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.
Topic: This blog post is about kernel stack profiling and visualization with flame graphs.
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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