Reputation: 173
I have total 1644662 records in one of my collections, I have created index on one of my column named "document_type_id". When I run a query
db.getCollection('my_collection').find({"document_type_id": {"$in": ["7"]}}).count()
It returns count "753800" in 0.285 secs. And When I run a query
db.getCollection('my_collection').find({"document_type_id": {"$in": ["3"]}}).count()
It returns count "819438" in 0.365 secs. Both queries working perfect. But problem comes when I run query by combining both
db.getCollection('my_collection').find({"document_type_id": {"$in": ["3", "7"]}}).count()
This query takes 54 secs to return the count. Execution Plan for third query is as follows:
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "test.my_collection",
"indexFilterSet" : false,
"parsedQuery" : {
"document_type_id" : {
"$in" : [
"3",
"7"
]
}
},
"winningPlan" : {
"stage" : "COUNT",
"inputStage" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"document_type_id" : 1.0
},
"indexName" : "document_type_id_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"document_type_id" : []
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"document_type_id" : [
"[\"3\", \"3\"]",
"[\"7\", \"7\"]"
]
}
}
}
},
"rejectedPlans" : []
},
"executionStats" : {
"executionSuccess" : true,
"nReturned" : 0,
"executionTimeMillis" : 74166,
"totalKeysExamined" : 1573238,
"totalDocsExamined" : 1573238,
"executionStages" : {
"stage" : "COUNT",
"nReturned" : 0,
"executionTimeMillisEstimate" : 73504,
"works" : 1573239,
"advanced" : 0,
"needTime" : 1573238,
"needYield" : 0,
"saveState" : 14007,
"restoreState" : 14007,
"isEOF" : 1,
"invalidates" : 0,
"nCounted" : 1573238,
"nSkipped" : 0,
"inputStage" : {
"stage" : "FETCH",
"nReturned" : 1573238,
"executionTimeMillisEstimate" : 73253,
"works" : 1573239,
"advanced" : 1573238,
"needTime" : 0,
"needYield" : 0,
"saveState" : 14007,
"restoreState" : 14007,
"isEOF" : 1,
"invalidates" : 0,
"docsExamined" : 1573238,
"alreadyHasObj" : 0,
"inputStage" : {
"stage" : "IXSCAN",
"nReturned" : 1573238,
"executionTimeMillisEstimate" : 2729,
"works" : 1573239,
"advanced" : 1573238,
"needTime" : 0,
"needYield" : 0,
"saveState" : 14007,
"restoreState" : 14007,
"isEOF" : 1,
"invalidates" : 0,
"keyPattern" : {
"document_type_id" : 1.0
},
"indexName" : "document_type_id_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"document_type_id" : []
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"document_type_id" : [
"[\"3\", \"3\"]",
"[\"7\", \"7\"]"
]
},
"keysExamined" : 1573238,
"seeks" : 1,
"dupsTested" : 0,
"dupsDropped" : 0,
"seenInvalidated" : 0
}
}
}
},
"serverInfo" : {
"host" : "nb-fara",
"port" : 27017,
"version" : "3.4.9",
"gitVersion" : "876ebee8c7dd0e2d992f36a848ff4dc50ee6603e"
},
"ok" : 1.0
}
Upvotes: 4
Views: 3367
Reputation:
Have you tried the aggregate framework?
db.my_collection.aggregate( [
{ $project : { "document_type_id" : 1 }},
{ $match : { "document_type_id": { "$in": ["3", "7"] } } },
{ $group : { _id : '$document_type_id', count: { $sum: 1} } }
])
Upvotes: 0
Reputation: 14476
Looks like MongoDb is using the Mulikey Index but is only using it to lookup the Min/Max bounds due to it being a $in
query, you can read more here - https://docs.mongodb.com/manual/core/multikey-index-bounds/#intersect-bounds-for-multikey-index
Changing it to a or
should work
db.my_collection.count({"$or": [{"document_type_id": "3"}, {"document_type_id": "7"}]})
Upvotes: 0
Reputation: 454
With db version v3.0.7 getting below
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "test.test",
"indexFilterSet" : false,
"parsedQuery" : {
"document_type_id" : {
"$in" : [
"3",
"7"
]
}
},
"winningPlan" : {
"stage" : "COUNT",
"inputStage" : {
"stage" : "COLLSCAN",
"filter" : {
"document_type_id" : {
"$in" : [
"3",
"7"
]
}
},
"direction" : "forward"
}
},
"rejectedPlans" : [ ]
},
"executionStats" : {
"executionSuccess" : true,
"nReturned" : 0,
"executionTimeMillis" : 681,
"totalKeysExamined" : 0,
"totalDocsExamined" : 2000100,
"executionStages" : {
"stage" : "COUNT",
"nReturned" : 0,
"executionTimeMillisEstimate" : 630,
"works" : 2000102,
"advanced" : 0,
"needTime" : 2000101,
"needFetch" : 0,
"saveState" : 15625,
"restoreState" : 15625,
"isEOF" : 1,
"invalidates" : 0,
"nCounted" : 400020,
"nSkipped" : 0,
"inputStage" : {
"stage" : "COLLSCAN",
"filter" : {
"document_type_id" : {
"$in" : [
"3",
"7"
]
}
},
"nReturned" : 400020,
"executionTimeMillisEstimate" : 600,
"works" : 2000101,
"advanced" : 400020,
"needTime" : 1600081,
"needFetch" : 0,
"saveState" : 15625,
"restoreState" : 15625,
"isEOF" : 1,
"invalidates" : 0,
"direction" : "forward",
"docsExamined" : 2000100
}
}
},
"serverInfo" : {
"host" : "ptpll354",
"port" : 5000,
"version" : "3.0.7",
"gitVersion" : "6ce7cbe8c6b899552dadd907604559806aa2e9bd"
},
"ok" : 1
}
Upvotes: 0
Reputation: 9295
You should use
db.collection.count({...})
instead of
db.collection.find({...}).count()
because count()
can directly take a query as parameter, see db.collection.count()
for details
So your query would be:
db.getCollection('my_collection').count({"document_type_id": {"$in": ["3", "7"]}})
Here is the explain of this query (finished in ~0.202s on my machine with MongoDB 3.6.2):
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "test.test",
"indexFilterSet" : false,
"parsedQuery" : {
"document_type_id" : {
"$in" : [
"3",
"7"
]
}
},
"winningPlan" : {
"stage" : "COUNT",
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"document_type_id" : 1
},
"indexName" : "document_type_id_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"document_type_id" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"document_type_id" : [
"[\"3\", \"3\"]",
"[\"7\", \"7\"]"
]
}
}
},
"rejectedPlans" : [ ]
},
"executionStats" : {
"executionSuccess" : true,
"nReturned" : 0,
"executionTimeMillis" : 202,
"totalKeysExamined" : 274112,
"totalDocsExamined" : 0,
"executionStages" : {
"stage" : "COUNT",
"nReturned" : 0,
"executionTimeMillisEstimate" : 170,
"works" : 274112,
"advanced" : 0,
"needTime" : 274111,
"needYield" : 0,
"saveState" : 2141,
"restoreState" : 2141,
"isEOF" : 1,
"invalidates" : 0,
"nCounted" : 274110,
"nSkipped" : 0,
"inputStage" : {
"stage" : "IXSCAN",
"nReturned" : 274110,
"executionTimeMillisEstimate" : 140,
"works" : 274112,
"advanced" : 274110,
"needTime" : 1,
"needYield" : 0,
"saveState" : 2141,
"restoreState" : 2141,
"isEOF" : 1,
"invalidates" : 0,
"keyPattern" : {
"document_type_id" : 1
},
"indexName" : "document_type_id_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"document_type_id" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"document_type_id" : [
"[\"3\", \"3\"]",
"[\"7\", \"7\"]"
]
},
"keysExamined" : 274112,
"seeks" : 2,
"dupsTested" : 0,
"dupsDropped" : 0,
"seenInvalidated" : 0
}
}
},
"serverInfo" : {
"host" : "xxxxxxx",
"port" : 27017,
"version" : "3.6.2",
"gitVersion" : "489d177dbd0f0420a8ca04d39fd78d0a2c539420"
},
"ok" : 1
}
Upvotes: 4
Reputation: 91
db.getCollection('my_collection').find({"document_type_id": {"$or": ["3", "7"]}}).count()
Upvotes: 1