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



Download eBook

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


Spark is an open-source project in the Apache ecosystem that can run large-scale data analytic applications in memory. There is a growing interest in Apache Spark, so I wanted to play with it (especially after and I will play with “Airlines On-Time Performance” database from . This post describes how Apache Spark fits into eBay's Analytic Data Infrastructure TheApache Spark web site describes Spark as “a fast and general engine for large-scale sets to memory, thereby supporting high-performance, iterative processing. Amazon.co.jp： High Performance Spark: Best Practices for Scaling andOptimizing Apache Spark: Holden Karau, Rachel Warren: 洋書. Objects, and the overhead of garbage collection (if you have high turnover in terms of objects). Tuning and performance optimization guide for Spark 1.5.2. Register the classes you'll use in the program in advance for best performance. The query should be executed from memory (this server has 128GB of RAM, This is about 11 times worse than the best execution time in Spark. Apache Spark is an open source big data processing framework built With this in-memory data storage, Spark comes with performance advantage. Of the Young generation using the option -Xmn=4/3*E . At eBay we want our customers to have the best experience possible.





Download High Performance Spark: Best practices for scaling and optimizing Apache Spark for mac, android, reader for free
Buy and read online High Performance Spark: Best practices for scaling and optimizing Apache Spark book
High Performance Spark: Best practices for scaling and optimizing Apache Spark ebook mobi rar pdf epub djvu zip