我试图了解我的用例有什么问题。我试图用这样的mgo排序查询来查询MongoDB：
conn := _Mongo.Connect() // custom mongo connection
defer conn.Close()
c := conn.DB(dbname).C(collname)
index := mgo.Index{
Key: skeys,
Unique: false,
Background: true,
}
e := c.EnsureIndex(index)
if e != nil {
panic(e)
}
err := c.Find(spec).Sort(skeys...).All(&out)
正如你所看到的，我确实在我传递的选择键（skeys）上调用了ensure index。但在大型查询的运行时，我收到以下错误：
Executor error: OperationFailed: Sort operation used more than the maximum 33554432 bytes of RAM. Add an index, or specify a smaller limit.
我检查过我的收藏确实有一个索引，但在我看来mgo不使用它。
谢谢， 瓦伦丁。
P.S。这里是mongo解释输出的问题：
Explain: bson.M{"queryPlanner":bson.M{"parsedQuery":bson.M{"$and":[]interface {}{bson.M{"das.record":bson.M{"$eq":1}}, bson.M{"qhash":bson.M{"$eq":"7b32b92becab9b5de06fa8ac85011133"}}}}, "winningPlan":bson.M{"stage":"SORT", "sortPattern":bson.M{"dataset.name":1}, "inputStage":bson.M{"stage":"SORT_KEY_GENERATOR", "inputStage":bson.M{"stage":"FETCH", "filter":bson.M{"qhash":bson.M{"$eq":"7b32b92becab9b5de06fa8ac85011133"}}, "inputStage":bson.M{"isSparse":false, "isPartial":false, "indexVersion":2, "direction":"forward", "stage":"IXSCAN", "keyPattern":bson.M{"das.record":1}, "indexName":"das.record_1", "isMultiKey":false, "isUnique":false, "indexBounds":bson.M{"das.record":[]interface {}{"[1, 1]"}}}}}}, "rejectedPlans":[]interface {}{bson.M{"stage":"SORT", "sortPattern":bson.M{"dataset.name":1}, "inputStage":bson.M{"stage":"SORT_KEY_GENERATOR", "inputStage":bson.M{"stage":"FETCH", "filter":bson.M{"das.record":bson.M{"$eq":1}}, "inputStage":bson.M{"keyPattern":bson.M{"qhash":1}, "indexName":"qhash_1", "isMultiKey":false, "isSparse":false, "stage":"IXSCAN", "isUnique":false, "isPartial":false, "indexVersion":2, "direction":"forward", "indexBounds":bson.M{"qhash":[]interface {}{"[\"7b32b92becab9b5de06fa8ac85011133\", \"7b32b92becab9b5de06fa8ac85011133\"]"}}}}}}, bson.M{"stage":"SORT", "sortPattern":bson.M{"dataset.name":1}, "inputStage":bson.M{"stage":"KEEP_MUTATIONS", "inputStage":bson.M{"stage":"SORT_KEY_GENERATOR", "inputStage":bson.M{"stage":"FETCH", "inputStage":bson.M{"stage":"AND_SORTED", "inputStages":[]interface {}{bson.M{"keyPattern":bson.M{"qhash":1}, "isPartial":false, "indexVersion":2, "indexBounds":bson.M{"qhash":[]interface {}{"[\"7b32b92becab9b5de06fa8ac85011133\", \"7b32b92becab9b5de06fa8ac85011133\"]"}}, "direction":"forward", "stage":"IXSCAN", "indexName":"qhash_1", "isMultiKey":false, "isUnique":false, "isSparse":false}, bson.M{"stage":"IXSCAN", "isMultiKey":false, "isUnique":false, "isSparse":false, "isPartial":false, "direction":"forward", "indexBounds":bson.M{"das.record":[]interface {}{"[1, 1]"}}, "keyPattern":bson.M{"das.record":1}, "indexName":"das.record_1", "indexVersion":2}}}}}}}, bson.M{"sortPattern":bson.M{"dataset.name":1}, "inputStage":bson.M{"stage":"SORT_KEY_GENERATOR", "inputStage":bson.M{"stage":"FETCH", "filter":bson.M{"$and":[]interface {}{bson.M{"das.record":bson.M{"$eq":1}}, bson.M{"qhash":bson.M{"$eq":"7b32b92becab9b5de06fa8ac85011133"}}}}, "inputStage":bson.M{"direction":"forward", "keyPattern":bson.M{"dataset.name":1}, "indexName":"dataset.name_1", "isMultiKey":true, "isSparse":false, "indexBounds":bson.M{"dataset.name":[]interface {}{"[MinKey, MaxKey]"}}, "stage":"IXSCAN", "isUnique":false, "isPartial":false, "indexVersion":2}}}, "stage":"SORT"}}, "plannerVersion":1, "namespace":"das.cache", "indexFilterSet":false}, "executionStats":bson.M{"executionTimeMillis":317, "totalDocsExamined":30972, "executionSuccess":false, "errorMessage":"Exec error resulting in state FAILURE :: caused by :: errmsg: \"Sort operation used more than the maximum 33554432 bytes of RAM. Add an index, or specify a smaller limit.\"", "totalKeysExamined":30972, "executionStages":bson.M{"isEOF":0, "sortPattern":bson.M{"dataset.name":1}, "needTime":30973, "saveState":497, "nReturned":0, "restoreState":497, "executionTimeMillisEstimate":150, "memLimit":33554432, "advanced":0, "needYield":0, "invalidates":0, "memUsage":33554660, "inputStage":bson.M{"advanced":30972, "needTime":1, "saveState":497, "restoreState":497, "isEOF":0, "invalidates":0, "inputStage":bson.M{"stage":"FETCH", "works":30972, "restoreState":497, "invalidates":0, "alreadyHasObj":0, "inputStage":bson.M{"dupsDropped":0, "seenInvalidated":0, "stage":"IXSCAN", "needTime":0, "isMultiKey":false, "indexBounds":bson.M{"das.record":[]interface {}{"[1, 1]"}}, "keysExamined":30972, "direction":"forward", "restoreState":497, "isEOF":0, "indexName":"das.record_1", "isSparse":false, "indexVersion":2, "seeks":1, "dupsTested":0, "executionTimeMillisEstimate":35, "advanced":30972, "needYield":0, "saveState":497, "keyPattern":bson.M{"das.record":1}, "nReturned":30972, "works":30972, "invalidates":0, "isUnique":false, "isPartial":false}, "saveState":497, "filter":bson.M{"qhash":bson.M{"$eq":"7b32b92becab9b5de06fa8ac85011133"}}, "advanced":30972, "isEOF":0, "docsExamined":30972, "nReturned":30972, "executionTimeMillisEstimate":68, "needTime":0, "needYield":0}, "stage":"SORT_KEY_GENERATOR", "nReturned":30972, "executionTimeMillisEstimate":138, "works":30973, "needYield":0}, "stage":"SORT", "works":30974}, "allPlansExecution":[]interface {}{bson.M{"nReturned":0, "executionTimeMillisEstimate":69, "totalKeysExamined":10491, "totalDocsExamined":10491, "executionStages":bson.M{"stage":"SORT", "executionTimeMillisEstimate":69, "works":10492, "restoreState":335, "isEOF":0, "memUsage":11812527, "inputStage":bson.M{"advanced":10491, "needTime":1, "saveState":335, "restoreState":335, "isEOF":0, "stage":"SORT_KEY_GENERATOR", "executionTimeMillisEstimate":69, "works":10492, "invalidates":0, "inputStage":bson.M{"needTime":0, "invalidates":0, "isEOF":0, "docsExamined":10491, "alreadyHasObj":0, "stage":"FETCH", "filter":bson.M{"das.record":bson.M{"$eq":1}}, "advanced":10491, "needYield":0, "saveState":335, "inputStage":bson.M{"invalidates":0, "isMultiKey":false, "seeks":1, "dupsTested":0, "needTime":0, "isEOF":0, "works":10491, "needYield":0, "restoreState":335, "keyPattern":bson.M{"qhash":1}, "indexName":"qhash_1", "isSparse":false, "stage":"IXSCAN", "nReturned":10491, "seenInvalidated":0, "indexVersion":2, "indexBounds":bson.M{"qhash":[]interface {}{"[\"7b32b92becab9b5de06fa8ac85011133\", \"7b32b92becab9b5de06fa8ac85011133\"]"}}, "advanced":10491, "isPartial":false, "isUnique":false, "direction":"forward", "keysExamined":10491, "dupsDropped":0, "executionTimeMillisEstimate":10, "saveState":335}, "nReturned":10491, "executionTimeMillisEstimate":55, "works":10491, "restoreState":335}, "nReturned":10491, "needYield":0}, "needTime":10492, "memLimit":33554432, "nReturned":0, "advanced":0, "needYield":0, "saveState":335, "invalidates":0, "sortPattern":bson.M{"dataset.name":1}}}, bson.M{"nReturned":0, "executionTimeMillisEstimate":11, "totalKeysExamined":10491, "totalDocsExamined":5245, "executionStages":bson.M{"restoreState":335, "inputStage":bson.M{"saveState":335, "restoreState":335, "inputStage":bson.M{"nReturned":5245, "executionTimeMillisEstimate":11, "advanced":5245, "needYield":0, "restoreState":335, "invalidates":0, "inputStage":bson.M{"isEOF":0, "alreadyHasObj":0, "works":10491, "needTime":5246, "restoreState":335, "advanced":5245, "saveState":335, "nReturned":5245, "needYield":0, "invalidates":0, "inputStage":bson.M{"stage":"AND_SORTED", "executionTimeMillisEstimate":0, "works":10491, "saveState":335, "advanced":5245, "needTime":5246, "nReturned":5245, "needYield":0, "isEOF":0, "flagged":0, "restoreState":335, "invalidates":0, "failedAnd_0":0, "failedAnd_1":0, "inputStages":[]interface {}{bson.M{"stage":"IXSCAN", "nReturned":5246, "invalidates":0, "isUnique":false, "keysExamined":5246, "dupsDropped":0, "seeks":1, "dupsTested":0, "executionTimeMillisEstimate":0, "advanced":5246, "restoreState":335, "keyPattern":bson.M{"qhash":1}, "indexName":"qhash_1", "indexVersion":2, "indexBounds":bson.M{"qhash":[]interface {}{"[\"7b32b92becab9b5de06fa8ac85011133\", \"7b32b92becab9b5de06fa8ac85011133\"]"}}, "needTime":0, "needYield":0, "saveState":335, "isEOF":0, "isMultiKey":false, "direction":"forward", "works":5246, "isSparse":false, "isPartial":false, "seenInvalidated":0}, bson.M{"advanced":5245, "isEOF":0, "indexBounds":bson.M{"das.record":[]interface {}{"[1, 1]"}}, "seeks":1, "stage":"IXSCAN", "nReturned":5245, "needTime":0, "needYield":0, "isSparse":false, "indexVersion":2, "isPartial":false, "direction":"forward", "executionTimeMillisEstimate":0, "works":5245, "saveState":335, "invalidates":0, "keyPattern":bson.M{"das.record":1}, "isMultiKey":false, "keysExamined":5245, "restoreState":335, "indexName":"das.record_1", "isUnique":false, "dupsTested":0, "dupsDropped":0, "seenInvalidated":0}}}, "stage":"FETCH", "executionTimeMillisEstimate":11, "docsExamined":5245}, "stage":"SORT_KEY_GENERATOR", "works":10492, "needTime":5247, "saveState":335, "isEOF":0}, "stage":"KEEP_MUTATIONS", "nReturned":5245, "needYield":0, "needTime":5247, "isEOF":0, "invalidates":0, "executionTimeMillisEstimate":11, "works":10492, "advanced":5245}, "executionTimeMillisEstimate":11, "works":10492, "needYield":0, "invalidates":0, "memUsage":6102195, "stage":"SORT", "nReturned":0, "advanced":0, "needTime":10492, "saveState":335, "isEOF":0, "sortPattern":bson.M{"dataset.name":1}, "memLimit":33554432}}, bson.M{"nReturned":0, "executionTimeMillisEstimate":70, "totalKeysExamined":10491, "totalDocsExamined":10491, "executionStages":bson.M{"executionTimeMillisEstimate":70, "saveState":335, "sortPattern":bson.M{"dataset.name":1}, "works":10492, "inputStage":bson.M{"advanced":10485, "needYield":0, "executionTimeMillisEstimate":58, "works":10492, "needTime":7, "saveState":335, "restoreState":335, "isEOF":0, "invalidates":0, "inputStage":bson.M{"executionTimeMillisEstimate":36, "saveState":335, "docsExamined":10491, "nReturned":10485, "restoreState":335, "invalidates":0, "needYield":0, "filter":bson.M{"$and":[]interface {}{bson.M{"das.record":bson.M{"$eq":1}}, bson.M{"qhash":bson.M{"$eq":"7b32b92becab9b5de06fa8ac85011133"}}}}, "advanced":10485, "alreadyHasObj":0, "stage":"FETCH", "needTime":6, "isEOF":0, "inputStage":bson.M{"keyPattern":bson.M{"dataset.name":1}, "isPartial":false, "indexVersion":2, "nReturned":10491, "executionTimeMillisEstimate":24, "advanced":10491, "saveState":335, "invalidates":0, "indexBounds":bson.M{"dataset.name":[]interface {}{"[MinKey, MaxKey]"}}, "dupsDropped":0, "seenInvalidated":0, "dupsTested":10491, "works":10491, "needTime":0, "isMultiKey":true, "isUnique":false, "keysExamined":10491, "needYield":0, "isEOF":0, "direction":"forward", "seeks":1, "stage":"IXSCAN", "restoreState":335, "indexName":"dataset.name_1", "isSparse":false}, "works":10491}, "stage":"SORT_KEY_GENERATOR", "nReturned":10485}, "stage":"SORT", "nReturned":0, "advanced":0, "memUsage":11787104, "needTime":10492, "needYield":0, "restoreState":335, "isEOF":0, "invalidates":0, "memLimit":33554432}}, bson.M{"executionTimeMillisEstimate":59, "totalKeysExamined":10491, "totalDocsExamined":10491, "executionStages":bson.M{"works":10492, "advanced":0, "needTime":10492, "isEOF":0, "invalidates":0, "sortPattern":bson.M{"dataset.name":1}, "restoreState":335, "memUsage":11812527, "inputStage":bson.M{"stage":"SORT_KEY_GENERATOR", "works":10492, "advanced":10491, "inputStage":bson.M{"inputStage":bson.M{"isMultiKey":false, "isSparse":false, "indexBounds":bson.M{"das.record":[]interface {}{"[1, 1]"}}, "seeks":1, "advanced":10491, "needTime":0, "saveState":335, "indexName":"das.record_1", "dupsTested":0, "restoreState":335, "isPartial":false, "dupsDropped":0, "isUnique":false, "indexVersion":2, "direction":"forward", "keysExamined":10491, "stage":"IXSCAN", "nReturned":10491, "needYield":0, "isEOF":0, "seenInvalidated":0, "executionTimeMillisEstimate":11, "works":10491, "invalidates":0, "keyPattern":bson.M{"das.record":1}}, "stage":"FETCH", "works":10491, "advanced":10491, "isEOF":0, "invalidates":0, "alreadyHasObj":0, "filter":bson.M{"qhash":bson.M{"$eq":"7b32b92becab9b5de06fa8ac85011133"}}, "nReturned":10491, "executionTimeMillisEstimate":21, "needTime":0, "needYield":0, "saveState":335, "restoreState":335, "docsExamined":10491}, "saveState":335, "restoreState":335, "isEOF":0, "invalidates":0, "nReturned":10491, "executionTimeMillisEstimate":47, "needTime":1, "needYield":0}, "stage":"SORT", "executionTimeMillisEstimate":59, "needYield":0, "nReturned":0, "saveState":335, "memLimit":33554432}, "nReturned":0}}, "errorCode":96, "nReturned":0}, "serverInfo":bson.M{"version":"3.6.3", "gitVersion":"9586e557d54ef70f9ca4b43c26892cd55257e1a5", "host":"vkair", "port":8230}}
特别是，它说：
"inputStage":bson.M{"direction":"forward", "keyPattern":bson.M{"dataset.name":1},
"indexName":"dataset.name_1", "isMultiKey":true, "isSparse":false,
"indexBounds":bson.M{"dataset.name":[]interface {}{"[MinKey, MaxKey]"}},
"stage":"IXSCAN", "isUnique":false, "isPartial":false, "indexVersion":2}}},
"stage":"SORT"}},
"plannerVersion":1, "namespace":"das.cache", "indexFilterSet":false},
"executionStats":bson.M{"executionTimeMillis":317, "totalDocsExamined":30972,
"executionSuccess":false,
"errorMessage":"Exec error resulting in state FAILURE :: caused by :: errmsg: \"Sort operation used more than the maximum 33554432 bytes of RAM. Add an index, or specify a smaller limit.
P.S.S。获胜计划是（mgo的输出）：
"winningPlan":bson.M{"stage":"SORT",
"sortPattern":bson.M{"dataset.name":1},
"inputStage":bson.M{"stage":"SORT_KEY_GENERATOR",
"inputStage":bson.M{"stage":"FETCH",
"filter":bson.M{"qhash":bson.M{"$eq":"7b32b92becab9b5de06fa8ac85011133"}},
"inputStage":bson.M{"isSparse":false,
"isPartial":false, "indexVersion":2,
"direction":"forward", "stage":"IXSCAN",
"keyPattern":bson.M{"das.record":1},
"indexName":"das.record_1",
"isMultiKey":false, "isUnique":false,
"indexBounds":bson.M{"das.record":[]interface {}{"[1, 1]"}}}}}}
和，来自mongo shell的输出
"winningPlan" : {
"stage" : "SORT",
"sortPattern" : {
"dataset.name" : 1
},
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"qhash" : {
"$eq" : "7b32b92becab9b5de06fa8ac85011133"
}
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"das.record" : 1
},
"indexName" : "das.record_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"das.record" : [
"[1.0, 1.0]"
]
}
}
}
}
}
据我所知，mgo和mongo shell的获胜计划是一样的。如果我在mongo shell中执行相同的查询，我会得到以下结果：
> db.cache.find({"qhash":"7b32b92becab9b5de06fa8ac85011133", "das.record":1}).sort({"dataset.name":1})
Error: error: {
"ok" : 0,
"errmsg" : "Executor error during find command: OperationFailed: Sort operation used more than the maximum 33554432 bytes of RAM. Add an index, or specify a smaller limit.",
"code" : 96,
"codeName" : "OperationFailed"}
如果我计算聚合，它会快速返回结果：
db.cache.find({"qhash":"7b32b92becab9b5de06fa8ac85011133", "das.record":1}).sort({"dataset.name":1}).count()
69936
因此看起来mongo本身在获取结果时使用获胜计划（索引）存在问题。
UPDATE1 正如万建议我创建了新的复合指数
db.cache.createIndex({"qhash":1, "das.record":1, "dataset.name":1})
但它没有解决问题。如果我放置查询
db.cache.find({"qhash":"7b32b92becab9b5de06fa8ac85011133", "das.record":1}).sort({"dataset.name":1}).explain()
获胜计划仍然使用das.record索引，请参阅
{
"queryPlanner" : {
"plannerVersion" : 1,
"namespace" : "das.cache",
"indexFilterSet" : false,
"parsedQuery" : {
"$and" : [
{
"das.record" : {
"$eq" : 1
}
},
{
"qhash" : {
"$eq" : "7b32b92becab9b5de06fa8ac85011133"
}
}
]
},
"winningPlan" : {
"stage" : "SORT",
"sortPattern" : {
"dataset.name" : 1
},
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"qhash" : {
"$eq" : "7b32b92becab9b5de06fa8ac85011133"
}
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"das.record" : 1
},
"indexName" : "das.record_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"das.record" : [
"[1.0, 1.0]"
]
}
}
}
}
},
"rejectedPlans" : [
{
"stage" : "SORT",
"sortPattern" : {
"dataset.name" : 1
},
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"das.record" : {
"$eq" : 1
}
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"qhash" : 1
},
"indexName" : "qhash_1",
"isMultiKey" : false,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"qhash" : [
"[\"7b32b92becab9b5de06fa8ac85011133\", \"7b32b92becab9b5de06fa8ac85011133\"]"
]
}
}
}
}
},
{
"stage" : "SORT",
"sortPattern" : {
"dataset.name" : 1
},
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"qhash" : 1,
"das.record" : 1,
"dataset.name" : 1
},
"indexName" : "qhash_1_das.record_1_dataset.name_1",
"isMultiKey" : true,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"qhash" : [
"[\"7b32b92becab9b5de06fa8ac85011133\", \"7b32b92becab9b5de06fa8ac85011133\"]"
],
"das.record" : [
"[1.0, 1.0]"
],
"dataset.name" : [
"[MinKey, MaxKey]"
]
}
}
}
}
},
{
"stage" : "SORT",
"sortPattern" : {
"dataset.name" : 1
},
"inputStage" : {
"stage" : "SORT_KEY_GENERATOR",
"inputStage" : {
"stage" : "FETCH",
"filter" : {
"$and" : [
{
"das.record" : {
"$eq" : 1
}
},
{
"qhash" : {
"$eq" : "7b32b92becab9b5de06fa8ac85011133"
}
}
]
},
"inputStage" : {
"stage" : "IXSCAN",
"keyPattern" : {
"dataset.name" : 1
},
"indexName" : "dataset.name_1",
"isMultiKey" : true,
"isUnique" : false,
"isSparse" : false,
"isPartial" : false,
"indexVersion" : 2,
"direction" : "forward",
"indexBounds" : {
"dataset.name" : [
"[MinKey, MaxKey]"
]
}
}
}
}
}
]
},
"serverInfo" : {
"host" : "vkair",
"port" : 8230,
"version" : "3.6.3",
"gitVersion" : "9586e557d54ef70f9ca4b43c26892cd55257e1a5"
},
"ok" : 1
}
答案 0 :(得分：1)
执行程序错误：OperationFailed：排序操作使用的RAM超过最大33554432字节。添加索引，或指定较小的限制。
在MongoDB中，排序操作可以通过根据索引中的排序检索文档来获取排序顺序。如果查询计划程序无法从索引获取排序顺序，它将在内存中对结果进行排序。使用索引以排序顺序检索结果比检索结果和在内存中排序更有效。此外，不使用索引的排序操作将在使用32兆字节的内存时中止。
根据您发布的explain的输出，这是因为您有das.record的索引（获胜计划，用于查询），但您需要根据{{进行排序1}}其中a）失去计划或b）没有这样的索引。
An index可以支持对索引键模式的非前缀子集进行排序操作。为此，查询必须在排序键之前的所有前缀键上包含相等条件。例如，如果您的查询是：
dataset.name然后要使用索引进行过滤和排序，您应该有一个compound index：
db.cache.find({"qhash":"7b32b92becab9b5de06fa8ac85011133", "das.record":1}).sort({"dataset.name":1})
查看有关手册Tutorial: sort and non-prefix subset of an index
的更多信息您还可以从阅读中受益：MongoDB Indexing Strategies和Blog: Optimizing MongoDB Compound Indexes
据我所知，mgo和mongo shell的获胜计划是相同的
给定相同的查询，输出应该相同。我要求{"qhash":1, "das.record":1, "dataset.name":1 }
shell输出的原因是删除mongo方面，即调试层中的代码。
更新：
我创建了额外的索引{＆＃34; v＆＃34; ：2，＆＃34; key＆＃34; ：{＆＃34; qhash＆＃34; ：1，＆＃34; das.record＆＃34; ：1，＆＃34; dataset.name＆＃34; ：1}，＆＃34;名称＆＃34; ：＆＃34; qhash_1_das.record_1_dataset.name_1＆＃34;，＆＃34; ns＆＃34; ：＆＃34; das.cache＆＃34;但是MongoDB不使用它
根据您的解释输出，您可以发现Go部分下列出了新索引qhash_1_das.record_1_dataset.name_1。这种情况的可能原因很少，但在这种情况下可能的原因是rejectedPlan是一个数组或具有一些数组值。由dataset.name表示，isMultiKey:true的索引范围。
min, max上的multikey index可能导致意外的缓慢，因此被拒绝作为最快的查询计划。
如果您不打算在dataset.name中拥有数组值，请找到有问题的文档并更改/删除数组值。此外，您还需要重新创建索引dataset.name。
如果qhash_1_das.record_1_dataset.name_1实际上包含数组，则基于多键的排序性能会降低。您可能必须删除其他索引，选择具有单个值的其他字段进行排序，操作拆分dataset.name的值，或重新设计dataset.name文档结构。