BigData Techcon - Beyond Messaging with Apache NiFi
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This document discusses Apache NiFi, an open source software project that provides a dataflow solution for gathering, processing, and delivering data between systems. NiFi addresses challenges with traditional messaging systems by allowing for data routing, transformation, prioritization, and provenance tracking. The document outlines NiFi's architecture and capabilities, provides a brief history of the project, and invites the reader to learn more and get involved with the Apache NiFi community.
BigData Techcon - Beyond Messaging with Apache NiFi
- 1. Beyond Messaging Enterprise Dataflow powered by Apache NiFi © Hortonworks Inc. 2011 – 2015. All Rights Reserved Aldrin Piri 3 November 2015
- 2. Page2 © Hortonworks Inc. 2011 – 2015. All Rights Reserved About me Senior Member of Technical Staff Project Management Committee and Committer @aldrinpiri
- 3. Page3 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Simplistic View of Enterprise Data Flow The Data Flow Thing Process and Analyze Data Acquire Data Store Data
- 4. Page4 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Global interactions with customers, business partners, and things spanning different volume, velocity, bandwidth, and latency needs Realistic View of Data Flow
- 5. Page5 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Meeting Edge Requirements GATHER DELIVER PRIORITIZE Track from the edge Through to the datacenter Small Footprints operate with very little power Limited Bandwidth can create high latency Data Availability exceeds transmission bandwidth Data Must Be Secured throughout its journey
- 6. Page6 © Hortonworks Inc. 2011 – 2015. All Rights Reserved • Remote sensor delivery (Internet of Things - IoT) • Intra-site / Inter-site / global distribution (Enterprise) • Ingest for driving analytics (Big Data) • Data Processing (Simple Event Processing) Where do we find data flow?
- 7. Page7 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Basics of Connecting Systems For every connection, these must agree: 1. Protocol 2. Format 3. Schema 4. Priority 5. Size of event 6. Frequency of event 7. Authorization access 8. Relevance P1 Producer C1 Consumer
- 8. Page8 © Hortonworks Inc. 2011 – 2015. All Rights Reserved • Messaging addresses only a small subset of the problem space • Needed to understand the big picture • Needed the ability to make immediate changes • Must maintain chain of custody for data • Rigorous security and compliance requirements Challenges of dataflow in the enterprise
- 9. Page9 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Great options including: • Kafka • ActiveMQ • Tibco Let us consider the perfect messaging system for this talk: • It has zero latency • It has perfect data durability • It supports unlimited consumers and producers Messaging Systems as Dataflow
- 10. Page10 © Hortonworks Inc. 2011 – 2015. All Rights Reserved “But my system needs…” • A different format and/or schema • To use a different protocol • The highest priority information first • Large objects (event batches) / Small Objects (streams) • Authorization to the data level • Only interested in a subset of data on a topic • Data needs to be enriched/sanitized before it arrives Dataflow as a messaging problem
- 11. Page11 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Using Messaging Only a subset agree using messaging 1. Protocol 2. Format 3. Schema 4. Priority 5. Size of event 6. Frequency of event 7. Authorization access 8. Relevance P1 CN C1 Messaging More issues to consider: • How do you know what the data flow looks like? • How is it managed? • How is it working – today, yesterday?
- 12. Page12 © Hortonworks Inc. 2011 – 2015. All Rights Reserved • Add new systems to handle the protocol differences • Add new systems to convert the data • Add new systems to reorder the data • Add new systems to filter the unauthorized data • Add new topics to represent ‘stages of the flow’ Which leads to latency, complexity, and limited retention Ultimately, the operations teams who handle data at flow boundaries become responsible for managing. How these issues are typically solved
- 13. Page13 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Real-time Data Flow It’s not just how quickly you move data – it’s about how quickly you can change behavior and seize new opportunities
- 14. Page14 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Introducing Apache NiFi • Guaranteed delivery • Data buffering - Backpressure - Pressure release • Prioritized queuing • Flow specific QoS - Latency vs. throughput - Loss tolerance • Data provenance • Recovery/recording a rolling log of fine- grained history • Visual command and control • Flow templates • Pluggable/multi-role security • Designed for extension • Clustering
- 15. Page15 © Hortonworks Inc. 2011 – 2015. All Rights Reserved November 2014 NiFi is donated to the Apache Software Foundation (ASF) through NSA’s Technology Transfer Program and enters ASF’s incubator. 2006 NiagaraFiles (NiFi) was first incepted by Joe Witt at the National Security Agency (NSA) A Brief History July 2015 NiFi reaches ASF top-level project status
- 16. Page16 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Flow Based Programming (FBP) FBP Term NiFi Term Description Information Packet FlowFile Each object moving through the system. Black Box FlowFile Processor Performs the work, doing some combination of data routing, transformation, or mediation between systems. Bounded Buffer Connection The linkage between processors, acting as queues and allowing various processes to interact at differing rates. Scheduler Flow Controller Maintains the knowledge of how processes are connected, and manages the threads and allocations thereof which all processes use. Subnet Process Group A set of processes and their connections, which can receive and send data via ports. A process group allows creation of entirely new component simply by composition of its components.
- 17. Page17 © Hortonworks Inc. 2011 – 2015. All Rights Reserved OS/Host JVM Flow Controller Web Server Processor 1 Extension N FlowFile Repository Content Repository Provenance Repository Local Storage OS/Host JVM Flow Controller Web Server Processor 1 Extension N FlowFile Repository Content Repository Provenance Repository Local Storage Architecture OS/Host JVM NiFi Cluster Manager – Request Replicator Web Server Master NiFi Cluster Manager (NCM) OS/Host JVM Flow Controller Web Server Processor 1 Extension N FlowFile Repository Content Repository Provenance Repository Local Storage Slaves NiFi Nodes
- 18. Page18 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Live Demonstration
- 19. Page19 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Learn more and join us! Apache NiFi site http://nifi.apache.org Subscribe to and collaborate at dev@nifi.apache.org users@nifi.apache.org Submit Ideas or Issues https://issues.apache.org/jira/browse/NIFI Follow us on Twitter @apachenifi
- 20. Page20 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Thank you!