I have two type of JSON format one is with a single data, another one is with multiple data in an array of JSON.
First JSON format:
{
"data": {
"id": "1",
"artist": "Gotye",
"title": "Making Mirrors"
}
}
Second:
{
"data": [
{
"id": "1",
"artist": "Gotye",
"title": "Making Mirrors"
},
{
"id": "99",
"artist": "uy",
"title": "uy"
},
{
"id": "100",
"artist": "yt",
"title": "yt"
},
{
"id": "101",
"artist": "65",
"title": "565"
},
{
"id": "102",
"artist": "6",
"title": "6"
},
{
"id": "103",
"artist": "y",
"title": "yy"
},
{
"id": "104",
"artist": "ty",
"title": "yt"
}
]
}
In backbone model when I do:
parse: function(response) {
return response.data;
}
for the first one, it works which i can populate the JSON data to the view, but for the second JSON it does not.
I am wondering if there is any way that could make the backbone parse function to standardize the JSON format to backbone understadable format. Any advice or any solution for this will be much appreciated. Thank you
Related
I need to standardize the object response key/values so that they are easier to parse/traverse using the tool I'm integrating.
Starting with the following JSON:
{
"status": true,
"body": {
"phone": "+1 937-830-1167",
"address": "2323 kuhku",
"linkedin": "uhku",
"twitter": "uhukh",
"education": "weeww",
"work_experience": "wewaew",
"write_something_about_you": "yugtyt",
"why_you_think_you_are_good_for_this_job": "kuhhuk",
"write_your_assignment_question": "kuhghuhghj",
"upload_your_attachment": null,
"upload_your_resume_here": null
}
}
Using Dart, what would be the best way to reformat as shown?
{
"status": true,
"body": {
"answers":[
{
"label": "phone",
"answer":"+1 937-830-1167"
},
{
"label": "address",
"answer":"2323 kuhku"
},
{
"label": "linkedin",
"answer": "uhku"
},
{
"label": "twitter",
"answer": "uhku"
},
{
"label": "education",
"answer": "uhku"
},
{
"label": "work_experience",
"answer": "uhku"
},
{
"label": "write_something_about_you",
"answer": "uhku"
},
{
"label": "why_you_think_you_are_good_for_this_job",
"answer": "uhku"
},
{
"label": "write_your_assignment_question",
"answer": "uhku"
},
{
"label": "upload_your_attachment",
"answer": "uhku"
},
{
"label": "write_something_about_you",
"answer": "upload_your_resume_here"
}
]
}
}
I'm somewhat limited by the tool I'm using so this will make it much easier to parse the JSON object with JSON Path as needed.
Looks like something that should be easily doable as:
var json = ... your json ...;
var result = {
"status": json["status"],
"body": [for (var e in json["body"].entries)
{"label": e.key, "answer": e.value}
]
};
Create a new JSON object with the same "status" and a "body" which is a list instead of a map, and for each entry in the original map, create a JSON object with a "label" and "answer" taken from the key and value of the map entry.
I am new to Python/Scala. Trying to read/parse a JSON file from dataLake using Python and Scala but unsuccessful. Is there something wrong with the .JSON schema. I have attached the JSON schema and the data frame screenshots. Any help would be highly appreciated.
{
"result": [
{
"instance": {
"link": "https://service-now.com/api/now/table/assessment_instance/3d2a2c44d720058ba859e03d2",
"value": "3d2a2c44d720058ba859e03d2"
},
"string_value": "Very Good",
"assign_to_order": "",
"instance_question": {
"link": "https://service-now.com/api/now/table/assessment_instance_question/022a2c44d720058ba859e03d7",
"value": "022a2c44d720058ba859e03d7"
},
"template_definition": "",
"metric_definition": {
"link": "https://service-now.com/api/now/table/metric_definition/7758eb387233200dbba82cb0bfb",
"value": "7758eb387233200dbba82cb0bfb"
},
"sys_updated_on": "207-07-0 02:3:3",
"scaled_value": "4",
"metric": {
"link": "https://service-now.com/api/now/table/metric/542a2c44d720058ba859e03a4",
"value": "542a2c44d720058ba859e03a4"
},
"sys_created_on": "203-2-04 2:34:08",
"sys_domain": {
"link": "https://service-now.com/api/now/table/sys_user_group/global",
"value": "global"
},
"weighted_value": "0.8",
"source_id": {
"link": "https://service-now.com/api/now/table/type/502a2c44d720",
"value": "502a2c44d720058ba859e03a3"
},
"normalized_value": ".33",
"source_table": "metric_type",
"user": "",
"sys_created_by": "admin"
}
]
}
val asmt_metric_result = spark.read.option("multiline", "true")
.json(s"c:/servicenow/asmt_metric_result/2021/09/28/08/32/asmt_metric_result_000000.json")
asmt_metric_result.show(false)
I have a json file and I want to add some value from top in another place in json.
I am trying to use jq command line.
{
"channel": "mychannel",
"videos": [
{
"id": "10",
"url": "youtube.com"
},
{
"id": "20",
"url": "youtube.com"
}
]
}
The output would be:
{
"channel": "mychannel",
"videos": [
{
"channel": "mychannel",
"id": "10",
"url": "youtube.com"
},
{
"channel": "mychannel",
"id": "20",
"url": "youtube.com"
}
]
}
in my json the "channel" is static, same value always. I need a way to concatenate always in each video array.
Someone can help me?
jq .videos + channel
Use a variable to remember .channel in the later stages of the pipeline.
$ jq '.channel as $ch | .videos[].channel = $ch' tmp.json
{
"channel": "mychannel",
"videos": [
{
"id": "10",
"url": "youtube.com",
"channel": "mychannel"
},
{
"id": "20",
"url": "youtube.com",
"channel": "mychannel"
}
]
}
I am trying to utilize the JSON result of a GET request to my Li3 app, but I would like the result to be an array of the returned JSON objects, rather than an object of the JSON objects.
I have the following code in my view file (index.html.php):
print($todos->to('json'));
Which results in each row becoming a JSON object (good), but within an over-arching JSON object.
{
"1": {
"id": "1",
"title": "One",
"done": "0"
},
"2": {
"id": "2",
"title": "Two",
"done": "0"
},
"3": {
"id": "3",
"title": "Three",
"done": "0"
},
"4": {
"id": "4",
"title": "Four",
"done": "0"
}
}
I would like to get:
[
{
"id": "1",
"title": "One",
"done": "0"
},
{
"id": "2",
"title": "Two",
"done": "0"
},
{
"id": "3",
"title": "Three",
"done": "0"
},
{
"id": "4",
"title": "Four",
"done": "0"
}
]
Note: I've found that this was the case (array of objects) in commit "974469cf25db5cbab61f3e1ff172405f4635032e" of the lithium github project, but with anything after that commit, the result is an object of objects.
Try $todos->to('json', ['indexed' => false]), or, refer to the Media class for direct serialization of JSON without the template.
Todos::all(['return' => 'array'))->to('json'); works perfect with RecordSet too
I want to index & search nested json in solr. Here is my json code
{
"id": "44444",
"headline": "testing US",
"generaltags": [
{
"type": "person",
"name": "Jayalalitha",
"relevance": "0.334",
"count": 1
},
{
"type": "person",
"name": "Kumar",
"relevance": "0.234",
"count": 1
}
],
"socialtags": {
"type": "SocialTag",
"name": "US",
"importance": 2
},
"topic": {
"type": "Topic",
"name": "US",
"score": "0.936"
}
}
When I try to Index, I'm getting the error "Error parsing JSON field value. Unexpected OBJECT_START"
When we tried to use Multivalued Field & index, we couldn't able to search using the multivalued field? Its returning "Undefined Field"
Also Please advice if I need to do any changes in schema.xml file?
You are nesting child documents within your document. You need to use the proper syntax for nested child documents in JSON:
[
{
"id": "1",
"title": "Solr adds block join support",
"content_type": "parentDocument",
"_childDocuments_": [
{
"id": "2",
"comments": "SolrCloud supports it too!"
}
]
},
{
"id": "3",
"title": "Lucene and Solr 4.5 is out",
"content_type": "parentDocument",
"_childDocuments_": [
{
"id": "4",
"comments": "Lots of new features"
}
]
}
]
Have a look at this article which describes JSON child documents and block joins.
Using the format mentioned by #qux you will face "Expected: OBJECT_START but got ARRAY_START at [16]",
"code": 400
as when JSON starting with [....] will parsed as a JSON array
{
"id": "44444",
"headline": "testing US",
"generaltags": [
{
"type": "person",
"name": "Jayalalitha",
"relevance": "0.334",
"count": 1
},
{
"type": "person",
"name": "Kumar",
"relevance": "0.234",
"count": 1
}
],
"socialtags": {
"type": "SocialTag",
"name": "US",
"importance": 2
},
"topic": {
"type": "Topic",
"name": "US",
"score": "0.936"
}
}
The above format is correct.
Regarding searching. Kindly use the index to search for the elements of the JSON array.
The workaround for this can be keeping the whole JSON object inside other JSON object and the indexing it
I was suggesting to keep the whole data inside another JSON object. You can try the following way
{
"data": [
{
"id": "44444",
"headline": "testing US",
"generaltags": [
{
"type": "person",
"name": "Jayalalitha",
"relevance": "0.334",
"count": 1
},
{
"type": "person",
"name": "Kumar",
"relevance": "0.234",
"count": 1
}
],
"socialtags": {
"type": "SocialTag",
"name": "US",
"importance": 2
},
"topic": {
"type": "Topic",
"name": "US",
"score": "0.936"
}
}
]
}
see the syntax in http://yonik.com/solr-nested-objects/
$ curl http://localhost:8983/solr/demo/update?commitWithin=3000 -d '
[
{id : book1, type_s:book, title_t : "The Way of Kings", author_s : "Brandon Sanderson",
cat_s:fantasy, pubyear_i:2010, publisher_s:Tor,
_childDocuments_ : [
{ id: book1_c1, type_s:review, review_dt:"2015-01-03T14:30:00Z",
stars_i:5, author_s:yonik,
comment_t:"A great start to what looks like an epic series!"
}
,
{ id: book1_c2, type_s:review, review_dt:"2014-03-15T12:00:00Z",
stars_i:3, author_s:dan,
comment_t:"This book was too long."
}
]
}
]'
supported from solr 5.3