Contents

Title and Copyright Information

Preface

• Documentation Accessibility
• Conventions

1 Introduction and Roadmap

• Document Scope and Audience
• Guide to this Document
• Performance Features of this Release

2 Top Tuning Recommendations for WebLogic Server

• Tune Pool Sizes
• Use the Prepared Statement Cache
• Use Logging Last Resource Optimization
• Tune Connection Backlog Buffering
• Tune the Chunk Size
• Use Optimistic or Read-only Concurrency
• Use Local Interfaces
• Use eager-relationship-caching
• Tune HTTP Sessions
• Tune Messaging Applications

3 Performance Tuning Roadmap

• Performance Tuning Roadmap
  • Understand Your Performance Objectives
  • Measure Your Performance Metrics
  • Monitor Disk and CPU Utilization
  • Monitor Data Transfers Across the Network
  • Locate Bottlenecks in Your System
  • Minimize Impact of Bottlenecks
  • Tune Your Application
  • Tune your DB
  • Tune WebLogic Server Performance Parameters
  • Tune Your JVM
  • Tune the Operating System
  • Achieve Performance Objectives
• Tuning Tips

4 Operating System Tuning

5 Tuning Java Virtual Machines (JVMs)

• JVM Tuning Considerations
• Which JVM for Your System?
  • Changing To a Different JVM
• Garbage Collection
  • VM Heap Size and Garbage Collection
  • Choosing a Garbage Collection Scheme
  • Using Verbose Garbage Collection to Determine Heap Size
  • Specifying Heap Size Values
  • Tuning Tips for Heap Sizes
  • JRockit JVM Heap Size Options
    • Other JRockit VM Options
  • Java HotSpot VM Heap Size Options
    • Other Java HotSpot VM Options
  • Automatically Logging Low Memory Conditions
  • Manually Requesting Garbage Collection
  • Requesting Thread Stacks
• Enable Spinning for IA32 Platforms
  • Sun JDK
  • JRockit
• Increasing Java Heap Size for Managed Servers
  • Using the Administration Console to Set Java Heap Size
  • Modify the startManagedWebLogic Script to Set Java Heap Size
  • Using the Command Line to Set Java Heap Size
  • Determining the Memory Values Used by a Managed Server

6 Tuning WebLogic Diagnostic Framework and JRockit Flight Recorder Integration

• Using JRockit Flight Recorder
• Using WLDF
  • Using JRockit controls outside of WLDF to control the default JVM recording
• Tuning Considerations

7 Tuning WebLogic Server

• Setting Java Parameters for Starting WebLogic Server
• Development vs. Production Mode Default Tuning Values
• Deployment
  • On-demand Deployment of Internal Applications
  • Use FastSwap Deployment to Minimize Redeployment Time
  • Generic Overrides
• Thread Management
  • Tuning a Work Manager
  • How Many Work Managers are Needed?
  • What are the SLA Requirements for Each Work Manager?
  • Tuning Execute Queues
  • Understanding the Differences Between Work Managers and Execute Queues
  • Migrating from Previous Releases
  • Tuning the Stuck Thread Detection Behavior
• Tuning Network I/O
  • Tuning Muxers
    • Java Muxer
    • Native Muxers
    • Non-Blocking IO Muxer
  • Which Platforms Have Performance Packs?
  • Enabling Performance Packs
  • Changing the Number of Available Socket Readers
  • Network Channels
  • Reducing the Potential for Denial of Service Attacks
    • Tuning Message Size
    • Tuning Complete Message Timeout
    • Tuning Number of File Descriptors
  • Tune the Chunk Parameters
  • Tuning Connection Backlog Buffering
  • Tuning Cached Connections
• Setting Your Compiler Options
  • Compiling EJB Classes
  • Setting JSP Compiler Options
    • Precompile JSPs
    • Optimize Java Expressions
• Using WebLogic Server Clusters to Improve Performance
  • Scalability and High Availability
  • How to Ensure Scalability for WebLogic Clusters
  • Database Bottlenecks
  • Session Replication
  • Asynchronous HTTP Session Replication
    • Asynchronous HTTP Session Replication using a Secondary Server
    • Asynchronous HTTP Session Replication using a Database
  • Invalidation of Entity EJBs
  • Invalidation of HTTP sessions
  • JNDI Binding, Unbinding and Rebinding
  • Running Multiple Server Instances on Multi-Core Machines
• Monitoring a WebLogic Server Domain
  • Using the Administration Console to Monitor WebLogic Server
  • Using the WebLogic Diagnostic Framework
  • Using JMX to Monitor WebLogic Server
  • Using WLST to Monitor WebLogic Server
  • Resources to Monitor WebLogic Server
  • Third-Party Tools to Monitor WebLogic Server
• Tuning Class and Resource Loading
  • Filtering Loader Mechanism
  • Class Caching
• Server Migration with Database Leasing on RAC Clusters

8 Tuning WebLogic Server for Exalogic Environments

• Enable Exalogic Optimizations
• Enable Concurrent Queue for Pending Requests
• Enable NIOSharedWorkSocketMuxer
• Enable Gathered Writes

9 Tuning the WebLogic Persistent Store

• Overview of Persistent Stores
  • Using the Default Persistent Store
  • Using Custom File Stores and JDBC Stores
  • Using a JDBC TLOG Store
  • Using JMS Paging Stores
    • Using Flash Storage to Page JMS Messages
  • Using Diagnostic Stores
• Best Practices When Using Persistent Stores
• Tuning JDBC Stores
• Tuning File Stores
  • Basic Tuning Information
  • Tuning a File Store Direct-Write-With-Cache Policy
    • Using Flash Storage to Increase Performance
    • Additional Considerations
  • Tuning the File Store Direct-Write Policy
  • Tuning the File Store Block Size
    • Setting the Block Size for a File Store
    • Determining the File Store Block Size
    • Determining the File System Block Size
    • Converting a Store with Pre-existing Files
• Using a Network File System
  • Configuring Synchronous Write Policies
  • Test Server Restart Behavior
  • Handling NFS Locking Errors
    • Solution 1 - Copying Data Files to Remove NFS Locks
    • Solution 2 - Disabling File Locks in WebLogic Server File Stores

10 DataBase Tuning

• General Suggestions
• Database-Specific Tuning
  • Oracle
  • Microsoft SQL Server
  • Sybase

11 Tuning WebLogic Server EJBs

• General EJB Tuning Tips
• Tuning EJB Caches
  • Tuning the Stateful Session Bean Cache
  • Tuning the Entity Bean Cache
    • Transaction-Level Caching
    • Caching between Transactions
    • Ready Bean Caching
  • Tuning the Query Cache
• Tuning EJB Pools
  • Tuning the Stateless Session Bean Pool
  • Tuning the MDB Pool
  • Tuning the Entity Bean Pool
• CMP Entity Bean Tuning
  • Use Eager Relationship Caching
    • Using Inner Joins
  • Use JDBC Batch Operations
  • Tuned Updates
  • Using Field Groups
  • include-updates
  • call-by-reference
  • Bean-level Pessimistic Locking
  • Concurrency Strategy
• Tuning In Response to Monitoring Statistics
  • Cache Miss Ratio
  • Lock Waiter Ratio
  • Lock Timeout Ratio
  • Pool Miss Ratio
  • Destroyed Bean Ratio
  • Pool Timeout Ratio
  • Transaction Rollback Ratio
  • Transaction Timeout Ratio
• Using the JDT Compiler

12 Tuning Message-Driven Beans

• Use Transaction Batching
• MDB Thread Management
  • Determining the Number of Concurrent MDBs
  • Selecting a Concurrency Strategy
  • Thread Utilization When Using WebLogic Destinations
  • Limitations for Multi-threaded Topic MDBs
• Best Practices for Configuring and Deploying MDBs Using Distributed Topics
• Using MDBs with Foreign Destinations
  • Concurrency for MDBs that Process Messages from Foreign Destinations
  • Thread Utilization for MDBs that Process Messages from Foreign Destinations
• Token-based Message Polling for Transactional MDBs Listening on Queues/Topics
• Compatibility for WLS 10.0 and Earlier-style Polling

13 Tuning Data Sources

• Tune the Number of Database Connections
• Waste Not
• Use Test Connections on Reserve with Care
• Cache Prepared and Callable Statements
• Using Pinned-To-Thread Property to Increase Performance
• Database Listener Timeout under Heavy Server Loads
• Disable Wrapping of Data Type Objects
• Advanced Configurations for Oracle Drivers and Databases
• Use Best Design Practices

14 Tuning Transactions

• Logging Last Resource Transaction Optimization
  • LLR Tuning Guidelines
• Read-only, One-Phase Commit Optimizations

15 Tuning WebLogic JMS

• JMS Performance & Tuning Check List
• Handling Large Message Backlogs
  • Improving Message Processing Performance
  • Controlling Message Production
    • Drawbacks to Controlling Message Production
• Cache and Re-use Client Resources
• Tuning Distributed Queues
• Tuning Topics
• Tuning for Large Messages
• Defining Quota
  • Quota Resources
  • Destination-Level Quota
  • JMS Server-Level Quota
• Blocking Senders During Quota Conditions
  • Defining a Send Timeout on Connection Factories
  • Specifying a Blocking Send Policy on JMS Servers
• Tuning MessageMaximum
  • Tuning MessageMaximum Limitations
• Setting Maximum Message Size for Network Protocols
• Compressing Messages
• Paging Out Messages To Free Up Memory
  • Specifying a Message Paging Directory
  • Tuning the Message Buffer Size Option
• Controlling the Flow of Messages on JMS Servers and Destinations
  • How Flow Control Works
  • Configuring Flow Control
  • Flow Control Thresholds
• Handling Expired Messages
  • Defining a Message Expiration Policy
  • Configuring an Expiration Policy on Topics
  • Configuring an Expiration Policy on Queues
  • Configuring an Expiration Policy on Templates
  • Defining an Expiration Logging Policy
  • Expiration Log Output Format
  • Tuning Active Message Expiration
  • Configuring a JMS Server to Actively Scan Destinations for Expired Messages
• Tuning Applications Using Unit-of-Order
  • Best Practices
  • Using UOO and Distributed Destinations
  • Migrating Old Applications to Use UOO
• Using One-Way Message Sends
  • Configure One-Way Sends On a Connection Factory
  • One-Way Send Support In a Cluster With a Single Destination
  • One-Way Send Support In a Cluster With Multiple Destinations
  • When One-Way Sends Are Not Supported
  • Different Client and Destination Hosts
  • XA Enabled On Client's Host Connection Factory
  • Higher QOS Detected
  • Destination Quota Exceeded
  • Change In Server Security Policy
  • Change In JMS Server or Destination Status
  • Looking Up Logical Distributed Destination Name
  • Hardware Failure
  • One-Way Send QOS Guidelines
• Tuning the Messaging Performance Preference Option
  • Messaging Performance Configuration Parameters
  • Compatibility With the Asynchronous Message Pipeline
• Client-side Thread Pools
• Best Practices for JMS .NET Client Applications

16 Tuning WebLogic JMS Store-and-Forward

• Best Practices
• Tuning Tips

17 Tuning WebLogic Message Bridge

• Best Practices
• Changing the Batch Size
• Changing the Batch Interval
• Changing the Quality of Service
• Using Multiple Bridge Instances
• Changing the Thread Pool Size
• Avoiding Durable Subscriptions
• Co-locating Bridges with Their Source or Target Destination
• Changing the Asynchronous Mode Enabled Attribute

18 Tuning Resource Adapters

• Classloading Optimizations for Resource Adapters
• Connection Optimizations
• Thread Management
• InteractionSpec Interface

19 Tuning Web Applications

• Best Practices
  • Disable Page Checks
  • Use Custom JSP Tags
  • Precompile JSPs
  • Disable Access Logging
  • Use HTML Template Compression
  • Use Service Level Agreements
  • Related Reading
• Session Management
  • Managing Session Persistence
  • Minimizing Sessions
  • Aggregating Session Data
• Pub-Sub Tuning Guidelines

20 Tuning Web Services

• Web Services Best Practices
• Tuning Web Service Reliable Messaging Agents
• Tuning Heavily Loaded Systems to Improve Web Service Performance
  • Setting the Work Manager Thread Pool Minimum Size Constraint
  • Setting the Buffering Sessions
  • Releasing Asynchronous Resources

21 Tuning WebLogic Tuxedo Connector

• Configuration Guidelines
• Best Practices

A Using the WebLogic 8.1 Thread Pool Model

• How to Enable the WebLogic 8.1 Thread Pool Model
• Tuning the Default Execute Queue
  • Should You Modify the Default Thread Count?
• Using Execute Queues to Control Thread Usage
  • Creating Execute Queues
  • Modifying the Thread Count
  • Tuning Execute Queues for Overflow Conditions
  • Assigning Servlets and JSPs to Execute Queues
  • Assigning EJBs and RMI Objects to Execute Queues
• Monitoring Execute Threads
• Allocating Execute Threads to Act as Socket Readers
  • Setting the Number of Socket Reader Threads For a Server Instance
  • Setting the Number of Socket Reader Threads on Client Machines
• Tuning the Stuck Thread Detection Behavior

B Capacity Planning

• Capacity Planning Factors
  • Programmatic and Web-based Clients
  • RMI and Server Traffic
  • SSL Connections and Performance
  • WebLogic Server Process Load
  • Database Server Capacity and User Storage Requirements
  • Concurrent Sessions
  • Network Load
  • Clustered Configurations
  • Server Migration
  • Application Design
• Assessing Your Application Performance Objectives
• Hardware Tuning
  • Benchmarks for Evaluating Performance
  • Supported Platforms
• Network Performance
  • Determining Network Bandwidth
• Related Information