一点点想法，关于Spark执行引擎大幅优化

纠错   29 Apr 2015

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其中有三点性能优化的方法。

原文：Project Tungsten: Bringing Spark Closer to Bare Metal

1. Memory Management and Binary Processing: leveraging application semantics to manage memory explicitly and eliminate the overhead of JVM object model and garbage collection

2. Cache-aware computation: algorithms and data structures to exploit memory hierarchy

3. Code generation: using code generation to exploit modern compilers and CPUs

贴一下第一点的图。

想了下Spark Binary Map，通过unsafe的确可以访问对象的内存地址，如果java中保存的是内存地址，查找如何做呢？

等待。。。。。。

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