if join two tables using inner join method will it return duplicate values ?
Yes, if there are duplicate values.
Again, if we perform a left outer join where date = date, each row from Table 5 will join on to every matching row from Table 4. However, in this case, the join will result in 4 rows of duplicate dates in the joined DataSet (see Table 6).
Inner join will give you the records that have the same values in the joined columns between the 2 tables. From what you are saying, the 2 tables you are comparing are more or less the same, and full outer join giving you records from both tables, chances are you are going to get a lot of duplicates.
Here is an example with duplicate rows in both tables.
select * from customers;
id | name | age | address
----+-------------+-----+-----------
1 | Ramesh | 32 | Ahmedabad
2 | Khilan | 25 | Delhi
3 | kaushik | 23 | Kota <-- id 3 "kaushik"
3 | kaushik_two | 23 | Ahmedabad <-- appears twice
4 | Chaitali | 25 | Mumbai
5 | Hardik | 27 | Bhopal
6 | Komal | 22 | MP
7 | Muffy | 24 | Indore
(8 rows)
select * from orders;
oid | date | customer_id | amount
-----+---------------------+-------------+--------
102 | 2009-10-08 00:00:00 | 3 | 3000 <-- reference to customer 3
100 | 2009-10-08 00:00:00 | 3 | 1500 <-- also appears twice
101 | 2009-11-20 00:00:00 | 2 | 1560
103 | 2008-05-20 00:00:00 | 4 | 2060
104 | 2022-01-01 00:00:00 | 100 | 3900
(5 rows)
Produces duplicated rows for "kaushik" and "kaushik_two".
select id, name, amount, date
from customers
inner join orders on customers.id = orders.customer_id;
id | name | amount | date
----+-------------+--------+---------------------
2 | Khilan | 1560 | 2009-11-20 00:00:00
3 | kaushik | 1500 | 2009-10-08 00:00:00 <-- first pair
3 | kaushik | 3000 | 2009-10-08 00:00:00
3 | kaushik_two | 1500 | 2009-10-08 00:00:00 <-- second pair
3 | kaushik_two | 3000 | 2009-10-08 00:00:00
4 | Chaitali | 2060 | 2008-05-20 00:00:00
(6 rows)
Yes, if there are duplicate values.
If you have CUSTOMERS
table:
+----+----------+-----+-----------+----------+
| ID | NAME | AGE | ADDRESS | SALARY |
+----+----------+-----+-----------+----------+
| 1 | Ramesh | 32 | Ahmedabad | 2000.00 |
| 2 | Khilan | 25 | Delhi | 1500.00 |
| 3 | kaushik | 23 | Kota | 2000.00 |
| 4 | Chaitali | 25 | Mumbai | 6500.00 |
| 5 | Hardik | 27 | Bhopal | 8500.00 |
| 6 | Komal | 22 | MP | 4500.00 |
| 7 | Muffy | 24 | Indore | 10000.00 |
+----+----------+-----+-----------+----------+
and ORDERS table as follows:
+-----+---------------------+-------------+--------+
| OID | DATE | CUSTOMER_ID | AMOUNT |
+-----+---------------------+-------------+--------+
| 102 | 2009-10-08 00:00:00 | 3 | 3000 |
| 100 | 2009-10-08 00:00:00 | 3 | 1500 |
| 101 | 2009-11-20 00:00:00 | 2 | 1560 |
| 103 | 2008-05-20 00:00:00 | 4 | 2060 |
+-----+---------------------+-------------+--------+
Then inner join will give result:
SELECT ID, NAME, AMOUNT, DATE
FROM CUSTOMERS
INNER JOIN ORDERS
ON CUSTOMERS.ID = ORDERS.CUSTOMER_ID;
This would produce the following result:
+----+----------+--------+---------------------+
| ID | NAME | AMOUNT | DATE |
+----+----------+--------+---------------------+
| 3 | kaushik | 3000 | 2009-10-08 00:00:00 |
| 3 | kaushik | 1500 | 2009-10-08 00:00:00 |
| 2 | Khilan | 1560 | 2009-11-20 00:00:00 |
| 4 | Chaitali | 2060 | 2008-05-20 00:00:00 |
+----+----------+--------+---------------------+
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