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Performance of Oracle Database 12C Analytical Workload on IBM Power Systems Built with POWER9 Processor Technology

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Performance of Oracle Database 12C Analytical Workload on IBM Power Systems Built with POWER9 Processor Technology Performance of Oracle Database 12c analytical workload on IBM Power Systems built with POWER9 processor technology ........ Ravisankar Shanmugam Co-Authors: Arun Sar, Wayne T. Martin IBM Oracle International Competency Center February 2019 © Copyright IBM Corporation, 2019. All Rights Reserved. All trademarks or registered trademarks mentioned herein are the property of their respective holders Table of contents Abstract ..................................................................................................................................... 1 Executive Overview .................................................................................................................. 1 Testing an IBM Power S924 server, Oracle Database 12c, and IBM FlashSystem 840 ........ 1 Oracle Database 12c Release 2 on IBM Power S924 experiences ........................................................ 2 Analytical workload ............................................................................................................ 2 Strength of Power S924 for Oracle Database workloads ........................................................................ 4 IBM Power Systems POWER9 S class servers ...................................................................... 5 IBM FlashSystem ...................................................................................................................... 6 IBM AIX and Linux support ...................................................................................................................... 8 Recommended code levels ............................................................................................... 9 Service strategy ................................................................................................................. 9 C and C++ compilers ............................................................................................................................... 9 Oracle Database and IBM Power Systems............................................................................ 10 Tuning tips .............................................................................................................................. 11 Oracle Database licensing on IBM Power Systems ............................................................. 11 Summary ................................................................................................................................. 12 About the authors ................................................................................................................... 13 Document Resources ............................................................................................................. 14 Trademarks and special notices ........................................................................................... 15 Performance of Oracle Database 12c analytical workload on IBM Power Systems built with POWER9 processor technology http://www.ibm.com/support/techdocs © Copyright 2019, IBM Corporation Abstract This paper provides educational comparative performance information for Oracle Database Release 12c Row and In-Memory access of data for analytical queries running on an IBM Power Systems™ S924 scale-out server with POWER9™ processors. Executive Overview The testing conducted with the Power® System S924 server and Oracle Database In-Memory for analytical queries demonstrated outstanding performance benefits with fewer cores. The analytical queries running on the Oracle Database with In-Memory feature enabled are 10x faster than those run with row type access only, while using one quarter the number of POWER9 cores. The improved performance results and the number of POWER9 cores required for producing those results with Oracle Database In-Memory reduces the cost of computing and licensing dramatically compared to the same results and higher number of cores required to execute with Row type access. There is from 25X to 34X improvement seen in the turnaround time of analytical queries run on Oracle Database In-Memory by up to 8 concurrent users with 24 cores compared with the same workload run with row type access only. The outstanding performance of analytical queries with Oracle Database In-Memory was made possible by the performance of POWER9 processor threads that leverage Simultaneous Multi-Threading, enhanced cache hierarchy, and the lower latency and higher bandwidth of the memory subsystem. Disclaimer: The results shown in this document are for education purpose only. The results DO NOT represent the full potential performance capability of the Power S924 server, Oracle Database 12c, and IBM FlashSystem™ 840. The results were derived from the “out of the box” configuration, without any intense tuning on AIX®, Oracle Database 12c, or the SAN storage server. The performance results would vary on different POWER9 processor-based systems and for different types of applications with differing workload characteristics. Testing an IBM Power S924 server, Oracle Database 12c, and IBM FlashSystem 840 At the IBM lab, Oracle Database 12c Release 2 was verified on a Power S924 server with IBM FlashSystem 840 configured as follows: IBM Power S924 Configuration 24 Cores 256 GB of System memory 4 PCIe2 16Gb 2-Port Fibre Channel Adapter PCIe2 4-port 1GbE Adapter 5899 Two PCI3 and eight SAS RAID Internal Adapter 6Gb AIX Oracle Database logical partition (LPAR) AIX 7.2 TL02 SP02 Virtual I/O server (VIOS) VIOS 2.2.3.3 Performance of Oracle Database 12c analytical workload on IBM Power Systems built with POWER9 processor technology http://www.ibm.com/support/techdocs © Copyright 2019, IBM Corporation 1 IBM FlashSystem 840 12 x 2 TB flash modules ( RAID5 array [10 + 1 Parity + 1 Spare]) Oracle Database 12c Oracle Database 12c version 12.2.0.1 Single Instance Database Workload: Analytics Reporting Workload with Automatic Storage Management (ASM) simple, moderate and complex queries Database created on IBM FlashSystem 840 (Total 26 queries) 1TB raw data, Fact table with 9 Billion rows (726GB) SGA size 256GB, In-Memory size 200GB Up to 8 concurrent users Table 1. Tested Power S924 configuration Oracle Database 12c Release 2 on IBM Power S924 experiences Oracle Database 12c Release 2 (version 12.2.0.1) was successfully installed on the Power S924 server and tested with a single instance Oracle Database. No specific patches of Oracle Database or AIX were required to complete this step with the POWER9 processors. Because Oracle Database certifications are done to the AIX operating system, the Oracle Database is fully certified for running on Power Systems servers with POWER9 processors. IBM’s commitment to binary compatibility across all Power Systems servers allows customers to run with confidence on any of the new Power Systems servers built with POWER9 processor technology. Analytical workload One Terabyte of raw data representing Retail sales tracking called BIDAY was loaded into the Oracle Database. An IBM internally grown analytical workload was used to query the database with various numbers of concurrent users, up to eight users. The base line performance data was collected by running the workload on Row type tables. Then the same queries were executed with the fact table loaded into Oracle Database In-Memory. In running this test, we present each concurrent execution of this script as an additional user. For two users two copies are run, with eight users there are eight copies run concurrently. Oracle Database 12c Release 2 was tested on the Power S924 with SMT8 enabled for both Row and In-Memory testing scenarios. The result from the In-Memory queries showed an outstanding performance improvement ranging between 25X and 34X. The following chart shows a comparison of these test results derived from analytical queries that ran in both Row format and In-Memory column format. Performance of Oracle Database 12c analytical workload on IBM Power Systems built with POWER9 processor technology http://www.ibm.com/support/techdocs © Copyright 2019, IBM Corporation 2 Figure 1. Analytical query performance with Row and In-Memory column format Similarly, the following additional results were collected for the same queries run with 12 and six cores in the LPAR. Queries run with 12 cores on Oracle Database In-Memory showed an average of 20X speedup and 6 cores showed an average of 10X speedup compared with 24 cores used for Row type access. Concurrent 24 core In-Memory 12 core In-Memory 6 core In-Memory Users 1 user 25X 19X 9X 2 users 27X 20X 11X 4 users 28X 19X 10X 6 users 31X 19X 10X 8 users 34X 20X 10X Table 2. Performance improvement in speed up with Oracle Database In-Memory and Power Systems POWER9 cores This tables shows that queries running In-Memory completed on average 10X faster compared to the Row format even when only one quarter the number of cores were used! CPU utilization: The Analytical workload saturated nearly all the available CPU cycles of 24 cores for more than four users with In-Memory option enabled. The same workload running with one user on the Row format consumed nearly all CPU cycles with 24 cores. The following figure shows the CPU cycles used in the four user scenario with In-Memory and Row type query processing. The I/O read throughput for Row type access was measured up to 3.5 GB/s even though the maximum bandwidth between the LPAR and the Flash Storage was available up 6.4 GB/s. In the Figure 2, the total amount of CPU capacity required to complete the four user case for In Memory and Row Format is compared.
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