在数组字段不为空的情况下查找MongoDB记录？
您可以为此使用$ne（NotEqual）运算符。为了理解这个概念，让我们创建一个带有文档的集合。创建带有文档的集合的查询如下-
> db.arrayFieldIsNotEmptyDemo.insertOne({"StudentName":"Larry","StudentTechnicalSubject":["Java","C"]});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c76fe2f1e9c5dd6f1f78291")
}
> db.arrayFieldIsNotEmptyDemo.insertOne({"StudentName":"Mike","StudentTechnicalSubject":[]});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c76fe3b1e9c5dd6f1f78292")
}
> db.arrayFieldIsNotEmptyDemo.insertOne({"StudentName":"Sam","StudentTechnicalSubject":["MongoDB"]});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c76fe491e9c5dd6f1f78293")
}
> db.arrayFieldIsNotEmptyDemo.insertOne({"StudentName":"Carol","StudentTechnicalSubject":[]});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c76fe521e9c5dd6f1f78294")
}
> db.arrayFieldIsNotEmptyDemo.insertOne({"StudentName":"David","StudentTechnicalSubject":["MySQL","SQL Server"]});
{
"acknowledged" : true,
"insertedId" : ObjectId("5c76fe661e9c5dd6f1f78295")
}在find()method的帮助下显示集合中的所有文档。查询如下-
> db.arrayFieldIsNotEmptyDemo.find().pretty();
输出结果
{
"_id" : ObjectId("5c76fe2f1e9c5dd6f1f78291"),
"StudentName" : "Larry",
"StudentTechnicalSubject" : [
"Java",
"C"
]
}
{
"_id" : ObjectId("5c76fe3b1e9c5dd6f1f78292"),
"StudentName" : "Mike",
"StudentTechnicalSubject" : [ ]
}
{
"_id" : ObjectId("5c76fe491e9c5dd6f1f78293"),
"StudentName" : "Sam",
"StudentTechnicalSubject" : [
"MongoDB"
]
}
{
"_id" : ObjectId("5c76fe521e9c5dd6f1f78294"),
"StudentName" : "Carol",
"StudentTechnicalSubject" : [ ]
}
{
"_id" : ObjectId("5c76fe661e9c5dd6f1f78295"),
"StudentName" : "David",
"StudentTechnicalSubject" : [
"MySQL",
"SQL Server"
]
}这是查找MongoDB记录的查询，其中数组字段不为空-
> db.arrayFieldIsNotEmptyDemo.find({StudentTechnicalSubject:{$exists:true,$ne:[]}}).pretty();输出结果
{
"_id" : ObjectId("5c76fe2f1e9c5dd6f1f78291"),
"StudentName" : "Larry",
"StudentTechnicalSubject" : [
"Java",
"C"
]
}
{
"_id" : ObjectId("5c76fe491e9c5dd6f1f78293"),
"StudentName" : "Sam",
"StudentTechnicalSubject" : [
"MongoDB"
]
}
{
"_id" : ObjectId("5c76fe661e9c5dd6f1f78295"),
"StudentName" : "David",
"StudentTechnicalSubject" : [
"MySQL",
"SQL Server"
]
}