MongoDB Validator

Tool to design, test, and export JSON Schema validators for MongoDB collections.

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About This Tool

The MongoDB Validator tool enables precise design of collection validators using JSON Schema rules. It supports required fields, type constraints, nested objects, arrays, and string patterns, with a dry-run feature to predict which sample documents would fail before applying rules. Users can generate MongoDB commands for db.createCollection or collMod that implement the jsonSchema rule. The tool is aimed at database engineers, developers, and data architects who need predictable data shapes and proactive data quality controls. Unique value lies in pre-deployment validation, versioned rule exports, and explicit failure paths to guide schema improvements. Use cases include introducing new collections with strict schemas, evolving existing validators during refactors, and ensuring compliance with data governance standards. Core features include a guided JSON Schema builder, dry-run validation against sample_docs, and exportable validator snippets compatible with MongoDB servers. This approach reduces live-database risk and accelerates safe schema rollouts.

How to Use

Provide inputs: collection_name, json_schema, validation_level, validation_action.
Optionally add sample_docs to test behavior against real data.
Generate validator_command and review test_results in the tool output.
Iterate on the json_schema based on failures or edge cases revealed by the dry-run.
Apply to MongoDB with db.createCollection or collMod using the generated jsonSchema snippet.

How to use mongodb validator

Frequently Asked Questions

Find Quick Answers

What is the MongoDB validator?
MongoDB validator enforces document structure by using a JSON Schema, applying rules on inserts and updates to ensure data conforms to a defined shape, types, and constraints.
Which MongoDB versions support JSON Schema validators?
JSON Schema validation is supported starting with MongoDB 3.6 and improved in later releases; ensure server version compatibility with your schema features and operators.
How should existing data be handled when adding a validator?
Set validationLevel to strict or moderate as appropriate and use collMod to apply the new schema; consider a pre-cleanup pass to fix nonconforming documents or use a one-time script.
Does this tool guarantee zero failing inserts after applying validators?
No. The tool simulates validation and helps design rules; actual enforcement depends on applying the validator with correct levels and actions, plus ongoing data governance.

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