Luca Canali
@LucaCanaliLanguage Breakdown
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I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
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This repository contains the development code for sparkMeasure, an Apache Spark performance analysis and troubleshooting library. It simplifies collecting, aggregating, and exporting Spark task/stage metrics, and is designed for practical use by developers and data engineers in interactive analysis, testing, and production monitoring workflows.
Includes notes on using Apache Spark, with drill down on Spark for Physics, how to run TPCDS on PySpark, how to create histograms with Spark. Also tools for stress testing, measuring CPUs' performance, and I/O latency heat maps. Jupyter notebooks examples for using various DB systems.
Scripts and tools for troubleshooting and performance analysis in Linux. This includes dynamic tracing scripts with SystemTap both for system calls and for userspace function tracing.
A collection of old-school CLI scripts for Oracle RDBMS monitoring and performance troubleshooting.
PyLatencyMap is a tool for heat map visualization on the CLI. It is integrated with scrips to collect and visualize I/O latency heat maps from various sources, including Oracle wait events, BPF, SystemTap, DTrace, trace files.
PerfSheet4 is a tool for performance troubleshooting of Oracle databases. Query and visualize Oracle AWR data using pivot charts.
Tools and scripts for stack profiling: Userspace, Kernel, OS state and optionally Oracle wait
PerfSheet.js is a tool for Oracle RDBMS performance troubleshooting. Use it to extract and visualize Oracle AWR time series data in the browser using JavaScript and dynamic pivot charts.
%%sql magic for IPython, hopefully evolving into full SQL client
OraLatencyMap is an Oracle performance troubleshooting widget. It measures and visualizes Oracle wait-event latencies using heat maps in your terminal.
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