To solve this problem, we need to identify all dates that correspond to the highest value in the given table. If multiple dates share the highest value, we return all such dates ordered chronologically.
The solution involves three key steps:
value column using the MAX() aggregate function.value equals the computed maximum value.SELECT date
FROM data
WHERE value = (SELECT MAX(value) FROM data)
ORDER BY date ASC;
(SELECT MAX(value) FROM data) retrieves the highest value from the value column.value matches the maximum value obtained from the subquery.ORDER BY date ASC clause ensures the results are sorted in chronological order (since dates are stored in YYYY-MM-DD format, lexicographical order aligns with chronological order).This approach efficiently narrows down the relevant dates and ensures the output is correctly ordered, making it both optimal and easy to understand. The solution handles ties (multiple dates with the same maximum value) correctly by returning all such dates.
(免責(zé)聲明:本文為本網(wǎng)站出于傳播商業(yè)信息之目的進(jìn)行轉(zhuǎn)載發(fā)布,不代表本網(wǎng)站的觀點(diǎn)及立場(chǎng)。本文所涉文、圖、音視頻等資料的一切權(quán)利和法律責(zé)任歸材料提供方所有和承擔(dān)。本網(wǎng)站對(duì)此資訊文字、圖片等所有信息的真實(shí)性不作任何保證或承諾,亦不構(gòu)成任何購(gòu)買、投資等建議,據(jù)此操作者風(fēng)險(xiǎn)自擔(dān)。) 本文為轉(zhuǎn)載內(nèi)容,授權(quán)事宜請(qǐng)聯(lián)系原著作權(quán)人,如有侵權(quán),請(qǐng)聯(lián)系本網(wǎng)進(jìn)行刪除。