Case class is a most widely used way to model your data. But when the data is huge, you can amazingly discover that only a tiny 10% of your precious RAM used for the data itself. But where is other 90%?
During this talk, you will have a deep dive into the JVM internals learning about case class layout, Scala collections true memory overhead and ways to decrease it. We'll introduce a scala-packed, the project helped Findify to solve a real-life case of reducing memory usage by an order of magnitude by extending Scala collections with transparent Shapeless-based case class - Array[Byte] packing.
ROMAN GREBENNIKOV
@public_void_grv
Roman Grebennikov is a passionate software developer from Russia with hands-on experience in software development, JVM, high-performance computation and algorithmic research. During last years he has focused on delivery of functional programming and practices to real-world data analysis and machine-learning projects.
[ Ссылка ]
Scalar Conference 2018
by SoftwareMill
