I am stuck trying to figure out how to use the equivalent of "IN" in sql with MongoDB as I am not getting any results.
Here is sample output of the record/document:
[
{
"_id" : ObjectId("12348749e4b04b2d017ff78e"),
"account" : "foo",
"archivedFilteredEvents" : [
{
"id" : "all_events",
"name" : "All Events",
"enabled" : false
},
{
"id" : "f123dsad2",
"name" : "test1",
"enabled" : true
}
]
Here is the query I need help with:
printjson(db.mytestdb_profiles.find({
"account" : "foo",
"archivedFilteredEvents.id" : [ "all_events","f123dsad2"]}
));
I am basically looking for the equivalent of:
select id, name, enabled
from mytestdb_profiles
where account = 'foo'
and id.archivedFilteredDEvents IN ('all_events', 'f123dsad2');
You're just missing the $in operator in your query:
db.mytestdb_profiles.find({
"account" : "foo",
"archivedFilteredEvents.id" : { $in: [ "all_events","f123dsad2"] } }
)
Related
I have documents in which I would like to update the hostUser with one of the members of the document,also have to delete the record from the member document and add the chips of the deleted member in the club chips.
Here is the sample document.
{
"_id" : "1002",
"hostUser" : "1111111111",
"clubChips" : 10000,
"requests" : {},
"profile" : {
"clubname" : "AAAAA",
"image" : "0"
},
"tables" : [
"SJCA3S0Wm"
],
"isDeleted" : false,
"members" : {
"1111111111" : {
"chips" : 0,
"id" : "1111111111"
},
"2222222222" : {
"chips" : 0,
"id" : "2222222222"
}
}
}
This is what I have tried.
db.getCollection('test').updateMany({"hostUser":"1111111111"},
{"$set":{"hostUser":"2222222222"},"$unset":{"members.1111111111":""}})
This is how you would handle unset and set in a single call to updateMany. Can you please clarify what you meant by "check if the values exist in the member field"?
db.getCollection('test').updateMany(
{"hostUser":"1111111111"},
{
'$set': {"hostUser":"2222222222"} ,
'$unset': {"members.1111111111":""}
}
)
I have two collections one is websites which stores information like:
{
"_id" : ObjectId("5ac5efd6a37efa4c0e28f5aa"),
"main_id" : 3,
"status" : "",
"website" : "http://test.com",
"last_access_time" : "2018-04-16 17:49:03",
"links" : [
{
"link_id" : "test-1",
"link" : "test1.html"
},
{
"link_id" : "test-2",
"link" : "test.html"
}
]
}
And another is website_info in which I want store info like:
{
"_id" : ObjectId("5ad72ddecf45b60dffcbf9f2"),
"main_id" : 3,
"last_access_time" : "2018-04-18 15:37:02",
"test-1" : {
"no_of_links" : 55,
"links_2" : [
{
"link" : "/home",
"link_id" : "secnd-1",
},
{
"link" : "/login",
"link_id" : "secnd-2",
},
{
"link" : "/services",
"link_id" : "secnd-3",
}
]
},
"test-2" : {
"no_of_links" : 55,
"links_2" : [
{
"link" : "/home",
"link_id" : "secnd-1",
},
{
"link" : "/login",
"link_id" : "secnd-2",
},
{
"link" : "/services",
"link_id" : "secnd-3",
}
]
}
}
I am using Python3 and mongoDB.
Here I want to check the field like "link_id" which is "test-1" in the website_info for main_id = 3 exists or not. If it is exists I will update for same, if does not exists I want to insert new record set.
The thing is how to check whether field "test-1" (which is the value from websites collection) in website_info collection exists or not.
Help is appreciated.
Here in my case, link_id will be unique in website_info collection. So no need to check for main_id, only checking for link_id solved my issue, like:
#classmethod
def find_link(self, link_id):
cursor = self.db.collection.find({link_id: {'$exists': True}} )
results = list(cursor)
return results
And check for exists like:
if(len(is_exists)>0):
#do if exists
In a find query projection, fields I specify after the positional operator are ignored and the whole document is always returned.
'myArray.$.myField' : 1 behave exactly like 'myArray.$' : 1
the positional operator selects the right document. But this document is quite big. I would like to project only 1 field from it.
Exemple:
db.getCollection('match').find({"participantsData.id" : 0001}, { 'participantsData.$.id': 1, })
here the response I have
{
"_id" : "myid",
"matchCreation" : 1463916465614,
"participantsData" : [
{
"id" : 0001,
"plenty" : "of",
"other" : "fields",
"and" : "subdocuments..."
}
]
}
This is what I want
{
"_id" : "myid",
"matchCreation" : 1463916465614,
"participantsData" : [
{
"id" : 0001
}
]
}
Is it possible with mongo?
Yes it can be done in mongo
Please try the below query
db.getCollection('match').find(
{"participantsData.id" : 0001},
{"participantsData.id": 1, "matchCreation": 1 })
This will give you the below result
{
"_id" : "myid",
"matchCreation" : 1463916465614,
"participantsData" : [
{
"id" : 1
}
]
}
I need to be able to get a count of distinct 'transactions' the problem I'm having is that using .distinct() comes back with an error because the documents too large.
I'm not familiar with aggregation either.
I need to be able to group it by 'agencyID' as you see below there are 2 different agencyID's
I need to be able to count transactions where the agencyID is 01721487 etc
db.myCollection.distinct("bookings.transactions").length
this doesn't work as I need to be able to group by agencyID and if there are too many results I get an error saying it's too large.
{
"_id" : ObjectId("5624a610a6e6b53b158b4744"),
"agencyID" : "01721487",
"paxID" : "-530189664",
"bookings" : [
{
"bookingID" : "24232",
"transactions" : [
{
"tranID" : "001",
"invoices" : [
{
"invNum" : "1312",
"type" : "r",
"inv_date" : "20150723",
"inv_time" : "0953",
"inv_val" : -300
}
],
"tranType" : "Fee",
"tranDate" : "20150723",
"tranTime" : "0952",
"opCode" : "admin",
"udf_1" : "j s"
}
],
"acctID" : "acct11",
"agt_id" : "xy"
}
],
"title" : "",
"firstname" : "",
"surname" : "f bar"
}
I've also tried this but it didn't work for me.
thank you for text data -
this is something you could play with:
db.kieron.aggregate([{
$unwind : "$bookings"
}, {
$match : {
"bookings.transactions" : {
$exists : true,
$not : {
$size : 0
}
}
}
}, {
$group : {
_id : "$agencyID",
count : {
$sum : {
$size : "$bookings.transactions"
}
}
}
}
])
as there is nested array we need to unwind it first, and then we can check size of inner array.
Happy reporting!
I am newbie in MongoDB. I have stored data inside mongoDB in below format
"_id" : ObjectId("51d5725c7be2c20819ac8a22"),
"chrom" : "chr22",
"pos" : 17060409,
"information" : [
{
"name" : "Category",
"value" : "3"
},
{
"name" : "INDEL",
"value" : "INDEL"
},
{
"name" : "DP",
"value" : "31"
},
{
"name" : "FORMAT",
"value" : "GT:PL:GQ"
},
{
"name" : "PV4",
"value" : "1,0.21,0.00096,1"
}
],
"sampleID" : "Job1373964150558382243283"
I want to update the value to 11 which has the name as Category.
I have tried below query:
db.VariantEntries.update({$and:[ { "pos" : 117199533} , { "sampleID" : "Job1373964150558382243283"},{"information.name":"Category"}]},{$set:{'information.value':'11'}})
but Mongo replies
can't append to array using string field name [value]
How one can form a query which will update the particular value?
You can use the $ positional operator to identify the first array element to match the query in the update like this:
db.VariantEntries.update({
"pos": 17060409,
"sampleID": "Job1373964150558382243283",
"information.name":"Category"
},{
$set:{'information.$.value':'11'}
})
In MongoDB you can't adress array values this way. So you should change your schema design to:
"information" : {
'category' : 3,
'INDEL' : INDEL
...
}
Then you can adress the single fields in your query:
db.VariantEntries.update(
{
{"pos" : 117199533} ,
{"sampleID" : "Job1373964150558382243283"},
{"information.category":3}
},
{
$set:{'information.category':'11'}
}
)