i have a json array like this:
[
{
"date": "26/11/2020 23:27",
"note": "test1"
},
{
"date": "22/11/2020 22:59",
"note": "test2"
},
{
"date": "18/11/2020 17:08",
"note": "test3"
}
]
I would like to take the element that has the most recent data.
My old query to get the first element was like that:
(notes\:\:json->0)\:\:json->>'note' as note,
(notes\:\:json->0)\:\:json->>'date' as date_note
step-by-step demo:db<>fiddle
SELECT
elem.value ->> 'date' as thedate,
elem.value ->> 'note' as note
FROM t,
json_array_elements(data) elem -- 1
WHERE id = 4123
ORDER BY to_timestamp(elem ->> 'date', 'DD/MM/YYYY HH24:MI') DESC -- 2
LIMIT 1 -- 3
Extract all array elements into one row
Read datetime string from date field, convert into timestamp and use it to order all array elements with most recent timestamp first
Just return the very first (= most recent) array element.
Related
Name
Date
Score
A
01-01-2023
100
A
01-01-2023
200
A
03-01-2023
300
B
02-01-2023
400
B
03-01-2023
100
B
03-01-2023
100
i have this table and i want to seperate it into multiple column of date and SUM the score on that date using Query Builder laravel or Raw SQL so it become like :
Name
Day 1
Day 2
Day 3
A
300
0
300
B
0
400
200
all of this is upto the current month so january until 31 and so on
You aren't providing anything like your attempted query, how you are passing the date ( it is a range, month only etc ), and your desired json ouput.
its hard to even assume how you are going to do things specially you are passing a column value as column name in your desired result (which doesn't make much sense with raw sql query unless those columns
aren't dynamic).
but to give you a starting point, you can simply group them by name, then date, then do another grouping by date in the collection
e.i;
$result = DB::table('table_name')->select([
'name',
'date',
])
->selectRaw('sum(score) AS score')
->groupBy(['name', 'date'])->get();
return $result->groupBy('date');
then you should be able to get result in a format like below;
{
"01-01-2023" : [
{
"name": "A",
"date": "01-01-2023",
"score": "300"
}
],
"02-01-2023" : [
{
"name": "A",
"date": "02-01-2023",
"score": "300"
}
{
"name": "B",
"date": "02-01-2023",
"score": "200"
}
],
"03-01-2023" : [
.
.
.
]
}
For you desired table result, thats better be changed to a dynamic rows instead of dynamic column
EDIT
In reference with Karl answer, you can loop through a date range and inject additional select statement.
e.i. current month dates
$dateRange = \Carbon\CarbonPeriod::create(now()->startOfMonth(), now()->endOfMonth() )->toArray();
$result = DB::table('table_name')->select(['name']);
foreach ($dateRange as $date) {
$dateFormat = $date->format('d-m-Y');
$day = $date->format('j');
$result->selectRaw("SUM(CASE WHEN Date = '$dateFormat' THEN Score ELSE 0 END) AS 'Day $day'");
}
return $result->groupBy('name')->get();
just to keep date in group by
->groupBy('date');
I'm trying to sum the contents of a json array in a mysql database, below is the JSON format and the query I'm running. Is there something wrong with it?
// Options JSON Format:
[
{
"optionId": 1,
"optionName": "With Meat",
"optionPrice": 2000
},
{
"optionId": 2,
"optionName": "With Veggies",
"optionPrice": 0
}
]
// Query:
SELECT id, SUM(options->'$[*].optionPrice') FROM table_order_items GROUP BY id;
The result is 0, when it should be 2000
While this query:
SELECT id, options->'$[*].optionPrice' FROM table_order_items;
correctly returns [2000,0]
You need the function JSON_TABLE() to extract the prices:
SELECT t.id,
SUM(j.price) AS total
FROM table_order_items t
JOIN JSON_TABLE(
t.options,
'$[*]' COLUMNS(price INT PATH '$.optionPrice')
) j
GROUP BY t.id;
See the demo.
Lets say I have this Json and I would like to retrieve all the age values where the name equals Chris in the Array key.
{
"Array": [
{
"age": "65",
"name": "Chris"
},
{
"age": "20",
"name": "Mark"
},
{
"age": "23",
"name": "Chris"
}
]
}
That Json is present in the Json column inside my database.
by that I would like to retrieve one age column the has the age 65 and 23 because they both named Chris.
Use json_each() table-valued function to extract all the names and ages from the json array of each row of the table and json_extract() function to filter the rows for 'Chris' and get his age:
SELECT json_extract(j.value, '$.name') name,
json_extract(j.value, '$.age') age
FROM tablename t JOIN json_each(t.col, "$.Array") j
WHERE json_extract(j.value, '$.name') = 'Chris';
Change col to the name of the json column.
See the demo.
I've got a JSON column containing an array of items:
[
{
"type": "banana"
},
{
"type": "apple"
},
{
"type": "orange"
}
]
I want to select one column with a concatenated type, resulting in 'banana, apple, orange'.
Thanks,
David
You need to parse and aggregate the stored JSON:
SELECT
JsonColumn,
NewColumn = (
SELECT STRING_AGG(JSON_VALUE([value], '$.type'), ',')
WITHIN GROUP (ORDER BY CONVERT(int, [key]))
FROM OPENJSON(t.JsonColumn)
)
FROM (VALUES
('[{"type":"banana"},{"type":"apple"},{"type":"orange"}]')
) t (JsonColumn)
Result:
JsonColumn
NewColumn
[{"type":"banana"},{"type":"apple"},{"type":"orange"}]
banana,apple,orange
I have the following values inside a cell of a json column in MySql:
{
"produttori": [
"8",
"9"
],
"articoli_alternativi": [
"3",
"9"
],
"articoli_accessori": [
"5",
"6",
"7",
"8"
],
"tecnologie": [],
"fornitori": [
"9",
"8"
],
"classificazioni": [
"3",
"4"
]
}
I would like to make a query that extracts data based on the existence of a value in the array at the fornitori key.
For now I've tried this:
query = 'SELECT nome, formulati_commerciali FROM articolo WHERE JSON_CONTAINS(JSON_EXTRACT(dati, "$.fornitori"), "' + \
value+'", "$")'
Which print is:
SELECT name, data FROM articolo WHERE JSON_CONTAINS(JSON_EXTRACT(data, "$.fornitori"), "8", "$")
Basically the condition is that value ("8") must be inside the fornitori list, otherwise skips the element.
Unfortunately, the query did not produce any results.
I would like to know how you can formulate such a query in MySql. I will need them often!
Thanks in advance!
This should do it:
SELECT name, data
FROM articolo
WHERE JSON_CONTAINS(data, '"8"', '$.fornitori')
The double quotes around 8 are important, in order to properly match the JSON data. On the other hand, the query consistently uses single quotes for string literals.
You can use
SELECT data
FROM
(
SELECT #i := #i + 1 AS rn,
JSON_UNQUOTE(JSON_EXTRACT(data,CONCAT('$.fornitori[',#i-1,']'))) AS elm,
data
FROM information_schema.tables
CROSS JOIN articolo
CROSS JOIN (SELECT #i := 0) r
) q
WHERE elm = 8
in order to search for the spesific value within a spesific
array("fornitori")
Demo