How to write this SQL query

We have a table, the structure as below: (I put a blank row in the middle to make it clear)
Product_ID     Retailer     Retail_Price
1001          A          1.2
1001          B          1.5
1001          C          1.4
1002          B          2.0
1002          C          2.1
1002          E          1.8
1002          F          2.0
1003          A          1.7
1003          C          1.5
Basically we use the table to compare the retail price for different retailers in terms of different products. My customer asked me to give a report based on above table but only shows the retail prices which contain retailer A.
For example, on above table I need to give a report like below:
Product_ID     Retailer     Retail_Price
1001          A          1.2
1001          B          1.5
1001          C          1.4
1003          A          1.7
1003          C          1.5
Can anybody give some ideas on how I should write a SQL to achieve this.
Many thanks!

SQL> create table product(
2 Product_ID varchar2(10),
3 Retailer varchar2(10),
4 Retail_Price number(7,2)
5 )
6 /
Table created.
SQL> insert into product values('1001','A',1.2)
2 /
1 row created.
SQL> insert into product values('1001','B',1.5)
2 /
1 row created.
SQL> insert into product values('1001','C',1.4)
2 /
1 row created.
SQL> insert into product values('1002','B',2.0)
2 /
1 row created.
SQL> insert into product values('1002','C',2.1)
2 /
1 row created.
SQL> insert into product values('1002','E',1.8)
2 /
1 row created.
SQL> insert into product values('1002','F',2.0)
2 /
1 row created.
SQL> insert into product values('1003','A',1.7)
2 /
1 row created.
SQL> insert into product values('1003','C',1.5)
2 /
1 row created.
SQL> select * from product
2 /
PRODUCT_ID RETAILER RETAIL_PRICE
1001 A 1.2
1001 B 1.5
1001 C 1.4
1002 B 2
1002 C 2.1
1002 E 1.8
1002 F 2
1003 A 1.7
1003 C 1.5
9 rows selected.
SQL> select * from product where PRODUCT_ID in (
2 select distinct PRODUCT_ID from product where RETAILER='A')
3 /
PRODUCT_ID RETAILER RETAIL_PRICE
1001 A 1.2
1001 B 1.5
1001 C 1.4
1003 A 1.7
1003 C 1.5

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2 as
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10 )
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Erland Sommarskog, SQL Server MVP, [email protected]

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