Pregel and giraph

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Pregel and giraph

Data & Analytics

Pregel

Pregel
• A System for Large-Scale Graph Processing
• Sufficiently flexible to express arbitrary graph
algorithms
• So easy

Pregel: Model Of Computation
• Vertex state
• Terminate codition: all vertex are inactive

Pregel: Model Of Computation
• Sequence of supersteps
• Invoke compute() for each active vertex
• Each vertex can
– Modify its state, its outgoing edges
– Recive messages
– Send messages to another

Pregel: Model Of Computation

Pregel: Model Of Computation

Pregel API

Pregel API
• Combiners
• Aggregators
• Topology Mutations
• Input and Output

Giraph

Why not implement Giraph with
multiple MapReduce jobs
• Too much disk, no in-memory caching, a
superstep becomes a job!

Giraph is a single Map-only job in
Hadoop
• Hadoop is purely a resource manager for Giraph, all
communication is done through Netty-based IPC

Maximum vertex value
implementation

Giraph components
• Master
– One active master at a time
– Assign partition owners to workers prior to each
superstep
– Synchronize supersteps
• Worker
– Load the graph from input
– Does the computation/messaging of its assigned
partitions

Graph distribution

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Predicting Loan Approval: A Data Science Project

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2. Pregel • A System for Large-Scale Graph Processing • Sufficiently flexible to express arbitrary graph algorithms • So easy

3. Pregel: Model Of Computation • Vertex state • Terminate codition: all vertex are inactive

4. Pregel: Model Of Computation • Sequence of supersteps • Invoke compute() for each active vertex • Each vertex can – Modify its state, its outgoing edges – Recive messages – Send messages to another

5. Pregel: Model Of Computation

6. Pregel: Model Of Computation

8. Pregel API • Combiners • Aggregators • Topology Mutations • Input and Output

10. Why not implement Giraph with multiple MapReduce jobs • Too much disk, no in-memory caching, a superstep becomes a job!

11. Giraph is a single Map-only job in Hadoop • Hadoop is purely a resource manager for Giraph, all communication is done through Netty-based IPC

12. Maximum vertex value implementation

13. Giraph components • Master – One active master at a time – Assign partition owners to workers prior to each superstep – Synchronize supersteps • Worker – Load the graph from input – Does the computation/messaging of its assigned partitions

14. Graph distribution

Editor's Notes

Combiner : gộp các message lại Aggregator : biến toàn mạng, nhận message từ user và combine lại