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Type:
Bug
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Resolution: Duplicate
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Priority:
Major - P3
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None
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Affects Version/s: 3.4.6
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Component/s: Aggregation Framework, Performance
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ALL
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3
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We have the following collection, with 1773732 documents:
COMPANIES:
{
"_id" : "",
"companyId" : "aCompanyId",
"name": "aCompany"
"status" : "ACTIVE",
"description" : "a description",
"departments" : [
{
"departmentId" : "dep1"
}
],
"createdOn" : NumberLong(1475667096236),
"modifiedOn" : NumberLong(1490715174421),
"version" : NumberLong(2)
}
Now we have a query that takes 20 random companies, filters out inactive ones, performs basic projection and then picks random 10 elements once again (let's assume we have more than 50% of active companies)
db.companies.aggregate([
{"$sample": {"size": 20}},
{"$match": {"$or": [{"status": "ACTIVE"}, {"status": "$exists"}]}},
{"$project": {"postcodeId": 1, "postTown": 1, "description": 1}},
{"$sample": {"size": 10}}
])
The following query works fine (don't have detailed data, but I'd say p95 <200ms) on mongodb 3.2
However, we've noticed serious performance problems after upgrade to 3.4.6. Execution times are an order of magnitude higher than on 3.2 (it takes ~1.5-2s to complete).
This is what I saw in mongodb logs on 3.4:
2017-07-26T14:36:36.256+0000 I COMMAND [conn542] command Whatever.companies command: aggregate { aggregate: "companies", pipeline: [ { $sample: { size: 20.0 } }, { $match: { $or: [ { status: "ACTIVE" }, { status: "$exists" } ] } }, { $project: { companyId: 1.0, name: 1.0 } }, { $sample: { size: 10.0 } } ], explain: false, cursor: {} } planSummary: MULTI_ITERATOR keysExamined:0 docsExamined:0 cursorExhausted:1 numYields:104 nreturned:10 reslen:1181 locks:{ Global: { acquireCount: { r: 218 } }, Database: { acquireCount: { r: 109 } }, Collection: { acquireCount: { r: 108 } } } protocol:op_command 1190ms
As you can see, there is a lot of locking going on. On 3.2, same query produces about ~15 global read locks. What is also strange, if I get rid of $project and fetch all the data, latencies are fine.
However, when I reverse the logic of the projection, so it becomes:
db.companies.aggregate([
{"$sample": {"size": 20}},
{"$match": {"$or": [{"status": "ACTIVE"}, {"status": "$exists"}]}},
{"$project": {"departments": 0, "createdOn": 0 ... (exclude every single field)}},
{"$sample": {"size": 10}}]
)
it works as fast as on 3.2 and there number of global locks also decreases.
Additional information:
- cluster configuration: 3-node replica set
- indexes: companyId, departments.departmentId
Should I consider it a bug? Or maybe I'm missing something?
- duplicates
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- Closed
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- is related to
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SERVER-22402 Add dependency tracking to the $match stage
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- Closed
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