I am trying to fetch few documents in a collection, by making a find query on array of nested objects. Nested objects are indexed but find query is not using the index to fetch documents.
Here is the structure of a document.
"_id" : ObjectId("5bc6498c1ec4062983c4f4ef"),
"appId" : ObjectId("5bbc775036021bea06d9bbc2"),
"status" : "active",
"segmentations" : [
{
"name" : "ch-1",
"values" : [
'true'
],
"type" : "string"
},
{
"name" : "browerInfo",
"values" : [
"Firefox"
],
"version" : [
"62.0"
],
"majorVersion" : [
"62"
],
"type" : "string"
},
{
"name" : "OS",
"values" : [
"Ubuntu"
],
"type" : "string"
},
{
"name" : "lastVisitTime",
"values" : [
1539721615231.0
],
"type" : "number"
}
]
}
Here are the index fields.
{
"v" : 2,
"key" : {
"appId" : 1,
"status" : 1,
"segmentations.name" : 1,
"segmentations.values" : 1
},
"name" : "SEGMENT_INDEX",
"ns" : "test.Collname"
}
below is the find find query i was executing
db.Collname.find({
appId: ObjectId("5c6a8ef544ff62c73bdb98fc"),
"segmentations.name": 'ch-1',
'segmentations.values': 'true',
status: 'active'
}, {})
I tried to get the query execution information using
<above query>.explain("executionStats")
The result is
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "test.Collname",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"appId" : {
"$eq" : ObjectId("5c6a8ef544ff62c73bdb98fc")
}
},
{
"segmentations.name" : {
"$eq" : "ch-1"
}
},
{
"segmentations.values" : {
"$eq" : "true"
}
},
{
"status" : {
"$eq" : "active"
}
}
]
},
"winningPlan" : {
"stage" : "FETCH",
"filter" : {
"segmentations.values" : {
"$eq" : "true"
}
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"appId" : 1.0,
"status" : 1.0,
"segmentations.name" : 1.0,
"segmentations.values" : 1.0
},
"indexName" : "SEGMENT_INDEX",
"isMultiKey" : true,
"multiKeyPaths" : {
"appId" : [],
"status" : [],
"segmentations.name" : [
"segmentations"
],
"segmentations.values" : [
"segmentations",
"segmentations.values"
]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"appId" : [
"[ObjectId('5c6a8ef544ff62c73bdb98fc'), ObjectId('5c6a8ef544ff62c73bdb98fc')]"
],
"status" : [
"[\"active\", \"active\"]"
],
"segmentations.name" : [
"[\"ch-1\", \"ch-1\"]"
],
"segmentations.values" : [
"[MinKey, MaxKey]"
]
}
}
},
"rejectedPlans" : []
},
"executionStats" : {
"executionSuccess" : true,
"nReturned" : 28176,
"executionTimeMillis" : 72,
"totalKeysExamined" : 28176,
"totalDocsExamined" : 28176,
"executionStages" : {
"stage" : "FETCH",
"filter" : {
"segmentations.values" : {
"$eq" : "true"
}
},
"nReturned" : 28176,
"executionTimeMillisEstimate" : 70,
"works" : 28177,
"advanced" : 28176,
"needTime" : 0,
"needYield" : 0,
"saveState" : 220,
"restoreState" : 220,
"isEOF" : 1,
"invalidates" : 0,
"docsExamined" : 28176,
"alreadyHasObj" : 0,
"inputStage" : {
"stage" : "IXSCAN",
"nReturned" : 28176,
"executionTimeMillisEstimate" : 10,
"works" : 28177,
"advanced" : 28176,
"needTime" : 0,
"needYield" : 0,
"saveState" : 220,
"restoreState" : 220,
"isEOF" : 1,
"invalidates" : 0,
"keyPattern" : {
"appId" : 1.0,
"status" : 1.0,
"segmentations.name" : 1.0,
"segmentations.values" : 1.0
},
"indexName" : "SEGMENT_INDEX",
"isMultiKey" : true,
"multiKeyPaths" : {
"appId" : [],
"status" : [],
"segmentations.name" : [
"segmentations"
],
"segmentations.values" : [
"segmentations",
"segmentations.values"
]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"appId" : [
"[ObjectId('5c6a8ef544ff62c73bdb98fc'), ObjectId('5c6a8ef544ff62c73bdb98fc')]"
],
"status" : [
"[\"active\", \"active\"]"
],
"segmentations.name" : [
"[\"ch-1\", \"ch-1\"]"
],
"segmentations.values" : [
"[MinKey, MaxKey]"
]
},
"keysExamined" : 28176,
"seeks" : 1,
"dupsTested" : 28176,
"dupsDropped" : 0,
"seenInvalidated" : 0
}
}
},
"serverInfo" : {
"host" : "sys3029",
"port" : 27017,
"version" : "4.0.9",
"gitVersion" : "fc525e2d9b0e4bceff5c2201457e564362909765"
},
"ok" : 1.0
}
I could see from executionStats that "segmentations.values" field is not used in "IXSCAN" stage. And there is an extra filter stage on "segmentations.values". IXSCAN stage took just 10ms, where as FILTER stage took 50ms.
I couldn't understand why the field is not included in IXSCAN stage. My collection has around 3.2 Million documents and because of this issue query execution time is very high than expected.
Please help me fix the issue. Thank you in advance.
Please suggest me If I need to change my database structure, If it is not possible in mongodb,you can suggest some other database which supports above operations.