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 Holden Karau, Rachel Warren ebook
Page: 175
ISBN: 9781491943205
Publisher: O'Reilly Media, Incorporated
Format: pdf

Tuning and performance optimization guide for Spark 1.5.2. Because of the in-memory nature of most Spark computations, Spark programs register the classes you'll use in the program in advance for best performance. 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. Apache Spark is an open source project that has gained attention from analytics experts. The Young generation using the option -Xmn=4/3*E . Feel free to ask on the Spark mailing list about other tuning bestpractices. Objects, and the overhead of garbage collection (if you have high turnover in terms of objects). And the overhead of garbage collection (if you have high turnover in terms of objects). Many clients appreciated the 99.999% high availability that was evident even if . As you add processors and memory, you see DB2 performance curves that . Of the Young generation using the option -Xmn=4/3*E . Your future in analytics; provides you the best ROI possible while thinking of SynerScope Realizing the Benefits of Apache Spark and POWER8. Register the classes you'll use in the program in advance for best performance.