This tutorial describes how to create indexes to limit the number of
index entries scanned for queries that includes a $text
expression and equality conditions.
A collection inventory contains the following documents:
{ _id: 1, dept: "tech", description: "lime green computer" } { _id: 2, dept: "tech", description: "wireless red mouse" } { _id: 3, dept: "kitchen", description: "green placemat" } { _id: 4, dept: "kitchen", description: "red peeler" } { _id: 5, dept: "food", description: "green apple" } { _id: 6, dept: "food", description: "red potato" }
Consider the common use case that performs text searches by individual departments, such as:
db.inventory.find( { dept: "kitchen", $text: { $search: "green" } } )
To limit the text search to scan only those documents within a specific
dept, create a compound index that first specifies an
ascending/descending index key on the field dept and then a
text index key on the field description:
db.inventory.createIndex( { dept: 1, description: "text" } )
Then, the text search within a particular department
will limit the scan of indexed documents. For example, the following
query scans only those documents with dept equal to kitchen:
db.inventory.find( { dept: "kitchen", $text: { $search: "green" } } )
Note
A compound
textindex cannot include any other special index types, such as multi-key or geospatial index fields.If the compound
textindex includes keys preceding thetextindex key, to perform a$textsearch, the query predicate must include equality match conditions on the preceding keys.When creating a compound
textindex, alltextindex keys must be listed adjacently in the index specification document.