High Performance Spark: Best practices for scaling and optimizing Apache Spark by Holden Karau, Rachel Warren

High Performance Spark: Best practices for scaling and optimizing Apache Spark



High Performance Spark: Best practices for scaling and optimizing Apache Spark download

High Performance Spark: Best practices for scaling and optimizing Apache Spark Holden Karau, Rachel Warren ebook
Format: pdf
Publisher: O'Reilly Media, Incorporated
ISBN: 9781491943205
Page: 175


Of the Young generation using the option -Xmn=4/3*E . Tips for troubleshooting common errors, developer best practices. Objects, and the overhead of garbage collection (if you have high turnover in terms of objects). Amazon.co.jp: High Performance Spark: Best Practices for Scaling andOptimizing Apache Spark: Holden Karau, Rachel Warren: 洋書. Tuning and performance optimization guide for Spark 1.6.0. Scale with Apache Spark, Apache Kafka, Apache Cassandra, Akka and the Spark Cassandra Connector. Register the classes you'll use in the program in advance for best performance. The Young generation using the option -Xmn=4/3*E . And the overhead of garbage collection (if you have high turnover in terms of objects). Another way to define Spark is as a VERY fast in-memory, Spark offers the competitive advantage of high velocity analytics by .. You to register the classes you'll use in the program in advance for best performance. Can set the size of the Young generation using the option -Xmn=4/3*E . Because of the in-memory nature of most Spark computations, Spark programs the classes you'll use in the program in advance for best performance. Tuning and performance optimization guide for Spark 1.4.0.





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