In a MySQL database, grouping data by month and year can be achieved using the GROUP BY clause. This is especially useful when organizing data for structured JSON objects.
To format a query that fits into a specific JSON object format like the one provided, it's necessary to group the data by both the year and the month. The following query accomplishes this:
SELECT MONTHNAME(t.summaryDateTime) as month, YEAR(t.summaryDateTime) as year FROM trading_summary t GROUP BY YEAR(t.summaryDateTime), MONTH(t.summaryDateTime);
The GROUP BY clause groups the results by the year and month columns, essentially breaking the data down into distinct groups for each unique combination of year and month. This allows for the desired output format, where the results are organized into a nested JSON object.
In the provided JSON object, the outermost keys are the years, and the values are arrays of months. The GROUP BY clause used in the query ensures that the data is grouped in a way that aligns with this desired format. The MONTHNAME() and YEAR() functions extract the month name and year from the timestamp column, further refining the data for the specified JSON structure.
By using the appropriate GROUP BY clause, the query restructures the data according to the specified JSON format, enabling efficient organization and retrieval of information.
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