I have some JSON along the following lines, the format of which cannot, unfortunately, be changed:
{
"elements": {
"nodes": [
{
"data": {
"name": "Name here",
"color": "#FFFFFF",
"id": "n0"
}
}
]
}
}
This is stored in a postgres database and I'd like to pull out records by means of the id embedded in the JSON above. So far I've tried stuff like this:
SELECT "data".* FROM "data" WHERE payload #>> '{elements,nodes,data,id}' = 'n0';
...without success; although this query runs it returns nothing. Can anyone suggest how this might be done?
Create schema:
create table json (
id serial primary key,
data jsonb
);
insert into json (data) values (
'{ "elements": {
"nodes": [
{
"data": {
"name": "Name here",
"color": "#FFFFFF",
"id": "n0"
}
}
]
}
}
'::jsonb);
Query itself:
select * from json js,jsonb_array_elements(data->'elements'->'nodes') as node
where node->'data'->>'id' = 'n0';
Related
I am using Gatling to test an API that accepts a json body like below:
{
"data": {
"fields": [
{
"rank": 1
},
{
"name": "Jack"
}
]
}
}
I have created a file feeder.json that contains array of json objects like above.
Below is the feeder.json
[
{
"data": {
"fields": [
{
"rank": 1
},
{
"name": "Jack"
}
]
}
}
]
I have created another file template.txt that contains the template of above json.
Below is the template.txt
{
"data": {
"fields": [
{
"rank": ${data.fields[0].rank} //this is not working
},
{
"name": "Jack"
}
]
}
}
val jsonFeeder = jsonFile("feeder.json").circular
scenario("Test scenario")
.feed(jsonFeeder)
.exec(http("API call test")
.post("/data")
.body(ElFileBody("template.txt"))
.asJson
.check(status is 200))
I am feeding the feeder.json and also sending json body from template.json. The 'rank' property values should get set from feeder into the json body. But I am getting an error 'Map named 'data' does not contain key 'fields[0]'. Stuck with this.
Access by index syntax uses parens, not square braces.
#{data.fields(0).rank}
I have the following (simplified) jOOQ query:
val result = context.select(
jsonObject(
key("id").value(ITEM.ID),
key("title").value(ITEM.NAAM),
key("resources").value(
jsonArrayAgg(ITEM_INHOUD.RESOURCE_ID).absentOnNull()
)
)
).from(ITEM).fetch()
Now the output that I want is:
[
{
"id": "0da04cc5-f70c-4fb3-b5c7-dc645d342631",
"title": "Title1",
"resources": [
"8b0f6d5c-67fc-47ca-be77-d1735e7721ce",
"ea0316db-1cfd-46d7-8260-5c1a4e65a0cd"
]
},
{
"id": "0f7e67e6-5187-47e2-9f1d-dab08feba38b",
"title": "Title2"
}
]
result.formtJSON() gives the following output:
{
"fields": [
{
"name": "json_object",
"type": "JSON"
}
],
"records": [
[
{
"id": "0da04cc5-f70c-4fb3-b5c7-dc645d342631",
"title": "Title 1"
}
]
]
}
Disabling the headers with result.formatJSON(JSONFormat.DEFAULT_FOR_RECORDS) will get me:
[
[
{
"id": "0da04cc5-f70c-4fb3-b5c7-dc645d342631",
"title": "Title1",
"resources": [
"8b0f6d5c-67fc-47ca-be77-d1735e7721ce",
"ea0316db-1cfd-46d7-8260-5c1a4e65a0cd"
]
}
],
[
{
"id": "0f7e67e6-5187-47e2-9f1d-dab08feba38b",
"title": "Title2"
}
]
]
where I don't want the extra array.
Further customizing the JSONformatter with result.formatJSON(JSONFormat().header(false).recordFormat(JSONFormat.RecordFormat.OBJECT)) I get:
[
{
"json_object": {
"id": "0da04cc5-f70c-4fb3-b5c7-dc645d342631",
"title": "Title1",
"resources": [
"8b0f6d5c-67fc-47ca-be77-d1735e7721ce",
"ea0316db-1cfd-46d7-8260-5c1a4e65a0cd"
]
}
},
{
"json_object": {
"id": "0f7e67e6-5187-47e2-9f1d-dab08feba38b",
"title": "Title2"
}
}
]
where I don't want the object wrapped in json_object.
Is there a way to get the output I want?
Doing it with Result.formatJSON()
This is clearly a flaw in the jOOQ 3.14.0 implementation of Result.formatJSON(). In the special case where there is only one column, and that column is of type JSON or JSONB, the column name may not really matter, and thus its contents should be flattened into the object describing the row. I've created a feature request for this: https://github.com/jOOQ/jOOQ/issues/10953. It will be available in jOOQ 3.15.0 and 3.14.4. You will be able to do this:
result.formatJSON(JSONFormat().header(false).wrapSingleColumnRecords(false));
The RecordFormat is irrelevant here. This works the same way for RecordFormat.ARRAY and RecordFormat.OBJECT
Doing it directly with SQL
Of course, you can always work around this by moving all the logic into SQL. You probably simplified your query by omitting a JOIN and GROUP BY. I'm assuming this is equivalent to what you want:
JSON result = context.select(
jsonArrayAgg(jsonObject(
key("id").value(ITEM.ID),
key("title").value(ITEM.NAAM),
key("resources").value(
select(jsonArrayAgg(ITEM_INHOUD.RESOURCE_ID).absentOnNull())
.from(ITEM_INHOUD)
.where(ITEM_INHOUD.ITEM_ID.eq(ITEM.ID))
)
))
).from(ITEM).fetchSingle().value1()
Note that JSON_ARRAYAGG() aggregates empty sets into NULL, not into an empty []. If that's a problem, use COALESCE()
We are using postgres , in that we had a table containing column of type of JSON , in that we have below type of JSON documents ,
please find sample here
i want all the values of json key student_id from all the JSON docum
i mean we have such documents , for each row for that column and each document contains contains that JSON key , am trying to get all the values for that json key from all the documents(all rows for that column)
You are probably looking for json_array_elements.
Find everything you need in the json functions page.
For your sample you could do something like this:
select json_array_elements(json_array_elements('{
"srs_student_information": {
"header": {
"name": "kkkk"
},
"beginning_segment": {
"age": 12
},
"loop_id_sls": [{
"student_level_details": {
"class": "12"
},
"parent_details": [{
"name": "assa"
}],
"student_identification": [{
"student_id_qual": "BM",
"student_id": "00547311"
}, {
"student_id_qual": "CN",
"student_id": "467931496024"
}, {
"student_id_qual": "CN",
"student_id": "467931496035"
}, {
"student_id_qual": "CN",
"student_id": "467931496046"
}]
}]
}
}'::json->'srs_student_information'->'loop_id_sls')->'student_identification')->>'student_id' student_id
I have a json inside 'content' column in the following format:
{ "identifier": [
{
"type": {
"coding": [
{
"code": "MRN",
}
]
},
"value": "181"
},
{
"type": {
"coding": [
{
"code": "PID",
}
]
},
"value": "5d3669b0"
},
{
"type": {
"coding": [
{
"code": "IPN",
}
]
},
"value": "41806"
}
]}
I have to run an hive query to get the "value" of the code which is equal to "MRN".
I have written the following query but its not giving the value as expected:
select get_json_object(content,'$.identifier.value')as Mrn from Doctor where get_json_object(content,'$.identifier.type.coding.code') like '%MRN%'
I dont want to give particular array position like:
select get_json_object(content,'$.identifier[0].value')as Mrn from Doctor where get_json_object(content,'$.identifier[0].type.coding.code') like '%MRN%'
As the json gets created randomly and the position is not fixed always.
Give [ * ] to avoid giving position.
select get_json_object(content,'$.identifier[*].value')as Mrn from Doctor where get_json_object(content,'$.identifier[*].type.coding.code') like '%MRN%'
I'm after running into some trouble parsing a set of JSON documents using SQL Server 2017.
I've encountered a nested array (sample below) within a document which uses dynamic ObjectId's i.e. 123 as the object Key as opposed to using a static key i.e. Category and then having a separate key:value to ref the ObjectId.
As a result I can't extract the items to a table using the regular CROSS APPLY OPENJSON syntax without specifying each individual Object Id (there are thousands)?
Is there a way to do this without referencing each ObjectId explicitly ideally i'd like to return all product items in a table and just have a field withe the categoryId.
"ProductItems": {
"123": [
{
"item": "13663"
}
]
"124": [
{
"value": "2336"
},
{
"value": "3667"
}
],
"453": [
{
"value": "8667"
},
{
"value": "1956"
}
]
}
Try something like this:
DECLARE #x NVARCHAR(MAX)=
'{"ProductItems":{
"123": [
{
"item": "13663"
}
],
"124": [
{
"value": "2336"
},
{
"value": "3667"
}
],
"453": [
{
"value": "8667"
},
{
"value": "1956"
}
]
}}'
SELECT j2.*, j3.* FROM OPENJSON(#x) j1
CROSS APPLY OPENJSON(j1.Value) j2
CROSS APPLY OPENJSON(j2.Value) j3