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$indexStats (aggregation)

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  • Definition
  • Behavior
  • Example
$indexStats

Returns statistics regarding the use of each index for the collection. If running with access control, the user must have privileges that include indexStats action.

The $indexStats stage takes an empty document and has the following syntax:

{ $indexStats: { } }

For each index, the return document includes the following fields:

Output Field
Description
name
Index name.

Index key specification.

See also: spec.

The hostname and port of the mongod process.

Statistics on the index use:

  • ops is the number of operations that used the index.

  • since is the time from which MongoDB gathered the statistics.

The name of the shard associated with the host

Only available for a sharded cluster.

New in version 4.2.4.

The full specfication document for the index, which includes the index key specification document.

The index option hidden, available starting in MongoDB 4.4, is only included if the value is true.

New in version 4.2.4.

Indicates if the index is currently being built.

Only available if true.

New in version 4.2.4.

Statistics for an index will be reset on mongod restart or index drop and recreation.

Note

Prior to version 3.2.3, the ops field value did not include $match or mapReduce operations that use indexes.

The statistics reported by the accesses field only includes index access driven by user requests. It does not include internal operations like deletion via TTL Indexes or chunk split and migration operations.

  • $indexStats must be the first stage in an aggregation pipeline.

  • $indexStats is not allowed in transactions.

Modification of an existing index (see collMod command) resets the statistics for that index.

For example, a collection orders contains the following documents:

{ "_id" : 1, "item" : "abc", "price" : 12, "quantity" : 2, "type": "apparel" }
{ "_id" : 2, "item" : "jkl", "price" : 20, "quantity" : 1, "type": "electronics" }
{ "_id" : 3, "item" : "abc", "price" : 10, "quantity" : 5, "type": "apparel" }

Create the following two indexes on the collection:

db.orders.createIndex( { item: 1, quantity: 1 } )
db.orders.createIndex( { type: 1, item: 1 } )

Run some queries against the collection:

db.orders.find( { type: "apparel"} )
db.orders.find( { item: "abc" } ).sort( { quantity: 1 } )

To view statistics on the index use on the orders collection, run the following aggregation operation:

db.orders.aggregate( [ { $indexStats: { } } ] )

The operation returns a document that contains usage statistics for each index:

{
"name" : "item_1_quantity_1",
"key" : { "item" : 1, "quantity" : 1 },
"host" : "examplehost.local:27018",
"accesses" : {
"ops" : NumberLong(1),
"since" : ISODate("2020-02-10T21:11:23.059Z")
},
"shard" : "shardA", // Available starting in MongoDB 4.2.4 if run on sharded cluster
"spec" : { // Available starting in MongoDB 4.2.4
"v" : 2,
"key" : { "item" : 1, "quantity" : 1 },
"name" : "item_1_quantity_1"
}
}
{
"name" : "item_1_price_1",
"key" : { "item" : 1, "price" : 1 },
"host" : "examplehost.local:27018",
"accesses" : {
"ops" : NumberLong(1),
"since" : ISODate("2020-02-10T21:11:23.233Z")
},
"shard" : "shardA", // Available starting in MongoDB 4.2.4 if run on sharded cluster
"spec" : { // Available starting in MongoDB 4.2.4
"v" : 2,
"key" : { "item" : 1, "price" : 1 },
"name" : "item_1_price_1"
}
}
{
"name" : "item_1",
"key" : { "item" : 1 },
"host" : "examplehost.local:27018",
"accesses" : {
"ops" : NumberLong(0),
"since" : ISODate("2020-02-10T21:11:22.947Z")
},
"shard" : "shardA", // Available starting in MongoDB 4.2.4 if run on sharded cluster
"spec" : { // Available starting in MongoDB 4.2.4
"v" : 2,
"key" : { "item" : 1 },
"name" : "item_1"
}
}
{
"name" : "_id_",
"key" : { "_id" : 1 },
"host" : "examplehost.local:27018",
"accesses" : {
"ops" : NumberLong(0),
"since" : ISODate("2020-02-10T21:11:18.298Z")
},
"shard" : "shardA", // Available starting in MongoDB 4.2.4 if run on sharded cluster
"spec" : { // Available starting in MongoDB 4.2.4
"v" : 2,
"key" : { "_id" : 1 },
"name" : "_id_"
}
}

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$group (aggregation)