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MongoDB Indexing Best Practices for Node.js Apps

Indexes make queries fast. Here are the best practices for indexing in MongoDB with Node.js.

MongoDB Indexing Best Practices for Node.js Apps

Indexes make queries fast. Here are the best practices for indexing in MongoDB with Node.js.

Index Frequently Queried Fields

Index fields you query often: email for login, userIds for fetching a user's data, and foreign keys. Without indexes, queries scan the entire collection.

Use Compound Indexes for Multi-Field Queries

If you query on multiple fields together, like { status: 'active', age: { $gt: 18 } }, create a compound index on status and age. The order of fields in the compound index matters for query performance.

Index for Sorts

If you sort by a field often, index it. Sorting without an index requires MongoDB to scan and sort in memory, which is slow for large datasets.

Avoid Over-Indexing

Each index adds overhead to writes. Do not index every field. Index only the ones you query often. Use the explain method to confirm an index is being used.

Use the explain Method

Run User.find(query).explain('executionStats') to see if MongoDB uses an index (IXSCAN) or scans the collection (COLLSCAN). This tells you if your indexes are working.

Unique Indexes

For fields that must be unique like email, create a unique index: { unique: true } in the schema. This enforces uniqueness at the database level, not just in your code.

The Takeaway

Index frequently queried fields, use compound indexes for multi-field queries, index for sorts, avoid over-indexing, use the explain method to confirm indexes work, and use unique indexes for unique fields like email. Indexes make queries fast but add write overhead.

Index fields you query often: email for login, userIds for fetching a user's data, and foreign keys. For multi-field queries, use compound indexes. For sorts, index the sort field. Use the explain method to confirm indexes are used.

An index on multiple fields together, like { status: 1, age: 1 }. Use it when you query on multiple fields together, like { status: 'active', age: { $gt: 18 } }. The order of fields in the compound index matters for query performance.

Run User.find(query).explain('executionStats'). If it shows IXSCAN, the index is used. If it shows COLLSCAN, MongoDB is scanning the entire collection, which means your index is not being used for this query.

An index that enforces uniqueness at the database level. For fields that must be unique like email, create a unique index with { unique: true } in the schema. This prevents duplicate values, not just in your code but in the database itself.

No. Each index adds overhead to writes and uses storage. Index only the fields you query often. Over-indexing slows down writes without benefit. Use the explain method to confirm which indexes are actually used by your queries.

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