I have a document that's setup like this:
{
_id : ObjectId(),
info : [
[
1399583281000,
20.13
],
[
1399583282000,
20.13
],
[
1399583283000,
20.13
],
[
1399583285000,
20.13
],
[
1399583286000,
20.13
]
]
}
This data could be spread across multiple documents. In general, each document contains data in the info for 59 periods (seconds).
What I would like to do is get all of the info data where the timestamp is greater than a specific time.
Any ideas how I would go about doing this?
Thank you
EDIT:
So, I've found that this seems to return all of the documents:
db.infos.find({
info:{
$elemMatch:{
0:{
$gt:1399583306000
}
}
}
})
But maybe I need to use this in an aggregate query? so that it will return just all the values?
To query if the array field contains at least one element with the specified value, use the filter { <field>: <value> } where <value> is the element value. To specify conditions on the elements in the array field, use query operators in the query filter document: { <array field>: { <operator1>: <value1>, ... } }
In MongoDB, you can access the fields of nested/embedded documents of the collection using dot notation and when you are using dot notation, then the field and the nested field must be inside the quotation marks.
Use $match With $eq to Find Matching Documents in an Array in MongoDB. Use $match With $all to Find Matching Documents in an Array in MongoDB.
Filter MongoDB Array Element Using $Filter Operator This operator uses three variables: input – This represents the array that we want to extract. cond – This represents the set of conditions that must be met. as – This optional field contains a name for the variable that represent each element of the input array.
Your on the right track, but there are a few things to note here, aside from the part that nested arrays ( and especially with anonymous keys) are not exactly a great way to store things, but as long as you consistently know the position then that should be reasonably okay.
There is a distinct difference between matching documents and matching "elements of an array". Though your current value would actually not match (your search value is not within the bounds of the document), if the value actually was valid your query correctly matches the "document" here, which contains a matching element in the array.
The "document" contains all of the array elements, even those that do not match, but the condition says the "document" does match, so it is returned. If you just want the matching "elements" then use .aggregate()
instead:
db.infos.aggregate([
// Still match the document
{ "$match": {
"info": {
"$elemMatch": { "0": {"$gte": 1399583285000} }
}
}},
// unwind the array for the matched documents
{ "$unwind": "$info" },
// Match only the elements
{ "$match": { "info.0": { "$gte": 1399583285000 } } },
// Group back to the original form if you want
{ "$group": {
"_id": "$_id",
"info": { "$push": "$info" }
}}
])
And that returns just the elements that matched the condition:
{
"_id" : ObjectId("536c1145e99dc11e65ed07ce"),
"info" : [
[
1399583285000,
20.13
],
[
1399583286000,
20.13
]
]
}
Or course if you only ever expected one element to match, then you could simply use projection with .find()
**:
db.infos.find(
{
"info":{
"$elemMatch":{
"0": {
"$gt": 1399583285000
}
}
}
},
{
"info.$": 1
}
)
But with a term like $gt
you are likely to get multiple hits within a document so the aggregate approach is going to be safer considering that the positional $
operator is only going to return the first match.
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