Thursday Dec 02, 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

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.

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.

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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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