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The MERGE statement combines INSERT, DELETE, and UPDATE operations into one table.

Once you understand how it works, you’ll see it simplifies procedure with use all three statements separately to synchronize data.

The target Table is the table to be modified based in data contained within the source Table.

Give these matching scenarios, you’re able to easily incorporate add, remove, and update activities into a single statement to synchronize changes between two tables. Let’s assume that our goal is to synchronize any changes made to esql Product Source with esql Product Target.

Here is a diagram of these two tables: Note: For the sake of this example I ran the scripts I talked about in the introduction to create and populate two tables: esql Product Source, and esql Product Target.

In this tip we will see how to extract and query the information from SQL Server 2017 Graphs as well as demonstrate how these queries are different from the relational database queries. An edge represents a relationship between the two nodes it connects.

A graph in SQL Server 2017 is a collection of node and edge tables. Node or Edge tables can be created under any schema in the database, but they all belong to one logical graph.

Let’s go over what the various conditions mean: MATCHED – these are rows satisfying the match condition.

They are common to both the source and target tables. When you use this condition in a merger statement you; most like being updating the target row columns with source Table column values.

This condition specifies how rows from the source Table are matched to the target Table.

If your familiar with INNER JOINS, you can think of this as the join condition used to match rows.

Here is the DELETE statement we can use: MERGE esql Product Target T USING esql Product Source S ON (S.

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