我已经使用MongoDB 3.2多年了，我发现currentOp()和Cursor.explain()对于同一查询显示不同的结果。
我发现几个查询正在执行很长时间（20秒以上），我认为这是不可能的，因为我进行了很多测试并为其建立了索引。据我所知，查询通常是相同的。我认为它们正在导致数据库失锁，因为当某些查询变慢时，几乎有40-50个查询卡在currentOp()中。
但是当我在shell中执行相同的读取操作时，它按照我的预期运行得非常快。我从currentOp进行了相同的查询并执行。
[当数据库锁定（我认为它已锁定）时，CPU利用率持续数小时达到100％，而我的应用程序将非常缓慢。我每1分钟监视一次currentOp，当它几秒钟没有结束时，我不得不重新启动应用程序，然后它才能正常运行。
这里是需要很长时间的查询之一。一旦发生，40-50其他但类似的查询也会卡在currentOp中。
{
"desc" : "conn32882",
"threadId" : "140677207643904",
"connectionId" : 32882,
"client" : "client",
"active" : true,
"opid" : 1374027609,
"secs_running" : 20,
"microsecs_running" : NumberLong(20560351),
"op" : "query",
"ns" : "db.collection",
"query" : {
"find" : "collection",
"filter" : {
"p" : {
"$gt" : 0
},
"type" : "canvas",
"id" : {
"$in" : [
576391,
570391,
767422
]
}
},
"sort" : {
"_id" : -1
},
"projection" : {
},
"limit" : 5000,
"returnKey" : false,
"showRecordId" : false
},
"numYields" : 2761,
"locks" : {
"Global" : "r",
"Database" : "r",
"Collection" : "r"
},
"waitingForLock" : false,
"lockStats" : {
"Global" : {
"acquireCount" : {
"r" : NumberLong(5524)
},
"acquireWaitCount" : {
"r" : NumberLong(349)
},
"timeAcquiringMicros" : {
"r" : NumberLong(6613952)
}
},
"Database" : {
"acquireCount" : {
"r" : NumberLong(2762)
}
},
"Collection" : {
"acquireCount" : {
"r" : NumberLong(2762)
}
}
}
}
这是带有executionStats选项的Shell中相同查询的输出。
命令：
db.canvasdatas.find({
"p" : {
"$gt": 0
},
"type": "canvas",
"id" : {
"$in": [
576391,
570391,
767422
]
}
}, {}).sort({ _id: -1 }).limit(5000).explain('executionStats');
输出：
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "db.collection",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"type" : {
"$eq" : "canvas"
}
},
{
"p" : {
"$gt" : 0
}
},
{
"id" : {
"$in" : [
570391,
576391,
767422
]
}
}
]
},
"winningPlan" : {
"stage" : "SORT",
"sortPattern" : {
"_id" : -1
},
"limitAmount" : 5000,
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"type" : {
"$eq" : "canvas"
}
},
{
"p" : {
"$gt" : 0
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"id" : 1
},
"indexName" : "id_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"id" : [
"[570391.0, 570391.0]",
"[576391.0, 576391.0]",
"[767422.0, 767422.0]"
]
}
}
}
}
},
"rejectedPlans" : [
{
"stage" : "SORT",
"sortPattern" : {
"_id" : -1
},
"limitAmount" : 5000,
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"id" : {
"$in" : [
570391,
576391,
767422
]
}
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"p" : 1,
"type" : 1
},
"indexName" : "p_1_type_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"p" : [
"(0.0, inf.0]"
],
"type" : [
"[\"canvas\", \"canvas\"]"
]
}
}
}
}
},
{
"stage" : "SORT",
"sortPattern" : {
"_id" : -1
},
"limitAmount" : 5000,
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"type" : {
"$eq" : "canvas"
}
},
{
"id" : {
"$in" : [
570391,
576391,
767422
]
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"p" : 1
},
"indexName" : "p_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"p" : [
"(0.0, inf.0]"
]
}
}
}
}
},
{
"stage" : "SORT",
"sortPattern" : {
"_id" : -1
},
"limitAmount" : 5000,
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"p" : {
"$gt" : 0
}
},
{
"id" : {
"$in" : [
570391,
576391,
767422
]
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"type" : 1
},
"indexName" : "type_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"type" : [
"[\"canvas\", \"canvas\"]"
]
}
}
}
}
},
{
"stage" : "LIMIT",
"limitAmount" : 5000,
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"type" : {
"$eq" : "canvas"
}
},
{
"p" : {
"$gt" : 0
}
},
{
"id" : {
"$in" : [
570391,
576391,
767422
]
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"_id" : 1
},
"indexName" : "_id_",
"isMultiKey" : false,
"isUnique" : true,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "backward",
"indexBounds" : {
"_id" : [
"[MaxKey, MinKey]"
]
}
}
}
}
]
},
"executionStats" : {
"executionSuccess" : true,
"nReturned" : 2,
"executionTimeMillis" : 0,
"totalKeysExamined" : 5,
"totalDocsExamined" : 2,
"executionStages" : {
"stage" : "SORT",
"nReturned" : 2,
"executionTimeMillisEstimate" : 0,
"works" : 10,
"advanced" : 2,
"needTime" : 6,
"needYield" : 0,
"saveState" : 0,
"restoreState" : 0,
"isEOF" : 1,
"invalidates" : 0,
"sortPattern" : {
"_id" : -1
},
"memUsage" : 906,
"memLimit" : 33554432,
"limitAmount" : 5000,
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"nReturned" : 0,
"executionTimeMillisEstimate" : 0,
"works" : 6,
"advanced" : 0,
"needTime" : 3,
"needYield" : 0,
"saveState" : 0,
"restoreState" : 0,
"isEOF" : 1,
"invalidates" : 0,
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"type" : {
"$eq" : "canvas"
}
},
{
"p" : {
"$gt" : 0
}
}
]
},
"nReturned" : 2,
"executionTimeMillisEstimate" : 0,
"works" : 5,
"advanced" : 2,
"needTime" : 2,
"needYield" : 0,
"saveState" : 0,
"restoreState" : 0,
"isEOF" : 1,
"invalidates" : 0,
"docsExamined" : 2,
"alreadyHasObj" : 0,
"inputStage" : {
"stage" : "IXSCAN",
"nReturned" : 2,
"executionTimeMillisEstimate" : 0,
"works" : 5,
"advanced" : 2,
"needTime" : 2,
"needYield" : 0,
"saveState" : 0,
"restoreState" : 0,
"isEOF" : 1,
"invalidates" : 0,
"keyPattern" : {
"id" : 1
},
"indexName" : "id_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 1,
"direction" : "forward",
"indexBounds" : {
"id" : [
"[570391.0, 570391.0]",
"[576391.0, 576391.0]",
"[767422.0, 767422.0]"
]
},
"keysExamined" : 5,
"dupsTested" : 0,
"dupsDropped" : 0,
"seenInvalidated" : 0
}
}
}
}
},
"serverInfo" : {
"host" : "host",
"port" : 27017,
"version" : "3.2.21",
"gitVersion" : ""
},
"ok" : 1
}
我用这种意外行为在Google上搜索，但没有找到任何解决方案。因此，当服务器挂起时，我不得不重新启动它。
为了帮助理解，这是我的情况：
secondaryPreferred。因此，所有读取操作都将转到辅助节点。 slaveOk）中都执行了相同的查询并非每次都发生相同的查询。我认为还有其他一些因素会影响性能（例如复制？）
但是我不知道如何调试这种情况。对于此问题或调试方法是否有更好的主意？
谢谢，
Edit
：我仍然不知道是什么原因，但是试图通过进行任何更改来解决它。我删除了$gt，它似乎起作用了。但是$gt在我之前的执行中没有问题，我认为这是因为目前用户很少。Edit
：我有MongoDB云管理器，所以我可以做一些指标更改，我认为查询目标增加了，但我仍然不知道。通常，每1个文档大约100个文档，但是今天它的数量超过了2K。可能相关吗？
我已经使用MongoDB 3.2多年了，我发现currentOp（）和Cursor.explain（）对于同一查询显示不同的结果。我发现很长一段时间都在执行几个查询（20+ ...
我认为这可以解释您看到的内容：