我对Mongoid和Rails的经验很少。我正在尝试使自己在Rails应用程序中编写的查询表现得尽可能出色。
该应用程序具有User
模型和WithdrawalHold
模型。一个用户可以有许多提款保留。
WithdrawalHold具有user_id
和hold_until
字段。 WithdrawalHold具有以下索引:index({ user_id: 1, hold_until: 1, _id: -1 }, background: true)
index({ hold_until: 1 }, background: true)
[当我在Rails控制台中运行以下命令时:WithdrawalHold.where(:user_id => 1, :hold_until.gte => Time.now).order_by(:hold_until => 'asc').explain
{"queryPlanner"=>
{"plannerVersion"=>1,
"namespace"=>"test.limits_withdrawal_holds",
"indexFilterSet"=>false,
"parsedQuery"=>{"$and"=>[{"user_id"=>{"$eq"=>1}}, {"hold_until"=>{"$gte"=>2018-02-25 21:53:24 UTC}}]},
"winningPlan"=>
{"stage"=>"FETCH",
"inputStage"=>
{"stage"=>"IXSCAN",
"keyPattern"=>{"user_id"=>1, "hold_until"=>1, "_id"=>-1},
"indexName"=>"user_id_1_hold_until_1__id_-1",
"isMultiKey"=>false,
"multiKeyPaths"=>{"user_id"=>[], "hold_until"=>[], "_id"=>[]},
"isUnique"=>false,
"isSparse"=>false,
"isPartial"=>false,
"indexVersion"=>2,
"direction"=>"forward",
"indexBounds"=>{"user_id"=>["[1, 1]"], "hold_until"=>["[new Date(1519595604368), new Date(9223372036854775807)]"], "_id"=>["[MaxKey, MinKey]"]}}},
"rejectedPlans"=>
[{"stage"=>"FETCH",
"filter"=>{"user_id"=>{"$eq"=>1}},
"inputStage"=>
{"stage"=>"IXSCAN",
"keyPattern"=>{"hold_until"=>1},
"indexName"=>"hold_until_1",
"isMultiKey"=>false,
"multiKeyPaths"=>{"hold_until"=>[]},
"isUnique"=>false,
"isSparse"=>false,
"isPartial"=>false,
"indexVersion"=>2,
"direction"=>"forward",
"indexBounds"=>{"hold_until"=>["[new Date(1519595604368), new Date(9223372036854775807)]"]}}}]},
"executionStats"=>
{"executionSuccess"=>true,
"nReturned"=>0,
"executionTimeMillis"=>0,
"totalKeysExamined"=>0,
"totalDocsExamined"=>0,
"executionStages"=>
{"stage"=>"FETCH",
"nReturned"=>0,
"executionTimeMillisEstimate"=>0,
"works"=>2,
"advanced"=>0,
"needTime"=>0,
"needYield"=>0,
"saveState"=>0,
"restoreState"=>0,
"isEOF"=>1,
"invalidates"=>0,
"docsExamined"=>0,
"alreadyHasObj"=>0,
"inputStage"=>
{"stage"=>"IXSCAN",
"nReturned"=>0,
"executionTimeMillisEstimate"=>0,
"works"=>1,
"advanced"=>0,
"needTime"=>0,
"needYield"=>0,
"saveState"=>0,
"restoreState"=>0,
"isEOF"=>1,
"invalidates"=>0,
"keyPattern"=>{"user_id"=>1, "hold_until"=>1, "_id"=>-1},
"indexName"=>"user_id_1_hold_until_1__id_-1",
"isMultiKey"=>false,
"multiKeyPaths"=>{"user_id"=>[], "hold_until"=>[], "_id"=>[]},
"isUnique"=>false,
"isSparse"=>false,
"isPartial"=>false,
"indexVersion"=>2,
"direction"=>"forward",
"indexBounds"=>{"user_id"=>["[1, 1]"], "hold_until"=>["[new Date(1519595604368), new Date(9223372036854775807)]"], "_id"=>["[MaxKey, MinKey]"]},
"keysExamined"=>0,
"seeks"=>1,
"dupsTested"=>0,
"dupsDropped"=>0,
"seenInvalidated"=>0}},
"allPlansExecution"=>
[{"nReturned"=>0,
"executionTimeMillisEstimate"=>0,
"totalKeysExamined"=>1,
"totalDocsExamined"=>1,
"executionStages"=>
{"stage"=>"FETCH",
"filter"=>{"user_id"=>{"$eq"=>1}},
"nReturned"=>0,
"executionTimeMillisEstimate"=>0,
"works"=>1,
"advanced"=>0,
"needTime"=>1,
"needYield"=>0,
"saveState"=>0,
"restoreState"=>0,
"isEOF"=>0,
"invalidates"=>0,
"docsExamined"=>1,
"alreadyHasObj"=>0,
"inputStage"=>
{"stage"=>"IXSCAN",
"nReturned"=>1,
"executionTimeMillisEstimate"=>0,
"works"=>1,
"advanced"=>1,
"needTime"=>0,
"needYield"=>0,
"saveState"=>0,
"restoreState"=>0,
"isEOF"=>0,
"invalidates"=>0,
"keyPattern"=>{"hold_until"=>1},
"indexName"=>"hold_until_1",
"isMultiKey"=>false,
"multiKeyPaths"=>{"hold_until"=>[]},
"isUnique"=>false,
"isSparse"=>false,
"isPartial"=>false,
"indexVersion"=>2,
"direction"=>"forward",
"indexBounds"=>{"hold_until"=>["[new Date(1519595604368), new Date(9223372036854775807)]"]},
"keysExamined"=>1,
"seeks"=>1,
"dupsTested"=>0,
"dupsDropped"=>0,
"seenInvalidated"=>0}}},
{"nReturned"=>0,
"executionTimeMillisEstimate"=>0,
"totalKeysExamined"=>0,
"totalDocsExamined"=>0,
"executionStages"=>
{"stage"=>"FETCH",
"nReturned"=>0,
"executionTimeMillisEstimate"=>0,
"works"=>1,
"advanced"=>0,
"needTime"=>0,
"needYield"=>0,
"saveState"=>0,
"restoreState"=>0,
"isEOF"=>1,
"invalidates"=>0,
"docsExamined"=>0,
"alreadyHasObj"=>0,
"inputStage"=>
{"stage"=>"IXSCAN",
"nReturned"=>0,
"executionTimeMillisEstimate"=>0,
"works"=>1,
"advanced"=>0,
"needTime"=>0,
"needYield"=>0,
"saveState"=>0,
"restoreState"=>0,
"isEOF"=>1,
"invalidates"=>0,
"keyPattern"=>{"user_id"=>1, "hold_until"=>1, "_id"=>-1},
"indexName"=>"user_id_1_hold_until_1__id_-1",
"isMultiKey"=>false,
"multiKeyPaths"=>{"user_id"=>[], "hold_until"=>[], "_id"=>[]},
"isUnique"=>false,
"isSparse"=>false,
"isPartial"=>false,
"indexVersion"=>2,
"direction"=>"forward",
"indexBounds"=>{"user_id"=>["[1, 1]"], "hold_until"=>["[new Date(1519595604368), new Date(9223372036854775807)]"], "_id"=>["[MaxKey, MinKey]"]},
"keysExamined"=>0,
"seeks"=>1,
"dupsTested"=>0,
"dupsDropped"=>0,
"seenInvalidated"=>0}}}]},
"serverInfo"=>{"host"=>"1cf25211760e", "port"=>27017, "version"=>"3.4.9", "gitVersion"=>"876ebee8c7dd0e2d992f36a848ff4dc50ee6603e"},
"ok"=>1.0}
结果表明使用了{ user_id: 1, hold_until: 1, _id: -1 }
索引。并且检查的文档数为0,我相信这表明该查询已包含在索引(https://docs.mongodb.com/manual/reference/explain-results/)中。
注意,在上面的查询中,user_id为1,并且没有该ID的用户。
现在,如果我使用真实的user_id(其类型为BSON :: ObjectId):
WithdrawalHold.where(:user_id => user.id, :hold_until.gte => Time.now).order_by(:hold_until => 'asc').explain
{"queryPlanner"=>
{"plannerVersion"=>1,
"namespace"=>"test.limits_withdrawal_holds",
"indexFilterSet"=>false,
"parsedQuery"=>{"$and"=>[{"user_id"=>{"$eq"=>BSON::ObjectId('5a932ba8476e0a3ee86a3b5e')}}, {"hold_until"=>{"$gte"=>2018-02-25 21:55:05 UTC}}]},
"winningPlan"=>
{"stage"=>"FETCH",
"filter"=>{"user_id"=>{"$eq"=>BSON::ObjectId('5a932ba8476e0a3ee86a3b5e')}},
"inputStage"=>
{"stage"=>"IXSCAN",
"keyPattern"=>{"hold_until"=>1},
"indexName"=>"hold_until_1",
"isMultiKey"=>false,
"multiKeyPaths"=>{"hold_until"=>[]},
"isUnique"=>false,
"isSparse"=>false,
"isPartial"=>false,
"indexVersion"=>2,
"direction"=>"forward",
"indexBounds"=>{"hold_until"=>["[new Date(1519595705482), new Date(9223372036854775807)]"]}}},
"rejectedPlans"=>
[{"stage"=>"FETCH",
"inputStage"=>
{"stage"=>"IXSCAN",
"keyPattern"=>{"user_id"=>1, "hold_until"=>1, "_id"=>-1},
"indexName"=>"user_id_1_hold_until_1__id_-1",
"isMultiKey"=>false,
"multiKeyPaths"=>{"user_id"=>[], "hold_until"=>[], "_id"=>[]},
"isUnique"=>false,
"isSparse"=>false,
"isPartial"=>false,
"indexVersion"=>2,
"direction"=>"forward",
"indexBounds"=>
{"user_id"=>["[ObjectId('5a932ba8476e0a3ee86a3b5e'), ObjectId('5a932ba8476e0a3ee86a3b5e')]"],
"hold_until"=>["[new Date(1519595705482), new Date(9223372036854775807)]"],
"_id"=>["[MaxKey, MinKey]"]}}}]},
"executionStats"=>
{"executionSuccess"=>true,
"nReturned"=>3,
"executionTimeMillis"=>0,
"totalKeysExamined"=>3,
"totalDocsExamined"=>3,
"executionStages"=>
{"stage"=>"FETCH",
"filter"=>{"user_id"=>{"$eq"=>BSON::ObjectId('5a932ba8476e0a3ee86a3b5e')}},
"nReturned"=>3,
"executionTimeMillisEstimate"=>0,
"works"=>5,
"advanced"=>3,
"needTime"=>0,
"needYield"=>0,
"saveState"=>0,
"restoreState"=>0,
"isEOF"=>1,
"invalidates"=>0,
"docsExamined"=>3,
"alreadyHasObj"=>0,
"inputStage"=>
{"stage"=>"IXSCAN",
"nReturned"=>3,
"executionTimeMillisEstimate"=>0,
"works"=>4,
"advanced"=>3,
"needTime"=>0,
"needYield"=>0,
"saveState"=>0,
"restoreState"=>0,
"isEOF"=>1,
"invalidates"=>0,
"keyPattern"=>{"hold_until"=>1},
"indexName"=>"hold_until_1",
"isMultiKey"=>false,
"multiKeyPaths"=>{"hold_until"=>[]},
"isUnique"=>false,
"isSparse"=>false,
"isPartial"=>false,
"indexVersion"=>2,
"direction"=>"forward",
"indexBounds"=>{"hold_until"=>["[new Date(1519595705482), new Date(9223372036854775807)]"]},
"keysExamined"=>3,
"seeks"=>1,
"dupsTested"=>0,
"dupsDropped"=>0,
"seenInvalidated"=>0}},
"allPlansExecution"=>
[{"nReturned"=>3,
"executionTimeMillisEstimate"=>0,
"totalKeysExamined"=>3,
"totalDocsExamined"=>3,
"executionStages"=>
{"stage"=>"FETCH",
"nReturned"=>3,
"executionTimeMillisEstimate"=>0,
"works"=>4,
"advanced"=>3,
"needTime"=>0,
"needYield"=>0,
"saveState"=>0,
"restoreState"=>0,
"isEOF"=>1,
"invalidates"=>0,
"docsExamined"=>3,
"alreadyHasObj"=>0,
"inputStage"=>
{"stage"=>"IXSCAN",
"nReturned"=>3,
"executionTimeMillisEstimate"=>0,
"works"=>4,
"advanced"=>3,
"needTime"=>0,
"needYield"=>0,
"saveState"=>0,
"restoreState"=>0,
"isEOF"=>1,
"invalidates"=>0,
"keyPattern"=>{"user_id"=>1, "hold_until"=>1, "_id"=>-1},
"indexName"=>"user_id_1_hold_until_1__id_-1",
"isMultiKey"=>false,
"multiKeyPaths"=>{"user_id"=>[], "hold_until"=>[], "_id"=>[]},
"isUnique"=>false,
"isSparse"=>false,
"isPartial"=>false,
"indexVersion"=>2,
"direction"=>"forward",
"indexBounds"=>
{"user_id"=>["[ObjectId('5a932ba8476e0a3ee86a3b5e'), ObjectId('5a932ba8476e0a3ee86a3b5e')]"],
"hold_until"=>["[new Date(1519595705482), new Date(9223372036854775807)]"],
"_id"=>["[MaxKey, MinKey]"]},
"keysExamined"=>3,
"seeks"=>1,
"dupsTested"=>0,
"dupsDropped"=>0,
"seenInvalidated"=>0}}},
{"nReturned"=>3,
"executionTimeMillisEstimate"=>0,
"totalKeysExamined"=>3,
"totalDocsExamined"=>3,
"executionStages"=>
{"stage"=>"FETCH",
"filter"=>{"user_id"=>{"$eq"=>BSON::ObjectId('5a932ba8476e0a3ee86a3b5e')}},
"nReturned"=>3,
"executionTimeMillisEstimate"=>0,
"works"=>4,
"advanced"=>3,
"needTime"=>0,
"needYield"=>0,
"saveState"=>0,
"restoreState"=>0,
"isEOF"=>1,
"invalidates"=>0,
"docsExamined"=>3,
"alreadyHasObj"=>0,
"inputStage"=>
{"stage"=>"IXSCAN",
"nReturned"=>3,
"executionTimeMillisEstimate"=>0,
"works"=>4,
"advanced"=>3,
"needTime"=>0,
"needYield"=>0,
"saveState"=>0,
"restoreState"=>0,
"isEOF"=>1,
"invalidates"=>0,
"keyPattern"=>{"hold_until"=>1},
"indexName"=>"hold_until_1",
"isMultiKey"=>false,
"multiKeyPaths"=>{"hold_until"=>[]},
"isUnique"=>false,
"isSparse"=>false,
"isPartial"=>false,
"indexVersion"=>2,
"direction"=>"forward",
"indexBounds"=>{"hold_until"=>["[new Date(1519595705482), new Date(9223372036854775807)]"]},
"keysExamined"=>3,
"seeks"=>1,
"dupsTested"=>0,
"dupsDropped"=>0,
"seenInvalidated"=>0}}}]},
"serverInfo"=>{"host"=>"1cf25211760e", "port"=>27017, "version"=>"3.4.9", "gitVersion"=>"876ebee8c7dd0e2d992f36a848ff4dc50ee6603e"},
"ok"=>1.0}
结果表明仅使用{ hold_until: 1 }
索引,并且检查了许多文档。
我想了解为什么两个查询的计划有所不同,以及是否有可能编写此查询以使其完全被索引覆盖。
距您提出要求已经快两年了。到目前为止,还没有人回答这个问题,因为我想,答案将吸引潜在的反对者。我想知道是否还有任何答案与您相关。
我既不知道您在数据库中拥有什么,也不对MongoDB索引有很多了解,但是获胜的计划是“ FETCH”是一个好兆头。这意味着您的索引正在工作。相反,如果根本没有使用索引,则该计划将为“ COLLSCAN”。
现在解决其余问题:
这里的主要收获是:有时您需要放手。如果您希望每个细节都精确无误,那么您所取得的成就将不及那些无知的健康水平。如果数据库运行良好,则表明您运行良好。