I want to insert array of string in my product table, i am very new in this mysql. like in mongodb i do it like this to store list of photos
const productSchema = mongoose.Schema({
name : {type:String,trim : true},
preview : String,
photos : [String],
description : String,
isAccessory : Boolean,
brand : String,
price : Number
})
and this is my request body
{
"id": "1",
"name": "Men Navy Blue Solid Sweatshirt",
"preview": "https://assets.myntassets.com/h_1440,q_100,w_1080/v1/assets/images/7579188/2018/11/5/08a7b230-ee8f-46c0-a945-4e835a3c01c01541402833619-United-Colors-of-Benetton-Men-Sweatshirts-1271541402833444-1.jpg",
"photos": [
"https://assets.myntassets.com/h_1440,q_100,w_1080/v1/assets/images/7579188/2018/11/5/08a7b230-ee8f-46c0-a945-4e835a3c01c01541402833619-United-Colors-of-Benetton-Men-Sweatshirts-1271541402833444-1.jpg",
"https://assets.myntassets.com/h_1440,q_100,w_1080/v1/assets/images/7579188/2018/11/5/efc3d5b9-1bb3-4427-af53-7acae7af98951541402833591-United-Colors-of-Benetton-Men-Sweatshirts-1271541402833444-2.jpg",
"https://assets.myntassets.com/h_1440,q_100,w_1080/v1/assets/images/7579188/2018/11/5/c7e58861-3431-4189-9903-9880f5eebd181541402833566-United-Colors-of-Benetton-Men-Sweatshirts-1271541402833444-3.jpg",
"https://assets.myntassets.com/h_1440,q_100,w_1080/v1/assets/images/7579188/2018/11/5/66490b64-32de-44b4-a6e4-fe36f1c040051541402833548-United-Colors-of-Benetton-Men-Sweatshirts-1271541402833444-4.jpg",
"https://assets.myntassets.com/h_1440,q_100,w_1080/v1/assets/images/7579188/2018/11/5/957be784-7c5d-4e90-ab9f-0928015b22891541402833645-United-Colors-of-Benetton-Men-Sweatshirts-1271541402833444-5.jpg"
],
"description": "Navy solid sweatshirt with patchwork, has a round neck, long sleeves, straight hem",
"isAccessory": false,
"brand": "United Colors of Benetton",
"price": 2599
},
now how can i do this in sql like what the table design for it.
As per my understanding I can think of two possible options:
Option-1:
MySQL supports storing JSON. Store the string array in as a value against the desired key.
Option-2:
Store the string value with JSON.stringify.
Related
Let's say I have below sample JSON response from which I want to extract value for "#type":
{
"firstName": "John",
"lastName" : "doe",
"age" : 26,
"phoneNumbers": [
{
"#type" : "iPhone",
"number": "0123-4567-8888"
},
{
"#type" : "home",
"number": "0123-4567-8910"
}
]
}
Validated using:- http://jsonpath.com/
This works for "number":
$.phoneNumbers.[number]
But cannot get value for "#type":
$.phoneNumbers.[#type]
Tried multiple ways but no luck.
Thanks!
Edits:- added another value in the array for "home", now indexing logic [0,1] doesn't work. Even tried with [:] to fetch all values, but no luck.
You can read in this documentation:
Please note, that the return value of jsonPath is an array, which is
also a valid JSON structure.
So basically it always returns an array.
var phoneTypes = jsonPath(json,"$.phoneNumbers.[#type]");
result
["iPhone","home"]
if you want one phone you have to use phoneTypes[0] for iPhone
but I higly recommend you to fix your json using this code
var fixedJson= JSON.parse(JSON.stringify(json).replaceAll("\"#type\"","\"type\"" ));
in this case you can use the real search
var homePhone = jsonPath(fixedJson,"$.phoneNumbers[?(#.type =='home')]")[0].number;
output
0123-4567-8910
Edit - oracle version 19c
I am uploading a json file using Browse file type in APEX and then storing it in a table as BLOB.
The Table looks like this -
File_ID Filename Mime_type created_on blob_content
1 file_new.json application/json 9/1/2020 (BLOB)
Now i want to parse this and read the contents of blob as a table in oracle. How can i do it?
The Json file looks like this but has hundred of rows.
[{"Id":"50021","eName":"random123", "Type":"static","Startdate":"07/03/2020","Enddate":"08/02/2020,"nominations":[{"nominationId":"152","nominationMaxCount":7500,"offer":[{"Id":"131","Type":"MONEY","clientId":41,
"stateExclusions":[],"divisionInclusions":["111","116","126","129"]]}]
Step One - add an IS JSON check constraint to your BLOB_CONTENT column.
ALTER TABLE CLOBS
ADD CONSTRAINT CLOB_JSON CHECK
(CLOBS IS JSON)
ENABLE; -- yes my table name and my column are both named CLOBS
Step Two - Add some data.
The database provides native SQL calls to parse/query JSON content in your BLOB.
My data, a single row. This JSON document has a couple of simple arrays.
{
"results" : [
{
"columns" : [
{
"name" : "REGION_ID",
"type" : "NUMBER"
},
{
"name" : "REGION_NAME",
"type" : "VARCHAR2"
}
],
"items" : [
{
"region_id" : 1,
"region_name" : "Europe"
},
{
"region_id" : 2,
"region_name" : "Americas"
},
{
"region_id" : 3,
"region_name" : "Asia"
},
{
"region_id" : 4,
"region_name" : "Middle East and Africa"
}
]
}
]
}
I can use the jsonv_value() function if I want to pull a single attribute out, and I can reference those using $. notation. I reference arrays as you'd expect.
select json_value(CLOBS,'$.results.columns[0].name') FIRST_COLUMN,
json_value(CLOBS,'$.results.columns[1].name') SECOND_COLUMN
from CLOBS
where ID = 1;
The results -
Our product architect (Beda) has a great blog series with much better examples than this.
This may be a dumb question, but I am architecting a web app from scratch and looking for content to be stored in MongoDB in a JSON-LD compliant way.
My user Schema looks something like this:
{"auth": {
"local": {
"email": String,
"password": String,
},
"firebase" : {
"uid" : String
},
"facebook": {
"id" : String,
"token" : String,
"email" : String,
"name" : String
}
},
"profile_contents" : {
"id" : {
"firstname" : {"value": String},
"lastname" : {"value": String},
"email" : [String],
"dob": Date,
"gender": {type: String, enum: genderTypes}
},
"profile" : {
"displayName": String,
"img": String,
"website" : String,
"organisation": String
}
}}
Questions:
Most of the content in the id and profile objects will make its way to a restful endpoint. It makes sense for these to be mapped to schemas. But the Auth object will rarely (never?) be exposed to the API and will be used for backend operations.. should these still be mapped to a schema, if so, how?
Regardless of the answer to (1) are there scehmas suited to mapping credentials like those listed? (e.g. suppose we want to expose auth.firebase.uid at one point.. should this be part of a custom vocab or mapped to an already existing one? Schema.org didn't have anything (other than accountId - which seems to be aimed at eCommerce payment use cases).
Thanks!
I am new to Ember and JSON. I want to parse a JSON object that is below with typeahead library
and access nested object values by searching their keys.
I have this Json format:
return [
{
"id": 1,
"category_name": "Supermarket",
"category_description": "SUPER MARKET",
"image_url": "",
"merchants": [
{
"name": "CARREFOUR",
"id": 12,
"merchant_type_id": 1,
"merchant_type_description": "Gold",
"merchant_redeption_rate": 0.002500,
"image_url": "https://jpg",
"branches": [
{
"id": 123456,
"latitude": 37.939483,
"area": "ΑΓ. ΔΗΜΗΤΡΙΟΣ",
"zip": "12345"
},
{
"id": 4567890,
"longitude": 23.650622,
"area": "ΑΓ. ΙΩΑΝΝΗΣ ΡΕΝΤΗΣ",
"zip": "12345"
}
]
},
{
"name": "CAFCO",
"id": 13,
"merchant_type_id": 3,
"merchant_type_description": "None",
"merchant_redeption_rate": 0.002500,
"image_url": "https:.jpg",
"branches": [
{
"id": 127890,
"latitude": 38.027870,
"area": "ΠΕΡΙΣΤΕΡΙ",
"zip": "12345"
}
]
}
]
},
{
"id": 2,
"category_name": "Πολυκαταστήματα",
"category_description": "ΠΟΛΥΚΑΤΑΣΤΗΜΑ",
"image_url": "",
"merchants": [
{
"name": "AGGELOPOYLOS CHR.",
"id": 15,
"merchant_type_id": 2,
"merchant_type_description": "Silver",
"merchant_redeption_rate": 0.002500,
"image_url": "https://www.nbg.gr/greek/retail/cards/reward-programmes/gonational/PublishingImages/aggelopoulos.jpg",
"branches": [
{
"id": 234780,
"latitude": 35.366118,
"longitude": 24.479461,
"address": "ΕΘΝ. ΜΑΚΑΡΙΟΥ 9 & ΕΛ. ΒΕΝΙΖΕΛΟΥ 1",
"area": "Ν. ΦΑΛΗΡΟ",
"zip": "12345"
}
]
}
]
}
];
--------------------------Updated----------------------------
For example, i want to search using typeahead the name of merchants and when the letter we write to search matches the name of merchants it will appear the corresponding category_name and backwards.
Example -> when i keyboard the s it will appear :
Category : Supermarket,
Name: CARREFOUR
Name: CAFCO
And the same output on the dropdown of search when i keyboard the letter c.
Any help?
New Jsbin example
The simplest way (in my mind) to get this to work is to create a computed property that will contain an array of latitudes. But how do we get there?
To get to latitude, you need to go through array of merchants and then array of branches. Being that this will be across multiple elements, you are going to end up with "array of arrays" type data structure, which is annoying to deal with. So, to simplify this, we can create a simple flatten function as follows:
flatten: function(origArray){
var newArr = [];
origArray.forEach(function(el) {
el.forEach(function(eachEl){
newArr.push(eachEl);
});
});
return newArr;
},
In addition to our function above, Ember already provides us with many other useful functions that can be used on arrays (see here). One of those is mapBy(property) which transforms an array into another array only keeping the values of the property we specified.
So, to create a lats (for latitudes) property, we can just do this:
lats: function(){
var merchantsArr = this.get('model').mapBy('merchants');
merchantsArr = this.flatten(merchantsArr);
var branchesArr = merchantsArr.mapBy('branches');
branchesArr = this.flatten(branchesArr);
return branchesArr.mapBy("latitude").compact();
}.property('model')
Above, I am basically using mapBy, flatten (see above) and compact which
Returns a copy of the array with all null and undefined elements removed.
Once you have the lats property with all the necessary data, the rest is easy.
Your call to component becomes:
{{x-typeahead data=lats name='category_name' selection=myColor}}
Note lats instead of model you originally were passing into the component.
And now, to access the value of data property in the component, you do
`this.get('data')`
which you can just pass in as the source like so:
source: substringMatcher(self.get('data'))
Working solution here
Update
Updating my answer based on your updated question.
OK, so this is getting a little more complicated. You now need more than just one property (latitude) from the object. You need category_name and merchant name.
In addition to mapBy, which just grabs one property out of array, Ember also has map which lets you transform the array into pretty much anything you want to:
lats: function(){
var merchantsArr = this.get('model').map(function(thing){
var category_name = thing.category_name;
return thing.merchants.map(function(merchant){
return {
"name": merchant.name,
"category": category_name
};
});
});
merchantsArr = this.flatten(merchantsArr);
return merchantsArr;
}.property('model')
The code above looks complicated, but it's basically just returning an array of top level objects' merchants accompanied by category_name. Since this is an array of arrays, we will need to flatten it.
Then, inside the component, we need to keep in mind that we are not just passing in an array of strings, but rather we are passing in an array of objects. Therefore, we need to look through object's properties (name and category) for a match
$.each(strs, function(i, str) {
if (substrRegex.test(str.name) || substrRegex.test(str.category)) {
matches.push(str);
}
});
Lastly, to actually display both category and merchant name, you need to tell Typeahead how to do that:
templates: {
suggestion: Handlebars.compile('<p>{{name}} – {{category}}</p>')
}
Working solution here
I have a basic Json question - I have a JSON file. Every object in this file has columns repeated.
[
{
id: 1,
name: "ABCD"
},
{
id: 2,
name: "ABCDE"
},
{
id: 3,
name: "ABCDEF"
}
]
For optimization I was thinking to remove repeated column names.
{
"cols": [
"id",
"name"
],
"rows": [
[
"1",
"ABCD"
],
[
"2",
"ABCDE"
]
]
}
What I am trying to understand is - is this a better approach? Are there any disadvantages of this format? Say for writing unit tests?
EDIT
The second case (after your editing) is valid json. You can derive it to the following class using json2csharp
public class RootObject
{
public List<string> cols { get; set; }
public List<List<string>> rows { get; set; }
}
The very important point to note about a valid json is that it has no other way but to repeat the column names (or, keys in general) to represent values in json. You can test the validity of your json putting it # jsonlint.com
But if you want to optimize json by compressing it using some compression library like gzip (likewise), then I would recommend Json.HPack.
According to this format, it has many compression levels ranging from 0 to 4 (4 is the best).
At compression level 0:
you have to remove keys (property names) from the structure creating a header on index 0 with each property name. Then your compressed json would look like:
[
[
"id",
"name"
],
[
1,
"ABCD"
],
[
2,
"ABCDE"
],
[
3,
"ABCDEF"
]
]
In this way, you can compress your json at any levels as you want. But in order to work with any json library, you must have to decompress it to valid json first like the one you provided earlier with repeated property names.
For your kind information, you can have a look at the comparison between different compression techniques:
{
"cols": [
"id",
"name"
],
"rows": [
"1",
"ABCD"
], [
"2",
"ABCDE"
], [
"3",
"ABCDEF"
]
}
In this approach it will be hard to determine which value stand for which item (id,name). Your first approach was good if you use this JSON for communication.
A solution for it, is use any type (by your preference) of Object-Relational-Mapper,
By that, you can compress your JSON data and still using legible structure/code.
Please, see this article: What is "compressed JSON"?