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Mastering Apache Spark 2.x

You're reading from   Mastering Apache Spark 2.x Advanced techniques in complex Big Data processing, streaming analytics and machine learning

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781786462749
Length 354 pages
Edition 2nd Edition
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Author (1):
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Romeo Kienzler Romeo Kienzler
Author Profile Icon Romeo Kienzler
Romeo Kienzler
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Table of Contents (15) Chapters Close

Preface 1. A First Taste and What’s New in Apache Spark V2 2. Apache Spark SQL FREE CHAPTER 3. The Catalyst Optimizer 4. Project Tungsten 5. Apache Spark Streaming 6. Structured Streaming 7. Apache Spark MLlib 8. Apache SparkML 9. Apache SystemML 10. Deep Learning on Apache Spark with DeepLearning4j and H2O 11. Apache Spark GraphX 12. Apache Spark GraphFrames 13. Apache Spark with Jupyter Notebooks on IBM DataScience Experience 14. Apache Spark on Kubernetes

Memory management beyond the Java Virtual Machine Garbage Collector

The JVM Garbage Collector is in support of the whole object's life cycle management the JVM provides. Whenever you see the word new in Java code, memory is allocated in a JVM memory segment called heap.

Java completely takes care of memory management and it is impossible to overwrite memory segments that do not belong to you (or your object). So if you write something to an object's memory segment on the heap (for example by updating a class property value of type Integer, you are changing 32 bit on the heap) you don't use the actual heap memory address for doing so but you use the reference to the object and either access the object's property or use a setter method.

So we've learned about new allocated memory on the heap, but how does it ever get freed? This is where the Java Garbage...

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