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johnnyg123Flag for United States of America

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sql to add additional rows

Here is some sample data from the order and customer tables (SQL Server 2014)

Order Table
OrderID  OrderAmount    
1              300    
2              400          

Customer Table
CustomerID  CustomerFirstName CustomerLastName
500                Fred                          Smith

Need to write a query that will return all rows from customer table with a row for each order that exists

Given sample data would like query to return the following

CustomerID  CustomerFirstName CustomerLastName OrderID  OrderAmount
500                Fred                          Smith                        1             300
500                Fred                          Smith                        2             400

Not sure of best way to do this

SQLMicrosoft SQL Server

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Jim Horn
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slightwv (䄆 Netminder)

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Avatar of Ryan Chong
Ryan Chong
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select c.*, o.*
from Customer c, Order o

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But you really want to know what you want to return, and if this is the expected result
Avatar of slightwv (䄆 Netminder)
slightwv (䄆 Netminder)

>>from Customer c, Order o

That will work but probably better to use the new ANSI join syntax.
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Peter Chan
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select a.*,b.*
from customertable,ordertable

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I think better to have/add customerID column (as one foreign key) in Ordertable, to know which customer does make which order.


Please review previous Experts comments.  That has already been posted.

and yours is incorrect.  You cannot select a.* if you don't alias the tables.
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Jim Horn
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:: snicker ::   This question was answered in the first comment, with helpful commentary.
Microsoft SQL Server
Microsoft SQL Server

Microsoft SQL Server is a suite of relational database management system (RDBMS) products providing multi-user database access functionality.SQL Server is available in multiple versions, typically identified by release year, and versions are subdivided into editions to distinguish between product functionality. Component services include integration (SSIS), reporting (SSRS), analysis (SSAS), data quality, master data, T-SQL and performance tuning.

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