I have below table, This table has millions of records based on timestamp.
When I run below query,
Select datetime, Rupee, Yen
from currency
where datetime between value1 and value2
I get following result
Now it gets converted to JSON format, I get below result,
[
{
"datetime": "2019-02-16T10:40:00.000Z",
"Rupee": 10,
"Yen": 60
},
{
"datetime": "2019-24-16T10:50:00.000Z",
"Rupee": 30,
"Yen": 70
},
{
"datetime": "2019-02-16T10:55:00.000Z",
"Rupee": 40,
"Yen": 80
},
{
"datetime": "2019-02-16T10:58:00.000Z",
"Rupee": 50,
"Yen": 90
}
]
BUT I want to transform the result to below format,
[
{
"currency": "Rupee",
"timeseriesdata": [
["2019-02-16T10:40:00.000Z",10],
["2019-24-16T10:50:00.000Z", 30],
["2019-02-16T10:55:00.000Z", 40],
["2019-02-16T10:58:00.000Z", 50]
]
},
{
"currency": "Yen",
"timeseriesdata": [
["2019-02-16T10:40:00.000Z",60],
["2019-24-16T10:50:00.000Z", 70],
["2019-02-16T10:55:00.000Z", 80],
["2019-02-16T10:58:00.000Z", 90]
]
}
]
Is there any way to do it using MYSQL query/stored procedure/functions ? is it even possible ?
Pls note I can transform it in Node/Javascript but returned result set would contain million of records with hundred of currencies in real life scenario. So I don't think it makes sense to convert it in Node/Javascript. OR I don't know how should I deal with this scenario.