Monday Oct 03, 2011

SPARC T4-4 Produces World Record Oracle OLAP Capacity

Oracle's SPARC T4-4 server delivered world record capacity on the Oracle OLAP Perf workload.

  • The SPARC T4-4 server was able to operate on a cube with a 3 billion row fact table of sales data containing 4 dimensions which represents as many as 70 quintillion aggregate rows (70 followed by 18 zeros).

  • The SPARC T4-4 server supported 3,500 cube-queries/minute against the Oracle OLAP cube with an average response time of 1.5 seconds and the median response time of 0.15 seconds.

Performance Landscape

Oracle OLAP Perf Benchmark
System Fact Table
Num of Rows
Cube-Queries/
minute
Median Response
seconds
Average Response
seconds
SPARC T4-4 3 Billion 3,500 0.15 1.5

Configuration Summary and Results

Hardware Configuration:

SPARC T4-4 server with
4 x SPARC T4 processors, 3.0 GHz
1 TB main memory
2 x Sun Storage F5100 Flash Array

Software Configuration:

Oracle Solaris 10 8/11
Oracle Database 11g Enterprise Edition with Oracle OLAP option

Benchmark Description

OLAP Perf is a workload designed to demonstrate and stress the Oracle OLAP product's core functionalities of fast query, fast update, and rich calculations on a dimensional model to support Enhanced Data Warehousing. The workload uses a set of realistic business intelligence (BI) queries that run against an OLAP cube.

Key Points and Best Practices

  • The SPARC T4-4 server is estimated to support 2,400 interactive users with this fast response time assuming only 5 seconds between query requests.

See Also

Disclosure Statement

Copyright 2011, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 10/3/2011.

Wednesday Sep 28, 2011

SPARC T4 Servers Set World Record on PeopleSoft HRMS 9.1

Oracle's SPARC T4-4 servers running Oracle's PeopleSoft HRMS Self-Service 9.1 benchmark and Oracle Database 11g Release 2 achieved World Record performance on Oracle Solaris 10.

  • Using two SPARC T4-4 servers to run the application and database tiers and one SPARC T4-2 server to run the webserver tier, Oracle demonstrated world record performance of 15,000 concurrent users running the PeopleSoft HRMS Self-Service 9.1 benchmark.

  • The combination of the SPARC T4 servers running the PeopleSoft HRMS 9.1 benchmark supports 3.8x more online users with faster response time compared to the best published result from IBM on the previous PeopleSoft HRMS 8.9 benchmark.

  • The average CPU utilization on the SPARC T4-4 server in the application tier handling 15,000 users was less than 50%, leaving significant room for application growth.

  • The SPARC T4-4 server on the application tier used Oracle Solaris Containers which provide a flexible, scalable and manageable virtualization environment.

Performance Landscape

PeopleSoft HRMS Self-Service 9.1 Benchmark
Systems Processors Users Ave Response -
Search (sec)
Ave Response -
Save (sec)
SPARC T4-2 (web)
SPARC T4-4 (app)
SPARC T4-4 (db)
2 x SPARC T4, 2.85 GHz
4 x SPARC T4, 3.0 GHz
4 x SPARC T4, 3.0 GHz
15,000 1.01 0.63
PeopleSoft HRMS Self-Service 8.9 Benchmark
IBM Power 570 (web/app)
IBM Power 570 (db)
12 x POWER5, 1.9 GHz
4 x POWER5, 1.9 GHz
4,000 1.74 1.25
IBM p690 (web)
IBM p690 (app)
IBM p690 (db)
4 x POWER4, 1.9 GHz
12 x POWER4, 1.9 GHz
6 x 4392 MPIS/Gen1
4,000 1.35 1.01

The main differences between version 9.1 and version 8.9 of the benchmark are:

  • the database expanded from 100K employees and 20K managers to 500K employees and 100K managers,
  • the manager data was expanded,
  • a new transaction, "Employee Add Profile," was added, the percent of users executing it is less then 2%, and the transaction has a heavier footprint,
  • version 9.1 has a different benchmark metric (Average Response search/save time for x number of users) versus single user search/save time,
  • newer versions of the PeopleSoft application and PeopleTools software are used.

Configuration Summary

Application Server:

1 x SPARC T4-4 server
4 x SPARC T4 processors 3.0 GHz
512 GB main memory
5 x 300 GB SAS internal disks,
2 x 100 GB internal SSDs
1 x 300 GB internal SSD
Oracle Solaris 10 8/11
PeopleSoft PeopleTools 8.51.02
PeopleSoft HCM 9.1
Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031
Java HotSpot(TM) 64-Bit Server VM on Solaris, version 1.6.0_20

Web Server:

1 x SPARC T4-2 server
2 x SPARC T4 processors 2.85 GHz
256 GB main memory
1 x 300 GB SAS internal disks
1 x 300 GB internal SSD
Oracle Solaris 10 8/11
PeopleSoft PeopleTools 8.51.02
Oracle WebLogic Server 11g (10.3.3)
Java HotSpot(TM) 64-Bit Server VM on Solaris, version 1.6.0_20

Database Server:

1 x SPARC T4-4 server
4 x SPARC T4 processors 3.0 GHz
256 GB main memory
3 x 300 GB SAS internal disks
1 x Sun Storage F5100 Flash Array (80 flash modules)
Oracle Solaris 10 8/11
Oracle Database 11g Release 2

Benchmark Description

The purpose of the PeopleSoft HRMS Self-Service 9.1 benchmark is to measure comparative online performance of the selected processes in PeopleSoft Enterprise HCM 9.1 with Oracle Database 11g. The benchmark kit is an Oracle standard benchmark kit run by all platform vendors to measure the performance. It's an OLTP benchmark with no dependency on remote COBOL calls, there is no batch workload, and DB SQLs are moderately complex. The results are certified by Oracle and a white paper is published.

PeopleSoft defines a business transaction as a series of HTML pages that guide a user through a particular scenario. Users are defined as corporate Employees, Managers and HR administrators. The benchmark consists of 14 scenarios which emulate users performing typical HCM transactions such as viewing paychecks, promoting and hiring employees, updating employee profiles and other typical HCM application transactions.

All these transactions are well-defined in the PeopleSoft HR Self-Service 9.1 benchmark kit. The benchmark metric is the Average Response Time for search and save for 15,000 users..

Key Points and Best Practices

  • The application tier was configured with two PeopleSoft application server instances on the SPARC T4-4 server hosted in two separate Oracle Solaris Containers to demonstrate consolidation of multiple application, ease of administration, and load balancing.

  • Each PeopleSoft Application Server instance running in an Oracle Solaris Container was configured to run 5 application server Domains with 30 application server instances to be able to effectively handle the 15,000 users workload with zero application server queuing and minimal use of resources.

  • The web tier was configured with 20 WebLogic instances and with 4 GB JVM heap size to load balance transactions across 10 PeopleSoft Domains. That enables equitable distribution of transactions and scaling to high number of users.

  • Internal SSDs were configured in the application tier to host PeopleSoft Application Servers object CACHE file systems and in the web tier for WebLogic servers' logging providing near zero millisecond service time and faster server response time.

See Also

Disclosure Statement

Oracle's PeopleSoft HRMS 9.1 benchmark, www.oracle.com/us/solutions/benchmark/apps-benchmark/peoplesoft-167486.html, results 9/26/2011.

Tuesday Sep 27, 2011

SPARC T4 Servers Set World Record on Siebel Loyalty Batch

Oracle's SPARC T4-2 and SPARC T4-4 servers running Oracle's Siebel Loyalty Batch engine delivered a world record result for batch processing.

  • The SPARC T4-2 and SPARC T4-4 servers running Siebel Loyalty Batch engine, part of Siebel Loyalty Solution, with Oracle Database 11g Release 2 running on Oracle Solaris 10 achieved 7.65M TPH on Accrual (Reward) processing using three Siebel Servers.

  • The world record result was achieved with 24M members and 50M records in the base transaction table.

  • Siebel Loyalty Application was configured with 50 Active Promotions with three Assign Points and four Update Attributes.

  • Oracle's Siebel Server scaled near linearly on SPARC T4 systems achieving 2.72M TPH on a single Siebel Server to 7.65M TPH with three Siebel Servers.

  • The average CPU utilization on the database tier server was 25% and on the application tier server was 65%, leaving significant room for application growth.

Performance Landscape

System Processor TPH Version
3 x SPARC T4-2 (app)
1 x SPARC T4-4 (db)
SPARC T4, 2.85 GHz
SPARC T4, 3.0 GHz
7.65M 8.1.1.1FP
2 x SPARC T3-2 (app)
1 x SPARC T3-1 (app)
1 x SPARC M5000 (db)
SPARC T3, 1.65 GHz
SPARC T3, 1.65 GHz
SPARC64 VII, 2.52 GHz
3.9M 8.1.1.1FP
Customer (app)
Customer (db)
4 x Intel E5540, 2.53 GHz
1 x Itanium, 1.6 GHz
1.5M 8.1.x

Configuration Summary

Hardware Configuration:

3 x SPARC T4-2 servers, each with
2 x SPARC T4 processors, 2.85 GHz
128 GB main memory
1 x SPARC T4-4 server with
4 x SPARC T4 processors, 3.0 GHz
256 GB main memory
1 x Sun Storage 6180 array
16 disk drives
CSM200 with 16 disk drives

Software Configuration:

Oracle Solaris 10
Siebel Server 8.1.1.1FP
Oracle Database 11g Release 2 Enterprise Edition 11.2.0.1

Benchmark Description

Siebel Loyalty enables companies to simulate and process loyalty rewards for their activities across channels and process very high volume accrual and tier assessment transactions via batch process.

The benchmark simulates a workload of Accrual Batch Transactions Processing which imports data through Enterprise Integration Manager (EIM), evaluates eligible promotion and calculates rewards. The key performance metric is transactions per hour (TPH). Key aspects of the workload simulation include:

  • Batch Engine evaluating all accrual promotions and applying all actions in one go,
  • Users do not have control over the sequence in which promotion applied,
  • Promotion actions (assign/redeem points) are rolled back in case of failure.
The number of active promotions and, in particular, the Assign Point action has very significant impact on performance. The load simulated 50 Active promotions with 3 for Assign Points and 7 Update attribute actions configured.

The number of members and the number of queued transactions in the backend database have significant impact on the performance. The benchmark had 24 million members and 52 million records in the base transaction table. The simplified process flow of the benchmark is:

  • calculate accruals base on promotions,
  • credit points to members,
  • initiate any other actions specified in promotions.

See Also

Disclosure Statement

Copyright 2011, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 9/26/2011.

SPARC T4-4 Server Sets World Record on PeopleSoft Payroll (N.A.) 9.1, Outperforms IBM Mainframe, HP Itanium

Oracle's SPARC T4-4 server 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 on Oracle Solaris 10.

  • The SPARC T4-4 server was able to process 1,460,544 payments/hour using PeopleSoft Payroll N.A 9.1.

  • The SPARC T4-4 server UNICODE 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. The IBM mainframe is rated at 6,512 MIPS.

  • The SPARC T4-4 server UNICODE result of 30.84 minutes on Payroll 9.1 is 3.1x faster than HP rx7640 Itanium2 non-UNICODE result of 96.17 minutes, on Payroll 9.0.

  • The average CPU utilization on the SPARC T4-4 server was only 30%, leaving significant room for business growth.

  • The SPARC T4-4 server processed payroll for 500,000 employees, 750,000 payments, in 30.84 minutes compared to the earlier world record result of 46.76 minutes on Oracle's SPARC Enterprise M5000 server.

  • The SPARC Enterprise M5000 server configured with eight 2.66 GHz SPARC64 VII processors has a result of 46.76 minutes on Payroll 9.1. That is 7% better than the result of 50.11 minutes on the SPARC Enterprise M5000 server configured with eight 2.53 GHz SPARC64 VII processors on Payroll 9.0. The difference in clock speed between the two processors is ~5%. That is close to the difference in the two results, thereby showing that the impact of the Payroll 9.1 benchmark on the overall result is about the same as that of Payroll 9.0.

Performance Landscape

PeopleSoft Payroll (N.A.) 9.1 – 500K Employees (7 Million SQL PayCalc, Unicode)

System OS/Database Payroll Processing
Result (minutes)
Run 1
(minutes)
Num of
Streams
SPARC T4-4, 4 x 3.0 GHz SPARC T4 Solaris/Oracle 11g 30.84 43.76 96
SPARC M5000, 8 x 2.66 GHz SPARC64 VII+ Solaris/Oracle 11g 46.76 66.28 32

PeopleSoft Payroll (N.A.) 9.0 – 500K Employees (3 Million SQL PayCalc, Non-Unicode)

System OS/Database Time in Minutes Num of
Streams
Payroll
Processing
Result
Run 1 Run 2 Run 3
Sun M5000, 8 x 2.53 GHz SPARC64 VII Solaris/Oracle 11g 50.11 73.88 534.20 1267.06 32
IBM z10 EC 2097, 9 x 4.4 GHz Gen1 Z/OS /DB2 58.96 80.5 250.68 462.6 8
IBM z10 EC 2097, 9 x 4.4 GHz Gen1 Z/OS /DB2 87.4 ** 107.6 - - 8
HP rx7640, 8 x 1.6 GHz Itanium2 HP-UX/Oracle 11g 96.17 133.63 712.72 1665.01 32

** This result was run with Unicode. The IBM z10 EC 2097 UNICODE result of 87.4 minutes is 48% slower than IBM z10 EC 2097 non-UNICODE result of 58.96 minutes, both on Payroll 9.0, each configured with nine 4.4GHz Gen1 processors.

Payroll 9.1 Compared to Payroll 9.0

Please note that Payroll 9.1 is Unicode based and Payroll 9.0 had non-Unicode and Unicode versions of the workload. There are 7 million executions of an SQL statement for the PayCalc batch process in Payroll 9.1 and 3 million executions of the same SQL statement for the PayCalc batch process in Payroll 9.0. This gets reflected in the elapsed time (27.33 min for 9.1 and 23.78 min for 9.0). The elapsed times of all other batch processes is lower (better) on 9.1.

Configuration Summary

Hardware Configuration:

SPARC T4-4 server
4 x 3.0 GHz SPARC T4 processors
256 GB memory
Sun Storage F5100 Flash Array
80 x 24 GB FMODs

Software Configuration:

Oracle Solaris 10 8/11
PeopleSoft HRMS and Campus Solutions 9.10.303
PeopleSoft Enterprise (PeopleTools) 8.51.035
Oracle Database 11g Release 2 11.2.0.1 (64-bit)
Micro Focus COBOLServer Express 5.1 (64-bit)

Benchmark Description

The PeopleSoft 9.1 Payroll (North America) benchmark is a performance benchmark established by PeopleSoft to demonstrate system performance for a range of processing volumes in a specific configuration. This information may be used to determine the software, hardware, and network configurations necessary to support processing volumes. This workload represents large batch runs typical of OLTP workloads during a mass update.

To measure five application business process run times for a database representing a large organization. The five processes are:

  • Paysheet Creation: Generates payroll data worksheets consisting of standard payroll information for each employee for a given pay cycle.

  • Payroll Calculation: Looks at paysheets and calculates checks for those employees.

  • Payroll Confirmation: Takes information generated by Payroll Calculation and updates the employees' balances with the calculated amounts.

  • Print Advice forms: The process takes the information generated by Payroll Calculations and Confirmation and produces an Advice for each employee to report Earnings, Taxes, Deduction, etc.

  • Create Direct Deposit File: The process takes information generated by the above processes and produces an electronic transmittal file that is used to transfer payroll funds directly into an employee's bank account.

Key Points and Best Practices

  • The SPARC T4-4 server with the Sun Storage F5100 Flash Array device had an average read throughput of up to 103 MB/sec and an average write throughput of up to 124 MB/sec while consuming 30% CPU on average.

  • The Sun Storage F5100 Flash Array device is a solid-state device that provides a read latency of only 0.5 msec. That is about 10 times faster than the normal disk latencies of 5 msec measured on this benchmark.

See Also

  • Oracle PeopleSoft Benchmark White Papers
    oracle.com
  • PeopleSoft Enterprise Human Capital Management (Payroll)
    oracle.com

  • PeopleSoft Enterprise Payroll 9.1 Using Oracle for Solaris (Unicode) on an Oracle's SPARC T4-4 – White Paper
    oracle.com

  • SPARC T4-4 Server
    oracle.com
  • Oracle Solaris
    oracle.com
  • Oracle Database 11g Release 2 Enterprise Edition
    oracle.com
  • Sun Storage F5100 Flash Array
    oracle.com

Disclosure Statement

Oracle's PeopleSoft Payroll 9.1 benchmark, SPARC T4-4 30.84 min,
http://www.oracle.com/us/solutions/benchmark/apps-benchmark/peoplesoft-167486.html, results 9/26/2011.

Monday Sep 12, 2011

SPARC Enterprise M9000 Produces World Record SAP ATO Benchmark

Oracle delivered an SAP enhancement package 4 for SAP ERP 6.0 Assemble-to-Order (ATO) benchmark world record result using Oracle's SPARC Enterprise M9000 server running Oracle Solaris 10 and Oracle Database 11g along with SAP Enhancement Package 4 for SAP ERP 6.0 (Unicode). The SAP ATO benchmark integrates process chains across SAP Business Suite components, include Financials, Logistics, Human Resources, Basis and Cross Application.

  • The SPARC Enterprise M9000 server containing 64 SPARC64 VII+ 3.0 GHz processors, running Oracle Solaris 10 and Oracle Database 11g along with SAP Enhancement Package 4 for SAP ERP 6.0 (Unicode) delivered a world record 206,000 fully processed assembly orders per hour on the SAP enhancement package 4 for SAP ERP 6.0 ATO benchmark.

  • The SPARC Enterprise M9000 server result shows it can more than consolidate the work of the three-tier HP solution which used 80 different servers.

  • Oracle produced the first SAP ATO benchmark result using Unicode encoding.

  • The SAP ATO benchmark uses multiple components of the SAP Business Suite. See more detail at the SAP ATO benchmark webpage.

Performance Landscape

SAP ATO 2-Tier Performance Table (select results in decreasing performance order)

System OS
Database
Assembly Orders
per hour(*)
SAP
ERP/ECC
Release
Cert Num
SPARC Enterprise M9000
64 x SPARC64 VII+ @3.0 GHz
2048 GB
Oracle Solaris 10
Oracle 11g
206,360 SAP ERP6.0*
(Unicode)
2011033
Fujitsu Siemens Primepower 2000
128 x SPARC64 @560 MHz
128 GB
Solaris 8
Oracle 8.1.7
34,260 4.6B
(non-Unicode)
2001018
HP 9000 Superdome
64 x PA-RISC 8600 @552 MHz
128 GB
HP-UX 11.11
Oracle 8.16
18,870 4.6B
(non-Unicode)
2001014
Fujitsu Siemens Primepower 900
16 x SPARC64 V @1.35 GHz
64 GB
Solaris 8
Oracle 9i
12,170 4.6C
(non-Unicode)
2003012
HP rx5670
4 x Itanium II @1.0 GHz
24 GB
HP-UX 11i
Oracle 9i
3,090 4.6C
(non-Unicode)
2002069

(*) SAP enhancement package 4 for SAP ERP6.0 (Unicode)

SAP ATO 3-Tier Performance Table (top results in decreasing performance order)

System OS
Database
Assembly Orders
per hour(*)
SAP
ERP/ECC
Release
Cert Num
HP 9000 Superdome Enterprise Server
64 x PA-RISC 8700 @ 750MHz
128 GB
HP-UX 11i
Oracle 9i
144,090 4.6 C
(non-Unicode)
2002003
HP 9000 Superdome Enterprise Server
64 x PA-RISC 8700 @750 MHz
128 GB
HP-UX 11i
Oracle 9i
130,570 4.6 C
(non-Unicode)
2001047

(*) Assembly Order: Request to assemble pre-manufactured parts and assemblies to finished products according to an existing sales order.

Complete benchmark results may be found at the SAP benchmark website: http://www.sap.com/benchmark.

Configuration Summary and Results

Hardware Configuration:

SPARC Enterprise M9000
64 SPARC64 VII+ 3.0 GHz processor
2048 GB memory

Software Configuration:

Oracle Solaris 10
SAP enhancement package 4 for SAP ERP 6.0 (Unicode)
Oracle Database 11g

Certified Result:

Fully business processed Assembly Orders/hour:
206,360
SAP Certification Number:
2011033

Benchmark Description

The SAP ATO benchmark integrates process chains across SAP Business Suite components. The ATO scenario is characterized by high volume sales, short production times (from hours to one day), and individual assembly for such products as PCs, pumps, and cars. In general, each benchmark user has its own master data, such as material, vendor, or customer master data to avoid data locking situations. However, the ATO Benchmark has been designed to handle and overcome data locking situations - the ATO benchmark users access common master data, such as material, vendor, or customer master data. (source: http://www12.sap.com/solutions/benchmark/ato.epx).

SAP is one of the premier world-wide ERP application providers, and maintains a suite of benchmark tests to demonstrate the performance of competitive systems on the various SAP products.

See Also

Disclosure Statement

SAP, R/3 are registered trademarks of SAP AG in Germany and other countries. More information may be found at www.sap.com/benchmark

Two-tier SAP ATO standard SAP ERP 6.0 2005/EP4 (Unicode) application benchmarks as of 09/04/11:
Oracle's SPARC Enterprise M9000 (64 processors, 256 cores, 512 threads) 206,360 Assembly Orders/hour, 64 x 3.0 GHz SPARC VIII, 2048 GB memory, Oracle 11g, Oracle Solaris 10, Certification Number 2011033.

Two-tier SAP ATO standard 4.6 C application benchmarks as of 09/04/11:
Fujitsu Siemens Primepower 900 (16-way SMP) 12,170 Assembly Orders/hour, 16 x 1.35 GHz SPARC64 V, 64 GB memory, Oracle 9i, Solaris 8, Certification Number 2003012.
HP rx5670 (4 processors SMP) 3,090 Assembly Orders/hour, 4 x 1.0 GHz Itanium II, 24 GB memory, Oracle 9i, HP-UX 11i, Certification Number 2002069.

Two-tier SAP ATO standard 4.6 B application benchmarks as of 09/04/11:
HP 9000 Superdome (64-way SMP) 18,8770 Assembly Orders/hour, 64 x 552 MHz PA-RISC 8600, 128 GB memory, Oracle 8.1.6, HP-UX 11.11, Certification Number 2001014.
Fujitsu Siemens Primepower 2000 (128 processors SMP) 34,260 Assembly Orders/hour, 128 x 560 MHz SPARC64, 128 GB memory, Oracle 8.1.7, Solaris 8, Certification Number 2001018.

Three-tier SAP ATO standard 4.6 C application benchmarks as of 09/04/11:
HP 9000 Superdome Enterprise Server (64 processors SMP) 144,090 Assembly Orders/hour, 64 x 750 MHz PA-RISC 8700, 128 GB memory, Oracle 9i, HP-UX 11i, Certification Number 2002003
HP 9000 Superdome Enterprise Server (64 processors SMP) 130,570 Assembly Orders/hour, 64 x 750 MHz PA-RISC 8700, 128 GB memory, Oracle 9i, HP-UX 11i, Certification Number 2001047

Friday Aug 12, 2011

Sun Blade X6270 M2 with Oracle WebLogic World Record 2 Processor SPECjEnterprise 2010 Benchmark

Oracle produced a World Record single application server using 2 chips result for the SPECjEnterprise2010 benchmark of 5,427.42 SPECjEnterprise2010 EjOPS using one of Oracle's Sun Blade X6270 M2 server module for the application tier and one Sun Blade X6270 M2 server module for the database.

  • The Sun Blade X6270 M2 server module equipped with two Intel Xeon X5690 processors running at 3.46 GHz, demonstrated 47% better performance compared to the 2-chip IBM System HS22 server result of 3,694.35 SPECjEnterprise2010 EjOPS using the same model of Intel Xeon X5690 processor.

  • The Sun Blade X6270 M2 server module running the application tier demonstrated 33% better performance compared to the 2-chip IBM Power 730 Express server result of 4,062.38 SPECjEnterprise2010 EjOPS.

  • The Sun Blade X6270 M2 server modules used Oracle WebLogic Server 11g Release 1 (10.3.5) application, Java SE 6 Update 26, and Oracle Database 11g Release 2 to produce this result.

Performance Landscape

Complete benchmark results are at the SPEC website, SPECjEnterprise2010 Results.

SPECjEnterprise2010 Performance Chart
as of 8/11/2011
Submitter EjOPS* Application Server Database Server
Oracle 5,427.42 1x Sun Blade X6270 M2
2x 3.46 GHz Intel Xeon X5690
Oracle WebLogic 11g (10.3.5)
1x Sun Blade X6270 M2
2x 3.46 GHz Intel Xeon X5690
Oracle 11g DB 11.2.0.2
IBM 4,062.38 1x IBM Power 730 Express
2x 3.5 GHz POWER 7
WebSphere Application Server V7
1x IBM BladeCenter PS701
1x 3.0 GHz POWER 7
IBM DB2 9.7 Workgroup Server Edition FP3a
IBM 3,694.35 1x IBM HS22
2x 3.46 GHz Intel Xeon X5690
WebSphere Application Server V8
1x IBM x3850 X5
2x 2.4 GHz Intel Xeon E7-4870
IBM DB2 9.7 FP3a

* SPECjEnterprise2010 EjOPS, bigger is better.

Configuration Summary

Application Server:
    1 x Sun Blade X6270 M2
      2 x 3.46 GHz Intel Xeon X5690
      48 GB memory
      4 x 10 GbE NIC
      Oracle Linux 5 Update 6
      Oracle WebLogic Server 11g Release 1 (10.3.5)
      Java HotSpot(TM) 64-Bit Server VM on Linux, version 1.6.0_26 (Java SE 6 Update 26)

Database Server:

    1 x Sun Blade X6270 M2
      2 x 3.46 GHz Intel Xeon X5690
      144 GB memory
      2 x 10 GbE NIC
      2 x Sun Storage 6180
      Oracle Linux 5 Update 6
      Oracle Database 11g Enterprise Edition Release 11.2.0.2

Benchmark Description

SPECjEnterprise2010 is the third generation of the SPEC organization's J2EE end-to-end industry standard benchmark application. The SPECjEnterprise2010 benchmark has been designed and developed to cover the Java EE 5.0 specification's significantly expanded and simplified programming model, highlighting the major features used by developers in the industry today. This provides a real world workload driving the Application Server's implementation of the Java EE specification to its maximum potential and allowing maximum stressing of the underlying hardware and software systems.

The workload consists of an end to end web based order processing domain, an RMI and Web Services driven manufacturing domain and a supply chain model utilizing document based Web Services. The application is a collection of Java classes, Java Servlets, Java Server Pages , Enterprise Java Beans, Java Persistence Entities (pojo's) and Message Driven Beans.

The SPECjEnterprise2010 benchmark heavily exercises all parts of the underlying infrastructure that make up the application environment, including hardware, JVM software, database software, JDBC drivers, and the system network.

The primary metric of the SPECjEnterprise2010 benchmark is jEnterprise Operations Per Second ("SPECjEnterprise2010 EjOPS"). The primary metric for the SPECjEnterprise2010 benchmark is calculated by adding the metrics of the Dealership Management Application in the Dealer Domain and the Manufacturing Application in the Manufacturing Domain. There is no price/performance metric in this benchmark.

Key Points and Best Practices

  • Two Oracle WebLogic server instances were started using numactl binding 1 instance per chip.
  • Two Oracle database listener processes were started and each was bound to a separate chip.
  • Additional tuning information is in the report at http://spec.org.

See Also

Disclosure Statement

SPEC and the benchmark name SPECjEnterprise are registered trademarks of the Standard Performance Evaluation Corporation. Sun Blade X6270 M2, 5,427.42 SPECjEnterprise2010 EjOPS; IBM Power 730 Express, 4,062.38 SPECjEnterprise2010 EjOPS; IBM System HS22, 3,694.35 SPECjEnterprise2010 EjOPS. Results from www.spec.org as of 8/11/2011.

Friday Jun 10, 2011

SPARC Enterprise M5000 Delivers First PeopleSoft Payroll 9.1 Benchmark

Oracle's M-series server sets a world record on Oracle's PeopleSoft Enterprise Payroll (N.A) 9.1 with extra large volume model benchmark (Unicode). Oracle's SPARC Enterprise M5000 server was able to to run faster than the previous generation system result even though the PeopleSoft Payroll 9.1 benchmark is more computationally demanding.

Oracle's 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.

  • 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.

  • Note that the IBM z10 Gen1 mainframe running the PeopleSoft Payroll 9.0 (Unicode) benchmark was 48% slower than the 9.0 non-Unicode version. The IBM z10 mainframe with nine 4.4 GHz Gen1 processors has a list price over $6M and is rated at 6,512 MIPS.

  • The SPARC Enterprise M5000 server with the Sun Storage F5100 Flash Array system processed payroll for 500K employees completing 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.

  • The Sun Storage F5100 Flash Array device is a high performance, high-density solid-state flash array which provides a read latency of only 0.5 msec which is about 10 times faster than the normal disk latencies of 5 msec measured on this benchmark.

Performance Landscape

PeopleSoft Payroll (N.A.) 9.1 – 500K Employees (7 Million SQL PayCalc, Unicode)

System Processor OS/Database Payroll Processing
Result (minutes)
Run 1
(minutes)
Num of
Streams
SPARC M5000 8x 2.66GHz SPARC64 VII+ Solaris/Oracle 11g 46.76 66.28 32

PeopleSoft Payroll (N.A.) 9.0 – 500K Employees (3 Million SQL PayCalc, Non-Unicode)

System Processor OS/Database Time in Minutes Num of
Streams
Payroll
Processing
Result
Run 1 Run 2 Run 3
Sun M5000 8x 2.53GHz SPARC64 VII Solaris/Oracle 11g 50.11 73.88 534.20 1267.06 32
IBM z10 9x 4.4GHz Gen1 Z/OS /DB2 58.96 80.5 250.68 462.6 8
IBM z10 9x 4.4GHz Gen1 Z/OS /DB2 87.4 ** 107.6 - - 8
HP rx7640 8x 1.6GHz Itanium2 HP-UX/Oracle 11g 96.17 133.63 712.72 1665.01 32

** This result was run with Unicode

Payroll 9.1 Compared to Payroll 9.0

Please note that Payroll 9.1 is Unicode based and Payroll 9.0 is non-Unicode. There are 7 million executions of an SQL statement for the PayCalc batch process in Payroll 9.1 and 3 million executions of the same SQL statement for the PayCalc batch process in Payroll 9.0. This gets reflected in the elapsed time (27.33 min for 9.1 and 23.78 min for 9.0). The elapsed times of all other batch processes is lower (better) on 9.1.

Configuration Summary

Hardware Configuration:

SPARC Enterprise M5000 server
8 x 2.66 GHz SPARC64 VII+ processors
128 GB memory
2 x SAS HBA (SG-XPCIE8SAS-E-Z - PCIe HBA for Rack Servers)
Sun Storage F5100 Flash Array
40 x 24 GB FMODs
1 x StorageTek 2501 array with
12 x 146 GB SAS 15K RPM disks
1 x StorageTek 2540 array with
12 x 146 GB SAS 15K RPM disks

Software Configuration:

Oracle Solaris 10 09/10
PeopleSoft HRMS and Campus Solutions 9.10.303
PeopleSoft Enterprise (PeopleTools) 8.51.035
Oracle Database 11g Release 2 11.2.0.1 (64-bit)
Micro Focus COBOLServer Express 5.1 (64-bit)

Benchmark Description

The PeopleSoft 9.1 Payroll (North America) benchmark is a performance benchmark established by PeopleSoft to demonstrate system performance for a range of processing volumes in a specific configuration. This information may be used to determine the software, hardware, and network configurations necessary to support processing volumes. This workload represents large batch runs typical of OLTP workloads during a mass update.

To measure five application business process run times for a database representing a large organization. The five processes are:

  • Paysheet Creation: Generates payroll data worksheets consisting of standard payroll information for each employee for a given pay cycle.

  • Payroll Calculation: Looks at paysheets and calculates checks for those employees.

  • Payroll Confirmation: Takes information generated by Payroll Calculation and updates the employees' balances with the calculated amounts.

  • Print Advice forms: The process takes the information generated by Payroll Calculations and Confirmation and produces an Advice for each employee to report Earnings, Taxes, Deduction, etc.

  • Create Direct Deposit File: The process takes information generated by the above processes and produces an electronic transmittal file that is used to transfer payroll funds directly into an employee's bank account.

For the benchmark, we collected at least three data points with different numbers of job streams (parallel jobs). This batch benchmark allows a maximum of thirty-two job streams to be configured to run in parallel.

See Also

Disclosure Statement

Oracle's PeopleSoft Payroll 9.1 benchmark, SPARC Enterprise M5000 46.76 min, www.oracle.com/apps_benchmark/html/white-papers-peoplesoft.html, results 6/10/2011.

Friday Mar 25, 2011

SPARC Enterprise M9000 with Oracle Database 11g Delivers World Record Single Server TPC-H @3000GB Result

Oracle's SPARC Enterprise M9000 server delivers single-system TPC-H @3000GB world record performance. The SPARC Enterprise M9000 server along with Oracle's Sun Storage 6180 arrays and running Oracle Database 11g Release 2 on the Oracle Solaris operating system proves the power of Oracle's integrated solution.

  • The SPARC Enterprise M9000 server configured with SPARC64 VII+ processors, Sun Storage 6180 arrays and running Oracle Solaris 10 combined with Oracle Database 11g Release 2 achieved World Record TPC-H performance of 386,478.3 QphH@3000GB for non-clustered systems.

  • The SPARC Enterprise M9000 server running the Oracle Database 11g Release 2 software is 2.5 times faster than the IBM p595 (POWER6) server which ran with Sybase IQ v.15.1 database software.

  • The SPARC Enterprise M9000 server is 3.4 times faster than the IBM p595 server for data loading.

  • The SPARC Enterprise M9000 server is 3.5 times faster than the IBM p595 server for Refresh Function.

  • The SPARC Enterprise M9000 server configured with Sun Storage 6180 arrays shows linear scaling up to the maximum delivered IO performance of 48.3 GB/sec as measured by vdbench.

  • The SPARC Enterprise M9000 server running the Oracle Database 11g Release 2 software is 2.4 times faster than the HP ProLiant DL980 server which used Microsoft SQL Server 2008 R2 Enterprise Edition software.

  • The SPARC Enterprise M9000 server is 2.9 times faster than the HP ProLiant DL980 server for data loading.

  • The SPARC Enterprise M9000 server is 4 times faster than the HP ProLiant DL980 server for Refresh Function.

  • A 1.94x improvement was delivered by the SPARC Enterprise M9000 server result using 64 SPARC64 VII+ processors compared to the previous Sun SPARC Enterprise M9000 server result which used 32 SPARC64 VII processes.

  • Oracle's TPC-H result shows that the SPARC Enterprise M9000 server can handle the increasingly large databases required of DSS systems. The IO rate as measured by the Oracle database is over 40 GB/sec.

  • Oracle used Storage Redundancy Level 3 as defined by the TPC-H 2.14.0 specification which is the highest level.

Performance Landscape

TPC-H @3000GB, Non-Clustered Systems

System
CPU type
Memory
Composite
(QphH)
$/perf
($/QphH)
Power
(QppH)
Throughput
(QthH)
Database Available
SPARC Enterprise M9000
3 GHz SPARC64 VII+
1024 GB
386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g 09/22/11
Sun SPARC Enterprise M9000
2.88 GHz SPARC64 VII
512 GB
198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g 12/09/10
HP ProLiant DL980 G7
2.27 GHz Intel Xeon X7560
512 GB
162,601.7 $2.68 185,297.7 142,601.7 SQL Server 10/13/10
IBM Power 595
5.0 GHz POWER6
512 GB
156,537.3 $20.60 142,790.7 171,607.4 Sybase 11/24/09

QphH = the Composite Metric (bigger is better)
$/QphH = the Price/Performance metric (smaller is better)
QppH = the Power Numerical Quantity
QthH = the Throughput Numerical Quantity

Complete benchmark results found at the TPC benchmark website http://www.tpc.org.

Configuration Summary and Results

Server:

SPARC Enterprise M9000
64 x SPARC VII+ 3.0 GHz processors
1024 GB memory
4 x internal SAS (4 x 146 GB)

External Storage:

32 x Sun Storage 6180 arrays (each with 16 x 600 GB)

Software:

Oracle Solaris 10 9/10
Oracle Database 11g Release 2 Enterprise Edition

Audited Results:

Database Size: 3000 GB (Scale Factor 3000)
TPC-H Composite: 386,478.3 QphH@3000GB
Price/performance: $18.19/QphH@3000GB
Available: 09/22/2011
Total 3 year Cost: $7,030,009
TPC-H Power: 316,835.8
TPC-H Throughput: 471,428.6
Database Load Time: 2:59:01

Benchmark Description

The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB and 10000GB) are not allowed by the TPC.

TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system.

The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multi user modes. The benchmark requires reporting of price/performance, which is the ratio of QphH to total HW/SW cost plus 3 years maintenance.

Key Points and Best Practices

  • The Sun Storage 6180 array showed linear scalability of 48.3 GB/sec Sequential Read with thirty-two Sun Storage 6180 arrays. Scaling could continue if there are more arrays available.
  • Oracle Solaris 10 9/10 required very little system tuning.
  • The optimal Sun Storage 6180 arrays configuration for the benchmark was to set up 1 disk per volume instead of multiple disks per volume and let Oracle Oracle Automatic Storage Management (ASM) mirror. Presenting as many volumes as possible to Oracle database gave the highest scan rate.

  • The storage was managed by ASM with 4 MB stripe size. 1 MB is the default stripe size but 4 MB works better for large databases.

  • All the Oracle database files, except TEMP tablespace, were mirrored under ASM. 16 x Sun Storage 6180 arrays (256 disks) were mirrored to another 16 x Sun Storage 6180 arrays using ASM. IO performance was good and balanced across all the disks. With the ASM mirror the benchmark passed the ACID (Atomicity, Consistency, Isolation and Durablity) test.

  • Oracle database tables were 256-way partitioned. The parallel degree for each table was set to 256 to match the number of available cores. This setting worked the best for performance.

  • Oracle Database 11g Release 2 feature Automatic Parallel Degree Policy was set to AUTO for the benchmark. This enabled automatic degree of parallelism, statement queuing and in-memory parallel execution.

See Also

Disclosure Statement

SPARC Enterprise M9000 386,478.3 QphH@3000GB, $18.19/QphH@3000GB, avail 09/22/11, IBM Power 595 QphH@3000GB, 156,537.3 QphH@3000GB, $20.60/QphH@3000GB, avail 11/24/09, HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB avail 10/13/10, TPC-H, QphH, $/QphH tm of Transaction Processing Performance Council (TPC). More info www.tpc.org.

Thursday Dec 02, 2010

World Record TPC-C Result on Oracle's SPARC Supercluster with T3-4 Servers

Oracle demonstrated the world's fastest database performance using 27 of Oracle's SPARC T3-4 servers, 138 Sun Storage F5100 Flash Array storage systems and Oracle Database 11g Release 2 Enterprise Edition with Real Application Clusters (RAC) and Partitioning delivered a world-record TPC-C benchmark result.

  • The SPARC T3-4 server cluster delivered a world record TPC-C benchmark result of 30,249,688 tpmC and $1.01 $/tpmC (USD) using Oracle Database 11g Release 2 on a configuration available 6/1/2011.

  • The SPARC T3-4 server cluster is 2.9x faster than the performance of the IBM Power 780 (POWER7 3.86 GHz) cluster with IBM DB2 9.7 database and has 27% better price/performance on the TPC-C benchmark. Almost identical price discount levels were applied by Oracle and IBM.

  • The Oracle solution has three times better performance than the IBM configuration and only used twice the power during the run of the TPC-C benchmark.  (Based upon IBM's own claims of energy usage from their August 17, 2010 press release.)

  • The Oracle solution delivered 2.9x the performance in only 71% of the space compared to the IBM TPC-C benchmark result.

  • The SPARC T3-4 server with Sun Storage F5100 Flash Array storage solution demonstrates 3.2x faster response time than IBM Power 780 (POWER7 3.86 GHz) result on the TPC-C benchmark.

  • Oracle used a single-image database, whereas IBM used 96 separate database partitions on their 3-node cluster. It is interesting to note that IBM used 32 database images instead of running each server as a simple SMP.

  • IBM did not use DB2 Enterprise Database, but instead IBM used "DB2 InfoSphere Warehouse 9.7" which is a data warehouse and data management product and not their flagship OLTP product.

  • The multi-node SPARC T3-4 server cluster is 7.4x faster than the HP Superdome (1.6 GHz Itanium2) solution and has 66% better price/performance on the TPC-C benchmark.

  • The Oracle solution utilized Oracle's Sun FlashFire technology to deliver this result. The Sun Storage F5100 Flash Array storage system was used for database storage.

  • Oracle Database 11g Enterprise Edition Release 2 with Real Application Clusters and Partitioning scales and effectively uses all of the nodes in this configuration to produce the world record TPC-C benchmark performance.

  • This result showed Oracle's integrated hardware and software stacks provide industry leading performance.

Performance Landscape

TPC-C results (sorted by tpmC, bigger is better)

System tpmC Price/tpmC Avail Database Cluster Racks
27 x SPARC T3-4 30,249,688 1.01 USD 6/1/2011 Oracle 11g RAC Y 15
3 x IBM Power 780 10,366,254 1.38 USD 10/13/10 DB2 9.7 Y 10
HP Integrity Superdome 4,092,799 2.93 USD 08/06/07 Oracle 10g R2 N 46

Avail - Availability date
Racks - Clients, servers, storage, infrastructure

Oracle and IBM TPC-C Response times

System tpmC Response Time (sec)
New Order 90th%
Response Time (sec)
New Order Average
27 x SPARC T3-4 30,249,688 0.750 0.352
3 x IBM Power 780 10,366,254 2.1 1.137
Response Time Ratio - Oracle Better 2.9x 2.8x 3.2x

Oracle uses Average New Order Response time for comparison between Oracle and IBM.

Graphs of Oracle's and IBM's response times for New-Order can be found in the full disclosure reports on TPC's website TPC-C Official Result Page.

Configuration Summary and Results

Hardware Configuration:

15 racks used to hold

Servers
27 x SPARC T3-4 servers, each with
4 x 1.65 GHz SPARC T3 processors
512 GB memory
3 x 300 GB 10K RPM 2.5" SAS disks

Data Storage
69 x Sun Fire X4270 M2 servers configured as COMSTAR heads, each with
1 x 2.93 GHz Intel Xeon X5670 processor
8 GB memory
9 x 2 TB 7.2K RPM 3.5" SAS disks
2 x Sun Storage F5100 Flash Array storage (1.92 TB each)
1 x Brocade DCX switch

Redo Storage
28 x Sun Fire X4270 M2 servers configured as COMSTAR heads, each with
1 x 2.93 GHz Intel Xeon X5670 processor
8 GB memory
11 x 2 TB 7.2K RPM 3.5" SAS disks
2 x Brocade 5300 switches

Clients
81 x Sun Fire X4170 M2 servers, each with
2 x 2.93 GHz Intel X5670 processors
48 GB memory
2 x 146 GB 10K RMP 2.5" SAS disks

Software Configuration:

Oracle Solaris 10 9/10 (for SPARC T3-4 and Sun Fire X4170 M2)
Oracle Solaris 11 Express (COMSTAR for Sun Fire X4270 M2)
Oracle Database 11g Release 2 Enterprise Edition with Real Application Clusters and Partitioning
Oracle iPlanet Web Server 7.0 U5
Tuxedo CFS-R Tier 1

Results:

System 27 x SPARC T3-4
tpmC 30,249,688
Price/tpmC 1.01 USD
Avail 6/1/2011
Database Oracle Database 11g RAC
Cluster yes
Racks 15
New Order Ave Response 0.352 seconds

Benchmark Description

TPC-C is an OLTP system benchmark. It simulates a complete environment where a population of terminal operators executes transactions against a database. The benchmark is centered around the principal activities (transactions) of an order-entry environment. These transactions include entering and delivering orders, recording payments, checking the status of orders, and monitoring the level of stock at the warehouses.

Key Points and Best Practices

  • Oracle Database 11g Release 2 Enterprise Edition with Real Application Clusters and Partitioning scales easily to this high level of performance.

  • Sun Storage F5100 Flash Array storage provides high performance, very low latency, and very high storage density.

  • COMSTAR (Common Multiprotocol SCSI Target), new in Oracle Solaris 11 Express, is the software framework that enables a Solaris host to serve as a SCSI Target platform. COMSTAR uses a modular approach to break the huge task of handling all the different pieces in a SCSI target subsystem into independent functional modules which are glued together by the SCSI Target Mode Framework (STMF). The modules implementing functionality at SCSI level (disk, tape, medium changer etc.) are not required to know about the underlying transport. And the modules implementing the transport protocol (FC, iSCSI, etc.) are not aware of the SCSI-level functionality of the packets they are transporting. The framework hides the details of allocation providing execution context and cleanup of SCSI commands and associated resources and simplifies the task of writing the SCSI or transport modules.

  • Oracle iPlanet Web Server 7.0 U5 is used in the user tier of the benchmark with each of the web server instance supporting more than a quarter-million users, while satisfying the stringent response time requirement from the TPC-C benchmark.

See Also

Disclosure Statement

TPC Benchmark C, tpmC, and TPC-C are trademarks of the Transaction Processing Performance Council (TPC). 27-node SPARC T3-4 Cluster (4 x 1.65 GHz SPARC T3 processors) with Oracle Database 11g Release 2 Enterprise Edition with Real Application Clusters and Partitioning, 30,249,688 tpmC, $1.01/tpmC, Available 6/1/2011. IBM Power 780 Cluster (3 nodes using 3.86 GHz POWER7 processors) with IBM DB2 InfoSphere Warehouse Ent. Base Ed. 9.7, 10,366,254 tpmC, $1.38 USD/tpmC, available 10/13/2010. HP Integrity Superdome(1.6GHz Itanium2, 64 processors, 128 cores, 256 threads) with Oracle 10g Enterprise Edition, 4,092,799 tpmC, $2.93/tpmC, available 8/06/07. Energy claims based upon IBM calculations and internal measurements. Source: http://www.tpc.org/tpcc, results as of 11/22/2010

World Record SPECweb2005 Result on SPARC T3-2 with Oracle iPlanet Web Server

Oracle's SPARC T3-2 server running Oracle iPlanet Web Server middleware delivered a world record SPECweb2005 benchmark result of 113,857. Oracle's 2-socket SPARC is 9% faster than the fastest 2-socket x86-based competitive server and even 8% faster than the 4-socket HP x86-based server.

  • The SPARC T3-2 server with dual 1.65 GHz SPARC T3 processors using Oracle iPlanet Web Server 7.0.9 middleware delivered a world record result of 113857 on the SPECweb2005 benchmark.

  • This result demonstrates that the SPARC T3-2 running Oracle Solaris and Oracle iPlanet Web Server can support thousands of concurrent web server sessions and is an industry leader in web serving with a high performance and enterprise quality solution.

  • Oracle is the only SPECweb2005 benchmark sponsor who can demonstrate top performance using a commercially viable and production quality web serving solution with the Oracle iPlanet Web Server and the Oracle Solaris 10 operating system.

  • On the SPECweb2005 benchmark, the SPARC T3-2 server with two 1.65 GHz SPARC T3 processors is 8% faster than the latest Hewlett-Packard result that was just published on the HP ProLiant DL585 G7 with four 2.0 GHz AMD 6128HE processors.

  • On the SPECweb2005 benchmark, the SPARC T3-2 server with two 1.65 GHz SPARC T3 processors is 9% faster than the Fujitsu PRIMERGY TX300 S6 with two 3.3 GHz Intel X5680 processors.

  • On the SPECweb2005 benchmark, the SPARC T3-2 server with two 1.65 GHz SPARC T3 processors is 37% faster than the HP ProLiant DL370 G6 with two 3.2 GHz Intel W5580 processors.

  • On the Support workload of SPECweb2005, the SPARC T3-2 server with two 1.65 GHz SPARC T3 processors obtained a 41% higher score than the Fujitsu PRIMERGY TX300 S6 with two 3.3 GHz Intel X5680 processors.

  • The SPARC T3-2 server obtained 14.4 times the result of the 4-core IBM System p5 550 1.9 GHz POWER5+ system on the SPECweb2005 benchmark. There are no IBM POWER7 or POWER6 based system results published on the SPECweb2005 benchmark.

Performance Landscape

SPECweb2005 select results as of 8 December 2010. See the SPEC website for more. Information ordered by Result, bigger is better.

Server Processor OS SPECweb2005 Performance (\*) Web Server
Result Bank Ecom Supp
SPARC T3-2 2 x 1.65 T3 Solaris 113857 165024 160056 123840 iPlanet
HP DL585 G7 4 x 2.0 6128HE RedHat Linux 105586 168192 175104 88576 Rock
Fujitsu TX300 S6 2 x 3.33 X5680 RedHat Linux 104422 162000 177000 88000 Rock
Sun T5440 4 x 1.6 T2 Plus Solaris 100209 176500 133000 95000 Sun
Fujitsu TX300 S5 2 x 2.93 X5570 RedHat Linux 83198 106000 140000 86000 Rock
HP ML370 G6 2 x 3.2 W5580 RedHat Linux 83073 117120 142080 76352 Rock
HP DL370 G6 2 x 3.2 W5580 RedHat Linux 83073 117120 142080 76352 Rock
HP DL585 G5 4 x 3.1 Opt8393 RedHat Linux 71629 117504 123072 56320 Rock
IBM p5 550 2 x 1.9 POWER5+ SuSE Linux 7881 12240 11820 7500 Zeus

(\*) Metrics are
Result - SPECweb2005, overall metric
Bank - SPECweb2005_banking, Banking component metric
Ecom - SPECweb2005_ecommerce, ECommerce component metric
Supp - SPECweb2005_support, Support component metric

Configuration Summary

Hardware Configuration:

1 SPARC T3-2 with
2 x 1.65 GHz SPARC T3 processors
256 GB memory
2 x Sun Storage F5100 Flash Array
4 x Dual 10 GbE SFP+ PCIe LP
4 x 6 GB SAS PCIe HBA

Software Configuration:

Oracle Solaris 10 9/10
Oracle iPlanet Web Server 7.0.9
Java Platform, Standard Edition version 1.6.0_21-b06
Java Hotspot Server VM version 17.0-b16, mixed mode

Benchmark Description

SPECweb2005, successor to SPECweb99 and SPECweb99_SSL, is an industry standard benchmark for evaluating Web Server performance developed by SPEC. The benchmark simulates multiple user sessions accessing a Web Server and generating static and dynamic HTTP requests. The major features of SPECweb2005 are:

  • Measures simultaneous user sessions
  • Dynamic content: currently PHP and JSP implementations
  • Page images requested using 2 parallel HTTP connections
  • Multiple, standardized workloads: Banking (HTTPS), E-commerce (HTTP and HTTPS), and Support (HTTP)
  • Simulates browser caching effects
  • File accesses more accurately simulate today's disk access patterns

SPEC requires the server under test to support SSL Protocol V3 (SSLv3).

Of the various ciphers supported in SSLv3, cipher SSL_RSA_WITH_RC4_128_MD5 is currently required for all workload components that use SSL. It was selected as one of the most commonly used SSLv3 ciphers and allows results to be directly compared to each other. SSL_RSA_WITH_RC4_128_MD5 consists of:

  • RSA public key (asymmetric) encryption with a 1024-bit key
  • RC4 symmetric encryption with a 128-bit key for bulk data encryption
  • MD5 digest algorithm with 128-bit output for the Message Authentication Code (MAC)

A compliant result must use the cipher suite listed above, and must employ the 1024 bit key for RSA public key encryption, 128-bit key for RC4 bulk data encryption, and have a 128-bit output for the Message Authentication code.

All Banking workload request to the server under test use SSL, where the Ecommerce workload requests are a mix of SSL and non-SSL. Non of the Support workload requests to server under test use SSL.

Key Points and Best Practices

  • When multiple 10 GbE Dual Port NICs are used, it is best practice to equally divide these NICs between PCI root nodes that are available.

  • Two web server instances was used. One web server instance was bound to a processor set with CPUs in the first processor chip. The other web server instance was bound to a processor set with CPUs in the second processor chip. The web server instance bound to CPUs in first processor chip was listening on the NIC IP addresses on that processor's chip PCI root node. The same was done with web server instance bound to CPUs in second processor chip. This was done to improve the locality of the processing.

  • Each web server is executed in the FX scheduling class to improve performance by reducing the frequency of context switches.

See Also

Disclosure Statement

SPEC and the benchmark name SPECweb are registered trademarks of Standard Performance Evaluation Corporation. Results are from www.spec.org as of December 8, 2010 and this report. Oracle, SPARC T3-2, 113,857 SPECweb2005. HP ProLiant DL585 G7, 105,586 SPECweb2005. Fujitsu PRIMERGY TX300 S6, 104,422 SPECweb2005. Sun SPARC Enterprise T5440, 100,209 SPECweb2005. Fujitsu PRIMERGY TX300 S5, 83,198 SPECweb2005. HP ProLiant ML370 G6, 83,073 SPECweb2005. HP ProLiant DL370 G6, 83,073 SPECweb2005. HP ProLiant DL585 G5, 71,629 SPECweb2005. IBM System p5 550, 7,881 SPECweb2005.

World Record Performance on PeopleSoft Enterprise Financials Benchmark run on Sun SPARC Enterprise M4000 and M5000

Oracle's Sun SPARC Enterprise M4000 and M5000 servers have combined to produce a world record result on Oracle's PeopleSoft Enterprise Financial Management 9.0 benchmark.

  • The Sun SPARC Enterprise M4000 and M5000 servers configured with SPARC64 VII+ processors along with Oracle's Sun Storage F5100 Flash Array system achieved a world record result using PeopleSoft Enterprise Financial Management and Oracle Database 11g Release 2 software running on the Oracle Solaris 10 operating system.

  • The PeopleSoft Enterprise Financial Management solution processed online business transactions to support 1000 concurrent users using 32 application server threads with compliant response times while simultaneously completing complex batch jobs in record time.

  • The Sun Storage F5100 Flash Array system is a high performance, high-density solid-state flash array which provides a read latency of only 0.5 msec which is about 10 times faster than the normal disk latencies of 5 msec measured on this benchmark.

  • The Sun SPARC Enterprise M4000 and M5000 servers were able to process online users and concurrent batch jobs simultaneously in 34.72 minutes on this benchmark that reflects complex, multi-tier environment and utilizes a large back-end database of nearly 1 TB.

  • The combination of Oracle's PeopleSoft Enterprise Financial Management 9.00.00.331, PeopleSoft PeopleTools 8.49.23 and Oracle WebLogic server was run on the Sun SPARC Enterprise M4000 server and Oracle database 11g Release 2 was run on the Sun SPARC Enterprise M5000 server for this benchmark.

Performance Landscape

The following table discloses the current and the single previously disclosed result for this benchmark. Results are elapsed times therefore the smaller number is better.

Servers CPU Tier Batch (mins) Batch
w/Online (mins)
Sun SPARC Enterprise M4000 2.66 GHz SPARC64 VII+ Web/App
33.09
34.72
Sun SPARC Enterprise M5000 2.66 GHz SPARC64 VII+ DB

SPARC T3-1 1.65 GHz SPARC T3 Web/App 35.82 37.01
Sun SPARC Enterprise M5000 2.5 GHz SPARC64 VII DB

Configuration Summary

Web/Application Tier Configuration:

1 x Sun SPARC Enterprise M4000
4 x 2.66 GHz SPARC64 VII+ processors
128 GB of memory

Database Tier Configuration:

1 x Sun SPARC Enterprise M5000
8 x 2.66 GHz SPARC64 VII+ processors
128 GB of memory
1 x Sun Storage F5100 Flash Array (74 x 24 GB FMODs)
2 x StorageTek 2540 (12 x 146 GB SAS 15K RPM)
1 x StorageTek 2501 (12 x 146 GB SAS 15K RPM)
1 x Dual-Port SAS Fibre Channel Host Bus Adapters (HBA)

Software Configurations:

Oracle Solaris 10 10/09
PeopleSoft Enterprise Financial Management/SCM 9.00.00.311 64-bit
PeopleSoft Enterprise (PeopleTools) 8.49.23 64-bit
Oracle Database 11g Release 2 11.1.0.6 64-bit
Oracle Tuxedo 9.1 RP36 with Jolt 9.1
Micro Focus COBOL Server Express 4.0 SP4 64-bit

Benchmark Description

This Day-in-the-Life benchmark measured the concurrent batch and online performance for a large database model. This scenario more accurately represents a production environment where users and scheduled batch jobs must run concurrently. This benchmark measured performance results during a Close-the-Books process.

The PeopleSoft Enterprise Financials 9 batch processes included in this benchmark are as follows:

  • Journal Generator: (AE) This process creates journals from accounting entries (AE) generated from various data sources, including non-PeopleSoft systems as well as PeopleSoft applications. In the benchmark, the Journal Generator (FS_JGEN) process is set up to create accounting entries from Oracle's PeopleSoft applications in the same database, such as PeopleSoft Enterprise Payables, Receivables, Asset Management, Expenses, Cash Management. The process is run with the option of Edit and Post turned on to edit and post the journals created by Journal generator. Journal Edit is an AE program and Post is a COBOL program.

  • Allocation: (AE) This process allocates balances held or accumulated in one or more entities to more than one business unit, department or other entities based on user-defined rules.

  • Journal Edit & Post: (AE & COBOL) Journal Edit validates journal transactions before posting them to the ledger. This validation ensures that journals are valid, for example: valid ChartFields values and combinations, debits and credits equal, and inter/intra-unit balanced, Journal Post process posts only valid, edited journals, ensures each journal line posts to the appropriate target detail ledgers, and then changes the journal's status to posted. In this benchmark, the Journal Edit & Post is also set up to edit and post Oracle's PeopleSoft applications from another database, such as PeopleSoft Enterprise Payroll data.

  • Summary Ledger: (AE) Summary Ledger processing summarizes detail ledger data across selected GL BUs. Summary Ledgers can be generated for reporting purposes or used in consolidations.

  • Consolidations: (COBOL) Consolidation processing summarizes ledger balances and generates elimination journal entries across business units based on user-defined rules.

  • SQR & nVision Reporting: Reporting will consist of nVision and SQR reports. A balance sheet, an income statement, and a trial balance will be generated for each GL BU by SQR processes GLS7002 and GLS7012. The consolidated results of the nVision reports are run by 10 nVision users using 4 standard delivered report request definitions such as BALANCE, INCOME, CONSBAL, and DEPTINC. Each of the nVision users will have ownership over 10 Business Units and each of the nVision users will submit multiple runs that are being executed in parallel to generate a total of 40 nVision reports.

Batch processes are run concurrently with more than 1000 emulated users executing 30 pre-defined online applications. Response times for the online applications are collected and must conform to a maximum time.

Key Points and Best Practices

The Sun SPARC Enterprise M4000 and M5000 servers were able process online users and concurrent batch jobs simultaneously in 34.72 minutes.

The Sun Storage F5100 Flash Array system, which is highly tuned for IOPS, contributed to the result through reduced IO latency.

The family of Sun SPARC Enterprise M-series servers, with Sun Storage F5100 Flash Array systems, form an ideal environment for hosting complex multi-tier applications. This is the second public disclosure of any system running this benchmark.

The Sun SPARC Enterprise M4000 server hosted the web and application server tiers providing good response time to emulated user requests. The benchmark specification allows 1000 users, but there is headroom for increased load.

The Sun SPARC Enterprise M5000 server was used for the database server along with a Sun Storage F5100 Flash Array system. The speed of the M-series server with the low latency of the Flash Array provided the overall low latency for user requests, even while completing complex batch jobs.

Despite the systems being lightly loaded, the increased frequency of the SPARC64 VII+ processors yielded lower latencies and faster elapsed times than previously disclosed results.

The low latency of the Sun Storage F5100 Flash Array storage contributed to the excellent response times of emulated users by making data quickly available to the database back-end. The array was configured as several RAID 0 volumes and data was distributed across the volumes, maximizing storage bandwidth.

The transaction processing capacity of the Sun SPARC Enterprise M5000 server enabled very fast batch processing times while supporting over 1000 online users.

While running the maximum workload specified by the benchmark, the systems were lightly loaded, providing headroom to grow.

Please see the white paper for information on PeopleSoft payroll best practices using flash.

See Also

Disclosure Statement

Oracle's PeopleSoft Financials 9.0 benchmark, Oracle's Sun SPARC Enterprise M4000 (4 2.66 SPARC64 VII+), Oracle's Sun SPARC Enterprise M5000 (8 2.66 SPARC64 VII+), 34.72 min. Results as of 12/02/2010, see www.oracle.com/apps_benchmark/html/white-papers-peoplesoft.html for more about PeopleSoft.

Monday Oct 11, 2010

Sun SPARC Enterprise M9000 Server Delivers World Record Non-Clustered TPC-H @3000GB Performance

Oracle's Sun SPARC Enterprise M9000 server delivered a single-system TPC-H 3000GB world record performance. The Sun SPARC Enterprise M9000 server, running Oracle Database 11g Release 2 on the Oracle Solaris operating system proves the power of Oracle's integrated solution.

  • Oracle beats IBM Power with better performance and price/performance (3 Year TCO). This shows that Oracle's focus on integrated system design provides more customer value than IBM's focus on "per core performance"!

  • The Sun SPARC Enterprise M9000 server is 27% faster than the IBM Power 595.

  • The Sun SPARC Enterprise M9000 server is 22% faster than the HP ProLiant DL980 G7.

  • The Sun SPARC Enterprise M9000 server is 26% lower than the IBM Power 595 for price/performance.

  • The Sun SPARC Enterprise M9000 server is 2.7 times faster than the IBM Power 595 for data loading.

  • The Sun SPARC Enterprise M9000 server is 2.3 times faster than the HP ProLiant DL980 for data loading.

  • The Sun SPARC Enterprise M9000 server is 2.6 times faster than the IBM p595 for Refresh Function.

  • The Sun SPARC Enterprise M9000 server is 3 times faster than the HP ProLiant DL980 for Refresh Function.

  • Oracle used Storage Redundancy Level 3 as defined by the TPC-H 2.12.0 specification, which is the highest level. IBM is the only other vendor to secure the storage to this level.

  • One should focus on the performance of the complete hardware and software stack since server implementation details such as the number of cores or the number of threads will obscure the important metrics of delivered system performance and system price/performance.

  • The Sun SPARC Enterprise M9000 server configured with SPARC VII processors, Sun Storage 6180 arrays, and running Oracle Solaris 10 operating system combined with Oracle Database 11g Release 2 achieved World Record TPC-H performance of 198,907.5 QphH@3000GB for non-clustered systems.

  • The Sun SPARC Enterprise M9000 server is over three times faster than the HP Itanium2 Superdome.

  • The Sun Storage 6180 array configuration (a total of 16 6180 arrays) in this benchmark delivered IO performance of over 21 GB/sec Sequential Read performance as measured by the vdbench tool.

  • This TPC-H result demonstrates that the Sun SPARC Enterprise M9000 server can handle the increasingly large databases required of DSS systems. The server delivered more than 18 GB/sec of real IO throughput as measured by the Oracle Database 11g Release 2 software.

  • Both Oracle and IBM had the same level of hardware discounting as allowed by TPC rules to provide a effective comparison of price/performance.

  • IBM has not shown any delivered I/O performance results for the high-end IBM POWER7 systems. In addition, they have not delivered any commercial benchmarks (TPC-C, TPC-H, etc.) which have heavy I/O demands.

Performance Landscape

TPC-H @3000GB, Non-Clustered Systems

System
CPU type
Memory
Composite
(QphH)
$/perf
($/QphH)
Power
(QppH)
Throughput
(QthH)
Database Available
Sun SPARC Enterprise M9000
2.88GHz SPARC64 VII
512GB
198,907.5 $15.27 182,350.7 216,967.7 Oracle 12/09/10
HP ProLiant DL980 G7
2.27GHz Intel Xeon X7560
512GB
162,601.7 $2.68 185,297.7 142,601.7 SQL Server 10/13/10
IBM Power 595
5.0GHz POWER6
512GB
156,537.3 $20.60 142,790.7 171,607.4 Sybase 11/24/09
Unisys ES7000 7600R
2.6GHz Intel Xeon
1024GB
102,778.2 $21.05 120,254.8 87,841.4 SQL Server 05/06/10
HP Integrity Superdome
1.6GHz Intel Itanium
256GB
60,359.3 $32.60 80,838.3 45,068.3 SQL Server 05/21/07

QphH = the Composite Metric (bigger is better)
$/QphH = the Price/Performance metric (smaller is better)
QppH = the Power Numerical Quantity
QthH = the Throughput Numerical Quantity

Complete benchmark results found at the TPC benchmark website http://www.tpc.org.

Configuration Summary and Results

Server:

Sun SPARC Enterprise M9000
32 x SPARC VII 2.88 GHz processors
512 GB memory
4 x internal SAS (4 x 300 GB)

External Storage:

16 x Sun Storage 6180 arrays (16x 16 x 300 GB)

Software:

Operating System: Oracle Solaris 10 10/09
Database: Oracle Database 11g Release 2 Enterprise Edition

Audited Results:

Database Size: 3000 GB (Scale Factor 3000)
TPC-H Composite: 198,907.5 QphH@3000GB
Price/performance: $15.27/QphH@3000GB
Available: 12/09/2010
Total 3 year Cost: $3,037,900
TPC-H Power: 182,350.7
TPC-H Throughput: 216,967.7
Database Load Time: 3:40:11

Benchmark Description

The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB and 10000GB) are not allowed by the TPC.

TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system.

The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multi user modes. The benchmark requires reporting of price/performance, which is the ratio of QphH to total HW/SW cost plus 3 years maintenance.

Key Points and Best Practices

  • The Sun Storage 6180 array showed good scalability and these sixteen 6180 arrays showed over 21 GB/sec Sequential Read performance as measured by the vdbench tool.
  • Oracle Solaris 10 10/09 required little system tuning.
  • The optimal 6180 configuration for the benchmark was to set up 1 disk per volume instead of multiple disks per volume and let Oracle Solaris Volume Manager (SVM) mirror. Presenting as many volumes as possible to Oracle database gave the highest scan rate.

  • The storage was managed by SVM with 1MB stripe size to match with Oracle's database IO size. The default 16K stripe size is just too small for this DSS benchmark.

  • All the Oracle files, except TEMP tablespace, were mirrored under SVM. Eight 6180 arrays (128 disks) were mirrored to another 8 6180 arrays using 128-way stripe. IO performance was good and balanced across all the disks with a round robin order. Read performance was the same with mirror or without mirror. With the SVM mirror the benchmark passed the ACID (Atomicity, Consistency, Isolation and Durablity) test.

  • Oracle tables were 128-way partitioned and parallel degree for each table was set to 128 because the system had 128 cores. This setting worked the best for performance.

  • CPU usage during the Power run was not so high. This is because parallel degree was set to 128 for the tables and indexes so it utilized 128 vcpus for the most of the queries but the system had 256 vcpus.

See Also

Disclosure Statement

Sun SPARC Enterprise M9000 198,907.5 QphH@3000GB, $15.27/QphH@3000GB, avail 12/09/10, IBM Power 595 QphH@3000GB, 156,537.3 QphH@3000GB, $20.60/QphH@3000GB, avail 11/24/09, HP Integrity Superdome 60,359.3 QphH@3000GB, $32.60/QphH@3000GB avail 06/18/07, TPC-H, QphH, $/QphH tm of Transaction Processing Performance Council (TPC). More info www.tpc.org.

Friday Sep 24, 2010

SPARC T3-2 sets World Record on SPECjvm2008 Benchmark

World Record SPECjvm2008 Result

Oracle's SPARC T3-2 server equipped with two SPARC T3 processors running at 1.65 GHz delivered a World Record result of 320.52 SPECjvm2008 Peak ops/m on the SPECjvm2008 benchmark.
  • The SPARC T3-2 server demonstrates better performance than servers equipped with 2 Intel Xeon processors.

  • This result was produced using Oracle Solaris 10 and Oracle JDK 6 Update 21 Performance Release.

  • There are no SPECjvm2008 results published by IBM on POWER7 based systems.

  • The SPARC T3-2 server demonstrates Oracle's position of leadership in Java-based computing by publishing world record results for the SPECjvm2008 benchmark.

Performance Landscape

Complete benchmark results are at the SPECjvm2008 website.

SPECjvm2008 Performance Chart
(ordered by performance)
System Processors Performance
base peak
SPARC T3-2 2 x 1.65 GHz SPARC T3 - 320.52
Sun Blade X6270 2 x 2.93 GHz Intel X5570 317.13 -
Sun Fire X4450 4 x 2.66 GHz Intel X7450 283.79 -
Sun Fire X4450 4 x 2.93 GHz Intel X7350 260.08 -

base: SPECjvm2008 Base ops/m (bigger is better)
peak: SPECjvm2008 Peak ops/m (bigger is better)

Results and Configuration Summary

Hardware Configuration:

SPARC T3-2 server
2 x 1.65 GHz SPARC T3 processors
256 GB memory

Software Configuration:

Oracle Solaris 10 9/10
Java Platform, Standard Edition, JDK 6 Update 21 Performance Release

Benchmark Description

SPECjvm2008 (Java Virtual Machine Benchmark) is a benchmark suite for measuring the performance of a Java Runtime Environment (JRE), containing several real life applications and benchmarks focusing on core java functionality. The suite focuses on the performance of the JRE executing a single application; it reflects the performance of the hardware processor and memory subsystem, but has low dependence on file I/O and includes no network I/O across machines.

The SPECjvm2008 workload mimics a variety of common general purpose application computations. These characteristics reflect the intent that this benchmark will be applicable to measuring basic Java performance on a wide variety of both client and server systems.

SPEC also finds user experience of Java important, and the suite, therefore, includes startup benchmarks and has a required run category called base, which must be run without any tuning of the JVM to improve the out of the box performance.

SPECjvm2008 benchmark highlights:

  • Leverages real life applications (like derby, sunflow, and javac) and area-focused benchmarks (like xml, serialization, crypto, and scimark).
  • Also measures the performance of the operating system and hardware in the context of executing the JRE.

Key Points and Best Practices

  • Enhancements to the JVM had a major impact on performance

See Also

Disclosure Statement

SPEC and SPECjvm are registered trademarks of Standard Performance Evaluation Corporation. Results from www.spec.org and this report as of 9/16/2010. SPARC T3-2 320.52 SPECjvm2008 Peak ops/m, Sun Blade X6270 317.13 SPECjvm2008 Base ops/m.

Thursday Sep 23, 2010

SPARC T3-1 Performance on PeopleSoft Enterprise Financials 9.0 Benchmark

Oracle's SPARC T3-1 and Sun SPARC Enterprise M5000 servers combined with Oracle's Sun Storage F5100 Flash Array storage has produced the first world-wide disclosure and World Record performance on the PeopleSoft Enterprise Financials 9.0 benchmark.

  • Using SPARC T3-1 and Sun SPARC Enterprise M5000 servers along with a Sun Storage F5100 Flash Array system, the Oracle solution processed online business transactions to support 1000 concurrent users using 32 application server threads with compliant response times while simultaneously completing complex batch jobs. This is the first publication of this benchmark by any vendor world-wide.

  • The Sun Storage F5100 Flash Array system is a high performance, high-density solid-state flash array which provides a read latency of only 0.5 msec which is about 10 times faster than the normal disk latencies of 5 msec measured on this benchmark.

  • The SPARC T3-1 and Sun SPARC Enterprise M5000 servers were able process online users and concurrent batch jobs simultaneously in 38.66 minutes on this benchmark that reflects complex, multi-tier environment and utilizes a large back-end database of nearly 1 TB.

  • Both the SPARC T3-1 and Sun SPARC Enterprise M5000 servers used the Oracle Solaris 10 operating system.

  • The combination of Oracle's PeopleSoft Enterprise Financials/SCM 9.00.00.331, PeopleSoft Enterprise (PeopleTools) 8.49.23 and Oracle WebLogic server running on the SPARC T3-1 server and the Oracle database 11g Release 1 was run on the Sun SPARC Enterprise M5000 server for this benchmark.

Performance Landscape

As the first world-wide disclosure of this benchmark, no competitive results exist with which the current result may be compared.

Batch Processing Times
Batch Process Elapsed Time in Minutes
Batch Alone\* Batch with
1000 Online Users\*
JGEN Subsystem 7.30 7.78
JEDIT1 2.52 3.77
ALLOCATION 6.05 10.15
ALLOC EDIT/POST 2.32 2.23
SUM LEDGER 1.00 1.18
CONSOLIDATION 1.50 1.55
Total Main Batch Stream 20.69 26.66
SQR/GL_LEDGER 8.92 9.12
SQR/GL_TBAL 3.33 3.35
SQR 11.83 12.00
nVisions 8.78 8.83
nVision 11.83 12.00
Max SQR and nVision Stream 11.83 12.00
Total Batch (sum of Main Batch and Max SQR) 32.52 38.66

\* PeopleSoft Enterprise Financials batch processing and post-processing elapsed times.

Results and Configuration Summary

Hardware Configuration:

1 x SPARC T3-1 (1 x T3 at 1.65 GHz with 128 GB of memory)
1 x Sun SPARC Enterprise M5000 (8 x SPARC64 at 2.53 GHz with 64 GB of memory)
1 x Sun Storage F5100 Flash Array (74 x 24 GB FMODs)
2 x StorageTek 2540 (12 x 146 GB SAS 15K RPM)
1 x StorageTek 2501 (12 x 146 GB SAS 15K RPM)
1 x Dual-Port SAS Fibre Channel Host Bus Adapters (HBA)

Software Configuration:

Oracle Solaris 10 10/09
Oracle's PeopleSoft Enterprise Financials/SCM 9.00.00.311 64-bit
Oracle's PeopleSoft Enterprise (PeopleTools) 8.49.23 64-bit
Oracle 11g R2 11.1.0.6 64-bit
Oracle Tuxedo 9.1 RP36 with Jolt 9.1
Micro Focus COBOL Server Express 4.0 SP4 64-bit

Benchmark Description

The PeopleSoft Enterprise Financials batch processes included in this benchmark are as follows:

  • Journal Generator: (AE) This process creates journals from accounting entries (AE) generated from various data sources, including non-PeopleSoft systems as well as PeopleSoft applications. In the benchmark, the Journal Generator (FS_JGEN) process is set up to create accounting entries from Oracle's PeopleSoft applications in the same database, such as PeopleSoft Enterprise Payables, Receivables, Asset Management, Expenses, Cash Management. The process is run with the option of Edit and Post turned on to edit and post the journals created by Journal generator. Journal Edit is an AE program and Post is a COBOL program.

  • Allocation: (AE) This process allocates balances held or accumulated in one or more entities to more than one business unit, department or other entities based on user-defined rules.

  • Journal Edit & Post: (AE & COBOL) Journal Edit validates journal transactions before posting them to the ledger. This validation ensures that journals are valid, for example: valid ChartFields values and combinations, debits and credits equal, and inter/intra-unit balanced, Journal Post process posts only valid, edited journals, ensures each journal line posts to the appropriate target detail ledgers, and then changes the journal's status to posted. In this benchmark, the Journal Edit & Post is also set up to edit and post Oracle's PeopleSoft applications from another database, such as PeopleSoft Enterprise Payroll data.

  • Summary Ledger: (AE) Summary Ledger processing summarizes detail ledger data across selected GL BUs. Summary Ledgers can be generated for reporting purposes or used in consolidations.

  • Consolidations: (COBOL) Consolidation processing summarizes ledger balances and generates elimination journal entries across business units based on user-defined rules.

  • SQR & nVision Reporting: Reporting will consist of nVision and SQR reports. A balance sheet, and income statement, and a trial balance will be generated for each GL BU by SQR processes GLS7002 and GLS7012. The consolidated results of the nVision reports are run by 10 nVision users using 4 standard delivered report request definitions such as BALANCE, INCOME, CONSBAL, and DEPTINC. Each of the nVision users will have ownership over 10 Business Units and each of the nVision users will submit multiple runs that are being executed in parallel to generate a total of 40 nVision reports.

Batch processes are run concurrently with more than 1000 emulated users executing 30 pre-defined online applications. Response times for the online applications are collected and must conform to a maximum time.

Key Points and Best Practices

Oracle's SPARC T3-1 and Oracle's Sun SPARC Enterprise M5000 servers published the first result for Oracle's PeopleSoft Enterprise Financials 9.0 benchmark for concurrent batch and 1000 online users using the large database model on Oracle 11g running Oracle Solaris 10.

The SPARC T3-1 and Sun SPARC Enterprise M5000 servers were able process online users and concurrent batch jobs simultaneously in 38.66 minutes.

The Sun Storage F5100 Flash Array system, which is highly tuned for IOPS, contributed to the result through reduced IO latency.

The combination of the SPARC T3-1 and Sun SPARC Enterprise M5000 servers, with a Sun Storage F5100 Flash Array system, form an ideal environment for hosting complex multi-tier applications. This is the first public disclosure of any system running this benchmark.

The SPARC T3-1 server hosted the web and application server tiers, providing good response time to emulated user requests. The benchmark specification allows 1000 users, but there is headroom for increased load.

The Sun SPARC Enterprise M5000 server was used for the database server along with a Sun Storage F5100 Flash Array system. The speed of the M-series server with the low latency of the Flash Array provided the overall low latency for user requests, even while completing complex batch jobs.

The parallelism of the SPARC T3-1 server, when used as an application and web server tier, is best taken advantage of by configuring sufficient server processes. With sufficient server processes distributed across the hardware cores, acceptable user response times are achieved.

The low latency of the Sun Storage F5100 Flash Array storage contributed to the excellent response times of emulated users by making data quickly available to the database back-end. The array was configured as several RAID 0 volumes and data was distributed across the volumes, maximizing storage bandwidth.

The transaction processing capacity of the Sun SPARC Enterprise M5000 server enabled very fast batch processing times while supporting over 1000 online users.

While running the maximum workload specified by the benchmark, the systems were lightly loaded, providing headroom to grow.

Please see the white paper for information on PeopleSoft payroll best practices using flash.

See Also

Disclosure Statement

Oracle's PeopleSoft Financials 9.0 benchmark, Oracle's SPARC T3-1 (1 1.65GHz SPARC-T3), Oracle's SPARC Enterprise M5000 (8 2.53GHz SPARC64), 38.66 min. www.oracle.com/apps_benchmark/html/white-papers-peoplesoft.html Results 09/20/2010.

Tuesday Jun 29, 2010

Sun Fire X2270 M2 Sets World Record on SPEC OMP2001 Benchmark

Oracle's Sun Fire X2270 M2 server running the Oracle Solaris 10 10/09 with the Oracle Solaris Studio 12 Update 1 compiler, produced the top x86 SPECompM2001 result for all 2-socket servers.

  • The Sun Fire X2270 M2 server with two Intel Xeon X5670 processors running 24 OpenMP threads achieved a SPEC OMP2001 result of 55,178 SPECompM2001.

  • The Sun Fire X2270 M2 server beat the Cisco B200 M2 system even thought the Cisco system used the faster Intel Xeon X5680 (3.33GHz) chips.

Performance Landscape

SPEC OMP2001 Performance Charts - bigger is better, selected results, please see www.spec.org for complete results. All results as of 06/28/10.

In the tables below
"Base" = SPECompMbase2001 and "Peak" = SPECompMpeak2001

SPEC OMPM2001 results

System Processors Base
Threads
Performance Results
Cores/
Chips
Type GHz Peak Base
Sun Fire X2270 M2 12/2 Xeon X5670 2.93 24 55178 49548
Cisco B200 M2 12/2 Xeon X5680 3.33 24 55072 52314
Intel SR1600UR 12/2 Xeon X5680 3.33 24 54249 51510
Intel SR1600UR 12/2 Xeon X5670 2.93 24 53313 50283

Results and Configuration Summary

Hardware Configuration:

Sun Fire X2270 M2
2 x 2.93 GHz Intel Xeon X5670
24 GB

Software Configuration:

Oracle Solaris 10 10/09
Oracle Solaris Studio 12 Update 1
SPEC OMP2001 suite v3.2

Benchmark Description

The SPEC OMPM2001 Benchmark Suite was released in June 2001 and tests HPC performance using OpenMP for parallelism.

  • 11 programs (3 in C and 8 in Fortran) parallelized using OpenMP API
Goals of the suite:
  • Targeted to mid-range (4-32 processor) parallel systems
  • Run rules, tools and reporting similar to SPEC CPU2006
  • Programs representative of HPC and Scientific Applications

The SPEC OMPL2001 Benchmark Suite was released in June 2001 and tests HPC performance using OpenMP for parallelism.

  • 9 programs (2 in C and 7 in Fortran) parallelized using OpenMP API
Goals of the suite:
  • Targeted to larger parallel systems
  • Run rules, tools and reporting similar to SPEC CPU2006
  • Programs representative of HPC and Scientific Applications

There are "base" variants of both the above metrics that require more conservative compilation, such as using the same flags for all benchmarks.

See Also

Disclosure Statement

SPEC, SPEComp reg tm of Standard Performance Evaluation Corporation. Results from www.spec.org as of 28 June 2010 and this report. Sun Fire X2270 M2 (2 chips, 12 cores, 24 OpenMP threads) 55,178 SPECompM2001;

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BestPerf is the source of Oracle performance expertise. In this blog, Oracle's Strategic Applications Engineering group explores Oracle's performance results and shares best practices learned from working on Enterprise-wide Applications.

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