您可以aggregate()
为此使用方法。首先让我们创建一个包含文档的集合
> db.averageAggregationDemo.insertOne({"PlayerGameScore":45}); { "acknowledged" : true, "insertedId" : ObjectId("5c9ed66bd628fa4220163b95") } > db.averageAggregationDemo.insertOne({"PlayerGameScore":55}); { "acknowledged" : true, "insertedId" : ObjectId("5c9ed671d628fa4220163b96") } > db.averageAggregationDemo.insertOne({"PlayerGameScore":65}); { "acknowledged" : true, "insertedId" : ObjectId("5c9ed676d628fa4220163b97") } > db.averageAggregationDemo.insertOne({"PlayerGameScore":35}); { "acknowledged" : true, "insertedId" : ObjectId("5c9ed67bd628fa4220163b98") } > db.averageAggregationDemo.insertOne({"PlayerGameScore":16}); { "acknowledged" : true, "insertedId" : ObjectId("5c9ed701d628fa4220163b99") }
以下是在find()
方法的帮助下显示集合中所有文档的查询
> db.averageAggregationDemo.find().pretty();
这将产生以下输出
{ "_id" : ObjectId("5c9ed66bd628fa4220163b95"), "PlayerGameScore" : 45 } { "_id" : ObjectId("5c9ed671d628fa4220163b96"), "PlayerGameScore" : 55 } { "_id" : ObjectId("5c9ed676d628fa4220163b97"), "PlayerGameScore" : 65 } { "_id" : ObjectId("5c9ed67bd628fa4220163b98"), "PlayerGameScore" : 35 } { "_id" : ObjectId("5c9ed701d628fa4220163b99"), "PlayerGameScore" : 16 } Following is the query to get the average of an entire field with aggregation: > db.averageAggregationDemo.aggregate({ "$group": { "_id": null, "PlayerGameScoreAverage": { "$avg": "$PlayerGameScore" } } } );
这将产生以下输出
{ "_id" : null, "PlayerGameScoreAverage" : 43.2 }