Get data from JSON using query parameters - mongodb

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>} }}})

Related

Mongo query to find documents which have date less than a particular date and delete it

So this is my data in mongodb
{
"_id" : ObjectId("60f67dc955784b233692a0f2"),
"Id" : "9153",
"InfoList" : [
{
"itemId" : "42342",
"price" : 1009.0,
"date" : ISODate("2021-01-01T08:30:36.131Z")
}
]
}
{
"_id" : ObjectId("6105668a55784bd00ef3ebc6"),
"Id" : "894249",
"InfoList" : [
{
"itemId" : "42342",
"price" : 23.0,
"date" : ISODate("2021-01-01T08:30:36.131Z")
},
{
"itemId" : "3221",
"price" : 44554.0,
"date" : ISODate("2013-07-31T15:05:10.042Z")
}
]
}
I want to find all the items in InfoList for all the documents whose date is less than 2021-02-09 and then delete them.
This is the code that I am using
Query query = new Query();
query.addCriteria(Criteria.where("InfoList")
.elemMatch(Criteria
.where("date")
.lte(date)));
return mongoTemplate.findAllAndRemove(query,ProductInfo.class, CollectionName);
But this code is neither finding the documents which have date < 2021-02-01 nor deleting them. Any suggestions regarding what might be wrong here ?
I'm not familiar with Mongo query I know mongoose more
But do it like this 1-get all the of the object
It will return an array
On this array
2-do an if to check if the date is less than 2021-02-09 if yes remove it using its id

how to calculate time difference based on 2 fields in 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.

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?

How to query an array of objects in mongodb

I have an object structure as shown below
{
"_id" : ObjectId("55d164f1c8f2c53a82535b9a"),
"plant_name" : "TOTAL",
"installed_capacity" : 3473,
"wind_data" : [
{
"date" : "16-08-15",
"timestamp" : " 16:27:15",
"generated_capacity" : 617.24,
"frequency" : 50.01
},
{
"date" : "16-08-15",
"timestamp" : " 21:21:15",
"generated_capacity" : 670.25,
"frequency" : 49.94
}, ....]
}
I need to sum up (at least retrieve) "generated_capacity" of all the objects under "wind_data" having "date" equal to "16-08-15" of "TOTAL" object. I have tried this query
db.collectionName.aggregate(
{"$unwind":"$wind_data"},
{"$match":{"plant_name":"TOTAL","wind_data.date":"16-08-15"}}
)
But, this query is not working. Please suggest some way to figure this out.
The following query would do the job
db.collectionName.aggregate([
{"$unwind":"$wind_data"},
{"$match":{"plant_name":"TOTAL","wind_data.date":"16-08-15"}},
{"$group":{"_id":"$wind_data.date","generated_capacity_sum":{"$sum":"$wind_data.generated_capacity"}}}
])

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...