Chapter 10

1. Chapter 10 Working With Databases

2. Chapter 10Introduction

3. Chapter 10 Topics • Basic database terminology • Fundamental database concepts • Use ADO .NET to access databases • Display, sort, and update database data • Use the DataGridView control

4. Section 10.1What Is a Database? A Database is a Collection of Data Organized in Tables, Rows, and Columns

5. Terminology • Database: a collection of interrelated tables • Table: a logical grouping of related data • A category of people, places, or things • For example, employees or departments • Organized into rows and columns • Field: an individual piece of data pertaining to an item, an employee name for instance • Record: the complete data about a single item such as all information about an employee • A record is a row of a table

6. Database Table • Each table has a primary key • Uniquely identifies that row of the table • PartNumber is the primary key in this example • Columns also called fields or attributes • Each column has a particular data type Row (Record) Column Field

7. VB and Access Data Types • VB data types must match table data types • MS Access and VB have similar data types Access Data TypeVisual Basic Data Type AutoNumber Long Date/Time Date, DateTime Number, Integer Integer Number, long integer Long Integer Number, single Single Number, double Double Text String Yes/No Boolean

8. Database Design • A database schema is the design of tables, columns, and relationships between tables • Define a column for each piece of data • Allow plenty of space for text fields • For the members of an organization: Column NameTypeSize First_Name Text 40 Last_Name Text 40 Phone Text 30 Email Text 40 Date_Joined Date/Time Officer Yes/No 1

9. Issues with Redundant Data • Database design minimizes redundant data • In the following employee table: IDFirst_NameLast_NameDepartment 001234 Ignacio Fleta Accounting 002000 Christian Martin Computer Support 002122 Orville Gibson Human Resources 00300 Jose Ramirez Research & Devel 003400 Ben Smith Accounting 003780 Allison Chong Computer Support • Same dept name appears multiple times • Requires additional storage space • Causes problems if misspelled • What if a department needs to be renamed?

10. Eliminating Redundant Data • Create a department table Dept_IDDept_NameNum_Employees 1 Human Resources 10 2 Accounting 5 3 Computer Support 30 4 Research & Development 15 • Reference department table in employee table IDFirst_NameLast_NameDept_ID 001234 Ignacio Fleta 2 002000 Christian Martin 3 002122 Orville Gibson 1 003000 Jose Ramirez 4 003400 Ben Smith 2 003780 Allison Chong 3

11. One-to-Many Relationships • The previous changes created a one-to-many relationship • Every employee has one and only one dept • Every department has many employees • DeptID in department table is a primary key • DeptID in employee table is a foreign key • In general, a one-to-many relationship is created when the primary key of one table is specified as a field of a another table

12. Section 10.2Using the DataGridView The DataGridView Control Allows you to Display a Database Table in a Grid Which Can be Used at Runtime to Sort and Edit the Contents of the Table

13. Connecting VB to a Database • VB provides tools to display database tables • Data binding links tables to form controls • Controls called components establish the link • A wizard guides you through the process • We’ll use these data-related components: • Data source – usually a database • Binding source – holds database name, location, and other connection information • Table adapter – uses SQL to select data • Dataset – in-memory copy of data from tables

14. Connecting VB to a Database • The flow of data from database to application • Note that data moves in both directions • Data travels from data source to application • Application can view/change dataset contents • Changes to dataset can be written back to the data source • Tutorial 10-1 demonstrates how to connect a database table to a DataGridView control DataSource BindingSource TableAdapter Dataset Application

15. Section 10.3Selecting Dataset Rows Visual Basic Provides Convenient Tools for Selecting Which Rows from the Dataset You Want to Display

16. Structured Query Language (SQL) • Often need to select certain rows in a table using Structured Query Language (SQL) • Standard method of working with a database • Adopted by most all database software • Not a general purpose programming language • Defines how to construct queries that return selected data from the database

17. SQL Query Example • You might want to select all employees hired before 1998 and earning less than $45,000 Select ID, Name, Full_Time, Hire_Date, SalaryFrom employeesWhere Hire_Date < 1/1/1998 and Salary < 45000 • Select, From, and Where are keywords • Fields to be returned listed after Select • Table containing the data listed after From • Conditions affecting row selection after Where • SQL query is a property of the TableAdapter

18. Configuring the TableAdapter • Right-click on dataset and select Configure to start TableAdapter Configuration Wizard • Can modify a simple query directly in wizard • Or use Query Builder for more complex query • Query Builder is a tool to create or modify queries with minimal knowledge of SQL • To add a query to a DataGridView • Right-click Table Adapter icon attached to grid • Select Add Query from shortcut menu • Tutorial 10-2 demonstrates how this is done

19. Section 10.4Data-Bound Controls Some Controls Can Be Bound to a Dataset. A Data-bound Control Can be Used to Display and Edit the Contents of a Particular Row and Co.lumn

21. Advantages of Data-Binding • Can add multiple data sources to a project • Can bind fields in a data source to controls: • Text boxes • Labels • List boxes • Contents of data-bound controls change automatically when moving from row to row • Updating the contents of a database field from a data-bound control is also very easy

22. Binding Existing Dataset to DataGrid • Use the Data Sources window • Locate the dataset table • Drag table to an open area of a form • Creates a data grid bound to the data source • Automatically adds a navigation bar to form • Set Dock property to Center Docking to make the data grid fill the entire form

23. Binding Individual Fields to Controls • Use the Data Sources window • Locate the dataset table • Select Details from the table drop-down list • Drag table to an open area of a form • Creates a separate control for each field • Can also drag columns individually • Adds automatic navigation bar as before • Text and numeric fields added as text boxes • Yes/No fields added as checkboxes • May wish to change some control properties

24. Binding to List and Combo Boxes • List and combo boxes are frequently used to supply a list of items for a user to select from • Such lists are often populated from a table • Must set two list/combo box properties • DataSource identifies a table within a dataset • DisplayMember identifes the table column to be displayed in the list/combo box • If table column dragged onto a list/combo box • Visual Studio creates the required dataset, table adapter, and binding source components • Tutorial 10-3 shows this type of binding

25. Adding New Rows to a Dataset • NewRow method creates a new, empty row • Assign values to columns in the empty row • Add method appends new row to the dataset • The following example adds a new row to the Payments table of the dsPayments dataset Dim row as dsPayments.PaymentsRow Row = CType(DsPayments.Payments.NewRow(), _ dsPayments.PaymentsRow) With row row.Member_ID = 5 row.Payment_Date = #5/15/2006# row.Amount = 500D End With DsPayments.Payments.Rows.Add(row)

26. Another Means to Add Dataset Rows • Can call the dataset Add method directly • This approach is more straightforward but: • Must specify values in correct column order • Previous example becomes far simpler: DsPayments.Payments.Rows.Add( _ Nothing, 5, #5/15/2006#, 500D) • Payments table 1st column is autonumber so: • Must have an argument for this column • Pass Nothing as the value for this column

27. Removing a Row from a Dataset • Two steps to remove a row • Get a reference to the row to remove • Call Remove method on Rows collection • Following example calls FindByID with the primary key to get a reference to the row Dim row as DataRow = _ DsPayments.Payments.FindByID(36) DsPayments.Payments.Rows.Remove(row)

28. Updating the Database • Previous add and remove examples change the dataset but not the underlying database • Must call TableAdapter Update method to save dataset changes to the database • To write changes in the DsPayments dataset to the underlying database: PaymentsTableAdapter.Update(DsPayments) • Tutorial 10-4 demonstrates adding new rows to the Payments table

29. Reading Dataset Rows with For-Each • A For-Each statement can be used to iterate over all rows of a dataset • Usually use a strongly typed dataset for this • Sum Amount column of dsPayments dataset Dim row as dsPayments.PaymentsRow Dim decTotal as Decimal = 0 For Each row in DsPayments.Payments.Rows decTotal += row.Amount Next • Tutorial 10-5 demonstrates this technique

30. Section 10.5Structured Query Language (SQL) SQL Is a Standard Language for Working With Databases

31. The Select Statement • Select retrieves rows from one or more tables in a database • Basic form of Select for a single table is Select column-list From table • column-list contains column names to select from table, each separated by a comma • The following Select statement retrieves the ID and Salary fields from the SalesStaff table Select ID, Salary From SalesStaff

32. Column Names • Use asterisk to select all columns in a table Select * From SalesStaff • Unlike VB names, SQL columns can have embedded spaces • If so, use square brackets around column names Select [Last Name], [First Name] From SalesStaff • Better to avoid embedded spaces for this reason • As operator can be used to rename columns Select Last_Name, Hire_Date As Date_Hired From SalesStaff

33. Creating New Columns • Sometimes useful to create a new column by appending existing columns together • Create a Full_Name field from first and last name Select Last_Name + ‘, ‘ + First_Name as Full_Name From SalesStaff • Creates a Full_Name field in the format last, first • Can also be useful to create a new column by performing arithmetic operations • Columns involved must be numeric Select ID, hrsWorked * hourlyRate As payAmount From Payroll • Creates a payAmount column with gross pay

34. Sorting Rows with Order By Clause • SQL Select has an optional Order Byclause that affects the order in which rows appear Order by Last_Name, First_Name • Displays rows in order by last name, then first • Sort in reverse order (high to low) using Desc Order by Last_Name DESC • Order By clause appears after From clause Select First_Name, Last_Name, Date_Joined From Members Order By Last_Name, First_Name • Lists all members by last name, then first

35. Selecting Rows with Where Clause • SQL Select has an optionalWhereclause that can be used to select (or filter) certain rows Where Last_Name = ‘Gomez’ • Displays only rows where last name is Gomez • Must be a defined column (in table or created) • This example selects based on a created field Select Last_Name, hrsWorked * Rate As payAmount From Payroll Where payAmount > 1000 Order by Last_Name • Selects those being paid more than $1,000

36. SQL Relational Operators • SQL Where uses relational operators just like a VB If OperatorMeaning = equal to <> not equal to < less than <= less than or equal to > greater than >= greater than or equal to Between between two values (inclusive) Like similar to (match using wildcard) • Example of Between operator: Where Hire_Date Between #1/1/1992# and #12/31/1999# • Example of Like operator with % sign as wildcard: Where Last_Name Like ‘A%’

37. Compound Expressions • SQL uses And, Or, and Not to create compound expressions • Select all employees hired after 1/1/1990 and with a salary is greater than $40,000 Where (Hire_Date > #1/1/1990#) and (Salary > 40000) • Select all employees hired after 1/1/1990 or with a salary is greater than $40,000 Where (Hire_Date > #1/1/1990#) or (Salary > 40000) • Select employee names not beginning with A Where Last_Name Not Like ‘A%’

38. Section 10.6Karate SchoolManagement Application Create an Application that Works With theKarate School Database