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MongoDB Operations Toolkit

$39

Schema design patterns, aggregation pipelines, sharding strategies, backup scripts, and monitoring dashboards.

📁 24 files

JSONMarkdownShellJavaScriptMongoDB

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📁 File Structure 24 files

mongodb-operations-toolkit/ ├── LICENSE ├── README.md ├── config/ │ └── mongod.conf ├── docs/ │ ├── backup-and-restore.md │ ├── indexing-guide.md │ ├── performance-profiling.md │ ├── replica-sets.md │ ├── schema-design-patterns.md │ └── sharding.md ├── examples/ │ ├── sample_data.json │ └── sample_schema.js ├── free-sample.zip ├── guide/ │ ├── 01_who-this-is-for.md │ ├── 02_how-to-run.md │ ├── 03_file-by-file-guide.md │ └── 04_license.md ├── index.html ├── scripts/ │ ├── aggregation_pipelines.js │ ├── create_indexes.js │ ├── profiling_queries.js │ ├── replica_set_status.js │ └── shard_status.js └── shell/ ├── mongodump_backup.sh └── replica_set_init.sh

📖 Documentation Preview README excerpt

MongoDB Operations Toolkit

A hands-on toolkit for running MongoDB well: schema design that matches how you

query, indexes that the planner actually uses, aggregation pipelines that read

clearly, plus the replica-set, sharding, profiling, and backup operations you

need day to day.

Everything here is runnable, not slideware:

mongosh scripts (scripts/*.js) you can load() or pipe straight into a

shell — real index builders, aggregation pipelines, profiler queries, and

replica-set / shard status reports.

Shell scripts (shell/*.sh) for mongodump backups (with PITR notes) and

bringing up a local replica set to practice against.

An annotated mongod.conf that explains every block — WiredTiger cache,

journaling, the profiler, replication, and the security settings you must not

skip.

Sample data + schema (examples/) so every pipeline and index in the docs

runs against concrete documents.

Who this is for

Backend engineers and DBAs who already use MongoDB and want correct, opinionated

patterns for the decisions that are easy to get wrong: embed vs. reference, the

ESR index rule, choosing a shard key you will not regret, reading an explain

plan, and taking a backup you can actually restore.

Prerequisites

MongoDB 6.0+ (7.0 recommended). The aggregation stages used here

($setWindowFields, $densify, $merge) need 5.0+; $lookup on sharded

collections needs 5.1+. Where a feature needs a newer server, the doc says so.

mongosh (the modern shell — the legacy mongo shell is not supported).
Database Tools (mongodump, mongorestore) on your PATH for the backup

scripts. They ship separately from the server as mongodb-database-tools.

A MongoDB you can connect to. Scripts default to

mongodb://127.0.0.1:27017; override with the MONGO_URI environment variable.

Hostnames such as mongo-rs0-01.docs.example.com are placeholders — replace them

with your own. No real infrastructure, addresses, or credentials appear

anywhere in this product.

How to run


# 1. Load the sample data so every example has something to query
mongosh "mongodb://127.0.0.1:27017/shop" examples/sample_schema.js

# 2. Build the indexes the queries rely on
mongosh "mongodb://127.0.0.1:27017/shop" scripts/create_indexes.js

# 3. Run the aggregation pipelines (sales rollups, RFM, funnel, top-N)
mongosh "mongodb://127.0.0.1:27017/shop" scripts/aggregation_pipelines.js

# 4. Turn on the profiler and inspect slow operations
mongosh "mongodb://127.0.0.1:27017/shop" scripts/profiling_queries.js

# 5. Check cluster health
mongosh "mongodb://127.0.0.1:27017" scripts/replica_set_status.js
mongosh "mongodb://127.0.0.1:27017" scripts/shard_status.js

*... continues with setup instructions, usage examples, and more.*

📄 Code Sample .js preview

examples/sample_schema.js// ============================================================================= // sample_schema.js — Create the demo "shop" database with validators + data // MongoDB Operations Toolkit // // Run: mongosh "mongodb://127.0.0.1:27017/shop" examples/sample_schema.js // // Creates four collections with JSON Schema validators and inserts a small, // realistic dataset that every aggregation pipeline, index, and profiling // example in this toolkit runs against. Safe to re-run: it drops and recreates // the demo collections (in the `shop` database only). // // All names, emails (@example.com), and ids are fictional. // ============================================================================= const dbx = db.getSiblingDB("shop"); print("Resetting demo collections in 'shop'..."); ["users", "products", "orders", "events"].forEach((c) => dbx[c].drop()); // ----------------------------------------------------------------------------- // users — a customer document. Note the EMBEDDED addresses array (1-to-few, // always read with the user → embed) and a small denormalized order summary. // ----------------------------------------------------------------------------- dbx.createCollection("users", { validator: { $jsonSchema: { bsonType: "object", required: ["_id", "email", "createdAt", "status"], properties: { email: { bsonType: "string", pattern: "^.+@.+$" }, status: { enum: ["active", "churned", "trial"] }, createdAt: { bsonType: "date" }, addresses: { bsonType: "array", items: { bsonType: "object", required: ["kind", "country"], properties: { kind: { enum: ["billing", "shipping"] } }, }, },

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