Oracle Coherence is a component of Oracle Fusion Middleware that enables organizations to predictably scale mission-critical applications by providing fast and reliable access to frequently used data. This tutorial walks you through the setup required to create Java enterprise (Web) applications that run on Oracle WebLogic Server, use Oracle Coherence, and are developed by using Eclipse. Over each individual icon in the following steps to load and view only the screenshot Note: Alternatively, you can place the cursor Time may be slow depending on your Internet connection.) (Caution: This action loads all screenshots simultaneously, so the response Place the cursor over this icon to load and view all the screenshots for this tutorial. This tutorial covers the following topics:ĭeploying to Oracle WebLogic Server and Testing
Oracle coherence cache tutorial how to#
This tutorial shows you how to configure an Eclipse-based development environment to develop Web and enterprise applications for Oracle WebLogic Server that use the Oracle Coherence data caching system. Local Cache-Local on-heap caching for non-clustered caching.Oracle Coherence and Oracle WebLogic Server: Setting Up an Eclipse Development Environment Oracle Coherence and Oracle WebLogic Server: Setting Up an Eclipse Development Environment Purpose Replicated Cache-Perfect for small, read-heavy caches.ĭistributed Cache-True linear scalability for both read and write access. Data is automatically, dynamically and transparently partitioned across nodes. The distribution algorithm minimizes network traffic and avoids service pauses by incrementally shifting data. Near Cache-Provides the performance of local caching with the scalability of distributed caching. Several different near-cache strategies are available and offer a trade-off between performance and synchronization guarantees. In-process caching provides the highest level of raw performance, since objects are managed within the local JVM. This benefit is most directly realized by the Local, Replicated, Optimistic and Near Cache implementations. Out-of-process (client/server) caching provides the option of using dedicated cache servers. This can be helpful when you want to partition workloads (to avoid stressing the application servers).
This is accomplished by using the Partitioned cache implementation and simply disabling local storage on client nodes through a single command-line option or a one-line entry in the XML configuration. Tiered caching (using the Near Cache functionality) enables you to couple local caches on the application server with larger, partitioned caches on the cache servers, combining the raw performance of local caching with the scalability of partitioned caching. This is useful for both dedicated cache servers and co-located caching (cache partitions stored within the application server JVMs).
Oracle coherence cache tutorial portable#
See Part III, "Using Caches" for detailed information on configuring and using caches.īecause serialization is often the most expensive part of clustered data management, Coherence provides the following options for serializing/deserializing data:Ĭom.tangosol.io.pof.PofSerializer – The Portable Object Format (also referred to as POF) is a language agnostic binary format. See Chapter 20, "Using Portable Object Format." POF was designed to be incredibly efficient in both space and time and is the recommended serialization option in Coherence. Java.io.Serializable – The simplest, but slowest option. Java.io.Externalizable – This requires developers to implement serialization manually, but can provide significant performance benefits. Compared to java.io.Serializable, this can cut serialized data size by a factor of two or more (especially helpful with Distributed caches, as they generally cache data in serialized form).
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