SQL Server - Database Specific Support

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DbVisualizer 6.0
July 2007
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[ Master documentation index ]

Introduction

In addition to the standard feature set in DbVisualizer this document briefly covers the database specific support in DbVisualizer for the SQL Server RDBMS.

Database Objects Tree

The following table shows what objects DbVisualizer handles for a SQL Server database. The first column list the structure and the object types. The actions column lists all actions that are associated with the object types and the last column shows all viewers that appear when selecting an object in the tree.

The screenshots illustrates the visual representation of the objects tree.  

Object Type Actions Viewers
Databases
Catalog
Rename Database
Tables
Create Table References, Tables
Table
Alter Table, Create Index, Drop Table, Empty Table, Import Table Data, Rename Table, Script: CREATE TABLE, Script: DELETE, Script: INSERT, Script: SELECT, Script: UPDATE Columns, DDL, Data, Grants, Indexes, Info, Navigator, Primary Key, References, Row Count, Row Id, Triggers
SystemTables
References, SystemTables
SystemTable
Script: SELECT Columns, Data, Info, Row Count
Views
References, Views
View
Drop View, Rename View, Script: CREATE VIEW, Script: DELETE, Script: INSERT, Script: SELECT, Script: UPDATE Columns, DDL, Data, Indexes, Info, Row Count
Indexes
Indexes
Index
Drop Index, Rebuild Index1, Rename Index Info
Users
Users
Groups
Groups
Group
Info, Users
Types
User Defined Data Types
Triggers
Triggers
Trigger
Drop Trigger Info, Source
Procedures
Procedures
Procedure
Drop Procedure, Rename Procedure Interface, Source
Functions
Functions
Function
Drop Function, Rename Function Interface, Source
DBA
DBA
ServerInfo
Server Info
Logins
Logins
Devices
Database Devices
RemoteServers
Remote Servers
Processes
Processes
ServerRoles
Roles
Locks
Locks
1) SQL Server version 9 or later


Explain Plan

Explain Plan executes your query and records the plan that the database devises to execute it. By examining this plan, you can find out if the database is picking the right indexes and joining your tables in the most efficient manner. The explain plan feature works much the same as executing SQLs to present result sets, you may highlight statements, run a script or load from file. The explain plan results can easily be compared by using the pin feature in combination with window style presentation.
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