UPDATE statements are against one
table at a time. Depending on the structure of the table, and the values to be
updated.
See the update statement in
UPDATE NewAddress
SET [City] =
'Pune',
[ModifiedDate] = GETDATE()
WHERE [City] =
'Monroe' ;
|
See the execution plan
Let's
begin reading this execution plan in the physical operation order, from right
to left. The first operator is a Non Clustered Index Scan, which
retrieves all of the necessary rows from a non-clustered index, scanning
through them, and one row at a time. This is not particularly efficient and
should be a flag to you that perhaps the table needs better indexes to speed
performance. The purpose of this operator is to identify all the rows WHERE [City] = 'Monroe', and then send
them to the next operator.
The next
three operators are all Compute Scalar operators, which we have seen
before. In this case, they are used to evaluate expressions and to produce a
computed scalar value, such as the GETDATE
() function used in the query.
Now we get to the core of the UPDATE
statement, the Table Update operator. In this case, the values being
updated are part of a clustered index. So this operator identifies the rows to
be updated, and updates them. Last of all, we see the generic T-SQL Language
Element catchall operator, which tells us that an UPDATE operation has been
completed.
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