Yearly Grouping with MongoDB's Aggregate Framework

I've been experimenting with the aggregate function to group date fields by year:

db.identities.aggregate([
{
    $group : {
        _id : { year : {$year : "$birth_date"}},
        total : {$sum : 1}
        }
    }   
])

However, I encountered a challenge with some dates falling before 1970 which resulted in an error related to gmtime on my Windows system:

{
    "errmsg" : "exception: gmtime failed - your system doesn't support dates before 1970",
    "code" : 16422,
    "ok" : 0
}

Considering potential solutions like running a virtual machine, I'm curious if there are any workarounds specifically for Windows (Windows 7 in this case). If not, I am wondering about the performance impact of storing the date as a nested object:

birth_date : {
  year : 1980,
  month : 12,
  day : 9
}

I am unsure how this might affect indexes and overall database performance.

Seeking advice and suggestions!

javascriptmongodb

Answer №1

Certain iterations of Windows have a proven track record of compatibility. Might I inquire if you are utilising a 32-bit operating system? The specific code in question can be found here, and relies on the gmtime_s() function implementation.

If your dataset is primarily for aggregation queries, storing date components in an object should suffice. It would be wise to abbreviate the field names (such as y, m, d) to conserve storage space, as redundant field strings are included in each stored document. However, this approach sacrifices the ability to use any aggregation date operators. Consider storing the timestamp as a signed integer (e.g. ts) to facilitate range queries when necessary.

Answer №2

The problem arises from the mishandling of the minimum date during aggregation.

To address this issue promptly (if feasible), you can apply one of the following workarounds:

  • Eliminate the records with the earliest date (using a match/filter operation)
  • Apply a filter for dates beyond a specific date threshold

Afterward, proceed with the aggregation process.

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