mongodb select all fields which is not null or empty string - mongodb

Question

I have mongodb document which has data like this:
{
"_id": "ObjectId(\"5e09db41d4ccee7f500f7326\")",
"time": "ISODate(\"2019-12-30T09:10:53Z\")",
"syslog_fac": 23,
"syslog_sever": 6,
"syslog_tag": "",
"procid": "",
"pid": "-",
"status": "Allowed",
"logtype": "Firewall Logs",
"date": "2019-12-30",
"Module": "01UM",
"Desc": "Theuserloggedout.(UserName",
"Severity_Level": "6",
"Vsys": "public",
"SourceIP": "10.10.0.57",
"ParentGroup": "/netgrup.com.tr",
"LogonTime": "2019/12/3014:07:20",
"LogoutTime": "2019/12/3014:10:53",
"ObversePackets": "0",
"ObverseBytes": "0",
"ReversePackets": "0",
"ReverseBytes": "0",
"LogoutReason": "AnIPaddressconflictoccurred",
"VSys": "",
"PolicyName": "",
"Country": "",
"DestinationIP": "",
"SourcePort": "",
"DestinationPort": "",
"SourceZone": "",
"DestinationZone": "",
"User": "",
"Protocol": "",
"ApplicationName": "",
"Profile": "",
"Type": "",
"Category": "",
"SubCategory": "",
"Page": "",
"Host": "",
"Referer": "",
"Item": "",
"Action": "",
"level": "",
"SourceNatIP": "",
"SourceNatPort": "",
"BeginTime": "",
"EndTime": "",
"SendPkts": 0,
"SendBytes": 0,
"RcvPkts": 0,
"RcvBytes": 0,
"SourceVpnID": "",
"DestinationVpnID": "",
"CloseReason": "",
"Task": "",
"Ip": "",
"VpnName": "",
"AuthenticationMethod": "",
"Command": "",
"user-name": "",
"attack-type": "",
"interface": "",
"packet-count": "",
"rate-number": "",
"file-name": "",
"file-type": "",
"direction": "",
"detect-type": "",
"virus-name": "",
"signature-id": "",
"event-number": "",
"target": "",
"role": "",
"user": ""
}
As you see there are a lot of fields which have an empty string or 0 , so what I want to do is to select only columns that have value except 0 or empty string.
this is my code that I am using to execute query from laravel but return nothings , when I apply that code in mongo directly I get correct data , and return exactly what I want , but return nothings from laravel ,
$data = Logss::raw(function($collection)use ($_id)
{
return $collection->aggregate([
[ '$match' => ['_id'=>'ObjectId(5e09dc63715d622be622c639)']],
[
'$replaceRoot'=> [
'newRoot'=>[
'$arrayToObject'=>[
'$filter'=> [
'input'=> [ '$objectToArray'=>'$$ROOT' ],
'cond'=> [
'$and'=> [
[ '$ne'=> [ '$$this.v', "" ] ],
[ '$ne'=>[ '$$this.v', 0 ] ]
]
]
]
]
]
]
]
]);
});

Answer 1

You can run below query:
db.collection.aggregate([
{ $match: { _id: ObjectId(...) } },
{
$replaceRoot: {
newRoot: {
$arrayToObject: {
$filter: {
input: { $objectToArray: "$$ROOT" },
cond: {
$and: [
{ $ne: [ "$$this.v", "" ] },
{ $ne: [ "$$this.v", 0 ] }
]
}
}
}
}
}
}
])
The idea is pretty simple: you start with $objectToArray to get all the fields as an array. Then you can run $filter to remove all zeros and whitespaces and convert that array back to an object $arrayToObject promoting it to the root level ($replaceRoot).
Mongo Playground