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,
Browse the actual product documentation and code examples included in this toolkit.
Key features of MongoDB Operations Toolkit
• **`mongosh` scripts** (`scripts/*.js`) you can `load()` or pipe straight into a • **Shell scripts** (`shell/*.sh`) for `mongodump` backups (with PITR notes) and • An **annotated `mongod.conf`** that explains every block — WiredTiger cache, • **Sample data + schema** (`examples/`) so every pipeline and index in the docs • **MongoDB 6.0+** (7.0 recommended). The aggregation stages used here • **`mongosh`** (the modern shell — the legacy `mongo` shell is not supported).
**`mongosh` scripts** (`scripts/*.js`) you can `load()` or pipe straight into a
**Shell scripts** (`shell/*.sh`) for `mongodump` backups (with PITR notes) and
An **annotated `mongod.conf`** that explains every block — WiredTiger cache,
**Sample data + schema** (`examples/`) so every pipeline and index in the docs
**MongoDB 6.0+** (7.0 recommended). The aggregation stages used here
**`mongosh`** (the modern shell — the legacy `mongo` shell is not supported).
Configure MongoDB Operations Toolkit parameters to see how the product works.
# 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,