One
of the major concerns in using SQL Azure is the security of data such as credit
card numbers, Social Security numbers, salaries, bonuses etc. The degree to
which data needs to be protected is to be determined by each business entity
but generally, on-site data is more secure than data stored in the cloud.
This is a simple example of using SQL Server Integration Services SIS and
SQL Server Reporting Services tools to accomplish just that.
We start off with this scenario: The fictitious
company SecureAce wants to place one of their Employee tables on SQL Azure, but
they do not want to keep any sensitive information such as employee salaries.
However from time to time they need to generate report of their employees and
salaries to management.
The solution to this scenario is divided
in two parts.
In the first part, the on-site data in the
employees table is partitioned in such a way that the sensitive information
stays on-site and the larger, non-sensitive data is stored on SQL Azure.
Splitting the data and uploading to SQL Azure
This is a preparation for the SSIS task
that follows. We will be using Northwind database’s Employee table and splitting it in two parts each
containing different columns, a vertical partition. One part will remain on
site which contains the salary information of employees and the other which is
loaded to SQL Azure will contain most of other information. In the Northwind database, the employee table
does not have a salary column and hence an extra column will be added for this
simulation. The procedure is described in the following[s2] steps[Maitreya3] .
·
Create
a table Employees in VerticalPart using the following statement:
CREATE TABLE [dbo].[Employees](
[EmployeeID] [int] PRIMARY KEY CLUSTERED NOT NULL,
[LastName] [nvarchar](20) NOT NULL,
[FirstName] [nvarchar](10) NOT NULL,
[HomePhone] [nvarchar](24) NULL,
[Extension] [nvarchar](4) NULL,
[Salary] [money] NULL
)
·
Use
Import / Export Wizard to populate the columns (except Salary) of the above
table using Northwind's Employees table
·
Modify
table by adding salary for each employee
[s6] [j7] There are only few employees and this
should not be a problem. When you want to save the table, you may not be able
to do so unless you have turned-on this option, in the Tools menu of SSMS. You
will get a reply after you save [s8] [j9] the Employees table as shown.
Now
run a SELECT query to verify that the salary column has been populated as shown.
Copy
the script for Northwind’s Employee table and modify it by changing the table
name and removing some columns resulting in the following statement:
CREATE TABLE [dbo].[AzureEmployees](
[EmployeeID] [int] PRIMARY KEY CLUSTERED NOT NULL,
[LastName] [nvarchar](20) NOT NULL,
[FirstName] [nvarchar](10) NOT NULL,
[Title] [nvarchar](30) NULL,
[TitleOfCourtesy] [nvarchar](25) NULL,
[HireDate] [datetime] NULL,
[Address] [nvarchar](60) NULL,
[City] [nvarchar](15) NULL,
[Region] [nvarchar](15) NULL,
[PostalCode] [nvarchar](10) NULL,
[Country] [nvarchar](15)
)
Note that the table name has been changed
to AzureEmployees. This is the table that will be stored in the Bluesky
database on SQL Azure.
Login
to SQL Azure and create the table in Bluesky database by running the above
create table statement.
The table will be created with the above
schema which you may verify in the Object Browser.
Use
Import and Export Wizard to populate the columns of AzureEmployees with data
from Northwind. Use the query option to move data from source to destination
using the following query.
SELECT EmployeeID, LastName, FirstName,
Title, TitleOfCourtesy, HireDate,
Address, City,Region, PostalCode,
Country
FROM
Employees
Save
the query results to the AzureEmployees table you created earlier as shown.
Follow
wizard’s steps to review data mapping as shown
Complete
the wizard steps as shown.
Verify
data in AzureEmployees in Bluesky database on SQL Azure by running a SELECT
statement.
By following the above we have created two
tables, one on-site and the other on SQL Azure.
Although data transformation of string
data types did not present any error due to string length it could present some
problems if the string length is over 8000 if the strings are of type varchar (max)
and text. In these cases just change them to nvarchar (max) to overcome the
problem. For details review the following link:
http://blogs.msdn.com/b/sqlazure/archive/2010/06/01/10018602.aspx
Merging data and loading an Access database
In this section we
will reconstruct the Employees table on-site by retrieving data from SQL Azure
as well as SQL Server’s VerticalPart database and merge them. After merging
them, we will place them in an MS Access database so that simple reports can be
authored.
In order to do
this we take the following steps.
- Click open
BIDS from its shortcut.
- Create a
Integration Services Project after providing a name for the project.
Change the default name of the Package file.
The Project folder
should appear as shown in the next image. Project name and Package name were
provided.
- Drag and drop
a Data
Flow task to the Control Flow tabbed page
of the package designer surface.
- In the bottom pane Connection Managers, configure connection managers one each for SQL Azure database;
VerticalPart database on SQL Server 2008; and an MS Access database as
shown.
The next image
shows the details of the connection manager Hodentek3\KUMO.VerticalPart. Note that SqlClient Data Provider is used. The SQL
Server Hodentek3\KUMO is configured for
Windows
Authentication.
This next image
shows the connection xxxxxxxxxx.database.windows.net.Bluesky.mysorian1
for the Bluesky database on SQL Azure. The
authentication information is the same one you have used so far and, if it is
correct you should be able to see the available databases.
- Create an MS
Access database (Access 2003 format) and use it for this connection.
Later we also
create a table in this database to receive the merged fields from SQL Azure and
the on-site server.
For this
connection manager we use the following settings and verify by clicking the Test Connection button:
Provider: Native OLE DB\Microsoft Jet
4.0 OLE DB Provider
Database file is at: C:\Users\Jay\AccessSQLAzure.mdb
User name: Admin
Password: <empty>
It is assumed that
the reader has familiarity with using SSIS. The author recommends his own book
on SSIS for beginners, which may be found here: https://www.packtpub.com/sql-server-integration-services-visual-studio-2005/book.
Each of the above
connections can be tested using the Test Connection button on them.
Merging columns
from SQL Azure and SQL Server
You will use two
ADO.NET Source data flow sources, one each for SQL Azure and SQL Server. The
outputs will be merged.
- Add
two ADO.NET data flow sources to the tabbed designer pane Data Flow.
- Rename
the default names of the source components to read From SQL Azure Database
and From SQL Server 2008
database.
- Configure
the ADO.NET Source Editor connected to SQL Azure to display
the following as shown in the next image.
ADO.NET Connection manager:
XXXXXXX.database.windows.net.Bluesky.mysorian1
Data access mode: Table or view
Name of the table or view:
"dbo"."AzureEmployees"
You must use the server name appropriate
for your SQL Azure instance.
Configured
as shown and you should be able to view the data in this table with the Preview…button.
- Configure
the ADO.NET Source Editor connected to SQL Server to display
the following as shown in the next image.
Use
the following details to configure From SQL Server 2008 database
source used in the ADO.NET Source Editor are as follows:
ADO.NET Connection manager:
Hodentek3\KUMO.Verticalpart
Data access mode: Table or view
Name of the table or view:
"dbo"."Employees"
Again
you should be able to view the data in this table with the Preview…button.
Sorting the
outputs of the sources
Since the data
coming at the exit point of the sources are not sorted it is important to get
the sorting correct and same in both sources before they can be merged.
- Drag
and drop two Sort dataflow controls from the Toolbox
to the design surface just below the ADO.NET data sources.
- Start
with the one that is going to be receiving its input from the From SQL Azure Database
source control.
- Click
From SQL Azure Database and drag and drop the green dangling
line on to the Sort control below it as shown.
- Double
click the Sort control to display the Sort Transformation Editor
and place a check mark for EmployeeID as shown.
- Repeat
the same procedure for the From SQL
Server 2008 Database
source. Now we have two sort controls receiving their inputs from two
source controls with outputs sorted.
- Drag
and drop a Merge Join Data Flow Transformation from the
Toolbox on to the design surface.
- Click
the Sort data flow transformation on the left
(connected to From SQL Azure
Database) and drag and drop its green
dangling line on to the Merge Join data flow transformation.
The Input Output Selection window will be
displayed as shown.
- Select
the Merge Join Left Input and
click OK.
- Repeat
the same for the other Sort on the right (this time select Merge Join Right Output).
This
Merge control now merges the output from the two sort controls and provides a
merged output.
You still need to
configure the Merge
Join.
- Double
click Merge Join to open the Merge Join Transformation
editor page as shown.
Read
the instructions on this window.
- Place
check mark for EmployeeID in both the Sort lists
shown in the top pane. The bottom pane gets populated with Input columns
and Output aliases. Make sure the join type is Left outer join as
in the above image (use drop-down handle if needed).
We can add for
each flow path a Data Viewer so that we can monitor the flow of data at run
time by momentarily stopping the flow downstream. We are skipping this
diagnostic step.
Porting output
data from Merge Join to an MS Access Database
We will be using
the merged data from the two sources to fill up a table in an MS Access 2003
database.
- In
the MS Access database you created while setting up the Connection
Managers create a table, Salary Report table with the design parameters
shown in the next image.
- Drag
and drop an OLE DB Destination
component from the Toolbox on
to the package designer pane just underneath the Merge Join component.
- Drag
and drop the green dangling line from Merge
Join to the OLE DB Destination component.
- Double
click the OLE DB Destination component to open its editor and fill
in the details as follows:
OLEDB connection manager: AccessSQLAzure
Data access mode: Table or View
Name of the table or view: Salary Report
- Click
Mappings to verify all the columns are
present.
- Build
the project and execute the package.
The
package elements turn yellow and later green indicating a successful run.
You
can verify the table in the access database for the transferred values. This
should have all the merged columns from the two databases. Note that in the
image, columns have been rearranged to move the Salary column into view.
This is an excerpt of Chapter 6 from my book:
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