Performance Comparison of 5 JDKs on Apache Spark
Dive into a comprehensive load-testing exploration using Apache Spark with CPU-intensive workloads.
Performance
Performance
Apache Spark 3.0 Memory Monitoring Improvements
TLDR; Apache Spark 3.0 comes with many improvements, including new features for memory monitoring.
Performance Analysis of a CPU-Intensive Workload in Apache Spark
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.
Diving into Spark and Parquet Workloads, by Example
Topic: In this post you can find a few simple examples illustrating importa
Apache Spark 2.0 Performance Improvements Investigated With Flame Graphs
canali
Wed, 09/14/2016 - 12:02
Topic: This post is about performance optimizations introduced in Apache Spark 2.0, in particular whole-stage code gen
Linux Perf Probes for Oracle Tracing
Topic: this post is about Linux perf and uprobes for tracing and profiling Oracle workloads for advanced troubleshooting.
Context
Extended Stack Profiling - Ideas, Tools and Comments
Topic: This post provides a short summary and pointers to previous work on Extended Stack Profiling for troubleshooting and performance investigations.
Oracle Wait Events Investigated With Extended Stack Profiling and Flame Graphs
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.
Disclaimer
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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