MongoDB Indexes

Indexes

Indexes support the efficient execution of queries in MongoDB. Without indexes, MongoDB performs collection scan, it scans every document in a collection to select documents match the query statement.

Default _id Index

As mentioned, MongoDB creates unique index on the _id field when a collection is created. Indexes help to prevent two documents with same value for the _id field. MongoDB supports the creation of user-defined ascending/descending indexes.

Index Types

  • Single Index – single field.
  • Compound Index – multiple fields. The order of fields in a compounded index has significance.
  • Multikey Index – to index the content stored in arrays.
  • Geospatial Index – to support efficient queries of geospatial coordinate data.
  • Text Indexes – provides a text index type that supports searching for string content in a collection.
  • Hashed Indexes – to support hash based sharding.

The syntax to create MongoDB indexes based on the index types above is shown below:

#Singple Index
db.collection.createIndex( <key and index type specification>, <options> )
db.collection.createIndex( { name: -1 } )

#Compound Index
db.collection.createIndex( { <field1>: <type>, <field2>: <type2>, ... } )
db.collection.createIndex( { "item": 1, "stock": 1 } )

#Multikey Index is used when any indexed field is an array
db.collection.createIndex( { <field>: < 1 or -1 > } )
db.collection.createIndex( { ratings: 1 } )

#Multiley Index in embedded document
db.collection.createIndex( { "stock.size": 1, "stock.quantity": 1 } )

#Text Index with keyword "text"
db.collection.createIndex( { <field>: "text" } )
db.collection.createIndex(
   {
     subject: "text",
     comments: "text"
   }
 )

#Hashed Indexes with keyword "hashed"
db.collection.createIndex( { _id: "hashed" } )

Option ‘-1’ is creating a single key descending index while option ‘1’ is creating a single key ascending index.