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How to query slow logs and create indexes by mongo

2025-01-16 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Database >

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This article is about how mongo queries slow logs and creates indexes. The editor thinks it is very practical, so share it with you as a reference and follow the editor to have a look.

1. Check whether the mongodb slow log is on.

Use LogDB

Db.getProfilingStatus ()

two。 Open the slow log and set the operation for more than 100 milliseconds as a slow operation

Db.setProfilingLevel (1100)

3. View slow log content

Db.system.profile.find () .sort ({$natural:-1})

Journal,

Shard3:PRIMARY > db.system.profile.find () .sort ({$natural:-1})

{"op": "query", "ns": "LogDB.Flashxxx", "command": {"find": "Flashxxx", "filter": {"UserId": {"$in": ["1111111"]}}, "shardVersion": [Timestamp (0,0), ObjectId ("0000000000000000000000000"), "lsid": {"id": UUID ("d08179ba-ecbd-4f9d-92e7-cd491e5a1d8a") "uid": BinData (0, "iwsImy7Wfk2mAp4o/uuD+I9mpETQTxb5PXo26pIQkS4=")}, "$clusterTime": {"clusterTime": Timestamp (1558696199, 3), "signature": {"hash": BinData (0, "Ht7EWhYpVLiy+DbH8Cu1Ijs6PNk="), "keyId": NumberLong ("6647500774429425691")}}, "$client": {"driver": {"name": "mongo-csharp-driver", "version": "2.7.0.0"} "os": {"type": "Windows", "name": "Microsoft Windows 6.3.9600", "architecture": "x8600064", "version": "6.3.9600"}, "platform": ".NET Framework 4.0.0.0", "mongos": {"host": "new-mongo01:20000", "client": "10.205.33.32 name 59518" "version": "3.6.9"}, "$configServerState": {"opTime": {"ts": Timestamp (1558696196, 12), "t": NumberLong (3)}}, "$db": "LogDB"}, "keysExamined": 0, "docsExamined": 37428, "cursorExhausted": true, "numYield": 37428 "locks": {"Global": {"acquireCount": {"r": NumberLong}}, "Database": {"acquireCount": {"r": NumberLong (293)}}, "Collection": {"acquireCount": {"r": NumberLong (293)}, "nreturned": 1, "responseLength": 673, "protocol": "op_msg" "millis": 104, "planSummary": "COLLSCAN", "execStats": {"stage": "COLLSCAN", "filter": {"UserId": {"$eq": "11111111115"}}, "nReturned": 1, "executionTimeMillisEstimate": 100, "works": 37430, "advanced": 1, "needTime": 37428, "needYield": 0, "saveState": 37428 "restoreState": 292, "isEOF": 1, "invalidates": 0, "direction": "forward", "docsExamined": 37428}, "ts": ISODate ("2019-05-24T11:09:59.346Z"), "client": "10.205.34.91", "allUsers": [{"user": "_ system", "db": "local"}] "user": "_ _ system@local"}

Note that COLLSCAN is a full table scan.

View the execution plan:

Db.FlashClientData.find ({UserId: 1000493111}) .explain ()

Shard3:PRIMARY > db.FlashClientData.find ({UserId: 100049111}). Explain ()

{

"queryPlanner": {

"plannerVersion": 1

"namespace": "LogDB.Flashxxx"

"indexFilterSet": false

"parsedQuery": {

"UserId": {

"$eq": 10x0493111

}

}

"winningPlan": {

"stage": "COLLSCAN"

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