$ifNull 运算符在我的 mongo db FIND 查询中无法使用日期键字段

Question

我想提取所有在 NVL（修改日期，创建日期）之后具有给定日期的订单。

modifiedDateTime 和 createdDateTime 不遵循大多数其他日期字段，我似乎无法弄清楚如何对它们进行操作符。 并非所有记录都有 modifiedDateTime，所以当它丢失时，我想退回到 createDateTime。 .我尝试了一些东西，但无法获得任何数据逻辑来测试它。

• 在以下位置查找所有记录：
• 示例值：2018 年 8 月 24 日星期五 23:25:16 UTC
• 如果 modifiedDateTime 存在：日期 > modifiedDateTime
• 如果 modifiedDateTime 不存在：日期 > createdDateTime
• SQL 版本：WHERE NVL(modifiedDateTime, createdDateTime) > '30-SEP-2019'

我尝试了以下但没有成功：

db.getCollection('createProvisionServiceOrderRepositoryRequest').find(
    {
        'modifiedDateTime': {
            '$ifNull': [
                {'$gte': new ISODate("2019-09-30T00:00:00.000Z")},
                {'createdDateTime': {'$gte': new ISODate("2019-09-30T00:00:00.000Z")}}
            ]
        }
    }
).count()

两个文档示例：

{
        "_id" : "CANO-857098021127729",
        "_class" : "yyyy",
        "customerOrderNumber" : "xxxx",
        "billingAccountNumber" : "123",
        "version" : "1",
        "customerServiceOrderStatus" : "REJECTED",
        "createdDateTime" : "Mon Sep 04 17:35:41 IST 2017"
}
{
        "_id" : "CUMO-971416171118821",
        "_class" : "yyyy",
        "customerOrderNumber" : "xxxx",
        "provisioningServiceOrder" : [
                {
                        "_id" : "string",
                        "provisioningServiceOrderObject" : "Test Data",
                        "status" : "string",
                        "correctionList" : [
                                {
                                        "correctionType" : "string",
                                        "correctionName" : "string",
                                        "correctionAction" : "string",
                                        "correctionOldValue" : "string",
                                        "correctionNewValue" : "string",
                                        "attributeList" : [
                                                {
                                                        "attributeType" : "string",
                                                        "attributeName" : "string",
                                                        "attributeAction" : "string",
                                                        "attributeOldValue" : "string",
                                                        "attributeNewValue" : "string"
                                                }
                                        ]
                                }
                        ]
                }
        ],
        "customerServiceOrderStatus" : "completed",
        "modifiedDateTime" : "Wed Sep 06 07:15:47 UTC 2017"
}

Answer 1

我们可以简单地在modifiedDateTime 和createdDateTime 检查上应用 OR。如果modifiedDateTime 为空或小于指定日期，则仅评估 OR 块中的第二个条件。

我们可以使用$toDate 运算符将正确的日期字符串转换为日期对象。

例如：

db.collection.find({
    $expr:{
        $or:[
            {
                $gte:[
                    {
                        $toDate:"$modifiedDateTime"
                    },
                    new ISODate("2017-09-03T00:00:00.000Z")
                ]
            },
            {
                $gte:[
                    {
                        $toDate:"$createdDateTime"
                    },
                    new ISODate("2017-09-03T00:00:00.000Z")
                ]
            }
        ]
    }
}).pretty()

对于 MongoDB 3.4：

db.collection.find({
    $where: function(){
        var selectedDate = new ISODate("2017-09-03T00:00:00.000Z");  
        if(this.modifiedDateTime == null){
            if(this.createdDateTime != null){
                var preparedCreatedDateTime = this.createdDateTime.substring(0,11) + this.createdDateTime.substring(24) + " " + this.createdDateTime.substring(11,19);
                return new Date(preparedCreatedDateTime) > selectedDate;
            }
        }else{
            var preparedModifiedDateTime = this.modifiedDateTime.substring(0,11) + this.modifiedDateTime.substring(24) + " " + this.modifiedDateTime.substring(11,19);
            return new Date(preparedModifiedDateTime) > selectedDate;
        }
        return false;
    }
}).pretty()

数据集：

{
    "_id" : "CANO-857098021127729",
    "_class" : "yyyy",
    "customerOrderNumber" : "xxxx",
    "customerServiceOrderStatus" : "REJECTED",
    "createdDateTime" : "Mon Sep 04 17:35:41 IST 2017"
}
{
    "_id" : "CUMO-971416171118821",
    "_class" : "yyyy",
    "customerOrderNumber" : "xxxx",
    "customerServiceOrderStatus" : "completed",
    "modifiedDateTime" : "Wed Sep 06 07:15:47 UTC 2017"
}
{
    "_id" : "CUMO-971416171118824",
    "_class" : "yyyy",
    "customerOrderNumber" : "xxxx",
    "customerServiceOrderStatus" : "completed",
    "modifiedDateTime" : "Sat Sep 02 07:15:47 UTC 2017"
}

输出：

{
    "_id" : "CANO-857098021127729",
    "_class" : "yyyy",
    "customerOrderNumber" : "xxxx",
    "customerServiceOrderStatus" : "REJECTED",
    "createdDateTime" : "Mon Sep 04 17:35:41 IST 2017"
}
{
    "_id" : "CUMO-971416171118821",
    "_class" : "yyyy",
    "customerOrderNumber" : "xxxx",
    "customerServiceOrderStatus" : "completed",
    "modifiedDateTime" : "Wed Sep 06 07:15:47 UTC 2017"
}