官方解答|區域每日高點次數
官方解答|區域每日高點次數
解題目標
每個 day 找最高有效 reading,所有平手原紀錄都算一次,再依 zone 計算每日高點命中數;全缺值日不產生高點。
查詢步驟
WITH 將資料整理成命名階段;逐階段確認分組、去重與列數,最後再做篩選、連接或視窗。不可假定 CTE 會按撰寫順序實體執行。 依序輸出欄位 zone, peak_count。最終排序:zone 升序,NULL 最後。
正確性
各階段分別實現指定篩列、數值或分組規則。每個保留項目只貢獻題意要求的次數;未配對、缺值與平手依明文規則處理。最後固定別名及排序,因而得到要求的列數、欄位順序與內容。
NULL 與邊界
NULL 表示缺值,不等於 0 或空字串。WHERE/HAVING 只保留真值,假或未知皆排除;一般等號不匹配 NULL。算術操作數缺值時結果為 NULL,除非題目指定備援規則。COUNT(欄位)、SUM、AVG、MIN、MAX 忽略該欄 NULL;COUNT(*) 計算列數。未要求分組或去重時保留所有重複紀錄。空結果仍須具有指定欄名。 每個 day 找最高有效 reading,所有平手原紀錄都算一次,再依 zone 計算每日高點命中數;全缺值日不產生高點。
公開範例
fixture 為 {"tables":[{"name":"readings","columns":[{"name":"id","type":"INTEGER","nullable":false},{"name":"zone","type":"TEXT","nullable":true},{"name":"reading","type":"INTEGER","nullable":true},{"name":"weight","type":"INTEGER","nullable":true},{"name":"flag","type":"INTEGER","nullable":true},{"name":"day","type":"INTEGER","nullable":false},{"name":"label","type":"TEXT","nullable":true}],"rows":[[21,"north",7,null,null,2,"a"],[41,"south",-2,0,1,4,null],[11,"west",null,4,0,2,"beta"],[31,"north",3,2,1,1,"alpha"]]},{"name":"stations","columns":[{"name":"station_id","type":"INTEGER","nullable":false},{"name":"zone","type":"TEXT","nullable":true},{"name":"target","type":"INTEGER","nullable":true},{"name":"enabled","type":"INTEGER","nullable":true}],"rows":[[9,"north",5,1],[7,"south",null,1],[12,"east",2,null],[3,"north",7,0]]},{"name":"left_samples","columns":[{"name":"id","type":"INTEGER","nullable":false},{"name":"zone","type":"TEXT","nullable":true},{"name":"reading","type":"INTEGER","nullable":true},{"name":"weight","type":"INTEGER","nullable":true},{"name":"flag","type":"INTEGER","nullable":true},{"name":"day","type":"INTEGER","nullable":false},{"name":"label","type":"TEXT","nullable":true}],"rows":[[11,"west",null,4,0,2,"beta"],[21,"north",7,null,null,2,"a"],[51,null,5,1,0,8,"ab"],[41,"south",-2,0,1,4,null],[31,"north",3,2,1,1,"alpha"]]},{"name":"right_samples","columns":[{"name":"id","type":"INTEGER","nullable":false},{"name":"zone","type":"TEXT","nullable":true},{"name":"reading","type":"INTEGER","nullable":true},{"name":"weight","type":"INTEGER","nullable":true},{"name":"flag","type":"INTEGER","nullable":true},{"name":"day","type":"INTEGER","nullable":false},{"name":"label","type":"TEXT","nullable":true}],"rows":[[32,"east",5,null,null,5,"a"],[42,"south",5,0,1,4,null],[22,"west",null,4,0,2,"beta"],[12,"north",7,1,1,2,"alpha"]]}]}。按題意處理並完成排序後得到 {"columns":["zone","peak_count"],"rows":[["north",2],["south",1]]}。即使沒有結果列,也必須保留指定欄名。
複雜度
設所有輸入列合計為 n、輸出/中間配對數為 k。沒有索引時,多表或相關子查詢的保守參考成本可達 O(n²),再以比較排序處理 k 列需 O(k log(k+1)),暫存資料最多與輸入及中間結果同階。最佳化器可能使用雜湊、索引或重寫降低成本;CTE 的寫法本身不保證實體暫存。
三種方言
下方分別提供完整 SQLite、PostgreSQL、MySQL 查詢。文字排序明寫二進位/字元碼排序;本題 ASCII 域中 SQLite LENGTH 對應其他引擎 CHAR_LENGTH。SQL NULL 輸出 JSON null,不輸出文字 "NULL"。
CodeSprout 官方解答 · 題意分析、解題步驟與完整參考程式
MySQL
WITH peaks AS (SELECT day,MAX(reading) AS peak FROM readings GROUP BY day), peak_rows AS (SELECT r.zone FROM readings r JOIN peaks p ON r.day=p.day AND r.reading=p.peak)
SELECT zone AS zone, peak_count AS peak_count
FROM (
SELECT zone AS zone, COUNT(*) AS peak_count
FROM peak_rows
GROUP BY zone
) query_result
ORDER BY CASE WHEN zone IS NULL THEN 1 ELSE 0 END ASC, zone COLLATE utf8mb4_bin ASC;SQLite
WITH peaks AS (SELECT day,MAX(reading) AS peak FROM readings GROUP BY day), peak_rows AS (SELECT r.zone FROM readings r JOIN peaks p ON r.day=p.day AND r.reading=p.peak)
SELECT zone AS zone, peak_count AS peak_count
FROM (
SELECT zone AS zone, COUNT(*) AS peak_count
FROM peak_rows
GROUP BY zone
) query_result
ORDER BY CASE WHEN zone IS NULL THEN 1 ELSE 0 END ASC, zone COLLATE BINARY ASC;PostgreSQL
WITH peaks AS (SELECT day,MAX(reading) AS peak FROM readings GROUP BY day), peak_rows AS (SELECT r.zone FROM readings r JOIN peaks p ON r.day=p.day AND r.reading=p.peak)
SELECT zone AS zone, peak_count AS peak_count
FROM (
SELECT zone AS zone, COUNT(*) AS peak_count
FROM peak_rows
GROUP BY zone
) query_result
ORDER BY CASE WHEN zone IS NULL THEN 1 ELSE 0 END ASC, zone COLLATE "C" ASC;
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