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In today's economy, businesses and IT professionals cannot afford to lag behind the latest technologies. Data warehousing is a critical area to the success of many enterprises, and Oracle Warehouse Builder is a powerful tool for building data warehouses. It comes free with the latest version of the Oracle database.Written in an accessible, informative, and focused manner, this book will teach you to use Oracle Warehouse Builder to build your data warehouse. Covering warehouse design, the import of source data, the ETL cycle and more, this book will have you up and running in next to no time.This book will walk you through the complete process of planning, building, and deploying a data warehouse using Oracle Warehouse Builder. By the book's end, you will have built your own data warehouse from scratch.Starting with the installation of the Oracle Database and Warehouse Builder software, this book then covers the analysis of source data, designing a data warehouse, and extracting, transforming, and loading data from the source system into the data warehouse. You'll follow the whole process with detailed screenshots of key steps along the way that have all been updated for the new Fusion Client Platform interface in 11gR2, alongside numerous tips and hints not covered by the official documentation. You’ll finish up with a brand new chapter on code templates where you’ll implement a complete mapping using JDBC connectivity and code template mappings.
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Author
Bob Griesemer
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Bob Griesemer has over 27 years of software and database engineering/DBA experience in both government and industry, solving database problems, designing and loading data warehouses, developing code, leading teams of developers, and satisfying customers. He has been working in various roles involving database development and administration with the Oracle Database with every release since Version 6 of the database from 1993 to the present. He has also been performing various tasks, including data warehouse design and implementation, administration, backup and recovery, development of Perl code for web-based database access, writing Java code utilizing JDBC, migrating legacy databases to Oracle, and developing Developer/2000 Oracle Forms applications. He is currently an Oracle Database Administrator Certified Associate , and is employed by the Northrop Grumman Corporation, where he is currently a Senior Database Analyst on a large data warehouse project.
I'd like to thank David Allan of the Oracle Warehouse Builder development team at Oracle for agreeing to review the book and for putting up with my numerous questions and requests for clarification. His input was extremely beneficial in explaining new functionality of OWB. I'd like to acknowledge my co-worker Ed Cody, whose work on his book, The Business Analyst's Guide to Oracle Hyperion Interactive Reporting 11, with Packt Publishing, inspired me to get started on the second edition of my book. Lastly and most importantly, of course, to my family, wife Lynn and children Robby, Melanie, Hilary, Christina, Millie and Mikey, thanks for being the inspiration and motivation behind everything I do.
Ehsun Behravesh is a 27 year old software engineer with Khorasan Newspaper (http://www.khorasannews.com) in Mashhad, Iran. He holds a Bachelors degree from London Metropolitan University (http://www.londonmet.ac.uk/). He started programming when he was in high school and has developed software systems for almost 10 years. He is a fan of open source software and one of his open source projects, MyPasswords (http://sourceforge.net/projects/mypasswords7/), won a comparison competition in Linux Format, Jan 2011 magazine. He loves computer programming, music, and animals.
I want to thank my wife who has always encouraged me to work and study. I also want to thank my parents who helped me to study abroad.
David Allan has 20 years of experience in software development and over 10 years of experience in data warehouse tooling. In his current role, he is one of the architects responsible for Oracle's data integration portfolio, and as such, he takes a leading role in working with Oracle Warehouse Builder and Oracle Data Integrator. David is well-known for his blog on Oracle Warehouse Builder where he provides users with real-world examples and in-depth product knowledge.
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Competing in today's world requires a greater emphasis on strategy, long-range planning, and decision making, and this is why businesses are building data warehouses. Data warehouses are becoming more and more common as businesses have realized the need to mine the information that is stored in electronic form. Data warehouses provide valuable insight into the operation of a business and how best to improve it. Organizations need to monitor their processes, define policy, and at a more strategic level, define the visions and goals that will move the company forward in the future. If you are new to data warehousing in general, and to Extract, Transform, and Load (ETL) in particular, and need a way to get started, the Oracle Warehouse Builder is a great application to use to build your warehouse. The OracleWarehouseBuilder (OWB) is a tool provided by Oracle that can be used at every stage of the implementation of a data warehouse right from the initial design and creation of the table structure to ETL and data-quality auditing.
We will build a basic data warehouse using the latest release of Oracle Warehouse Builder, 11gR2. It has the ability to support all phases of the implementation of a data warehouse from designing the source and target information, the mappings to map data from source to target, the transformations needed on the data, and building the code to implementing the mappings to load the data. You are free to use any or all of the features in your own implementation.
This book is an introduction to the Oracle Warehouse Builder (OWB).This is an introductory, hands-on book so we will be including in this book the features available in Oracle Warehouse Builder 11gR2 that we will need to build our first data warehouse.
The chapters are in chronological order to flow through the steps required to build a data warehouse with a couple of chapters at the end on special topics, including one devoted to a major new feature of OWB 11gR2, code templates. So if you are building your first data warehouse, it is a good idea to read through each chapter sequentially to gain maximum benefit from the book. Those who have already built a data warehouse and just need a refresher on some basics can skip around to whatever topic they need at that moment.
We'll use a fictional toy company, ACME Toys and Gizmos, to illustrate the concepts that will be presented throughout the book. This will provide some context to the information presented to help you apply the concepts to your own organization. We'll actually be constructing a simple data warehouse for the ACME Toys and Gizmos company. At the end of the book, we'll have all the code, scripts, and saved metadata that was used. So we can build a data warehouse for practice, or use it as a model for building another data warehouse.
Chapter 1, An Introduction to Oracle Warehouse Builder, starts off with a high-level look at the architecture of OWB and the steps for installing it. It covers the schemas created in the database that are required by OWB, and touches upon some installation topics to provide some further clarification that is not necessarily found in the Oracle documentation. Most installation tasks can be found in the Oracle README files and installation documents, and so they won't be covered in depth in this book.
Chapter 2, Defining and Importing Source Data Structures, covers the initial task of building a data warehouse from scratch, that is, determining what the source of the data will be. OWB needs to know the details about what the source data structures look like and where they are located in order to properly pull data from them using OWB. This chapter also covers how to define the source data structures using the Data Object Editor and how to import source structure information. It talks about three common sources of data—flat files, Oracle Databases, and Microsoft SQL Server databases—while discussing how to configure Oracle and OWB to connect to these sources.
Chapter 3, Designing the Target Structure, explains designing the data warehouse target. It covers some options for defining a data warehouse target structure using relational objects (star schemas and snowflake schemas) and dimensional objects (cubes and dimensions). Some of the pros and cons of the usage of these objects are also covered. It introduces the Warehouse Builder for design and starts with the creation of a target user and module.
Chapter 4, Creating the Target Structure in OWB, implements the design of the target using the Warehouse Builder. It has step-by-step explanations for creating cubes and dimensions using the wizards provided by OWB.
Chapter 5, Extract, Transform, and Load Basics, introduces the ETL process by explaining what it is and how to implement it in OWB. It discusses whether to use a staging table or not, and describes mappings and some of the main operators in OWB that can be used in mappings. It introduces the Warehouse Builder Mapping Editor, which is the interface for designing mappings.
Chapter 6, ETL: Putting it Together, is about creating a new mapping using the Mapping Editor. A staging table is created with the Data Object Editor, and a mapping is created to map data directly from the source tables into the staging table. This chapter explains how to add and edit operators, and how to connect them together. It also discusses operator properties and how to modify them.
Chapter 7, ETL: Transformations and Other Operators, expands on the concept of building a mapping by creating additional mappings to map data from the staging table into cube and dimensions. Additional operators are introduced for doing transformations of the data as it is loaded from source to target.
Chapter 8, Validating, Generating, Deploying, and Executing Objects, covers in great detail the validation of mappings, the generation of the code for mappings and objects, and deploying the code to the target database. This chapter introduces the Control Center Service, which is the interface with the target database for controlling this process, and explains how to start and stop it. The mappings are then executed to actually load data from source to target. It also introduces the Control Center Manager, which is the user interface for interacting with the Control Center Service for deploying and executing objects.
Chapter 9, Extra Features, covers some extra features provided in the Warehouse Builder that can be very useful for more advanced implementations as mappings get more numerous and complex. The metadata change-management features of OWB are discussed for controlling changes to mappings and objects. This includes the recycle bin, cutting/copying and pasting objects to make copies or backups, the snapshot feature, and the metadata loader facility for exporting metadata to a file. Keeping objects synchronized as changes are made is discussed, and so is the auto-binding of tables to dimensional objects. Lastly, some additional online references are provided for further study and reference.
Chapter 10, Code Template Mappings, covers a major new feature of the 11gR2 release of OWB—code templates, which are the knowledge module functionality brought over into OWB from Oracle Data Integrator. It includes detailed descriptions of implementing a JDBC connection to an external database and the implementation of a code template mapping to access it. It includes discussion of the main code templates provided by default with OWB 11gR2 and describes everything you need to know to implement your first code template mapping.
The following software is required for this book:
If you are new to data warehousing and you have to build your first data warehouse using OWB, or have implemented a data warehouse using another tool and are now using OWB for the first time, this book is for you. You can also use it as a refresher if you are a more advanced user. An ever-increasing number of businesses are implementing data warehouses and if you are reading this book, then yours too has most likely chosen to implement one.
This book is for anyone tasked with building a data warehouse and loading data into it using Oracle Warehouse Builder. It is primarily aimed at database administrators and engineers who are new to data warehousing and are building a data warehouse for the first time using OWB. This book can also be used as a refresher on basic OWB features. Think of it as a beginner's guide to OWB. It can be helpful for any IT professional looking to broaden his or her knowledge about data warehousing in general and Oracle Warehouse Builder in particular.
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The OracleWarehouseBuilder (OWB) is what this book is all about, so let's start discussing it by looking at it from a high level. We'll talk about some installation topics and the various components that compose this application. Oracle provides some detailed installation documentation and user guides that give you step-by-step instructions on how to install the product and the prerequisites we need to have in place. So we will focus more on some general topics that will help us understand the installation better. We'll walk through a basic installation that can be followed along and actually performed while reading. We'll be accepting most of the defaults during the installation for simplicity. For more advanced installation requirements, dig into the Oracle installation documentation to get familiar with the options that are available. You can find this at http://www.oracle.com/pls/db112/homepage by clicking on the Installing and Upgrading link in the left hand frame.
In this chapter we're going to cover the following specific topics:
Although you may not be familiar with data warehousing, you have probably at least heard the term. Data warehouses are becoming increasingly common as businesses have realized the need to be able to mine the information they have stored in the electronic form in order to provide a valuable insight into the operation of their business and how best to improve it. Organizations need to monitor these processes, define policies, and—at a more strategic level—define the visions and goals that will move the company forward in the future. Operational transactional systems have greatly benefited the daily functioning of the enterprise. But now, organizations are shifting to a more decisional-based requirement from their computing platforms and are looking to build data warehouses. This is where OWB enters the picture to help organizations with the task of building that data warehouse.
The manuals that Oracle supplies with its database and applications contain a great deal of information. However, it can be hard to relate that information to the real-world ways of implementing the database and applications. Anyone who has ever tried to read a technical user guide or reference provided with a database or application will know what that means. It is a great benefit to be able to learn about a new software tool by seeing how that tool is actually used within the context of an actual organization conducting a business. This is precisely the focus of this book. We'll be building an actual data warehouse using a fictional organization as an example.
Before we talk about what a data warehouse is, let's get introduced to the fictional organization we'll be using to demonstrate the use of the Warehouse Builder to build a data warehouse. Throughout this book, we will be using examples of the concepts involved by making reference to a fictional organization named ACME ToysandGizmos, which is sales oriented. It is an entirely made-up organization, and any similarity to a real company is completely coincidental. This book will provide explanations throughout on how to use the OWB tool to build a data warehouse within the context of this invented company, which is involved in storefront and online Internet sales. Thus, it will demonstrate practical ways of implementing a data warehouse that can be directly applied in the real world.
ACME Toys and Gizmos will have stores all over the United States as well as a number of other countries, and will also have an online storefront for Internet sales. The online transactional processing systems (OLTP) play a huge role in the functioning of any business today, especially in the operation of a sales-oriented business. So this makes a good example to illustrate the subject matter of data warehousing and how to take information from those OLTP systems to load our warehouse.
Although we'll be using a sales organization for our examples, the concepts we'll discuss can apply to any business and will be as generic as possible to assist in doing that.
We've discussed the business case for implementing a data warehouse by showing how companies these days need information to support strategic-level decision making. We've also introduced the fictional organization that we'll use to provide examples of the concepts we'll be presenting. But we've not yet explained what a data warehouse is.
We will not be dealing in detail with the concept of a data warehouse as that topic would encompass the entire contents of a book by itself. There are a number of good books already written about that topic. Therefore, we will touch upon some high-level concepts only as an introduction and to provide a context for using OWB to build a data warehouse.
Fundamentally, a data warehouse is a decisional database system. It is designed to support the decision makers in the organization in ways a transactional processing system is ill-equipped to handle, such as the strategic-level goals and visions of an organization. To think strategically, a large amount of data over long periods of time is needed. Transactional systems are concerned with the day-to-day operations such as: How many dolls did we sell today and will we need to restock the inventory? How many orders were processed today? How many balls were shipped out today? The strategic thinkers are more concerned with questions such as: How many dolls did we sell today compared to the same time period in the last year? How has our inventory level been for the last few months?
To support that level of information, we need more data than what is provided by the day-to-day transactions. We'll need much more information compiled over greater time periods and this is where the data warehouse comes in. As a data warehouse is different from a transactional database, there are some unique terms used to describe the data it contains. There are also other techniques that should be employed for designing the database for a data warehouse, which would not be a good idea for a transactional database.
The data in a data warehouse is composed of facts (actual numerical measures) and dimensions (descriptive data about those measures) that place the facts in a context that is understandable to the end-user decision maker. For instance, a customer makes a purchase of a toy with ACME Toys and Gizmos on a particular day over the Internet, which results in a dollar amount of the transaction. The dollar amount becomes the fact and the toy purchased, the customer, and the location of the purchase (the Internet in this case) become the dimensions that provide a scope of the fact measurement and give it a meaning.
The design of a data warehouse should be different from that of a transactional database. The data warehouse must handle large amounts of data, and must be simple to query and understand by the end users. While relational techniques and normalization are excellent database design methods for transactional systems to ensure data integrity, they can make understanding a data warehouse difficult for the end users. They can also bog down a data warehouse with long-running queries that have to make use of many joins (including more than one table that share a common data element to look up additional data).
A much better means of representing the data is to de-normalize the data, so that users will not have to be concerned with retrieving the data from multiple tables. The use of foreign keys (a column that references a row in another table) should be restricted in a data warehouse. The outcome is a fact table with foreign keys only to each of the dimension tables. The diagram of the database structure has a fact table in the middle surrounded by dimension tables, resulting in something that looks like a star. Thus, the term star schema is used to refer to this representation of a data warehouse. It is also possible that these dimensions may themselves have other tables surrounding them, resulting in something akin to a snowflake. Thus, the term snowflake schema is also used. This is the dimensional modeling technique of representing a data warehouse.
This design lends itself extremely well to the task of querying large amounts of data by the end users. Users do not have to be bothered with queries involving complicated joins with multiple tables to get the descriptive information they need. This is because the information is included directly in the dimension tables in a de-normalized fashion. If a manager for ACME Toys and Gizmos needs to know what products sold well in the last quarter, the query will only involve two tables—the main fact table containing the data on number of items sold and the product dimension table that contains all the information about the product. The de-normalization means the manager will not have to be concerned with looking up product information in any other tables, as all the details about the product will be included in the one dimension table.
All this is great background information on data warehouses, but you can read any number of other books for much more detailed material on the topic. Our purpose in this book is to introduce the Oracle Warehouse Builder and use it to design and build our first data warehouse. So, let's see how it fits in to this discussion of data warehousing.
The Oracle Warehouse Builder is a tool provided by Oracle, which can be used at every stage of the implementation of a data warehouse, from initial design and creation of the table structure to the ETL process and data-quality management. So, the answer to the question of where it fits in is—everywhere. It is provided as a part of the Oracle Database Release 11g installation. For the previous Oracle Database Releases, it can be downloaded and installed from Oracle's website as a free download.
We can choose to use any or all of the features as needed for our project, so we do not need to use every feature. Simple data warehouse implementations will use a subset of the features and as the data warehouse grows in complexity, the tool provides more features that can be implemented. It is flexible enough to provide us a number of options for implementing our data warehouse as we'll see in the remainder of the book.
We'll be using the latest version of the database as of this writing—Oracle Database 11g Release 2—and the corresponding version of OWB that (as of this release) is included with the database install. If you have that version of the database installed already, you can skip this section and move right on to the next. If not, then keep reading as we discuss the installation of the database software.
We can download the Oracle database software from Oracle's website, provided we adhere to their license agreement. This agreement basically says we agree to use the database and the accompanying software either for development of a prototype of our application or for our own learning purposes. If we proceed to use this application internally or make it commercially available, then we will need to purchase a license from Oracle. For the purpose of working through the contents of this book to learn OWB, we need to install the database, which is covered under the license agreement for the free download.
We can find the database on the OracleTechnologyNetwork website (http://www.oracle.com/technology). The main database download is usually the first download listed under TOP DOWNLOADS on the main page. We need to register on the site, in order to create an account, before it lets us download any files, but there is no charge for that. The download files are classified by the platform on which they can be executed, so we'll choose the one for the system we'll be hosting the database on. We'll have to accept the license agreement first before the web page will let us download the files. The download files are anywhere from 1.7 GB to 2.3 GB in size, depending on the platform we'll be hosting it on. So we do not want to attempt this download unless we have a Broadband Internet connection (that is, cable, DSL, and so on). We'll download the install files and unzip them to a folder on a drive with enough available space. The installation files are temporary and are not needed after the installation is done, so we'll be able to delete them to free up space if needed.
When installing software of this magnitude, we have to decide whether we'll have to buy additional hardware and a different operating system to run the database and OWB. OWB will run in Oracle Database 10gR2 or later Standard or Enterprise Editions.
We'll be using the most recent version of OWB throughout this book. We can download older versions of OWB that will run on older versions of the database, but we will not have the benefit of the improvements as in the latest version of the software. Much of what we'll be doing with the software throughout the course of the book can also be done on previous versions of the software. However, due to the changes made to things such as the interface, it would be easiest to follow along using the most recent version.
For this book, the platform is Windows 7 with Oracle Database 11g Release 2 (11.2.0.1) Enterprise Edition (which is the most recent version as of this writing), which is available from the download site. The Enterprise Edition of the database was chosen because it allows us to make full use of the features of the Warehouse Builder, especially in the area of dimensional modeling. There are some errors that will be generated by the client software when running in the Standard Edition installation due to code dependencies. These code dependencies are in libraries that are installed with the Enterprise Edition, but not the Standard Edition. We could use OWB with the Standard Edition, but then we would be limited in the type of objects we could deploy. For instance, dimensions and cubes would be problematic, and without using them we'd be missing out on a major functionality provided by the tool. If we want to develop any reasonably-sized data warehouse, the Enterprise Edition is the way to go.
Everything that we'll work through in this book was done in an Oracle VM VirtualBox virtual machine on a laptop personal computer with an Intel Core 2 processor running at 1.67 GHz and 4 GB of RAM. Oracle says 1 GB of RAM will suffice so the virtual machine was configured with 1209MB of memory. Minimum specifications usually result in underpowered systems for all but the very basic processing but for the purpose of working through the tasks described in this book it will be sufficient. In terms of hard disk space, Oracle specifies that 4.5 GB is required for the basic database installation. We'll need about 2 GB just to save the installation files, so to make sure we have plenty of space, we should plan for something between 10 GB and 15 GB of available disk space just to be safe. We don't want to install the database software and then find that we don't have any space on our hard drive. The VirtualBox machine was configured with 30GB of disk space.
Oracle supports its database installed on Windows and Unix. For Windows, it supports Windows XP Professional or Windows Vista or Windows 7 (Business Edition, Enterprise Edition, or Ultimate Edition) as well as Windows Server 2003 and 2008. The system mentioned above that was used for writing this book and working through all the examples, is running Windows Vista Home Premium Edition with Service Pack 2 and the database installed runs on the VirtualBox VM in Windows 7 Home Premium. We certainly would not want to use this configuration for large production databases, but it works fine for simple databases and learning purposes. The installation program will first do a prerequisite check of the computer and will flag any problems that it sees, such as not enough memory or an incorrect version of the operating system. For working through this book on our own to learn about the Warehouse Builder, we should be OK as long as we are running XP ,Vista, or Windows 7. However, for business users who would be installing the Oracle Database and OWB for use at work using Windows, it would be a good idea to stick with the recommended configurations of Windows XP Professional, Windows Vista or 7 (Business Edition, Enterprise Edition, and Ultimate Edition), or Windows Server.
Server versus workstation
We don't have to use a computer that is configured as a server to host the Oracle database. It will get installed on a regular workstation as long as the minimum system requirements are met. However, we might encounter a minor issue. A workstation is usually configured to use Dynamic Host Configuration Protocol (DHCP) to obtain its IP address. This means the address is not specified as a fixed address and can change the next time the system boots up. The Oracle database requires a fixed address to be assigned, and it can install on a system with DHCP. But it will also require the Microsoft Loopback Adapter to be installed as the primary network interface to provide that fixed address. If this situation is encountered, the installer prerequisite checks will alert us to that and give us instructions on how to proceed. It will not harm our existing network configuration to install that option. That is the way the laptop mentioned above was configured for this book project.
So far we've decided what system we're going to host the database on, downloaded the appropriate install file for that system, and unzipped the install files into a folder to begin the installation. We'll navigate to that folder and run the setup.exe file located there. This will launch the Oracle Universal Installer program to begin the installation. Those of us with experience installing the Oracle Database from prior versions will immediately notice the installer for 11gR2 has a slightly different look. It is more like a setup program for the database than the Universal Installer we're used to from previous versions, including the first edition of this book.
We are installing the full database, which now automatically includes the Warehouse Builder client and database components. If we had an older version of the database (10g R2 for example) that did not include the Warehouse Builder software, or if we wanted to run the client on a different workstation than where the database software is installed, then there is the option to install the Warehouse Builder by itself.
A separately downloadable install for the standalone option is available at http://www.oracle.com/technology/software/products/warehouse/index.html. Skip ahead to the section titled Installing the OWB standalone software if just the Warehouse Buildersoftware is needed.
Your database configuration files have been installed in C:\app\bob while other components selected for installation have been installed in C:\app\bob\product\11.2.0\dbhome_1. Be cautious not to accidentally delete these configuration files.
The "bob" in the above paths will be whatever username was used to install as. Also, this message will probably be on one long line requiring the scroll bar to read it all.
We will click Close to end the installation.Basic versus advance install
The installation method we're following here is the quickest and easiest, but makes many decisions for us that more advanced options will ask us about like creating a database and Desktop vs Server installs. For the purpose of working through the examples in this book, we will be OK with the basic installation. But if we were installing for a production environment, we would want to read through the Oracle Database Installation Guide(http://www.oracle.com/technology/documentation/database.html; click on View Library to view the documentation online or click on Download to download the documentation) to familiarize ourselves with the various situations that would require us to use the more advanced installation options. This would ensure that we don't end up with a database installation that will not support our needs.
Location of install results
A good idea is to pay particular attention to the inventory location on the Step 8 summary screen, which tells us where we can find a log of the installation. The logs that the installer keeps are stored in the Oracle folder on the system drive in the following subfolder: C:\Program Files\Oracle\Inventory\logs. The files are named with the following convention: install ActionsYYYY-MM-DD_HH-MI-SSPM where YYYY is the year, MM the month, DD the day, HH the hour, MI the minutes, SS the seconds of the time the installation was performed, and PM is either AM or PM. The files will have a .log extension. This information may come in useful later to see just what products were installed. The folder also will contain any errors encountered during the installation in files with a file extension of .err and any output generated by the installer in files with a file extension of .out.
Now that the software is installed, it's time to proceed with creating a database. But there is one step we have to do first—we need to configure the listener.
The listener is the utility that runs constantly in the background on the database server, listening for client connection requests to the database and handling them. It can be installed either before or after the creation of a database, but there is one option during the database creation that requires the listener to be configured—so we'll configure it now, before we create the database.
Run Net Configuration Assistant to configure the listener. It is available under the Oracle menu on the Windows Start menu as shown in the following image:
The welcome screen will offer us four tasks that we can perform with this assistant. We'll select the first one to configure the listener, as shown here:
The next screen will ask you what we want to do with the listener. The four options are as follows:
Only the Add option will be available since we are installing Oracle for the first time. The remainder of the options will be grayed out and will be unavailable for selection. If they are not, then there is a listener already configured and we can proceed to the next section—Creating the database.
For those of us installing for the first time on our machines, we need to proceed with the configuration. The next screen will ask us what we want to name the listener. It will have LISTENER entered by default and that's a fine name, which states exactly what it is, so let's leave it at that and proceed.
The next screen is the protocol selection screen. It will have TCP already selected for us, which is what most installations will require. This is the standard communications protocol in use on the Internet and in most local networks. Leave that selected and proceed to the next screen to select the port number to use. The default port number is 1521, which is standard for communicating with Oracle databases and is the one most familiar to anyone who has ever worked with an Oracle database. So, change it only if you want to annoy the Oracle people in your organization who have all memorized the default Oracle port of 1521.
To change or not change the default listener port
Putting aside the annoyance, the Oracle people might have to suffer as there are valid security reasons why we might want to change that port number. Since it is so common, the people accustomed to working with the Oracle database aren't the only people who know that port number. Hackers looking to break into an Oracle database are going to go straight for that port number, so if we change it to something obscure, the database will be harder to find on the network for the people with malicious intent. If it does get changed, be sure to make a note of the assigned number.
There also may be firewall issues that allow only certain port numbers to be open through the firewall, which means communication on any of the other port numbers would be blocked. 1521 might be allowed by default since it is common for the Oracle database. It would be a good idea to check with the network support personnel to get their recommendation.
That is the last step. It will ask us if we want to configure another listener. Since we only need one, we'll answer "no" and finish out the screens by clicking on the Finish button back on the main screen.
So far we have the Oracle software installed and a listener configured, but we have not created a database.
We will install a new database using Database Configuration Assistant, which Oracle provides to walk us step-by-step through the process of creating a database. It is launched from the Windows Start menu as shown in the following image:
Running this application may require patience as we have to wait for the application to load after it's selected. Depending on the system it is running on, it can take over a minute to display, during which time there is no indication that anything is happening. It may be tempting to just select it again from the Start menu because it appears it didn't work the first time, but don't as that will just end up running two instances of the program. It will appear soon. The following are steps in the creation process:
In previous versions of the database, Automatic Storage Management could be configured as well however as of 11gR2, ASM has its own configuration assistant now, ASMCA. It is Oracle's feature for databases for automatically managing the layout and storage of database files on the system. These are both topics for a more advance book on the Oracle Database. We will be creating a database using an existing template.
This step will offer the following three options for a database template to select:If this database is being created for business use, a good naming scheme would reflect the purpose of the database. Since we're creating this database for the data warehouse of ACME Toys and Gizmos Company, we'll choose a name that reflects this—ACME for the company name and DW for data warehouse, resulting in a database name of ACMEDW. It is important to remember this name as it will be a part of any future connections to the database.
As the database name is typed in, the SID (or Oracle System Identifier) is automatically filled in to match it. If the domain is added to the database name, the SID will stop pre-populating after the first period is entered. The end result is that the SID becomes the same as the first part of the database name.
This step of the database creation process asks whether we want to configure Enterprise Manager. The box is checked by default and left as it is. This is a web-based utility Oracle provides for controlling a database, and as it is very useful to have, we will want to enable it. There are two options for controlling a database: registering with Grid Controlor local management. Grid Control is Oracle's centralized feature for controlling a grid, a network of loosely coupled modular hardware and software components that can be joined and rejoined together on demand to meet business needs. That is what the "g" in Oracle Database 11g stands for. If your network is not configured in a grid architecture, or you are installing on a standalone machine, then choose the local management option. It will automatically detect a Grid Control agent that is running locally, and if it doesn't find one, the Grid Control option will be grayed out anyway. In that case, you will only be able to select local management.New in the 11gR2 version of the DBCA is the additional tab on this screen for the Automatic Maintenance option. This step used to be all by itself as step 12 of the install process. We'll deselect that option and move on, since we don't need that additional functionality. Automatic Maintenance Tasks are tasks that run in predefined maintenance windows of time to perform various preconfigured maintenance operations on the database. Since the database for this book is only for learning purposes, it is not critical that these maintenance tasks be done automatically. Automatic maintenance is designed to run during preset maintenance windows, which are usually in the middle of the night. So if the database system is shut down every day, there wouldn't be a good window to run the tasks on regularly anyway. If installing in a production environment with servers that will be running 24 hours a day every day, then consider setting up the automatic maintenance to occur. Oracle provides three pre-configured maintenance tasks to choose from—collecting statistics for the query optimizer (for improving performance of SQL queries), Automatic Segment Advisor for analyzing storage space for areas that can possibly be reclaimed for use, and the Automatic SQL Tuning Advisor for automatically analyzing SQL statements for performance improvements.If an error is encountered at some point during the database creation that indicates a listener is not configured, it simply means we started the DBCA before configuring a listener. To solve that, there is no need to exit out of the database install window, just go back and perform the listener install steps and come back here where the screen will allow us to proceed.
