MongoDB Redash - FieldPath field names may not contain '.' - mongodb

Question

I am new to mongodb. I am trying to take the daily count. I want count of those element where the fields I_C or L2_C exist and for the last 3 months.
I have written this code, but it is showing error -
"FieldPath field names may not contain '.'".
What would be the correct way to go for this?
Here is the schema of the data I am trying to query on.
{
"_id" : ObjectId("5b83af839bc195a7cfbabefb"),
"firstName" : null,
"lastName" : null,
"realm" : null,
"username" : null,
"password" : "$2a$10$WVTWLevvoJXcMs/x9o/qMOEV56owh2ppjZXJt4pSR8PIDuBeRehwW",
"credentials" : null,
"challenges" : null,
"email" : "ritesh.rnagpure#gmail.com",
"emailVerified" : null,
"verificationToken" : null,
"status" : null,
"created" : null,
"lastUpdated" : ISODate("2019-08-28T12:15:07.808Z"),
"dateCreated" : ISODate("2018-08-27T08:00:02.595Z"),
"source" : "web",
"isFromAPUrl" : false,
"personal" : {
"phone" : "9975891779",
"referralcode" : "",
"iccode" : "221930",
"isiccode" : "yes",
"referrerEmail" : "zohaibrulz#gmail.com",
"referrerName" : "Momin Zohaib Hasanali",
"residency" : {
"type" : "Indian",
"status" : "Status_Resident_Individual",
"nationality" : "Nationality_Indian",
"nationalityOther" : ""
},
"isNameFromIT" : true,
"name" : "RITESH RAJENDRA NAGPURE",
"birthdate" : {
"date" : "7",
"month" : "4",
"year" : "1993"
},
"previousPan" : "AJEPN0774B",
"previousDOB" : "07/04/1993",
"address" : {
"correspondence" : {
"line1" : "Flat No-404, G Wing, Sai Satyam Residency,",
"line2" : "Near Don Bosco School, Kalyan West, Opposite Raunak city, Kalyan, Thane",
"city" : "Kalyan",
"state" : "Maharashtra",
"pincode" : "421301",
"proof" : ""
},
"permanent" : {
"line1" : "Flat No-404, G Wing, Sai Satyam Residency,",
"line2" : "Near Don Bosco School, Kalyan West, Opposite Raunak city, Kalyan, Thane",
"city" : "Kalyan",
"state" : "Maharashtra",
"pincode" : "421301",
"proof" : "",
"proofOtherText" : ""
},
"sameAsCorrespondence" : true
},
"isaddressFromQR" : false,
"isaadhar" : false,
"iskra" : false,
"fatherOrSpouseName" : "RAJENDRA",
"ipvdetails" : {
"ipvrequire" : false,
"ipvstatus" : "done"
},
"aadharNumber" : "875847348082",
"mothername" : "SAVITA",
"gender" : "male",
"polexposed" : "no",
"maritalStatus" : "single",
"incomeType" : "annual",
"income" : "below_1L",
"occupation" : "Private Sector",
"tradingExperience" : "< 1 Year",
"promocode" : "CASHBACK",
"requireddoc" : {
"ispanrequire" : true,
"isuidrequire" : true,
"ischequerequire" : true,
"isphotorequire" : true,
"iscoraddressrequire" : false,
"issignaturerequire" : true,
"isaddressrequire" : false,
"isbankstatementrequire" : true,
"isoptionaldoc" : false
},
"uploadeddoc" : {
"ispan" : true,
"isuid" : true,
"isaddress" : false,
"isphoto" : true,
"iscoraddress" : false,
"ischeque" : true,
"issignature" : true,
"isoptionaldoc" : false,
"isbankstatement" : true,
"issignaturebmp" : true
},
"docname" : {
"uid" : "5b83af839bc195a7cfbabefb_uid.pdf",
"pan" : "5b83af839bc195a7cfbabefb_pan.jpg",
"photo" : "5b83af839bc195a7cfbabefb_photo.jpg",
"address" : "",
"coraddress" : "",
"cheque" : "5b83af839bc195a7cfbabefb_cheque.pdf",
"bankstatement" : "5b83af839bc195a7cfbabefb_bankstm.pdf",
"signature" : "5b83af839bc195a7cfbabefb_sign.jpg",
"other" : "",
"optionaldoc" : ""
},
"doctype" : {
"pan" : "pan",
"uid" : "uid",
"add" : "uid",
"cheque" : "bankstatement",
"bankstm" : "bankstatement",
"photo" : "photo"
},
"isaddressmodified" : true,
"isAllEsigned" : true,
"isEsignMerged" : true,
"iskycFile" : true,
"isKycEsigned" : true,
"isApplicationCompleted" : true,
"applicationStatus" : "completed",
"isPanVerified" : true,
"panStatus" : "E",
"panName" : "RITESH RAJENDRA NAGPURE",
"rejectionReasonList" : [],
"makerAssigned" : false,
"checkerAssigned" : true,
"checkerOfficer" : "robot",
"checkerTime" : ISODate("2019-05-29T11:30:33.004Z")
},
"txn" : {
"L1_L2" : ISODate("2018-08-27T11:06:35.251Z"),
"L1_L2_officer" : "prajakta.rane",
"L2_R" : ISODate("2018-08-27T10:43:19.063Z"),
"L2_R_officer" : "avilon.pereira",
"R_L1" : ISODate("2018-08-27T10:48:51.377Z"),
"L2_I" : ISODate("2018-08-27T11:43:12.718Z"),
"L2_I_officer" : "rajkumar.kesari",
"I_C" : ISODate("2018-08-27T12:58:52.343Z"),
"I_C_officer" : "suraj.pandey"
},
"sales" : {
"openStateOfficer" : "bhaskar.geera",
"aadhaar" : false,
"assignStep" : "registration",
"assignTo" : "bhaskar.geera",
"callTime" : "2018-08-27T11:35:15.446Z",
"calledMessage" : "Ringing",
"calledStatus" : "Ringing_Not_Picked",
"iscalled" : true,
"callCount" : 5
},
"utm_params" : {},
"landingPage" : "",
"suiteID" : "b9245931-a66f-3647-11b8-5b83af881208",
"_scopeMeta" : {},
"panPageVisited" : true,
"kra" : {
"pan" : "AJEPN0774B",
"dob" : "07/04/1993",
"name" : "",
"fatherOrSpouseName" : "",
"agency" : "",
"email" : "",
"mobile" : "",
"address" : {
"correspondence" : {
"line1" : "",
"line2" : "",
"city" : "",
"state" : "",
"pincode" : "",
"proof" : ""
},
"permanent" : {
"line1" : "",
"line2" : "",
"city" : "",
"state" : "",
"pincode" : "",
"proof" : ""
}
},
"gender" : "",
"maritalStatus" : "",
"appStatus" : "005",
"appUpdateStatus" : "005",
"authMode" : "0"
},
"aadhar" : {},
"overlayOpenData" : {
"showSegmentsOverlay" : false,
"showBrokerageOverlay" : false,
"showReviewOverlay" : true,
"showVerifyOverlay" : true
},
"currentStep" : "review/verify",
"namePageVisited" : true,
"options" : {
"BSE_EQ" : true,
"NSE_EQ" : true,
"BCD_FO" : false,
"NCD_FO" : true,
"NSE_FO" : true,
"MCX" : true,
"MF" : true
},
"pricingPlan" : "BASIC-D0",
"bank" : {
"primary" : {
"ifsc" : "SBIN0017460",
"name" : "STATE BANK OF INDIA",
"address" : "MADHUBAN TIRTHDHAM COMPLEX,SHOP NO 4,ADHARWADI ROAD,KALYAN WEST,DISTT.THANE.MAHARASHTRA 421301",
"branch" : "ADHARWADI ROAD BRANCH",
"city" : "THANE",
"state" : "MAHARASHTRA",
"country" : "INDIA",
"micr" : "",
"pincode" : "421301",
"type" : "savings",
"account" : "31527410599"
}
},
"kycSplitStart" : 63,
"kycDocsLength" : 4,
"eSignProperties" : {
"signername" : "Ritesh Rajendra Nagpure"
},
"formSubmittedDate" : ISODate("2018-08-27T10:48:51.377Z"),
"ucccode" : "177762",
"crmPaymentSynced" : true,
"passwordResetCode" : "",
"lastPaymentDate" : ISODate("2018-10-26T09:55:24.149Z"),
"registrationWorkflowId" : 0,
"currentWorkflowId" : 0,
"isPaymentFromLedger" : false,
"lastLoginDate" : ISODate("2019-08-28T12:14:58.569Z"),
"viewedPreSales" : true
}
I have written this query -
"collection": "user",
"aggregate": [
{
"$match": {
"$or" : [
{
"$and" : [
{"txn.I_C" : {"$exists": true}}, {"txn.I_C" : {"$gt" : {"$humanTime" :"2019-07-01"}}}]
},
{
"$and" : [
{"txn.L2_C" : {"$exists": true}}, {"txn.L2_C" : {"$gt" : {"$humanTime" :"2019-07-01"}}}]
}
]}
},
{ "$addFields" : {"date" :{"$cond": { "if": {"txn.I_C" : {"$exists" : true}}, "then": "txn.I_C", "else": "txn.L2_C"}}}},
{
"$project" : {
"_id" : 0,
"datePartDay": {
"$concat": [
{
"$substr": [
{
"$year": "$date"
},
0,
4
]
},
"-",
{
"$substr": [
{
"$month": "$date"
},
0,
2
]
},
"-",
{
"$substr": [
{
"$dayOfMonth": "$date"
},
0,
2
]
}
]
}
}
},
{
"$group": {
"_id": "$datePartDay",
"count": {
"$sum": 1
}
}
}
]
}

Answer 1

Try this way, please:
"collection": "user",
"aggregate": [
{
"$match": {
"$or" : [
{
"$and" : [
{"txn.I_C" : {"$exists": true}}, {"txn.I_C" : {"$gt" : {"$humanTime" :"2019-07-01"}}}]
},
{
"$and" : [
{"txn.L2_C" : {"$exists": true}}, {"txn.L2_C" : {"$gt" : {"$humanTime" :"2019-07-01"}}}]
}
]}
},
{ "$addFields" : {"date" :{"$cond": {"if": {"$ne" : ["$txn.I_C", undefined]}, "then": "$txn.I_C", "else": "$txn.L2_C"}}}},
{
"$project" : {
"_id" : 0,
"datePartDay": {
"$concat": [
{
"$substr": [
{
"$year": "$date"
},
0,
4
]
},
"-",
{
"$substr": [
{
"$month": "$date"
},
0,
2
]
},
"-",
{
"$substr": [
{
"$dayOfMonth": "$date"
},
0,
2
]
}
]
}
}
},
{
"$group": {
"_id": "$datePartDay",
"count": {
"$sum": 1
}
}
}
]
}