SQL - Combine two tables with different date value
mysql, sql
Solution
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
Result:
| 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) |
Problem
I'm working on project to display stock information in a website. And i want to ask how to combine two tables in SQL. 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 ``` And we have 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 ``` And i want to combine the date and display all the data like this, 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 ``` Thank you for your help.