I've a document of type:
{...
"array1": [
{
"id": "id1",
"value": "v1"
},
{
"id": "id2",
"value": "v2"
}
],
"array2": [
{
"id": "id-1",
"value": "value1"
},
{
"id": "id-2",
"value": "value2"
}
]
}
to get only the value that matches my conditions from the array1 and array2 in js we can do this,
db.mydb.find({...},{ _id: 0, "array1" : {$elemMatch: {"id" :"id1"}},"array2" : {$elemMatch: {"id" :"id-2"}}})
but I wonder how to do the same thing in Spring boot
my expected answer :
{
"array1": [
{
"id": "id1",
"value": "v1"
}
],
"array2": [
{
"id": "id-2",
"value": "value2"
}
]
}
Related
I am using Java to perform queries on Elasticsearch, via the ElasticSearchClient. As there are big variables returned, I would like to only retrieve the ones that are relevant but the variables in _source are nested.
Below is a sample index response (multiple indexes can be returned with same _source structure)
[
{
"_index": "kn-tas-20200630",
"_type": "_doc",
"_id": "1122334455",
"_score": null,
"_source": {
"variables": [
{
"rawValue": "DEFH",
"name": "MANAGER"
},
{
"rawValue": "ABCD",
"name": "EMPLOYEE"
},
{
"rawValue": "[{\"rowId\":102030,\"rowType\":\"SIM\"}]",
"name": "extData"
}
]
},
"sort": [
1665735632119
]
}
]
I would like to create a query using SearchSourceBuilder to query ES and only retrieve the following:
Get the rawValue by name (I provide Manager, I get "DFEH")
Get the rowType value (I provide extData + row Type, I get "SIM")
Below is my query:
{
"from": 0,
"size": 100,
"query": {
"bool": {
"must": [
{
"terms": {
"prcKey": [
"K-112"
],
"boost": 1.0
}
}
],
"must_not": [
{
"exists": {
"field": "endDate",
"boost": 1.0
}
},
{
"term": {
"personInCharge": {
"value": "ABC",
"boost": 1.0
}
}
}
],
"adjust_pure_negative": true,
"boost": 1.0
}
},
"_source": {
"includes": [
"variables.name",
"variables.rawValue"
],
"excludes": []
},
"sort": [
{
"createTime": {
"order": "desc"
}
}
]
}
How can I fix my query? I tried using nested queries but without any luck.
db={
"dashboard": [
{
"_id": "dashboard1",
"name": "test",
"user": 1
}
],
"templatefolders": [
{
"dashboardId": "dashboard1",
"folderId": "folder123",
"name": "folder",
"region": "XXX"
}
],
"folders": [
{
"_id": "folder123"
}
],
"user": [
{
"_id": 1,
"name": "alaa"
}
],
}
this is my function:
db.dashboard.aggregate([
{
"$lookup": {
"from": "templatefolders",
"localField": "_id",
"foreignField": "dashboardId",
"as": "joinDashboard"
}
},
{
"$lookup": {
"from": "folders",
"localField": "joinDashboard.folderId",
"foreignField": "_id",
"as": "joinDashboard.joinFolder"
}
},
])
Result :
[
{
"_id": "dashboard1",
"joinDashboard": {
"joinFolder": [
{
"_id": "folder123"
}
]
},
"name": "test",
"user": 1
}
]
[![enter image description here][1]][1]
Why the fields name and region in collection templatefolders are excluded ?
I want to know why this behavior ? I don't like to use unwind because i have multiple collections with multiple refrence relation.
Your second $lookup, is overriding the joinDashboard key completely. Since you want joinFolder to be within joinDashboard, you can try nested lookups like this:
db.dashboard.aggregate([
{
$lookup: {
from: "templatefolders",
let: {
"boardId": "$_id"
},
pipeline: [
{
$match: {
$expr: {
$eq: [
"$dashboardId",
"$$boardId"
]
}
}
},
{
$lookup: {
from: "folders",
let: {
"folderId": "$folderId"
},
pipeline: [
{
$match: {
$expr: {
$eq: [
"$_id",
"$$folderId"
]
}
}
},
],
as: "joinFolder"
},
},
],
as: "joinDashboard"
}
}
])
MongoPlayground link.
I have to send request body as org.hl7.fhir.r4.model.CoverageEligibilityRequest which is contained Patient, Practitioner, Organization as below. This API will return Bundle response. I am using Java and Generic client from Hapi Fire library. There is provision to pass search parameter but the here I am having multilevel hierarchy of resource and input is big than usual. Can any one help me to handle this request in FHIR API.
Request Body as below,
{
"resourceType": "CoverageEligibilityRequest",
"contained": [
{
"resourceType": "Patient",
"id": "1",
"name": [
{
"family": "abcFamily",
"given": [
"abcGiven"
]
}
],
"birthDate": "1962-08-06"
},
{
"resourceType": "Practitioner",
"id": "2",
"identifier": [
{
"type": {
"coding": [
{
"code": "NPI"
}
]
},
"value": "123456789"
}
],
"name": [
{
"family": "pqrFamily",
"given": [
"pqrGiven"
]
}
]
},
{
"resourceType": "Organization",
"id": "3",
"identifier": [
{
"value": "12345"
}
],
"name": ""
},
{
"resourceType": "Coverage",
"id": "3",
"status": "active",
"subscriberId": "",
"class": [
{
"type": {
"coding": [
{
"code": "group"
}
]
},
"value": ""
}
]
}
],
"extension": [
{
"url": "searchOption",
"valueString": "NameDateOfBirth"
}
],
"status": "active",
"purpose": [
"benefits"
],
"patient": {
"reference": "#1"
},
"provider": {
"reference": "#2"
},
"insurer": {
"reference": "#3"
}
}
I have a collection down below. I am trying to update an array element.
I am trying to update if lineItem _id value is 1 then go to spec list and update characteristicsValue from 900 to 50 if specName is "Model", as you can see, _id is also an array.
collection data:
{
"_id": "100",
"name": "Campaign",
"status": "Active",
"parts": {
"lineItem": [
{
"_id": [
{
"name": "A",
"value": "1"
}
],
"spec": [
{
"specName": "Brand",
"characteristicsValue": [
{
"value": "500"
}
]
},
{
"specName": "Model",
"characteristicsValue": [
{
"value": "900"
}
]
}
]
},
{
"_id": [
{
"name": "B",
"value": "2"
}
],
"spec": [
{
"specName": "Brand",
"characteristicsValue": [
{
"value": "300"
}
]
},
{
"specName": "Model",
"characteristicsValue": [
{
"value": "150"
}
]
}
]
},
{
"_id": [
{
"name": "C",
"value": "2"
}
]
}
]
}
}
related update doesnt work as I expected.
db.Collection.update({"parts.lineItem._id.value" : "1",
"parts.lineItem.spec.specName" : "Model" },{ $set: {
"parts.lineItem.spec.$.characteristicsValue" : "50" } })
EDIT:
Every _id has a spec array. so, we need to find _id and then go to spec under _id array, find the brand and update the value.
Try this way:
db.Collection.update(
{},
{ $set: { "parts.lineItem.$[outer].spec.$[inner].characteristicsValue" : "50" } },
{ multi: true, arrayFilters: [{"outer._id.value" : "1"}, {"inner.specName" : "Model"}]}
);
The list below contains a collection of id's
List id_wanted = ['3894586', '2786438236', '895673985']
Given the list above, How do I remove elements from the JSON below that match with the id above List?
JSON:
{
"animals": [
{
"name": "lion",
"countries": [
{
"name": "kenya",
"facts": [
{
"features": [
"young male"
],
"age": "2y",
"id": "2837492"
}
]
},
{
"name": "tanzania",
"facts": [
{
"features": [
"cub"
],
"age": "0y",
"id": "3894586"
}
]
},
{
"name": "south africa",
"facts": [
{
"features": [
"adult lioness"
],
"age": "10y",
"id": "495684576"
},
{
"features": [
"young female"
],
"age": "4y",
"id": "2786438236"
}
]
}
]
},
{
"name": "giraffe",
"countries": [
{
"name": "zambia",
"facts": [
{
"features": [
"ex captivity"
],
"age": "20y",
"id": "343453509"
}
]
},
{
"name": "kenya",
"facts": [
{
"features": [
"male"
],
"age": "17y",
"id": "85604586"
}
]
},
{
"name": "uganda",
"facts": [
{
"features": [
"young female"
],
"age": "4y",
"id": "895673985"
},
{
"features": [
"none"
],
"age": "11y",
"id": "39860394758936764"
}
]
}
]
}
]
}
For example, the following block would be removed from the JSON above because id matches with the List id_wanted
{
"features": [
"young female"
],
"age": "4y",
"id": "2786438236"
}
Assuming your json is a String in a variable inputJson, it's probably easier to build a new Json document from the original with those values filtered out:
import groovy.json.*
def json = new JsonSlurper().parseText(inputJson)
List id_wanted = ['3894586', '2786438236', '895673985']
def result = new JsonBuilder([
animals: json.animals.collect {[
name: "$it.name",
countries: it.countries.collect { [
name: "$it.name",
facts: it.facts.findAll { !(it.id in id_wanted) }
]}
]}
]).toString()
You can parse your original json and modify the resulted data structure in-place using handy *. spread operator:
def json = slurper.parseText(original)
json.animals*.countries*.facts*.each { facts ->
facts.removeAll { fact -> fact.id in id_wanted }
}
def filtered = new JsonBuilder(json).toPrettyString()
println(filtered)
Output (with facts from id_wanted removed):
{
"animals": [
{
"name": "lion",
"countries": [
{
"name": "kenya",
"facts": [
{
"features": [
"young male"
],
"age": "2y",
"id": "2837492"
}
]
},
{
"name": "tanzania",
"facts": [
]
},
{
"name": "south africa",
"facts": [
{
"features": [
"adult lioness"
],
"age": "10y",
"id": "495684576"
}
]
}
]
},
{
"name": "giraffe",
"countries": [
{
"name": "zambia",
"facts": [
{
"features": [
"ex captivity"
],
"age": "20y",
"id": "343453509"
}
]
},
{
"name": "kenya",
"facts": [
{
"features": [
"male"
],
"age": "17y",
"id": "85604586"
}
]
},
{
"name": "uganda",
"facts": [
{
"features": [
"none"
],
"age": "11y",
"id": "39860394758936764"
}
]
}
]
}
]
}