Need to check null and empty array in Dataweave using filter or any other logic.
First check the parentId is null, we need to skip the particular JSON. If parentId is not null need to check the mobileContacts or emailContacts
have the array of values. If mobileContacts and emailContacts have empty List we need skip the particular JSON values. If any one have the value we need to process the records.
Input JSON:
{
"name": "XYZ",
"age": 23,
"results": [
{
"parentId": "12345",
"notes": "proceed",
"mobileContacts": [
{
"relationId": "12345",
"callId": "3456213"
},
{
"relationId": "12345",
"callId": "12345"
}
],
"emailContacts": [ ],
"initial": true
},
{
"parentId": "435638",
"notes": "proceed",
"mobileContacts": [ ],
"emailContacts": [ ],
"initial": true
},
{
"parentId": null,
"notes": "proceed",
"mobileContacts": [
{
"relationId": "12345",
"callId": "3456213"
},
{
"relationId": "12345",
"callId": "12345"
}
],
"emailContacts": [ ],
"initial": true
}
]
}
Need below Output:
{
"name": "XYZ",
"age": 23,
"results": [
{
"parentId": "12345",
"notes": "proceed",
"mobileContacts": [
{
"relationId": "12345",
"callId": "3456213"
},
{
"relationId": null,
"callId": null
}
],
"initial": true
}
]
}
How about this,
%dw 1.0
%output application/json
---
{
name: payload.name,
age: payload.age,
results: payload.results filter ($.parentId != null and ((sizeOf $.mobileContacts) > 0 or (sizeOf $.emailContacts) > 0))
}
Related
I have document as shown
[
{
"Users": [
{
"Name": "Kartikey Vaish",
"_id": "1",
},
{
"Name": "Witcher Proxima",
"_id": "2",
}
],
"_id": "12",
},
{
"Users": [
{
"Name": "Witcher Proxima",
"_id": "2",
},
{
"Name": "Saga",
"_id": "4",
}
],
"_id": "13",
}
]
I want to search for those documents whose Users array has that particular ID
For Example if
ID == 1 // should return
[
{
"Users": [
{
"Name": "Kartikey Vaish",
"_id": "1",
},
{
"Name": "Witcher Proxima",
"_id": "2",
}
],
"_id": "12",
}
]
ID == 2 // should return
[
{
"Users": [
{
"Name": "Kartikey Vaish",
"_id": "1",
},
{
"Name": "Witcher Proxima",
"_id": "2",
}
],
"_id": "12",
},
{
"Users": [
{
"Name": "Witcher Proxima",
"_id": "2",
},
{
"Name": "Saga",
"_id": "4",
}
],
"_id": "13",
}
]
ID == 4 // should return
[
{
"Users": [
{
"Name": "Kartikey Vaish",
"_id": "1",
},
{
"Name": "Saga",
"_id": "4",
}
],
"_id": "13",
}
]
As you can see from above my query should return only those objects whose "Users" array contains an object with given ID. I tried this but it doesn't work.
const chats = await Chats.find({
Users: { $elemMatch: { _id: "1" } },
});
// this returns an empty array
const chats = await Chats.find({
Users: { $elemMatch: { Name: "Kartikey Vaish" } },
});
// this returns
[
{
"Users": [
{
"Name": "Kartikey Vaish",
"_id": "1",
},
{
"Name": "Witcher Proxima",
"_id": "2",
}
],
"_id": "12",
}
]
What am I doing wrong here?
Is it something related to _id paramter?
EDIT:
My Chats Schema looks like this -
const Chats = mongoose.model(
"Chats",
new mongoose.Schema({
Users: {
type: Array,
required: true,
default: [],
},
})
);
Update your schema as shown below
const Chats = mongoose.model(
"Chats",
new mongoose.Schema({
Users: [{
_id: {
type: String,
required: true, // Include only if needed!
unique: true // Include only if needed!
},
Name: {
type: String,
index: true // Include only if needed!
}
}]
})
);
If you do not explicitly mention _id MongoDB will create _id field as ObjectId.
I got question might be many of you can help me.
so I have data on mongodb.
first data
{
"name" : 'david'
contacts : [
{
"name" : 'john',
"phone" : '123456'
},
{
"name" : 'george',
"phone" : '0987654'
}
]
}
second data
{
"name" : 'anita',
"contacts" : [
{
"name" : 'harry',
"phone" : '123456'
},
{
"name" : 'kurita',
"phone" : '323434'
}
]
}
the problem is,
can I query to find data that have duplicate contacts.phone.
so the result whill show like this.
{
"name" : 'david',
"contacts" : [
{
"name" : 'john',
"phone" : '123456'
}
]
}
{
"name" : 'anita',
"contacts" : [
{
"name" : 'harry',
"phone" : '123456'
}
]
}
data john and anita will show because they have similar data on contacts.phone
sorry for my english btw,
I hope you all understand what I mean.
thank you so much
There are a few steps involved to get the results you need.
We are going to write an aggregate pipeline to get the work done.
First you need to unwind your array values with the following:
{
$unwind: "$contacts"
}
Doc: https://docs.mongodb.com/manual/reference/operator/aggregation/unwind/
This would result into:
[
{
"_id": ObjectId("5a934e000102030405000000"),
"contacts": {
"name": "john",
"phone": "123456"
},
"name": "david"
},
{
"_id": ObjectId("5a934e000102030405000000"),
"contacts": {
"name": "george",
"phone": "0987654"
},
"name": "david"
},
{
"_id": ObjectId("5a934e000102030405000001"),
"contacts": {
"name": "harry",
"phone": "123456"
},
"name": "anita"
},
{
"_id": ObjectId("5a934e000102030405000001"),
"contacts": {
"name": "kurita",
"phone": "323434"
},
"name": "anita"
}
]
This would be much easier for us to group by field.
Doc: https://docs.mongodb.com/manual/reference/operator/aggregation/group/
{
$group: {
_id: {
phone: "$contacts.phone"
},
name: {
$addToSet: "$name"
},
contacts: {
$addToSet: "$contacts.name"
},
count: {
$sum: 1
}
}
}
That gives the following output:
[
{
"_id": {
"phone": "323434"
},
"contacts": [
"kurita"
],
"count": 1,
"name": [
"anita"
]
},
{
"_id": {
"phone": "123456"
},
"contacts": [
"john",
"harry"
],
"count": 2,
"name": [
"david",
"anita"
]
},
{
"_id": {
"phone": "0987654"
},
"contacts": [
"george"
],
"count": 1,
"name": [
"david"
]
}
]
Based on the output we need to match the count greater then 1 like:
Doc: https://docs.mongodb.com/manual/reference/operator/aggregation/match/
{
$match: {
count: {
"$gt": 1
}
}
}
Result is:
[
{
"_id": {
"phone": "123456"
},
"contacts": [
"john",
"harry"
],
"count": 2,
"name": [
"david",
"anita"
]
}
]
The query would look like:
Doc: https://docs.mongodb.com/manual/reference/operator/aggregation-pipeline/
db.collection.aggregate([
{
$unwind: "$contacts"
},
{
$group: {
_id: {
phone: "$contacts.phone"
},
name: {
$addToSet: "$name"
},
contacts: {
$addToSet: "$contacts.name"
},
count: {
$sum: 1
}
}
},
{
$match: {
count: {
"$gt": 1
}
}
}
])
MongoPlayground: https://mongoplayground.net/p/qSvhcYyAcQO
I hope this gives you a small idea what is possible with the aggregation pipeline.
Update / fix
According to your requirements you wish to have 2 objects foreach name that has duplicate contacts then you could use unwind again after the match.
[
{
"_id": {
"phone": "123456"
},
"contacts": [
"harry",
"john"
],
"count": 2,
"name": "david"
},
{
"_id": {
"phone": "123456"
},
"contacts": [
"harry",
"john"
],
"count": 2,
"name": "anita"
}
]
Cheers, Kevin
I´m importing a JSON-Datasource in Denodo which contains 2 arrays. In order to work with the data i flatten those arrays. However when delivering the data I want to get back to the initial array structure to get something like
{
"name": "name_of_my_view",
"elements": [
{
"result": [
{
"id": 40033495,
"first_name": Max,
"last_name": Mustermann
},
{
"id": 39960791,
"first_name": "Markus",
"last_name": "Markwart"
}
],
"took_ms": 4,
"result_count": 323,
"errors": [
{}
]
}
],
"links": [
{
"rel": "self",
"href": "https://address"
}
]
}
I have flattend both arrays (result, errors) in order to edit the respective fealds within them. However i only see the option of using UNION to combine them. If i do so I end up having all fealds in one hierarchy like (Ignore the sorting in this example) Oh and note that "code" and "description" are within the "error" array and are not shown in the above example because there are no errors in it:
{
"name": "name_of_my_view",
"elements": [
{
"took_ms": 4,
"result_count": 323,
"code": null,
"description": null,
"id": null,
"first_name": null,
"last_name": null
},
{
"took_ms": 4,
"result_count": 323,
"code": null,
"description": null,
"id": 40033495,
"first_name": null,
"last_name": null
}
],
"links": [
{
"rel": "self",
"href": "https://address"
}
]
}
I have a problem pointing dataTable to the right spot in the JSON. I receive a nested array:
{
"status": "ok",
"count": "7",
"msg ": "Operation Successful",
"data": [{
"contactHasServiceArea": true,
"issueCategories": [{
"id": "8",
"description": "Finance"
},
{
"id": "9",
"description": "Housing"
},
{
"id": "10",
"description": "International"
}
],
"cases": [{
"id": 31645,
"client_name": "Matthew",
"issue": "Assessment Completion",
"referral": null,
"opened_date": "10\/07\/2017",
"case_status": "Open"
}, {
"id": 31668,
"client_name": "Fanky ",
"issue": "Complex",
"referral": null,
"opened_date": "01\/07\/2017",
"case_status": "Open"
}]
}]
}
How do I point to the "cases" object? I'm sure this is simply, but I'm confused by the many options in the dataTables config.
I tried variations of data, dataSrc as well as data.cases or just cases, etc.
Thanks
$('#cases_table').DataTable( {
"ajax": "ajax/getCases",
"dataSrc" : "data.cases",
"data" : "cases",
"columns": [
{ "data": "client_name" },
{ "data": "issue" },
{ "data": "referral" },
{ "data": "opened_date" },
{ "data": "case_status" }
]
} );
You can configure like this:
$('#cases_table').DataTable( {
"ajax": {
"url": "ajax/getCases",
"dataSrc" : "data.cases"
},
"columns": [
{ "data": "client_name" },
{ "data": "issue" },
{ "data": "referral" },
{ "data": "opened_date" },
{ "data": "case_status" }
]
} );
datasrc points into the returns json. Remove the data option.
I have a DB structure as follows:
{
"Title": "AAA",
"Photos": ["/aaa/aaa.png"],
"Loc": "XXX",
"Emp": "SSS",
"Rate": [{
"Rating": 2,
"RateID": "12345654654",
"RatedDate": new Date()
}],
"Fav": [{
"FavValue": 2,
"FavID": "1111",
"FavDate": new Date()
}]
}
Here, I want to fetch all the details by default. But from array, i need to get the object that matches the ID.
In "Rate" array it needs to match "RateID" and in "Fav" array it need to match "FavID".
Both "Rate" and "Fav" wont contains objects always.
I have tried foll mongoose aggregate:
ss.aggregate([
{ $unwind: "$Rate" },
{
$group: {
"_id": '$_id',
"Title": { "$first": "$Title" },
"Loc": { "$first": "$Loc" },
"Emp": { "$first": "$Emp" },
"Photos": { "$first": "$Photos" },
"Rate": { $max: { $cond: [ { $eq: [ "$Rate.RateID", new ObjectId(id) ] }, '$Rate.Rating', null ] } },
"Fav": { $max: { $cond : [ { $eq : [{ "$size": "$Fav" }, 0]}, null, { $cond: [ { $eq: [ "$Fav.FavID", new ObjectId(id) ] }, '$Fav.FavValue', null ] } ]} }
}
}
], function (err, AvgResult) {
res.json({"result": AvgResult});
});
For "Rate", if the array is empty it returns empty result as {}
For "Fav", it returns null always if the array is empty or if it contains object
If I send the ID as '12345654654', the result should be like
{
"Title": "AAA",
"Photos": ["/aaa/aaa.png"],
"Loc": "XXX",
"Emp": "SSS",
"Rate": 2,
"Fav": null
}
If the ID is "1111", the result should be
{
"Title": "AAA",
"Photos": ["/aaa/aaa.png"],
"Loc": "XXX",
"Emp": "SSS",
"Rate": null,
"Fav": 2
}
If "Fav" is empty array in DB like "Fav": [] and ID - is "12345654654", then the result should be as follows
{
"Title": "AAA",
"Photos": ["/aaa/aaa.png"],
"Loc": "XXX",
"Emp": "SSS",
"Rate": 2,
"Fav": null
}
can any one help to get the expected result in all the above scenario..