InfoQ Homepage Presentations Using a Graph Database for JVM Heap Analysis
Using a Graph Database for JVM Heap Analysis
Summary
James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.
Bio
Nat Pryce is a co-author of Growing Object-Oriented Software Guided by Tests. An early adopter of XP, he has written or contributed to several open source libraries and tools that support TDD and was one of the founding organizers of the London XP Day conference. James Richardson
About the conference
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Community comments
80K nodes is tiny...trying 80 million nodes and doing that in a few seconds
by William Louth /
Sound
by Charles Humble /
80K nodes is tiny...trying 80 million nodes and doing that in a few seconds
by William Louth /
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Creating New Software Memories from Simulated Episodic Memory Recall
vimeo.com/121273568
This video demonstrates how during the recollection of a software machine episodic memory new memories can be created of a very different nature. An integration with Neo4j, a graph database, is deployed into a simulated machine (dream sequencing) whereby it intercepts the simulated entering and exiting of method call invocations by individual threads and creates corresponding nodes (threads, frames and names) within a graph database for visualization and ad hoc querying. The original recording was created by deploying the Satoris agent into a JVM running the Apache Cassandra NoSQL database with the stenos metering extension enabled.
The interception code can be found here: gist.github.com/autoletics/fafbffedfbb13176e4fa
Sound
by Charles Humble /
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We're sorry about the sound quality on this video. We couldn't get a feed from the clip mics and had to rely on room audio.
Charles Humble
Head of editorial, InfoQ