$skip and $limit in aggregation framework
Solution 1:
Since this is a text search query we are talking about then the most optimal form is this:
db.collection.aggregate([
{
"$match": {
"$text": { "$search": "cake tea" }
}
},
{ "$sort": { "score": { "$meta": "textScore" } } },
{ "$limit": skip + limit },
{ "$skip": skip }
])
The rationale on the memory reserve from the top "sort" results will only work within it's own "limits" as it were and this will not be optimal for anything beyond a few reasonable "pages" of data.
Beyond what is reasonable for memory consumption, the additional stage will likely have a negative effect rather than positive.
These really are the practical limitations of the text search capabilities available to MongoDB in the current form. But for anything more detailed and requiring more performance, then just as is the case with many SQL "full text" solutions, you are better off using an external "purpose built" text search solution.
Solution 2:
I found that it seems the sequence of limit
and skip
is immaterial. If I specify skip
before limit
, the mongoDB will make limit
before skip
under the hood.
> db.system.profile.find().limit(1).sort( { ts : -1 } ).pretty()
{
"op" : "command",
"ns" : "archiprod.userinfos",
"command" : {
"aggregate" : "userinfos",
"pipeline" : [
{
"$sort" : {
"updatedAt" : -1
}
},
{
"$limit" : 625
},
{
"$skip" : 600
}
],
},
"keysExamined" : 625,
"docsExamined" : 625,
"cursorExhausted" : true,
"numYield" : 4,
"nreturned" : 25,
"millis" : 25,
"planSummary" : "IXSCAN { updatedAt: -1 }",
/* Some fields are omitted */
}
What happens if I swtich $skip
and $limit
? I got the same result in terms of keysExamined
and docsExamined
.
> db.system.profile.find().limit(1).sort( { ts : -1 } ).pretty()
{
"op" : "command",
"ns" : "archiprod.userinfos",
"command" : {
"aggregate" : "userinfos",
"pipeline" : [
{
"$sort" : {
"updatedAt" : -1
}
},
{
"$skip" : 600
},
{
"$limit" : 25
}
],
},
"keysExamined" : 625,
"docsExamined" : 625,
"cursorExhausted" : true,
"numYield" : 5,
"nreturned" : 25,
"millis" : 71,
"planSummary" : "IXSCAN { updatedAt: -1 }",
}
I then checked the explain result of the query. I found that totalDocsExamined
is already 625
in the limit
stage.
> db.userinfos.explain('executionStats').aggregate([ { "$sort" : { "updatedAt" : -1 } }, { "$limit" : 625 }, { "$skip" : 600 } ])
{
"stages" : [
{
"$cursor" : {
"sort" : {
"updatedAt" : -1
},
"limit" : NumberLong(625),
"queryPlanner" : {
"winningPlan" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"updatedAt" : -1
},
"indexName" : "updatedAt_-1",
}
},
},
"executionStats" : {
"executionSuccess" : true,
"nReturned" : 625,
"executionTimeMillis" : 22,
"totalKeysExamined" : 625,
"totalDocsExamined" : 625,
"executionStages" : {
"stage" : "FETCH",
"nReturned" : 625,
"executionTimeMillisEstimate" : 0,
"works" : 625,
"advanced" : 625,
"docsExamined" : 625,
"inputStage" : {
"stage" : "IXSCAN",
"nReturned" : 625,
"works" : 625,
"advanced" : 625,
"keyPattern" : {
"updatedAt" : -1
},
"indexName" : "updatedAt_-1",
"keysExamined" : 625,
}
}
}
}
},
{
"$skip" : NumberLong(600)
}
]
}
And surprisingly, I found switching the $skip
and $limit
results in the same explain
result.
> db.userinfos.explain('executionStats').aggregate([ { "$sort" : { "updatedAt" : -1 } }, { "$skip" : 600 }, { "$limit" : 25 } ])
{
"stages" : [
{
"$cursor" : {
"sort" : {
"updatedAt" : -1
},
"limit" : NumberLong(625),
"queryPlanner" : {
/* Omitted */
},
"executionStats" : {
"executionSuccess" : true,
"nReturned" : 625,
"executionTimeMillis" : 31,
"totalKeysExamined" : 625,
"totalDocsExamined" : 625,
/* Omitted */
}
}
},
{
"$skip" : NumberLong(600)
}
]
}
As you can see, even though I specified $skip
before $limit
, in the explain
result, it's still $limit
before $skip
.