Dev Tools · 2h ago
Graph algorithms on billion-scale data with just 10GB RAM
A developer shows how to run connected components on billion-edge graphs using only 10GB of RAM, leveraging Apache DataFusion's in-memory engine. The approach avoids distributed systems, making large-scale graph analysis accessible on a single machine. This demonstrates DataFusion's efficiency for memory-constrained big data tasks.
Meridian48 take
The claim is impressive but hinges on specific graph structures; still, it highlights DataFusion's potential to democratize large-scale analytics.
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Algorithms on billion-scale graph using 10GB RAM: I love DataFusion →
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