1B Rows with the Memory API - JEP Cafe #25

The podcast explores analyzing large datasets in Java using standard APIs and off-heap memory. It begins by referencing the 1 Billion Rows Challenge, where participants optimized text file processing. The discussion then shifts to leveraging Java's Foreign Functions and Memory API (JEP 454) for efficient data analysis. Key topics include arena management for memory segment lifecycle, memory layouts for structuring data, and VAR handles for accessing off-heap memory. The podcast also covers mapping memory segments to files using file channels and processing data with the Stream API, emphasizing the importance of avoiding boxing/unboxing overhead. It concludes with a performance comparison, noting that while standard Java code may not beat highly optimized solutions, it offers robustness and decent performance for large-scale data analysis.