Tag: Apache Spark
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Unlocking Apache Spark Performance: Three Open-Source Tools We Use at CERN
Unlocking Apache Spark Performance: Three Open-Source Tools We Use at CERN Apache Spark is incredibly powerful, but anyone who has worked with it long enough knows the feeling: Why is this job suddenly slower today? Why are executors running out of memory? Why is one stage taking 90% of the runtime? What exactly is Spark
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Why I’m Loving Spark 4’s Python Data Source (with Direct Arrow Batches)
Why I’m Loving Spark 4’s Python Data Source (with Direct Arrow Batches) TL;DR: Apache Spark 4 lets you build first-class data sources in pure Python. If your reader yields Arrow RecordBatch objects, Spark ingests them with reduced Python↔JVM serialization overhead. I used this to ship a ROOT data format reader for PySpark. A PySpark reader
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ATLAS DCS Analysis with Apache Spark and Jupyter Notebooks
ATLAS DCS Analysis with Apache Spark and Jupyter Notebooks The ATLAS Detector Control System (DCS) at CERN is essential for ensuring optimal detector performance. Each year, the system generates tens of billions of time-stamped sensor readings, presenting considerable challenges for large-scale data analysis. Although these data are stored in Oracle databases that excel in real-time
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Building an Apache Spark Performance Lab: Tools and Techniques for Spark Optimization
Building an Apache Spark Performance Lab: Tools and Techniques for Spark Optimization Apache Spark is renowned for its speed and efficiency in handling large-scale data processing. However, optimizing Spark to achieve maximum performance requires a precise understanding of its inner workings. This blog post will guide you through establishing a Spark Performance Lab with essential
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Enhancing Apache Spark and Parquet Efficiency: A Deep Dive into Column Indexes and Bloom Filters
Enhancing Apache Spark and Parquet Efficiency: A Deep Dive into Column Indexes and Bloom Filters In the ever-evolving landscape of big data, Apache Spark and Apache Parquet continue to introduce game-changing features. Their latest updates have brought forward significant enhancements, including column indexes, bloom filters. This blog post delves into these new features, exploring their
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Enhancing Apache Spark Performance with Flame Graphs: A Practical Example Using Grafana Pyroscope
Enhancing Apache Spark Performance with Flame Graphs: A Practical Example Using Grafana Pyroscope TL;DR Explore a step-by-step example of troubleshooting Apache Spark job performance using flame graph visualization and profiling. Discover the seamless integration of Grafana Pyroscope with Spark for streamlined data collection and visualization. The Puzzle of the Slow Query Set within the framework
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Performance Comparison of 5 JDKs on Apache Spark
Performance Comparison of 5 JDKs on Apache Spark Dive into a comprehensive load-testing exploration using Apache Spark with CPU-intensive workloads. This blog provides a comparative analysis of five distinct JDKs’ performance under heavy-duty tasks generated through Spark. Discover a meticulous breakdown of our testing methodology, tools, and insightful results. Keep in mind, our observations primarily
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Exploratory Notebooks for Deep Learning, AI, and Data Tools: A Beginner’s Guide
Exploratory Notebooks for Deep Learning, AI, and Data Tools: A Beginner’s Guide Are you looking at some resources to get you up to speed with popular Deep Learning and Data processing frameworks? This blog entry provides a curated collection of notebooks that will help you kickstart your journey. You can find the notebooks at this
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Introduction to Apache Spark APIs for Data Processing
Introduction to Apache Spark APIs for Data Processing Welcome to the website of the course on Apache Spark by CERN IT. The course is self-paced and open, it is a short introduction to the architecture and key abstractions used by Spark. Theory and demos cover the main Spark APIs: DataFrame API, Spark SQL, Streaming, Machine
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Can High Energy Physics Analysis Profit from Apache Spark APIs?
Can High Energy Physics Analysis Profit from Apache Spark APIs? We are in a golden age for distributed data processing, with an abundance of tools and solutions emerging from industry and open source. High Energy Physics (HEP) experiments at the LHC stand to profit from all this progress, as they are data-intensive operations with several