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setQuerySettings (database command)

setQuerySettings

New in version 8.0.

setQuerySettings defines query settings used by the find, distinct, and aggregate commands.

You can use query settings to add index hints, define operation rejection filters, and set other fields for all executions of a given query shape on a cluster. A cluster's query settings persist across restarts.

The query optimizer uses query settings as an additional input during query planning. Index hints in query settings restrict the set of indexes available to the planner, but don't guarantee that the planner will use the index. The planner can still select a collection scan as the winning plan for a given query shape hash.

Cluster query settings take precedence over query settings or index hints passed as a command field. MongoDB ignores index hints in command fields if a matching query setting already contains index hints.

Index hints don't affect query shape.

For more information about hints and query settings, see Query Settings Syntax.

Note

To remove query settings, use removeQuerySettings. To see current query settings, use a $querySettings stage in an aggregation pipeline.

Starting in MongoDB 8.0, index filters are deprecated. Use query settings instead.

Query settings have more functionality than index filters. Index filters aren't persistent, and you can't easily create index filters for all cluster nodes.

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 and Flex clusters. For more information, see Unsupported Commands.

You can add or update query settings using either of the two syntax specifications shown in this section.

In the following syntax, you provide:

  • The same fields as a find, distinct, or aggregate command. See the syntax sections on the pages for those commands for the fields you can include in setQuerySettings.

  • A $db field to specify the database for the query settings.

  • A settings document with indexHints and other fields.

db.adminCommand( {
setQuerySettings: {
<fields>, // Provide fields for
// find, distinct, or aggregate command
$db: <string> // Provide a database name
},
// Provide a settings document with indexHints and other fields
settings: {
indexHints: [ {
ns: { db: <string>, coll: <string> },
allowedIndexes: <array>
}, ... ],
queryFramework: <string>,
reject: <boolean>,
comment: <BSON type>,
queryKnobs: <document>,
maxTimeMS: <non-negative integer>
}
} )

You can provide an existing query shape hash string in setQuerySettings and an updated settings document with indexHints and other fields:

db.adminCommand( {
setQuerySettings: <string>, // Provide an existing query shape hash string
// Provide a settings document with indexHints and other fields
settings: {
indexHints: [ {
ns: { db: <string>, coll: <string> },
allowedIndexes: <array>
}, ... ],
queryFramework: <string>,
reject: <boolean>,
comment: <BSON type>,
queryKnobs: <document>,
maxTimeMS: <non-negative integer>
}
} )

A query shape hash is a string that uniquely identifies the query shape. An example query shape hash is "F42757F1AEB68B4C5A6DE6182B29B01947C829C926BCC01226BDA4DDE799766C".

In current supported versions, the same query shape is expected to produce the same query shape hash across nodes and deployment types. To learn how the hash behaves across nodes, deployment types, and clusters, see Query Shape Hash Stability.

To obtain the query shape hash string, do any of these:

If you set the query settings using a hash string, the representativeQuery field is initially absent from the $querySettings aggregation stage output.

Starting in MongoDB 8.3, if the FCV is 8.3 or later, MongoDB backfills the representativeQuery field for query settings that you set with a query shape hash. When MongoDB runs a query that matches the query shape, it schedules the backfill. The backfill requires no action from you.

The backfill runs asynchronously on a best-effort basis to limit the performance impact on your queries. A query setting isn't guaranteed to be backfilled the first time a matching query runs. If a backfill doesn't complete, MongoDB attempts it again the next time a matching query runs.

To hold the additional representative queries, MongoDB 8.3 also increases the storage capacity for representative queries in query settings beyond the original 16 MB BSON document limit.

Tip

In both syntax variations, you can provide an array of indexHints documents. You can omit the array brackets if you provide only one indexHints document.

The settings document in the setQuerySettings command takes the following fields:

Field
Field Type
Necessity
Description

setQuerySettings

document or string

Required

You can provide either:

  • The same fields as those in a find, distinct, or aggregate command, and a $db field with the database associated with the original command.

  • An existing query shape hash string that uniquely identifies the query shape. An example query shape hash is "F42757F1AEB68B4C5A6DE6182B29B01947C829C926BCC01226BDA4DDE799766C"`.

indexHints.ns

document

Optional

Namespace for index hints. Only required when optional index hints are specified.

indexHints.ns.db

string

Conditional

Name of the database for the index hints. Required when you specify indexHints.ns.

indexHints.ns.coll

string

Conditional

Name of the collection for the index hints. Required when you specify indexHints.ns.

indexHints.allowedIndexes

array

Optional

Array of indexes for index hints. An index hint can be one of these:

  • Index name

  • index key pattern

  • $natural hint

For more details, see Indexes and hint().

queryFramework

string

Optional

Query framework string can be set to:

reject

boolean

Optional

If true:

  • New queries with the matching query shape are rejected and the query response states the query is rejected.

  • Any queries currently in progress aren't rejected.

Default is false.

To enable a query shape, run setQuerySettings again for the query shape and set reject to false. If you set reject to true and then back to false using setQuerySettings then:

  • If your settings document isn't empty, then setQuerySettings enables the query shape.

  • If your settings document only contains reject: false, then setQuerySettings returns an error. Instead, use the removeQuerySettings command to remove the settings and then use setQuerySettings to add query settings.

comment

BSON type

Optional

A comment can be any valid BSON type. For example: string, object, and so on.

You can use a comment to provide additional information about the query settings. For example, to add a string that indicates why you added the query settings, use comment: "Index hint for orderDate_1 index to improve query performance".

To update a comment, run setQuerySettings again and use comment: { body: { msg: "Updated comment" } }.

You cannot remove a comment, but you can set it to a string with a space character. You can remove the query settings using removeQuerySettings.

Comments appear in the $querySettings aggregation pipeline stage output, the explain() command output, and the slow query logs.

New in version 8.1: (and 8.0.4).

queryKnobs

document

Optional

A document of { <knobName>: <value> } pairs that override internal server parameters for this query shape only, instead of instance-wide with setParameter. Each knob keeps the type, bounds, and default of its underlying server parameter.

Unlike the other setQuerySettings fields, which replace the entire value when set, queryKnobs merges with existing knob values. setQuerySettings changes the knobs you include in the queryKnobs document, and leaves all other knobs unchanged.

queryKnobs: {} results in a no-op. To remove a single knob without affecting the others, set that knob's value to null.

New in version 9.0.

maxTimeMS

non-negative integer

Optional

Sets a time limit in milliseconds for executions of the query shape. Use this setting to cap a single regressed shape or lift an over-tight client timeout without changing application code.

If you omit maxTimeMS from query settings, the operation's timeout follows the command-level maxTimeMS option and the defaultMaxTimeMS cluster parameter. Setting maxTimeMS to 0 clears the maxTimeMS query setting, and the operation falls back to the command-level and cluster default values.

A maxTimeMS value set with setQuerySettings takes precedence over a maxTimeMS value supplied in the command.

New in version 9.0.

New in version 9.0.

Starting in MongoDB 9.0, you can use the queryKnobs setting to override internal server parameters for a single query shape instead of the whole instance. Set the queryKnobs field for targeted queries to mitigate the impact of one regressed shape without changing behavior for other workloads on the same deployment.

For example, you can override the notablescan server parameter for a single query shape instead of the whole instance by setting queryKnobs to { noTableScan: true }.

Each knob keeps the type, bounds, and default of its underlying server parameter, and setQuerySettings runs the same validation that setParameter runs. setQuerySettings rejects the following values:

  • Unknown knobs

  • Knobs that are not marked as settable through query settings

  • Wrong BSON types

  • Invalid enum strings

  • Out-of-range values

  • Knobs whose minimum FCV requirement exceeds the cluster FCV

The effective value of a knob follows this precedence, from highest to lowest:

  1. Per-shape value set with queryKnobs

  2. Instance-wide value set with setParameter

  3. Compiled-in default value

Query knobs are part of the hashed query settings, so they are also part of the plan cache key. If you change a knob value, MongoDB produces a new plan cache key, so the planner creates a fresh plan instead of reusing a stale cached plan.

Unlike setParameter, which applies per process and can differ between nodes, MongoDB applies the same queryKnobs values across the whole cluster for the matching query shape.

Important

When you downgrade the FCV from 9.0 to an earlier version, a migration updates the stored query settings. The migration removes every knob whose minimum FCV exceeds the target version and deletes any settings entry that still contains only default values. Re-upgrading to 9.0 does not restore the removed knobs. You must re-apply them with setQuerySettings.

The following examples create a collection and add query settings for different commands. For all executions of a query shape on the cluster, the examples restrict the query planner to either using the hinted index, or a collection scan.

1

Run:

// Create pizzaOrders collection
db.pizzaOrders.insertMany( [
{ _id: 0, type: "pepperoni", size: "small", price: 19,
totalNumber: 10, orderDate: ISODate( "2023-03-13T08:14:30Z" ) },
{ _id: 1, type: "pepperoni", size: "medium", price: 20,
totalNumber: 20, orderDate: ISODate( "2023-03-13T09:13:24Z" ) },
{ _id: 2, type: "pepperoni", size: "large", price: 21,
totalNumber: 30, orderDate: ISODate( "2023-03-17T09:22:12Z" ) },
{ _id: 3, type: "cheese", size: "small", price: 12,
totalNumber: 15, orderDate: ISODate( "2023-03-13T11:21:39.736Z" ) },
{ _id: 4, type: "cheese", size: "medium", price: 13,
totalNumber: 50, orderDate: ISODate( "2024-01-12T21:23:13.331Z" ) },
{ _id: 5, type: "cheese", size: "large", price: 14,
totalNumber: 10, orderDate: ISODate( "2024-01-12T05:08:13Z" ) },
{ _id: 6, type: "vegan", size: "small", price: 17,
totalNumber: 10, orderDate: ISODate( "2023-01-13T05:08:13Z" ) },
{ _id: 7, type: "vegan", size: "medium", price: 18,
totalNumber: 10, orderDate: ISODate( "2023-01-13T05:10:13Z" ) }
] )
// Create ascending index on orderDate field
db.pizzaOrders.createIndex( { orderDate: 1 } )
// Create ascending index on totalNumber field
db.pizzaOrders.createIndex( { totalNumber: 1 } )

The indexes have the default names orderDate_1 and totalNumber_1.

2

The following example adds query settings for a find command. The example provides fields in setQuerySettings for the find command, and includes the orderDate_1 index in allowedIndexes.

db.adminCommand( {
setQuerySettings: {
find: "pizzaOrders",
filter: {
orderDate: { $gt: ISODate( "2023-01-20T00:00:00Z" ) }
},
sort: {
totalNumber: 1
},
$db: "test"
},
settings: {
indexHints: {
ns: { db: "test", coll: "pizzaOrders" },
allowedIndexes: [ "orderDate_1" ]
},
queryFramework: "classic",
comment: "Index hint for orderDate_1 index to improve query performance"
}
} )
3

Run this explain command:

db.pizzaOrders.explain().find( { orderDate: { $gt: ISODate(
"2023-01-20T00:00:00Z" ) } } ).sort( { totalNumber: 1 } )

The following truncated output shows the query settings are set:

queryPlanner: {
winningPlan: {
stage: 'SINGLE_SHARD',
shards: [
{
explainVersion: '1',
...
namespace: 'test.pizzaOrders',
indexFilterSet: false,
parsedQuery: { orderDate: { '$gt': ISODate('2023-01-20T00:00:00.000Z') } },
querySettings: {
indexHints: {
ns: { db: 'test', coll: 'pizzaOrders' },
allowedIndexes: [ 'orderDate_1' ]
},
queryFramework: 'classic',
comment: 'Index hint for orderDate_1 index to improve query performance'
},
...
}
...
]
}
}
4

The following example runs the query:

db.pizzaOrders.find(
{ orderDate: { $gt: ISODate( "2023-01-20T00:00:00Z" ) } } ).sort( { totalNumber: 1 }
)

The query optimizer uses the query settings as an additional input during query planning, which affects the plan selected to run the query.

Query output:

[
{
_id: 0,
type: 'pepperoni',
size: 'small',
price: 19,
totalNumber: 10,
orderDate: ISODate('2023-03-13T08:14:30.000Z')
},
{
_id: 5,
type: 'cheese',
size: 'large',
price: 14,
totalNumber: 10,
orderDate: ISODate('2024-01-12T05:08:13.000Z')
},
{
_id: 3,
type: 'cheese',
size: 'small',
price: 12,
totalNumber: 15,
orderDate: ISODate('2023-03-13T11:21:39.736Z')
},
{
_id: 1,
type: 'pepperoni',
size: 'medium',
price: 20,
totalNumber: 20,
orderDate: ISODate('2023-03-13T09:13:24.000Z')
},
{
_id: 2,
type: 'pepperoni',
size: 'large',
price: 21,
totalNumber: 30,
orderDate: ISODate('2023-03-17T09:22:12.000Z')
},
{
_id: 4,
type: 'cheese',
size: 'medium',
price: 13,
totalNumber: 50,
orderDate: ISODate('2024-01-12T21:23:13.331Z')
}
]
5

The following example uses a $querySettings stage in an aggregation pipeline to obtain the query settings:

db.aggregate( [
{ $querySettings: {} }
] )

Truncated output, which includes the queryShapeHash field:

[
{
queryShapeHash: 'AB8ECADEE8F0EB0F447A30744EB4813AE7E0BFEF523B0870CA10FCBC87F5D8F1',
settings: {
indexHints: [
{
ns: { db: 'test', coll: 'pizzaOrders' },
allowedIndexes: [ 'orderDate_1' ]
}
],
queryFramework: 'classic',
comment: 'Index hint for orderDate_1 index to improve query performance'
},
representativeQuery: {
find: 'pizzaOrders',
filter: { orderDate: { '$gt': ISODate('2023-01-20T00:00:00.000Z') } },
sort: { totalNumber: 1 },
'$db': 'test'
}
}
]
6

The following example adds query settings for a distinct command:

db.adminCommand( {
setQuerySettings: {
distinct: "pizzaOrders",
key: "totalNumber",
query: { totalNumber: 10, orderDate :{ '$gt': ISODate('2023-01-20T00:00:00.000Z') } } ,
$db: "test"
},
settings: {
indexHints: {
ns: { db: "test", coll: "pizzaOrders" },
allowedIndexes: [ "orderDate_1" ]
},
queryFramework: "classic",
comment: "Index hint for orderDate_1 index to improve query performance"
}
} )
7

The following example adds query settings for an aggregate command:

db.adminCommand( {
setQuerySettings: {
aggregate: "pizzaOrders",
pipeline: [
{ $match: { totalNumber: 10, orderDate :{ '$gt': ISODate('2023-01-20T00:00:00.000Z') } } },
{ $group: {
_id: "$type",
totalMediumPizzaOrdersGroupedByType: { $sum: "$totalNumber" }
} }
],
$db: "test"
},
settings: {
indexHints: {
ns: { db: "test", coll: "pizzaOrders" },
allowedIndexes: [ "totalNumber_1" ]
},
queryFramework: "classic",
comment: "Index hint for totalNumber_1 index to improve query performance"
}
} )
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