how to calculate time difference based on 2 fields in mongodb - mongodb

I am familiar to simple mongodb queries but this one is a bit complex for me. Here, what I am trying to achieve is on the basis of jsonObject.callID and jsonObject.mobile fields I have to calculate time difference of jsonObject.timestamp. For example in below sample documents, jsonObject.callID and mobile will remain same for jsonObject.action start and end. So based on jsonObject.callID and jsonObject.mobile, I have to subtract the jsonObject.timestamp. jsonObject.callId will be same for two interval actions i.e. start and end with their same jsonObject.mobile numbers.
{
"_id" : ObjectId("5df9bc5ee5e7251030535df5"),
"_class" : "com.abc.mongo.docs.IvrMongoLog",
"jsonObject" : {
"mode" : "ivr",
"callID" : "33333",
"callee" : "128",
"action" : "end",
"mobile" : "218924535466",
"timestamp" : "2019-12-18 16:18:12"
}
}
{
"_id" : ObjectId("5df9bc3de5e7251030535df4"),
"_class" : "com.abc.mongo.docs.IvrMongoLog",
"jsonObject" : {
"mode" : "ivr",
"callID" : "33333",
"callee" : "128",
"action" : "start",
"mobile" : "218924535466",
"timestamp" : "2019-12-18 16:12:11"
}
}
So I am trying to achieve a output like below:
{
"callee" : "128",
"mobile" : "218924535466",
"callID" : "33333",
"minutes_of_call" : "6" // difference of "2019-12-18 16:18:12" - "2019-12-18 16:12:11"
}
subsequently I need such results for next documents...
Kindly assist.

Related

Get data from JSON using query parameters

I have to make an API whose endpoint will be like day=1&time=1000 and by using these query parameters I have to write a mongo query, JSON will be like
"_id" : ObjectId("62257ddd76b35400010e7015"),
"applyOffersOn" : [
{
"day" : 1,
"startTime" : NumberLong("1646625639561"),
"endTime" : NumberLong("1646631039561"),
"startTimeFormat" : NumberLong(930),
"endTimeFormat" : NumberLong(1100)
},
{
"day" : 2,
"startTime" : NumberLong("1646625639561"),
"endTime" : NumberLong("1646631039561"),
"startTimeFormat" : NumberLong(930),
"endTimeFormat" : NumberLong(1100)
},
{
"day" : 3,
"startTime" : NumberLong("1646625639561"),
"endTime" : NumberLong("1646631039561"),
"startTimeFormat" : NumberLong(1930),
"endTimeFormat" : NumberLong(2100)
}
],
}```
the query should be like I have to first check for a particular object using objectId then finding the object, check for the day is present as 1 and then check for the time that it will be between
startTimeFormat and endTimeFormat if all these conditions satisfy then return the whole object
I have written the query but it either works for the day or for a time but it should work like it check for both condition
I think this will help ,
##elemMatch - it will loop you through all elements of array.
const answer = <your model schema>.findById(req.params.id).find({applyOffersOn:{$elemMatch:{day:<your day from query> } }}).find({applyOffersOn:{$elemMatch : {startTimeFormat: {$lte:<your time from query> },endTimeFormat:{$gte:<your time from query>} }}})

And Operator in Criteria not working as expected for nested documents inside aggregation Spring Data Mongo

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?

Mongoid query embedded document and return parent

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.

How to run multi condition check in mongodb update query?

I have the following scenario.
I need to check multiple condition in a single update query.
Sample Data :
"host" : "zigwheels.com",
"lastAccessDate" : "20140819",
"sessionId" : "ff8378ed-ccda-4a75-b24b-4a4bb1153e39"
Here is my requirement :
obj=db.userFrequency.find({"host" : "xyz.com", "sessionId" : "ff8378ed-ccda-4a75-b24b-4a4bb1153e39"});
if(obj!=null){
if(obj.get("lastAccessDate")!= todayDate){
//If page has not visited today, increment count by 1 and update "lastAccessDate"=todayDate
db.userFrequency.update({"host" : "xyz.com","sessionId" : "ff8378ed-ccda-4a75-b24b-4a4bb1153e39"},{$set : {"lastAccessDate"=todayDate},$inc : {"count":1}});
}
else{
// If page visited today{lastAccessDate==todayDate}, no need to update count
}
}else{
//Insert the new Entry
db.userFrequency.update({"host" : "xyz.com","sessionId" : "ff8378ed-ccda-4a75-b24b-4a4bb1153e39"},{$set : {"lastAccessDate"=todayDate},$inc : {"count":1}},{upsert:true});
}
I need to do the above operation in a single query but I have GB's of data.
I tried above like below :
db.userFrequency.update({"host" : "xyz.com","lastAccessDate"!=todayDate,"sessionId" : "ff8378ed-ccda-4a75-b24b-4a4bb1153e39"},{$set : {"lastAccessDate"=todayDate},$inc : {"count":1}});
but it inserts new entry because the above condition requires three checks.
Please suggest a solution for the same.
It's awkward if you store your date as a string. Store dates as date type fields and this is easy:
> db.userFrequency.insert({
"host" : "zigwheels.com",
"lastAccessDate" : ISODate("2014-08-19"),
"sessionId" : "ff8378ed-ccda-4a75-b24b-4a4bb1153e39"
})
> var today = ISODate("2014-08-25")
> db.userFrequency.update({
"host" : "zigwheels.com",
"lastAccessDate" : { "$lt" : today },
"sessionId" : "ff8378ed-ccda-4a75-b24b-4a4bb1153e39"
},
{
$set : { "lastAccessDate" : today},
$inc : { "count" : 1 }
})
> db.userFrequency.findOne()
{
"_id" : ObjectId("53fbd08...398"),
"host" : "zigwheels.com",
"lastAccessDate" : ISODate("2014-08-25T00:00:00Z"),
"sessionId" : "ff8378ed-ccda-4a75-b24b-4a4bb1153e39",
"count" : 1
}
I used the $lt operator for the date test because users won't access the website from the future...hopefully. Using proper dates also surfaces another important issue- what timezone defines today? Right now, for me, it's tomorrow in Australia...

In MongoDB, how to filter by location, sort by another field and paginate the results correctly?

When i don't use pagination, everything works fine (i have only 3 records in this collection, so all of them are listed here):
db.suppliers.find({location: {$near: [-23.5968323, -46.6782386]}},{name:1,badge:1}).sort({badge:-1})
{ "_id" : ObjectId("4f33ff549112b9b84f000070"), "badge" : 3, "name" : "Dedetizadora Alvorada" }
{ "_id" : ObjectId("4f33ff019112b9b84f00005b"), "badge" : 2, "name" : "Sampex Desentupidora e Dedetizadora" }
{ "_id" : ObjectId("4f33feae9112b9b84f000046"), "badge" : 1, "name" : "Higitec Desentupimento e Dedetização" }
But when i try to paginate from the first to the second page, one record doesn't show up and one is repeated:
db.suppliers.find({location: {$near: [-23.5968323, -46.6782386]}},{name:1,badge:1}).sort({badge:-1}).skip(0).limit(2)
{ "_id" : ObjectId("4f33ff549112b9b84f000070"), "badge" : 3, "name" : "Dedetizadora Alvorada" }
{ "_id" : ObjectId("4f33feae9112b9b84f000046"), "badge" : 1, "name" : "Higitec Desentupimento e Dedetização" }
db.suppliers.find({location: {$near: [-23.5968323, -46.6782386]}},{name:1,badge:1}).sort({badge:-1}).skip(2).limit(2)
{ "_id" : ObjectId("4f33feae9112b9b84f000046"), "badge" : 1, "name" : "Higitec Desentupimento e Dedetização" }
Am i doing something wrong or is this some kind of bug?
edit:
Here is a workaround for this. Basically you shouldn't mix $near queries with sorting; use $within instead.
There is an open issue regarding the same problem. Please have a look & vote Geospatial result paging fails when sorting with additional keys