Dive into a comprehensive load-testing exploration using Apache Spark with CPU-intensive workloads.
TLDR; Apache Spark 3.0 comes with many improvements, including new features for memory monitoring.
Topic: This post is about techniques and tools for measuring and understanding CPU-bound and memory-bound workloads in Apache Spark. You will find examples applied to studying a simple workload consisting of reading Apache Parquet files into a Spark DataFrame.
Topic: In this post you can find a few simple examples illustrating importa
Topic: This post is about performance optimizations introduced in Apache Spark 2.0, in particular whole-stage code gen
Topic: this post is about Linux perf and uprobes for tracing and profiling Oracle workloads for advanced troubleshooting.
Topic: This post provides a short summary and pointers to previous work on Extended Stack Profiling for troubleshooting and performance investigations.
Topic: this post is about investigating Oracle wait events using stack profiles and flame graphs extended with OS-process state and Oracle wait event details.
The views expressed in this blog are those of the authors and cannot be regarded as representing CERN’s official position.
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