Indexes in MongoDB

Indexes in MongoDB

MongoDB only uses one index to fulfill most queries. In any database, indexes in MongoDB support the efficient execution of queries. Without them, the database must scan every document in a collection or table to select those that match the query statement. If an appropriate index exists for a query, the database can use the index to limit the number of documents it must inspect.

In any database, indexes in MongoDB support the efficient execution of queries. Without them, the database must scan every document in a collection or table to select those that match the query statement. If an appropriate index exists for a query, the database can use the index to limit the number of documents it must inspect.

Keypoints for Indexing

As you create indexes, consider the following behaviors of indexes:

  • Each index requires at least 8 kB of data space.
  • Adding an index has some negative performance impact for write operations. For collections with a high write-to-read ratio, indexes are expensive since each insert must also update any indexes.
  • Collections with a high read-to-write ratio often benefit from additional indexes. Indexes do not affect un-indexed read operations.
  • When active, each index consumes disk space and memory. This usage can be significant and should be tracked for capacity planning, especially for concerns over working set size
  • Querying only the index can be much faster than querying documents outside of the index. Index keys are typically smaller than the documents they catalog, and indexes are typically available in RAM or located sequentially on disk.

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