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Java Parsing Optimization: Processing 1 Billion Rows of Weather Data

GOTO Conferences via YouTube

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This presentation follows the optimization of a Java program that parses one billion weather records. It covers techniques including memory-mapped files, SWAR, branchless code, and Graal native-image compilation.

Syllabus

Intro
The challenge
Watch, learn, adopt, experiment
Mechanical sympathy
Temperature as integer
Memory mapped files
Getting unsafe
SWAR
Stringless
Branchless programming
Parse the temperature
Keeping track
Which JVM?
Graal native-image
Summary
Results
Outro

Taught by

GOTO Conferences

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