I have a table structure like this:
I want to create a JSON out of this table in this form:
{
"EntityId": 100000,
"Years": [
{
"Year": 2008,
"Monthly": [
{
"Month": 1,
"Count1": 49,
"Count2": 2
},
{
"Month": 2,
"Count1": 45,
"Count2": 1
},
.
.
.
]
},
{
"Year": 2009,
"Monthly": [
{
"Month": 1,
"Count1": 36,
"Count2": 1
},
{
"Month": 2,
"Count1": 33,
"Count2": 0
},
.
.
.
]
},
.
.
.
.
]
}
This table will always be queried for a single EntityId.
I am not able to nest my arrays also the years are repeating (the number of times the year gets repeated is the number of months inside that year, so if I have 12 months of data for the year 2008 then this year's data gets repeated 12 times) when I try the below query:
select f.EntityId,
(
select TOP 1 [year] as [year],
(
select [month] as [month],
[count1] as [count1],
[count2] as [count2],
from someTable m
where m.EntityId = f.EntityId and m.Year = y.Year
for json path
) as [months]
from someTable y
where y.EntityId = f.EntityId and y.Year = f.Year
for json path
) AS years
from someTable f
where f.EntityId = f.EntityId
for json path
Try this.
SELECT
OuterData1,
OuterData2,
,(SELECT InnerData1, InnerData2
FROM Table2
FOR JSON PATH) InnerJson
OuterData3,
OuterData4
FROM Table1
FOR JSON PATH
Related
I have a list ob objects. Each object contains several properties. Now I want to make a SELECT statement that gives me a list of a single property values. The simplified list look like this:
[
[
{
"day": "2021-10-01",
"entries": [
{
"name": "Start of competition",
"startTimeDelta": "08:30:00"
}
]
},
{
"day": "2021-10-02",
"entries": [
{
"name": "Start of competition",
"startTimeDelta": "03:30:00"
}
]
},
{
"day": "2021-10-03",
"entries": [
{
"name": "Start of competition"
}
]
}
]
]
The working SELECT is now
SELECT
JSON_EXTRACT(column, '$.days[*].entries[0].startTimeDelta') AS list
FROM table
The returned result is
[
"08:30:00",
"03:30:00"
]
But what I want to get (and also have expected) is
[
"08:30:00",
"03:30:00",
null
]
What can I do or how can I change the SELECT statement so that I also get NULL values in the list?
SELECT startTimeDelta
FROM test
CROSS JOIN JSON_TABLE(val,
'$[*][*].entries[*]' COLUMNS (startTimeDelta TIME PATH '$.startTimeDelta')) jsontable
https://dbfiddle.uk/?rdbms=mysql_8.0&fiddle=491f0f978d200a8a8522e3200509460e
Do you also have a working idea for MySQL< 8? – Lars
What is max amount of objects in the array on the 2nd level? – Akina
Well it's usually less than 10 – Lars
SELECT JSON_EXTRACT(val, CONCAT('$[0][', num, '].entries[0].startTimeDelta')) startTimeDelta
FROM test
-- up to 4 - increase if needed
CROSS JOIN (SELECT 0 num UNION SELECT 1 UNION SELECT 2 UNION SELECT 3) nums
WHERE JSON_EXTRACT(val, CONCAT('$[0][', num, '].entries[0]')) IS NOT NULL;
https://www.db-fiddle.com/f/xnCCSTGQXevcpfPH1GAbUo/0
So, I have a simple view that looks like this:
Name | Type | Product | QuantitySold
------------------------------------------------------
Walmart | Big Store | Gummy Bears | 10
Walmart | Big Store | Toothbrush | 6
Target | Small Store | Toothbrush | 2
Without using nested queries, using sql's FOR JSON clause, can this be easily converted to this json.
[
{
"Type": "Big Store",
"Stores": [
{
"Name": "Walmart",
"Products": [
{
"Name": "Gummy Bears",
"QuantitySold": 10
},
{
"Name": "Toothbrush",
"QuantitySold": 6
}
]
}
]
},
{
"Type": "Smaller Store",
"Stores": [
{
"Name": "Target",
"Products": [
{
"Name": "Toothbrush",
"QuantitySold": 2
}
]
}
]
}
]
Essentially Group by Type, Store then, line items. My attempt so far below. Not sure how to properly group the rows.
SELECT Type, (
SELECT Store,
(SELECT Product,QuantitySold from MyTable m3 where m3.id=m2.id for json path) as Products
FROM MyTable m2 where m1.ID = m2.ID for json path) as Stores
) as Types FROM MyTable m1
You can try something like this:
DECLARE #Data TABLE (
Name VARCHAR(20), Type VARCHAR(20), Product VARCHAR(20), QuantitySold INT
);
INSERT INTO #Data ( Name, Type, Product, QuantitySold ) VALUES
( 'Walmart', 'Big Store', 'Gummy Bears', 10 ),
( 'Walmart', 'Big Store', 'Toothbrush', 6 ),
( 'Target', 'Small Store', 'Toothbrush', 2 );
SELECT DISTINCT
t.[Type],
Stores
FROM #Data AS t
OUTER APPLY (
SELECT (
SELECT DISTINCT [Name], Products FROM #Data x
OUTER APPLY (
SELECT (
SELECT Product AS [Name], QuantitySold FROM #Data n WHERE n.[Name] = x.[Name]
FOR JSON PATH
) AS Products
) AS p
WHERE x.[Type] = t.[Type]
FOR JSON PATH
) AS Stores
) AS Stores
ORDER BY [Type]
FOR JSON PATH;
Returns
[{
"Type": "Big Store",
"Stores": [{
"Name": "Walmart",
"Products": [{
"Name": "Gummy Bears",
"QuantitySold": 10
}, {
"Name": "Toothbrush",
"QuantitySold": 6
}]
}]
}, {
"Type": "Small Store",
"Stores": [{
"Name": "Target",
"Products": [{
"Name": "Toothbrush",
"QuantitySold": 2
}]
}]
}]
If you had normalized data structure you could use a another approach.
--Let's assume that Types are stored like this
DECLARE #Types TABLE (
id int,
Type nvarchar(20)
);
INSERT INTO #Types VALUES (1, N'Big Store'), (2, N'Small Store');
--Stores in separate table
DECLARE #Stores TABLE (
id int,
Name nvarchar(10),
TypeId int
);
INSERT INTO #Stores VALUES (1, N'Walmart', 1), (2, N'Target', 2),
(3, N'Tesco', 2); -- I added one more just for fun
--Products table
DECLARE #Products TABLE (
id int,
Name nvarchar(20)
);
INSERT INTO #Products VALUES (1, N'Gummy Bears'), (2, N'Toothbrush'),
(3, N'Milk'), (4, N'Ball') -- Added some here
-- And here comes the sales
DECLARE #Sales TABLE (
StoreId int,
ProductId int,
QuantitySold int
);
INSERT INTO #Sales VALUES (1, 1, 10), (1, 2, 6), (2, 2, 2),
(3, 4, 15), (3, 3, 7); -- I added few more
Now we can join the tables a get result that you need
SELECT Type = Type.Type,
Name = [Stores].Name,
Name = Products.Product,
QuantitySold = Products.QuantitySold
FROM (
SELECT s.StoreId,
p.Name Product,
s.QuantitySold
FROM #Sales s
INNER JOIN #Products p
ON p.id = s.ProductId
) Products
INNER JOIN #Stores Stores
ON Stores.Id = Products.StoreId
INNER JOIN #Types [Type]
ON Stores.TypeId = [Type].id
ORDER BY Type.Type, [Stores].Name
FOR JSON AUTO;
Output:
[
{
"Type": "Big Store",
"Stores": [
{
"Name": "Walmart",
"Products": [
{
"Name": "Gummy Bears",
"QuantitySold": 10
},
{
"Name": "Toothbrush",
"QuantitySold": 6
}
]
}
]
},
{
"Type": "Small Store",
"Stores": [
{
"Name": "Target",
"Products": [
{
"Name": "Toothbrush",
"QuantitySold": 2
}
]
},
{
"Name": "Tesco",
"Products": [
{
"Name": "Ball",
"QuantitySold": 15
},
{
"Name": "Milk",
"QuantitySold": 7
}
]
}
]
}
]
I've got four tables in a PostgreSQL db.
user which holds information about a logged in user.
project which holds information about projects created.
userprojects as a joined table between users and projects (one user can belong to many projects and one project can have many users).
timesheet which is where users log their hours - has relation to user_id and project_id and people log their time and date in duration and date columns.
The timesheet table itself stores data as such:
id, user_id, date, duration, project_id
1, 1, "2019-02-01", 8, 1
2, 1, "2019-02-02", 8, 1
3, 2, "2019-02-01", 10, 1
I wish to find a nice way of returning the sum of values for each month from the timesheet table for easy frontend parsing and loading that data into a chart.
What I'm looking for is something along the lines of:
{
"users": [
{
"user_id": "1",
"projects": [
{
"project_id": 1,
"sum": [
{
"august": 18
},
{
"september": 20
}
]
},
{
"project_id": 2,
"sum": [
{
"august": 25
},
{
"september": 10
}
]
}
]
},
{
"user_id": "2",
"projects": [
{
"project_id": 2,
"sum": [
{
"august": 40
},
{
"september": 100
}
]
},
{
"project_id": 3,
"sum": [
{
"august": 30
},
{
"september": 25
}
]
}
]
},
]
}
I've found a neat query which kinda structures the data a bit, but still not ideally:
SELECT
project.name,
to_char(date_trunc('month', date), 'YYYY') AS year,
to_char(date_trunc('month', date), 'Mon') AS month,
to_char(date_trunc('month', date), 'MM') AS month_number,
sum(duration) AS monthly_sum
FROM timesheet INNER JOIN project ON timesheet.project_id = project.id
GROUP BY year, month, month_number, project.name
This query simply returns a table that looks something like:
name: year: month: month_number: monthly_sum
Project XX 2019 Aug 08 10,
Project YY 2019 Aug 08 30,
Project YY 2019 Sep 09 20
How would you guys go around formatting the timesheet table so I can easily display the summed value on a month by month basis?
I have these tables:
products
stores
produuctProperties
with this structure
[
"products" :
{
"id": 1,
"orginalName": "146153-0100 ",
"title": null,
"stores": [
{
"id": 1,
"stock": 100,
"minOQ": 1,
"maxOQ": 0
},
{
"id": 2,
"stock": 100,
"minOQ": 1,
"maxOQ": 0,
}
],
"productproperties": [
{
"id": 1,
"productId": 1,
"propertyId": 8,
"propertyOptionId": 5
},
{
"id": 2,
"productId": 1,
"propertyId": 9,
"propertyOptionId": 11
},
{
"id": 3,
"productId": 1,
"propertyId": 10,
"propertyOptionId": 9
}
]
}
]
I want filter my products by selected options , Suppose the selected options are 11 and 9
how to implement below sql query in Sequelize 5.6 with findAll , where and... :
select * from products as p
inner join stores as sr on sr.productId = p.id
where (select count(*) from productProperties where propertyOptionId in (11,9) and productId = p.id) >= 2
I've found that using query builder in sequelize is really confusing,
so if you're good with raw sql you could just run them on as below
if Student is you're model
then
const students = Student.query('Select * from students');
How to get aggregate SUM(amount) from "refunds" array in postgres json select
Following is my data schema and structure:
Table Name: transactions
Column name: data
{
"id": "tran_6ac25129951962e99f28fa488993",
"amount": 1200,
"origin_amount": 3900,
"status": "partial_refunded",
"description": "Subscription#sub_a67d59efb2bcbf73485a ",
"livemode": false,
"refunds": [
{
"id": "refund_ee4192ffb6d2caa490a1",
"amount": 1200,
"status": "refunded",
"created_at": 1426412340,
"updated_at": 1426412340,
},
{
"id": "refund_0e4a34e4ee7281d369df",
"amount": 1500,
"status": "refunded",
"created_at": 1426412353,
"updated_at": 1426412353,
}
]
}
Out put should be: 1200+1500 = 2700
Output
|---------
|total
|---------
|2700
Please provide global solution and not with static data
This should work on 9.3+
WITH x AS( SELECT
'{
"id": "tran_6ac25129951962e99f28fa488993",
"amount": 1200,
"origin_amount": 3900,
"status": "partial_refunded",
"description": "Subscription#sub_a67d59efb2bcbf73485a ",
"livemode": false,
"refunds": [
{
"id": "refund_ee4192ffb6d2caa490a1",
"amount": 1200,
"status": "refunded",
"created_at": 1426412340,
"updated_at": 1426412340
},
{
"id": "refund_0e4a34e4ee7281d369df",
"amount": 1500,
"status": "refunded",
"created_at": 1426412353,
"updated_at": 1426412353
}
]
}'::json as y),
refunds AS(
SELECT json_array_elements(y->'refunds') as j FROM x)
SELECT sum((j->>'amount')::int) FROM refunds;
WITH AllRefunds AS ( SELECT jsonb_array_elements(data->'refunds') AS refund FROM transactions)
SELECT SUM( CAST ( refund ->> 'amount' AS INTEGER )) FROM AllRefunds;
If you need to know how the query is built:
1.
WITH AllRefunds AS ( SELECT jsonb_array_elements(data->'refunds') FROM transactions)
SELECT * FROM AllRefunds;
This selects all elements as JSON objects (done via ->) from the array refunds that were found in transactions table and stores it in a new table AllRefunds. This new table only consists of one unnamed column.
2.
WITH AllRefunds AS ( SELECT jsonb_array_elements(data->'refunds') AS refund FROM transactions)
SELECT * FROM AllRefunds;
Here the added (second) AS renames the currently unnamed column inside AllRefunds to refund
3.
WITH AllRefunds AS ( SELECT jsonb_array_elements(data->'refunds') AS refund FROM transactions)
SELECT SUM( CAST ( refund ->> 'amount' AS INTEGER )) FROM AllRefunds;
Our array entries are JSON objects. So we return the field amount as a simple string with ->> that we then cast to Integers and SUM all entries up.