Loading Converted Database Objects into SQL Server (SybaseToSQL)
After you have converted Sybase Adaptive Server Enterprise (ASE) database objects to SQL Server or SQL Azure, you can load the resulting database objects into SQL Server or SQL Azure. You can either have SSMA create the objects, or you can script the objects and run the scripts yourself. Also, SSMA lets you update target metadata with the actual contents of SQL Server or Azure SQL Database.
If you want to load the converted database objects into SQL Server or SQL Azure without modification, you can have SSMA directly create or re-create the database objects. This method is quick and easy, but does not allow for customization of the Transact-SQL code that defines the SQL Server or SQL Azure objects, other than stored procedures.
If you want to modify the Transact-SQL that is used to create the objects in SQL Server or SQL Azure, or if you want more control over when and how the objects are created in SQL Server or SQL Azure, use SSMA to create Transact-SQL scripts. You can then modify those scripts, create each object individually, and even use SQL Server or SQL Azure Agent to schedule creating those objects.
To use SSMA to create SQL Server or Azure SQL Database objects, you select the objects in SQL Server or SQL Azure Metadata Explorer, and then synchronize the objects with SQL Server or SQL Azure, as shown in the following procedure. By default, if the objects already exist in SQL Server or SQL Azure, and if the SSMA metadata has some local changes or updates to the definition of those very objects, then SSMA will alter the object definitions in SQL Server or SQL Azure. You can change the default behavior by editing Project Settings.
Napomena
You can select existing SQL Server or Azure SQL Database objects that were not converted from ASE databases. However, those objects will not be re-created or altered by SSMA.
To synchronize objects with SQL Server or SQL Azure
In SQL Server or SQL Azure Metadata Explorer, expand the top SQL Server or SQL Azure node, and then expand Databases.
Select the objects to process:
To synchronize a complete database, select the check box next to the database name.
To synchronize or omit individual objects or categories of objects, select or clear the check box next to the object or folder.
After you have selected the objects to process in SQL Server or SQL Azure Metadata Explorer, right-click Databases, and then click Synchronize with Database.
You can also synchronize individual objects or categories of objects by right-clicking the object or its parent folder, and then clicking Synchronize with Database.
After that, SSMA will display the Synchronize with Database dialog, where you can see two groups of items. On the left side, SSMA shows selected database objects represented in a tree. On the right side, you can see a tree representing the same objects in SSMA metadata. You can expand the tree by clicking on the right or left '+' button. The direction of the synchronization is shown in the Action column placed between the two trees.
An action sign can be in three states:
A left arrow means the contents of metadata will be saved in the database (the default).
A right arrow means database contents will overwrite the SSMA metadata.
A cross sign means no action will be taken.
Click on the action sign to change the state. Actual synchronization will be performed when you click OK button of the Synchronize with Database dialog.
If you want to save Transact-SQL definitions of the converted database objects, or you want to alter the object definitions and run scripts yourself, you can save the converted database object definitions to Transact-SQL scripts.
To save objects as scripts
After you have selected the objects to save to a script, right-click Databases, and then select Save as Script.
You can also script individual objects or categories of objects by right-clicking the object or its containing folder, and then selecting Save Script.
In the Save As dialog box, locate the folder where you want to save the script, enter a file name in the File name box, and then click OK.
SSMA will append the .sql file name extension.
After you have saved the SQL Server or SQL Azure object definitions as one or more scripts, you can use SQL Server Management Studio to view and modify the scripts.
To modify a script
On the SQL Server Management Studio File menu, point to Open, and then click File.
In the Open dialog box, navigate to and select your script file, and then click OK.
Edit and the script file by using the query editor.
For more information about the query editor, see "Editor Convenience Commands and Features" in SQL Server Books Online.
To save the script, on the File menu, select Save.
You can run a script, or individual statements, in SQL Server Management Studio.
To run a script
On the SQL Server Management Studio File menu, point to Open, and then click File.
In the Open dialog box, navigate to and select your script file, and then click OK.
To run the complete script, press the F5 key.
To run a set of statements, select the statements in the query editor window, and then press the F5 key.
For more information about how to use the query editor to run scripts, see " SQL Server Management Studio Transact-SQL Query" in SQL Server Books Online.
You can also run scripts from the command line by using the sqlcmd utility, and from SQL Server Agent. For more information about sqlcmd, see "sqlcmd Utility" in SQL Server Books Online. For more information about SQL Server Agent, see "Automating Administrative Tasks ( SQL Server Agent) " in SQL Server Books Online.
After you have loaded the converted database objects into SQL Server, you can grant and deny permissions on those objects. It is a good idea to do this before migrating data to SQL Server. For information about how to help secure objects in SQL Server, see "Security Considerations for Databases and Database Applications" in SQL Server Books Online.
The next step in the migration process is to Migrating Sybase ASE Data into SQL Server / SQL Azure(SybaseToSQL).
Migrating Sybase ASE Databases to SQL Server - Azure SQL Database (SybaseToSQL)