I want to group the data based on the type and type_id
Here is the array
var addArray = [
{
"id": 24,
"language_id": 3,
"type": "service",
"type_id": 2,
"key": "service seeker",
"value": " need service"
},
{
"id": 23,
"language_id": 3,
"type": "service",
"type_id": 2,
"key": "phone",
"value": "phone number"
},
{
"id": 24,
"language_id": 3,
"type": "service",
"type_id": 7,
"key": "tester",
"value": "service tester"
}
{
"id": 19,
"language_id": 3,
"type": "offer",
"type_id": 4,
"key": "source",
"value": "resource"
}
]
I have tried let result = _.groupBy(addArray,'type') it is grouping the data based on type but I need to group by type as well as type_id
Expected output
If you need the a flat grouping based on two or more properties, use the _.groupBy() callback to combine the properties to a string:
const addArray = [{"id":24,"language_id":3,"type":"service","type_id":2,"key":"service seeker","value":" need service"},{"id":23,"language_id":3,"type":"service","type_id":2,"key":"phone","value":"phone number"},{"id":24,"language_id":3,"type":"service","type_id":7,"key":"tester","value":"service tester"},{"id":19,"language_id":3,"type":"offer","type_id":4,"key":"source","value":"resource"}]
const result = _.groupBy(addArray, o => `${o.type}-${o.type_id}`)
console.log(result)
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.min.js"></script>
If you need a multi level grouping, start by grouping by the type, then map the groups with _.values(), and group them again by type_id:
const { flow, partialRight: pr, groupBy, mapValues } = _
const fn = flow(
pr(groupBy, 'type'),
pr(mapValues, g => groupBy(g, 'type_id'))
)
const addArray = [{"id":24,"language_id":3,"type":"service","type_id":2,"key":"service seeker","value":" need service"},{"id":23,"language_id":3,"type":"service","type_id":2,"key":"phone","value":"phone number"},{"id":24,"language_id":3,"type":"service","type_id":7,"key":"tester","value":"service tester"},{"id":19,"language_id":3,"type":"offer","type_id":4,"key":"source","value":"resource"}]
const result = fn(addArray)
console.log(result)
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.min.js"></script>
Related
I have following jsonb structure in column recipients in a table called mailing:
[
{
"text": "Text1",
"smsId": 1,
"value": "123456",
"status": "Sent"
},
{
"text": "Text1",
"smsId": 2,
"value": "23456",
"status": "Sent"
},
{
"text": "Text1",
"smsId": 3,
"value": "345678",
"status": "Sent"
}]
I need to update one field in multiple elements, so the outcome should look like this:
[
{
"text": "Text1",
"smsId": 1,
"value": "123456",
"status": "Delivered"
},
{
"text": "Text1",
"smsId": 2,
"value": "23456",
"status": "Delivered"
},
{
"text": "Text1",
"smsId": 3,
"value": "345678",
"status": "Delivered"
}]
The most close I got to solution is this:
WITH item AS (SELECT mailing_id, ('{' || INDEX-1 || ',status}')::text[] AS PATH
FROM mailing, jsonb_array_elements(recipients) WITH ORDINALITY arr(recipient, INDEX)
WHERE recipient->>'smsId' = any(array['1', '2', '3']))
UPDATE mailing m
SET recipients = jsonb_set(recipients, item.path, '"Delivered"',FALSE)
FROM item
WHERE m.mailing_id = item.mailing_id;
But this solution updates only first row, and I am not sure if I should somehow loop this or try different approach?
You need to aggregate modified array elements with jsonb_agg():
with new_data as (
select
mailing_id,
jsonb_agg(
case when value->>'smsId' = any('{1,2,3}') then value || '{"status": "Delivered"}'
else value
end) as recipients
from mailing
cross join jsonb_array_elements(recipients)
group by mailing_id
)
update mailing m
set recipients = n.recipients
from new_data n
where m.mailing_id = n.mailing_id;
Test it in db<>fidlle.
How can I get the data out of this array stored in a variant column in Snowflake. I don't care if it's a new table, a view or a query. There is a second column of type varchar(256) that contains a unique ID.
If you can just help me read the "confirmed" data and the "editorIds" data I can probably take it from there. Many thanks!
Output example would be
UniqueID ConfirmationID EditorID
u3kd9 xxxx-436a-a2d7 nupd
u3kd9 xxxx-436a-a2d7 9l34c
R3nDo xxxx-436a-a3e4 5rnj
yP48a xxxx-436a-a477 jTpz8
yP48a xxxx-436a-a477 nupd
[
{
"confirmed": {
"Confirmation": "Entry ID=xxxx-436a-a2d7-3525158332f0: Confirmed order submitted.",
"ConfirmationID": "xxxx-436a-a2d7-3525158332f0",
"ConfirmedOrders": 1,
"Received": "8/29/2019 4:31:11 PM Central Time"
},
"editorIds": [
"xxsJYgWDENLoX",
"JR9bWcGwbaymm3a8v",
"JxncJrdpeFJeWsTbT"
] ,
"id": "xxxxx5AvGgeSHy8Ms6Ytyc-1",
"messages": [],
"orderJson": {
"EntryID": "xxxxx5AvGgeSHy8Ms6Ytyc-1",
"Orders": [
{
"DropShipFlag": 1,
"FromAddressValue": 1,
"OrderAttributes": [
{
"AttributeUID": 548
},
{
"AttributeUID": 553
},
{
"AttributeUID": 2418
}
],
"OrderItems": [
{
"EditorId": "aC3f5HsJYgWDENLoX",
"ItemAssets": [
{
"AssetPath": "https://xxxx573043eac521.png",
"DP2NodeID": "10000",
"ImageHash": "000000000000000FFFFFFFFFFFFFFFFF",
"ImageRotation": 0,
"OffsetX": 50,
"OffsetY": 50,
"PrintedFileName": "aC3f5HsJYgWDENLoX-10000",
"X": 50,
"Y": 52.03909266409266,
"ZoomX": 100,
"ZoomY": 93.75
}
],
"ItemAttributes": [
{
"AttributeUID": 2105
},
{
"AttributeUID": 125
}
],
"ItemBookAttribute": null,
"ProductUID": 52,
"Quantity": 1
}
],
"SendNotificationEmailToAccount": true,
"SequenceNumber": 1,
"ShipToAddress": {
"Addr1": "Addr1",
"Addr2": "0",
"City": "City",
"Country": "US",
"Name": "Name",
"State": "ST",
"Zip": "00000"
}
}
]
},
"orderNumber": null,
"status": "order_placed",
"submitted": {
"Account": "350000",
"ConfirmationID": "xxxxx-436a-a2d7-3525158332f0",
"EntryID": "xxxxx-5AvGgeSHy8Ms6Ytyc-1",
"Key": "D83590AFF0CC0000B54B",
"NumberOfOrders": 1,
"Orders": [
{
"LineItems": [],
"Note": "",
"Products": [
{
"Price": "00.30",
"ProductDescription": "xxxxxint 8x10",
"Quantity": 1
},
{
"Price": "00.40",
"ProductDescription": "xxxxxut Black 8x10",
"Quantity": 1
},
{
"Price": "00.50",
"ProductDescription": "xxxxx"
},
{
"Price": "00.50",
"ProductDescription": "xxxscount",
"Quantity": 1
}
],
"SequenceNumber": "1",
"SubTotal": "00.70",
"Tax": "1.01",
"Total": "00.71"
}
],
"Received": "8/29/2019 4:31:10 PM Central Time"
},
"tracking": null,
"updatedOn": 1.598736670503000e+12
}
]
So, this is how I'd query that exact JSON assuming the data is in column var in table x:
SELECT x.var[0]:confirmed:ConfirmationID::varchar as ConfirmationID,
f.value::varchar as EditorID
FROM x,
LATERAL FLATTEN(input => var[0]:editorIds) f
;
Since your sample output doesn't match the JSON that you provided, I will assume that this is what you need.
Also, as a note, your JSON includes outer [ ] which indicates that the entire JSON string is inside an array. This is the reason for var[0] in my query. If you have multiple records inside that array, then you should remove that. In general, you should exclude those and instead load each record into the table separately. I wasn't sure whether you could make that change, so I just wanted to make note.
I am using Typescript in an Angular/Ionic project. I have an array of users that contain an array of skills. I have to filter users based on their online status as well as skills.
[
{
"id": 1,
"name": "Vikram Shah",
"online_status": "Online",
"skills": [{
"id": 2,
"title": "CSS"
},
{
"id": 3,
"title": "JavaScript"
},
{
"id": 4,
"title": "Python"
}
]
},
{
"id": 1,
"name": "Abhay Singh",
"online_status": "Online",
"skills": [{
"id": 1,
"title": "HTML"
},
{
"id": 2,
"title": "CSS"
},
{
"id": 3,
"title": "JavaScript"
},
{
"id": 4,
"title": "Python"
}
]
},
{
"id": 1,
"name": "Test Oberoi",
"online_status": "Online",
"skills": [{
"id": 1,
"title": "HTML"
},
{
"id": 2,
"title": "CSS"
},
{
"id": 3,
"title": "JavaScript"
},
{
"id": 4,
"title": "Python"
}
]
}
]
This is how all skills look like
this.skill_types = [
{"id":8,"title":"Cleaner", checked:false},
{"id":7,"title":"Painter", checked:false},
{"id":6,"title":"Plumber", checked:false},
{"id":5,"title":"Carpenter", checked:false},
{"id":4,"title":"Advisor", checked:false},
{"id":3,"title":"Team Leader", checked:false},
{"id":2,"title":"Management", checked:false},
{"id":1,"title":"Administrator", checked:false}
];
This array contains the IDs of skills that I want to filter
filterArr = [1, 3, 6];
This solution is almost working as expected. It is filtering well based on two criteria together.But not sure how to add condition for second filtering. The second filter should apply only if filterArr is not empty.
return this.items = this.items.filter((thisUser) => {
return thisUser.online_status.toLowerCase().indexOf(onlineStatus.toLowerCase()) > -1 &&
thisUser.skills.some(c => this.filterArr.includes(c.id))
});
The issue I am facing with code above is When there is no skill selected in the filter criteria, I would like to display all users. But it is not working that way. The logic here is to not apply any filter when the size of selected skills (filter condition) is greater than zero. So I tried this way....which looks similar to the way above...but this makes everything worse.
let filteredByStatus = [];
filteredByStatus = this.items.filter((thisUser) => {
return thisUser.online_status.toLowerCase().indexOf(onlineStatus.toLowerCase()) > -1
});
//Condition can be applied if filtering is separated
let filteredBySkills = [];
filteredBySkills = this.items.filter((thisUser) => {
return thisUser.skills.some(c => this.filterArr.includes(c.id))
});
//Expecting to join results from multiple filters
return this.items = filteredByStatus.concat(filteredBySkills);
But this is not working at all. Not sure what wrong is there. I am looking for a solution that enables to join arrays of similar objects without duplicating them.
Don't think you need to join arrays for your filtering. You can use something like rxjs filter.
return from(this.items)
.pipe(
filter(user => {
return user.online_status.toLowerCase().indexOf(onlineStatus.toLowerCase()) > -1
&& user.skills.some(c => filterArr.includes(c.id));
})
);
Or if you like to split it up you can just change it to like:
return from(this.items)
.pipe(
filter(user => user.online_status.toLowerCase().indexOf(onlineStatus.toLowerCase()) > -1),
filter(user => user.skills.some(c => filterArr.includes(c.id)))
);
Stackblitz: https://stackblitz.com/edit/angular-pk3w8b
You can tweak your condition a bit and place !this.filterArr.length in your condition (in terms of OR condition AND with user status) to make your whole condition gets true so that user gets filter.
i want to convert my apiArray fetched from api to AngularJS NVD3 MultiBarChart data format.
$scope.apiArray = [{"date":"2018-07-05T05:05:39.732Z","id":2"count":1},{"date":"2018-07-05T05:05:39.732Z","id": 3,"count": 1},"date": "2018-07-06T05:05:39.732Z","id": 2,"count": 1}, {"date": "2018-07-06T05:05:39.732Z","id": 4,"count": 2}
Using Lodash library where key is my id, to ->
$scope.data = [{"key":"2", "values":[{"date": "2018-07-05T05:05:39.732Z", "count": "1"},{"date": "2018-07-06T05:05:39.732Z", "count": "1"}]},{"key":"3", "values":[{"date": "2018-07-05T05:05:39.732Z", "count": "1"}]},{"key":"4", "values":[{"date": "2018-07-06T05:05:39.732Z", "count": "2"}]}]
Is there any solution? I want to feed my apiArray to AngularJS NVD3 to create Multibar chart.
you can simply use a _.groupBy with a _.map to acheive this
_(data).groupBy('id').map((values, key) => ({key, values})).value()
First grouped by the 'id', it will return a object where keys will
be unique ids and each values will a array contains all the objects
having that id
Then map it (each key/value) to a object have key key and values,
key will contain the unique id and values will be the objects having
that id (what we get in _.groupBy against each unique id, simple use that)
var data = [{ "date": "2018-07-05T05:05:39.732Z", "id": 2, "count": 1 }, { "date": "2018-07-05T05:05:39.732Z", "id": 3, "count": 1, }, { "date": "2018-07-06T05:05:39.732Z", "id": 2, "count": 1 }, { "date": "2018-07-06T05:05:39.732Z", "id": 4, "count": 2 } ];
var res = _(data)
.groupBy('id')
.map((values, key) => ({ key, values}))
.value();
console.log(res);
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.11/lodash.min.js"></script>
This should help you:
var data = [{ "date": "2018-07-05T05:05:39.732Z", "id": 2, "count": 1 }, { "date": "2018-07-05T05:05:39.732Z", "id": 3, "count": 1, }, { "date": "2018-07-06T05:05:39.732Z", "id": 2, "count": 1 }, { "date": "2018-07-06T05:05:39.732Z", "id": 4, "count": 2 } ]
const result = _(data)
.groupBy(x => x.id)
.entries()
.map(x => ({ key: x[0], values: x[1]}))
.value()
console.log(result)
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.10/lodash.min.js"></script>
We are using chaining then grouping by (via groupBy) the id, then using entries to get the contents in an array form and then just map to the expected object result.
Struggling to understand why I get an error when I try to use ES6 .find on this data below. I'm trying to get the record with id number 3.
{
{id:10,title:'Dairy & Eggs'}
{id:7,title:'Laundry & Househo,}
{id:9,title:'Bakery'}
{id:8,title:'Fresh Food'}
{id:4,title:'Frozen Food'}
{id:6,title:'Health & Beauty'}
{id:3,title:'Food Cupboard'}
{id:5,title:'Drinks'}
{id:2,title:'Chilled Food'}
}
I tried
const category = categories.find(function (category) { return category.id === 3; }
console.log(category)
and
const category = categories.filter(category => category.id === 3)
console.log(category)
Any help is appreciated.
Array.filter() and Array.find() works over array not on object.
Either you need to change your Data to Array of Objects as
[
{id:10,title:'Dairy & Eggs'},
{id:7,title:'Laundry & Househo'},
{id:9,title:'Bakery'},
{id:8,title:'Fresh Food'},
{id:4,title:'Frozen Food'},
{id:6,title:'Health & Beauty'},
{id:3,title:'Food Cupboard'},
{id:5,title:'Drinks'},
{id:2,title:'Chilled Food'}
]
DEMO
var categories = [
{
"id": 10,
"title": "Dairy & Eggs"
},
{
"id": 7,
"title": "Laundry & Househo"
},
{
"id": 9,
"title": "Bakery"
},
{
"id": 8,
"title": "Fresh Food"
},
{
"id": 4,
"title": "Frozen Food"
},
{
"id": 6,
"title": "Health & Beauty"
},
{
"id": 3,
"title": "Food Cupboard"
},
{
"id": 5,
"title": "Drinks"
}
];
const category = categories.filter(category => category.id === 3) ;
console.log(category)