Getting Started with IBM Data Studio for DB2

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104 Getting Started with IBM Data Studio for DB2 In the previous chapter, we covered basic database administrator tasks related to creating and managing database objects such as tables, and indexes. In this chapter, you will learn operational tasks that are critical to keeping the database up and running efficiently and to help prevent and recover from failures. These tasks become more and more critical as an application moves to a production environment, when database performance and availability become critical success factors for an application. This chapter outlines how some of these tasks can be performed with Data Studio. Note: You can learn more about related products in Chapter 11 to learn about advanced capabilities that are not included in Data Studio. 3.2 Managing storage and memory for better performance A DB2 data server can use the file system or raw devices to store data. The data storage in a DB2 data server is defined using table spaces. While you can create tables using a default table space, many database administrators need more control over how data is placed in storage and how to manage the characteristics of that storage and will want to explicitly place tables into specific table spaces, depending on their performance and access requirements.
Chapter 3 – Maintaining the database 105 When a query runs, the DB2 system fetches the required data into main memory for processing. The memory areas used to fetch the data from storage are called buffer pools. Again, because the performance requirements of tables and applications can differ, you may wish to have more control over memory usage by different tables. This section will define these storage and memory areas and explain how you can create and work with them. 3.2.1 Creating and managing table spaces A table space is a logical database object that maps the logical objects like tables, indexes, and so on, to the physical storage memory. It consists of containers, which could be an operating system file, directory, or a raw device. In this section, we will concentrate on files and containers. Raw devices, although supported, are not widely used in a typical database due to advances in disk and file system performance. A DB2 data server can have multiple types of table spaces depending on how the memory is managed and how the containers are defined: A system-managed table space is managed by the operating system and can have directories as its containers. A database-managed table space is managed by the database manager and can have files and raw devices as its containers. An automatic storage table space is the alternative system-managed and databasemanaged storage in which DB2 itself manages the containers. You just need to specify the path where the containers should be created and the maximum size that the DB2 server can use for these containers. A table space can also be categorized based on the type of data it stores–regular, large, or temporary. 3.2.1.1 Creating a table space To create a table space by using Data Studio: 1. Right-click the Table Spaces folder and select Create Regular Table Space, as shown in Figure 3.2.
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3 Notices This information was deve
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Table of contents 5 Table of conten
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3.3.1 Exporting data...............
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Chapter 7 - Tuning queries ........
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Preface 13 Keeping your skills curr
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around the world have participated
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17 About the authors Dimple Bhatia
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Contributors 19 The following peopl
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21 Acknowledgements The authors owe
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24 Getting Started with IBM Data St
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154 Getting Started with IBM Data S
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159 Chapter 5 - Creating SQL and XQ
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355 Appendix D - The Sample Outdoor
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Appendix E - Advanced topics for de
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E.5.4 Data web services artifacts A
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References 391 References [1] HAYES
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References 393 Books and articles 1
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396 Getting started with IBM Data S
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