MAMMOTH / QUERIES & INDEXES

Think in documents.

Use familiar MongoDB-style operations, indexes and aggregation pipelines.

Insert, find, update

These examples use mongosh against a running local Mammoth server. They are illustrative code, not an interactive database connection.

documents.js

db.projects.insertOne({
  name: "Atlas", language: "Go", active: true
});

db.projects.find({ language: "Go" });

db.projects.updateOne(
  { name: "Atlas" },
  { $set: { active: false } }
);

Give queries a useful index

indexes.js

db.projects.createIndex({ name: 1 }, { unique: true });

db.sessions.createIndex(
  { expiresAt: 1 },
  { expireAfterSeconds: 0 }
);

The source documents single-field, compound, text, geospatial and TTL indexes. Confirm index behavior for the exact data types and query operators you use.

Build a pipeline

aggregation.js

db.projects.aggregate([
  { $match: { active: true } },
  { $group: {
    _id: "$language",
    projects: { $sum: 1 }
  } },
  { $sort: { projects: -1 } }
]);

Compatibility has a boundary.

The full MongoDB aggregation operator set remains a roadmap item in the project README. Read the API reference and test your actual pipeline instead of assuming every operator is implemented.

Grounded in the upstream source · snapshot 6b186803 · reviewed 19 October 2026.

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