Here is MongoDB scheme.
{
"_id" : ObjectId("222222"),
"active" : false,
"amount" : "15%",
"description" : "15% discount",
"name" : "20200628-test",
"policies" : {
"apply" : [
{
"name" : "expiryDate",
"params" : {
"date" : ISODate("2020-07-06T14:59:59.999Z")
}
},
{
"name" : "isApplyCategoryExist"
}
],
"discount" : [],
"conflict" : [
{
"name" : "exclusive"
}
],
"grant" : []
},
"target" : {
"sku" : "",
"products_ids" : [],
"category_ids" : [
ObjectId("11111111")
]
},
"title" : "15% coupon"
}
I want to access date.
For example, "policies.apply.params.date"...
I don't know how to access 'date' to Javascript.
Please let me know...
apply is an array, so you have to give it index which you want to get.
var num = 0; // pick up an array number you want
var date = policies.apply[num].params.date;
Your policies.apply is an array so if you want to access "2020-07-06T14:59:59.999Z", you should do this:
policies.apply[0].params.date
But the "policies.apply[1]" doesn't have params (params.date also) so you can write a function to get date like this:
function get_apply_date(index) {
if(policies.apply[index].params && policies.apply[index].params.date)
return policies.apply[index].params.date;
return undefined; // or null
}
Related
I've got a lot of doc filters on my UI (date ranges, checkboxes, input fields), so the query is generated dynamically - that's why I decided to create a boolean query, and push everything to must array. This is the example of my request:
const {
body: {
hits
}
} = await esclient.search({
from: filterQuery.page || 0,
size: filterQuery.limit || 1000,
index,
body: query
});
Checkboxes (I used additional bool.should inside must array) and date range work perfectly, but term/match filtering is not working at all:
{
"query": {
"bool": {
"must": [
{"match": { "issueNumber": "TEST-10" }}
]
}
}
}
The query above gives me all the documents from the index that contains "TEST" (with their scores), if I change match to term - it returns an empty array.
As my field is of a type 'text', I've also tried filter query - ES still gives all the documents with 'TEST' word:
{
"query": {
"bool": {
"must": [
{
"bool": {
"filter": {
"match": {"issueNumber": "TEST-10"}
}
}
}
]
}
}
}
This is how my hit looks like:
{
"_index" : "test_elastic",
"_type" : "_doc",
"_id" : "bj213hj2gghg213",
"_score" : 0.0,
"_source" : {
"date" : "2019-11-26T13:27:01.586Z",
"country" : "US",
"issueNumber" : "TEST-10",
}
Can someone give me input on how to filter the docs properly in complex query?
This is the structure of my index:
{
"test_elasticsearch" : {
"aliases" : { },
"mappings" : {
"properties" : {
"country" : {
"type" : "text"
},
"date" : {
"type" : "date"
},
"issueNumber" : {
"type" : "text"
}
}
},
"settings" : {
"index" : {
"creation_date" : "1574759226800",
"number_of_shards" : "1",
"number_of_replicas" : "1",
"uuid" : "PTDsdadasd-ERERER",
"version" : {
"created" : "7040299"
},
"provided_name" : "logs"
}
}
}
}
Ok, the problem is that your issueNumber field has not the right type, it should be keyword instead of text if your goal is to make exact searches on it. Same for country. Modify your mapping like this:
"properties" : {
"country" : {
"type" : "keyword"
},
"date" : {
"type" : "date"
},
"issueNumber" : {
"type" : "keyword"
}
}
Then reindex your data and your queries will work.
I want to sum counts values for each beacon. I'm using aggregate query but it returns with counts 0. Please let me know if there is mistake in query.
Sample Data
[ {
"_id" : ObjectId("5a8166392aa41ec66efc66bf"),
"userID" : "5a7c3410bdff0f0014181874",
"date" : ISODate("2018-02-08T11:04:54.000Z"),
"beacons" : [
{
"counts" : "2",
"UUID" : "red"
},
{
"counts" : "1",
"UUID" : "blue"
}
]
},
{
"_id" : ObjectId("5a8166392aa41ec66efc66c0"),
"userID" : "5a7c3410bdff0f0014181874",
"date" : ISODate("2018-02-08T11:04:54.000Z"),
"beacons" : [
{
"counts" : "2",
"UUID" : "red"
},
{
"counts" : "1",
"UUID" : "blue"
}
]
}
]
Query
/* Query */
db.getCollection('CountsDetail')
.aggregate([
{
"$unwind":"$beacons"
},
{
"$group": {
"_id":"$beacons.UUID", "counts":{ "$sum":"$counts"}
}
}]);
Response
/* Response */
{
"_id" : "red",
"counts" : 0
}
{
"_id" : "blue",
"counts" : 0
}
Response is returning 0 in sum, which is weird. Please correct what I am doing wrong. Thanks
Sorry miss read your OP. Your counts field is nested so use a dot notation:
"counts":{ "$sum":"$beacons.counts"}
I am trying to parse a JSON object and delete the Key 'id' with in it, I was able to delete the 'id' which appears in the root of the object but unable to traverse with in the nested array objects which also has 'id' key and delete them, Now follows the code block
var json = {
"id" : "a28b469b-b4f2-4846-9b5f-9d866f249bbe",
"description" : "Cost of Product",
"periodicity" : "calendar-monthly",
"Vanilla" : [ {
"id" : "22382c50-f56f-40b7-a308-203da052c5bc",
"price" : {
"amount" : 100.000,
"currency" : "USD"
},
"packing" : "RECURRING",
"billedInAdvance" : true
} ],
"Chocolate" : [ {
"id" : "44672921-1966-456e-bde2-87ef72f31cab",
"price" : {
"amount" : 256.000000,
"currency" : "USD"
},
"packing" : "Box_Usage"
} ],
"Peach" : [ {
"id" : "e3a600e2-a2ed-4872-8e6d-5d59ec5ca02d",
"packing" : "Box_Usage",
"diff" : [ {
"pricePerUnit" : {
"amount" : 25.000000,
"currency" : "USD"
},
"fixedPrice" : {
"amount" : 36.000000,
"currency" : "USD"
}
} ]
} ],
"Strawberry" : [ {
"id" : "43b4a121-455a-4828-b4bf-1bacda49f9ce",
"packing" : "Box_Usage",
"diff" : [ {
"pricePerUnit" : {
"amount" : 100.000000,
"currency" : "USD"
}
} ]
} ]
}
I am able to delete the 'id' property within an array object by accessing it through the index, But this wont handle dynamic scenarios when the keys with in the JSON grows. Any suggestion would be valuable
You can do it recursively: each time you find an array within the object, you loop through it to remove id in each element.
var json = {
"id" : "a28b469b-b4f2-4846-9b5f-9d866f249bbe",
"description" : "Cost of Product",
"periodicity" : "calendar-monthly",
"Vanilla" : [ {
"id" : "22382c50-f56f-40b7-a308-203da052c5bc",
"price" : {
"amount" : 100.000,
"currency" : "USD"
},
"packing" : "RECURRING",
"billedInAdvance" : true
} ],
"Chocolate" : [ {
"id" : "44672921-1966-456e-bde2-87ef72f31cab",
"price" : {
"amount" : 256.000000,
"currency" : "USD"
},
"packing" : "Box_Usage"
} ],
"Peach" : [ {
"id" : "e3a600e2-a2ed-4872-8e6d-5d59ec5ca02d",
"packing" : "Box_Usage",
"diff" : [ {
"pricePerUnit" : {
"amount" : 25.000000,
"currency" : "USD"
},
"fixedPrice" : {
"amount" : 36.000000,
"currency" : "USD"
}
} ]
} ],
"Strawberry" : [ {
"id" : "43b4a121-455a-4828-b4bf-1bacda49f9ce",
"packing" : "Box_Usage",
"diff" : [ {
"pricePerUnit" : {
"amount" : 100.000000,
"currency" : "USD"
}
} ]
} ]
};
function removeId(obj) {
delete obj.id;
Object.keys(obj).forEach(key => {
if (Array.isArray(obj[key])) {
obj[key].forEach(o => {
removeId(o);
});
}
});
}
removeId(json);
console.log(json);
I have a collection of the structure as follows:
collection name : "positions"
Structure
{
"_id" : "vtQ3tFXg8THF3TNBc",
"candidatesActions" : {
"sourced" : [ ],
},
"appFormObject" : {
"name" : "✶ mandatory",
"questions" : [
{
"qusId" : "qs-585494",
"type" : "simple",
"qus" : "Which was your previous company"
},
{
"qusId" : "qs-867766",
"type" : "yesNo",
"qus" : "Are you willing to relocate?",
"disqualify" : "true"
}
]
}
}
I want to update "qus" field of the above collection whose _id is "vtQ3tFXg8THF3TNBc" and "qusId" is "qs-585494".
Try following....
db.positions.update(
{_id: "vtQ3tFXg8THF3TNBc", "appFormObject.questions.qusId":"qs-585494"},
{$set:{"appFormObject.questions.$.qus": "this is updated value"}}
)
Use following query
db.positions.findAndModify({
query: { _id: "vtQ3tFXg8THF3TNBc", "appFormObject.questions.qusId":"qs-585494"} ,
update: { $set: { 'appFormObject.questions.$.qus': 'Brilliant Green' } },
});
Thanks
I have some code in which I need the ability to add child nodes to a jstree which themselves contain children. The below code adds a 'child2' node correctly to 'child1' but ignores the child3 data. Any help much appreciated. Code follows:
<html>
<head>
<script type="text/javascript" src="http://static.jstree.com/v.1.0rc2/jquery.js"></script>
<script type="text/javascript" src="http://static.jstree.com/v.1.0rc2/jquery.jstree.js"></script>
<script type="text/javascript">
$(document).ready(function() {
$(function () {
$("#tree").jstree({
"json_data" : {
"data" : [
{
"data" : "parent",
"attr" : { "id" : "root.id" },
"children" : [ { "data" : "child1",
"attr" : { "id" : "child1.id" },
"children" : [ ] }
]
},
]
},
"plugins" : [ "themes", "json_data", "crrm" ]
});
});
$("#add").click(function() {
$("#tree").jstree("create", $("#child1\\.id"), "inside",
{ "data" : "child2", "attr" : { "id" : "child2.id" },
"children" : [ { "data" : "child3", "attr" : { "id" : "child3.id" }, "children": [ ] } ] },
function() { alert("added"); }, true);
});
});
</script>
</head>
<body>
<div id="tree" name="tree"></div>
<input type="button" id="add" value="add" />
</body>
</html>
First off, that's not valid json with the last comma inside the last bracket. Take that off:
[
{
"data" : "parent",
"attr" : {
"id" : "root.id"
},
"children" : [
{
"data" : "child1",
"attr" : {
"id" : "child1.id"
},
"children" : [ ]
}
]
}
]
Also, as of version 3.0 or perhaps before you can simply just insert a new node with json. Recursion is no longer needed.
I created json like so, which creates a folder called income and puts many text children underneath it but also those could be folders just like the parent with more content. See my function below which inserts this folder into the parent with all it's children:
{
"text" : "Income",
"id" : "_folder_income",
"state" : {
"opened" : true
},
"children" : [
{
"text" : "$125,000 - $150,000",
"state" : {
"selected" : true
},
"icon" : "jstree-file",
"id" : "6017897162332"
},
{
"text" : "$150,000 - $250,000",
"state" : {
"selected" : false
},
"icon" : "jstree-file",
"id" : "6017897374132"
},
{
"text" : "$250,000 - $350,000",
"state" : {
"selected" : false
},
"icon" : "jstree-file",
"id" : "6017897397132"
},
{
"text" : "$350,000 - $500,000",
"state" : {
"selected" : false
},
"icon" : "jstree-file",
"id" : "6017897416732"
},
{
"text" : "Over $500,000",
"state" : {
"selected" : false
},
"icon" : "jstree-file",
"id" : "6017897439932"
},
{
"text" : "$30,000 - $40,000",
"state" : {
"selected" : false
},
"icon" : "jstree-file",
"id" : "6018510070532"
},
{
"text" : "$100,000 - $125,000",
"state" : {
"selected" : false
},
"icon" : "jstree-file",
"id" : "6018510083132"
},
{
"text" : "$40,000 - $50,000",
"state" : {
"selected" : false
},
"icon" : "jstree-file",
"id" : "6018510087532"
},
{
"text" : "$75,000 - $100,000",
"state" : {
"selected" : false
},
"icon" : "jstree-file",
"id" : "6018510100332"
},
{
"text" : "$50,000 - $75,000",
"state" : {
"selected" : false
},
"icon" : "jstree-file",
"id" : "6018510122932"
}
]
}
This same json could also be used to fill a parent folder on tree instance:
/**
* inserts a new node (json object returned from url) into an existing node (parentNodeId), for the div ud in jsTreeName which is
* an instanced jstree.
* #param string jsTreeName {name of an instanced tree}
* #param string url {returns json}
* #param string parentNodeId {string of the parent node id}
*/
function insertUrlIntoNode(jsTreeName, url, parentNodeId) {
var nodeTree = getSynchronousJson(url);
var tree = $('#'+jsTreeName).jstree(true);
tree.deselect_all();
var sel = tree.create_node(parentNodeId, nodeTree);
//tree.deselect_all();
//tree.select_node(sel); //optionally you could select the new node after insersion
}
As far as I can see from the source, "create" function doesn't support creating multi-level tree at once. The method that gets called doesn't use and check the children attribute on passed data.
You need to do it yourself, something like that :
var recursivelyCreate = function (node, parentNodeId) {
tree.jstree("create", $("#"+parentNodeId), "inside", node, function() {}, true);
if(node.children){
$.each(node.children, function(i, child){
recursivelyCreate(child, node.attr.id);
});
}
};
recursivelyCreate(rootNodeYouWantToInsert,nodeParentId);