{
"_id" : ObjectId("586aac4c8231ee0b98458045"),
"store_code" : NumberInt(10800),
"counter_name" : "R.N.Electric",
"address" : "314 khatipura road",
"locality" : "Khatipura Road (Jhotwara)",
"pincode" : NumberInt(302012),
"town" : "JAIPUR",
"gtm_city" : "JAIPUR",
"sales_office" : "URAJ",
"owner_name" : "Rajeev",
"owner_mobile" : "9828024073",
"division_mapping" : [//this contains only 1 element in every doc
{
"dvcode" : "cfc",
"dc" : "trade",
"beatcode" : "govindpura",
"fos" : {
"_id" : ObjectId("586ab8318231ee0b98458843"),
"loginid" : "9928483483",
"name" : "Arpit Gupta",
"division" : [
"cfc",
"iron"
],
"sales_office" : "URAJ", //office
"gtm_city" : "JAIPUR" //city
},
"beat" : {
"_id" : ObjectId("586d372b39f64316b9c3cbd7"),
"division" : {
"_id" : ObjectId("5869f8b639f6430fe4edee2a"),
"clientdvcode" : NumberInt(40),
"code" : "cfc",
"name" : "Cooking & Fabric Care",
"project_code" : "usha-fos",
"client_code" : "usha",
"agent_code" : "v5global"
},
"beatcode" : "govindpura",
"sales_office" : "URAJ",
"gtm_city" : "JAIPUR",
"active" : true,
"agency_code" : "v5global",
"client_code" : "USHA_FOS",
"proj_code" : "usha-fos",
"fos" : {
"_id" : ObjectId("586ab8318231ee0b98458843"),
"loginid" : "9928483483",
"name" : "Arpit Gupta",
"division" : [
"cfc",
"iron"
],
"sales_office" : "URAJ",
"gtm_city" : "JAIPUR"
}
}
}
],
"distributor_mail" : "sunil.todi#yahoo.in",
"project_code" : "usha-fos",
"client_code" : "usha",
"agent_code" : "v5global",
"distributor_name" : "Sundeep Electrical"
}
I am having only 1 element in division_mapping's array and I want to find those documents whose dc in division_mapping is trade.
I have tried following:
"division_mapping":{$elemMatch:{$eq:{"dc":"trade"}}}})
Dont know what I am doing wrong.
//Maybe I have to unwind the array but is there any other way?
According to MongoDB documentation
The $elemMatch operator matches documents that contain an array
field with at least one element that matches all the specified query
criteria.
According to above mentioned description to retrieve only documents whose dc in division_mapping is trade please try executing below mentioned query
db.collection.find({division_mapping:{$elemMatch:{dc:'trade'}}})
Related
I am trying to fetch total replies where read values for a replies is true. But I am getting count value as 3 but expected value is 2 (since only two read value is true) through Aggregation function available in Spring Data Mongo. Below is the code which I wrote:
Aggregation sumOfRepliesAgg = newAggregation(match(new Criteria().andOperator(Criteria.where("replies.repliedUserId").is(userProfileId),Criteria.where("replies.read").is(true))),
unwind("replies"), group("replies").count().as("repliesCount"),project("repliesCount"));
AggregationResults<Comments> totalRepliesCount = mongoOps.aggregate(sumOfRepliesAgg, "COMMENTS",Comments.class);
return totalRepliesCount.getMappedResults().size();
Using AND Operator inside Criteria Query and passed two criteria condition but not working as expected. Below is the sample data set:
{
"_id" : ObjectId("5c4ca7c94807e220ac5f7ec2"),
"_class" : "com.forum.api.domain.Comments",
"comment_data" : "logged by karthe99",
"totalReplies" : 2,
"replies" : [
{
"_id" : "b33a429f-b201-449b-962b-d589b7979cf0",
"content" : "dasdsa",
"createdDate" : ISODate("2019-01-26T18:33:10.674Z"),
"repliedToUser" : "#karthe99",
"repliedUserId" : "5bbc305950a1051dac1b1c96",
"read" : false
},
{
"_id" : "b886f8da-2643-4eca-9d8a-53f90777f492",
"content" : "dasda",
"createdDate" : ISODate("2019-01-26T18:33:15.461Z"),
"repliedToUser" : "#karthe50",
"repliedUserId" : "5c4bd8914807e208b8a4212b",
"read" : true
},
{
"_id" : "b56hy4rt-2343-8tgr-988a-c4f90598h492",
"content" : "dasda",
"createdDate" : ISODate("2019-01-26T18:33:15.461Z"),
"repliedToUser" : "#karthe50",
"repliedUserId" : "5c4bd8914807e208b8a4212b",
"read" : true
}
],
"last_modified_by" : "karthe99",
"last_modified_date" : ISODate("2019-01-26T18:32:41.394Z")
}
What is the mistake in the query that I wrote?
I used switch statement to assign some text based on different value ; here it returns correct output.
Now from the above output ,again I need to filter out few documents using regular expression.
Some thing like "where status likes 'open%'"
db.accountMailLog.aggregate([
{$match:{'$and': [{recipientId: "3003590"}, {recipientType: "2"}
]}},
{$project :
{
'_id' : 0,
'logCreated' : '$eventOccurredTime',
'subject' : 1,
'resourceType' : 'email',
'campaignName' : 1,
'emailSendDay' : 1,
'logDate' : '$eventOccurredTime',
'sentMethod' : 'campaign-email',
'visitorKey' : '',
'mediaHash' : '',
"status" : {'$switch' :
{'branches' :
[
{'case' : {'$eq' : ['$status','1']},'then' : "delivered"},
{'case' : {'$eq' : ['$status','2']},'then' : "opened"},
{'case' : {'$eq' : ['$status','3']},'then' : "clicked"},
{'case' : {'$eq' : ['$status','4']},'then' : "bounced"},
{'case' : {'$eq' : ['$status','5']},'then' : "unsubscribed"},
{'case' : {'$eq' : ['$status','6']},'then' : "complained"}
]
}
}
}},
]);
Thanks !!!
You can use Regexp. Something like:
"status": open/
I have this array of documents, I would like to put "table" on the same level like mastil_antenas and other variables. how Can I do that with aggregate?
I'm trying with the aggregate $project but I can't get the result.
Example of Data
[ {
"mastil_antena" : "1",
"nro_platf" : "1",
"antmarcmast" : "ANDREW",
"antmodelmast" : "HWXXX6516DSA3M",
"retmarcmast" : "Ericsson",
"retmodelmast" : "ATM200-A20",
"distmast" : "1.50",
"altncramast" : "41.30",
"ORIENTMAG" : "73.00",
"incelecmast" : "RET",
"incmecmast" : "1.00",
"Feedertypemast" : "Fibra Optica",
"longjumpmast" : "5.00",
"longfo" : "100",
"calibrecablefuerza" : "10 mm",
"longcablefuerza" : "65.00",
"modelorruantena" : "32B66A",
"tiltmecfoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114934746000.jpg",
"tiltmecfoto_fh" : "2017-10-18T05:51:22Z",
"az0foto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115012727000.jpg",
"az0foto_fh" : "2017-10-18T05:55:21Z",
"azneg60foto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115016199000.jpg",
"azneg60foto_fh" : "2017-10-18T05:55:36Z",
"azpos60foto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115020147000.jpg",
"azpos60foto_fh" : "2017-10-18T05:55:49Z",
"etiqantenafoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114920853000.jpg",
"etiqantenafoto_fh" : "2017-10-18T05:56:01Z",
"tiltelectfoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114914236000.jpg",
"tiltelectfoto_fh" : "2017-10-18T05:56:13Z",
"idcablefoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114900279000.jpg",
"idcablefoto_fh" : "2017-10-18T05:56:38Z",
"rrutmafoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114947279000.jpg",
"rrutmafoto_fh" : "2017-10-18T05:56:49Z",
"etiquetarrufoto" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114954648000.jpg",
"etiquetarrufoto_fh" : "2017-10-18T05:57:02Z",
"rrutmafoto1" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017114959738000.jpg",
"rrutmafoto1_fh" : "2017-10-18T05:57:12Z",
"etiquetarrufoto1" : "https://secure.appenate.com/Files/FormEntry/47929-92cdf219-3128-4903-8324-a81000602b9d171017115005545000.jpg",
"etiquetarrufoto1_fh" : "2017-10-18T05:57:27Z",
"botontorre4" : "sstelcel3",
"table" : { /* put all varibles one level up*/
"tecmast" : "LTE",
"frecmast" : "2100",
"secmast" : "1",
"untitled440" : "Salir"
},
"comentmast" : "",
"longfeedmast" : "",
"numtmasmast" : "",
"otra_marca_antena" : "",
"otro_modelo_antena" : ""
}]
Starting from MongoDB version 3.4 you could use $addFields to do this.
//replace products with what makes sense in your database
db.getCollection('products').aggregate(
[
{ //1 add the properties from subdocument table to documents
$addFields: {
"documents.tecmast" : "documents.0.table.tecmast",
"documents.frecmast" : "documents.0.table.frecmast",
"documents.secmast" : "documents.0.table.secmast",
"documents.untitled440" : "documents.0.table.untitled440"
}
},
{
//(optional) 2 remove the table property from the documents
$project: {"documents.table" : 0}
}
]
)
Step 1: use $addFields to grab properties from table inside documents.table and put them on documents
Step 2: (optional) remove property "table" from documents.
I hope this helps!!!
I have this document, each is a tool:
{
"_id" : ObjectId("54da43aea96ddcc40915a457"),
"checked_in" : false,
"barcode" : "PXJ-234234",
"calibrations" : [
{
"_id" : ObjectId("54da46ec546173129d810100"),
"cal_date" : null,
"cal_date_due" : ISODate("2014-08-06T00:00:00.000+0000"),
"time_in" : ISODate("2015-02-10T17:46:20.250+0000"),
"time_out" : ISODate("2015-02-10T17:46:20.250+0000"),
"updated_at" : ISODate("2015-02-10T17:59:08.796+0000"),
"created_at" : ISODate("2015-02-10T17:59:08.796+0000")
},
{
"_id" : ObjectId("5509e815686d610b70010000"),
"cal_date_due" : ISODate("2015-03-18T21:03:17.959+0000"),
"time_in" : ISODate("2015-03-18T21:03:17.959+0000"),
"time_out" : ISODate("2015-03-18T21:03:17.959+0000"),
"cal_date" : ISODate("2015-03-18T21:03:17.959+0000"),
"updated_at" : ISODate("2015-03-18T21:03:17.961+0000"),
"created_at" : ISODate("2015-03-18T21:03:17.961+0000")
},
{
"_id" : ObjectId("5509e837686d610b70020000"),
"cal_date_due" : ISODate("2015-03-18T21:03:51.189+0000"),
"time_in" : ISODate("2015-03-18T21:03:51.189+0000"),
"time_out" : ISODate("2015-03-18T21:03:51.189+0000"),
"cal_date" : ISODate("2015-03-18T21:03:51.189+0000"),
"updated_at" : ISODate("2015-03-18T21:03:51.191+0000"),
"created_at" : ISODate("2015-03-18T21:03:51.191+0000")
}
],
"group" : "Engine",
"location" : "Here or there",
"model" : "ZX101C",
"serial" : NumberInt(15449),
"tool" : "octane analyzer",
"updated_at" : ISODate("2015-09-30T20:43:55.652+0000"),
"description" : "Description...",
}
Tools are calibrated periodically. What I want to do is grab tools that are due this month.
Currently, my query is this:
scope :upcoming, -> { where(:at_ats => false).where('calibrations.0.cal_date_due' => {'$gte' => Time.now-1.day, '$lte' => Time.now+30.days}).order_by(:'calibrations.cal_date_due'.asc) }
However, this query gets the tool by the first calibration object and it needs to be the last. I've tried a myriad of things, but I'm stuck here.
How can I make sure I'm querying the most recent calibration document, not the first (which would be the oldest and therefore not relevant)?
You should look into aggregation framework and $unwind operator.
This link may be of help.
This link may be helpful. It contains an example of use of 'aggregation framework' for get the last element of the array, that is, the most recent in your case.
So I have mongodb collection with documents that some of them have the same key (beatmapset_id):
{
"_id" : "fgq7SK7LnLbcFzgSb",
"beatmapset_id" : "59049",
"version" : "Hard",
"artist" : "UNDEAD CORPORATION",
"title" : "Yoru Naku Usagi wa Yume wo Miru",
"creator" : "Strawberry"
}
{
"_id" : "u7M8wibPwxuStNLSM",
"beatmapset_id" : "59049",
"version" : "jom's Taiko Muzukashii",
"artist" : "UNDEAD CORPORATION",
"title" : "Yoru Naku Usagi wa Yume wo Miru",
"creator" : "Strawberry"
}
{
"_id" : "ChRwdj7kbPL7oYgty",
"beatmapset_id" : "59049",
"version" : "jom's Taiko Oni",
"artist" : "UNDEAD CORPORATION",
"title" : "Yoru Naku Usagi wa Yume wo Miru",
"creator" : "Strawberry"
}
How do I publish only unique documents? Something like this:
Meteor.publish("beatmaps", function() {
return Beatmaps.find({ beatmapset_id: 1 }, { unique: true });
});
Now i solve this having 2 collections. One with all documents and one where I removed those documents with this code:
db.beatmaps.ensureIndex({ beatmapset_id: 1 }, { unique: true, dropDups: true });
But it's slow and when my first collection updates I also need to update second as well. I'm sure it can be done more consistent way.