Monday Oct 01, 2012

World Record Batch Rate on Oracle JD Edwards Consolidated Workload with SPARC T4-2

Oracle produced a World Record batch throughput for single system results on Oracle's JD Edwards EnterpriseOne Day-in-the-Life benchmark using Oracle's SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2. The workload includes both online and batch workload.

  • The SPARC T4-2 server delivered a result of 8,000 online users while concurrently executing a mix of JD Edwards EnterpriseOne Long and Short batch processes at 95.5 UBEs/min (Universal Batch Engines per minute).

  • In order to obtain this record benchmark result, the JD Edwards EnterpriseOne, Oracle WebLogic and Oracle Database 11g Release 2 servers were executed each in separate Oracle Solaris Containers which enabled optimal system resources distribution and performance together with scalable and manageable virtualization.

  • One SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2 utilized only 55% of the available CPU power.

  • The Oracle DB server in a Shared Server configuration allows for optimized CPU resource utilization and significant memory savings on the SPARC T4-2 server without sacrificing performance.

  • This configuration with SPARC T4-2 server has achieved 33% more Users/core, 47% more UBEs/min and 78% more Users/rack unit than the IBM Power 770 server.

  • The SPARC T4-2 server with 2 processors ran the JD Edwards "Day-in-the-Life" benchmark and supported 8,000 concurrent online users while concurrently executing mixed batch workloads at 95.5 UBEs per minute. The IBM Power 770 server with twice as many processors supported only 12,000 concurrent online users while concurrently executing mixed batch workloads at only 65 UBEs per minute.

  • This benchmark demonstrates more than 2x cost savings by consolidating the complete solution in a single SPARC T4-2 server compared to earlier published results of 10,000 users and 67 UBEs per minute on two SPARC T4-2 and SPARC T4-1.

  • The Oracle DB server used mirrored (RAID 1) volumes for the database providing high availability for the data without impacting performance.

Performance Landscape

JD Edwards EnterpriseOne Day in the Life (DIL) Benchmark
Consolidated Online with Batch Workload

System Rack
Units
(U)
Batch
Rate
(UBEs/m)
Online
Users
Users
/ U
Users
/ Core
Version
SPARC T4-2 (2 x SPARC T4, 2.85 GHz) 3 95.5 8,000 2,667 500 9.0.2
IBM Power 770 (4 x POWER7, 3.3 GHz, 32 cores) 8 65 12,000 1,500 375 9.0.2

Batch Rate (UBEs/m) — Batch transaction rate in UBEs per minute

Configuration Summary

Hardware Configuration:

1 x SPARC T4-2 server with
2 x SPARC T4 processors, 2.85 GHz
256 GB memory
4 x 300 GB 10K RPM SAS internal disk
2 x 300 GB internal SSD
2 x Sun Storage F5100 Flash Arrays

Software Configuration:

Oracle Solaris 10
Oracle Solaris Containers
JD Edwards EnterpriseOne 9.0.2
JD Edwards EnterpriseOne Tools (8.98.4.2)
Oracle WebLogic Server 11g (10.3.4)
Oracle HTTP Server 11g
Oracle Database 11g Release 2 (11.2.0.1)

Benchmark Description

JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations.

Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company.

  • The workload consists of online transactions and the UBE – Universal Business Engine workload of 61 short and 4 long UBEs.

  • LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time.

  • The UBE processes workload runs from the JD Enterprise Application server.

    • Oracle's UBE processes come as three flavors:

      • Short UBEs < 1 minute engage in Business Report and Summary Analysis,

      • Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address,

      • Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs.

    • The UBE workload generates large numbers of PDF files reports and log files.

    • The UBE Queues are categorized as the QBATCHD, a single threaded queue for large and medium UBEs, and the QPROCESS queue for short UBEs run concurrently.

Oracle's UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute.

Key Points and Best Practices

Two JD Edwards EnterpriseOne Application Servers, two Oracle WebLogic Servers 11g Release 1 coupled with two Oracle Web Tier HTTP server instances and one Oracle Database 11g Release 2 database on a single SPARC T4-2 server were hosted in separate Oracle Solaris Containers bound to four processor sets to demonstrate consolidation of multiple applications, web servers and the database with best resource utilizations.

  • Interrupt fencing was configured on all Oracle Solaris Containers to channel the interrupts to processors other than the processor sets used for the JD Edwards Application server, Oracle WebLogic servers and the database server.

  • A Oracle WebLogic vertical cluster was configured on each WebServer Container with twelve managed instances each to load balance users' requests and to provide the infrastructure that enables scaling to high number of users with ease of deployment and high availability.

  • The database log writer was run in the real time RT class and bound to a processor set.

  • The database redo logs were configured on the raw disk partitions.

  • The Oracle Solaris Container running the Enterprise Application server completed 61 Short UBEs, 4 Long UBEs concurrently as the mixed size batch workload.

  • The mixed size UBEs ran concurrently from the Enterprise Application server with the 8,000 online users driven by the LoadRunner.

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 09/30/2012.

Oracle TimesTen In-Memory Database Performance on SPARC T4-2

The Oracle TimesTen In-Memory Database is optimized to run on Oracle's SPARC T4 processor platforms running Oracle Solaris 11 providing unsurpassed scalability, performance, upgradability, protection of investment and return on investment. The following demonstrate the value of combining Oracle TimesTen In-Memory Database with SPARC T4 servers and Oracle Solaris 11:

On a Mobile Call Processing test, the 2-socket SPARC T4-2 server outperforms:

  • Oracle's SPARC Enterprise M4000 server (4 x 2.66 GHz SPARC64 VII+) by 34%.

  • Oracle's SPARC T3-4 (4 x 1.65 GHz SPARC T3) by 2.7x, or 5.4x per processor.

Utilizing the TimesTen Performance Throughput Benchmark (TPTBM), the SPARC T4-2 server protects investments with:

  • 2.1x the overall performance of a 4-socket SPARC Enterprise M4000 server in read-only mode and 1.5x the performance in update-only testing. This is 4.2x more performance per processor than the SPARC64 VII+ 2.66 GHz based system.

  • 10x more performance per processor than the SPARC T2+ 1.4 GHz server.

  • 1.6x better performance per processor than the SPARC T3 1.65 GHz based server.

In replication testing, the two socket SPARC T4-2 server is over 3x faster than the performance of a four socket SPARC Enterprise T5440 server in both asynchronous replication environment and the highly available 2-Safe replication. This testing emphasizes parallel replication between systems.

Performance Landscape

Mobile Call Processing Test Performance

System Processor Sockets/Cores Tps Tps/
Socket
SPARC T4-2 SPARC T4, 2.85 GHz 2 16 218,400 109,200
M4000 SPARC64 VII+, 2.66 GHz 4 16 162,900 40,725
SPARC T3-4 SPARC T3, 1.65 GHz 4 64 80,400 20,100

TimesTen Performance Throughput Benchmark (TPTBM) Read-Only

System Processor Sockets/Cores Tps Tps/
Socket
SPARC T4-2 SPARC T4, 2.85 GHz 2 16 6.5M 3.3M
SPARC T3-4 SPARC T3, 1.65 GHz 4 64 7.9M 2.0M
M4000 SPARC64 VII+, 2.66 GHz 4 16 3.1M 0.8M
T5440 SPARC T2+, 1.4 GHz 4 32 3.1M 0.8M

TimesTen Performance Throughput Benchmark (TPTBM) Update-Only

System Processor Sockets/Cores Tps Tps/
Socket
SPARC T4-2 SPARC T4, 2.85 GHz 2 16 547,800 273,900
M4000 SPARC64 VII+, 2.66 GHz 4 16 363,800 90,950
SPARC T3-4 SPARC T3, 1.65 GHz 4 64 240,250 60,125

TimesTen Replication Tests

System Processor Sockets/Cores Asynchronous 2-Safe
SPARC T4-2 SPARC T4, 2.85 GHz 2 16 38,024 13,701
SPARC T5440 SPARC T2+, 1.4 GHz 4 32 11,621 4,615

Configuration Summary

Hardware Configurations:

SPARC T4-2 server
2 x SPARC T4 processors, 2.85 GHz
256 GB memory
1 x 8 Gbs FC Qlogic HBA
1 x 6 Gbs SAS HBA
4 x 300 GB internal disks
Sun Storage F5100 Flash Array (40 x 24 GB flash modules)
1 x Sun Fire X4275 server configured as COMSTAR head

SPARC T3-4 server
4 x SPARC T3 processors, 1.6 GHz
512 GB memory
1 x 8 Gbs FC Qlogic HBA
8 x 146 GB internal disks
1 x Sun Fire X4275 server configured as COMSTAR head

SPARC Enterprise M4000 server
4 x SPARC64 VII+ processors, 2.66 GHz
128 GB memory
1 x 8 Gbs FC Qlogic HBA
1 x 6 Gbs SAS HBA
2 x 146 GB internal disks
Sun Storage F5100 Flash Array (40 x 24 GB flash modules)
1 x Sun Fire X4275 server configured as COMSTAR head

Software Configuration:

Oracle Solaris 11 11/11
Oracle TimesTen 11.2.2.4

Benchmark Descriptions

TimesTen Performance Throughput BenchMark (TPTBM) is shipped with TimesTen and measures the total throughput of the system. The workload can test read-only, update-only, delete and insert operations as required.

Mobile Call Processing is a customer-based workload for processing calls made by mobile phone subscribers. The workload has a mixture of read-only, update, and insert-only transactions. The peak throughput performance is measured from multiple concurrent processes executing the transactions until a peak performance is reached via saturation of the available resources.

Parallel Replication tests using both asynchronous and 2-Safe replication methods. For asynchronous replication, transactions are processed in batches to maximize the throughput capabilities of the replication server and network. In 2-Safe replication, also known as no data-loss or high availability, transactions are replicated between servers immediately emphasizing low latency. For both environments, performance is measured in the number of parallel replication servers and the maximum transactions-per-second for all concurrent processes.

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 1 October 2012.

World Record Performance on PeopleSoft Enterprise Financials Benchmark on SPARC T4-2

Oracle's SPARC T4-2 server achieved World Record performance on Oracle's PeopleSoft Enterprise Financials 9.1 executing 20 Million Journals lines in 8.92 minutes on Oracle Database 11g Release 2 running on Oracle Solaris 11. This is the first result published on this version of the benchmark.

  • The SPARC T4-2 server was able to process 20 million general ledger journal edit and post batch jobs in 8.92 minutes on this benchmark that reflects a large customer environment that utilizes a back-end database of nearly 500 GB.

  • This benchmark demonstrates that the SPARC T4-2 server with PeopleSoft Financials 9.1 can easily process 100 million journal lines in less than 1 hour.

  • The SPARC T4-2 server delivered more than 146 MB/sec of IO throughput with Oracle Database 11g running on Oracle Solaris 11.

Performance Landscape

Results are presented for PeopleSoft Financials Benchmark 9.1. Results obtained with PeopleSoft Financials Benchmark 9.1 are not comparable to the the previous version of the benchmark, PeopleSoft Financials Benchmark 9.0, due to significant change in data model and supports only batch.

PeopleSoft Financials Benchmark, Version 9.1
Solution Under Test Batch (min)
SPARC T4-2 (2 x SPARC T4, 2.85 GHz) 8.92

Results from PeopleSoft Financials Benchmark 9.0.

PeopleSoft Financials Benchmark, Version 9.0
Solution Under Test Batch (min) Batch with Online (min)
SPARC Enterprise M4000 (Web/App)
SPARC Enterprise M5000 (DB)
33.09 34.72
SPARC T3-1 (Web/App)
SPARC Enterprise M5000 (DB)
35.82 37.01

Configuration Summary

Hardware Configuration:

1 x SPARC T4-2 server
2 x SPARC T4 processors, 2.85 GHz
128 GB memory

Storage Configuration:

1 x Sun Storage F5100 Flash Array (for database and redo logs)
2 x Sun Storage 2540-M2 arrays and 2 x Sun Storage 2501-M2 arrays (for backup)

Software Configuration:

Oracle Solaris 11 11/11 SRU 7.5
Oracle Database 11g Release 2 (11.2.0.3)
PeopleSoft Financials 9.1 Feature Pack 2
PeopleSoft Supply Chain Management 9.1 Feature Pack 2
PeopleSoft PeopleTools 8.52 latest patch - 8.52.03
Oracle WebLogic Server 10.3.5
Java Platform, Standard Edition Development Kit 6 Update 32

Benchmark Description

The PeopleSoft Enterprise Financials 9.1 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 20 million journal lines using AppEngine for edits and Cobol for post processes.

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 1 October 2012.

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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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