Monday Oct 26, 2015

Oracle FLEXCUBE Universal Banking: SPARC T7-1 World Record

Oracle's SPARC T7-1 servers running Oracle FLEXCUBE Universal Banking Release 12 along with Oracle Database 12c Enterprise Edition with Oracle Real Application Clusters on Oracle Solaris 11 produced record results for two processor solutions.

  • Two SPARC T7-1 servers each running Oracle FLEXCUBE Universal Banking Release 12 (v 12.0.1) and Oracle Real Application Clusters 12c database on Oracle Solaris 11 achieved record End of Year batch processing of 25 million accounts with 200 branches in 4 hrs 34 minutes (total of two processors).

  • A single SPARC T7-1 server running Oracle FLEXCUBE Universal Banking Release 12 processing 100 branches was able to complete the workload in similar time as the two node 200 branches End of Year workload, demonstrating good scaling of the application.

  • The customer representative workload for all 25 million accounts included saving accounts, current accounts, loans and TD accounts were created on the basis 25 million Customer IDs with 200 branches.

  • Oracle's SPARC M7 and T7 Servers running Oracle Solaris 11 with built-in Silicon Secured Memory with Oracle Database 12c can benefit global retail and corporate financial institutions who are running Oracle FLEXCUBE Universal Banking Release 12. The uniquely co-engineered Oracle software and hardware unlock unique agile capabilities demanded by modern business environments.

  • The SPARC T7-1 system and Oracle Solaris are able to provide a combination of uniquely essential characteristics that resonate with core values for a modern financial services institution.

  • The SPARC M7 processor based systems are capable of delivering higher performance and lower total cost of ownership (TCO) than older SPARC infrastructure, without introducing the unseen tax and risk of migrating applications away from older SPARC systems.

Performance Landscape

Oracle FLEXCUBE Universal Banking Release 12
End of Year Batch Processing
System Branches Time in Minutes
2 x SPARC T7-1 200 274 (min)
1 x SPARC T7-1 100 268 (min)

Configuration Summary

Systems Under Test:

2 x SPARC T7-1 each with
1 x SPARC M7 processor, 4.13 GHz
256 GB memory
Oracle Solaris 11.3 (11.3.0.27.0)
Oracle Database 12c (RAC/ASM 12.1.0.2 BP7)
Oracle FLEXCUBE Universal Banking Release 12

Storage Configuration:

Oracle ZFS Storage ZS4-4 appliance

Benchmark Description

The Oracle FLEXCUBE Universal Banking Release 12 benchmark models an actual customer bank with End of Cycle transaction batch jobs which typically execute during non-banking hours. This benchmark includes accrual for savings and term deposit accounts, interest capitalization for saving accounts, interest pay out for term deposit accounts and consumer load processing.

This benchmark helps banks refine their infrastructure requirements for the volumes and scale of operations for business expansion. The end of cycle can be year, month or day, with year having the most processing followed by month and then day.

See Also

Disclosure Statement

Copyright 2015, 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 25 October 2015.

PeopleSoft Enterprise Financials 9.2: SPARC T7-2 World Record

Oracle's SPARC T7-2 server achieved world record performance being the first to publish on Oracle's PeopleSoft Enterprise Financials 9.2 benchmark. This result was obtained using one Oracle VM Server for SPARC (LDom) virtualized system configured with a single SPARC M7 processor.

  • The single processor LDom on the SPARC T7-2 server achieved world record performance executing 200 million Journal Lines in 18.60 minutes.

  • The single processor LDom on the SPARC T7-2 server was able to process General Ledger Journal Edit and Post batch jobs at 10,752,688 journal lines/min which reflects a large customer environment that utilizes a back-end database of nearly 1.0 TB performing highly competitive journal processing for Ledger.

Performance Landscape

Results are presented for PeopleSoft Financials Benchmark 9.2. Results obtained with PeopleSoft Financials Benchmark 9.2 are not comparable to the the previous version of the benchmark, PeopleSoft Financials Benchmark 9.1, due to significant change in data model and supports only batch.

PeopleSoft Financials Benchmark, Version 9.2
Solution Under Test Batch Journal lines/min
SPARC T7-2 (using 1 x SPARC M7, 4.13 GHz) 18.60 min 10,752,688

Configuration Summary

System:

SPARC T7-2 server with
2 x SPARC M7 processors
1 TB memory
4 x Oracle Flash Accelerator F160 PCIe Card (DB Redo, DB undo and DB Data)
4 x 600 GB internal disks
Oracle Solaris 11.3
Oracle Database 11g (11.2.0.4)
PeopleSoft Financials (9.20.348)
PeopleSoft PeopleTools (8.53.09)
Java HotSpot 64-Bit Server VM (build 1.7.0_45-b18)
Oracle Tuxedo, Version 11.1.1.3.0, 64-bit
Oracle WebLogic Server 11g (10.3.6)

LDom Under Test:

Oracle VM Server for SPARC (LDom) virtualized server (APP & DB Tier)
1 x SPARC M7 processor
512 GB memory

Benchmark Description

The PeopleSoft Enterprise Financials 9.2 benchmark emulates a large enterprise that processes and validates a large number of financial journal transactions before posting the journal entry to the ledger. The validation process certifies that the journal entries are accurate, ensuring that ChartFields values are valid, debits and credits equal out, and inter/intra-units are balanced. Once validated, the entries are processed, ensuring that each journal line posts to the correct target ledger, and then changes the journal status to posted. In this benchmark, the Journal Edit & Post is set up to edit and post both Inter-Unit and Regular multi-currency journals. The benchmark processes 200 million journal lines using AppEngine for edits and Cobol for post processes.

Key Points and Best Practices

  • The PeopleSoft Enterprise Financials 9.2 Batch benchmark ran on a one chip LDom consisting of 32 cores, each core had 8 threads. All total there were 256 virtual processors.

  • The LDom contained two Oracle Solaris Zones: a database tier zone and an application tier zone. The application tier zone consisted of 1 core with 8 virtual processors. The database tier zone consisted of 244 virtual processors from 31 cores. The remaining four virtual processors were dedicated to network and disk interrupt handling.

  • Inside of the database tier zone, the database log writer ran under 4 virtual processors and eight virtual processors were dedicated to four database writers.

  • There were 160 PeopleSoft Application instance processes running 320 streams of PeopleSoft Financial workload in the Oracle Solaris Fixed Priority FX class.

See Also

Disclosure Statement

Copyright 2015, 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 25 October 2015.

Tuesday Mar 26, 2013

SPARC T5-2 Scores Oracle FLEXCUBE Universal Banking Benchmark World Record Performance

Oracle's SPARC T5-2 server running Oracle FLEXCUBE Universal Banking Release 12 along with Oracle Database 11g Release 2 on Oracle Solaris 11 produced record results.

  • A SPARC T5-2 server running Oracle FLEXCUBE Universal Banking Release 12 and Oracle Real Application Clusters (RAC) Database 11g Release 2 processed 25 million accounts in 150 minutes for the End of Month workloads with an average utilization of 55% and 196 minutes utilizing 20 cores with an average cpu utilization of 85%.

  • A SPARC T5-2 server running Oracle FLEXCUBE Universal Banking Release 12 and Oracle Real Application Clusters (RAC) Database 11g Release 2 processed 25 million accounts in 56 minutes for the End of Day workload utilizing just 20 cores.

  • A SPARC T5-2 server running Oracle FLEXCUBE Universal Banking Release 12 achieved twice the throughput compared to a SPARC T4-4 server (which has twice the number of processors) for End of Month batch processing.

  • A SPARC T5-2 server running Oracle FLEXCUBE Universal Banking Release 12 achieved a record result processing 10.14 million accounts in 28 minutes for the End of Day workload with an average cpu utilization of 72% on a single server.

  • These results demonstrate how SPARC T5 processor systems along with Oracle Solaris 11 can benefit global, private and corporate financial institutions who are running Oracle FLEXCUBE Universal Banking. The uniquely co-engineered Oracle software and SPARC T5 processor based system unlock unique agile capabilities demanded by modern business environments.

  • The SPARC T5-2 system along with Oracle Solaris is able to provide a combination of uniquely essential characteristics that resonate with core values for a modern financial services institution.

  • The SPARC T5 processor based systems are capable of delivering higher performance and lower total cost of ownership (TCO) than older SPARC infrastructure, without introducing the unseen tax and risk of migrating applications away from older SPARC systems.

Performance Landscape

Oracle FLEXCUBE Universal Banking Release 12
End of Month Batch Processing
System Customer
Accounts
Time in Minutes Notes
SPARC T5-2 25M 150.66 RAC (two systems)
SPARC T5-2 10.14M 101.92 single instance
SPARC T4-4 10.14M 108.77 single instance
SPARC T4-4 5M 106.18 single instance, two chips

Oracle FLEXCUBE Universal Banking Release 12
End of Day Batch Processing
System Customer
Accounts
Time in Minutes Notes
SPARC T5-2 25M 56.05 RAC (two systems)
SPARC T5-2 10.14M 27.87 single instance

Configuration Summary

SPARC T5 Configuration:

1 x SPARC T5-2 with
2 x SPARC T5 processors, 3.6 GHz
512 GB memory
1 x SPARC T5-2 with
2 x SPARC T5 processors, 3.6 GHz
256 GB memory
Oracle Solaris 11 11/11
Oracle Database 11g Release 2 (RAC/ASM 11.2.0.3.0)
Oracle FLEXCUBE Universal Banking Release 12.0.1

SPARC T4 Configuration:

2 x SPARC T4-4, each with
4 x SPARC T4 processors, 3.0 GHz
512 GB memory
Oracle Solaris 11 11/11
Oracle Database 11g Release 2 (RAC/ASM 11.2.0.3.0)
Oracle FLEXCUBE Universal Banking Release 12.0.1

Storage Configuration:

3 x Sun Storage 6180 Array with
16 x 300 GB disks, 15K RPM (total of 48)
4 x Sun Storage CSM200 Expansion Trays, each with
16 x 73 GB disks, 15K RPM (total of 64)
Configured as RAID0, ASM external redundancy
Tests run with single instance DB (single node) and with ASM two nodes
ASM configuration identical on both 2 machines
Oracle Database 11g Release 2 ASM 11.2.0.3.0 64bit (19 TB)

Benchmark Description

The Oracle FLEXCUBE Universal Banking Release 12 benchmark models an actual customer bank with End of Cycle transaction batch jobs which typically execute during non-banking hours. This benchmark includes end of day accrual for savings and term deposit accounts, interest capitalization for saving accounts, and interest pay out for term deposit accounts. The results of the benchmark are certified by Oracle and a white paper is published.

End of cycle batch tests are conducted to measure the throughput capabilities of the system. It helps banks to decide the end of cycle processing window required to do the back office processing. The End of Day (EOD) batch test includes the following:

  • Mark End of Transaction Input
  • Value Dated Balance update
  • Interest and Charges (IC) Batch
  • Mark End of Financial Input
  • Mark End of Day
  • Date Change
  • Mark Transaction Input
The End of Month (EOM) batch test includes additional tests. These batches typically execute during non-banking hours. The goal is to ensure that the system is able to complete the batch operations for the planned volumes End of Day (EOD) within 60 minutes and End of Month (EOM) including interest and charges liquidation within 180 minutes.

 

See Also

Disclosure Statement

Copyright 2013, 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 26 March 2013.

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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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