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我正在嘗試使用PyMongo構建一個Python腳本，該腳本將能夠擊中可以獲得數量可能存在於數據庫中的n個對象的精確匹配的Mongo DB。目前，我有這樣的設置：在多個文檔字段上的MongoDB精確匹配
db.entries.find({'$or': [<list-of-objects]})
凡對象的列表看起來是這樣的：
[{'email': '[email protected]', 'zip': '11111'}, {'email': '[email protected]', 'zip': '11112'}, ...]
使用$or工作好時，我有在列表中10級左右的項目。我現在正在測試100個，並且要花很長時間才能返回。我曾考慮過使用多個$in過濾器，但我不知道這是否是最佳選擇。
我確定有更好的方法來處理這個問題，但我對Mongo相當陌生。
編輯：的.explain()輸出如下：
{
"executionStats": {
"executionTimeMillis": 228734,
"nReturned": 2,
"totalKeysExamined": 0,
"allPlansExecution": [],
"executionSuccess": true,
"executionStages": {
"needYield": 0,
"saveState": 43556,
"restoreState": 43556,
"isEOF": 1,
"inputStage": {
"needYield": 0,
"saveState": 43556,
"restoreState": 43556,
"isEOF": 1,
"inputStage": {
"needYield": 0,
"direction": "forward",
"saveState": 43556,
"restoreState": 43556,
"isEOF": 1,
"docsExamined": 5453000,
"nReturned": 2,
"needTime": 5452999,
"filter": {
"$or": [{
"$and": [{
"email": {
"$eq": "[email protected]"
}
}, {
"zipcode": {
"$eq": "11111"
}
}]
}, {
"$and": [{
"email": {
"$eq": "[email protected]"
}
}, {
"zipcode": {
"$eq": "11112"
}
}]
}]
},
"executionTimeMillisEstimate": 208083,
"invalidates": 0,
"works": 5453002,
"advanced": 2,
"stage": "COLLSCAN"
},
"nReturned": 2,
"needTime": 5452999,
"executionTimeMillisEstimate": 211503,
"transformBy": {
"_id": false
},
"invalidates": 0,
"works": 5453002,
"advanced": 2,
"stage": "PROJECTION"
},
"nReturned": 2,
"needTime": 5452999,
"executionTimeMillisEstimate": 213671,
"invalidates": 0,
"works": 5453002,
"advanced": 2,
"stage": "SUBPLAN"
},
"totalDocsExamined": 5453000
},
"queryPlanner": {
"parsedQuery": {
"$or": [{
"$and": [{
"email": {
"$eq": "[email protected]"
}
}, {
"zipcode": {
"$eq": "11111"
}
}]
}, {
"$and": [{
"email": {
"$eq": "[email protected]"
}
}, {
"zipcode": {
"$eq": "11112"
}
}]
}]
},
"rejectedPlans": [],
"namespace": "db.entries",
"winningPlan": {
"inputStage": {
"transformBy": {
"_id": false
},
"inputStage": {
"filter": {
"$or": [{
"$and": [{
"email": {
"$eq": "[email protected]"
}
}, {
"zipcode": {
"$eq": "11111"
}
}]
}, {
"$and": [{
"email": {
"$eq": "[email protected]"
}
}, {
"zipcode": {
"$eq": "11112"
}
}]
}]
},
"direction": "forward",
"stage": "COLLSCAN"
},
"stage": "PROJECTION"
},
"stage": "SUBPLAN"
},
"indexFilterSet": false,
"plannerVersion": 1
},
"ok": 1.0,
"serverInfo": {
"host": "somehost",
"version": "3.4.6",
"port": 27017,
"gitVersion": "c55eb86ef46ee7aede3b1e2a5d184a7df4bfb5b5"
}
}
請添加的輸出'.explain（）' –
@MarkusWMahlberg看到OP – xtheking
查詢是有點低效率的，你正在檢查的文件5453000終於得到2個文件。爲什麼不創建1.在任何包含高基數的字段上創建索引，它可以是郵政編碼或電子郵件。 2.使用聚合管道，使用您用來創建索引的字段選擇文檔，然後您必須使用新索引過濾掉大量文檔。希望有所幫助。 – Euclides