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Realtime Analytics Using MongoDB, Python, Gevent, and ZeroMQ

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Rick Copeland
Rick Copeland

Zarkov is a real-time analytics platform that uses MongoDB, Python, Gevent, and ZeroMQ to aggregate and analyze event data. It handles high volumes of event ingestion and uses a lightweight map/reduce framework to incrementally calculate statistics. The system was developed at SourceForge.net to monitor user and project activity in real-time and has proven capable of replacing other analytics solutions.

Tecnología
1 de 22
Realtime Analytics using MongoDB, Python, Gevent, and ZeroMQ Rick Copeland @rick446 [email_address]
SourceForge s MongoDB ,[object Object],[object Object],[object Object]
The Problem We’re Trying to Solve ,[object Object],[object Object],[object Object],[object Object]
Introducing Zarkov 0.0.1 ,[object Object],[object Object],[object Object]
Zarkov Architecture MongoDB BSON over ZeroMQ Journal Greenlet Commit Greenlet Write-ahead log Write-ahead log Aggregation Greenlet
Technologies ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
“Wow, it’s really fast; can it replace…” ,[object Object],[object Object],[object Object],“Probably, but it’ll take some work….”
Moving towards production.... ,[object Object],[object Object],[object Object],[object Object],[object Object]
Zarkov’s already doing a lot… ,[object Object],[object Object],[object Object],[object Object],[object Object]
Quick Map/reduce Refresher ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Quick Map/reduce Refresher ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Parallel
Zarkov Map/Reduce Architecture map_in_#.bson Query Map Sort Reduce Commit map_out_#.bson reduce_in.bson Job Mgr
Zarkov Map/Reduce ,[object Object],[object Object],[object Object],[object Object]
Zarkov Web Service ,[object Object],[object Object],[object Object],[object Object],[object Object]
Zarkov Deployment at SF.net
Lessons learned at
MongoDB Tricks ,[object Object],[object Object],class IdGen ( object): @classmethod def get_ids(cls, inc = 1): obj = cls.query.find_and_modify( query={ '_id': 0}, update ={ '$inc': dict(inc =inc), }, upsert= True, new = True) return range(obj .inc - inc, obj.inc)
MongoDB Pitfalls ,[object Object],[object Object],[object Object],[object Object]
Open Source Ming http://sf.net/projects/merciless/ MIT License Allura http://sf.net/p/allura/ Apache License Zarkov http://sf.net/p/zarkov/ Apache License
Future Work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Rick Copeland @rick446 [email_address]
Credits ,[object Object]

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Realtime Analytics Using MongoDB, Python, Gevent, and ZeroMQ

Notas del editor

  1. Can record many more than 4k events per second  345M events per day (single-thread, VM on a laptop) – we get a lot of traffic, but not that much  MR makes this much lower if calculated continuously, still hundreds of events even with MR locking