SQLite的：一个查询结果的汇总数据

Question

我有以下查询为我提供了最新的10条记录在数据库中：

SELECT 
    dpDate AS Date, 
    dpOpen AS Open, 
    dpHigh AS High, 
    dpLow AS Low, 
    dpClose AS Close 
FROM DailyPrices 
WHERE dpTicker = 'DL.AS' 
ORDER BY dpDate DESC 
LIMIT 10; 

此查询的结果如下：

bash-3.2$ sqlite3 myData < Queries/dailyprice.sql 
Date  Open  High  Low   Close  
---------- ---------- ---------- ---------- ---------- 
2016-06-13 4.0   4.009  3.885  3.933  
2016-06-10 4.23  4.236  4.05  4.08  
2016-06-09 4.375  4.43  4.221  4.231  
2016-06-08 4.406  4.474  4.322  4.35  
2016-06-07 4.377  4.466  4.369  4.384  
2016-06-06 4.327  4.437  4.321  4.353  
2016-06-03 4.34  4.428  4.316  4.335  
2016-06-02 4.434  4.51  4.403  4.446  
2016-06-01 4.51  4.512  4.317  4.399  
2016-05-31 4.613  4.67  4.502  4.526  
bash-3.2$ 

虽然我需要绘制所提取的数据，我还需要获得的数据集的以下摘要数据：

1. 最小日期==> 2016年5月31日
2. 最大日期==> 2016年6月13日
3. 在最小日期==>打开值4.613
4. 在最大日期==>关闭值3.933
5. 最大高柱==> 4.67
6. 最低低列==> 3.885

作为新手，我该如何解决这个问题？这可以在一个查询中完成吗？

感谢您指点我正确的方向。

此致

GAM

Answer 1

所需的输出可以与

• 聚集函数上一个方便的公用表表达式来实现，
  其使用的OP表达逐字
• OP的方法，limit 1适用于通用表格表格，
  用于取得m十天中铟酸和的maxDate

查询：

WITH Ten(Date,Open,High,Low,Close) AS 
(SELECT dpDate AS Date, 
     dpOpen AS Open, 
     dpHigh AS High, 
     dpLow AS Low, 
     dpClose AS Close 
FROM DailyPrices 
WHERE dpTicker = 'DL.AS' 
ORDER BY dpDate DESC LIMIT 10) 

SELECT min(Date) AS mindate, 
     max(Date) AS maxdate, 
     (SELECT Open FROM Ten ORDER BY Date ASC LIMIT 1) AS Open, 
     max(High) AS High, 
     min(Low) AS Low, 
     (SELECT Close FROM Ten ORDER BY Date DESC LIMIT 1) AS Close 
FROM Ten; 

输出（.headers on和.mode column）：

mindate  maxdate  Open  High  Low   Close 
---------- ---------- ---------- ---------- ---------- ---------- 
2016-05-31 2016-06-13 4.613  4.67  3.885  3.933 

注：
我觉得值的顺序中有机磷农药最后的评论与OP在前面的评论中的列顺序不匹配。
我选择了前面评论的顺序。
上次评论中的顺序在我看来是“mindate，maxdate，Open，Close，High，Low”。
将我建议的查询调整为该顺序很简单。

使用SQLite 3.18.0 2017年3月28日18点48分43秒

这里是我的玩具数据库，即我MCVE的.dump，在一些情况下，目前还不清楚。 （我没有输入许多小数位，它可能是一个浮点四舍五入的东西。）

PRAGMA foreign_keys=OFF; 
BEGIN TRANSACTION; 
CREATE TABLE dailyPrices (dpDate date, dpOpen float, dpHigh float, dpLow float, dpClose float, dpTicker varchar(10)); 
INSERT INTO dailyPrices(dpDate,dpOpen,dpHigh,dpLow,dpClose,dpTicker) VALUES('2016-06-13',4.0,4.009000000000000341,3.8849999999999997868,3.9329999999999998294,'DL.AS'); 
INSERT INTO dailyPrices(dpDate,dpOpen,dpHigh,dpLow,dpClose,dpTicker) VALUES('2016-06-10',4.2300000000000004263,4.2359999999999997655,4.0499999999999998223,4.080000000000000071,'DL.AS'); 
INSERT INTO dailyPrices(dpDate,dpOpen,dpHigh,dpLow,dpClose,dpTicker) VALUES('2016-06-09',4.375,4.4299999999999997157,4.2210000000000000852,4.2309999999999998721,'DL.AS'); 
INSERT INTO dailyPrices(dpDate,dpOpen,dpHigh,dpLow,dpClose,dpTicker) VALUES('2016-06-08',4.4059999999999996944,4.4740000000000001989,4.3220000000000000639,4.3499999999999996447,'DL.AS'); 
INSERT INTO dailyPrices(dpDate,dpOpen,dpHigh,dpLow,dpClose,dpTicker) VALUES('2016-06-07',4.3769999999999997797,4.4660000000000001918,4.3689999999999997726,4.384000000000000341,'DL.AS'); 
INSERT INTO dailyPrices(dpDate,dpOpen,dpHigh,dpLow,dpClose,dpTicker) VALUES('2016-06-06',4.3269999999999999573,4.4370000000000002771,4.3209999999999997299,4.3529999999999997584,'DL.AS'); 
INSERT INTO dailyPrices(dpDate,dpOpen,dpHigh,dpLow,dpClose,dpTicker) VALUES('2016-06-03',4.3399999999999998578,4.4370000000000002771,4.3209999999999997299,4.3529999999999997584,'DL.AS'); 
INSERT INTO dailyPrices(dpDate,dpOpen,dpHigh,dpLow,dpClose,dpTicker) VALUES('2016-06-02',4.4340000000000001634,4.5099999999999997868,4.4029999999999995807,4.4459999999999997299,'DL.AS'); 
INSERT INTO dailyPrices(dpDate,dpOpen,dpHigh,dpLow,dpClose,dpTicker) VALUES('2016-06-01',4.5099999999999997868,4.5119999999999995665,4.3170000000000001705,4.3990000000000000213,'DL.AS'); 
INSERT INTO dailyPrices(dpDate,dpOpen,dpHigh,dpLow,dpClose,dpTicker) VALUES('2016-05-31',4.6130000000000004334,4.6699999999999999289,4.5019999999999997797,4.525999999999999801,'DL.AS'); 
COMMIT;