SQL-合并两个具有不同日期值的表 [英] SQL - Combine two tables with different date value
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问题描述
我正在研究在网站上显示股票信息的项目.我想问一下如何在SQL中合并两个表.
I'm working on project to display stock information in a website. And i want to ask how to combine two tables in SQL.
假设我们有Table1
Suppose we have Table1
stock_id date p_high p_low
------------------------------------
3 2013-02-26 100 80
3 2013-02-25 100 80
3 2013-02-24 100 80
1 2013-02-24 100 80
3 2013-02-23 100 80
2 2013-02-23 100 80
我们有Table2
stock_id date open high low close volume
---------------------------------------------------------
3 2013-02-24 90 110 70 90 250
3 2013-02-23 90 110 70 90 250
2 2013-02-23 90 110 70 90 250
3 2013-02-22 90 110 70 90 250
3 2013-02-21 90 110 70 90 250
1 2013-02-21 90 110 70 90 250
我想合并日期并显示所有数据,
And i want to combine the date and display all the data like this,
更新:我想结合日期和stock_id
Update: I want to combine the date and the stock_id
stock_id date open high low close volume p_high p_low
------------------------------------------------------------------------
3 2013-02-26 100 80
3 2013-02-25 100 80
3 2013-02-24 90 110 70 90 250 100 80
3 2013-02-23 90 110 70 90 250 100 80
3 2013-02-22 90 110 70 90 250
3 2013-02-21 90 110 70 90 250
谢谢您的帮助.
推荐答案
查询: SQLFIDDLEExample
Query: SQLFIDDLEExample
SELECT a.stock_id,
a.date,
a.open,
a.high,
a.low,
a.close,
a.volume,
a.p_high,
a.p_low
FROM (
SELECT t1.stock_id,
t1.date,
t2.open,
t2.high,
t2.low,
t2.close,
t2.volume,
t1.p_high,
t1.p_low
FROM table1 t1
LEFT JOIN table2 t2 ON t1.date = t2.date
UNION
SELECT t2.stock_id,
t2.date,
t2.open,
t2.high,
t2.low,
t2.close,
t2.volume,
t1.p_high,
t1.p_low
FROM table1 t1
RIGHT JOIN table2 t2 ON t1.date = t2.date ) a
WHERE a.stock_id = 3
结果:
| STOCK_ID | DATE | OPEN | HIGH | LOW | CLOSE | VOLUME | P_HIGH | P_LOW |
-------------------------------------------------------------------------------------------------------------
| 3 | February, 26 2013 00:00:00+0000 | (null) | (null) | (null) | (null) | (null) | 100 | 80 |
| 3 | February, 25 2013 00:00:00+0000 | (null) | (null) | (null) | (null) | (null) | 100 | 80 |
| 3 | February, 24 2013 00:00:00+0000 | 90 | 110 | 70 | 90 | 250 | 100 | 80 |
| 3 | February, 23 2013 00:00:00+0000 | 90 | 110 | 70 | 90 | 250 | 100 | 80 |
| 3 | February, 22 2013 00:00:00+0000 | 90 | 110 | 70 | 90 | 250 | (null) | (null) |
| 3 | February, 21 2013 00:00:00+0000 | 90 | 110 | 70 | 90 | 250 | (null) | (null) |
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