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In some cases partial success may be tolerable, but in the real world it is generally not acceptable. Let s investigate a case in which several batches are written, divided by a Go statement, and executed together. Although the user has issued a single command to execute them, the client application will divide the code into batches and send them to the server separately. If an error occurs in any batch, the server will cancel its execution. However, this does not mean that execution of the other batches is canceled. The server will try to execute the next batch automatically. In some cases this may be useful, but in most it may not be what the user expects to happen. In the following example, a user tries to delete one column from the Part table. One way to perform this action (very popular until DBAs got spoiled with fancy tools like Enterprise Manager or the Alter Table Drop Column statement) would be to

Create a temporary table to preserve the information that is currently in the Part table. Copy information from the Part table to the temporary table. Drop the existing Part table. Create a Part table without the irrelevant columns. Copy the preserved information back to the Part table. Drop the temporary table.

the XML document. The following example extracts the branch of the XML document/tree that describes a node with EquipmentID set to 1:

A code to implement this functionality could be created in a set of five batches:

6:

Create Table TmpPart (PartId int identity, Make varchar(50), Model varchar(50), Type varchar(50)) Go Insert into TmpPart (PartId, Make, Model, EqTypeId) Select PartId, Make, Model, EqTypeId from Part Go Drop Table Part Go Create Table Part (PartId int identity, Make varchar(50), Model varchar(50)) Go Insert into Part (PartId, Make, Model) Select PartId, Make, Model from TmpPart Go Drop Table TmpPart Go

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queries that use sorting or hashing, as well as by special memory objects that need less than one 8K page.

In theory, this set of batches would work perfectly. However, there is just one problem the developer didn t take errors into account. For example, if a syntax error occurs in the first batch, a temporary table will not be created, Part information will not be preserved in it, and when the code drops the table, the information will be lost. To observe a method that experienced developers use to handle errors, read the next chapter.

Data Definition Language (DDL) is that part of Transact-SQL dedicated to the creation of database objects. For internal reasons,

some DDL statements must stand alone in the batch, including the following statements:

Select * From Openxml (@intDoc, '/root/Equipment', 2) With (EquipmentID int '@EquipmentID', Branch ntext '@mp:xmltext') Where EquipmentId = 1

Create Procedure Create Trigger Create Default Create Rule Create View Set Showplan_Text Set Showplan_All

During compilation, the batch is converted into a single execution plan. For this reason, the batch must be self-sufficient. In the real world, this concept has vast implications for the scope of database objects, variables, and comments. Scope of Objects Some DDL statements can be inside batches together with other commands, but keep in mind that the resulting object will not be accessible until the batch is completed. For example, it is not possible to add new columns to the table and to access those new columns in the same batch. Therefore, the following batch will fail:

The Select statement is not able to access the Cost column, and the whole batch will fail:

Server: Msg 207, Level 16, State 3, Line 1 Invalid column name 'Cost'.

Therefore, the batch has to be divided in two:

6:

SQL Server 2000 returns the following:

However, a workaround with the Execute statement will not work either:

Scope of Variables All (local) variables referenced in a batch must also be declared in that batch. The following code will result in the failure of the second batch:

Scope of Comments Comments must be started and finished within the same batch. Ignoring this requirement will result in some very interesting outcomes, because Go commands are preprocessed on the client side, before the code is sent to the server. Take a look at the comment in the following sample:

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