Tuesday Mar 26, 2013

SPARC T5-8 Produces TPC-C Benchmark Single-System World Record Performance

Oracle's SPARC T5-8 server equipped with eight 3.6 GHz SPARC T5 processors obtained a result of 8,552,523 tpmC on the TPC-C benchmark. This result is a world record for single servers. Oracle demonstrated this world record database performance running Oracle Database 11g Release 2 Enterprise Edition with Partitioning.

  • The SPARC T5-8 server delivered a single system TPC-C world record of 8,552,523 tpmC with a price performance of $0.55/tpmC using Oracle Database 11g Release 2. This configuration is available 09/25/13.

  • The SPARC T5-8 server has 2.8x times better performance than the 4-processor IBM x3850 X5 system equipped with Intel Xeon processors.

  • The SPARC T5-8 server delivers 1.7x the performance compared to the next best eight processor result.

  • The SPARC T5-8 server delivers 2.4x the performance per chip compared to the IBM Power 780 3-node cluster result.

  • The SPARC T5-8 server delivers 1.8x the performance per chip compared to the IBM Power 780 non-clustered result.

  • The SPARC T5-8 server delivers 1.4x the performance per chip compared to the IBM Flex x240 Xeon result.

  • The SPARC T5-8 server delivers 1.7x the performance per chip compared to the Sun Server X2-8 system equipped with Intel Xeon processors.

  • The SPARC T5-8 server demonstrated over 3.1 Million 4KB IOP/sec with 76% idle, in a separate IO intensive workload, demonstrating its ability process a large IO workload with lots of processing headroom.

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

  • The Oracle solution utilized Oracle Solaris 11.1 with Oracle Database 11g Enterprise Edition with Partitioning and demonstrates stability and performance with this highly secure operating environment to produce the world record TPC-C benchmark performance.

Performance Landscape

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

System p/c/t tpmC Price
/tpmC
Avail Database Memory
Size
IBM Power 780 Cluster 24/192/768 10,366,254 1.38 USD 10/13/2010 IBM DB2 9.7 6 TB
SPARC T5-8 8/128/1024 8,552,523 0.55 USD 9/25/2013 Oracle 11g R2 4 TB
IBM Power 595 32/64/128 6,085,166 2.81 USD 12/10/2008 IBM DB2 9.5 4 TB
Sun Server X2-8 8/80/160 5,055,888 0.89 USD 7/10/2012 Oracle 11g R2 4 TB
IBM x3850 X5 4/40/80 3,014,684 0.59 USD 7/11/2011 IBM DB2 9.7 3 TB
IBM Flex x240 2/16/32 1,503,544 0.53 USD 8/16/2012 IBM DB2 9.7 768 GB
IBM Power 780 2/8/32 1,200,011 0.69 USD 10/13/2010 IBM DB2 9.5 512 GB

p/c/t - processors, cores, threads
Avail - availability date

Oracle and IBM TPC-C Response times

System tpmC Response Time (sec)
New Order 90th%
Response Time (sec)
New Order Average
IBM Power 780 Cluster 10,366,254 2.100 1.137
SPARC T5-8 8,552,523 0.410 0.234
IBM Power 595 6,085,166 1.690 1.220
IBM Power 780 1,200,011 0.694 0.403

Oracle uses Response Time New Order Average and Response Time New Order 90th% for comparison between Oracle and IBM.

Graphs of Oracle's and IBM's Response Time New Order Average and Response Time New Order 90th% can be found in the full disclosure reports on TPC's website TPC-C Official Result Page.

Configuration Summary and Results

Hardware Configuration:

Server
SPARC T5-8
8 x 3.6 GHz SPARC T5
4 TB memory
2 x 600 GB 10K RPM SAS2 internal disks
12 x 8 Gbs FC HBA

Data Storage
54 x Sun Server X3-2L systems configured as COMSTAR heads, each with
2 x 2.4 GHz Intel Xeon E5-2609 processors
16 GB memory
4 x Sun Flash Accelerator F40 PCIe Cards (400 GB each)
12 x 3 TB 7.2K RPM 3.5" SAS disks
2 x 600 GB 10K RPM SAS2 disks
2 x Brocade 6510 switches

Redo Storage
2 x Sun Server X3-2L systems configured as COMSTAR heads, each with
2 x 2.4 GHz Intel Xeon E5-2609 processors
16 GB memory
12 x 3 TB 7.2K RPM 3.5" SAS disks
2 x 600 GB 10K RPM SAS2 disks

Clients
16 x Sun Server X3-2 servers, each with
2 x 2.9 GHz Intel Xeon E5-2690 processors
64 GB memory
2 x 600 GB 10K RPM SAS2 disks

Software Configuration:

Oracle Solaris 11.1 SRU 4.5 (for SPARC T5-8)
Oracle Solaris 11.1 (for COMSTAR systems)
Oracle Database 11g Release 2 Enterprise Edition with Partitioning
Oracle iPlanet Web Server 7.0 U5
Oracle Tuxedo CFS-R

Results:

System: SPARC T5-8
tpmC: 8,552,523
Price/tpmC: 0.55 USD
Available: 9/25/2013
Database: Oracle Database 11g
Cluster: no
Response Time New Order Average: 0.234 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 Partitioning scales easily to this high level of performance.

  • COMSTAR (Common Multiprotocol SCSI Target) is the software framework that enables an Oracle 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 middleware is used for the client tier of the benchmark. Each web server instance supports more than a quarter-million users while satisfying the 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). SPARC T5-8 (8/128/1024) with Oracle Database 11g Release 2 Enterprise Edition with Partitioning, 8,552,523 tpmC, $0.55 USD/tpmC, available 9/25/2013. IBM Power 780 Cluster (24/192/768) with DB2 ESE 9.7, 10,366,254 tpmC, $1.38 USD/tpmC, available 10/13/2010. IBM x3850 X5 (4/40/80) with DB2 ESE 9.7, 3,014,684 tpmC, $0.59 USD/tpmC, available 7/11/2011. IBM x3850 X5 (4/32/64) with DB2 ESE 9.7, 2,308,099 tpmC, $0.60 USD/tpmC, available 5/20/2011. IBM Flex x240 (2/16/32) with DB2 ESE 9.7, 1,503,544 tpmC, $0.53 USD/tpmC, available 8/16/2012. IBM Power 780 (2/8/32) with IBM DB2 9.5, 1,200,011 tpmC, $0.69 USD/tpmC, available 10/13/2010. Source: http://www.tpc.org/tpcc, results as of 3/26/2013.

Thursday Nov 08, 2012

Improved Performance on PeopleSoft Combined Benchmark using SPARC T4-4

Oracle's SPARC T4-4 server running Oracle's PeopleSoft HCM 9.1 combined online and batch benchmark achieved a world record 18,000 concurrent users experiencing subsecond response time while executing a PeopleSoft Payroll batch job of 500,000 employees in 32.4 minutes.

  • This result was obtained with a SPARC T4-4 server running Oracle Database 11g Release 2, a SPARC T4-4 server running PeopleSoft HCM 9.1 application server and a SPARC T4-2 server running Oracle WebLogic Server in the web tier.

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

  • The average CPU utilization on the SPARC T4-2 server in the web tier was 17%, on the SPARC T4-4 server in the application tier it was 59%, and on the SPARC T4-4 server in the database tier was 47% (online and batch) leaving significant headroom for additional processing across the three tiers.

  • The SPARC T4-4 server used for the database tier hosted Oracle Database 11g Release 2 using Oracle Automatic Storage Management (ASM) for database files management with I/O performance equivalent to raw devices.

Performance Landscape

Results are presented for the PeopleSoft HRMS Self-Service and Payroll combined benchmark. The new result with 128 streams shows significant improvement in the payroll batch processing time with little impact on the self-service component response time.

PeopleSoft HRMS Self-Service and Payroll Benchmark
Systems Users Ave Response
Search (sec)
Ave Response
Save (sec)
Batch
Time (min)
Streams
SPARC T4-2 (web)
SPARC T4-4 (app)
SPARC T4-4 (db)
18,000 0.988 0.539 32.4 128
SPARC T4-2 (web)
SPARC T4-4 (app)
SPARC T4-4 (db)
18,000 0.944 0.503 43.3 64

The following results are for the PeopleSoft HRMS Self-Service benchmark that was previous run. The results are not directly comparable with the combined results because they do not include the payroll component.

PeopleSoft HRMS Self-Service 9.1 Benchmark
Systems Users Ave Response
Search (sec)
Ave Response
Save (sec)
Batch
Time (min)
Streams
SPARC T4-2 (web)
SPARC T4-4 (app)
2x SPARC T4-2 (db)
18,000 1.048 0.742 N/A N/A

The following results are for the PeopleSoft Payroll benchmark that was previous run. The results are not directly comparable with the combined results because they do not include the self-service component.

PeopleSoft Payroll (N.A.) 9.1 - 500K Employees (7 Million SQL PayCalc, Unicode)
Systems Users Ave Response
Search (sec)
Ave Response
Save (sec)
Batch
Time (min)
Streams
SPARC T4-4 (db)
N/A N/A N/A 30.84 96

Configuration Summary

Application Configuration:

1 x SPARC T4-4 server with
4 x SPARC T4 processors, 3.0 GHz
512 GB memory
Oracle Solaris 11 11/11
PeopleTools 8.52
PeopleSoft HCM 9.1
Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031
Java Platform, Standard Edition Development Kit 6 Update 32

Database Configuration:

1 x SPARC T4-4 server with
4 x SPARC T4 processors, 3.0 GHz
256 GB memory
Oracle Solaris 11 11/11
Oracle Database 11g Release 2
PeopleTools 8.52
Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031
Micro Focus Server Express (COBOL v 5.1.00)

Web Tier Configuration:

1 x SPARC T4-2 server with
2 x SPARC T4 processors, 2.85 GHz
256 GB memory
Oracle Solaris 11 11/11
PeopleTools 8.52
Oracle WebLogic Server 10.3.4
Java Platform, Standard Edition Development Kit 6 Update 32

Storage Configuration:

1 x Sun Server X2-4 as a COMSTAR head for data
4 x Intel Xeon X7550, 2.0 GHz
128 GB memory
1 x Sun Storage F5100 Flash Array (80 flash modules)
1 x Sun Storage F5100 Flash Array (40 flash modules)

1 x Sun Fire X4275 as a COMSTAR head for redo logs
12 x 2 TB SAS disks with Niwot Raid controller

Benchmark Description

This benchmark combines PeopleSoft HCM 9.1 HR Self Service online and PeopleSoft Payroll batch workloads to run on a unified database deployed on Oracle Database 11g Release 2.

The PeopleSoft HRSS benchmark kit is a Oracle standard benchmark kit run by all platform vendors to measure the performance. It's an OLTP benchmark where DB SQLs are moderately complex. The results are certified by Oracle and a white paper is published.

PeopleSoft HR SS 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 consist of 14 scenarios which emulate users performing typical HCM transactions such as viewing paycheck, promoting and hiring employees, updating employee profile and other typical HCM application transactions.

All these transactions are well-defined in the PeopleSoft HR Self-Service 9.1 benchmark kit. This benchmark metric is the weighted average response search/save time for all the transactions.

The PeopleSoft 9.1 Payroll (North America) benchmark demonstrates system performance for a range of processing volumes in a specific configuration. This workload represents large batch runs typical of a ERP environment during a mass update. The benchmark measures five application business process run times for a database representing large organization. They are Paysheet Creation, Payroll Calculation, Payroll Confirmation, Print Advice forms, and Create Direct Deposit File. The benchmark metric is the cumulative elapsed time taken to complete the Paysheet Creation, Payroll Calculation and Payroll Confirmation business application processes.

The benchmark metrics are taken for each respective benchmark while running simultaneously on the same database back-end. Specifically, the payroll batch processes are started when the online workload reaches steady state (the maximum number of online users) and overlap with online transactions for the duration of the steady state.

Key Points and Best Practices

  • Two PeopleSoft Domain sets with 200 application servers each on a SPARC T4-4 server were hosted in 2 separate Oracle Solaris Zones to demonstrate consolidation of multiple application servers, ease of administration and performance tuning.

  • Each Oracle Solaris Zone was bound to a separate processor set, each containing 15 cores (total 120 threads). The default set (1 core from first and third processor socket, total 16 threads) was used for network and disk interrupt handling. This was done to improve performance by reducing memory access latency by using the physical memory closest to the processors and offload I/O interrupt handling to default set threads, freeing up cpu resources for Application Servers threads and balancing application workload across 240 threads.

  • A total of 128 PeopleSoft streams server processes where used on the database node to complete payroll batch job of 500,000 employees in 32.4 minutes.

See Also

Disclosure Statement

Copyright 2012, 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 8 November 2012.

Tuesday Oct 02, 2012

Performance of Oracle Business Intelligence Benchmark on SPARC T4-4

Oracle's SPARC T4-4 server configured with four SPARC T4 3.0 GHz processors delivered 25,000 concurrent users on Oracle Business Intelligence Enterprise Edition (BI EE) 11g benchmark using Oracle Database 11g Release 2 running on Oracle Solaris 10.

  • A SPARC T4-4 server running Oracle Business Intelligence Enterprise Edition 11g achieved 25,000 concurrent users with an average response time of 0.36 seconds with Oracle BI server cache set to ON.

  • The benchmark data clearly shows that the underlying hardware, SPARC T4 server, and the Oracle BI EE 11g (11.1.1.6.0 64-bit) platform scales within a single system supporting 25,000 concurrent users while executing 415 transactions/sec.

  • The benchmark demonstrated the scalability of Oracle Business Intelligence Enterprise Edition 11g 11.1.1.6.0, which was deployed in a vertical scale-out fashion on a single SPARC T4-4 server.

  • Oracle Internet Directory configured on SPARC T4 server provided authentication for the 25,000 Oracle BI EE users with sub-second response time.

  • A SPARC T4-4 with internal Solid State Drive (SSD) using the ZFS file system showed significant I/O performance improvement over traditional disk for the Web Catalog activity. In addition, ZFS helped get past the UFS limitation of 32767 sub-directories in a Web Catalog directory.

  • The multi-threaded 64-bit Oracle Business Intelligence Enterprise Edition 11g and SPARC T4-4 server proved to be a successful combination by providing sub-second response times for the end user transactions, consuming only half of the available CPU resources at 25,000 concurrent users, leaving plenty of head room for increased load.

  • The Oracle Business Intelligence on SPARC T4-4 server benchmark results demonstrate that comprehensive BI functionality built on a unified infrastructure with a unified business model yields best-in-class scalability, reliability and performance.

  • Oracle BI EE 11g is a newer version of Business Intelligence Suite with richer and superior functionality. Results produced with Oracle BI EE 11g benchmark are not comparable to results with Oracle BI EE 10g benchmark. Oracle BI EE 11g is a more difficult benchmark to run, exercising more features of Oracle BI.

Performance Landscape

Results for the Oracle BI EE 11g version of the benchmark. Results are not comparable to the Oracle BI EE 10g version of the benchmark.

Oracle BI EE 11g Benchmark
System Number of Users Response Time (sec)
1 x SPARC T4-4 (4 x SPARC T4 3.0 GHz) 25,000 0.36

Results for the Oracle BI EE 10g version of the benchmark. Results are not comparable to the Oracle BI EE 11g version of the benchmark.

Oracle BI EE 10g Benchmark
System Number of Users
2 x SPARC T5440 (4 x SPARC T2+ 1.6 GHz) 50,000
1 x SPARC T5440 (4 x SPARC T2+ 1.6 GHz) 28,000

Configuration Summary

Hardware Configuration:

SPARC T4-4 server
4 x SPARC T4-4 processors, 3.0 GHz
128 GB memory
4 x 300 GB internal SSD

Storage Configuration:

Sun ZFS Storage 7120
16 x 146 GB disks

Software Configuration:

Oracle Solaris 10 8/11
Oracle Solaris Studio 12.1
Oracle Business Intelligence Enterprise Edition 11g (11.1.1.6.0)
Oracle WebLogic Server 10.3.5
Oracle Internet Directory 11.1.1.6.0
Oracle Database 11g Release 2

Benchmark Description

Oracle Business Intelligence Enterprise Edition (Oracle BI EE) delivers a robust set of reporting, ad-hoc query and analysis, OLAP, dashboard, and scorecard functionality with a rich end-user experience that includes visualization, collaboration, and more.

The Oracle BI EE benchmark test used five different business user roles - Marketing Executive, Sales Representative, Sales Manager, Sales Vice-President, and Service Manager. These roles included a maximum of 5 different pre-built dashboards. Each dashboard page had an average of 5 reports in the form of a mix of charts, tables and pivot tables, returning anywhere from 50 rows to approximately 500 rows of aggregated data. The test scenario also included drill-down into multiple levels from a table or chart within a dashboard.

The benchmark test scenario uses a typical business user sequence of dashboard navigation, report viewing, and drill down. For example, a Service Manager logs into the system and navigates to his own set of dashboards using Service Manager. The BI user selects the Service Effectiveness dashboard, which shows him four distinct reports, Service Request Trend, First Time Fix Rate, Activity Problem Areas, and Cost Per Completed Service Call spanning 2002 to 2005. The user then proceeds to view the Customer Satisfaction dashboard, which also contains a set of 4 related reports, drills down on some of the reports to see the detail data. The BI user continues to view more dashboards – Customer Satisfaction and Service Request Overview, for example. After navigating through those dashboards, the user logs out of the application. The benchmark test is executed against a full production version of the Oracle Business Intelligence 11g Applications with a fully populated underlying database schema. The business processes in the test scenario closely represent a real world customer scenario.

See Also

Disclosure Statement

Copyright 2012, 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 30 September 2012.

SPARC T4-4 Delivers World Record First Result on PeopleSoft Combined Benchmark

Oracle's SPARC T4-4 servers running Oracle's PeopleSoft HCM 9.1 combined online and batch benchmark achieved World Record 18,000 concurrent users while executing a PeopleSoft Payroll batch job of 500,000 employees in 43.32 minutes and maintaining online users response time at < 2 seconds.

  • This world record is the first to run online and batch workloads concurrently.

  • This result was obtained with a SPARC T4-4 server running Oracle Database 11g Release 2, a SPARC T4-4 server running PeopleSoft HCM 9.1 application server and a SPARC T4-2 server running Oracle WebLogic Server in the web tier.

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

  • The average CPU utilization on the SPARC T4-2 server in the web tier was 17%, on the SPARC T4-4 server in the application tier it was 59%, and on the SPARC T4-4 server in the database tier was 35% (online and batch) leaving significant headroom for additional processing across the three tiers.

  • The SPARC T4-4 server used for the database tier hosted Oracle Database 11g Release 2 using Oracle Automatic Storage Management (ASM) for database files management with I/O performance equivalent to raw devices.

  • This is the first three tier mixed workload (online and batch) PeopleSoft benchmark also processing PeopleSoft payroll batch workload.

Performance Landscape

PeopleSoft HR Self-Service and Payroll Benchmark
Systems Users Ave Response
Search (sec)
Ave Response
Save (sec)
Batch
Time (min)
Streams
SPARC T4-2 (web)
SPARC T4-4 (app)
SPARC T4-4 (db)
18,000 0.944 0.503 43.32 64

Configuration Summary

Application Configuration:

1 x SPARC T4-4 server with
4 x SPARC T4 processors, 3.0 GHz
512 GB memory
1 x 600 GB SAS internal disks
4 x 300 GB SAS internal disks
1 x 100 GB and 2 x 300 GB internal SSDs
2 x 10 Gbe HBA
Oracle Solaris 11 11/11
PeopleTools 8.52
PeopleSoft HCM 9.1
Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031
Java Platform, Standard Edition Development Kit 6 Update 32

Database Configuration:

1 x SPARC T4-4 server with
4 x SPARC T4 processors, 3.0 GHz
256 GB memory
1 x 600 GB SAS internal disks
2 x 300 GB SAS internal disks
Oracle Solaris 11 11/11
Oracle Database 11g Release 2
PeopleTools 8.52
Oracle Tuxedo, Version 10.3.0.0, 64-bit, Patch Level 031

Web Tier Configuration:

1 x SPARC T4-2 server with
2 x SPARC T4 processors, 2.85 GHz
256 GB memory
2 x 300 GB SAS internal disks
1 x 300 GB internal SSD
1 x 100 GB internal SSD
Oracle Solaris 11 11/11
PeopleTools 8.52
Oracle WebLogic Server 10.3.4
Java Platform, Standard Edition Development Kit 6 Update 32

Storage Configuration:

1 x Sun Server X2-4 as a COMSTAR head for data
4 x Intel Xeon X7550, 2.0 GHz
128 GB memory
1 x Sun Storage F5100 Flash Array (80 flash modules)
1 x Sun Storage F5100 Flash Array (40 flash modules)

1 x Sun Fire X4275 as a COMSTAR head for redo logs
12 x 2 TB SAS disks with Niwot Raid controller

Benchmark Description

This benchmark combines PeopleSoft HCM 9.1 HR Self Service online and PeopleSoft Payroll batch workloads to run on a unified database deployed on Oracle Database 11g Release 2.

The PeopleSoft HRSS benchmark kit is a Oracle standard benchmark kit run by all platform vendors to measure the performance. It's an OLTP benchmark where DB SQLs are moderately complex. The results are certified by Oracle and a white paper is published.

PeopleSoft HR SS 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 consist of 14 scenarios which emulate users performing typical HCM transactions such as viewing paycheck, promoting and hiring employees, updating employee profile and other typical HCM application transactions.

All these transactions are well-defined in the PeopleSoft HR Self-Service 9.1 benchmark kit. This benchmark metric is the weighted average response search/save time for all the transactions.

The PeopleSoft 9.1 Payroll (North America) benchmark demonstrates system performance for a range of processing volumes in a specific configuration. This workload represents large batch runs typical of a ERP environment during a mass update. The benchmark measures five application business process run times for a database representing large organization. They are Paysheet Creation, Payroll Calculation, Payroll Confirmation, Print Advice forms, and Create Direct Deposit File. The benchmark metric is the cumulative elapsed time taken to complete the Paysheet Creation, Payroll Calculation and Payroll Confirmation business application processes.

The benchmark metrics are taken for each respective benchmark while running simultaneously on the same database back-end. Specifically, the payroll batch processes are started when the online workload reaches steady state (the maximum number of online users) and overlap with online transactions for the duration of the steady state.

Key Points and Best Practices

  • Two Oracle PeopleSoft Domain sets with 200 application servers each on a SPARC T4-4 server were hosted in 2 separate Oracle Solaris Zones to demonstrate consolidation of multiple application servers, ease of administration and performance tuning.

  • Each Oracle Solaris Zone was bound to a separate processor set, each containing 15 cores (total 120 threads). The default set (1 core from first and third processor socket, total 16 threads) was used for network and disk interrupt handling. This was done to improve performance by reducing memory access latency by using the physical memory closest to the processors and offload I/O interrupt handling to default set threads, freeing up cpu resources for Application Servers threads and balancing application workload across 240 threads.

See Also

Disclosure Statement

Oracle's PeopleSoft HR and Payroll combined benchmark, www.oracle.com/us/solutions/benchmark/apps-benchmark/peoplesoft-167486.html, results 09/30/2012.

Thursday Mar 29, 2012

Sun Server X2-8 (formerly Sun Fire X4800 M2) Delivers World Record TPC-C for x86 Systems

Oracle's Sun Server X2-8 (formerly Sun Fire X4800 M2 server) equipped with eight 2.4 GHz Intel Xeon Processor E7-8870 chips obtained a result of 5,055,888 tpmC on the TPC-C benchmark. This result is a world record for x86 servers. Oracle demonstrated this world record database performance running Oracle Database 11g Release 2 Enterprise Edition with Partitioning.

  • The Sun Server X2-8 delivered a new x86 TPC-C world record of 5,055,888 tpmC with a price performance of $0.89/tpmC using Oracle Database 11g Release 2. This configuration is available 7/10/12.

  • The Sun Server X2-8 delivers 3.0x times better performance than the next 8-processor result, an IBM System p 570 equipped with POWER6 processors.

  • The Sun Server X2-8 has 3.1x times better price/performance than the 8-processor 4.7GHz POWER6 IBM System p 570.

  • The Sun Server X2-8 has 1.6x times better performance than the 4-processor IBM x3850 X5 system equipped with Intel Xeon processors.

  • This is the first TPC-C result on any system using eight Intel Xeon Processor E7-8800 Series chips.

  • The Sun Server X2-8 is the first x86 system to get over 5 million tpmC.

  • The Oracle solution utilized Oracle Linux operating system and Oracle Database 11g Enterprise Edition Release 2 with Partitioning to produce the x86 world record TPC-C benchmark performance.

Performance Landscape

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

System p/c/t tpmC Price
/tpmC
Avail Database Memory
Size
Sun Server X2-8 8/80/160 5,055,888 0.89 USD 7/10/2012 Oracle 11g R2 4 TB
IBM x3850 X5 4/40/80 3,014,684 0.59 USD 7/11/2011 DB2 ESE 9.7 3 TB
IBM x3850 X5 4/32/64 2,308,099 0.60 USD 5/20/2011 DB2 ESE 9.7 1.5 TB
IBM System p 570 8/16/32 1,616,162 3.54 USD 11/21/2007 DB2 9.0 2 TB

p/c/t - processors, cores, threads
Avail - availability date

Oracle and IBM TPC-C Response times

System tpmC Response Time (sec)
New Order 90th%
Response Time (sec)
New Order Average

Sun Server X2-8 5,055,888 0.210 0.166
IBM x3850 X5 3,014,684 0.500 0.272
Ratios - Oracle Better 1.6x 1.4x 1.3x

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:

Server
Sun Server X2-8
8 x 2.4 GHz Intel Xeon Processor E7-8870
4 TB memory
8 x 300 GB 10K RPM SAS internal disks
8 x Dual port 8 Gbs FC HBA

Data Storage
10 x Sun Fire X4270 M2 servers configured as COMSTAR heads, each with
1 x 3.06 GHz Intel Xeon X5675 processor
8 GB memory
10 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 5300 switches

Redo Storage
2 x Sun Fire X4270 M2 servers configured as COMSTAR heads, each with
1 x 3.06 GHz Intel Xeon X5675 processor
8 GB memory
11 x 2 TB 7.2K RPM 3.5" SAS disks

Clients
8 x Sun Fire X4170 M2 servers, each with
2 x 3.06 GHz Intel Xeon X5675 processors
48 GB memory
2 x 300 GB 10K RPM SAS disks

Software Configuration:

Oracle Linux (Sun Fire 4800 M2)
Oracle Solaris 11 Express (COMSTAR for Sun Fire X4270 M2)
Oracle Solaris 10 9/10 (Sun Fire X4170 M2)
Oracle Database 11g Release 2 Enterprise Edition with Partitioning
Oracle iPlanet Web Server 7.0 U5
Tuxedo CFS-R Tier 1

Results:

System: Sun Server X2-8
tpmC: 5,055,888
Price/tpmC: 0.89 USD
Available: 7/10/2012
Database: Oracle Database 11g
Cluster: no
New Order Average Response: 0.166 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 Partitioning scales easily to this high level of performance.

  • COMSTAR (Common Multiprotocol SCSI Target) is the software framework that enables an Oracle 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 middleware is used for the client tier of the benchmark. Each web server instance supports more than a quarter-million users while satisfying the 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). Sun Server X2-8 (8/80/160) with Oracle Database 11g Release 2 Enterprise Edition with Partitioning, 5,055,888 tpmC, $0.89 USD/tpmC, available 7/10/2012. IBM x3850 X5 (4/40/80) with DB2 ESE 9.7, 3,014,684 tpmC, $0.59 USD/tpmC, available 7/11/2011. IBM x3850 X5 (4/32/64) with DB2 ESE 9.7, 2,308,099 tpmC, $0.60 USD/tpmC, available 5/20/2011. IBM System p 570 (8/16/32) with DB2 9.0, 1,616,162 tpmC, $3.54 USD/tpmC, available 11/21/2007. Source: http://www.tpc.org/tpcc, results as of 7/15/2011.

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 T4-4 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.

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.

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 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.

Thursday Sep 23, 2010

Sun Storage F5100 Flash Array with PCI-Express SAS-2 HBAs Achieves Over 17 GB/sec Read

Sun Storage F5100 Flash Array with PCI-Express SAS-2 HBAs Achieves Over 17 GB/sec Read bandwidth flash openstorage performance storage Oracle's Sun Storage F5100 Flash Array storage is a high-performance, high-density, solid-state flash array delivering 17 GB/sec sequential read throughput performance (1 MB reads) and 10 GB/sec write sequential throughput performance (1 MB writes).
  • Use the PCI-Express SAS-2 HBAs and the slot count can be reduced 50%, compared to the PCI-Express SAS-1 HBAs.

  • The Sun Storage F5100 Flash Array storage using 8 PCI-Express SAS-2 HBAs showed a 33% aggregate, sequential read bandwidth improvement over using 16 PCI-Express SAS-1 HBAs.

  • The Sun Storage F5100 Flash Array storage using 8 PCI-Express SAS-2 HBAs showed a 6% aggregate, sequential write bandwidth improvement over using 16 PCI-Express SAS-1 HBAs.

  • Each SAS port of the Sun Storage F5100 Flash Array storage delivered over 1 GB/sec sequential read performance.

  • Performance data is also presented utilizing smaller numbers of FMODs in the full configuration, demonstrating near perfect scaling from 20 to 80 FMODs.

The Sun Storage F5100 Flash Array storage is designed to accelerate IO-intensive applications, such as databases, at a fraction of the power, space, and cost of traditional hard disk drives. It is based on enterprise-class SLC flash technology, with advanced wear-leveling, integrated backup protection, solid state robustness, and 3M hours MTBF reliability.

Performance Landscape

Results for the PCI-Express SAS-2 HBAs were obtained using four hosts, each configured with 2 HBAs.

Results for the PCI-Express SAS-1 HBAs were obtained using four hosts, each configured with 4 HBAs.

Bandwidth Measurements

Sequential Read (Aggregate GB/sec) for 1 MB Transfers
HBA Configuration FMODs
1 20 40 80
8 SAS-2 HBAs 0.26 4.3 8.5 17.0
16 SAS-1 HBAs 0.26 3.2 6.4 12.8
Sequential Write (Aggregate GB/sec) for 1 MB Transfers
HBA Configuration FMODs
1 20 40 80
8 SAS-2 HBAs 0.14 2.7 5.2 10.3
16 SAS-1 HBAs 0.12 2.4 4.8 9.7

Results and Configuration Summary

Storage Configuration:

Sun Storage F5100 Flash Array
80 Flash Modules
16 ports
4 domains (20 Flash Modules per domain)
CAM zoning - 5 Flash Modules per port

Server Configuration:

4 x Sun Fire X4270 servers, each with
16 GB memory
2 x 2.93 GHz Quad-core Intel Xeon X5570 processors
2 x PCI-Express SAS-2 External HBAs, firmware version SW1.1-RC5

Software Configuration:

OpenSolaris 2009.06 or Oracle Solaris 10 10/09
Vdbench 5.0

Benchmark Description

Two IO performance metrics on the Sun Storage F5100 Flash Array storage using Vdbench 5.0 were measured: 100% Sequential Read and 100% Sequential Write. This demonstrates the maximum performance and throughput of the storage system.

Vdbench is publicly available for download at: http://vdbench.org

Key Points and Best Practices

  • Please note that the Sun Storage F5100 Flash Array storage is a 4KB sector device. Doing IOs of less than 4KB in size, or IOs not aligned on 4KB boundaries, can impact performance on write operations.
  • Drive each Flash Module with 8 outstanding IOs.
  • Both ports of each LSI PCE-Express SAS-2 HBA were used.
  • SPARC platforms will align with the 4K boundary size set by the Flash Array. x86/windows platforms don't necessarily have this alignment built in and can show lower performance.

See Also

Disclosure Statement

The Sun Storage F5100 Flash Array storage delivered 17.0 GB/sec sequential read and 10.3 GB/sec sequential write. Vdbench 5.0 (http://vdbench.org) was used for the test. Results as of September 20, 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 Sep 21, 2010

Sun Flash Accelerator F20 PCIe Cards Outperform IBM on SPC-1C

Oracle's Sun Flash Accelerator F20 PCIe cards delivered outstanding value as measured by the SPC-1C benchmark, showing the advantage of Oracle's Sun FlashFire technology in terms of both performance and price/performance.
  • Three of Sun Flash Accelerator F20 PCIe cards delivered an aggregate of 72,521.11 SPC-1C IOPS, achieving the best price/performance (TSC price / SPC-1C IOPS).

  • The Sun Flash Accelerator F20 PCIe cards delivered 61% better performance at 1/5th the TSC price than the IBM System Storage EXP12S.

  • The Sun Flash Accelerator F20 PCIe cards delivered 9x better price/performance (TSC price / SPC-1C IOPS) than the IBM System Storage EXP12S.

  • The Sun F20 PCIe Flash Accelerators and workload generator were run and priced inside Oracle's Sun Fire X4270M2 server. The storage and workload generator used the same space (2 RU) as the IBM System Storage EXP12S by itself.

  • The Sun Flash Accelerator F20 PCIe cards delivered 6x better access density (SPC-1C IOPS / ASU Capacity (GB)) than the IBM System Storage EXP12S.

  • The Sun Flash Accelerator F20 PCIe cards delivered 1.5x better price / storage capacity (TSC / ASU Capacity (GB)) than the IBM System Storage EXP12S.

  • This type of workload is similar to database acceleration workloads where the storage is used as a low-latency cache. Typically these applications do not require data protection.

Performance Landscape

System SPC-1C
IOPS™
ASU
Capacity
(GB)
TSC Data
Protection
Level
LRT
Response
(µsecs)
Access
Density
Price
/Perf
$/GB Identifier
Sun F5100 300,873.47 1374.390 $151,381 unprotected 330 218.9 $0.50 110.14 C00010
Sun F20 72,521.11 147.413 $15,554 unprotected 468 492.0 $0.21 105.51 C00011
IBM EXP12S 45,000.20 547.610 $87,468 unprotected 460 82.2 $1.94 159.76 E00001

SPC-1C IOPS – SPC-1C performance metric, bigger is better
ASU Capacity – Application storage unit (ASU) capacity (in GB)
TSC – Total price of tested storage configuration, smaller is better
Data Protection Level – Data protection level used in benchmark
LRT Response (µsecs) – Average response time (microseconds) of the 10% BSU load level test run, smaller is better
Access Density – Derived metric of SPC-1C IOPS / ASU Capacity (GB), bigger is better
Price/Perf – Derived metric of TSC / SPC-1C IOPS, smaller is better.
$/GB – Derived metric of TSC / ASU Capacity (GB), smaller is better
Pricing for the IBM EXP12S included maintenance, pricing for the Sun F20 did not
Identifier – The SPC-1C submission identifier

Results and Configuration Summary

Storage Configuration:

3 x Sun Flash Accelerator F20 PCIe cards (4 FMODs each)

Hardware Configuration:

1 x Sun Fire X4270 M2 server
12 GB memory
1 x 2.93 GHz Intel Xeon X5670 processor

Software Configuration:

Oracle Solaris 10
SPC-1C benchmark kit

Benchmark Description

SPC Benchmark 1C? (SPC-1C) is the first Storage Performance Council (SPC) component-level benchmark applicable across a broad range of storage component products such as disk drives, host bus adapters (HBAs), intelligent enclosures, and storage software, such as, Logical Volume Managers. SPC-1C utilizes an identical workload to SPC-1, which is designed to demonstrate the performance of a storage component product, while performing the typical functions of business critical applications. Those applications are characterized by predominately random I/O operations and require both queries, as well as, update operations. Examples of those types of applications include OLTP, database operations, and mail server implementations.

SPC-1C configurations consist of one or more HBAs/Controllers and one of the following storage device configurations:

  • One, two, or four storage devices in a stand alone configuration. An external enclosure may be used, but only to provide power and/or connectivity for the storage devices.

  • A "Small Storage Subsystem" configured in no larger than a 4U enclosure profile (1 - 4U, 2 - 2U, 4 - 1U, etc.).

Key Points and Best Practices

  • For best performance, insure partitions start on a 4K aligned boundary.

See Also

Disclosure Statement

SPC-1C, SPC-1C IOPS, SPC-1C LRT are trademarks of Storage Performance Council (SPC), see www.storageperformance.org for more information. Sun Flash Accelerator F20 PCIe cards SPC-1C submission identifier C00011 results of 72,521.11 SPC-1C IOPS over a total ASU capacity of 147.413 GB using unprotected data protection, a SPC-1C LRT of 0.468 milliseconds, a 100% load over all ASU response time of 6.17 milliseconds and a total TSC price (not including three-year maintenance) of $15,554. Sun Storage F5100 flash array SPC-1C submission identifier C00010 results of 300,873.47 SPC-1C IOPS over a total ASU capacity of 1374.390 GB using unprotected data protection, a SPC-1C LRT of 0.33 milliseconds, a 100% load over all ASU response time of 2.63 milliseconds and a total TSC price (including three-year maintenance) of $151,381. This compares with IBM System Storage EXP12S SPC-1C/E Submission identifier E00001 results of 45,000.20 SPC-1C IOPS over a total ASU capacity of 547.61 GB using unprotected data protection level, a SPC-1C LRT of 0.46 milliseconds, a 100% load over all ASU response time of 6.95 milliseconds and a total TSC price (including three-year maintenance) of $87,468.35. Derived metrics: Access Density (SPC-1C IOPS / ASU Cpacity (GB)); Price / Performance (TSC / SPC-1C IOPS); Price / Storage Capacity (TSC / ASU Cpacity (GB))

The Sun Flash Accelerator F20 PCIe cards is a single half-height, low-profile PCIe card. The IBM System Storage EXP12S is a 2RU (3.5") array.

Thursday Jun 10, 2010

Hyperion Essbase ASO World Record on Sun SPARC Enterprise M5000

Oracle's Sun SPARC Enterprise M5000 server is an excellent platform for implementing Oracle Essbase as demonstrated by the Aggregate Storage Option (ASO) benchmark.

  • Oracle's Sun SPARC Enterprise M5000 server with Oracle Solaris 10 and using Oracle's Sun Storage F5100 Flash Array system has achieved world record performance running the Oracle Essbase Aggregate Storage Option benchmark using Oracle Hyperion Essbase 11.1.1.3 and the Oracle 11g database.

  • The workload used over 1 billion records in a 15 dimensional database with millions of members. Oracle Hyperion is a component of Oracle Fusion Middleware.

  • Sun Storage F5100 Flash Array system provides more than 20% improvement out of the box compared to a mid-size fiber channel disk array for default aggregation and user based aggregation.

  • The Sun SPARC Enterprise M5000 server with Sun Storage F5100 Flash Array system and Oracle Hyperion Essbase 11.1.1.3 running on Oracle Solaris 10 provides less than 1 second query response times for 20K users in a 15 dimensional database.

  • Sun Storage F5100 Flash Array system and Oracle Hyperion Essbase provides the best combination for large Essbase database leveraging ZFS and taking advantage of high bandwidth for faster load and aggregation.

  • Oracle Fusion Middleware provides a family of complete, integrated, hot pluggable and best-of-breed products known for enabling enterprise customers to create and run agile and intelligent business applications. Oracle Hyperion's performance demonstrates why so many customers rely on Oracle Fusion Middleware as their foundation for innovation.

Performance Landscape

System Data Base Size Data Load Def Agg User Aggregation
Sun M5000, 2.53 GHz SPARC64 VII 1000M 269 min 526 min 115 min
Sun M5000, 2.4 GHz SPARC64 VII 400M 120 min 448 min 18 min

less time means faster result.

Results and Configuration Summary

Hardware Configuration:

    Sun SPARC Enterprise M5000
      4 x SPARC64 VII, 2.53 GHz
      64 GB memory
    Sun Storage F5100 Flash Array
      40 x 24 GB Flash modules

Software Configuration:

    Oracle Solaris 10
    Oracle Solaris ZFS
    Installer V 11.1.1.3
    Oracle Hyperion Essbase Client v 11.1.1.3
    Oracle Hyperion Essbase v 11.1.1.3
    Oracle Hyperion Essbase Administration services 64-bit
    Oracle Weblogic 9.2MP3 -- 64 bit
    Oracle Fusion Middleware
    Oracle RDBMS 11.1.0.7 64-bit

Benchmark Description

The benchmark highlights how Oracle Essbase can support pervasive deployments in large enterprises. It simulates an organization that needs to support a large Essbase Aggregate Storage database with over one billion data items, large dimension with 14 million members and 20 thousand active concurrent users, each operating in mixed mode: ad-hoc reporting and report viewing. The application for this benchmark was designed to model a scaled out version of a financial business intelligence application.

The benchmarks simulates typical administrative and user operations in an OLAP application environment. Administrative operations include: dimension build, data load, and data aggregation. User testing modeled a total user base of 200,000 with 10 percent actively retrieving data from Essbase.

Key Points and Best Practices

  • Sun Storage F5100 Flash Array system has been used to accelerate the application performance.
  • Jumbo frames were enabled to faster data loading.

See Also

Disclosure Statement

Oracle Essbase, www.oracle.com/solutions/mid/oracle-hyperion-enterprise.html, results 5/20/2010.

Wednesday Jun 09, 2010

PeopleSoft Payroll 500K Employees on Sun SPARC Enterprise M5000 World Record

Oracle's Sun SPARC Enterprise M5000 server combined with Oracle's Sun Storage F5100 Flash Array system has produced World Record Performance on PeopleSoft Payroll 9.0 (North American) 500K employees benchmark.
  • The Sun SPARC Enterprise M5000 server and the Sun Storage F5100 Flash Array system processed payroll for 500K employees using 32 payroll threads 18% faster than the IBM z10 EC 2097-709 mainframe as measured for payroll processing tasks in the Peoplesoft Payroll 9.0 (North American) benchmark. This IBM mainframe is rated at 6,512 MIPS.

  • The IBM z10 mainframe with nine 4.4 GHz Gen1 processors has a list price over $6M.

  • The Sun SPARC Enterprise M5000 server together with the Sun Storage F5100 Flash Array system processed payroll for 500K employees using 32 payroll threads 92% faster than an HP rx7640 as measured for payroll processing tasks in the Peoplesoft Payroll 9.0 (North American) benchmark.

  • 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 5 msec measured on this benchmark.

  • The Sun SPARC Enterprise M5000 server used the Oracle Solaris 10 operating system and ran with the Oracle 11gR1 database for this benchmark.

Performance Landscape

500K Employees

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, 6,512 MIPS Z/OS /DB2 58.96 80.5 250.68 462.6 8
HP rx7640 8x 1.6GHz Itanium2 HP-UX/Oracle 11g 96.17 133.63 712.72 1665.01 32

Times under all Run columns above represent Payroll processing and Post-processing elapsed times and furthermore:

  • Run 1 = 32 parallel job streams & Single Check option = "No"
  • Run 2 = 32 sequential jobs for Pay Calculation process & 32 parallel job streams for the rest. Single Check option = "Yes"
  • Run 3 = One job stream & Single Check option = "Yes"

Times under Result column represents Payroll processing only.

Results and Configuration Summary

Hardware Configuration:

    1 x Sun SPARC Enterprise M5000 (8 x 2.53 GHz/64 GB)
    1 x Sun Storage F5100 Flash Array (40 x 24 GB FMODs)
    1 x StorageTek 2510 (4 x 136 GB SAS 15K RPM)
    4 x Dual-Port SAS Fibre Channel Host Bus Adapters (HBA)

Software Configuration:

    Oracle Solaris 10 10/09
    Oracle PeopleSoft HCM and Campus Solutions 9.00.00.311 64-bit
    Oracle PeopleSoft Enterprise (PeopleTools) 8.49.25 64-bit
    Oracle 11g R1 11.1.0.7 64-bit
    Micro Focus COBOL Server Express 4.0 SP4 64-bit

Benchmark Description

The PeopleSoft 9.0 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 large organization. The five processes are:

  • Paysheet Creation: generates payroll data worksheet for employees, consisting of std payroll information for each employee for 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 above processes and produces an electronic transmittal file use to transfer payroll funds directly into an employee bank a/c.

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

Key Points and Best Practices

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

See Also

Disclosure Statement

Oracle PeopleSoft Payroll 9.0 benchmark, Sun SPARC Enterprise M5000 (8 2.53GHz SPARC64 VII) 50.11 min, IBM z10 (9 gen1) 58.96 min, HP rx7640 (8 1.6GHz Itanium2) 96.17 min, www.oracle.com/apps_benchmark/html/white-papers-peoplesoft.html, results 6/3/2010.

About

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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