
Front cover Introduction and Implementation of Data Reduction Pools and Deduplication Jon Tate Dionysios Kalofonos Carsten Larsen Atif Syed Kendall Williams Redbooks International Technical Support Organization Introduction and Implementation of Data Reduction Pools and Deduplication November 2018 SG24-8430-00 Note: Before using this information and the product it supports, read the information in “Notices” on page vii. First Edition (November 2018) This edition applies to IBM Spectrum Virtualize V8.1.3.2 (minimum recommended software level) and the associated hardware and software detailed within. Note that the screen captures included within this book might differ from the generally available (GA) version, because parts of this book were written with pre-GA code. © Copyright International Business Machines Corporation 2018. 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 . vii Trademarks . viii Preface . ix Authors. ix Now you can become a published author, too . xi Comments welcome. xi Stay connected to IBM Redbooks . xi Chapter 1. Architecture . 1 1.1 What Data Reduction Pools are . 2 1.1.1 DRP Volume types . 3 1.1.2 What is in a Data Reduction Pool . 5 1.1.3 Allocation block size . 5 1.2 RACE versus DRP . 6 1.2.1 Benefits . 8 1.3 Data Reduction Pools and unmap . 9 1.4 Data Reduction Pools with Easy Tier . 9 1.5 Garbage collection . 9 1.6 Data Reduction Pools with deduplication . 10 Chapter 2. Planning . 11 2.1 Data Reduction Pools benefits . 12 2.2 Planning considerations . 13 2.2.1 Data Reduction Pool characteristics . 13 2.2.2 Migration . 14 2.2.3 Limits. 16 2.2.4 Compression support . 17 Chapter 3. Implementation . 19 3.1 About data reduction . 20 3.2 Creating Data Reduction Pools. 22 3.3 Creating volumes in Data Reduction Pools. 28 3.4 Volume migration . 30 Chapter 4. Estimator and sizing tools. 37 4.1 Evaluate compression savings using comprestimator . 38 4.2 Evaluating workload using Data Reduction Estimator Tool. 41 4.3 Evaluating workload using Disk Magic . 41 Chapter 5. Best practices and guidelines. 43 5.1 RACE and DRP overview . 44 5.1.1 DRP performance benefits . 44 5.1.2 DRP performance improvements . 44 5.1.3 Garbage collection . 48 5.1.4 Inter-node ports. 50 5.1.5 SVC with Storwize family back-end controllers. 51 5.1.6 SVC with external back-end controllers . 51 5.1.7 Storwize family with external back-end controllers . 51 © Copyright IBM Corp. 2018. All rights reserved. iii 5.2 When to use DRP Compression . 51 5.2.1 When to use DRP deduplication . 52 5.3 Performance monitoring . 52 5.3.1 Total port data rate by port . 52 5.3.2 Total SVC node data rate . 52 Chapter 6. Troubleshooting . 55 6.1 Troubleshooting and fix procedures . 56 6.1.1 Managing event log. 57 6.1.2 Running a fix procedure . 58 6.1.3 Event log details . 63 6.2 SVC Event Log Definitions for DRP . 64 6.2.1 Event ID 060001 . 64 6.2.2 Event ID 060002 . 65 6.2.3 Event ID 060003 . 65 6.2.4 Event ID 060004 . 65 6.2.5 Event ID 060005 . 65 6.2.6 Event ID 060006 . 66 6.2.7 Event ID 060007 . 66 6.2.8 Event ID 060008 . 66 6.2.9 Event ID 060009 . 66 6.2.10 Event ID 060010 . 66 6.2.11 Event ID 060011 . 67 6.2.12 Event ID 986001 . 67 6.2.13 Event ID 986002 . 67 6.2.14 Event ID 986010 . ..
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