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I have output brakeman scan results to a json file and want to flatten the structure.
Brakeman json output sample looks like this
{
"scan_info": {
"security_warnings": 9,
"start_time": "2021-11-01 14:44:58 +1100",
"end_time": "2021-11-01 14:45:13 +1100",
"brakeman_version": "5.1.2"
},
"warnings": [
{
"warning_type": "Redirect",
"warning_code": 18,
"fingerprint": "cae2f2cfd8",
"check_name": "Redirect",
"message": "Possible unprotected redirect",
"file": "app/controllers/my/controller.rb",
"line": 24,
"link": "https://brakemanscanner.org/docs/warning_types/redirect/",
"code": "redirect_to....",
"render_path": null,
"location": {
"type": "method",
"class": "My::Controller",
"method": "request_token"
},
"user_input": "my.base_url",
"confidence": "High"
},
{.....}
],
"ignored_warnings": [],
"errors": [],
"obsolete": ["xxx","yyyy"]
}
I want to flatten the output into an array of objects similar to this. I want most data from the warnings array except .location and .render_path.
[
{
"brakeman_version": "5.1.2",
"warning_type": "Redirect",
"warning_code": 18,
"fingerprint": "cae2f0d2cfd8",
"check_name": "Redirect",
"message": "Possible unprotected redirect",
"line": 24,
"link": "https://brakemanscanner.org/docs/warning_types/redirect/",
"code": "redirect_to...",
"confidence": "High"
},
{
"brakeman_version": "5.1.2",
"warning_type": "SQL Injection",
"check_name": "SQL",
"message": "Possible SQL injection",
"warning_code": 35,
....
"confidence": "High"
}
]
Something like this gives a nested object for each item in the warnings array but I'd like to move them up a level
jq '{brakeman_version: .scan_info.brakeman_version, start_time: .scan_info.start_time, warnings: .warnings[]}' ./brakeman.json
Result
{
"brakeman_version": "5.1.2",
"start_time": "2021-11-01 14:44:58 +1100",
"warnings": {
"warning_type": "Redirect",
"warning_code": 18,
"fingerprint": "xxxx",
"check_name": "Redirect",
"message": "Possible unprotected redirect",
"line": 24,
"link": "https://brakemanscanner.org/docs/warning_types/redirect/",
"confidence": "High"
},
{...}
}
Something like this flattens the .scan_info part similarly but still leaves me with an array for warnings which is what was there in the first place.
jq '{
rails_version: .scan_info.rails_version,
security_warnings: .scan_info.security_warnings,
start_time: .scan_info.start_time,
brakeman_version: .scan_info.brakeman_version,
warnings: [.warnings[] | {warning_type: .warning_type,
warning_code: .warning_code,
fingerprint: .fingerprint,
check_name: .check_name,
confidence: .confidence} ],
obsolete: (.obsolete | join(",")),
}' ./brakeman.json
Results
{
"rails_version": "6.1.4.1",
"security_warnings": 9,
"start_time": "2021-11-01 14:44:58 +1100",
"warnings": [
{
"warning_type": "SQL Injection",
"warning_code": 0,
"fingerprint": "xx",
"check_name": "SQL",
"message": "Possible SQL injection",
"line": 178,
"link": "https://brakemanscanner.org/docs/warning_types/sql_injection/",
"confidence": "Medium"
},
{
"warning_type": "Format Validation",
"warning_code": 30,
"fingerprint": "xxx",
"check_name": "ValidationRegex",
"line": 92,
"link": "https://brakemanscanner.org/docs/warning_types/format_validation/",
"code": null,
"user_input": null,
"confidence": "High"
},
]
}
Using jq how do I correctly flatten the structure to output as desired?
I've tried some suggestions found on SO like
jq '{
rails_version: .scan_info.rails_version,
brakeman_version: .scan_info.brakeman_version,
.warnings[] as $in | $in | del(.location, .render_path) as $in2 | $in2,
obsolete: (.obsolete | join(",")),
}' ./brakeman.json
but have been going around in circles at this stage.
With assumptions based on your description provided, I guess you are looking to do this
.scan_info + ( .warnings[] | del(.location, .render_path) )
If you want the entire results packed into an array, enclose the above filter within square brackets([ ])
jqplay demo
I never have worked with json data in R and unfortunately, I was sent a sample of data as:
{
"task_id": "104",
"status": "succeeded",
"metrics": {
"requests_made": 2,
"network_errors": 0,
"unique_locations_visited": 0,
"requests_queued": 0,
"queue_items_completed": 2,
"queue_items_waiting": 0,
"issue_events": 9,
"caption": "",
"progress": 100
},
"message": "",
"issue_events": [
{
"id": "1234",
"type": "issue_found",
"issue": {
"name": "policy not enforced",
"type_index": 123456789,
"serial_number": "123456789183923712",
"origin": "https://test.com",
"path": "/robots.txt",
"severity": "low",
"confidence": "certain",
"caption": "/robots.txt",
"evidence": [
{
"type": "FirstOrderEvidence",
"detail": {
"band_flags": [
"in_band"
]
},
"request_response": {
"url": "https://test.com/robots.txt",
"request": [
{
"type": "DataSegment",
"data": "jaghsdjgasdgaskjdgasdgashdgsahdgasjkdgh==",
"length": 313
}
],
"response": [
{
"type": "DataSegment",
"data": "asudasjdgasaaasgdasgaksjdhgasjdgkjghKGKGgKJgKJgKJGKgh==",
"length": 303
}
],
"was_redirect_followed": false,
"request_time": "1234567890"
}
}
],
"internal_data": "jdfhgjhJHkjhdskfhkjhjs0sajkdfhKHKhkj=="
}
},
{
"id": "1235",
"type": "issue_found",
"issue": {
"name": "certificate",
"type_index": 12345845684,
"serial_number": "123456789165637150",
"origin": "https://test.com",
"path": "/",
"severity": "info",
"confidence": "certain",
"description": "The server description a valid, trusted certificate. This issue is purely informational.<br><br>The server presented the following certificates:<br><br><h4>Server certificate</h4><table><tr><td><b>Issued to:</b> </td><td>test.ie, test.com, www.test.com, www.test.ie</td></tr><tr><td><b>Issued by:</b> </td><td>GeoTrust EV RSA CA 2018</td></tr><tr><td><b>Valid from:</b> </td><td>Tue May 12 00:00:00 UTC 2020</td></tr><tr><td><b>Valid to:</b> </td><td>Tue May 17 12:00:00 UTC 2022</td></tr></table><h4>Certificate chain #1</h4><table><tr><td><b>Issued to:</b> </td><td>GeoTrust EV RSA CA 2018</td></tr><tr><td><b>Issued by:</b> </td><td> High Assurance EV Root CA</td></tr><tr><td><b>Valid from:</b> </td><td>Mon Nov 06 12:22:46 UTC 2017</td></tr><tr><td><b>Valid to:</b> </td><td>Sat Nov 06 12:22:46 UTC 2027</td></tr></table><h4>Certificate chain #2</h4><table><tr><td><b>Issued to:</b> </td><td> High Assurance EV Root CA</td></tr><tr><td><b>Issued by:</b> </td><td> High Assurance EV Root CA</td></tr><tr><td><b>Valid from:</b> </td><td>Fri Nov 10 00:00:00 UTC 2006</td></tr><tr><td><b>Valid to:</b> </td><td>Mon Nov 10 00:00:00 UTC 2031</td></tr></table>",
"caption": "/",
"evidence": [],
"internal_data": "sjhdgsajdggJGJHgjfgjhGJHgjhsdgfgjhGJHGjhsdgfjhsgfdsjfg098867hjhgJHGJHG=="
}
},
{
"id": "1236",
"type": "issue_found",
"issue": {
"name": "without flag set",
"type_index": 1254392,
"serial_number": "12345678965616",
"origin": "https://test.com",
"path": "/robots.txt",
"severity": "info",
"confidence": "certain",
"description": "my description text here....",
"caption": "/robots.txt",
"evidence": [
{
"type": "InformationListEvidence",
"request_response": {
"url": "https://test.com/robots.txt",
"request": [
{
"type": "DataSegment",
"data": "adjkhajksdhaskjdhkjHKJHjkhaskjdhkjasdhKHKJHkjsdhfkjsdhfkjsdhKHJKHjksdfhsdjkfhksdjhKHKJHJKhsdkfjhsdkfjhKHJKHjksdkfjhsdkjfhKHKJHjkhsdkfjhsdkjfhsdjkfhksdjfhKJHKjksdhfsdjkfhksdjfhsdkjhKHJKhsdkfhsdkjfhsdkfhdskjhKHKjhsdfkjhsdjkfh==",
"length": 313
}
],
"response": [
{
"type": "DataSegment",
"data": "adjkhajksdhaskjdhkjHKJHjkhaskjdhkjasdhKHKJHkjsdhfkjsdhfkjsdhKHJKHjksdfhsdjkfhksdjhKHKJHJKhsdkfjhsdkfjhKHJKHjksdkfjhsdkjfhKHKJHjkhsdkfjhsdkjfhsdjkfhksdjfhKJHKjksdhfsdjkfhksdjfhsdkjhKHJKhsdkfhsdkjfhsdkfhdskjhKHKjhsdfkjhsdjkfh=",
"length": 161
},
{
"type": "HighlightSegment",
"data": "adjkhajksdhaskjdhkjHKJHjkhaskjdhkjasdhKHKJHkjsdhfkjsdhfkjsdhKHJKHjksdfhsdjkfhksdjhKHKJHJKhsdkfjhsdkfjhKHJKHjksdkfjhsdkjfhKHKJHjkhsdkfjhsdkjfhsdjkfhksdjfhKJHKjksdhfsdjkfhksdjfhsdkjhKHJKhsdkfhsdkjfhsdkfhdskjhKHKjhsdf=",
"length": 119
},
{
"type": "DataSegment",
"data": "AasjkdhasjkhkjHKJSDHFJKSDFHKhjkHSKADJFHKhjkhjkh=",
"length": 23
}
],
"was_redirect_followed": false,
"request_time": "178454751191465"
},
"information_items": [
"Other: user_id"
]
}
],
"internal_data": "adjkhajksdhaskjdhkjHKJHjkhaskjdhkjasdhKHKJHkjsdhfkjsdhfkjsdhKHJKHjksdfhsdjkfhksdjhKHKJHJKhsdkfjhsdkfjhKHJKHjksdkfjhsdkjfhKHKJHjkhsdkfjhsdkjfhsdjkfhksdjfhKJHKjksdhfsdjkfhksdjfhsdkjhKHJKhsdkfhsdkjfhsdkfhdskjhKH=="
}
},
{
"id": "1237",
"type": "issue_found",
"issue": {
"name": "without flag set",
"type_index": 1234567,
"serial_number": "123456789056704",
"origin": "https://test.com",
"path": "/",
"severity": "info",
"confidence": "certain",
"description": "long description here zjkhasdjkh hsajkdhsajkd hasjkdhbsjkdash d",
"caption": "/",
"evidence": [
{
"type": "InformationListEvidence",
"request_response": {
"url": "https://test.com/",
"request": [
{
"type": "DataSegment",
"data": "adjkhajksdhaskjdhkjHKJHjkhaskjdhkjasdhKHKJHkjsdhfkjsdhfkjsdhKHJKHjksdfhsdjkfhksdjhKHKJHJKhsdkfjhsdkfjhKHJKHjksdkfjhsdkjfhKHKJHjkhsdkfjhsdkjfhsdjkfhksdjfhKJHKjksdhfsdjkfhksdjfhsdkjhKHJKhsdkfhsdkjfhsdkfhdskjhKHKjhsdfkjhsdjkfhsfdsfdsfdsfdsfdsfsdfdsf",
"length": 303
}
],
"response": [
{
"type": "DataSegment",
"data": "adjkhajksdhaskjdhkjHKJHjkhaskjdhkjasdhKHKJHkjsdhfkjsdhfkjsdhKHJKHjksdfhsdjkfhksdjhKHKJHJKhsdkfjhsdkfjhKHJKHjksdkfjhsdkjfhKHKJHjkhsdkfjhsdkjfhsdjkfhksdjfhKJHKjksdhfsdjkfhksdjfhsdkjhKHJKhsdkfhsdkjfhsdkfhdskjhKHKjhsdfkjhsdjkfh==",
"length": 151
},
{
"type": "HighlightSegment",
"data": "adjkhajksdhaskjdhkjHKJHjkhaskjdhkjasdhKHKJHkjsdhfkjsdhfkjsdhKHJKHjksdfhsdjkfhksdjhKHKJHJKhsdkfjhsdkfjhKHJKHjksdkfjhsdkjfhKHKJHjkhsdkfjhsdkjfhsdjkfhksdjfhKJHKjksdhfsdjkfhksdjfhsdkjhKHJKhsdkfhsdkjfhsdkfhdskjhKHKjhsdfkjhsdjkfh=",
"length": 119
},
{
"type": "DataSegment",
"data": "sdfdsfsdfSDFSDFdSFDS546SDFSDFDSFG657=",
"length": 23
}
],
"was_redirect_followed": false,
"request_time": "123541191466"
},
"information_items": [
"Other: user_id"
]
}
],
"internal_data": "adjkhajksdhaskjdhkjHKJHjkhaskjdhkjasdhKHKJHkjsdhfkjsdhfkjsdhKHJKHjksdfhsdjkfhksdjhKHKJHJKhsdkfjhsdkfjhKHJKHjksdkfjhsdkjfhKHKJHjkhsdkfjhsdkjfhsdjkfhksdjfhKJHKjksdhfsdjkfhksdjfhsd=="
}
},
{
"id": "1238",
"type": "issue_found",
"issue": {
"name": "parameter pollution",
"type_index": 4137000,
"serial_number": "123456789810290176",
"origin": "https://test.com",
"path": "/robots.txt",
"severity": "low",
"confidence": "firm",
"description": "very long description text here...",
"caption": "/robots.txt [URL path filename]",
"evidence": [
{
"type": "FirstOrderEvidence",
"detail": {
"payload": {
"bytes": "Q3jkeiZkcmg8MQ==",
"flags": 0
},
"band_flags": [
"in_band"
]
},
"request_response": {
"url": "https://test.com/%3fhdz%26drh%3d1",
"request": [
{
"type": "DataSegment",
"data": "W1QOIC8=",
"length": 5
},
{
"type": "HighlightSegment",
"data": "WRMnBGR6JTI2ZHJoJTNkMQ==",
"length": 16
},
{
"type": "DataSegment",
"data": "adjkhajksdhaskjdhkjHKJHjkhaskjdhkjasdhKHKJHkjsdhfkjsdhfkjsdhKHJKHjksdfhsdjkfhksdjhKHKJHJKhsdkfjhsdkfjhKHJKHjksdkfjhsdkjfhKHKJHjkhsdkfjhsdkjfhsdjkfhksdjfhKJHKjksdhfsdjkfhksdjfhsdkjhKHJKhsdkfhsdkjfhsdkfhdskjhKHKjhsdfkjhsdjkfhcvxxcvklxcvjkxclvjxclkvjxcklvjlxckjvlxckjvklxcjvxcklvjxcklvjxckljvlxckjvxcklvjxckljvxcklvjcklxjvcxkl==",
"length": 298
}
],
"response": [
{
"type": "DataSegment",
"data": "adjkhajksdhaskjdhkjHKJHjkhaskjdhkjasdhKHKJHkjsdhfkjsdhfkjsdhKHJKHjksdfhsdjkfhksdjhKHKJHJKhsdkfjhsdkfjhKHJKHjksdkfjhsdkjfhKHKJHjkhsdkfjhsdkjfhsdjkfhksdjfhKJHKjksdhfsdjkfhksdjfhsdkjhKHJKhsdkfhsdkjfhsdkfhdskjhKHKjhsdfkjhsdjkfh==",
"length": 130
},
{
"type": "HighlightSegment",
"data": "Q4jleiZkcmg9MQ==",
"length": 10
},
{
"type": "DataSegment",
"data": "adjkhajksdhaskjdhkjHKJHjkhaskjdhkjasdhKHKJHkjsdhfkjsdhfkjsdhKHJKHjksdfhsdjkfhksdjhKHKJHJKhsdkfjhsdkfjhKHJKHjksdkfjhsdkjfhKHKJHjkhsdkfjhsdkjfhsdjkfhksdjfhKJHKjksdhfsdjkfhksdjfhsdkjhKHJKhsdkfhsdkjfhsdkfhdskjhKHKjhsdfkjhsdjkfh==",
"length": 163
}
],
"was_redirect_followed": false,
"request_time": "51"
}
}
],
"internal_data": "adjkhajksdhaskjdhkjHKJHjkhaskjdhkjasdhKHKJHkjsdhfkjsdhfkjsdhKHJKHjksdfhsdjkfhksdjhKHKJHJKhsdkfjhsdkfjhKHJKHjksdkfjhsdkjfhKHKJHjkhsdkfjhsdkjfhsdjkfhksdjfhKJHKjksdhfsdjkfhksdjfhsdkjhKHJKhsdkfhsdkjfhsdkfhdskjhKHKjhsdfkjhsdjkfh="
}
}
],
"event_logs": [],
"audit_items": []
}
I read it in R using jsonlite:
df_orig <- fromJSON('dast_sample_output.json', flatten= T)
This gives a nested list type R object. I wish to convert this list to a data frame in a tidy format with all the arrays and sub arrays being unnested.
If you run the str(df_orig), you could see the nested data frames in there.
How do I convert it to tidy format?
I tried unnest(), purrr but struggling to get into the tidy format for analysis? Any pointers would be highly appreciated.
Cheers,
use the jsonlite package function fromJSON()
edit:
set option flatten=T
edit2:
use content( x, 'text') before flattening
here is a full example converting to data.table:
get.json <- GET( apicall.text )
get.json.text <- content( get.json , 'text')
get.json.flat <- fromJSON( get.json.text , flatten = T)
dt <- as.data.table( get.json.flat )
I have this json format I'm making an API using ASP.NET.
{
"0": {
"order_id": 11748,
"complete_date": "2021-04-19 14:48:41",
"shipping_code": "aramex.aramex",
"awbs": [
{
"aramex_id": "1314",
"order_id": "11748",
"awb_number": "46572146154",
"reference_number": "11748",
"date_added": "2021-03-04 03:46:58"
}
],
"payment": {
"method": {
"name": "الدفع عند الاستلام",
"code": "cod"
},
"invoice": [
{
"code": "sub_total",
"value": "120.8700",
"value_string": "120.8700 SAR",
"title": "الاجمالي"
},
{
"code": "shipping",
"value": "0.0000",
"value_string": "0.0000 SAR",
"title": "ارمكس"
},
{
"code": "coupon",
"value": "-13.9000",
"value_string": "-13.9000 SAR",
"title": "قسيمة التخفيض(RMP425)"
},
{
"code": "cashon_delivery_fee",
"value": "5.0000",
"value_string": "5.0000 SAR",
"title": "رسوم الدفع عند الاستلام"
},
{
"code": "tax",
"value": "18.1300",
"value_string": "18.1300 SAR",
"title": " ضريبة القيمة المضافة (15%)"
},
{
"code": "total",
"value": "130.1000",
"value_string": "130.1000 SAR",
"title": "الاجمالي النهائي"
}
]
},
"product": [
{
"id": 69,
"name": "مخلط 4 أو دو بيرفيوم للجنسين - 100 مل",
"sku": "45678643230",
"weight": "0.50000000",
"quantity": 1,
"productDiscount": "",
"images": []
}
]
}
}
How can I reach order_id? I made an object let's say its name is obj1 I tried foreach obj1 and storing into a variable obj1.order_id;
It stored null in the variable. the {"0"} is the numbering of orders starts 0-1-2 etc.
You can deserialize that json to Dictionary<string,dynamic> without creating a new class as following:
var values = JsonConvert.DeserializeObject<Dictionary<string, dynamic>>(json);
var orderId = values["0"]["order_id"].ToString();
This will give you 11748 as a result.
I've been using Forms Recognizer for some days now and can't get it to recognize the keys in my forms.
I want to use it to extract the answers given by students in a test...here is an example.
I can't change the structure of the sheet students fill because it is a national exam and I don't have access to who organizes it.
So I trained a model as recommended on Microsoft documentation and used it to "read" the forms and it gets most of the answers, but it all comes as values of a key "Tokens"
{
"key": [
{
"text": "__Tokens__",
"boundingBox": [
0,
0,
0,
0,
0,
0,
0,
0
]
}
],
"value": [
{
"text": "01",
"boundingBox": [
110.1,
826.6,
125.6,
826.6,
125.6,
816.8,
110.1,
816.8
],
"confidence": 1
},
{
"text": "A",
"boundingBox": [
148.2,
834.4,
160.6,
834.4,
160.6,
816.8,
148.2,
816.8
],
"confidence": 1
},
{
"text": "26",
"boundingBox": [
229.4,
828.6,
246,
828.6,
246,
816.8,
229.4,
816.8
],
"confidence": 1
},
{
"text": "B",
"boundingBox": [
268.6,
834.4,
277.8,
834.4,
277.8,
816.8,
268.6,
816.8
],
"confidence": 1
}
Then I recreated the structure on excel but with : after the numbers and trained another model. I also printed some copies of it and filled in to test and Form Recognizer understood the numbers as keys.
{
"key": [
{
"text": "01:",
"boundingBox": [
270.4,
1625.4,
313,
1625.4,
313,
1600.5,
270.4,
1600.5
]
}
],
"value": [
{
"text": "A",
"boundingBox": [
350.7,
1620.9,
368.8,
1620.9,
368.8,
1587,
350.7,
1587
],
"confidence": 1
}
]
},
{
"key": [
{
"text": "26:",
"boundingBox": [
520.2,
1624.2,
552.8,
1624.2,
552.8,
1600.5,
520.2,
1600.5
]
}
],
"value": [
{
"text": "E",
"boundingBox": [
604.6,
1618.8,
625.8,
1618.8,
625.8,
1587,
604.6,
1587
],
"confidence": 1
}
]
}
Does anyone know some way to recognize the number fields as keys without the : ?
Form Recognizer will not consider the row numbers as keys unless specifically marked as keys, hence it currently does not discover them as keys.
I'm trying to read a JSON object with has nested lists. Which looks like this:
[{
"id": 70070037001,
"text": "List 1",
"isleaf": 0,
"children": [
{
"oid": 100,
"text": "Innerlistobject100",
"isleaf": 0,
"children": [
{
"sid": 1000,
"text": "Innerlistobject1000",
"isleaf": 1
},
{
"sid": 2000,
"text": "Innerlistobject2000",
"isleaf": 1
}
]
},
{
"oid": 200,
"text": "Innerlistobject200",
"isleaf": 0,
"children": [
{
"sid": 1000,
"text": "Innerlistobject1000",
"isleaf": 1
},
{
"sid": 2000,
"text": "Innerlistobject2000",
"isleaf": 1
}
]
}
]
}]
ref: https://sourceforge.net/p/pljson/discussion/935365/thread/375c0293/ - where the person is creating the object, but I want to do the opposite and read it.
Do I have to iterate like this (note name is children within children):
Declare
l_Children_List json_list;
JSON_Obj json;
l_Child_JSON_Obj json;
Begin
IF (JSON_Obj.exist ('children')) THEN
IF (JSON_Obj.get ('children').is_array)
l_Children_List := json_list (JSON_Obj.get ('children'));
FOR i IN 1 .. l_Children_List.COUNT
IF (JSON_Obj.exist ('children')) THEN
IF (JSON_Obj.get ('children').is_array)
l_Children_List := json_list (JSON_Obj.get ('children'));
FOR i IN 1 .. l_Children_List.COUNT
jSON_child_val := l_Children_List.get (i);
l_Child_JSON_Obj := json (jSON_child_val );
LOOP
End If;
LOOP
End If;
End;
with json_example as (
select '{
"id": 70070037001,
"text": "List 1",
"isleaf": 0,
"children": [
{
"oid": 100,
"text": "Innerlistobject100",
"isleaf": 0,
"children": [
{
"sid": 1000,
"text": "Innerlistobject1000",
"isleaf": 1
},
{
"sid": 2000,
"text": "Innerlistobject2000",
"isleaf": 1
}
]
},
{
"oid": 200,
"text": "Innerlistobject200",
"isleaf": 0,
"children": [
{
"sid": 1000,
"text": "Innerlistobject1000",
"isleaf": 1
},
{
"sid": 2000,
"text": "Innerlistobject2000",
"isleaf": 1
}
]
}
]
}' as json_document
from dual
)
SELECT tab.*
FROM json_example a
join json_table (a.json_document, '$'
COLUMNS
(id NUMBER PATH '$.id'
,text VARCHAR2(50) PATH '$.text'
,isleaf NUMBER PATH '$.isleaf'
,NESTED PATH '$.children[*]'
COLUMNS
(oid NUMBER PATH '$.oid'
,otext VARCHAR2(150) PATH '$.text'
,oisleaf NUMBER PATH '$.isleaf'
,NESTED PATH '$.children[*]'
COLUMNS
(sid NUMBER PATH '$.sid'
,stext VARCHAR2(250) PATH '$.text'
,sisleaf NUMBER PATH '$.isleaf'
)
)
)
) tab on 1=1