I have a column name payment_data in my database table. data was stored as JSON array using json_encode().
I want to parse the JSON array in my datatable. But I fail.
this is the data that I want to access
payment_data column
I updated my data structure to this.
Array[2][
{
"po_id": 43,
"full_name": "Dawn Zulita",
"level": "organization",
"payment_data": {
"product_id": "184",
"product_name": "Grading Org Product",
"student_name": {
"0": "Eloise Phillips",
"1": "Lara vel"
}
},
"date_purchase": "2018-08-10 10:38:08"
},
{
"po_id": 42,
"full_name": "QWerty You",
"level": "school",
"payment_data": {
"product_id": 185,
"product_name": "School Owner Manual Payment School Owner Manual Payment",
"student_name": {
"0": "Jai Who",
"1": "Charlie Putt",
"2": "Kevin Young"
}
},
"date_purchase": "2018-08-09 14:53:35"
}
]
I can now access the payment_data.product_name,
{
data: 'payment_data.product_id'
},
{
data: 'payment_data.product_name'
},
but the problem is I cannot access payment_data.student_name
error return Undefined index
{
data: 'payment_data.student_name'
},
Related
This is in relation to this question. I'm having this error:
TypeError
Illuminate\Database\Grammar::parameterize(): Argument #1 ($values) must be of type array, int given, called in /var/www/html/vendor/laravel/framework/src/Illuminate/Database/Query/Grammars/Grammar.php on line 920
While inserting data using createMany. This is the form request data:
{
"name": "My Order",
"orders": [
{
"date": "2022-05-17",
"product_id": [1],
"price": 1
},
{
"start_date": "2022-05-18",
"product_id": [2],
"price": 2
}
]
}
This is the store method:
$order = auth()->user()->orders()->create($request->validated());
$order_subs = $order->subOrders()->createMany($request->orders);
$order_sub_items = $request->only('orders')['orders'];
foreach ($order_subs as $key => $value) {
$value->subOrderProducts()->createMany([$order_sub_items[$key]);
}
However, if the product_id is not an array, it will store properly. Sample form request data:
{
"name": "My Order",
"orders": [
{
"date": "2022-05-17",
"product_id": 1,
"price": 1
},
{
"start_date": "2022-05-18",
"product_id": 2,
"price": 2
}
]
}
How to fix this error?
I had a task where I needed to compare and filter two JSON arrays based on the same values using one column of each array. So I used this answer of this question.
However, now I need to compare two JSON arrays matching two, or even three columns values.
I already tried to use one map inside other, however, it isn't working.
The examples could be the ones in the answer I used. Compare db.code = file.code, db.name = file.nm and db.id = file.identity
var db = [
{
"CODE": "A11",
"NAME": "Alpha",
"ID": "C10000"
},
{
"CODE": "B12",
"NAME": "Bravo",
"ID": "B20000"
},
{
"CODE": "C11",
"NAME": "Charlie",
"ID": "C30000"
},
{
"CODE": "D12",
"NAME": "Delta",
"ID": "D40000"
},
{
"CODE": "E12",
"NAME": "Echo",
"ID": "E50000"
}
]
var file = [
{
"IDENTITY": "D40000",
"NM": "Delta",
"CODE": "D12"
},
{
"IDENTITY": "C30000",
"NM": "Charlie",
"CODE": "C11"
}
]
See if this works for you
%dw 2.0
output application/json
var file = [
{
"IDENTITY": "D40000",
"NM": "Delta",
"CODE": "D12"
},
{
"IDENTITY": "C30000",
"NM": "Charlie",
"CODE": "C11"
}
]
var db = [
{
"CODE": "A11",
"NAME": "Alpha",
"ID": "C10000"
},
{
"CODE": "B12",
"NAME": "Bravo",
"ID": "B20000"
},
{
"CODE": "C11",
"NAME": "Charlie",
"ID": "C30000"
},
{
"CODE": "D12",
"NAME": "Delta",
"ID": "D40000"
},
{
"CODE": "E12",
"NAME": "Echo",
"ID": "E50000"
}
]
---
file flatMap(v) -> (
db filter (v.IDENTITY == $.ID and v.NM == $.NAME and v.CODE == $.CODE)
)
Using flatMap instead of map to flatten otherwise will get array of arrays in the output which is cleaner unless you are expecting a possibility of multiple matches per file entry, in which case I'd stick with map.
You can compare objects in DW directly, so the solution you linked can be modified to the following:
%dw 2.0
import * from dw::core::Arrays
output application/json
var db = [
{
"CODE": "A11",
"NAME": "Alpha",
"ID": "C10000"
},
{
"CODE": "B12",
"NAME": "Bravo",
"ID": "B20000"
},
{
"CODE": "C11",
"NAME": "Charlie",
"ID": "C30000"
},
{
"CODE": "D12",
"NAME": "Delta",
"ID": "D40000"
},
{
"CODE": "E12",
"NAME": "Echo",
"ID": "E50000"
}
]
var file = [
{
"IDENTITY": "D40000",
"NM": "Delta",
"CODE": "D12"
},
{
"IDENTITY": "C30000",
"NM": "Charlie",
"CODE": "C11"
}
]
---
db partition (e) -> file contains {IDENTITY:e.ID,NM:e.NAME,CODE:e.CODE}
You can make use of filter directly and using contains
db filter(value) -> file contains {IDENTITY: value.ID, NM: value.NAME, CODE: value.CODE}
This tells you to filter the db array based on if the file contains the object {IDENTITY: value.ID, NM: value.NAME, CODE: value.CODE}. However, this will not work if objects in the file array has other fields that you will not use for comparison. Using above, you can update filter condition to check if an object in file array exist (using data selector) where the condition applies. You can use below to check that.
db filter(value) -> file[?($.IDENTITY==value.ID and $.NM == value.NAME and $.CODE == value.CODE)] != null
We are calling invokehttp processes and getting response which json. Example
{
"id": "h569gcjhcm",
"doi": {
"id": "10.17632/h569gcjhcm.1",
"status": "allocated",
"prefix": "10.17632"
},
"name": "Data for: Flooding of the Caspian Sea at the intensification of Northern Hemisphere Glaciations",
"description": "Supplementary data for the Jeirankechmez section in Azerbaijan.\n\n- Appendix A contains all paleomagnetic data and interpretations of the Jeirankechmez section. This .dir file can be imported into the paleomagnetism.org webportal under \"Interpretation Portal\", \"Advanced Options\", \"Import Application Save\". For further details on the use of paleomagnetism.org please refer to the article by Koymans et al. (2016) - https://doi.org/10.1016/j.cageo.2016.05.007.\n- Appendix B contains the magnetic susceptibility data for the analysed samples, including geographic coordinates and stratigraphic levels.\n- Appendix C contains the 40Ar/39Ar data for the three analysed volcanic ash layers. ",
"version": 1,
"publish_date": "2019-01-29T12:51:38.090Z",
"data_licence": {
"id": "01d9c749-3c4d-4431-9df3-620b2dcfe144",
"short_name": "CC BY 4.0",
"full_name": "Creative Commons Attribution 4.0 International",
"description": "This dataset is licensed under a Creative Commons Attribution 4.0 International licence.\n\nWhat does this mean?\nYou can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.",
"url": "http://creativecommons.org/licenses/by/4.0",
"category": "Creative"
},
"contributors": [
{
"first_name": "Christiaan",
"last_name": "van Baak"
},
{
"first_name": "Marius",
"last_name": "Stoica"
},
{
"first_name": "Arjen",
"last_name": "Grothe"
},
{
"first_name": "Gareth",
"last_name": "Davies"
},
{
"profile_id": "72970719-95c8-341b-80d2-afa9e7154baf",
"first_name": "Wout",
"last_name": "Krijgsman"
},
{
"profile_id": "3a4bfe2c-4098-3859-9b88-789fa993e05a",
"first_name": "Keith",
"last_name": "Richards"
},
{
"profile_id": "f1660f3c-ebbd-3289-8240-1f4ea7913df4",
"first_name": "Klaudia",
"last_name": "Kuiper"
},
{
"first_name": "Elmira",
"last_name": "Aliyeva"
}
],
"versions": [
{
"version": 1,
"publish_date": "2019-01-29T12:51:38.090Z",
"available": true
}
],
"files": [
{
"filename": "Appendix_A_Jeirankechmez_pmag_interpretations.dir",
"id": "f2f4cba7-2411-4737-a9b2-f094db30dca1",
"content_details": {
"id": "994bc865-5300-4d76-a373-e528ccd830e8",
"sha256_hash": "2427c4b077372760973ce8224694f2a2ee5383c7f022ad818164d847a20e27cc",
"sha1_hash": "73792dc6d6eb2c1de1e04926ba5d4420dd0aaece",
"content_type": "application/x-director",
"size": 917022,
"created_date": "2019-01-03T00:00:00.000Z"
"download_expiry_time": "2019-01-29T13:52:25.729Z"
},
"metrics": {
"downloads": 0,
"previews": 0
}
},
{
"filename": "Appendix_B_Sample_locations_susceptibility.xlsx",
"id": "64241bf0-5279-49e8-a505-be9075b910e1",
"content_details": {
"id": "af8809d0-8e63-4599-abaa-e7af9ad39959",
"sha256_hash": "0588f44a0cbd477aa2798323e57ce0b2d4a118e767c0b1ffdc9eb1017e4d23c2",
"sha1_hash": "02e89f6f197ebf495e1e2c3d1aab250efc7545e7",
"content_type": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"size": 24770,
"created_date": "2019-01-03T00:00:00.000Z"
,
"download_expiry_time": "2019-01-29T13:52:25.732Z"
},
"metrics": {
"downloads": 0,
"previews": 0
}
},
{
"filename": "Appendix_C_ArAr_data.xlsx",
"id": "2e912027-ff3f-48ad-98b9-b643b59ba0e3",
"content_details": {
"id": "4960377c-060d-41f6-b7af-150617d8ebeb",
"sha256_hash": "235dc32c1e99f350ee5c99908a5f5d72d1aeeab02f78c2e0181d585bd1880fa6",
"sha1_hash": "6483156e4577948cac5d2679eee862c76faed1c9",
"content_type": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"size": 18510,
"created_date": "2019-01-03T00:00:00.000Z"
},
"metrics": {
"downloads": 0,
"previews": 0
}
}
],
"articles": [
{
"id": "10.1016/j.gloplacha.2019.01.007",
"title": "Flooding of the Caspian Sea at the intensification of Northern Hemisphere Glaciations",
"doi": "10.1016/j.gloplacha.2019.01.007",
"journal": {
"issn": "0921-8181",
"name": "Global and Planetary Change",
"url": "http://www.sciencedirect.com/science/journal/09218181"
}
}
],
"categories": [
{
"id": "http://com/vocabulary/OmniScience/Concept-170590667",
"label": "Geology"
},
{
"id": "http://data.elsevier.com/vocabulary/OmniScience/Concept-473860195",
"label": "Strontium Isotope"
}
],
"institutions": [ ],
"metrics": {
},
"available": true,
"related_links": [ ]
}
I am using $contributors.profile_id from above json to call new endpoint(invokeshttp) (https://api.xxx.com/profile/$.profile_id)
Json response for this
"contributors": [
{
“profile_id”:”cedferfiherhforhforf”
"first_name": “xxx”,
"last_name": "van Baak”,
“other_ids”:[] ,
“Other info”: “deeded” }
I have to call this endpoint depending upon number of object in contributor(let say we have 5 object in contributor ,so I have to call this endpoint 5 time)and combine these 5 response together
Then I have to merge the response(above response to the main response )
just an example:
EvaluateJsonPath to extract "id" into attribute, later join by this attribute
SplitJson to split your json by "contributors"
call endpoint
MergeContent merge by "id" and with count after SplitJson
I have a following GraphQL query
query {
Result: querydata {
name
code
description
}
}
that returns me the following data
{
"data": {
"Result": [
{
"name": "Class1",
"code": "ST1",
"description": "Value"
},
{
"name": "Class1",
"code": "ST2",
"description": "Value"
},
{
"name": "Class2",
"code": "FS1",
"description": "Value"
},
{
"name": "Class2",
"code": "FS2",
"description": "Value"
}
]
}
}
In this data, I have a name field that either be "Class1" or "Class2". I wan't to group this data in a way that I can have Class1 and Class2 data separated. Is there any way of doing this. I could have achieved this by running 2 separate queries by providing a name filter but lets say I don't have that option.
I want to transform the result as follow
{
"data": {
"Result": [
"Class1": [
{
"code": "ST1",
"description": "Value"
},
{
"code": "ST2",
"description": "Value"
}
]
"Class2": [
{
"code": "FS1",
"description": "Value"
},
{
"code": "FS2",
"description": "Value"
}
]
]
}
}
What you are describing is something that should either happen on the client side or allow your query type to receive a name option that you use to return the propper class, then the query below would work for what you are needing assuming it was able to lookup the name of the querydata
query {
Class1: querydata(name: "Class1") {
code
description
}
Class2: querydata(name: "Class2") {
code
description
}
}
IList<FilterDefinition<Family>> filters = new List<FilterDefinition<Family>>();
var filter = Builders<Family>
.Filter.Eq(e=>e.id, "Andersen.1");
filters.Add(filter);
var filterPartiion = Builders<Family>
.Filter.Eq(e => e.LastName, "Andersen");
filters.Add(filterPartiion);
var update = Builders<Family>.Update
.Set<Boolean>(e=>e.IsRegistered, true);
var searchOn = Builders<Family>.Filter.And(filters);
collection.UpdateOne(searchOn, update);
Using .net MongoDB.Driver on Azure Cosmos DB, I would like to do an update on the IsRegistered element of the document based on the the filter of id="Andersen.1" and LastName="Andersen", in which LastName is partition key. I am new to MongoDB, is my code correct?
I got an error:
"query in command must target a single shard key"
[
{
"id": "Andersen.1",
"LastName": "Andersen",
"Parents": [
{
"FamilyName": null,
"FirstName": "Thomas"
},
{
"FamilyName": null,
"FirstName": "Mary Kay"
}
],
"Children": [
{
"FamilyName": null,
"FirstName": "Henriette Thaulow",
"Gender": "female",
"Grade": 6,
"Pets": [
{
"GivenName": "Fluffy"
}
]
}
],
"Address": {
"State": "WA",
"County": "King",
"City": "Seattle"
},
"IsRegistered": false,
"_rid": "S4UzAMRFRAABAAAAAAAAAA==",
"_self": "dbs/S4UzAA==/colls/S4UzAMRFRAA=/docs/S4UzAMRFRAABAAAAAAAAAA==/",
"_etag": "\"0100d5a1-0000-0000-0000-59b9d8cd0000\"",
"_attachments": "attachments/",
"_ts": 1505351885
},
...
...
]