High Performance Spark: Best practices for scaling and optimizing Apache Spark. 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.pdf
ISBN: 9781491943205 | 175 pages | 5 Mb


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



High Performance Spark: Best practices for scaling and optimizing Apache Spark Holden Karau, Rachel Warren
Publisher: O'Reilly Media, Incorporated



Packages get you to production faster, help you tune performance in production, . Data model, dynamic schema and automatic scaling on commodity hardware . Scaling with Couchbase, Kafka and Apache Spark Matt Ingenthron, Sr. Of the Young generation using the option -Xmn=4/3*E . Tuning and performance optimization guide for Spark 1.4.1. Feel free to ask on the Spark mailing list about other tuning best practices. Register the classes you'll use in the program in advance for best performance. Objects, and the overhead of garbage collection (if you have high turnover in terms of objects). The classes you'll use in the program in advance for bestperformance. Director SDK Spark vs Hadoop • Spark is RAM while Hadoop is HDFS (disk) bound .Performance & scalability leader Sub millisecond latency with high . 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. Of use/debugging, scalability, security, and performance at scale. Apache Spark and MongoDB - Turning Analytics into Real-Time Action. And the overhead of garbage collection (if you have high turnover in terms of objects). Serialization plays an important role in the performance of any distributed application.





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