MongoDB-design for revisioned data - mongodb

Question

There are many articles and SO questions about MongoDB data-model for storing old revisions of documents.
However, I found nothing satisfying one of my requirements; I need to be able to retroactively query the database to unambiguously find all documents that matched an arbitrary criteria for a given point in time.
To clarify, I need to be able to efficiently answer the question;
"Which documents (and preferably versions) matched criteria {X:Y...} at time T".
Pseudocode:
/* Would match a version that were active from 2010 - 2016-05-01 with zipcode 12345 */
db.my_objs.find({zipcode: "12345", ~time: ISODate("2016-01-01 22:14:31.003")~})
I haven't managed to find any solution, neither on google nor myself. I have tried;
Having a simple "from"-timestamp on data, and then select "the first item before my queried timepoint, that also matches other criteria", but I have not managed to express that in Mongo.
Having a from/to on each version, and whenever I write a new version, update "to" on the previous version to match from on the new version. However, I have not found a way to do this atomically or with eventual consistency, meaning multiple updates could wreak havoc and create ambiguous timelines. (Double entries for the same timepoint)
Any ideas?
edit
an undesirable example query for #1
db.my_objs.find({
data : {
$elemMatch : {
from : {
$lte : ISODate('2015-01-01')
}
}
}
}, {
"data.$" : 1
}).forEach(function (obj) {
    if(obj.data[0].state == 'active') {
printjson(registrar)
}
})–

Answer 1

aggregation framework and $unwind phase which transforms array into single document so we can create sophisticated $match condition
Example Document
{
"_id" : ObjectId("577275589ea91b3799341aba"),
"title" : "Test of design",
"firstCreated" : ISODate("2016-06-28T13:02:16.156Z"),
"lastUpdated" : ISODate("2016-06-28T13:02:16.156Z"),
"firstAuthor" : "profesor79",
"lastAuthor" : "Rawler",
"versions" : [{
"versionId" : 1.0,
"dateCreated" : ISODate("2015-10-10T00:00:00.000Z"),
"datePublished" : ISODate("2015-10-12T00:00:00.000Z"),
"isActive" : false,
"documnetPayload" : {
"a" : 1.0,
"b" : 2.0,
"c" : 3.0
}
}, {
"versionId" : 2.0,
"dateCreated" : ISODate("2015-12-10T00:00:00.000Z"),
"datePublished" : ISODate("2015-12-31T00:00:00.000Z"),
"isActive" : true,
"documnetPayload" : {
"a" : 1.0,
"b" : 3.0,
"c" : 30.0
}
}, {
"versionId" : 3.0,
"dateCreated" : ISODate("2016-01-31T00:00:00.000Z"),
"datePublished" : ISODate("2016-02-21T00:00:00.000Z"),
"isActive" : true,
"documnetPayload" : {
"a" : 11.0,
"b" : 3.0,
"c" : 31.0
}
}
]
}
Aggregation framework example
db.rawler.aggregate([{
$match : {
"_id" : ObjectId("577275589ea91b3799341aba")
}
}, {
$unwind : "$versions"
}, {
$match : {
$and : [{
"versions.dateCreated" : {
$gt : ISODate("2015-10-10T00:00:00.000Z")
}
}, {
"versions.dateCreated" : {
$lte : ISODate("2016-01-30T00:00:00.000Z")
}
}
],
"versions.datePublished" : {
$gt : new Date("2015-10-13T00:00:00.000")
},
// "versions.versionId" :{$in:[1,3,4,5]},
}
}, {
$sort : {
"versions.dateCreated" : -1
}
},
])