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Editorial Team
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Editorial Team
Asked: June 6, 20262026-06-06T06:03:45+00:00 2026-06-06T06:03:45+00:00

I have a boolean flag :finished . Should I A: index({ finished: 1 })

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I have a boolean flag :finished. Should I

A: index({ finished: 1 })
B: index({ finished: 1 }, {sparse: true})
C: use flag :unfinished instead, to query by that
D: other?

Ruby mongoid syntax. Most my records will have flag finished=true, and most operations fetch those unfinished, obviously. I’m not sure if I understand when to use sparse and when not to. Thanks!

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  1. Editorial Team
    Editorial Team
    2026-06-06T06:03:46+00:00Added an answer on June 6, 2026 at 6:03 am

    The sparse flag is a little weird. To understand when to use it, you have to understand why “sparse” exists in the first place.

    When you create a simple index on one field, there is an entry for each document, even documents that don’t have that field.

    For example, if you have an index on {rarely_set_field : 1}, you will have an index that is filled mostly with null because that field doesn’t exist in most cases. This is a waste of space and it’s inefficient to search.

    The {sparse:true} option will get rid of the null values, so you get an index that only contain entries when {rarely_set_field} is defined.

    Back to your case.

    You are asking about using a boolean + sparse. But sparse doesn’t really affect “boolean”, sparse affect “is set vs. is not set”.

    In your case, you are trying to fetch unfinished. To leverage sparse the key is not the boolean value, but the fact that unfinished entries have that key and that “finished” entries have no key at all.

    { _id: 1, data: {...}, unfinished: true }
    { _id: 2, data: {...} } // this entry is finished
    

    It sounds like you are using a Queue

    You can definitely leverage the information above to implement a sparse index. However, it actually sounds like you are using a Queue. MongoDB is serviceable as a Queue, here are two examples.

    However, if you look at the Queue, they are not doing it the way you are doing it. I’m personally using MongoDB as a Queue for some production systems and it runs pretty well, but test your expected load as a dedicated Queue will perform much better.

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