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POComparing 2 tables for new or updated rows using composite keys
 

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  1. POComparing 2 tables for new or updated rows using composite keys
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    <p>I'm writing tsql for SQL Server 2008. I've got two tables with roughly 2 million rows each. The Source table gets updated daily and changes are pushed to the Destination table based on a last_edit date. If this date is newer in source than destination then update the destination row. If a new row exists in source compared to destination insert it into destination. This is really only a one way process that I'm concerned with, from source to destination. The source and destination table use a unique identifier across 4 columns, serialid, itemid, systemcode, and role.</p> <p>My table are modeled similar to the script below. There are many data columns but I've limited it to 3 in this example. I'm looking for 2 outputs. 1 set of data with rows to update and 1 set of data with rows to add.</p> <pre><code>CREATE TABLE [dbo].[TABLE_DEST]( [SERIALID] [nvarchar](20) NOT NULL, [ITEMID] [nvarchar](20) NOT NULL, [SYSTEMCODE] [nvarchar](20) NOT NULL, [ROLE] [nvarchar](10) NOT NULL, [LAST_EDIT] [datetime] NOT NULL], [DATA_COLUMN_1] [nvarchar](10) NOT NULL, [DATA_COLUMN_2] [nvarchar](10) NOT NULL, [DATA_COLUMN_3] [nvarchar](10) NOT NULL ) CREATE TABLE [dbo].[TABLE_SOURCE]( [SERIALID] [nvarchar](20) NOT NULL, [ITEMID] [nvarchar](20) NOT NULL, [SYSTEMCODE] [nvarchar](20) NOT NULL, [ROLE] [nvarchar](10) NOT NULL, [LAST_EDIT] [datetime] NOT NULL], [DATA_COLUMN_1] [nvarchar](10) NOT NULL, [DATA_COLUMN_2] [nvarchar](10) NOT NULL, [DATA_COLUMN_3] [nvarchar](10) NOT NULL ) </code></pre> <p>Here's what I've got for the update dataset.</p> <pre><code>select s.* from table_dest (nolock) inner join table_source s (nolock) on s.SYSTEMCODE = fd.SYSTEMCODE1Y and s.ROLE = d.ROLE and s.SERIALID = d.SERIALID and s.ITEMID = d.ITEMID and s.LAST_EDIT &gt; d.LAST_EDIT </code></pre> <p>I don't know how best to accomplish finding the rows to add. But the solution has to be pretty efficient for the database.</p>
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