In a table, I store multiple string records in several records.
declare #x nvarchar(max) = {
"totalSize": 1000,
"done": true,
"records": [
{
"attributes": {
"type": "Contract",
"url": ""
},
"Name": "Harpy",
"Job_Schedule_Date__c": null,
"EndDate": "2021-03-24",
"Account": {
"attributes": {
"type": "Account",
"url": ""
},
"Name": "Madison"
},
"ContractNumber": "12345",
"Related_Site__r": {
"attributes": {
"type": "Site__c",
"url": ""
},
"Name": "Jackson"
}
},
.
.
.
]
}
select * from openJson(#x, '$.records')
I am trying to use open JSON to unpack the records.
I am able to unpack a single record, but it doesn't unpack them into columns and need to unpack multiple records and join them.
Since each record only stores 1000 records, I need to join them up.
What I want is output like below as a Select
Name, Job_Schedule_Date__c, EndDate, AccountName, ContractNumber, RelatedSiteName
Harpy, null, 2021-03-24, Madison, 12345, Jackson
Related
A table I called raw_data with three columns: ID, timestamp, payload, the column paylod is a json type having values such as:
{
"data": {
"author_id": "1461871206425108480",
"created_at": "2022-08-17T23:19:14.000Z",
"geo": {
"coordinates": {
"type": "Point",
"coordinates": [
-0.1094,
51.5141
]
},
"place_id": "3eb2c704fe8a50cb"
},
"id": "1560043605762392066",
"text": " ALWAYS # London, United Kingdom"
},
"matching_rules": [
{
"id": "1560042248007458817",
"tag": "london-paris"
}
]
}
From this I want to select rows where the coordinates is available, such as [-0.1094,51.5141]in this case.
SELECT *
FROM raw_data, json_each(payload)
WHERE json_extract(json_each.value, '$.data.geo.') IS NOT NULL
LIMIT 20;
Nothing was returned.
EDIT
NOT ALL json objects have the coordinates node. For example this value:
{
"data": {
"author_id": "1556031969062010881",
"created_at": "2022-08-18T01:42:21.000Z",
"geo": {
"place_id": "006c6743642cb09c"
},
"id": "1560079621017796609",
"text": "Dear Desperate sister say husband no dey oo."
},
"matching_rules": [
{
"id": "1560077018183630848",
"tag": "kaduna-kano-katsina-dutse-zaria"
}
]
}
The correct path is '$.data.geo.coordinates.coordinates' and there is no need for json_each():
SELECT *
FROM raw_data
WHERE json_extract(payload, '$.data.geo.coordinates.coordinates') IS NOT NULL;
See the demo.
I have two tables: users table with id, name columns and events table with id, content and userId columns.
I am trying to query a table that return joined information from these two tables with name and events columns where events would represent an array of content fields corresponding to a user.
This is the query I am running:
select
name, group_concat(content) as events
from
users
left join
events on id = userId
group by
userId
order by
id
However rows with null values are not being returned except of just one row. What am I doing wrong?
Users table
[
{
"id": 1,
"name": "Hugo Powlowski"
},
{
"id": 2,
"name": "Jeremy Littel II"
},
{
"id": 3,
"name": "Eleanor King"
},
{
"id": 4,
"name": "Rogelio Jacobson"
},
{
"id": 5,
"name": "Jerald Rowe PhD"
},
{
"id": 6,
"name": "Robyn Tromp"
},
{
"id": 7,
"name": "Norman Zboncak"
},
{
"id": 8,
"name": "Mr. Kristy Orn"
},
{
"id": 9,
"name": "Mrs. Olivia Trantow"
},
{
"id": 10,
"name": "Daniel Lebsack"
}
]
Events table
[
{
"eventId": 3,
"content": "hello",
"userId": 7
},
{
"eventId": 12,
"content": "rulsan berden",
"userId": 1
}
]
Joined table
[
{
"name": "Hugo Powlowski",
"events": "rulsan berden"
},
{
"name": "Jeremy Littel II",
"events": null
},
{
"name": "Norman Zboncak",
"events": "hello"
}
]
You should group by the column in the parent table, not the table being left joined, so that the values will never be null.
So change GROUP BY userid to GROUP BY users.id.
Try to use a nested SELECT, this should return null for the users without any event:
select
u.name,
SELECT(
group_concat(content)
FROM
events
WHERE
userId = u.id
) as events
from
users u
order by
u.id
I am using FOR JSON AUTO in SQL server database, to convert my query's result to the JSON format.
in my query, I joined order table to two other tables.
SELECT
orders.[Code], orders.[Total], orders.[Discount],
customer.[Name], customer.[PhoneNumber],
store.[Name], store.[Address]
FROM
Orders orders
INNER JOIN
Customers customer ON (orders.[CustomerID] = customer.[ID])
INNER JOIN
Stores store ON (orders.[StoreID] = store.[ID])
FOR JSON AUTO
Result:
[
{
"Code": "1528",
"Total": 5000,
"Discount": 20,
"customer": [
{
"Name": "Alex",
"PhoneNumber": "(548) 123-5555",
"store": [
{
"Name": "Apple",
"Address": "E. Santa rd"
}
]
}
]
},
{
"Code": "1687",
"Total": 3000,
"Discount": 10,
"customer": [
{
"Name": "John",
"PhoneNumber": "(226) 354-7896",
"store": [
{
"Name": "Sony",
"Address": "W. Atlantic ave"
}
]
}
]
}
]
But it's not correct, because in this scenario customer and store are sibling and they have same parent, and both of them joined with the order table directly, correct JSON must be such as this:
[
{
"Code": "1528",
"Total": 5000,
"Discount": 20,
"customer": [
{
"Name": "Alex",
"PhoneNumber": "(548) 123-5555"
}
],
"store": [
{
"Name": "Apple",
"Address": "E. Santa rd"
}
]
},
{
"Code": "1687",
"Total": 3000,
"Discount": 10,
"customer": [
{
"Name": "John",
"PhoneNumber": "(226) 354-7896"
}
],
"store": [
{
"Name": "Sony",
"Address": "W. Atlantic ave"
}
]
}
]
how can I do that? Are there any option for this in SQL? (I don't want to use inner select.)
If there are one-to-one relationships between Orders and Customer and between Orders and Store then you can make the desired output by using PATH option and dot-separated column names:
SELECT
orders.[Code], orders.[Total], orders.[Discount],
customer.[Name] AS [Customer.Name], customer.[PhoneNumber] AS [Customer.PhoneNumber],
store.[Name] AS [Store.Name], store.[Address] AS [Store.Address]
FROM
Orders orders
INNER JOIN
Customers customer ON (orders.[CustomerID] = customer.[ID])
INNER JOIN
Stores store ON (orders.[StoreID] = store.[ID])
FOR JSON PATH
But if there are one-to-many relationships then you have to use nested queries:
SELECT
orders.[Code], orders.[Total], orders.[Discount],
(SELECT [Name], [PhoneNumber] FROM Customers WHERE Customers.ID=Orders.CustomerID FOR JSON AUTO) AS Customers,
(SELECT [Name], [Address] FROM Stores WHERE Stores.ID=Orders.StoreID FOR JSON AUTO) AS Stores
FROM
Orders orders
FOR JSON AUTO
I have the below Json object. How do I get the count of Object Array.
{
"Model": [
{
"ModelName": "Test Model",
"Object": [
{
"ID": 1,
"Name": "ABC"
},
{
"ID": 11,
"Name": "ABCD"
},
]
}]}
I tried the below query but seems JSON_Length was not available.
SELECT ModelName,
JSON_LENGTH(JsonData, '$.Model[0].Object')
FROM TabA
The expected output should be
ModelName COUNT
Test Model 2
If you have valid JSON (at the moment you have a trailing comma (,_ after one of your closing braces (})), then you could use OPENJSON and COUNT:
DECLARE #JSON nvarchar(MAX) = N'{
"Model": [
{
"ModelName": "Test Model",
"Object": [
{
"ID": 1,
"Name": "ABC"
},
{
"ID": 11,
"Name": "ABCD"
}
]
}]}';
SELECT M.ModelName,
COUNT(O.[key]) AS [Count]
FROM (VALUES(#JSON))V(J)
CROSS APPLY OPENJSON(V.J)
WITH(ModelName varchar(20) '$.Model[0].ModelName',
[Object] nvarchar(MAX) '$.Model[0].Object' AS JSON) M
CROSS APPLY OPENJSON(M.[Object]) O
GROUP BY M.ModelName;
I have a cosmosDB collection with below Data in it.
I have to find out the data only for EVENT named ABC and its value using SQL query.
[
{
"ID": "01XXXXX",
"EVENTS": [
{
"Name": "ABC",
"Value": 0
},
{
"Name": "XYZ",
"Value": 4
},
{
"Name": "PQR",
"Value": 5
}
]
},
{
"ID": "02XXXXX",
"EVENTS": [
{
"Name": "ABC",
"Value": 1
},
{
"Name": "XYZ",
"Value": 2
},
{
"Name": "PQR",
"Value": 3
}
]
}
]
I have tried the below code but it is not working since EVENT is an array.
SELECT * FROM c where c.EVENTS.Name = 'ABC'
Is there any way to find filter out the data only with Event Name as ABC using SQL?
Try using join
SELECT c FROM c
join l in c.EVENTS
where l.Name = 'ABC'