System News
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Articles for the keywords: SPARC Enterprise M5000
31 Aug 2012 Oracle's SPARC T4-2 Produces World Record Oracle Essbase Aggregate Storage Benchmark [27426]
Bests Mark Set by SPARC Enterprise M5000 Server

Oracle's SPARC T4-2 Server (2 cpus), configured with a Sun Storage F5100 Flash Array and running Oracle Solaris 10 with Oracle Database 11g and Oracle Essbase 11.1.2.2.100, outperformed Oracle's SPARC Enterprise M5000 server (4 cpus) with Oracle Essbase 11.1.1.3 on Oracle Solaris 10 by 80%, 32% and 2x performance improvement on Data Loading, Default Aggregation and Usage Based Aggregation, respectively. The SPARC T4-2 server achieved sub-second query response times for 20,000 users in a 15 dimension database and aggregated and stored values for a 15 dimension cube in 398 minutes with 16 threads and in 484 minutes with 8 threads.
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10 Oct 2011 SPARC T4-4 Server Sets World Record on PeopleSoft Payroll (N.A.) 9.1 [24720]
Outperforms IBM Mainframe, HP Itanium

Oracle's SPARC T4-4 server running Oracle Solaris 10 8/11 achieved world record performance on the Unicode version of Oracle's PeopleSoft Enterprise Payroll (N.A) 9.1 extra-large volume model benchmark using Oracle Database 11g Release 2 running. The SPARC T4-4 server was able to process 1,460,544 payments/hour using PeopleSoft Payroll N.A 9.1. This result of 30.84 minutes on Payroll 9.1 is 2.8x faster than IBM z10 EC 2097 Payroll 9.0 (UNICODE version) result of 87.4 minutes and 3.1x faster than HP rx7640 Itanium2 non-UNICODE result of 96.17 minutes, on Payroll 9.0.
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14 Jun 2011 SPARC Enterprise M5000 Delivers First PeopleSoft Payroll 9.1 Benchmark [24262]
Faster than $6m IBM z10 Mainframe with Nine 4.4 GHz Gen1 Processors

Oracle reports that its SPARC Enterprise M5000 server configured with eight 2.66 GHz SPARC64 VII+ processors together with Oracle's Sun Storage F5100 Flash Array storage achieved world record performance on the Unicode version of Oracle's PeopleSoft Enterprise Payroll (N.A) 9.1 with extra large volume model benchmark using Oracle Database 11g Release 2 running on Oracle Solaris 10. In setting this record, the SPARC Enterprise M5000 server processed payroll payments for the 500K employees PeopleSoft Payroll 9.1 (Unicode) benchmark in 46.76 minutes compared to a previous result of 50.11 minutes for the PeopleSoft Payroll 9.0 (non-Unicode) benchmark configured with 2.53 GHz SPARC64 VII processors resulting in 7% better performance, according to the Oracle release. The SPARC Enterprise M5000 server completed the end-to-end run in 66.28 mins, 11% faster than earlier published result of 73.88 mins with Payroll 9.0 configured with 2.53 GHz SPARC64 VII processors.
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29 Mar 2011 SPARC T3-1B Doubles Performance on Oracle Fusion Middleware [24047]
WebLogic Avitek Medical Records Sample Application

Running a sample application of the Avitek Medical Records and Oracle WebLogic Server 11g software, a configuration using Oracle SPARC T3-1B and SPARC Enterprise M5000 servers, the latter running the Oracle database, showed excellent scaling of different configurations. The configuration had 2.1x times the transactional throughput over the previous generation UltraSPARC T2 processor based Sun Blade T6320 server module. The SPARC T3-1B server shows linear scaling as the number of cores in the SPARC T3 processor used in the SPARC T3-1B system module are doubled, writes Brian Whitney in a BestPerf blog. He notes that the Avitek Medical Records application instances were deployed in Oracle Solaris zones on the SPARC T3-1B server, allowing for flexible, scalable and lightweight architecture of the application tier.
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22 Nov 2010 Enhancing Oracle Database Performance with Flash Storage [23688]
A Look at the Gains Available in Replacing Disk Storage with F5100 Flash Arrays

The Oracle white paper "Enhancing Oracle Database Performance with Flash Storage" details the performance gains that users can realize in replacing disk storage devices with Oracle Sun F5100 Flash Array. The small I/Os (8K) on an F5100 are about an order of magnitude faster than small I/Os on 15K SAS disks, the paper notes, and large I/Os (1MB) are about three times faster on an F5100 than on SAS disks. These I/O advantages, according to the paper, translate into performance gains with the implementation of F5100 storage arrays.

The paper considers three Oracle application areas:

  • On-line Transaction Processing
  • Decision Support
  • Database maintenance tasks

The paper also notes certain areas in which expected performance gains are not delivered by replacing disk storage with flash storage devices.
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