Mongodb 日期范围为的Mongo聚合是否已中断？

我有一个文档集合，其中包含一个字符串字段“action”和一个“receivedTimestamp”日期字段，所有这些字段的值都来自2016年3月和4月。我试图计算在一个日期范围内每个动作的数量

当我运行此命令时：

db.getCollection('foo').aggregate([
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

我得到68个结果

当我运行此命令时：

db.getCollection('foo').aggregate([
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

我得到68个结果

当我运行此命令时：

db.getCollection('foo').aggregate([
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

我得到68个结果

当我运行此命令时：

db.getCollection('foo').aggregate([
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

我得到0个结果

当我运行此命令时：

db.getCollection('foo').aggregate([
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

我得到0个结果

---

所以我真的开始认为Mongo聚合的日期范围被打破了。我错了吗？

通过切换到ISODate解决了这个问题：

当我运行此命令时：

db.getCollection('foo').aggregate([
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

我得到68个结果

当我运行此命令时：

db.getCollection('foo').aggregate([
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

我得到0个结果

当我运行此命令时：

db.getCollection('foo').aggregate([
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

我得到0个结果

当我运行此命令时：

db.getCollection('foo').aggregate([
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new Date("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$gte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2016-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

db.getCollection('foo').aggregate([
  {"$match": {"receivedTimestamp": {"$lte": new ISODate("2017-01-01")}}}, 
  {"$group": {"_id":   "$action", "count": {"$sum": 1}}}
])

我得到68个结果

---

这是我期望看到的行为。在这种情况下，我不知道有任何文件要求使用ISODate。

难道你的所有文件都有一个

receivedTimestamp

大于

新日期（“2017-01-01”）

？不，它们都是从2016年3月和4月开始的。可怕的标题，在你问如果广泛使用的软件基本上被打破了，你应该考虑这个事实，“广泛使用”。当然，它并没有被破坏，但你的数据很可能被破坏了。所以忘掉68个结果吧，把4个结果作为文档展示给我们，我们可以自己复制。或者高兴地指出你记录的数据到底出了什么问题，当然这才是真正的问题所在。我的数据没有问题。解决方法是使用ISODate。