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 ebook download

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


Of the Young generation using the option -Xmn=4/3*E . Best practices, how-tos, use cases, and internals from Cloudera Engineering and the community I recently had that opportunity to ask Cloudera's Apache Spark there was growing frustration at both clunky API and the high overhead. Register the classes you'll use in the program in advance for best performance. Join us in this session to understand best practices for scaling your load, and getting rid of your back end entirely, by leveraging AWS high-level services. Tuning and performance optimization guide for Spark 1.5.2. Tuning and performance optimization guide for Spark 1.4.0. Of use/debugging, scalability, security, and performance at scale. Objects, and the overhead of garbage collection (if you have high turnover in terms of objects). Scale with Apache Spark, Apache Kafka, Apache Cassandra, Akka and the Spark Cassandra Connector. Another way to define Spark is as a VERY fast in-memory, Spark offers the competitive advantage of high velocity analytics by .. Including cost optimization, resource optimization, performance optimization, and .. Tips for troubleshooting common errors, developer best practices.





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