I have sample data in a SQL Server table in the following format
CREATE TABLE #tempA
(
HomeId int IDENTITY PRIMARY KEY,
City nvarchar(20),
State nchar(2),
Email VARCHAR(50)
);
INSERT INTO #tempA (City, State, Email)
VALUES ('Cleveland', 'OH', 'sd#aol.com')
INSERT INTO #tempA (City, State, Email)
VALUES ('Malibu', 'CA', 'sd#aol.com')
INSERT INTO #tempA (City, State, Email)
VALUES ('Atlanta', 'GA', 'ploll#aol.com')
SELECT * FROM #tempA
I need a JSON output returned by a stored procedure in the following format, I am trying to group it by email field, I tried using JSON AUTO but not able to achieve in the following format ? Any tips?
[
{
"Email": "sd#aol.com",
"Tasks": [
{
"City": "Cleveland",
"State": "OH"
},
{
"City": "Malibu",
"State": "CA"
}
]
},
{
"Email": "ploll#aol.com",
"Tasks": [
{
"City": "Atlanta",
"State": "GA"
}
]
}
]
One method would be to use a subquery for the State and Email values and group on the email column in the outer query:
SELECT A.Email,
(SELECT B.City,
B.State
FROM #tempA B
WHERE A.Email = B.Email
ORDER BY B.City ASC
FOR JSON AUTO) AS Tasks
FROM #tempA A
GROUP BY A.Email
ORDER BY A.Email DESC
FOR JSON AUTO;
Which gives:
[
{
"Email": "sd#aol.com",
"Tasks": [
{
"City": "Cleveland",
"State": "OH"
},
{
"City": "Malibu",
"State": "CA"
}
]
},
{
"Email": "ploll#aol.com",
"Tasks": [
{
"City": "Atlanta",
"State": "GA"
}
]
}
]
Related
CREATE TABLE Log (
"Name" TEXT,
"Age" TEXT,
"Country" TEXT,
"Numbers" TEXT
);
SELECT "Country", "Numbers"
FROM json_populate_record( null:: log,
'{
"Name": "qazwsx",
"HostName": "Age",
"Address": {
"Country": "MNB",
"Numbers": [
{
"Cell": 7418520
}
]
}
}');
SELECT * FROM Log
DEMO: The response is always null. Is there any other trick to insert nested JSON into the table?
CREATE TABLE Log (
"Name" TEXT,
"Age" TEXT,
"Country" TEXT,
"Numbers" TEXT
);
INSERT INTO Log VALUES('Oslo', '12', 'No', '12');
SELECT jsonb_pretty(
json_build_object(
'Name',
'qazwsx',
'HostName',
"Age",
'Address',
json_build_object(
'Country',
'MNB',
'Numbers',
json_build_object('Cell',7418520)
)
)::jsonb
) AS Output
FROM Log;
Output:
{
"Name": "qazwsx",
"HostName": "12",
"Address": {
"Country": "MNB",
"Numbers": {
"Cell": 7418520
}
}
}
A quick and dirty example:
SELECT
json_extract_path_text('{"Name": "qazwsx","HostName": "Age","Address": {
"Country": "MNB", "Numbers": [{"Cell":7418520}]}}'::json, 'Address', 'Country') AS "Country",
json_extract_path_text('{"Name": "qazwsx","HostName": "Age","Address": {
"Country": "MNB", "Numbers": [{"Cell":7418520}]}}'::json, 'Address', 'Numbers') AS "Numbers";
Country | Numbers
---------+--------------------
"MNB" | [{"Cell":7418520}]
A little better version using the JSON path language from her JSON functions9.16.2. The SQL/JSON Path Language:
SELECT
t[0] AS "Country",
t[1] AS "Numbers"
FROM
jsonb_path_query_array('{"Name": "qazwsx","HostName": "Age","Address": {
"Country": "MNB", "Numbers": [{"Cell":7418520}]}}'::jsonb, '$.Address.*') AS t;
Country | Numbers
---------+---------------------
"MNB" | [{"Cell": 7418520}]
Though the above does depend on the ordering in the Address object staying the same.
CREATE TABLE Log (
"Name" TEXT,
"Age" TEXT,
"Country" TEXT,
"Numbers" TEXT
);
DECLARE
jsonstr text;
jsonobj jsonb;
jsonstr = '{
"Name": "qazwsx",
"HostName": "Age",
"Address": {
"Country": "MNB",
"Numbers": [
{
"Cell": 7418520
}
]
}
}';
SELECT jsonstr::json INTO jsonobj;
INSERT INTO
Log
SELECT
jsonobj->'Name',
jsonobj->'HostName'
((jsonobj->'Address')::json)->'Country',
(((jsonobj->'Address')::json)#>'{Numbers,0}')::json->'Cell';
SELECT * FROM Log
I have a Json like this in my JsonB column:
{
"emails": [
{
"email": {
"id": "a8399412-165e-4601-824f-a55f631ad471",
"value": "test#gmail.com"
}
},
{
"email": {
"id": "fa09d9a7-a36a-42a4-8627-66b7554ce82e",
"value": "test1#gmail.com"
}
}
],
"Address": [
{
"address": {
"id": "a8399412-165e-4601-824f-a55f631ad471",
"addressLine1": "Line1"
}
},
{
"address": {
"id": "fa09d9a7-a36a-42a4-8627-66b7554ce82e",
"addressLine2": "Line2"
}
}
],
"lastName": {
"id": "bc10a5a9-04ff-4a00-b167-ac3232e5cb89",
"value": "LastName"
},
"firstName": {
"id": "4ccdd400-2586-4a7f-9379-aff4d1f5d9d6",
"value": "FirstName"
}
}
and so on. My requirement to get list of elements as key and value pairs with limit, I did a research tried different functions of postgres and I wrote the below query :
select response.* from my_table t, jsonb_each_text(jsonb_column) as response;
If I do like this I'm getting only the root elements like emails, firstName and lastName, but I want inner elements as well along with their values like below :
Key | value
------- ---------
"email" : {"id": "a8399412-165e-4601-824f-a55f631ad471","value": "test#gmail.com"}
"email" : {"id": "fa09d9a7-a36a-42a4-8627-66b7554ce82e","value": "test1#gmail.com"}
"lastName" : {"id": "bc10a5a9-04ff-4a00-b167-ac3232e5cb89","value": "LastName"}
"firstName" : {"id": "4ccdd400-2586-4a7f-9379-aff4d1f5d9d6","value": "FirstName"}
"address" : {"id": "a8399412-165e-4601-824f-a55f631ad471", "addressLine1": "Line1"}
"address" : {"id": "a8399412-165e-4601-824f-a55f631ad471", "addressLine2": "Line2"}
You can use jsonb_array_elements() function, and combine queries by UNION ALL
SELECT 'email' AS key, je.* ->> 'email' AS value
FROM my_table
CROSS JOIN jsonb_array_elements(jsonb_column->'emails') AS je
UNION ALL
SELECT 'address', ja.* ->> 'address'
FROM my_table
CROSS JOIN jsonb_array_elements(jsonb_column->'Address') AS ja
UNION ALL
SELECT 'lastName', (jsonb_column->'lastName')::text
FROM my_table
UNION ALL
SELECT 'firstName', (jsonb_column->'firstName' )::text
FROM my_table
Demo
I am trying to remove the "attribute" from the output of Azure SQL for json path.
Consider the below test data:
create table test (country varchar(50), city varchar(50));
insert into test values ('US', 'New York');
insert into test values ('US', 'Las Vegas');
insert into test values ('France', 'Paris');
insert into test values ('Canada', 'Toranto');
insert into test values ('Canada', 'Vancouver');
The below SQL when run gives the output shown:
select DISTINCT country, (select city
from test b
where b.country=a.country
for json path
) as city
from test a
for json path;
Output:
[
{
"country": "Canada",
"city": [
{
"city": "Toranto"
},
{
"city": "Vancouver"
}
]
},
{
"country": "France",
"city": [
{
"city": "Paris"
}
]
},
{
"country": "US",
"city": [
{
"city": "New York"
},
{
"city": "Las Vegas"
}
]
}
]
However, I would like the output to be of the below form i.e. city attribute removed from the output and the values as an array
[
{
"country": "Canada",
"city": [
"Toranto"
, "Vancouver"
]
},
{
"country": "France",
"city": [
"Paris"
]
},
{
"country": "US",
"city": [
"New York"
,"Las Vegas"
]
}
]
Thanks
Check if the following works for you:
select DISTINCT country as country,json_query((select CONCAT('[','"', STRING_AGG(city, '","'), '"',']')
from test b
where b.country=a.country
)) as city
from test a
for json path
Example here.
I have a simple query in my database:
SELECT id, name FROM users FOR JSON AUTO, ROOT('users')
This returns the following JSON:
{
"users": [
{"id": "1", "name": "John"}
{"id": "2", "name": "Mike"}
]
}
I want to have the return with the following format:
{
"users": {
"list": [
{"id": "1", "name": "John"}
{"id": "2", "name": "Mike"}
]
}
}
Can I do this on SQL level by simply changing the query?
You may try with this:
Table:
CREATE TABLE users (
id varchar(1),
[name] varchar(50)
)
INSERT INTO users
(id, [name])
VALUES
('1', 'John'),
('2', 'Mike')
Statement:
SELECT users = (SELECT id, name FROM users FOR JSON AUTO, ROOT('list'))
FOR JSON PATH, WITHOUT_ARRAY_WRAPPER
Result:
{"users":{"list":[{"id":"1","name":"John"},{"id":"2","name":"Mike"}]}}
How can we use SQL to Convert a JSON statement into different tables?
For example we have JSON:
{"table1":
{"Name":"table1","Items":
[{"Id":1,"FirstName":"John",
"LastName":"Wen","Country":"UK",
"PostCode":1234,"Status":false,
"Date":"2018-09-18T08:30:32.91",}]},
"table2":
{"Name":"table2","Items":
[{"Id":1,"Name":"leo",
"StudentId":102,"CreatedDate":"2018-09-18","Location":"USA"}]}}
In the relational database, we will get two tables once the JSON is converted
For example, schema 'Table1':
Id FirstName LastName Country PostCode Status Date
1 John Wen UK 1234 false 2018-09-18T08:30:32.91
And the 'Table2' will look like:
Id Name StudentId CreateDate Location
1 Leo 102 2018-9-18 USA
Could anyone please give any advices on it.
You can do this using openjson and json_value functions. Try the following:
Declare #json nvarchar(max),#table1Items nvarchar(max), #table2Items nvarchar(max)
set #json='{
"table1": {
"Name": "table1",
"Items": [{
"Id": 1,
"FirstName": "John",
"LastName": "Wen",
"Country": "UK",
"PostCode": 1234,
"Status": false,
"Date": "2018-09-18T08:30:32.91"
}, {
"Id": 2,
"FirstName": "John1",
"LastName": "Wen1",
"Country": "UK1",
"PostCode": 12341,
"Status": true,
"Date": "2018-09-15T08:30:32.91"
}]
},
"table2": {
"Name": "table2",
"Items": [{
"Id": 1,
"Name": "leo",
"StudentId": 102,
"CreatedDate": "2018-09-18",
"Location": "USA"
}]
}
}'
set #table1Items=(select value from OpenJSON((select value from OpenJSON(#Json) where [key]='table1')) where [key]='Items')
set #table2Items=(select value from OpenJSON((select value from OpenJSON(#Json) where [key]='table2')) where [key]='Items')
--select for table 1
select JSON_VALUE(val,'$.Id') as ID,
JSON_VALUE(val,'$.FirstName') as FirstName,
JSON_VALUE(val,'$.LastName') as LastName,
JSON_VALUE(val,'$.Country') as Country,
JSON_VALUE(val,'$.PostCode') as PostCode,
JSON_VALUE(val,'$.Status') as Status,
JSON_VALUE(val,'$.Date') as Date
from
(
select value as val from openJSON(#table1Items)
) AS Table1JSON
--select for table 1
select JSON_VALUE(val,'$.Id') as ID,
JSON_VALUE(val,'$.Name') as FirstName,
JSON_VALUE(val,'$.StudentId') as LastName,
JSON_VALUE(val,'$.CreatedDate') as Country,
JSON_VALUE(val,'$.Location') as PostCode
from
(
select value as val from openJSON(#table2Items)
) AS Table2JSON
It is working exactly as you wanted. At the end, the two select statements return the tables as you mentioned. Just add them to your desired table using insert into select. I have also tried adding another object to table1 array and verified that it is working fine i.e. returning two rows for two objects. Hope this helps
If SQL Version 2016+ use OPENJSON AND with_clause:
https://learn.microsoft.com/en-us/sql/t-sql/functions/openjson-transact-sql?view=sql-server-2017
DECLARE #JsonData NVARCHAR(MAX);
SET #JsonData = N'
{
"table1": {
"Name": "table1",
"Items": [
{
"Id": 1,
"FirstName": "John",
"LastName": "Wen",
"Country": "UK",
"PostCode": 1234,
"Status": false,
"Date": "2018-09-18T08:30:32.91"
},
{
"Id": 2,
"FirstName": "John1",
"LastName": "Wen1",
"Country": "UK1",
"PostCode": 12341,
"Status": true,
"Date": "2018-09-15T08:30:32.91"
}
]
},
"table2": {
"Name": "table2",
"Items": [
{
"Id": 1,
"Name": "leo",
"StudentId": 102,
"CreatedDate": "2018-09-18",
"Location": "USA"
}
]
}
}
';
--Table1
SELECT [a].[Id]
, [a].[FistName]
, [a].[Lastname]
, [a].[Country]
, [a].[PostCode]
, [a].[Status]
, [a].[Date]
FROM
OPENJSON(#JsonData, '$.table1.Items')
WITH (
[Id] INT '$.Id'
, [FistName] NVARCHAR(200) '$.FirstName'
, [Lastname] NVARCHAR(200) '$.LastName'
, [Country] NVARCHAR(200) '$.Country'
, [PostCode] NVARCHAR(200) '$.PostCode'
, [Status] NVARCHAR(200) '$.Status'
, [Date] DATETIME '$.Date'
) [a];
--Table2
SELECT [a].[Id]
, [a].[Name]
, [a].[StudentId]
, [a].[CreatedDate]
, [a].[Location]
FROM
OPENJSON(#JsonData, '$.table2.Items')
WITH (
[Id] INT '$.Id'
, [Name] NVARCHAR(200) '$.Name'
, [StudentId] INT '$.StudentId'
, [CreatedDate] DATETIME '$.CreatedDate'
, [Location] NVARCHAR(200) '$.Location'
) [a];
Try using OPENJSON function in SQL Server:
ReferenceLink_1
ReferenceLink_2