I have the following document with this array:
"r" : [{
"id" : "890",
"ca" : "Other CPF Schemes and Priorities",
"su" : "National Day Rally 2015"
}, {
"id" : "1031-52347",
"ca" : "Current Events",
"su" : "Lee Kuan Yew"
}]
and I would like to list all documents where the id has got a dash so document with "id" : "1031-52347" will be returned.
I tried this:
{
r: { id: { $in: [/^-/] } }
}
but not able to get anything.
What would be the correct syntax?
I used this regex:
^[0-9]+-[0-9]+$
Debuggex Demo
You should try this database query:
"r":
{
{ "id": {"$regex" : new RegExp("^[0-9]+-[0-9]+$") } }
}
UPDATE
Working database queries by Blakes Seven
db.mydb.find({ "r.id": { "$regex": "^[0-9]+-[0-9]+$" }})
or
db.mydb.find({ "r.id": /^[0-9]+-[0-9]+$/ })
Related
I have a Meteor Mongo document as shown below
{
"_id" : "zFndWBZTvZPgSKXHP",
"activityId" : "aRDABihAYFoAW7jbC",
"activityTitle" : "Test Mongo Document",
"users" : [
{
"id" : "b1#gmail.com",
"type" : "free"
},
{
"id" : "JqKvymryNaCjjKrAR",
"type" : "free"
},
],
}
I want to update a specific array element's email with custom generated id using Meteor query something like the below.
for instance, I want to update the document
if 'users.id' == "b1#gmail.com" then update it to users.id = 'SomeIDXXX'
So updated document should looks like below.
{
"_id" : "zFndWBZTvZPgSKXHP",
"activityId" : "aRDABihAYFoAW7jbC",
"activityTitle" : "Test Mongo Document",
"users" : [
{
"id" : "SomeIDXXX",
"type" : "free"
},
{
"id" : "JqKvymryNaCjjKrAR",
"type" : "free"
},
],
}
I have tried the below but didnt work.
Divisions.update(
{ activityId: activityId, "users.id": emailId },
{ $set: { "users": { id: _id } } }
);
Can someone help me with the relevant Meteor query ? Thanks !
Your query is actually almost right except for a small part where we want to identify the element to be updated by its index.
Divisions.update({
"activityId": "aRDABihAYFoAW7jbC",
"users.id": "b1#gmail.com"
}, {
$set: {"users.$.id": "b2#gmail.com"}
})
You might need the arrayFilters option.
Divisions.update(
{ activityId: activityId },
{ $set: { "users.$[elem].id": "SomeIDXXX" } },
{ arrayFilters: [ { "elem.id": "b1#gmail.com" } ], multi: true }
);
https://docs.mongodb.com/manual/reference/operator/update/positional-filtered/
You need to use the $push operator instead of $set.
{ $push: { <field1>: <value1>, ... } }
Below the data structure of my services in MongoDB:
"serviceInfo" : {
"title" : "Lorem ipsum",
"options" : [
{
"startDate" : ISODate("2018-10-01T00:00:00.000Z"),
"endDate" : ISODate("2018-10-31T00:00:00.000Z"),
"availabilities" : [
{
"businessDay" : {
"id" : 1,
"name" : "Monday"
},
}
]
}
]
Now, I want to query all the services available the Monday during the period between startDate and endDate.
I tried this code but I have an empty array as result instead of my document.
db.collection('services').find({
'serviceInfo.options': {
$elemMatch: {
'startDate': { $lte: new Date(req.query.date) },
'endDate': { $gte: new Date(req.query.date) },
'availabilities': {
$elemMatch: {
'businessDay.id': req.query.day
}
}
}
}
}).toArray()
I guess my problem is in the nested array availabilities but I don't find the correct way to do the query.
Thanks in advance for your help.
I found my problem.
'businessDay.id' expected an Int32 and parseInt(req.query.day) did the trick.
I have a Mongo collection the consists of a document and a nested object describing what collections the document is in and when it was added. I would like to remove key-value pairs from a nested object based on a condition, e.g. is the value (a date) before 1-1-2016.
Example:
{
"_id" : ObjectId("581214940911ad3de98002db"),
"collections" : {
"c01" : ISODate("2016-10-27T15:52:04.512Z"),
"c02" : ISODate("2015-11-21T16:06:06.546Z")
}
}
needs to become
{
"_id" : ObjectId("581214940911ad3de98002db"),
"collections" : {
"c01" : ISODate("2016-10-27T15:52:04.512Z"),
}
}
One alternative would be to change the schema to something like this:
{
"_id" : ObjectId("581214940911ad3de98002db"),
"collections" : [
{
"id": "c01",
"date": ISODate("2016-10-27T15:52:04.512Z")
},
{
"id": "c02",
"date" : ISODate("2015-11-21T16:06:06.546Z")
}
]
}
in which case removing a document from a would be easy. I am a bit reluctant to do that because it would complicate some of the other queries I would like to support. Thanks!
I prefer the second structure for your schema
{
"_id" : ObjectId("581214940911ad3de98002db"),
"collections" : [
{
"id": "c01",
"date": ISODate("2016-10-27T15:52:04.512Z")
},
{
"id": "c02",
"date" : ISODate("2015-11-21T16:06:06.546Z")
}
]
}
then able to remove from collections like this
db.collectionName.update(
{ },// if you want can add query for specific Id {"_id" : requestId},
{ $pull: { collections: { date: {$lt: yourDate} } } }, // if need can convert iso date string like: new Date(yourDate).toISOString()
{ multi: true }
)
I have a collection with multiple documents which follow this structure:
{
"_id" : {
"oid" : XXX
},
"name" : "Name",
"videos" [
{
"id" : 1,
"thumbnail" : "thumbnail.jpg",
"name" : "Name here"
},
{
"id" : 2,
"thumbnail" : "thumbnail.jpg",
"name" : "Name here"
},
{
"id" : 3,
"thumbnail" : "thumbnail.jpg",
"name" : "Name here"
}
]
}
I want to find and update the a thumbnail of a video, of which I only know the id, but not which document it is in.
This is what I've tried so far, but it's not working properly. All the examples I found relied on knowing the document id, and the array position of the object to update. I also found that doing a query like this found the document okay, but set the whole document as the new thumbnail!
db.collection(COLLECTION-NAME, function(err, collection){
collection.update(
{ 'videos.id' : 2 },
{ $set: { thumbnail: "newThumbnail.jpg" } },
function(err, result){
if (!err){
console.log('saved', result)
} else {
console.log('error', err);
}
}
);
});
Use the $ positional operator to update the value of the thumbnail field within the embedded document having the id of 2:
db.collection.update(
{ "videos.id": 2 },
{ "$set": { "videos.$.thumbnail" : "newThumbnail.jpg" } }
)
Past answers (from mid 2013 and before) don't seem to work and links to the documentation are all out of date.
Example user object:
{
"name": "Joe Bloggs",
"email": "joebloggs#example.com",
"workstations" : [
{ "number" : "10001",
"nickname" : "home" },
{ "number" : "10002",
"nickname" : "work" },
{ "number" : "10003",
"nickname" : "vacation" }
]
}
How can I modify the nickname of a workstation?
I tried using $set, workstations.$ and workstations.nickname but none gave the desired results.
Short answer, you have to use array index. For example, you want to update the nickname of 10002: {$set:{"workstations.1.nickname":"newnickname"}}
Here is the complete example:
> db.test.update({"_id" : ObjectId("5332b7cf4761549fb7e1e72f")},{$set:{"workstations.1.nickname":"newnickname"}})
> db.test.findOne()
{
"_id" : ObjectId("5332b7cf4761549fb7e1e72f"),
"email" : "joebloggs#example.com",
"name" : "Joe Bloggs",
"workstations" : [
{
"number" : "10001",
"nickname" : "home"
},
{
"nickname" : "newnickname",
"number" : "10002"
},
{
"number" : "10003",
"nickname" : "vacation"
}
]
}
>
If you don't know the index (position of the workstations), you can update the doc using $elemMatch:
>db.test.update(
{
"email": "joebloggs#example.com",
"workstations": { "$elemMatch" { "number" : "10002" } }
},
{
"$set": { "workstations.$.nickname": "newnickname2" }
}
)
>
#naimdjon's answer would work. To generalize, you could use the $elemMatch operator in combination with the $ positional operator to update one element in the array using below query:
db.test.update({
// Find the document where name="Joe Bloggs" and the element in the workstations array where number = "10002"
"name": "Joe Bloggs",
"workstations":{$elemMatch:{"number":"10002"}}
},
{
// Update the nickname in the element matched
$set:{"workstations.$.nickname":"newnickname"}
})
Note: $elemMatch is only required if you need to match more than one component in the array. If you are going to match on just the number, you could use "workstations.number":"10002"
As long as you know "which" entry you wish to update then the positional $ operator can be of help. But you need to update your query form:
db.collection.update(
{
"email": "joebloggs#example.com",
"workstations": { "$elemMatch" { "nickname" : "work" } }
},
{
"$set": { "workstations.$.nickname": "new name" }
}
)
So that is the general form. What you need to do here is "match" something in the array in order to get a "position" to use for the update.
Alternately, where you know the position, then you can just "specify" the position with "dot notation":
db.collection.update(
{
"email": "joebloggs#example.com",
},
{
"$set": { "workstations.1.nickname": "new name" }
}
)
Which updates the second element in the array, and does not need the "matching" part in the query.