Oracle WebLogic Server 11g 性能调优指南

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"Oracle® Fusion Middleware Performance and Tuning for Oracle WebLogic Server 11g Release 1 (10.3.6) 是一本专为监控和优化WebLogic Server环境中的性能而设计的指南，旨在帮助管理员提升Oracle Fusion Middleware组件的运行效率。本书详细介绍了在11g版本的第六次发布中针对WebLogic Server的性能调优技术。" 本文档涵盖了以下几个关键知识点： 1. **WebLogic Server基础**：首先，了解Oracle WebLogic Server是Oracle Fusion Middleware的核心组成部分，它是一个企业级的Java应用服务器，用于部署和管理Java应用程序和服务。 2. **性能监控**：书中详细阐述了如何监控WebLogic Server的性能，包括使用内置的管理工具（如WebLogic Server Console和WLST - WebLogic Scripting Tool）来收集和分析关键性能指标，如CPU利用率、内存消耗、线程状态等。 3. **性能调优策略**：文档提供了针对服务器配置、JVM参数、网络设置、数据源、 ejb 容器、事务管理等方面的调优建议。例如，调整JVM内存分配、选择合适的垃圾回收策略、优化连接池配置等。 4. **集群和负载均衡**：在分布式环境中，如何配置WebLogic Server集群以实现负载均衡和故障转移，确保服务高可用性和可扩展性。 5. **应用程序性能优化**：探讨了如何优化Java代码、数据库连接、缓存策略以及服务调用以提高应用性能。 6. **诊断和问题排查**：书中包含了诊断性能问题的技巧和工具，如日志分析、JMX（Java Management Extensions）监控、性能分析器的使用等。 7. **安全性与性能**：讨论了安全设置对整体性能的影响，如何平衡安全性与性能需求，如SSL/TLS配置和身份验证机制。 8. **自动化管理**：介绍如何利用脚本和自动化工具进行批量配置和性能调整，以简化运维工作。 9. **最佳实践**：总结了一系列针对不同场景的最佳实践，以帮助管理员在日常操作中避免常见性能瓶颈。 10. **持续性能管理**：强调了持续监控、定期评估和调整的重要性，以及如何建立性能基准和警报系统，以便及时发现并解决性能问题。这本书对于那些需要管理和优化Oracle WebLogic Server环境的人来说，是一份宝贵的参考资料，它不仅提供了深入的技术指导，还强调了实践经验，有助于提升整个Oracle Fusion Middleware系统的性能和稳定性。

Performance Features of this Release

1-2 Performance and Tuning for Oracle WebLogic Server

■ Chapter 10, "Tuning WebLogic Server EJBs," provides information on how to tune

applications that use EJBs.

■ Chapter 11, "Tuning Message-Driven Beans," provides information on how to tune

Message-Driven beans.

■ Chapter 12, "Tuning Data Sources," provides information on how to tune JDBC

applications.

■ Chapter 13, "Tuning Transactions," provides information on how to tune Logging

Last Resource transaction optimization.

■ Chapter 14, "Tuning WebLogic JMS," provides information on how to tune

applications that use WebLogic JMS.

■ Chapter 15, "Tuning WebLogic JMS Store-and-Forward," provides information on

how to tune applications that use JMS Store-and-Forward.

■ Chapter 16, "Tuning WebLogic Message Bridge," provides information on how to

tune applications that use the Weblogic Message Bridge.

■ Chapter 17, "Tuning Resource Adapters," provides information on how to tune

applications that use resource adaptors.

■ Chapter 18, "Tuning Web Applications," provides best practices for tuning

WebLogic Web applications and application resources:

■ Chapter 19, "Tuning Web Services," provides information on how to tune

applications that use Web services.

■ Chapter 20, "Tuning WebLogic Tuxedo Connector," provides information on how

to tune applications that use WebLogic Tuxedo Connector.

■ Appendix A, "Using the WebLogic 8.1 Thread Pool Model," provides information

on using execute queues.

■ Appendix B, "Capacity Planning," provides an introduction to capacity planning.

1.3 Performance Features of this Release

WebLogic Server introduces the following performance enhancements:

■ Section 8.4.2, "Tuning a File Store Direct-Write-With-Cache Policy"

■ Section 8.5, "Using a Network File System"

■ Section 6, "Tuning WebLogic Diagnostic Framework and JRockit Flight Recorder

Integration"

Use the Prepared Statement Cache

2-2 Performance and Tuning for Oracle WebLogic Server

2.2 Use the Prepared Statement Cache

The prepared statement cache keeps compiled SQL statements in memory, thus

avoiding a round-trip to the database when the same statement is used later. See

Chapter 12, "Tuning Data Sources".

2.3 Use Logging Last Resource Optimization

When using transactional database applications, consider using the JDBC data source

Logging Last Resource (LLR) transaction policy instead of XA. The LLR optimization

can significantly improve transaction performance by safely eliminating some of the

2PC XA overhead for database processing, especially for two-phase commit database

insert, update, and delete operations. For more information, see Chapter 12, "Tuning

Data Sources".

2.4 Tune Connection Backlog Buffering

You can tune the number of connection requests that a WebLogic Server instance

accepts before refusing additional requests. This tunable applies primarily for Web

applications. See Section 7.5.8, "Tuning Connection Backlog Buffering".

2.5 Tune the Chunk Size

A chunk is a unit of memory that the WebLogic Server network layer, both on the

client and server side, uses to read data from and write data to sockets. A server

instance maintains a pool of these chunks. For applications that handle large amounts

of data per request, increasing the value on both the client and server sides can boost

performance. See Section 7.5.7, "Tune the Chunk Parameters".

2.6 Use Optimistic or Read-only Concurrency

Use optimistic concurrency with cache-between-transactions or read-only concurrency

with query-caching for CMP EJBs wherever possible. Both of these two options

leverage the Entity Bean cache provided by the EJB container.

■ Optimistic-concurrency with cache-between-transactions work best with

read-mostly beans. Using verify-reads in combination with these provides high

data consistency guarantees with the performance gain of caching. See Chapter 10,

"Tuning WebLogic Server EJBs".

■ Query-caching is a WebLogic Server 9.0 feature that allows the EJB container to

cache results for arbitrary non-primary-key finders defined on read-only EJBs. All

of these parameters can be set in the application/module deployment descriptors.

See Section 10.4.8, "Concurrency Strategy".

2.7 Use Local Interfaces

Use local-interfaces or use call-by-reference semantics to avoid the overhead of

serialization when one EJB calls another or an EJB is called by a servlet/JSP in the

same application. Note the following:

■ In release prior to WebLogic Server 8.1, call-by-reference is turned on by default.

For releases of WebLogic Server 8.1 and higher, call-by-reference is turned off by

default. Older applications migrating to WebLogic Server 8.1 and higher that do

not explicitly turn on call-by-reference may experience a drop in performance.

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