Dive into RIFE java潜入盛行的java.pl.ppt

Jonas Bonér Terracotta, Inc. jonas@ Let’s start with a demo – since a picture says more than a thousand words Agenda Overview of Terracotta Get started The inner workings of a clustered JVM Real-world examples QA Agenda Overview of Terracotta Get started The inner workings of a clustered JVM Real-world examples QA What is Terracotta? Network-Attached Memory Open Source Scalability and High-Availability for the JVM What is Terracotta? Network-Attached Memory No API: declarative configuration to selectively share object graphs across the cluster No serialization: plain POJO clustering Fine-grained replication: field-level, heap-level replication Cross-JVM coordination: Java Memory Model maintained across the cluster – e.g. cluster-wide wait/notify and synchronized Large virtual heaps: that exceeds the capacity of a single JVM Distributed Method Invocations Runtime monitoring and control Use-cases Relieving Database Overload Distributed Caching Hibernate Clustering HTTP Session Clustering Simplifying Application Architecture and Development Virtual Heap for Large Datasets Clustering OSS Frameworks (Spring, Struts, Lucene, Wicket, EHCache etc.) Master/Worker – Managing Large Workloads POJO Clustering Messaging, Event-based Systems and Coordination-related Tasks Terracotta approach Todays Reality Scale out is complex Requires custom Java code The architecture of Terracotta Terracotta Server 100% Pure Java HA Active / Passive Pair Local JVM Client Transparent Pure Java Libraries Coordinator “traffic cop” Coordinates resource access Runtime optimizations Central Storage Maintains state across restarts Network-Attached Memory Heap Level Replication Declarative No Serialization Fine Grained / Field Level GET_FIELD - PUT_FIELD Only Where Resident JVM Coordination Distributed Synchronized Block Distributed wait()/notify() Fine Grained Locking MONITOR_ENTRY -MONITOR_EXIT Large Virtual Heaps As large as available disk Dynamic paging Agenda Overview of Terracotta