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How does merge statement work in SQL?

The MERGE statement basically works as separate INSERT, UPDATE, and DELETE statements all within the same statement. You specify a “Source” record set and a “Target” table and the join between the two.

How does merge work in SQL?

The MERGE statement basically works as separate INSERT, UPDATE, and DELETE statements all within the same statement. You specify a “Source” record set and a “Target” table and the join between the two.

What is Merged command in SQL?

Introduction to the MERGE Statement and SQL Server Data Modification. The MERGE statement is used to make changes in one table based on values matched from anther. It can be used to combine insert, update, and delete operations into one statement.

What is merged in SQL with example?

The MERGE statement allows you to join a data source table with a target table or view, and then perform multiple actions against the target based on the results of that join. For example, you can use the MERGE statement to perform the given operations below.

How do you merge tables in SQL?

SQL JOIN. A JOIN clause is used to combine rows from two or more tables, based on a related column between them. Notice that the “Customer ID” column in the “Orders” table refers to the “Customer ID” in the “Customers” table. The relationship between the two tables above is the “Customer ID” column.

What does DEL merge do?

MERGE statement. A MERGE statement is a DEL statement that can combine INSERT, UPDATE, and DELETE operations into a single statement and perform the operations atomically.

Can we use where clause in Merge statement in SQL?

WHEN MATCHED clause in SQL Server MERGE statement is used to update, delete the rows in the target table when the rows are matched with the source table based on the join condition. In this case, Locations is the target table, Locations_stage is the source table and the column Location ID is used in the join condition.

How do I merge datasets in SQL?

SQL joins allow you to combine two datasets side-by-side, but UNION allows you to stack one dataset on top of the other. Put differently, UNION allows you to write two separate SELECT statements, and to have the results of one statement display in the same table as the results from the other statement.

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