Tag Archives: Coherence
This article shows how to process Coherence events by using Map Triggers. Basically, Distributed Data Management in Oracle Coherence is suggested to look over basic configuration and implementation of Oracle Coherence API.
Map Triggers are one of the most important features of Oracle Coherence to provide a highly customized cache management system. MapTrigger represents a functional agent that allows to validate, reject or modify mutating operations against an underlying map. Also, they can prevent invalid transactions, enforce security, provide event logging and auditing, and gather statistics on data modifications.
For example, we have code that is working with a NamedCache, and we want to change an entry’s behavior or contents before the entry is inserted into the map. This change can be made without modifying all the existing code by enabling a map trigger.
There are two ways to add Map Triggers feature to application :
1) A MapTriggerListener can be used to register a MapTrigger with a Named Cache
2) The class-factory mechanism can be used in the coherence-cache-config.xml configuration file
In the following sample application, MapTrigger functionality is implemented by following the first way. A new cluster called OTV, is created and User bean is distributed by user-map NamedCache object used among two members of the cluster.
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How to distribute Spring Beans by using EntryProcessor and PortableObject features in Oracle Coherence
This article shows how to distribute Spring beans by using EntryProcessor and Portable Object Format(POF) features in Oracle Coherence.
Coherence supports a lock-free programming model through the EntryProcessor API. This feature improves system performance by reducing network access and performing an implicit low-level lock on the entries. This implicit low-level locking functionality is different than the explicit lock(key) provided by ConcurrentMap API.
Explicit locking, Transaction Framework API and Coherence Resource Adapter are other Coherence Transaction Options as Entry Processors. For detailed informations about Coherence Transaction Options, please look at the references section. In addition, Distributed Data Management in Oracle Coherence Article can be suggested for the Coherence Explicit locking implementation.
Portable Object Format(POF) is a platform-independent serialization format. It allows to encode equivalent Java, .NET and C++ objects into the identical sequence of bytes. POF is suggested for the system performance since Serialization and Deserialization performances of POF are better than the Standart Java Serialization(According to Coherence Reference document, in a simple test class with a String, a long, and three ints, (de)serialization was seven times faster than the Standart Java Serialization).
Coherence offers many kinds of cache types such as Distributed(or Partitioned), Replicated, Optimistic, Near, Local and Remote Cache. Distributed cache is defined as a collection of data that is distributed (or, partitioned) across any number of cluster nodes such that exactly one node in the cluster is responsible for each piece of data in the cache, and the responsibility is distributed (or, load-balanced) among the cluster nodes. Please note that distributed cache type has been used in this article. Since the other cache-types are not in the scope of this article, please look at the References section or Coherence Reference document. Their configurations are very similar to distributed cache configuration.
How to distribute Spring Beans by using Coherence Article covering Explicit locking – Java Standart Serialization is suggested to compare two different implementations(EntryProcessor – Portable Object Format(POF) and Explicit locking – Java Standart Serialization).
In this article, a new cluster named OTV has been created and a spring bean has been distributed by using a cache object named user-cache. It has been distributed between two members of the cluster.
This article shows how to distribute Spring beans by using Coherence. In below sample application, a new cluster named OTV has been created and a spring bean has been distributed by using a cache object named user-map. It has been distributed between two members of the cluster.
Used Technologies :
This article shows how to provide distributed(partitioned) data management by using Oracle Coherence. In below sample application, a new cluster named OTV has been created and a cache object named user-map has been distributed between two members of the cluster.
Used Technologies :