I am trying to search HazelcastJsonValue, data example for the same.
class A {
B[] listOfB;
}
class B {
int num;
String name;
}
'A' object is present in Hazelcast as HazelcastJsonValue and i want to create query which fetches all objects which contain B for which num = 10 and name = test
hazelcast query for array search using predicate
Predicate.equal("listOfB[any].name","test")
for above scenario query i can make using predicates
Predicate[] arrayOfPredicate = {Predicates.equal("listOfB[any].num",10)
,Predicates.equal("listOfB[any].name","test")};
Predicate p = Predicates.and(arrayOfPredicate);
System.out.println(p.toString()); // (listOfB[any].num=10 AND listOfB[any].name=test)
Example Data in hazelcast
[
{
"listOfB": [
{
"num": 10,
"name": "ab"
},
{
"num": 11,
"name": "test"
}
]
},
{
"listOfB": [
{
"num": 10,
"name": "test"
},
{
"num": 12,
"name": "xyz"
}
]
},
{
"listOfB": [
{
"num": 30,
"name": "abc"
}
]
}
]
Hazelcast query for same
(listOfB[any].num=10 AND listOfB[any].name=test)
But this is not giving desired results instead below result came
[
{
"listOfB": [
{
"num": 10,
"name": "ab"
},
{
"num": 11,
"name": "test"
}
]
},
{
"listOfB": [
{
"num": 10,
"name": "test"
},
{
"num": 12,
"name": "xyz"
}
]
}
]
Desired results are
{
"listOfB": [
{
"num": 10,
"name": "test"
},
{
"num": 12,
"name": "xyz"
}
]
}
How can i get desired results?
Both of the above should've been returned in your result set. Is this not the case? The fact that you're wanting any will return true for the above data. If you limited the filter to listOfB[0], then the 2nd will be returned but I'm sure your intention is to not limit to 1st item only.
Related
I am getting an object from the backend with the following structure:
"periods": [
{
"id": 12,
"schemes": [
{
"id": 123,
"parts": [
{
"id": 1234,
"facts": {
"id": 21,
"basis": {
"id": 12344,
"amount": 10
},
"factor": {
"id": 1234,
"prop": 12
}
},
"deduction": {
"id": 133
},
"date": "22-10-2022",
"years": 12
},
{... more parts}
]
},
{... more schemes}
]
},
{... more periods}
]
I am changing the data and sending it back via a PATCH. The payload expects the id, the period.id, and an object with the same structure as above but only with the changed fields.
One example is, that I am changing the field amount. Then I need to know which part, which scheme and which period I am changing the amount in. And the object I am sending back should look something like this (the date should always be included):
{
"id": 22,
"schemes": [
{
"id": 43,
"parts": [
{
"id": 32,
"facts": {
"id": 77,
"basis": {
"id": 232,
"amount": 134 // CHANGING THIS
}
},
"date": "22-10-2022",
},
{... more parts}
]
},
{... more schemes}
]
}
At the moment I am solving it by taking the whole object from the backend and filtering out the one with the id and date (using the lodash filter function) which matches the one that changed, then creating a new object with those and the changed fields. Here is a snippet from my function:
if (name === "basis") {
const [period]: Period[] = _.filter(periods, {
schemes: [
{
parts: [
{
facts: {
id: data?.facts?.id,
basis: {
id: data?.facts?.basis?.id,
},
},
date: data?.date,
},
],
},
],
});
request = {
id: period?.id,
schemes: [
{
id: 2,
parts: [
{
id: data?.id,
facts: {
id: data?.facts?.id,
basis: {
id: data?.facts?.basis?.id,
amount: data?.facts?.basis?.amount,
},
},
date: data?.date,
},
],
},
],
};
}
return request;
I have an array of the keys of the changed fields in the state. And also a part-object with all the data and not only the changed data. My question is how I can create an object with the structure as above but only with changed data dynamically and not manually like I am doing right now?
I am trying to parse out the values I need from this nested JSON data. I need to get from quotas is responders and I need to get from qualified is service_id, codes.
I tried first to get just the quotas but kept getting this error []': no implicit conversion of String into Integer
hash = JSON::parse(response.body)
hash.each do |data|
p data["quotas"]
end
Json data
{
"id": 14706,
"relationships" : [
{
"id": 538
}
]
"quotas": [
{
"id": 48894,
"name": "Test",
"responders": 6,
"qualified": [
{
"service_id": 12,
"codes": [
1,
2,
3,
6,
]
},
{
"service_id": 23,
"pre_codes": [
1,
2
]
}
]
}
]
}
I needed to convert your example into json. Then I could loop the quotas and output the values.
hash = JSON::parse(data.to_json)
hash['quotas'].each do |data|
p data["responders"]
data["qualified"].each do |responder|
p responder['service_id']
p responder['codes']
end
end
Hash in data variable (needed for the sample code to work):
require "json"
data = {
"id": 14706,
"relationships": [
{
"id": 538
}
],
"quotas": [
{
"id": 48894,
"name": "Test",
"responders": 6,
"qualified": [
{
"service_id": 12,
"codes": [
1,
2,
3,
6,
]
},
{
"service_id": 23,
"pre_codes": [
1,
2
]
}
]
}
]
}
Suppose I have the following payload with nested array, how do I combine the array inside the nested array for the same externalId as well as some logic on certain field like
shipQty - this field will be sum or add up for records with the same externalId under fillingOrder
serialNumbers - all the records under serialNumbers will be display together if the externalId is same
Kindly refer below for the input and expected output
Json Payload Input
{
"Identifier": "9i098p-898j-67586k",
"transactionDate": "2019-09-08T10:01:00-04:00",
"order": [
{
"orderNumber": "123456789",
"CourierOrderId": "1300-88-2525",
"fillingOrder": [
{
"numberOfBoxes": 0,
"tracking": [
{
"carrier": "Orange",
"trackNum": "3333444",
"trackUrl": "https://www.orange.com/track/status",
"shipDate": "2019-09-08T10:01:00-04:00",
"SerialNumber": "00000123"
}
],
"row": [
{
"externalId": "1",
"unitNo": "OP04-123456-789",
"shipQty": 2,
"serialNumbers": [
{
"serialNumber": "USD333555",
"quantity": 1
},
{
"serialNumber": "USD235678",
"quantity": 1
}
]
}
]
},
{
"tracking": [
{
"carrier": "Apple",
"trackNum": "555666",
"trackUrl": "https://www.apple.com/track/status",
"shipDate": "2019-09-08T10:01:00-04:00",
"SerialNumber": "00000645"
}
],
"row": [
{
"externalId": "1",
"unitNo": "OP04-123456-789",
"shipQty": 3,
"serialNumbers": [
{
"serialNumber": "USD123456",
"quantity": 1
},
{
"serialNumber": "USD98765",
"quantity": 1
},
{
"serialNumber": "USD45689",
"quantity": 1
}
]
}
]
},
{
"tracking": [
{
"carrier": "banana",
"trackNum": "587390",
"trackUrl": "https://www.banana.com/track/status",
"shipDate": "2019-09-08T10:01:00-04:00",
"SerialNumber": "00000365"
}
],
"row": [
{
"externalId": "2",
"unitNo": "OP05-123456-111",
"shipQty": 2,
"serialNumbers": [
{
"serialNumber": "USD00045",
"quantity": 1
},
{
"serialNumber": "USD00046",
"quantity": 1
}
]
}
]
}
]
}
]
}
Expected Json Output
{
"row": [
{
"externalId": "1",
"unitNo": "OP04-123456-789",
"shipQty": 5, //the shipQty should be add up when the externalId is same
"serialNumbers": [ //the serialNumbers should display all the data inside the serialNumbers when the externalId is same
{
"serialNumber": "USD333555",
"quantity": 1
},
{
"serialNumber": "USD235678",
"quantity": 1
},
{
"serialNumber": "USD123456",
"quantity": 1
},
{
"serialNumber": "USD98765",
"quantity": 1
},
{
"serialNumber": "USD45689",
"quantity": 1
}
]
},
{
"externalId": "2",
"unitNo": "OP05-123456-111",
"shipQty": 2,
"serialNumbers": [
{
"serialNumber": "USD00045",
"quantity": 1
},
{
"serialNumber": "USD00046",
"quantity": 1
}
}
]
}
It looks like you only need the data of "row" inside the fillingOrder field of your payload. So first thing to simplicy the problem is to get all the rows as a single array. Once you have that them you just need to group that by external id and the problem will start to look smaller.
%dw 2.0
output application/json
//First get all rows since it looks like you only need them.
//If you find this confusing try to use flatten with some simpler payloads.
var allRows = flatten(flatten(payload.order.fillingOrder).row)
//Group them according to external id.
var groupedExtId = allRows groupBy $.externalId
---
{
row: groupedExtId pluck ((value, extId, index) -> do {
var sumShipQuant = sum(value.shipQty default [])
---
{
externalId: (extId), //the key after grouping is external id
unitNo: value.unitNo[0], //assuming it is same across diff external id
shipQty: sumShipQuant,
serialNumbers: flatten(value.serialNumbers) //Flatten because value is an array and it has multiple serielNumbers array
}
})
}
This should help. I took some inspiration from Harshank Bansal post
%dw 2.0
output application/json
var groupFlat = flatten(flatten (payload.order.fillingOrder).row) groupBy ($.externalId)
---
row: [groupFlat mapObject ((value, key, index) -> {
externalId: value.externalId[0],
unitNO: value.unitNo[0],
shipQty: sum(value.shipQty),
serialNumbers: flatten(value.serialNumbers)
})]
Try this:
%dw 2.0
output application/json
---
row:[ if (payload..order..row..externalId[0] == payload..order..row..externalId[1]) {
externalId : payload..order..row..externalId[0],
unitNo: payload..order..row..unitNo[0],
shipQty: payload..order..row..shipQty[0] + payload..order..row..shipQty[1],
serialNumbers: flatten (payload..order..row..serialNumbers)
}
else null]
I'm using Nodejs with Mongoose package.
Given I've something like this:-
let people = [
{
"_id": 1,
"name": "Person 1",
"pets": [
{
"_id": 1,
"name": "Tom",
"category": "cat"
},
{
"_id": 2,
"name": "Jerry",
"category": "mouse"
}
]
}
]
I want to get only the data of Jerry in pets array using it's _id (result shown below)
{
"_id": 2,
"name": "Jerry",
"category": "mouse"
}
Can I get it without needing to specify the _id of person 1 when using $elemMatch? Right now I code like this:-
const pet = People.find(
{ "_id": "1"}, // specifying 'person 1 _id' first
{ pets: { $elemMatch: { _id: 2 } } } // using 'elemMatch' to get 'pet' with '_id' of '2'
)
And it gave me what I want like I've shown you above. But is there any other way I can do this without needing to specify the _id of it's parent first (in this case, the _id of the people array)
Assuming nested array's _id's are unique you can filter by nested array elements directly:
const pet = People.find(
{ "pets._id": 2 },
{ pets: { $elemMatch: { _id: 2 } } }
)
I have a collection C1 which looks like this (simplified):
[
// ID and other irrelevant fields omitted
{
"name": "A",
"related": "Y",
"special": "foo",
"created" : ISODate("2020-02-07T19:36:52.757+02:00")
},
{
"name": "B",
"related": "Z",
"special": "bar",
"created" : ISODate("2020-02-07T19:36:52.757-06:00")
},
{
"name": "C",
"related": "X",
"special": "baz",
"created" : ISODate("2020-02-07T19:36:52.757+01:00")
},
{
"name": "D",
"related": "Z",
"special": "quux",
"created" : ISODate("2020-02-07T19:36:52.757+01:00")
},
// ...more records omitted...
]
And a collection C2 which looks like this (again, simplified):
[
// ID and other irrelevant fields omitted
{
"name": "X",
"total": 500
},
{
"name": "Y",
"total": 200
},
{
"name": "Z",
"total": 10
},
// ...more records omitted...
]
How can I, in a single query, retrieve a filtered set of records in C1 (e.g. { "special": "foo" }) with each record having a field c2 containing the matching records from C2 (C1.related being equal to C2.name) in addition to:
a field lowCount being the count of all matching records from C2 where { total: { $lte: 100 } }
a field midCount being the count of all matching records from C2 where { total: { $lte: 500, $gt: 100 } }
a field highCount being the count of all matching records from C2 where { total: { $gt: 500 } }
I realize that the database structure is awkward for what needs to be done, but I came in long after that was finalized and it can’t be overhauled at this point. The actual code is written in Java using Spring.
You need to use MongoDb aggregation.
db.c1.aggregate([
{
$match: {
"special": "foo"
}
},
{
$lookup: {
from: "c2",
localField: "related",
foreignField: "name",
as: "c2"
}
},
{
$addFields: {
lowCount: {
$size: {
$filter: {
input: "$c2",
cond: {
$lte: [
"$$this.total",
100
]
}
}
}
},
midCount: {
$size: {
$filter: {
input: "$c2",
cond: {
$lte: [
"$$this.total",
500
]
}
}
}
},
highCount: {
$size: {
$filter: {
input: "$c2",
cond: {
$gte: [
"$$this.total",
500
]
}
}
}
}
}
}
])
MongoPlayground
Spring Data allows to aggregate with MongoTemplate class (implements MongoOperations). Take a look how to transform this pipeline into Spring syntax here