additional parameters -
host : Mongo uri (String)
port : Port Number (Integer)
limit: Number of docs to be sampled
To get the stats of the collection -
>>> num_docs, result = schema.get_schema()
num_docs: Total number of docs sampled
result : Dictionary containing the stats
Use the following command to pretty print the results -
>>> schema.print_schema()
+-------------+------------------+-----------------------+------------------+-----------------------+
| Key | Occurrence Count | Occurrence Percentage | Value Type | Value Type Percentage |
+-------------+------------------+-----------------------+------------------+-----------------------+
| supplier_id | 7 | 100.0 | <type 'int'> | 100.0 |
| name | 7 | 100.0 | <type 'unicode'> | 100.0 |
| _id | 7 | 100.0 | other | 100.0 |
+-------------+------------------+-----------------------+------------------+-----------------------+
More contents here - https://pypi.python.org/pypi/mongoschema/