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Joseph Percivall commented on NIFI-5922: ---------------------------------------- For tracking, an initial discussion thread is here: https://lists.apache.org/thread.html/%3c1217956179.5384158.1546477466...@mail.yahoo.com%3E > NiFi-Fn, an alternative runtime for NiFi flows > ---------------------------------------------- > > Key: NIFI-5922 > URL: https://issues.apache.org/jira/browse/NIFI-5922 > Project: Apache NiFi > Issue Type: Improvement > Reporter: Sam Hjelmfelt > Priority: Major > Time Spent: 2h 40m > Remaining Estimate: 0h > > NiFi-Fn is a library for running NiFi flows as stateless functions. It > provides similar delivery guarantees as NiFi without the need for on-disk > repositories by waiting to confirm receipt ofincoming data until it has been > written to the destination. This is similar to Storm’s acking mechanism and > Spark’s interface for committing Kafka offsets, except that in NiFi-Fn, this > is completely handled by the framework while still supporting all NiFi > processors and controller services natively without change.This results in > the ability to run NiFi flows as ephemeral, stateless functions and should be > able to rival MirrorMaker, Distcp, and Scoop for performance,efficiency, and > scalability while leveraging the vast library of NiFi processors and the NiFi > UI for building custom flows. > By leveraging container engines (e.g.YARN, Kubernetes), long-running NiFi-Fn > flows can be deployed that take full advantage of the platform’s scale and > multi-tenancy features. By leveraging Function as a Service engines (FaaS) > (e.g. AWS Lambda, Apache OpenWhisk), NiFi-Fn flows can be attached to event > sources (or just cron) for event-driven data movement where flows only run > when triggered and pricing is measured at the 100ms granularity. By combining > the two, large-scale batch processing could also be performed. -- This message was sent by Atlassian JIRA (v7.6.3#76005)