OOW15 - Getting Optimal Performance from Oracle E-Business Suite

Copyright © 2015, Oracle and/or its affiliates. All rights reserved. |
Achieving Optimal Performance
with Oracle E-Business Suite
Samer Barakat
Director, Applications Performance Group
Applications Technology Group, Oracle E-Business Suite Development
October 26, 2015
Oracle Confidential – Internal/Restricted/Highly RestrictedCopyright © 2015, Oracle and/or its affiliates. All rights reserved. |

Program Agenda
Optimizing Applications Tier
Optimizing Database Tier
Optimizing E-Business Suite on RAC
Optimizing E-Business (Engineered Systems)
Optimizing E-Business (Database In-Memory)
Optimizing E-Business Data Management
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2
3
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5
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Copyright © 2015, Oracle and/or its affiliates. All rights reserved. | 4
Client
JDBC/SQLNet
HTTP/S
Application Database
RAC & ASM
Global Single
Data Model
Edition-Based
Redefinition
WebLogic JSP
Forms
BI Publisher
BC4J
WebListener
UIX 11g
WebLogic Server
Optimizing E-Business Suite

Optimizing E-Business Suite
Applications Tier
5

Optimizing E-Business Suite Applications Tier
Stay Current
• Keep the system current on AD/ATG/OAM code e.g. apply latest AD/ATG RUPs. review ETCC compliance
checker recommendations
• Apply the latest EBS Family Packs + Recommended Patch List
• Critical EBS patches are also listed in the E-Business Suite 12.2 readme files
• For 12.2, review Oracle E-Business Suite Release 12.2: Consolidated List of Patches and Technology Bug Fixes
(MOS ID 1594274.1). Use the Database and Middle Tier E-Business Business Technology Compliance Checker
• For 12.2, apply the Latest AD and TXK Release Update Packs to Oracle E-Business Suite Release 12.2 (MOS ID
1617461.1)
• Apply “Recommended Performance Patches for the Oracle E-Business Suite”, MOS ID 244040.1
– Recommended performance patches for all the modules and tech stack components are consolidated in this
note
• Upgrade techstack components to the latest certified levels
– Check http://blogs.oracle.com/stevenChan/resource/certifications.html
6

Use Optimal Logging Settings
• As logging and enabling debug messages have considerable impact on performance, always
make sure that the associated profiles are set properly while keeping logging levels to
minimum.
• FND: Debug Log Enabled - Set it to ‘Yes’ (12.0 RUP3+, 12.1.x, 12.2)
• FND: Debug Log Level - Set to Unexpected (Level=6)
• Query FND_LOG_MESSAGES to check the logging traffic
• Note that with above profile configuration
– If the query shows a large number of rows being created, there are likely to be exceptions
and errors that need to be investigated
7

Optimize Workflow Processes
• Purge runtime data (Concurrent Program: FNDWFPR)
– Can run by ITEM_TYPE
– Monitor/Troubleshoot old workflows that are not properly closed
– Purge frequently
• For background engines via Concurrent Manager, set the ‘Process Stuck’ parameter to ‘No’
– Identification of stuck workflows is resource intensive
– Start a separate background engine to handle stuck/timed out processes with a low
frequency –i.e. once a day
• Use deferred activities to improve online response times for flows such as Scheduling, PO
Document Approval, etc.
8

Optimize Workflow Processes
• Run $FND_TOP/sql/wffngen.sql to translate the activity function calls into static calls
– Edit & add heavily used ITEM_TYPES
– For example, itemtypelist_t (‘WFSTD’,’FNDFFWF’)
– Generate wffncal2b.pls in utl_file_dir to recreate package.
• Disable retention on Workflow Queues
– DBMS_AQADM.ALTER_QUEUE(queue_name=>:b1,retention_time=>0);
• Verify that runtime tables are partitioned for improved performance and scalability – MOS ID:
260884.1
• For high volume batch processing in RAC use ITEM_TYPE to Node affinity
• Define node affinity at the program level (MOS ID 1129203.1)
9

Optimize Forms Processes
• Reduce load on the database server: train applications users to optimally utilize the professional
Forms interfaces by:
– Avoiding blind queries with unselective filtering criteria
– Providing selective criteria in find windows and LOVs (to enable index use)
• Minimize network traffic and form open times: train applications users to
– Avoid opening and closing forms across transactions
– Combine forms from multiple-products on a single menu
• Reducing system load and network overhead, is especially important for deployments with high
user concurrency levels and high latency connections
• Monitor concurrency levels and system load on the applications tier
• Generate complete SQL Trace and Forms Runtime Diagnostics (FRD) to debug performance
issues
10

• From a simplistic point of view,
Oracle E-Business Suite is…
– A handful of web applications
– Deployed on clusters of managed
servers
– Managed by an Admin Server
– Deployed within a WebLogic Server
Domain
Size The Middle Tier For Concurrency
WLS Domain
Admin Server
oacore_server1oacore_cluster 1
forms_server1forms_cluster 1
oafm_server1oafm_cluster 1
Forms-c4ws_server1forms-c4ws_cluster 1

Size The Middle Tier For Concurrency (JVM Heaps)
• The main contributors to the middle tier memory are the JVMs heaps, forms (frmweb) process
memory and concurrent manager components, especially java concurrent programs.
• To calculate physical memory for the oacore JVM heap, the following formula can be used:
M= (N/ 150 ) * 1 GB
Where M = total memory used by oacore VMs
N = total number of concurrent Self-Service users
• Use one JVM per 1-2 CPUs (dependent on the CPU speed)
• Aim to have around 100-150 concurrent users per JVM
12

• Total available memory is the most important factor affecting GC performance.
• Monitor the frequency of collections, especially major collections (i.e. Full GC)
• Enable verbose GC to tune heap sizes based on the GC traffic
• Start with: -Xms2048M and –Xmx2048M
• Setting -Xms and -Xmx to the same value avoids the need for heap memory re-allocation
during runtime
• Consider using jstat to monitor and review each of the heap generations for possible tuning
• Increase the number of JVMs to scale up for more users with faster GC times.
– Each JVM has a smaller Xmx,Xms memory footprint so full GCs will be faster!
13

• Managed JVM instances sizing should consider both memory and CPU domains.
• On 64bit environment, we do not recommend allocating huge heap sizes, but rather have
more managed instances in the cluster to scale up to the target concurrency levels
• For 12.2, for Admin Server sizing, the default size of 512MB is not enough for most
installations, we recommend setting the XMS to at least 1 GB and the XMX to 2GB
– The default sizing is set to 1GB
• For 12.2, consider additional sizing requirements for online patching. Initial sizing guidance
for 12.2 can be found in the Database and Application Tier Sizing Guidelines section of the
Oracle E-Business Suite Installation Guide: Using Rapid Install (Part No. E22950)
Managing Configuration of Oracle HTTP Server and Oacore, Oafm, Forms and Forms-c4ws
Applications in Oracle E-Business Suite Release 12.2 (MOS ID 1905593.1)
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Size The Middle Tier For Concurrency (Forms)
• To calculate physical memory for Forms frmweb processes, the following formula can be
uses used:
M= N * 40MB
Where
M = total memory used by Forms frmweb processes
N = total number of concurrent Forms users
40 MB is the average memory used by the frmweb process
• Care should be taken to size for the concurrent manager components, especially java
concurrent programs.
15

Optimize the Concurrent Manager
• Manage CM Jobs Lifecycle: 50% of performance tuning is in the business!
– Review long-running auto resubmitted jobs to ensure that they are still required
– Review jobs that have a huge variance in run time to ensure all users are using selective
parameters
– Don’t purge jobs that the users then have to run again
– Trim the fat: Review and eliminate concurrent jobs that are not required and/or are not
being used by users.
• Manage CM Managers: More managers/workers != more throughput
– Avoid enabling an excessive number of standard or specialized managers.
– A common guideline is between 1-2 target process per CPU, but this needs to be balanced
with resources required by online activity
– Utilize Parallel Concurrent Processing (PCP) to leverage the Cluster (RAC)
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• Manage CM Schedules:
– Use specialization rules and work shifts to bind specific jobs to specific time windows
– Avoid scheduling resource intensive batch requests during peak user/on-line activity
– Reschedule some programs to run when the concurrent managers have available capacity
– Define Workload Management Strategy based on job average duration and system usage profile
• Manage CM State Data:
– Purge the FND tables on a regular basis using the “Purge Concurrent Request and Manager Data”
program
– High throughput: Keep *.out and *.log on fast disks. Use separate disks if throughput seems slow
especially on NFS Filers
– Truncate the reports.log file in log directory. Watch for 2GB limit on any output files
(MOS ID 842850.1)
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• Manage CM State Data:
– Double check the NFS parameters as per MOS ID 1375769.1 and verify if any further tuning can be
applied. Mainly the read and write sizes should be set to at least 64KB
– Double check the concurrent manager jobs activities and load on the system. Each concurrent
program has a parameter, SHELF_LIFE, which can be used to specify how long the logs and output
from the program should be kept.
– Optimize log directory access time by reducing the “inode” file entries. In Oracle E-Business Suite
R12.2,there is a new environment variable, APPLLDM, which was introduced to specify whether log
and out files are stored in a single directory for all Oracle E-Business Suite products, or in one
subdirectory per product
– Check Managing Concurrent Manager Log and Out Directories (MOS ID 1616827.1)
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Optimize the Concurrent Manager: Workload Management Strategy
Avoid Short Sleep Times
– *Enough for a couple of minutes of work
– **Set cache size to at least twice the number of workers
Specialization rules and work shifts
– Bind specific jobs to specific time windows
– Profile Option: Concurrent: Active Request Limit can be used restrict the number of concurrent requests
that may be run simultaneously by each user
– Specialize if there are too many jobs in a specific category
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• Conflict Resolution Manager Sleep Time:
– To maximize throughput for jobs which spawn parallel workers (i.e. Auto Invoice, Payroll), consider
reducing the sleep time of the Conflict Resolution Manager (CRM)
– Default is 60s, consider 5 or 10 seconds
• Concurrent Manager Sleep Time:
– Define dedicated queues for short and frequent requests and increase the sleep times for managers
which do not require near real-time job execution
– Reducing sleep time to a very low value many cause excessive CPU utilization
• Transaction Manager Sleep Time:
– Set the profile “Concurrent:Wait for Available TM” to 1 (second) to minimize TM latency. The profile
sets the total time to wait for a TM before switchover to next available TM
– Set Sleep time on Transaction Managers to 30 minutes. this avoids constant polls to check for
shutdown requests.
20

Dual File System
21
Synchronization managed
by patching tools
Edition-Based Redefinition
Non-Editioned File System
Developer 10.1.2
COMMON_TOP
APPL_TOP
INST_TOP
Oracle HTTP Server (OHS)
WebLogic Server (WLS)
File System 1
Developer 10.1.2
COMMON_TOP
APPL_TOP
INST_TOP
Oracle HTTP Server (OHS)
WebLogic Server (WLS)
File System 2
PATCH_TOP
APPL_TOP_NE
LOGS
More information in the Online
Patching FAQ (Note 1583902.1)
Optimize Online Patching Process

Optimize Online Patching Process
• Ensure the underlying file IO subsystem is configured properly :
– Double check the NFS parameters as per (MOS ID 1375769.1) and verify if any further tuning can
be applied. Mainly the read and write sizes should be set to at least 64KB
• Manage online patching load on the system:
– Make sure that the number of online patching processes is set properly based on the system
activity and number of available CPU cores
• Control the number of editions:
– As each online patching cycle is completed, the database will accumulate an additional old
database edition. If the number of these grows too large, system performance will start to be
affected.
– When the number of old database editions reaches 20 or more, you should consider dropping all
old database editions by running the adop actualize_all phase and then performing a full
cleanup
22

Network, WAN, and PC Performance Tuning recorded presentation
https://blogs.oracle.com/stevenChan/entry/e_business_suite_technology_learning
Concepts Manual: Oracle E-Business Suite works
very well with average latencies up to 300ms,
and is usually found to give acceptable
performance with latencies up to 500ms.
Optimize for Network Latencies

Performance Charts for a Range of Latencies and Bandwidths
• As seen in the chart, network latency has a visible impact on forms response times.
• Reducing forms network traffic by following the guidelines in this presentation will considerably
improve forms performance under latency constrains.

• MOS ID 556738.1 - Network Test Utilities Best Practices: Explains how the Network Test form
works and how you interpret the output.
• Also explains how to use this with the standard ping command to determine whether you have: a
network latency issue, network congestion problem or a problem with the Applications Tier

Riverbed Compression Report
• MOS ID 967992.1 Symmetrical Network Acceleration with Oracle E-Business Suite R12
• Symmetric Network Acceleration – already in use within several companies. If you have some form
of compression, then use uncompressed concurrent report formats, otherwise, if bandwidth is a
premium – especially over satellites, then consider using PDF output rather than HTML or Excel.

Optimizing E-Business Suite Database Tier
27

Optimize Database
• Tune init.ora Parameters:
– Ensure mandatory init.ora parameters are set correctly.
MOS ID 396009.1 & 216205.1 (R12 & 11i respectively)
(MOS now has a HOT TOPICS feature to be alerted when favorite notes have been updated)
• Apply Required Patches & Fixes/Workarounds for Known Issues
– Recommended Performance Patches - MOS ID 244040.1
– Required Patching – Interoperability Notes
• Size SGA and PGA memory for maximum projected concurrency levels, buffer cache and shared pool sizing
specially critical
• Use Large/Huge pages. For example on Linux Huge Pages – See MOS ID 744769.1
– Only SGA allocation benefits from large/huge pages, PGA allocation does not
– Set the parameter USE_LARGE_PAGES=’only’ for each instance so that the instance will only start if
sufficient Huge Pages are available See MOS ID 1392497.1
28

Optimize Disk I/O
• Ensure kernel asynchronous I/O is enabled and supported for the underlying file system
(if file systems are being used for the DB files)
• Configure & verify direct I/O is used (if file systems are being used for the DB files)
– Improves performance/scalability by simulating raw devices, avoiding file system cache traffic
• Ensure your I/O subsystem can handle your peak I/O load & IOPS
– Consider RAID, S.A.M.E. configuration with sufficient spindles
– Measure with ORION tool or in 11g
DBMS_RESOURCE_MANAGER.CALIBRATE_IO – MOS ID 727062.1
• Reduce the I/O workload
– Tune expensive SQL
– Trim the workload of unnecessary tasks
– Do 3X less I/O on average with 11g Advanced Compression Option
29

Optimize Backend Code Execution Path
• Use PL/SQL Native Compilation
• Pin top Apps PL/SQL packages by executions to help avoid shared pool fragmentation and reloads
• Check for cursor leaks and SQL statements using literals with large execution counts. Cursor
leaks/literals can result in ORA-4031 errors
• Tune cache sizes for hot sequences where possible (e.g. 1,000 or higher) in order to minimize index key
contention for the Apps surrogate keys
• Make sure to use FND_STATS to gather statistics
30

Gather Applications Statistics
• Statistics gathering strategy should not be based on time
• It should always be based on rate of change in the data and is an iterative process
• Disable the 11g automatic job to gather stats
• Do not gather statistics excessively on entire schemas or the entire database such as
nightly or weekly
• Do not gather statistics on Global Temporary Tables
• Avoid gathering statistics during peak hours
• Gather statistics after large data load and when mix/max values have changed
31

• New note MOS ID 1586374.1 for "Best Practices for Gathering Statistics with Oracle E-Business
Suite"
• Use only FND_STATS or the Gather Schema / Table Statistics Concurrent Programs
– Do NOT USE the analyze or dbms_stats command directly. It is not supported, and can result
in sub-optimal plans.
– When Gather Schema Statistics concurrent program is used fnd_stats does the bookkeeping
for the run.
• FND_STATS supports column histograms.
– Histograms can be seeded by calling to fnd_stats.load_histogram_cols.
• Use the GATHER_AUTO option to gather incrementally. This will re-analyze objects which
currently have no statistics and objects with stale statistics
32

• Analyze all schemas at 10%, then for some specific objects use higher sampling x%
– Due to data skew, some tables benefit from higher sampling %
– From11g, can use value of zero (AUTO_SAMPLE_SIZE)
• Do not invalidate cursors
– While submitting concurrent request to gather statistics set “Invalidate Dependent Cursors”
parameter to No.
• Consider locking statistics for very volatile tables once a representative set is gathered.
– For example, interface tables, ap_selected_invoices, wsh_pr_workers etc.
– These intermediate tables are used in batch processes.
– Use FND_STATS.LOAD_XCLUD_TAB to skip tables as needed.
33

Gather Dictionary Stats
• Gather dictionary object statistics when there is a significant change in dictionary, for
example, lot of new objects created (upgrade, major patching)
exec dbms_stats.gather_dictionary_stats;
• Dictionary Statistics should be gathered:
– After any associated platform or DB upgrade that is part of the overall Oracle E-
Business Suite upgrade
– After the Release 12 upgrade
– After moving to OATM
34

Gather Fixed Stats
• Gather fixed object statistics with reasonable load on the system
exec dbms_stats.gather_fixed_objects_stats
• Fixed Object Statistics should be gathered:
– After any associated platform or database upgrade that is part of the overall
Oracle E-Business Suite upgrade
– After init.ora parameters have changed
– Fixed stats should be collected when there is representative activity on the system.
• Dictionary and Fixed stats should be gathered manually as they are not gathered
automatically in the Release 12 upgrade by adstats.sql or any other method.
35

36

Verify Optimal HW/DB Configurations
• Interconnect– a Private; GigE or Infiniband
• Network Configuration– Use Jumbo frames for the interconnect
– ifconfig <adapter> mtu 9000
– Recommendation for the Real Application Cluster Interconnect and Jumbo Frames (MOS ID 341788.1)
• Make sure that the I/O subsystem sized for performance, not just storage; write optimized
• Increase the buffer Cache by at least 10%
– Top 5 Database and/or Instance Performance Issues in RAC Environment (MOS ID 1373500.1)
– RAC and Oracle Clusterware Best Practices and Starter Kit (Platform Independent) (MOS ID 810394.1)
• Use Parallel Query Instance Affinity (Set PX affinity local to each node)
– From 11gR2 - PARALLEL_FORCE_LOCAL =TRUE
37

Utilize Instance Affinity and PCP
• Follow recommendation in EBS RAC conversion MOS documents for patch and parameter
information
– Configuring and Managing Oracle E-Business Suite Release 12.2.x Forms and Concurrent Processing
for Oracle RAC (MOS ID 2029173.1)
– Configuring and Managing Oracle E-Business Suite Release 12.1.x Application Tiers for Oracle RAC
(MOS ID 1311528.1)
• Use Affinity: Direct some workload components to specific RAC nodes to maximize scalability by
minimizing inter-node communication and synchronization work
• Utilize Parallel Concurrent Processing (PCP) to leverage the Cluster (RAC).
• Starting from 12.1, you can define node affinity at the program level (MOS ID 1129203.1)
38

Utilize Instance Affinity and PCP
• PCP: Maintain 1 – 1 correspondence of CM nodes to RAC nodes
– Set <s_cp_twotask> per CM node to tie to a specific RAC instance.
– Do not use a load balanced TNS entry for the value of s_cp_twotask. The request may hang if the
sessions are load balanced.
– Define primary/secondary CM nodes for Failover
• Extend Affinity to the Applications Tier (Forms)
– Set Profile Option "Database Instance" at App or Resp level which can be tied to two_task value or to
a service
• For 12.1.3, Extend Affinity to the Applications Tier (Self-service)
– Set Profile Options “App%Agent” to web tier hosts configured for specific services …or
– Set Profile Option "Applications Database ID" to node specific DBC file name
39

40

Instance consolidation
Global expansion
Reduced total cost of ownership
99%
Increased competitiveness
Execute business solutions faster
Improved productivity
Simplified deployments
Rapid deployments across
enterprise
Reduce data center footprint
Uninterrupted mission critical
business processes
Reduced business disruptions
Reduced failure risk
41
Globalization Performance
Lifecycle Support
Why EBS on Exalogic and Exadata – Business Value

IT Infrastructure reduced
All Applications, FMW, DB run on
a single platform
Easily support large
implementations
99%
Online response time faster
Batch processing faster
Ability to scale with ease
Faster backups / clones
Reduced patching downtime
OVM template deployment
Platinum services
Fewer variations
Fully redundant hardware
42
Globalization Performance
Lifecycle Support
Why EBS on Exalogic and Exadata – Technical Benefits

Performance and Scalability
• Oracle E-Business Suite Characteristics:
– Workloads are CPU intensive
– Requires large SGA and PGA due to high concurrency online workloads
– Requires high I/O and low latency for data intensive batch processing
• Benefits of deploying Oracle E-Business Suite on Engineered Systems:
– Up to 3X performance improvements in batch processing
– Up to 8X performance improvements in responsiveness to end user
– Large memory capacity of Engineered Systems
– Dramatically faster backups, cloning and other routine operation tasks
– Improved scalability allows adding more users and higher transaction volumes

Consolidation | Exadata
• With higher performance and throughput and smaller footprint, it becomes possible to reduce
the number of instances by aggregating more applications and databases
• Resource Manager can help database consolidation in two ways.
– Control CPU usage and manage CPU contention through instance caging
– Control disk I/O usage and contention through IORM’s inter-database resource plans
Configuring and Monitoring Instance Caging (MOS ID 1362445.1)
Master Note for Oracle Database Resource Manager (MOS ID 1339769.1)

Consolidation | ExaLogic
• Mission-critical server virtualization offers a whole new level of consolidation where multiple
virtual machines are sharing a single physical server in order to maximize the utilization of server
hardware, while minimizing associated costs
• Exalogic has been engineered to leverage a technique known as Single-Root I/O Virtualization to
eliminate virtualization overhead and deliver the maximum performance and scalability
Oracle E-Business Suite Release 12.1.3 Database Tier and Application Tier Templates for Oracle Exalogic (MOS ID 1499132.1)
Oracle VM Templates for Oracle E-Business Suite for Exalogic Deployment Guide, Release 12.2.3 (MOS ID 1633952.1)

Instantiate
vServers in
Exalogic
12.2.3
DB
12.2.3
APP
Oracle VM on Exalogic
Oracle VM Server Pool
E-Business Suite VM Templates for Exalogic
Download from Oracle E-Delivery
• Pre-built, pre-configured Exalogic VM
Templates for E-Business Suite
• 12.1.3 and 12.2.3
• MOS Docs 1499132.1 & 1633952.1
Import into
EM Ops
Center
EBS
Exalogic
VM
Templates
VM
Customize &
Save VMs
as Gold
Images
Save days / weeks in installation and configuration time
12.1.3
DB
12.1.3
APP
1
2
3
4VM

Maximum Availability
• Best practices for deploying Oracle E-Business Suite on Exadata Database Machine for maximum
availability and disaster recovery have been documented and validated by the Applications
MAA/Exadata team
• Configure EBS using our MAA best practices (MOS ID 986690.1)
– Load balanced web and forms servers
– Parallel concurrent processing
– Oracle RAC and Oracle Data Guard
• Oracle Maximum Availability Architecture - MAA
http://www.oracle.com/goto/maa
http://www.oracle.com/technetwork/database/availability/ebs-maa-2158952.pdf

EBS Performance Analysis
Exalogic Hardware Management
Exalogic Software Management
• Manage from EBS though to the OS,
Virtualization, and underlying Exalogic in single
console
– Manage EBS and Exalogic availability and
health with Dashboards
– Deploy Exalogic OVM templates for EBS and
scale up and scale down
– Discovery and organization of all EBS targets
(Forms and CP Servers, APPL_TOP, etc)
– Maximize productivity with Change
Management Tools for CEMLIs and patches
– Advanced configuration comparison over time
or between instances
– Advanced performance analysis and SLA
compliance with RUEI
– Exalogic Monitoring, Metric Thresholding and
Alerting
– Automatic Exalogic Fault Detection and Service
Request Creation
EBS Monitoring and Management on Exalogic

Exalogic and Exadata for R12.1.3
E-Business Suite
HR Self Service / Procurement
8x better Response Time
2x better Scalability
Response Time
8X
11.94 s
1.42 s
E-Business Suite
Order to Cash
3x better Response Time
2x better Scalability
Response Time
2.23 s
0.74 s
• Faster Response:
– 3x For O2C Forms transactions
– 8x For Self Service transactions
– Higher productivity for online users
• Users per core:
– Twice as many users per core
– Headroom for additional loads
• Higher throughput
– Push more transactions through a single Exa
core
• Linear Scaling
– Support very large deployments with ease
Standard hardware Exalogic and Exadata
3X

Exalogic and Exadata for R12.1.3

Exalogic and Exadata for E-Business 12.2.x
• Oracle Fusion Middleware 11g included
• WebLogic Server replaces OC4J
• WebLogic Server and Exalogic
– Native support for huge pages allowing faster memory access
– More robust connection harvesting while optimizing resource and connection pool usage on
the middle tier with huge savings on PGA memory requirements on the database for high
concurrency levels
• E-Business Suite OVM templates for Exalogic

Exalogic and Exadata for 12.2.x
Excellent scalability and response times were achieved based on the results of our internal benchmarks up to
5000 self service users in full concurrency with 20 managed instances.

Excellent scalability and response times were achieved based on the results of our internal benchmarks up to
4000 forms users in full concurrency with 20 managed forms instances (servlet mode).

Additional Application Tier Recommendations:
• It is recommended to have OHS state files as well as the shared memory file on local disk rather than an
NFS mount point
• When using ExaLogic with ZFS Storage Appliance, “Hot Files” can easily be found using the available
Advanced Analytics. (MOS ID 1472716.1)
• Disable the EBS data source parameter “Oracle Enable JavaNet Fastpath”, which reduces JDBC data
source connection pool exhaustion & stuck threads
• Enable the EBS data source parameter “Oracle Optimize UTF8 Conversion”, which reduces excessive
and sporadic JDBC connections
• Set EBS Profile Options AuditTrail Activate to No and Sign-On: Audit Level to None

Additional Database Recommendations:
• Ensure the Infiniband MTU is set to 64k
• Adjust the result cache setting on the database to a higher value (600MB for 4000 users) to reduce latch
free events
• Carefully review ETCC compliance checker and apply required patches, as per the following MOS Notes:
– (MOS ID 1623879.1) - Interoperability Notes Oracle E-Business Suite Release 12.2 with Oracle
Database 11g Release 2 (11.2.0)
– (MOS ID 1594274.1) - Oracle E-Business Suite Release 12.2: Consolidated List of Patches and
Technology Bug Fixes
– (MOS ID 1392527.1 ) - Database Patches Required by Oracle E-Business Suite on Oracle Engineered
Systems: Exadata Database Machines and SuperClusters

56

Overview
• ORACLE Database 12.1.0.2 introduced a new feature “Database In-Memory”
• Allows you to store columns, tables, partitions and materialized views in memory using a
columnar format, rather than the typical row format thereby improving performance when
scanning and/or processing large numbers of rows
• This feature results in a “Dual-format” approach, which maintains data in both the classic
Oracle row format, and a new in-memory column format optimized for analytical
processing
• Both formats are simultaneously active and transactionally consistent. The Oracle database
automatically uses the new in-memory column format for analytic queries and the existing
row format for OLTP operations
57

• BOTH row and column formats for
same table
• Simultaneously active and
transactionally consistent
• Analytics & reporting are best
candidates to use new in-memory
column format.
• OLTP transactional flow uses proven row
format.
Memory Memory
SALES SALES
Row
Format
Column
Format
58
Overview

Memory Configuration: Increase SGA for In-Memory Area

Candidate Entities: Identify Candidate Query/Tables for the In-Memory Load
 Run flows with SQL Trace, Generate and review AWRs, ASH reports, identify queries that perform
full table scans and find hot table segments
 Identify large processes, specifically reports and processes that access very large amounts of data
that would benefit from using a columnar format. Typically these will be month/period end batch
jobs or long running reports. For example, Financial Statement Generator reports or FA/GL roll-
up reports
 SQLs with full table access path (or wide index range scans) with high block reads would benefit
the most from In-Memory access.
 Indexes that are used as part of the transactional context should not be dropped, as these
indexes are crucial for the performance of OLTP online flows
 Oracle In-Memory Advisor (MOS ID 1965343.1) is also available to identify candidates for In-
Memory

When to Use Database In-Memory:
The following types of operations benefit most with the In-Memory columnar format:
• Queries that scan many rows but only references or accesses a small subset of columns
from a table, partition, or materialized view.
• Aggregation based queries that use arithmetic functions such as sum, mean or average.
• Grouping based queries that processes data in groups such as 'sales per calendar month',
use buckets, or involves very large tree-walks.
• Delete and update statements that are in turn based on sub-queries that perform full table
scans of large tables.

Program Name Description In-Memory Objects Baseline Run In-Memory
Run
Order Organizer Form Searching of Orders based on user
entered criteria
OE_ORDER_LINES_ALL
OE_ORDER_HEADERS_ALL
195 Secs 18 Secs
Initialize Credit
Summaries
Credit checking in Oracle Quoting
allows the user to determine the
credit worthiness of a customer
while working on a quote.
OE_ORDER_HEADERS_ALL
HZ_CUST_ACCOUNTS
OE_ORDER_LINES_ALL
HZ_CUST_ACCT_SITES_ALL
OE_PRICE_ADJUSTMENTS
HZ_CUST_SITE_USES_ALL
OE_PAYMENTS
RA_INTERFACE_LINES_ALL
OE_PAYMENT_TYPES_ALL
51 Mins 13 Mins
Receiving Transaction
Processor
RCVTP processes pending or
unprocessed receiving transactions
RCV_HEADERS_INTERFACE
RCV_TRANSACTIONS_INTERFACE
10.2 Hours 2.6 Hours
Database In-Memory Sample Results :
• New published whitepaper (MOS ID 2025309.1): Using Oracle Database In-Memory with Oracle E-
Business Suite

• Significant performance gains with Oracle 12c
Database In-Memory option
• Achieved 145x faster performance with 12c
Database In-Memory option on commodity
hardware
• Achieved over 1003x faster performance with 12c
Database In-Memory option on Exadata X4-2
63
Database In-Memory: In-Memory Cost Management
From 58hrs to 3mins 27sec
23mins 56sec
3mins 27sec
EBS Cost Rollup
without 12C
In-memory option
With 12c
In-memory option
Commodity HW
With 12c
In-memory option
Exadata X4-2Time(minutes)
10
20
30
40
50
3470
3460
3450
3440
3430
58 hours (3460 mins)

64

Low
Volume
High
Volume
Activity
DataVolume
Active
Less
Active
0 1 1 5 10
Months Years
FACT: More than 80% of data is inactive
 From Day 0 data starts to grow
 Data comes from many sources such as
– Transactional e.g. Oracle Payables
– Transient data (e.g. login, concurrent
requests etc..)
– Reference/Seed data e.g. lookup codes
 Is all this data needed or required to be
available online?
What Do We Know About Data
65

Optimal Data Management
 Reduced hardware cost
 Reduced backup time
 Reduced upgrade time and associated
downtime
 Increased Transactions Per Second (TPS)
 Improved operating performance
 Reduced Total Cost of Ownership (TCO)
Available Oracle Solutions
 Data Growth Control Methods
 Archive/Purge Functionality within
E-Business Suite
 Data Management Methods
 Database Partitioning
 Database Compression
 Information Lifecycle Management (ILM)
 These methods can be used together
Data Management
66

E-Business Suite: Archiving & Purging
• Where possible try to utilize the standard Oracle supplied
programs
– Purge/Archive programs provided at the module level in the E-Business
Suite
– Many documented standard programs available (260 purge and archive
programs in R12)
• Purge Portal
– Purge Portal introduced in 11i10
– Single purge/archive management console
– Purge programs can be configured, initiated and monitored
– Set the execution frequency as well as view history of purge programs
• Accessing the Purge Portal
– System Administration > Oracle Applications Manager >Purging/Critical Activities
67

• E-Business Suite provides Purge/Archive solutions for the key transactional entities
• The native E-Business Suite purge and archive programs are synchronized with the data model
– Oracle’s solution considers cross-product dependencies
– Example: We can’t simply delete data in Oracle Payables
• Archive/Purge Product Information
 Product User guides – GL/AP/AR/FA/OM
 Support Notes:
 (MOS ID 138264.1) – General Ledger Archive/Purge FAQ
 (MOD ID 144431.1) – Fixed Assets Archive/Purge FAQ
 (MOS ID 136919.1) – General Ledger Archive/Purge Setup and Usage
 (MOS ID 752322.1) : Reducing Your Oracle E-Business Suite Data Footprint using Archiving, Purging, and ILM
68
Payables
Human
Resources
Alert
General
Ledger
Workflow
iExpense

E-Business Suite: Examples: Purge Programs
69
Purge Debug Log FNDLGPRG
Purge Cost Information CSTCSPCT
Purge Signon Audit data FNDSCPRG
Payables Open Interface Purge APXIIPRG
Purge Invoice Extract Output Table RAXINVPG
Catalog Data Purge POXCDXPG
Purge Concurrent Request/Manager Data FNDCPPUR
Purge System Saved Requisition POXSSPG
Purge Interface Tables PNVPURGE
Purge Obsolete Workflow Runtime Data FNDWFPR
BEE Batch Process (Purge) PAYLINK(PURGE)
Delete/Purge Timecards (OTL) DELPURTC
Purge Debug Log FNDLGPRG
Purge Cost Information CSTCSPCT
Purge Signon Audit data FNDSCPRG
Payables Open Interface Purge APXIIPRG

E-Business Suite: Partitioning
• When?
– Many times it will be an implementation decision driven by huge data volume
– Can be physical data model decision to improve performance
• Situations where partitioning can help
– Large deletes could become simple truncates of a partition
– Re-population/refreshing of large portions of data could become a “partition exchange” operation
– Very large tables & their indexes can be split into smaller segments, reducing I/O
• Partition Key
– Should be a key that most statements will have in the WHERE clause to reap the benefits of
partition pruning & elimination as well as index I/O (local index)
– Data should not change often to avoid row-movement between partitions
70

E-Business Suite: Partitioning
• E-Business Suite Release 12 is certified with the Oracle Database 11g Partitioning Option
• (MOS ID 554539.1) – Database Partitioning for Oracle E-Business Suite
• The Oracle E-Business Suite uses partitioning out-of-the-box with few modules:
– 200+ tables
– Tables have a natural and logical partition key
– Majority of the runtime access path (of the standard product) is based on this natural
partition key
– Changing out of the out of the box partitioned tables is not supported.
• Many E-Business Suite tables do not have a natural partitioning key which would apply to all
customers
– Based on your own requirements, customers are free to partition the tables in a logical
manner
71

• This is a batch queue table. When a user requests a batch job, Oracle inserts a row into the queue. The
Concurrent Managers are processes that periodically query the queue, pick up requests to be run, and
update the requests' statuses
• To reduce Real Application Clusters overhead, partition the FND_CONCURRENT_REQUESTS based on
the APPLICATION_ID column. Performance gains will be more visible with higher throughput
72
FND_CONCURRENT_REQUESTS table partitioning

73
Application Data Purge/Archive and Custom Partition

E-Business Suite: Advanced Compression (ACO)
• Advanced Compression (ACO) option is an ideal choice for saving space with read-intensive
operations and can reduce the associated Disk I/O. ACO reduces storage requirement by 2-4 times
• In our benchmarks, online workload showed up to 30% improvement with up to 6% increase in CPU
consumption
• As for the batch programs, Order-to-Cash batch runtime increased by only 0.43%, while payroll
process runtime reduced by 17% with additional 3.7% CPU usage
Oracle E-Business Suite Release 12.1 with Oracle Database 11g Advanced Compression [MOS ID 1110648.1]
74

E-Business Suite Technology Stack Blog
• Direct from EBS Development
• Latest news
• Certification announcements
• Primers, FAQs, tips
• Desupport reminders
• Latest upgrade recommendations
• Statements of Direction
• Subscribe by email or RSS
blogs.oracle.com/stevenchan
75

E-Business Suite: System Management
Join us on Facebook
facebook.com/groups/EBS.SysAdmin
76

Preview the Learning Stream
NOW!
education.oracle.com/streams/ebusinesssuite
Oracle E-Business Suite Learning Stream
Keep Your Skills Current through Continuous Learning
Oracle Confidential – Internal/Restricted/Highly Restricted 77
Expert Delivered
Access to 300+ instructional videos delivered by Oracle
subject matter experts
Training Across the Entire E-Business Suite
For professionals of all experience levels looking to
regularly broaden and deepen their knowledge
Continuously Refreshed Content
Covers technical and functional aspects of Oracle E-
Business Suite solutions
Request Topics that Interest You
Subscription Service

Questions and Answers

Additional Resources
79

Diagnostic Data Collection
Start with MOS ID 1121043.1 for How-to & Best Practices
• SQL Tuning
• Trace files
• SQLT output (MOS ID: 215187.1)
• Trace Analyzer (MOS ID: 224270.1)
• AWR Report (MOS ID: 748642.1)
• 11g SQL Monitor Report
• AWR SQL Report (awrsqrpt.sql)
• PL/SQL Tuning
• Product logs
• PL/SQL Profiler (MOS ID: 808005.1)
• Reports Tracing (MOS ID: 111311.1)
• Database Tuning
• AWR Report (MOS ID: 748642.1)
• ADDM report (MOS ID: 250655.1)
• Active Session History (ASH)
• Forms Tuning
• Forms Tracing (MOS ID: 373548.1)
• FRD Log (MOS ID: 445166.1)
• Generic note (MOS ID: 438652.1)
• Middle tier Tuning
• JVM Logs
• JVM Sizing/Tuning (MOS ID: 362851.1,278868.1)
• OS - OSWatcher (MOS ID: 301137.1)
• Network Test Utilities Best Practices (MOS ID: 556738.1)
80

• 1121043.1 Collecting Diagnostic Data for Performance Issues in Oracle E-Business Suite
• 1362660.1 Enhanced Performance Diagnostics for Oracle E-Business Suite Release 12.1.3
• 301137.1 OSW Document
• 461053.1 OSWg Document
• 215187.1 SQLTXPLAIN (SQLT)
• 224270.1 Trace Analyzer (TRCA)
• 39817.1 Interpreting Raw SQL_TRACE files
• 280391.1 How to Retrieve SID Information For a Running Request
81

Tuning the Concurrent Manager
• 1359612.1 Webcast 'E-Business Suite - RAC & Parallel Concurrent Processing
• 1367676.1 Webcast 'E-Business Suite - Concurrent Manager Performance
• 164085.1 Enhancing and Automating Oracle Applications Concurrent Processing
• 1057802.1 Best Practices for Performance for Concurrent Managers
• 1304305.1 E-Business Concurrent Processing Information Center
• 2029173.1 Configuring and Managing Oracle E-Business Suite Release 12.2.x Forms and Concurrent Processing for
Oracle RAC
• 1311528.1 Configuring and Managing Oracle E-Business Suite Release 12.1.x Application Tiers for Oracle RAC
82

EBS Upgrade and Platform Migration
• Best Practices for Minimizing Oracle E-Business Suite Release 12 Upgrade Downtime (MOS ID 1581549.1)
• Express Diagnosis of Oracle E-Business Suite Release 12 Upgrade Performance Issues (MOS ID 1583752.1)
• R12.1 documentation roadmap (MOS ID 790942.1)
• Oracle E-Business Suite Release 12.1 Info center (MOS ID 806593.1)
• Database preparation guidelines for R12.1 upgrade (MOS ID 761570.1)
• Patching FAQs (MOS ID 459156.1, 225165.1)
• Staged or shared APPL_TOP and distributed AD (MOS ID 734025.1, 384248.1, 236469.1)
• OAM “Patch Wizard” overview and FAQ (MOS ID 976188.1, 976688.1)
• AD Command Line Options for Release R12 (MOS ID 1078973.1)
• Recommended Performance Fixes (MOS ID 244040.1)
• R12 Upgrade Sizing & Best Practices (MOS ID 399362.1)
• Oracle Applications Tablespace Model (OATM) Release 11i - Tablespace Migration Utility (MOS ID 248857.1)
83

EBS Upgrade and Platform Migration
• EBS R12.1 Upgrade related Reports
– EBS 12.1.3 Data Model Comparison Report (MOS ID 1290886.1)
– EBS ATG Seed Data Comparison Report (MOS ID 1327399.1)
– EBS File Comparison Report (MOS ID 1446430.1)
– EBS pre-install patches Report (MOS ID 1448102.1)
• White papers
– Planning Your Oracle E-Business Suite Upgrade from Release 11i to Release 12.1 (MOS ID 987516.1)
– R12 Upgrade considerations by product: Financials (MOS ID 889733.1)
– Oracle E-Business Suite Upgrades and Platform Migration (MOS ID 1377213.1)
– Oracle E-Business Suite Release 12.2 Information Center - Upgrade (MOS ID 1583158.1)
– Script to Diagnose adop and Other AD-TXK Issues in Oracle E-Business Suite Release 12.2 (MOS ID 1901242.1)
84

• Archive/Purge Product Information
– Product User guides – GL/AP/AR/FA/OM
– Support Notes:
• (MOS ID 138264.1) – General Ledger Archive/Purge FAQ
• (MOD ID 144431.1) – Fixed Assets Archive/Purge FAQ
• (MOS ID 136919.1) – General Ledger Archive/Purge Setup and Usage
• (MOS ID 752322.1): Reducing Oracle E-Business Suite Data Footprint
• E-Business Suite: Technology Learning
https://blogs.oracle.com/stevenChan/entry/e_business_suite_technology_learning
85

Oracle Database In-Memory with Oracle E-Business Suite
• (MOS ID 2025309.1): Using Oracle Database In-Memory with Oracle E-Business Suite
• Oracle Database In-Memory White Paper on Oracle Database In-Memory
http://www.oracle.com/technetwork/database/in-memory/overview/twp-oracle-database-in-memory-2245633.html
• Oracle Optimizer blog: https://blogs.oracle.com/In-Memory/
• Oracle Database In-Memory on RAC - Part I: This article starts with background information on how the IM column stores are populated
on Oracle RAC and then discusses how to manage parallelization.
https://blogs.oracle.com/In-Memory/entry/oracle_database_in_memory_on
• Oracle Database In-Memory on RAC - Part 2: This article explains how Oracle RAC services can be used to control how data is populated.
https://blogs.oracle.com/In-Memory/entry/oracle_database_in_memory_on1
• Oracle Database In-Memory on RAC - Part 3: This article reviews the DUPLICATE and DUPLICATE ALL sub-clauses.
https://blogs.oracle.com/In-Memory/entry/oracle_database_in_memory_on2
• The Oracle Database In-Memory Advisor (MOS ID 1965343.1)
• Oracle Database In-Memory Advisor Best Practices white paper:
http://www.oracle.com/technetwork/database/manageability/info/twp-in-memory-advisor-bp-2430474.pdf
86

OOW15 - Getting Optimal Performance from Oracle E-Business Suite

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