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IBM Soliddb: Delivering Data with Extreme Speed Front cover IBM® Information Management Software IBM solidDB Delivering Data with Extreme Speed Provides low latency, high throughput, and extreme availability Offers fully featured relational in-memory database software Has universal cache with shared memory access Marko Milek Chuck Ballard Michael Roche Dan Behman John Seery Asko Huumonen Katriina Vakkila Kyosti Laiho Jamie Watters Jan Lindstrom Antoni Wolski ibm.com/redbooks International Technical Support Organization IBM solidDB: Delivering Data with Extreme Speed May 2011 SG24-7887-00 Note: Before using this information and the product it supports, read the information in “Notices” on page ix. First Edition (May 2011) This edition applies to Version 6.5 of IBM solidDB (product number 5724V17) and IBM solidDB Universal Cache (product number 5724W91). © Copyright International Business Machines Corporation 2011. All rights reserved. Note to U.S. Government Users Restricted Rights -- Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents Notices . ix Trademarks . x Preface . xi The team who wrote this book . xii Now you can become a published author, too! . xv Comments welcome. xvi Stay connected to IBM Redbooks . xvi Chapter 1. Introduction. 1 1.1 The opportunity of the in-memory database . 2 1.1.1 Disk databases cannot expand to memory . 2 1.1.2 IBM solidDB IMDB is memory-friendly . 3 1.1.3 Misconceptions . 5 1.1.4 Throughput and response times . 7 1.2 Database caching with in-memory databases. 9 1.2.1 Databases are growing . 9 1.2.2 Database caching off-loads the enterprise server. 10 1.2.3 IBM solidDB Universal Cache . 10 1.3 Applications, competition, and the marketplace . 11 Chapter 2. IBM solidDB details . 13 2.1 Introduction . 14 2.2 Server architecture . 15 2.2.1 Database access methods and network drivers . 16 2.2.2 Server components . 18 2.3 Data storage in solidDB. 20 2.3.1 Main-memory engine . 21 2.3.2 Disk-based engine . 22 2.4 Table types . 24 2.4.1 In-memory versus disk-based tables . 24 2.4.2 Persistent versus non-persistent tables . 25 2.4.3 Choosing between different table types . 26 2.5 Transactionality . 27 2.5.1 Concurrency control and locking. 27 2.5.2 Isolation levels. 29 2.5.3 Durability levels . 30 2.6 solidDB SQL extensions . 31 2.6.1 solidDB SQL standard compliance . 32 © Copyright IBM Corp. 2011. All rights reserved. iii 2.6.2 Stored procedures. 32 2.6.3 Triggers . 33 2.6.4 Sequences . 33 2.6.5 Events . 34 2.6.6 Replication . 35 2.7 Database administration . 36 2.7.1 Configuration settings . 36 2.7.2 ADMIN COMMAND. 37 2.7.3 Data management tools . 37 2.7.4 Database object hierarchy . 38 Chapter 3. IBM solidDB Universal Cache details . 39 3.1 Architecture . 40 3.1.1 Architecture and key components. 40 3.1.2 Principles of operation. 41 3.2 Deployment models. 45 3.3 Configuration alternatives . 46 3.3.1 Typical configuration . 46 3.3.2 Multiple cache nodes . 47 3.3.3 SMA for collocation of data . 47 3.3.4 solidDB HSB servers for high availability . 49 3.4 Key aspects of cache setup . 50 3.4.1 Deciding on the replication model . 50 3.4.2 Defining what to replicate . 52 3.4.3 Starting replication . 56 3.5 Additional functionality for cache operations . 56 3.5.1 SQL pass-through . 56 3.5.2 Aging . 58 3.5.3 Improving performance with parallelism . 60 3.6 Increasing scale of applications . 63 3.6.1 Scaling strategies . 63 3.6.2 Examples of cache database applications . 64 3.7 Enterprise infrastructure effects of the solidDB Universal Cache . 65 3.7.1 Network latency and traffic . 65 3.7.2 Back-end machine load. 65 3.7.3 Database operation execution . 66 Chapter 4. Deploying solidDB and Universal Cache . 67 4.1 Change and consideration . 68 4.2 How to develop applications that use solidDB . 68 4.2.1 Application program structure . 68 4.2.2 ODBC . 70 4.2.3 JDBC. 74 iv IBM solidDB: Delivering Data with Extreme Speed 4.2.4 Stored procedures. 77 4.2.5 Special considerations . 79 4.3 New application development on solidDB UC. 84 4.3.1 Awareness of separate database connections . 85 4.3.2 Combining data from separate databases in a transaction. 87 4.3.3 Combining data from different databases in a query . 87 4.3.4 Transactionality with Universal Cache . 88 4.3.5 Stored procedures in Universal Cache architectures . 88 4.4 Integrate an existing application to work with solidDB UC . 89 4.4.1 Programming interfaces used by the application . 89 4.4.2 Handling two database connections instead of one . 90 4.5 Data model design . 91 4.5.1 Data model design principles . 91 4.5.2 Running in-memory and disk-based tables inside solidDB . 92 4.5.3 Data model design for solidDB UC configurations . 94 4.6 Data migration.
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