MongoDB Query plan not using compound index - mongodb

I am trying MongoDB with a dataset about the company profile margin for learning purpose. Here is the sample document
{
"parent_comp" : 1
"child_comp" : 101
"profit" : NumberLong(70320020)
}
I have created two indexes i.e one on child_comp field and the other one is a compound index with parent_comp, child_comp, and last_outage_timestamp.
For the below query, I executed the explain command to see the query plan.
MongoDB Enterprise > db.data.find({ "$and" : [{ "parent_comp" : 951, "child_comp" : 9351, "profit" : { "$gte" : { "$numberLong" : "500000000" } } }, { "profit" : { "$lte" : { "$numberLong" : "1000000000" } } }] }).sort({"profit" : 1}).limit(3).explain();
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "test.data",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"child_comp" : {
"$eq" : 9351
}
},
{
"parent_comp" : {
"$eq" : 951
}
},
{
"profit" : {
"$lte" : {
"$numberLong" : "1000000000"
}
}
},
{
"profit" : {
"$gte" : {
"$numberLong" : "500000000"
}
}
}
]
},
"queryHash" : "B570EF0C",
"planCacheKey" : "187EF74B",
"winningPlan" : {
"stage" : "LIMIT",
"limitAmount" : 3,
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"child_comp" : {
"$eq" : 9351
}
},
{
"parent_comp" : {
"$eq" : 951
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"profit" : 1
},
"indexName" : "profit_index",
"isMultiKey" : false,
"multiKeyPaths" : {
"profit" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"profit" : [
"[{ $numberLong: \"500000000\" }, { $numberLong: \"1000000000\" }]"
]
}
}
}
},
"rejectedPlans" : [
{
"stage" : "SORT",
"sortPattern" : {
"profit" : 1
},
"limitAmount" : 3,
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"parent_comp" : {
"$eq" : 951
}
},
{
"profit" : {
"$lte" : {
"$numberLong" : "1000000000"
}
}
},
{
"profit" : {
"$gte" : {
"$numberLong" : "500000000"
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"child_comp" : 1
},
"indexName" : "child_comp_index",
"isMultiKey" : false,
"multiKeyPaths" : {
"child_comp" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"child_comp" : [
"[9351.0, 9351.0]"
]
}
}
}
}
},
{
"stage" : "LIMIT",
"limitAmount" : 3,
"inputStage" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"parent_comp" : 1,
"child_comp" : 1,
"profit" : 1
},
"indexName" : "parent_comp_1_child_comp_1_profit_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"parent_comp" : [ ],
"child_comp" : [ ],
"profit" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"parent_comp" : [
"[951.0, 951.0]"
],
"child_comp" : [
"[9351.0, 9351.0]"
],
"profit" : [
"[{ $numberLong: \"500000000\" }, { $numberLong: \"1000000000\" }]"
]
}
}
}
}
]
},
"serverInfo" : {
"host" : "localhost",
"port" : 27017,
"version" : "4.2.8",
"gitVersion" : "43d25888249164d76d5e04dd6cf38f6111e21f5f"
},
"ok" : 1
}
As you can see winning plan used single index instead of compound index. So could you please let me know why compound index was not used.

Your query is sorting on profit, and the compound index does not include the field you are sorting on hence using the compound index would necessitate an additional sort stage.
The trade-offs and reasoning is further explained in the docs.
See also https://www.alexbevi.com/blog/2020/05/16/optimizing-mongodb-compound-indexes-the-equality-sort-range-esr-rule/.

Related

MongoDB 4.4 slow query

I execute a query command in mongos, but it executes for a long time.
mongos> db.message.find({"toid":123,"$or":[{"rid":2},{"validtime":null},{"fromid":2},{"validtime":{"$lt":1649565335}}]}).sort({sortid:-1}).limit(10)
slow query log like this:
{
"op" : "command",
"ns" : "sns.message",
"command" : {
"explain" : {
"find" : "message",
"filter" : {
"toid" : 123,
"$or" : [
{
"rid" : 2
},
{
"validtime" : null
},
{
"fromid" : 2
},
{
"validtime" : {
"$lt" : 1649565335
}
}
]
},
"limit" : 10,
"singleBatch" : true,
"sort" : {
"sortid" : -1
},
"options" : {
}
},
"verbosity" : "executionStats",
"$db" : "sns"
},
"numYield" : 6477,
"locks" : {
"ReplicationStateTransition" : {
"acquireCount" : {
"w" : NumberLong(6479)
}
},
"Global" : {
"acquireCount" : {
"r" : NumberLong(6479)
}
},
"Database" : {
"acquireCount" : {
"r" : NumberLong(6478)
}
},
"Collection" : {
"acquireCount" : {
"r" : NumberLong(6478)
}
},
"Mutex" : {
"acquireCount" : {
"r" : NumberLong(1)
}
}
},
"flowControl" : {
},
"storage" : {
"data" : {
"bytesRead" : NumberLong(91629495),
"timeReadingMicros" : NumberLong(68943)
}
},
"responseLength" : 5159,
"protocol" : "op_query",
"millis" : 13477,
"ts" : ISODate("2022-04-11T05:46:33.221Z"),
"client" : "127.0.0.1",
"allUsers" : [ ],
"user" : ""
}
and the explain information is as follows:
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "sns.message",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"$or" : [
{
"fromid" : {
"$eq" : 2
}
},
{
"rid" : {
"$eq" : 2
}
},
{
"validtime" : {
"$eq" : null
}
},
{
"validtime" : {
"$lt" : 1649565335
}
}
]
},
{
"toid" : {
"$eq" : 123
}
}
]
},
"winningPlan" : {
"stage" : "LIMIT",
"limitAmount" : 10,
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"$or" : [
{
"fromid" : {
"$eq" : 2
}
},
{
"rid" : {
"$eq" : 2
}
},
{
"validtime" : {
"$eq" : null
}
},
{
"validtime" : {
"$lt" : 1649565335
}
}
]
},
{
"toid" : {
"$eq" : 123
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"sortid" : 1,
"toid" : 1
},
"indexName" : "toid_1_sortid_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"sortid" : [ ],
"toid" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "backward",
"indexBounds" : {
"sortid" : [
"[MaxKey, MinKey]"
],
"toid" : [
"[MaxKey, MinKey]"
]
}
}
}
},
"rejectedPlans" : [
{
"stage" : "SORT",
"sortPattern" : {
"sortid" : -1
},
"memLimit" : 104857600,
"limitAmount" : 10,
"type" : "simple",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$or" : [
{
"fromid" : {
"$eq" : 2
}
},
{
"rid" : {
"$eq" : 2
}
},
{
"validtime" : {
"$eq" : null
}
},
{
"validtime" : {
"$lt" : 1649565335
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"toid" : 1
},
"indexName" : "toid_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"toid" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"toid" : [
"[123.0, 123.0]"
]
}
}
}
},
{
"stage" : "SORT",
"sortPattern" : {
"sortid" : -1
},
"memLimit" : 104857600,
"limitAmount" : 10,
"type" : "simple",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$or" : [
{
"fromid" : {
"$eq" : 2
}
},
{
"rid" : {
"$eq" : 2
}
},
{
"validtime" : {
"$eq" : null
}
},
{
"validtime" : {
"$lt" : 1649565335
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"toid" : 1,
"replyid" : 1
},
"indexName" : "toid_1_replyid_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"toid" : [ ],
"replyid" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"toid" : [
"[123.0, 123.0]"
],
"replyid" : [
"[MinKey, MaxKey]"
]
}
}
}
},
{
"stage" : "SORT",
"sortPattern" : {
"sortid" : -1
},
"memLimit" : 104857600,
"limitAmount" : 10,
"type" : "simple",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$or" : [
{
"fromid" : {
"$eq" : 2
}
},
{
"rid" : {
"$eq" : 2
}
},
{
"validtime" : {
"$eq" : null
}
},
{
"validtime" : {
"$lt" : 1649565335
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"toid" : 1,
"validtime" : 1,
"time" : 1
},
"indexName" : "toid_1_validtime_1_time_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"toid" : [ ],
"validtime" : [ ],
"time" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"toid" : [
"[123.0, 123.0]"
],
"validtime" : [
"[MinKey, MaxKey]"
],
"time" : [
"[MinKey, MaxKey]"
]
}
}
}
},
// omit...
]
},
"executionStats" : {
"executionSuccess" : true,
"nReturned" : 10,
"executionTimeMillis" : 13477,
"totalKeysExamined" : 1295456,
"totalDocsExamined" : 1295456,
"executionStages" : {
"stage" : "LIMIT",
"nReturned" : 10,
"executionTimeMillisEstimate" : 700,
"works" : 1295457,
"advanced" : 10,
"needTime" : 1295446,
"needYield" : 0,
"saveState" : 6477,
"restoreState" : 6477,
"isEOF" : 1,
"limitAmount" : 10,
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"$or" : [
{
"fromid" : {
"$eq" : 2
}
},
{
"rid" : {
"$eq" : 2
}
},
{
"validtime" : {
"$eq" : null
}
},
{
"validtime" : {
"$lt" : 1649565335
}
}
]
},
{
"toid" : {
"$eq" : 123
}
}
]
},
"nReturned" : 10,
"executionTimeMillisEstimate" : 690,
"works" : 1295456,
"advanced" : 10,
"needTime" : 1295446,
"needYield" : 0,
"saveState" : 6477,
"restoreState" : 6477,
"isEOF" : 0,
"docsExamined" : 1295456,
"alreadyHasObj" : 0,
"inputStage" : {
"stage" : "IXSCAN",
"nReturned" : 1295456,
"executionTimeMillisEstimate" : 188,
"works" : 1295456,
"advanced" : 1295456,
"needTime" : 0,
"needYield" : 0,
"saveState" : 6477,
"restoreState" : 6477,
"isEOF" : 0,
"keyPattern" : {
"sortid" : 1,
"toid" : 1
},
"indexName" : "toid_1_sortid_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"sortid" : [ ],
"toid" : [ ]
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "backward",
"indexBounds" : {
"sortid" : [
"[MaxKey, MinKey]"
],
"toid" : [
"[MaxKey, MinKey]"
]
},
"keysExamined" : 1295456,
"seeks" : 1,
"dupsTested" : 0,
"dupsDropped" : 0
}
}
}
},
"serverInfo" : {
"host" : "MongoDB",
"port" : 22005,
"version" : "4.4.13",
"gitVersion" : "df25c71b8674a78e17468f48bcda5285decb9246"
},
"ok" : 1,
"$gleStats" : {
"lastOpTime" : Timestamp(0, 0),
"electionId" : ObjectId("7fffffff0000000000000001")
},
"lastCommittedOpTime" : Timestamp(1649655993, 20),
"$configServerState" : {
"opTime" : {
"ts" : Timestamp(1649655992, 11),
"t" : NumberLong(1)
}
},
"$clusterTime" : {
"clusterTime" : Timestamp(1649655993, 26),
"signature" : {
"hash" : BinData(0,"AAAAAAAAAAAAAAAAAAAAAAAAAAA="),
"keyId" : NumberLong(0)
}
},
"operationTime" : Timestamp(1649655993, 26)
}
in the "executionStats" block, both the "LIMIT" stage and its substage take less than or equal to 700ms, but the total time is 13477ms. what happened during this time? How can I locate the reason for the time consuming? And Looking forward to optimization suggestions.
Thanks
The total executionTimeMillis is the "total" amount of time required for both planning + execution, this means there are certain factors now calculated in the breakdown per stage.
For example:
Lock acquisition / overall db load.
When planning only a 100 document sample is examined, however as you can see for the actual query over 1milion documents are being fetched. If the there are other operations on the same collection that lock it or if the db is in general under heavy load this can affect performance as your query is waiting in line for resources.
Disk latency
As you can see your docsExamined is equal to keysExamined, this means that every single documents that matched the query needed to be fetched from disk to be examined.
This is quite a lot of overhead. and I suspect this is the main "issue" regarding performance. You could probably lower this by creating a proper compound index to satisfy this query.
You can also add a disk with more IOPS, boosting hardware will always increase performance, especially if it's at the bottleneck places.

MongoDB (text search with the relevant field) aggregation problem

I have the MongoDB aggregation query
db.data.aggregate([{ "$match" : { "$text" : { "$search" : "STORAGE TYPE" } } },
{ "$group" :
{ "_id" :{"doc_type": "$doc_type" ,"title" : "$title", "player_name" : "$player_name", "player_type" : "INSTITUTION", "country_code" :"$country_code" },
"number_records" : { "$sum" : 1}
}
},
{"$match" : {"doc_type": "PATENT"} },
{"$sort":{"number_records" : -1}},
{"$limit" : 10}],
{"allowDiskuse" : true}
)
When I tried to execute the above code, it keeps on buffering for a long time, I am not getting any output. Can anyone help me?
When I used command explain(), it shows the following code:
{
"stages" : [
{
"$cursor" : {
"query" : {
"$and" : [
{
"$text" : {
"$search" : "STORAGE TYPE"
}
},
{
"doc_type" : "PATENT"
}
]
},
"fields" : {
"country_code" : 1,
"doc_type" : 1,
"player_name" : 1,
"title" : 1,
"_id" : 0
},
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "datadocuments.data",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"doc_type" : {
"$eq" : "PATENT"
}
},
{
"$text" : {
"$search" : "STORAGE TYPE",
"$language" : "english",
"$caseSensitive" : false,
"$diacriticSensitive" : false
}
}
]
},
"winningPlan" : {
"stage" : "FETCH",
"filter" : {
"doc_type" : {
"$eq" : "PATENT"
}
},
"inputStage" : {
"stage" : "TEXT",
"indexPrefix" : {
},
"indexName" : "title",
"parsedTextQuery" : {
"terms" : [
"storag",
"type"
],
"negatedTerms" : [ ],
"phrases" : [ ],
"negatedPhrases" : [ ]
},
"textIndexVersion" : 3,
"inputStage" : {
"stage" : "TEXT_MATCH",
"inputStage" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "OR",
"inputStages" : [
{
"stage" : "IXSCAN",
"keyPattern" : {
"_fts" : "text",
"_ftsx" : 1
},
"indexName" : "title",
"isMultiKey" : true,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "backward",
"indexBounds" : {
}
},
{
"stage" : "IXSCAN",
"keyPattern" : {
"_fts" : "text",
"_ftsx" : 1
},
"indexName" : "title",
"isMultiKey" : true,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "backward",
"indexBounds" : {
}
}
]
}
}
}
}
},
"rejectedPlans" : [ ]
}
}
},
{
"$group" : {
"_id" : {
"doc_type" : "$doc_type",
"title" : "$title",
"player_name" : "$player_name",
"player_type" : {
"$const" : "INSTITUTION"
},
"country_code" : "$country_code"
},
"number_records" : {
"$sum" : {
"$const" : 1
}
}
}
},
{
"$sort" : {
"sortKey" : {
"number_records" : -1
},
"limit" : NumberLong("10")
}
}
],
"ok" : 1
}
I couldn't figure out the mistake; is there any problem in aggregation, if not, how to increase the performance?
Your error comes from your second match stage : at this point, doc_type doesn't exist, but _id.doc_type instead. But you bettermerge this stage with the first one, to improve performance by reducing number of documents passed to the $group stage.
Your improved query will be :
db.data.aggregate([
{"$match" : { "$text" : { "$search" : "STORAGE TYPE" `},"doc_type": "PATENT" } },`
{ "$group" :
{ "_id" :{"doc_type": "$doc_type" ,"title" : "$title", "player_name" : "$player_name", "player_type" : "INSTITUTION", "country_code" :"$country_code" },
"number_records" : { "$sum" : 1}
}
},
{"$sort":{"number_records" : -1}},
{"$limit" : 10}],
{"allowDiskuse" : true}
)

Mongo Find complete at 0.105 sec, But count takes 1.0059 sec: Total 30024 records

My Count query is very slow. I have made the indexes and believe hence the Find query return records in 0.105 sec.
db.collectionname.find({}) => 0.105 sec
When do count with the same query it takes 1.0059 sec.
db.collectionname.count({}) => 1.0059 sec
There are 2L records in total in my collection and search result is 30024 records.
Please guide me what are the steps I need to take?
Mongo Version is : 3.2
db.getCollection('beta').find({"status":"1",
"type.und.value":"beta","state":{"$in":["a","b"]},
"changed":{"$gte":1463804682},"uid":{"$ne":"333"},
"price":{"$ne":[]}}).explain()
/* 1 */ {
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "beta",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"type.und.value" : {
"$eq" : "beta"
}
},
{
"status" : {
"$eq" : "1"
}
},
{
"changed" : {
"$gte" : 1463804682.0
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"price" : {
"$eq" : []
}
}
},
{
"$not" : {
"uid" : {
"$eq" : "333"
}
}
}
]
},
"winningPlan" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"type.und.value" : {
"$eq" : "beta"
}
},
{
"status" : {
"$eq" : "1"
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"price" : {
"$eq" : []
}
}
},
{
"$not" : {
"uid" : {
"$eq" : "333"
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"changed" : 1.0
},
"indexName" : "changed_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"changed" : [
"[1463804682.0, inf.0]"
]
}
}
},
"rejectedPlans" : [
{
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"type.und.value" : {
"$eq" : "beta"
}
},
{
"status" : {
"$eq" : "1"
}
},
{
"changed" : {
"$gte" : 1463804682.0
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"price" : {
"$eq" : []
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"uid" : 1.0
},
"indexName" : "uid_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"uid" : [
"[MinKey, \"333\")",
"(\"333\", MaxKey]"
]
}
}
},
{
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"$not" : {
"price" : {
"$eq" : []
}
}
},
{
"type.und.value" : {
"$eq" : "beta"
}
},
{
"status" : {
"$eq" : "1"
}
},
{
"changed" : {
"$gte" : 1463804682.0
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"uid" : {
"$eq" : "333"
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"price" : 1.0
},
"indexName" : "price_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"price" : [
"[MinKey, undefined)",
"(undefined, [])",
"([], MaxKey]"
]
}
}
},
{
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"status" : {
"$eq" : "1"
}
},
{
"changed" : {
"$gte" : 1463804682.0
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"price" : {
"$eq" : []
}
}
},
{
"$not" : {
"uid" : {
"$eq" : "333"
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"type.und.value" : 1.0
},
"indexName" : "type.und.value_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"type.und.value" : [
"[\"beta\", \"beta\"]"
]
}
}
},
{
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"type.und.value" : {
"$eq" : "beta"
}
},
{
"status" : {
"$eq" : "1"
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"price" : {
"$eq" : []
}
}
},
{
"$not" : {
"uid" : {
"$eq" : "333"
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"changed" : -1
},
"indexName" : "_changed",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"changed" : [
"[inf.0, 1463804682.0]"
]
}
}
},
{
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"type.und.value" : {
"$eq" : "beta"
}
},
{
"changed" : {
"$gte" : 1463804682.0
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"price" : {
"$eq" : []
}
}
},
{
"$not" : {
"uid" : {
"$eq" : "333"
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"status" : 1.0
},
"indexName" : "status_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"status" : [
"[\"1\", \"1\"]"
]
}
}
}
]
},
"serverInfo" : {
"host" : "xxx",
"port" : xxx,
"version" : "3.2.13",
"gitVersion" : "xxx"
},
"ok" : 1.0 }
==========================================
db.getCollection('beta').explain().count({"status":"1",
"type.und.value":"beta","state":{"$in":["a","b"]},
"changed":{"$gte":1463804682},"uid":{"$ne":"333"},
"price":{"$ne":[]}})
/* 1 */ {
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "property.beta",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"type.und.value" : {
"$eq" : "beta"
}
},
{
"status" : {
"$eq" : "1"
}
},
{
"changed" : {
"$gte" : 1463804682.0
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"price" : {
"$eq" : []
}
}
},
{
"$not" : {
"uid" : {
"$eq" : "333"
}
}
}
]
},
"winningPlan" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"type.und.value" : {
"$eq" : "beta"
}
},
{
"status" : {
"$eq" : "1"
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"price" : {
"$eq" : []
}
}
},
{
"$not" : {
"uid" : {
"$eq" : "333"
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"changed" : 1.0
},
"indexName" : "changed_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"changed" : [
"[1463804682.0, inf.0]"
]
}
}
},
"rejectedPlans" : [
{
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"type.und.value" : {
"$eq" : "beta"
}
},
{
"status" : {
"$eq" : "1"
}
},
{
"changed" : {
"$gte" : 1463804682.0
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"price" : {
"$eq" : []
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"uid" : 1.0
},
"indexName" : "uid_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"uid" : [
"[MinKey, \"333\")",
"(\"333\", MaxKey]"
]
}
}
},
{
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"$not" : {
"price" : {
"$eq" : []
}
}
},
{
"type.und.value" : {
"$eq" : "beta"
}
},
{
"status" : {
"$eq" : "1"
}
},
{
"changed" : {
"$gte" : 1463804682.0
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"uid" : {
"$eq" : "333"
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"price" : 1.0
},
"indexName" : "price_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"price" : [
"[MinKey, undefined)",
"(undefined, [])",
"([], MaxKey]"
]
}
}
},
{
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"status" : {
"$eq" : "1"
}
},
{
"changed" : {
"$gte" : 1463804682.0
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"price" : {
"$eq" : []
}
}
},
{
"$not" : {
"uid" : {
"$eq" : "333"
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"type.und.value" : 1.0
},
"indexName" : "type.und.value_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"type.und.value" : [
"[\"beta\", \"beta\"]"
]
}
}
},
{
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"type.und.value" : {
"$eq" : "beta"
}
},
{
"status" : {
"$eq" : "1"
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"price" : {
"$eq" : []
}
}
},
{
"$not" : {
"uid" : {
"$eq" : "333"
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"changed" : -1
},
"indexName" : "_changed",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"changed" : [
"[inf.0, 1463804682.0]"
]
}
}
},
{
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"type.und.value" : {
"$eq" : "beta"
}
},
{
"changed" : {
"$gte" : 1463804682.0
}
},
{
"state" : {
"$in" : [
"a",
"b"
]
}
},
{
"$not" : {
"price" : {
"$eq" : []
}
}
},
{
"$not" : {
"uid" : {
"$eq" : "333"
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"status" : 1.0
},
"indexName" : "status_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"status" : [
"[\"1\", \"1\"]"
]
}
}
}
]
},
"serverInfo" : {
"host" : "xxx",
"port" : xxx,
"version" : "3.2.13",
"gitVersion" : "xxx"
},
"ok" : 1.0 }

Mongo date range index with filters

We have the below query
db.Comment.find(
{
$and: [
{ reportCount: { $gt: 0 } },
{ assignee: { $exists: false } },
{ creationDate: { $gt: new Date(1507831097809) } },
{ creationDate: { $lt: new Date(1508522297966) } },
{ siteId: 'MAIN' },
{ parent: { $exists: false } },
{ status: 'ACTIVE' }
]
})
.sort({ creationDate: 1 })
And we have an index
{
"v" : 2,
"key" : {
"creationDate" : 1,
"reportCount" : 1,
"label" : 1
}
}
Here are explain results:
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "myNameSpace",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"siteId" : {
"$eq" : "MAIN"
}
},
{
"status" : {
"$eq" : "ACTIVE"
}
},
{
"creationDate" : {
"$lt" : ISODate("2017-10-20T17:58:17.966Z")
}
},
{
"creationDate" : {
"$gt" : ISODate("2017-10-12T17:58:17.809Z")
}
},
{
"reportCount" : {
"$gt" : 0.0
}
},
{
"$nor" : [
{
"assignee" : {
"$exists" : true
}
}
]
},
{
"$nor" : [
{
"parent" : {
"$exists" : true
}
}
]
}
]
},
"winningPlan" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"siteId" : {
"$eq" : "MAIN"
}
},
{
"status" : {
"$eq" : "ACTIVE"
}
},
{
"$nor" : [
{
"assignee" : {
"$exists" : true
}
}
]
},
{
"$nor" : [
{
"parent" : {
"$exists" : true
}
}
]
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"creationDate" : 1.0,
"reportCount" : 1.0,
"label" : 1.0
},
"indexName" : "creationDate_1_reportCount_1_label_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"creationDate" : [],
"reportCount" : [],
"label" : []
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"creationDate" : [
"(new Date(1507831097809), new Date(1508522297966))"
],
"reportCount" : [
"(0.0, inf.0]"
],
"label" : [
"[MinKey, MaxKey]"
]
}
}
},
"rejectedPlans" : [
{
"stage" : "SORT",
"sortPattern" : {
"creationDate" : 1.0
},
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"$nor" : [
{
"parent" : {
"$exists" : true
}
}
]
},
{
"siteId" : {
"$eq" : "MAIN"
}
},
{
"status" : {
"$eq" : "ACTIVE"
}
},
{
"creationDate" : {
"$lt" : ISODate("2017-10-20T17:58:17.966Z")
}
},
{
"creationDate" : {
"$gt" : ISODate("2017-10-12T17:58:17.809Z")
}
},
{
"reportCount" : {
"$gt" : 0.0
}
},
{
"$nor" : [
{
"assignee" : {
"$exists" : true
}
}
]
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"parent" : 1.0
},
"indexName" : "parent_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"parent" : []
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"parent" : [
"[null, null]"
]
}
}
}
}
},
{
"stage" : "SORT",
"sortPattern" : {
"creationDate" : 1.0
},
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"$nor" : [
{
"assignee" : {
"$exists" : true
}
}
]
},
{
"siteId" : {
"$eq" : "MAIN"
}
},
{
"status" : {
"$eq" : "ACTIVE"
}
},
{
"creationDate" : {
"$lt" : ISODate("2017-10-20T17:58:17.966Z")
}
},
{
"creationDate" : {
"$gt" : ISODate("2017-10-12T17:58:17.809Z")
}
},
{
"reportCount" : {
"$gt" : 0.0
}
},
{
"$nor" : [
{
"parent" : {
"$exists" : true
}
}
]
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"assignee" : 1.0
},
"indexName" : "assignee_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"assignee" : []
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"assignee" : [
"[null, null]"
]
}
}
}
}
},
{
"stage" : "SORT",
"sortPattern" : {
"creationDate" : 1.0
},
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"status" : {
"$eq" : "ACTIVE"
}
},
{
"creationDate" : {
"$lt" : ISODate("2017-10-20T17:58:17.966Z")
}
},
{
"creationDate" : {
"$gt" : ISODate("2017-10-12T17:58:17.809Z")
}
},
{
"reportCount" : {
"$gt" : 0.0
}
},
{
"$nor" : [
{
"assignee" : {
"$exists" : true
}
}
]
},
{
"$nor" : [
{
"parent" : {
"$exists" : true
}
}
]
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"siteId" : 1.0,
"updatedDate" : 1.0,
"label" : 1.0
},
"indexName" : "siteId_1_updatedDate_1_label_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"siteId" : [],
"updatedDate" : [],
"label" : []
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"siteId" : [
"[\"MAIN\", \"MAIN\"]"
],
"updatedDate" : [
"[MinKey, MaxKey]"
],
"label" : [
"[MinKey, MaxKey]"
]
}
}
}
}
},
{
"stage" : "SORT",
"sortPattern" : {
"creationDate" : 1.0
},
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"$nor" : [
{
"parent" : {
"$exists" : true
}
}
]
},
{
"$nor" : [
{
"assignee" : {
"$exists" : true
}
}
]
},
{
"siteId" : {
"$eq" : "MAIN"
}
},
{
"status" : {
"$eq" : "ACTIVE"
}
},
{
"creationDate" : {
"$lt" : ISODate("2017-10-20T17:58:17.966Z")
}
},
{
"creationDate" : {
"$gt" : ISODate("2017-10-12T17:58:17.809Z")
}
},
{
"reportCount" : {
"$gt" : 0.0
}
}
]
},
"inputStage" : {
"stage" : "AND_SORTED",
"inputStages" : [
{
"stage" : "IXSCAN",
"keyPattern" : {
"parent" : 1.0
},
"indexName" : "parent_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"parent" : []
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"parent" : [
"[null, null]"
]
}
},
{
"stage" : "IXSCAN",
"keyPattern" : {
"assignee" : 1.0
},
"indexName" : "assignee_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"assignee" : []
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"assignee" : [
"[null, null]"
]
}
}
]
}
}
}
}
]
},
"executionStats" : {
"executionSuccess" : true,
"nReturned" : 19,
"executionTimeMillis" : 8,
"totalKeysExamined" : 533,
"totalDocsExamined" : 56,
"executionStages" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"siteId" : {
"$eq" : "MAIN"
}
},
{
"status" : {
"$eq" : "ACTIVE"
}
},
{
"$nor" : [
{
"assignee" : {
"$exists" : true
}
}
]
},
{
"$nor" : [
{
"parent" : {
"$exists" : true
}
}
]
}
]
},
"nReturned" : 19,
"executionTimeMillisEstimate" : 0,
"works" : 534,
"advanced" : 19,
"needTime" : 513,
"needYield" : 0,
"saveState" : 20,
"restoreState" : 20,
"isEOF" : 1,
"invalidates" : 0,
"docsExamined" : 56,
"alreadyHasObj" : 0,
"inputStage" : {
"stage" : "IXSCAN",
"nReturned" : 56,
"executionTimeMillisEstimate" : 0,
"works" : 533,
"advanced" : 56,
"needTime" : 476,
"needYield" : 0,
"saveState" : 20,
"restoreState" : 20,
"isEOF" : 1,
"invalidates" : 0,
"keyPattern" : {
"creationDate" : 1.0,
"reportCount" : 1.0,
"label" : 1.0
},
"indexName" : "creationDate_1_reportCount_1_label_1",
"isMultiKey" : false,
"multiKeyPaths" : {
"creationDate" : [],
"reportCount" : [],
"label" : []
},
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"creationDate" : [
"(new Date(1507831097809), new Date(1508522297966))"
],
"reportCount" : [
"(0.0, inf.0]"
],
"label" : [
"[MinKey, MaxKey]"
]
},
"keysExamined" : 533,
"seeks" : 477,
"dupsTested" : 0,
"dupsDropped" : 0,
"seenInvalidated" : 0
}
}
},
"ok" : 1.0
}
The query is still taking 700-800 ms to return the data. How can I change the index to make the query run faster? Don't consider "keysExamined" : 533, "seeks" : 477, This data. This is just test data.
Looks like its using an index but only the first field in the index? Also multuKey is false?
A few key points from the explain plan output:
The query addresses the following attributes: siteId, status, creationDate, reportCount, assignee, parent
The winning plan has two stages:
IX_SCAN uses creationDate_1_reportCount_1_label_1, this uses indexed lookups on creationDate and reportCount to identify 56 documents which are then forwarded to the FETCH stage
FETCH receives 56 documents from the IX_SCAN stage and then interrogates these documents to apply the siteId, status, assignee and parent filters. This interrogation causes 37 documents to be discarded resulting in 19 document to be returned.
So, your index covers just 2 of the 6 attributes in your query and the remaining 4 attributes in your query are applied by examining the documents not the index. If you want this query to be fully index covered then create the following index:
db.collection.createIndex(
{siteId: 1, status: 1, creationDate: 1, reportCount: 1, assignee: 1, parent: 1}
)
If you re run with this index in place then you should find that (a) MongoDB chooses this index and (b) the number of documents forwarded by the IX_SCAN stage is the same as the number of documents returned by your find call.
I say "should find" because there are other aspects here which might result in MongoDB choosing a different index e.g. use of $nor and the sort stage (creationDate: 1). I would recommend tweaking the index and running with explain 'on' after each tweak and looking for these key items in the executionStats sub document:
"nReturned"
"totalKeysExamined"
"totalDocsExamined"
A simple rule of thumb is this: the closer totalKeysExamined is to nReturned and the closer totalDocsExamined is to zero ... the better your index coverage.
There is also the question of the cost of an index (in terms of impact on write times and index storage) so I'd suggest considering your non functional requirements - can your desired elapsed times be achieved without full index coverage? If not, then you should proceed with empirical testing but be prepared to tweak your choice in reponse to what the explain() output tells you.

MongoDB use index with $nin seems not to work in combination with $regex

It seems that my index in my MongoDB is not correct.
I have created 3 indexes. These:
{
_id: 1
}
{
isbn: 1
}
{
_id: 1,
isbn: 1
}
When doing a query with isbn or _id its working perfect. Even with isbn and _id. For example:
db.getCollection('books').find({
isbn: {
$regex: '^978048627.*'
},
_id: 'vGXejKQH5kw8Kfutk'
}
needs around 3ms.
But lets now say I want to search for an ISBN and need to exclude some _ids - I do this:
db.getCollection('books').find({
isbn: {
$regex: '^97804862731.*'
},
_id: {
$nin:['vGXejKQH5kw8Kfutk']
}
})
Now its not working as it should. The query took more then 10 seconds!
When I do a isbn search without $regex but with $nin its works perfect - again around 3ms for the query. Example:
db.getCollection('books').find({
isbn: '9780486273136',
_id: {
$nin:['vGXejKQH5kw8Kfutk']
}
})
Am I doing something wrong ? And why the index is not working correctly as it should ?
Here is the .explain() output when querying the 10 seconds query:
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "***.books",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"isbn" : /^97804862731.*/
},
{
"$not" : {
"_id" : {
"$in" : [
"vGXejKQH5kw8Kfutk"
]
}
}
}
]
},
"winningPlan" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "IXSCAN",
"filter" : {
"isbn" : /^97804862731.*/
},
"keyPattern" : {
"isbn" : 1.0,
"_id" : 1.0
},
"indexName" : "isbn_1__id_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"isbn" : [
"[\"97804862731\", \"97804862732\")",
"[/^97804862731.*/, /^97804862731.*/]"
],
"_id" : [
"[MinKey, \"vGXejKQH5kw8Kfutk\")",
"(\"vGXejKQH5kw8Kfutk\", MaxKey]"
]
}
}
},
"rejectedPlans" : [
{
"stage" : "FETCH",
"filter" : {
"isbn" : /^97804862731.*/
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"_id" : 1
},
"indexName" : "_id_",
"isMultiKey" : false,
"isUnique" : true,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"_id" : [
"[MinKey, \"vGXejKQH5kw8Kfutk\")",
"(\"vGXejKQH5kw8Kfutk\", MaxKey]"
]
}
}
},
{
"stage" : "FETCH",
"filter" : {
"$not" : {
"_id" : {
"$in" : [
"vGXejKQH5kw8Kfutk"
]
}
}
},
"inputStage" : {
"stage" : "IXSCAN",
"filter" : {
"isbn" : /^97804862731.*/
},
"keyPattern" : {
"isbn" : 1
},
"indexName" : "isbn_1",
"isMultiKey" : false,
"isUnique" : true,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"isbn" : [
"[\"97804862731\", \"97804862732\")",
"[/^97804862731.*/, /^97804862731.*/]"
]
}
}
}
]
},
"serverInfo" : {
"host" : "Ubuntu-1604-xenial-64-minimal",
"port" : 27017,
"version" : "3.2.11",
"gitVersion" : "009580ad490190ba33d1c6253ebd8d91808923e4"
},
"ok" : 1.0
}
Solution
My solution - I do not know why - but is to use $and and $ne instead of $nin.
My query looks like this now:
db.getCollection('books').find({isbn:{$regex: '^97804862731.*'}, $and: [
{
_id: {
$ne: 'vGXejKQH5kw8Kfutk'
}
},
{
_id: {
$ne: 'another-id'
}
}
]})
and just takes around 3ms
Maybe someone can explain how this can happen ?
The explain() of this query
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "***.books",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"isbn" : /^97804862731.*/
},
{
"$not" : {
"_id" : {
"$eq" : "vGXejKQH5kw8Kfutk"
}
}
},
{
"$not" : {
"_id" : {
"$eq" : "another-id"
}
}
}
]
},
"winningPlan" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "IXSCAN",
"filter" : {
"isbn" : /^97804862731.*/
},
"keyPattern" : {
"isbn" : 1.0,
"_id" : 1.0
},
"indexName" : "isbn_1__id_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"isbn" : [
"[\"97804862731\", \"97804862732\")",
"[/^97804862731.*/, /^97804862731.*/]"
],
"_id" : [
"[MinKey, \"another-id\")",
"(\"another-id\", \"vGXejKQH5kw8Kfutk\")",
"(\"vGXejKQH5kw8Kfutk\", MaxKey]"
]
}
}
},
"rejectedPlans" : [
{
"stage" : "FETCH",
"filter" : {
"isbn" : /^97804862731.*/
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"_id" : 1
},
"indexName" : "_id_",
"isMultiKey" : false,
"isUnique" : true,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"_id" : [
"[MinKey, \"another-id\")",
"(\"another-id\", \"vGXejKQH5kw8Kfutk\")",
"(\"vGXejKQH5kw8Kfutk\", MaxKey]"
]
}
}
},
{
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"$not" : {
"_id" : {
"$eq" : "vGXejKQH5kw8Kfutk"
}
}
},
{
"$not" : {
"_id" : {
"$eq" : "another-id"
}
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"filter" : {
"isbn" : /^97804862731.*/
},
"keyPattern" : {
"isbn" : 1
},
"indexName" : "isbn_1",
"isMultiKey" : false,
"isUnique" : true,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"isbn" : [
"[\"97804862731\", \"97804862732\")",
"[/^97804862731.*/, /^97804862731.*/]"
]
}
}
}
]
},
"serverInfo" : {
"host" : "Ubuntu-1604-xenial-64-minimal",
"port" : 27017,
"version" : "3.2.11",
"gitVersion" : "009580ad490190ba33d1c6253ebd8d91808923e4"
},
"ok" : 1.0
}