Classloading Optimizations for Resource Adapters Connection Optimizations
17.1 Classloading Optimizations for Resource Adapters
You can package resource adapter classes in one or more JAR files, and then place the JAR files in the RAR file. These are called nested JARs. When you nest JAR files in the RAR file, and classes need to be loaded by the classloader, the JARs within the RAR file must be opened and closed and iterated through for each class that must be loaded. If there are very few JARs in the RAR file and if the JARs are relatively small in size, there will be no significant performance impact. On the other hand, if there are many JARs and the JARs are large in size, the performance impact can be great. To avoid such performance issues, you can either: 1. Deploy the resource adapter in an exploded format. This eliminates the nesting of JARs and hence reduces the performance hit involved in looking for classes. 2. If deploying the resource adapter in exploded format is not an option, the JARs can be exploded within the RAR file. This also eliminates the nesting of JARs and thus improves the performance of classloading significantly.17.2 Connection Optimizations
Oracle recommends that resource adapters implement the optional enhancements described in sections 7.14.2 and 7.14.2 of the J2CA 1.5 Specification at http:java.sun.comj2eeconnectordownload.html . Implementing these interfaces allows WebLogic Server to provide several features that will not be available without them. Lazy Connection Association, as described in section 7.14.1, allows the server to automatically clean up unused connections and prevent applications from hogging resources. Lazy Transaction Enlistment, as described in 7.14.2, allows applications to start a transaction after a connection is already opened. 17-2 Performance and Tuning for Oracle WebLogic Server17.3 Thread Management
Parts
» Oracle Fusion Middleware Online Documentation Library
» Document Scope and Audience Guide to this Document
» Performance Features of this Release Tune Pool Sizes
» Understand Your Performance Objectives
» Locate Bottlenecks in Your System Minimize Impact of Bottlenecks Tune Your Application
» VM Heap Size and Garbage Collection
» Choosing a Garbage Collection Scheme Using Verbose Garbage Collection to Determine Heap Size
» Other Java HotSpot VM Options
» Specifying Heap Size Values Tuning Tips for Heap Sizes Automatically Logging Low Memory Conditions
» JVM Tuning Considerations Using JRockit Flight Recorder Tuning Considerations
» Setting Java Parameters for Starting WebLogic Server
» Development vs. Production Mode Default Tuning Values
» Tuning Muxers Tuning Network IO
» Tuning Message Size Tuning Complete Message Timeout Tuning Number of File Descriptors
» Tune the Chunk Parameters Tuning Connection Backlog Buffering
» Tuning Cached Connections Tuning Network IO
» Scalability and High Availability
» JNDI Binding, Unbinding and Rebinding Running Multiple Server Instances on Multi-Core Machines
» Filtering Loader Mechanism Class Caching
» Using the Default Persistent Store Using Custom File Stores and JDBC Stores
» Basic Tuning Information Tuning File Stores
» Best Practices When Using Persistent Stores Tuning JDBC Stores General Suggestions
» Transaction-Level Caching Caching between Transactions Ready Bean Caching
» Tuning the Stateless Session Bean Pool Tuning the MDB Pool Tuning the Entity Bean Pool
» Use JDBC Batch Operations Tuned Updates Using Field Groups include-updates
» call-by-reference Bean-level Pessimistic Locking Concurrency Strategy
» Cache Miss Ratio Lock Waiter Ratio
» Lock Timeout Ratio Pool Miss Ratio
» Destroyed Bean Ratio Pool Timeout Ratio
» Determining the Number of Concurrent MDBs Selecting a Concurrency Strategy
» Thread Utilization When Using WebLogic Destinations Limitations for Multi-threaded Topic MDBs
» Use Test Connections on Reserve with Care Cache Prepared and Callable Statements
» Read-only, One-Phase Commit Optimizations JMS Performance Tuning Check List
» Improving Message Processing Performance
» Cache and Re-use Client Resources Tuning Distributed Queues
» Quota Resources Destination-Level Quota
» Defining a Send Timeout on Connection Factories
» Tuning Topics Tuning for Large Messages Setting Maximum Message Size for Network Protocols
» Compressing Messages Oracle Fusion Middleware Online Documentation Library
» How Flow Control Works Configuring Flow Control
» 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
» Best Practices Using UOO and Distributed Destinations Migrating Old Applications to Use UOO
» Messaging Performance Configuration Parameters
» Client-side Thread Pools Best Practices for JMS .NET Client Applications
» Best Practices Changing the Batch Size Changing the Batch Interval
» Changing the Quality of Service Using Multiple Bridge Instances Changing the Thread Pool Size
» Classloading Optimizations for Resource Adapters Connection Optimizations
» Disable Page Checks Use Custom JSP Tags Precompile JSPs
» Managing Session Persistence Session Management
» Thread Management InteractionSpec Interface Pub-Sub Tuning Guidelines
» Setting the Buffering Sessions Releasing Asynchronous Resources
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