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hello, I have two temporary tables that are created as part of a stored procedure. <br />
<br />
both tables have the same structure:<br />
<br />
&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[CustomerChainName]<br />
, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[SortGroup]<br />
, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[SortOrder]<br />
, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[Quantity_CurrentYear]<br />
, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[QuantityPriorYear]<br />
, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[VolumeChange]<br />
, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[GrowthPercent]<br />
<br />
The first table contains the top 30 customers with highest growth percentage, and the other table contains a single row that shows totals for all the other customers (not top 30)<br />
<a href="https://filedb.experts-exchange.com/incoming/2013/09_w36/675432/Capture.PNG" target="_blank" title="screen shot (81 KB)"><img alt="screen shot" class="file-block lazyload" style="max-width: 800px;" data-src="https://filedb.experts-exchange.com/incoming/2013/09_w36/800_675432/Capture.PNG" /></a><br />
my question is, what type of join would I have to use in this case?<br />
<br />
any example would be great.<br />
<br />
Thank you very much.
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Capture.PNG

hello, I have two temporary tables that are created as part of a stored procedure. 

both tables have the same structure:

	[CustomerChainName]
,	[SortGroup]
,	[SortOrder]
,	[Quantity_CurrentYear]
,	[QuantityPriorYear]
,	[VolumeChange]
,	[GrowthPercent]

The first table contains the top 30 customers with highest growth percentage, and the other table contains a single row that shows totals for all the other customers (not top 30)


my question is, what type of join would I have to use in this case?

any example would be great.

Thank you very much.

joining tables. one table has multiple records, one a single record

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SQL (Structured Query Language) is designed to be used in conjunction with relational database products as of a means of working with sets of data. SQL consists of data definition, data manipulation, and procedural elements. Its scope includes data insert, query, update and delete, schema creation and modification, and data access control.