Docs Menu
Docs Home
/
MongoDB Manual
/ / /

planCacheSetFilter

On this page

  • Definition
  • Compatibility
  • Syntax
  • Required Access
  • Examples
planCacheSetFilter

Set an index filter for a collection. If an index filter already exists for the query shape, the command overrides the previous index filter.

This command is available in deployments hosted in the following environments:

  • MongoDB Atlas: The fully managed service for MongoDB deployments in the cloud

Important

This command is not supported in M0, M2, and M5 clusters. For more information, see Unsupported Commands.

The command has the following syntax:

db.runCommand(
{
planCacheSetFilter: <collection>,
query: <query>,
sort: <sort>,
projection: <projection>,
indexes: [ <index1>, <index2>, ...],
comment: <any>
}
)

The planCacheSetFilter command has the following field:

Field
Type
Description

planCacheSetFilter

string

The name of the collection.

query

document

The query predicate associated with the index filter. Together with the sort and the projection, the query predicate make up the query shape for the specified index filter.

Only the structure of the predicate, including the field names, are significant; the values in the query predicate are insignificant. As such, query predicates cover similar queries that differ only in the values.

sort

document

Optional. The sort associated with the filter. Together with the query and the projection, the sort make up the query shape for the specified index filter.

projection

document

Optional. The projection associated with the filter. Together with the query and the sort, the projection make up the query shape for the specified index filter.

indexes

array

An array of index filters for the specified query shape.

Specify the index filters as either:

  • an array of index specification documents, e.g. [ { x : 1 }, ... ]

  • an array of index names, e.g. [ "x_1", ... ]

Because the query optimizer chooses among the collection scan and these indexes, if the specified indexes are non-existent or hidden, the optimizer will choose the collection scan.

In cases of multiple indexes with the same key pattern, you must specify the index by name.

comment

any

Optional. A user-provided comment to attach to this command. Once set, this comment appears alongside records of this command in the following locations:

A comment can be any valid BSON type (string, integer, object, array, etc).

Index filters only exist for the duration of the server process and do not persist after shutdown; however, you can also clear existing index filters using the planCacheClearFilters command.

A user must have access that includes the planCacheIndexFilter action.

The following example creates an index filter on the orders collection such that for queries that consist only of an equality match on the status field without any projection and sort, the query optimizer evaluates only the two specified indexes and the collection scan for the winning plan:

db.runCommand(
{
planCacheSetFilter: "orders",
query: { status: "A" },
indexes: [
{ cust_id: 1, status: 1 },
{ status: 1, order_date: -1 }
]
}
)

In the query predicate, only the structure of the predicate, including the field names, are significant; the values are insignificant. As such, the created filter applies to the following operations:

db.orders.find( { status: "D" } )
db.orders.find( { status: "P" } )

To see whether MongoDB will apply an index filter for a query shape, check the indexFilterSet field of either the db.collection.explain() or the cursor.explain() method.

The following example creates an index filter for the orders collection. The filter applies to queries whose predicate is an equality match on the item field, where only the quantity field is projected and an ascending sort by order_date is specified.

db.runCommand(
{
planCacheSetFilter: "orders",
query: { item: "ABC" },
projection: { quantity: 1, _id: 0 },
sort: { order_date: 1 },
indexes: [
{ item: 1, order_date: 1 , quantity: 1 }
]
}
)

For the query shape, the query optimizer will only consider indexed plans which use the index { item: 1, order_date: 1, quantity: 1 }.

Tip

See also:

Back

planCacheListFilters