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Dataflow with Apache NiFiAldrin Piri - @aldrinpiriApache NiFi MeetupHadoop Summit – San Jose
27 June 2016
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Slides available at the conclusion of the talk:http://slideshare.net/aldrinpiri/
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Key: 'Apache NiFi’ Value: 'PMC Member'Key: 'Work’ Value: ’Sr. Member of Technical Staff @ Hortonworks'Key: 'Working with NiFi Since’ Value: '2010’
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AgendaWhat is dataflow and what are the challenges?
Apache NiFi
Architecture
Live Demo
Community
5 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
AgendaWhat is dataflow and what are the challenges?
Apache NiFi
Architecture
Live Demo
Community
6 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Let’s Connect A to BProducers A.K.A Things
AnythingAND
Everything
Internet!
Consumers• User• Storage• System• …More Things
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Moving data effectively is hard
Standards: http://xkcd.com/927/
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Why is moving data effectively hard?
Standards Formats “Exactly Once” Delivery Protocols Veracity of Information Validity of Information Ensuring Security Overcoming Security
Compliance Schemas Consumers Change Credential Management “That [person|team|group]” Network “Exactly Once” Delivery
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Let’s Connect Lots of As to Bs to As to Cs to Bs to Δs to Cs to ϕsLet’s consider the needs of a courier service
Physical Store
Gateway Server
Mobile Devices
Registers
Server Cluster
Distribution Center Core Data Center at HQ
Server Cluster
On Delivery Routes
Trucks Deliverers
Delivery Truck: Creative Stall, https://thenounproject.com/creativestall/Deliverer: Rigo Peter, https://thenounproject.com/rigo/Cash Register: Sergey Patutin, https://thenounproject.com/bdesign.by/Hand Scanner: Eric Pearson, https://thenounproject.com/epearson001/
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Great! I am collecting all this data! Let’s use it!Finding our needles in the haystack
Physical Store
Gateway Server
Mobile Devices
Registers
Server Cluster
Distribution Center
Kafka
Core Data Center at HQ
Server Cluster
Others
Storm / Spark / Flink / Apex
Kafka
Storm / Spark / Flink / Apex
On Delivery Routes
Trucks Deliverers
Delivery Truck: Creative Stall, https://thenounproject.com/creativestall/Deliverer: Rigo Peter, https://thenounproject.com/rigo/Cash Register: Sergey Patutin, https://thenounproject.com/bdesign.by/Hand Scanner: Eric Pearson, https://thenounproject.com/epearson001/
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Why is moving data effectively hard when scoped internally?
Standards Formats “Exactly Once” Delivery Protocols Veracity of Information Validity of Information Ensuring Security Overcoming Security
Compliance Schemas Consumers Change Credential Management “That [person|team|group]” Network “Exactly Once” Delivery
12 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Let’s Connect Lots of As to Bs to As to Cs to Bs to Δs to Cs to ϕsOh, that courier service is global
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Why is moving data effectively hard when scoped globally?
Standards Formats “Exactly Once” Delivery Protocols Veracity of Information Validity of Information Ensuring Security Overcoming Security
Compliance Schemas Consumers Change Credential Management “That [person|team|group]” Network “Exactly Once” Delivery
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The Unassuming Line: A Case StudyWe’ve seen a few lines show up in the wild thus far
Internet! Inter- & Intra- connections inour global courier enterprise
Spotlight: Arthur Lacôte, https://thenounproject.com/turo/
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Dataflow Line Anatomy 101Let’s dissect what this line typically represents
Fig 1. Lineus Worldwidewebus. Common Name: Internet!
Script or Application
Script or Application
Data Data
Disparate TransportMechanisms
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Dataflow Line Anatomy 201Sometimes that transport is just more lines
Fig 1. Lineus Worldwidewebus. Common Name: Internet!
Script or Application
Script or Application
Line Inception
Data Data
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Dataflow Line Anatomy 301But those lines could also have components…
Fig 1. Lineus Worldwidewebus. Common Name: Internet! Fig 2. Good Recursion Joke
NoSuchJokeException
footage not found
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AgendaWhat is dataflow and what are the challenges?
Apache NiFi
Architecture
Live Demo
Community
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Apache NiFiKey Features
• Guaranteed delivery• Data buffering
- Backpressure- Pressure release
• Prioritized queuing• Flow specific QoS
- Latency vs. throughput- Loss tolerance
• Data provenance• Supports push and pull
models
• Recovery/recording a rolling log of fine-grained history
• Visual command and control
• Flow templates• Pluggable/multi-role
security• Designed for extension• Clustering
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Apache NiFi Subproject: MiNiFi
Let me get the key parts of NiFi close to where data begins and provide bidrectional communication
NiFi lives in the data center. Give it an enterprise server or a cluster of them. MiNiFi lives as close to where data is born and is a guest on that device or system
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Let’s revisit our courier service from the perspective of NiFi
Physical Store
Gateway Server
Mobile Devices
Registers
Server Cluster
Distribution Center
Kafka
Core Data Center at HQ
Server Cluster
Others
Storm / Spark / Flink / Apex
Kafka
Storm / Spark / Flink / Apex
On Delivery Routes
Trucks Deliverers
Delivery Truck: Creative Stall, https://thenounproject.com/creativestall/Deliverer: Rigo Peter, https://thenounproject.com/rigo/Cash Register: Sergey Patutin, https://thenounproject.com/bdesign.by/Hand Scanner: Eric Pearson, https://thenounproject.com/epearson001/
Client Libraries
Client Libraries
MiNiFi
MiNiFiNiFi NiFi NiFi NiFi NiFi NiFi
Client Libraries
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Apache NiFi Managed DataflowSOURCES REGIONAL
INFRASTRUCTURECORE
INFRASTRUCTURE
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NiFi is based on Flow Based Programming (FBP)FBP Term NiFi Term DescriptionInformation 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.
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FlowFiles & Data Agnosticism
NiFi is data agnostic! But, NiFi was designed understanding that users
can care about specifics and provides tooling
to interact with specific formats, protocols, etc.
ISO 8601 - http://xkcd.com/1179/
Robustness principle
Be conservative in what you do, be liberal in what you accept from others“
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FlowFiles are like HTTP dataHTTP Data FlowFile
HTTP/1.1 200 OKDate: Sun, 10 Oct 2010 23:26:07 GMTServer: Apache/2.2.8 (CentOS) OpenSSL/0.9.8gLast-Modified: Sun, 26 Sep 2010 22:04:35 GMTETag: "45b6-834-49130cc1182c0"Accept-Ranges: bytesContent-Length: 13Connection: closeContent-Type: text/html
Hello world!
Standard FlowFile AttributesKey: 'entryDate’ Value: 'Fri Jun 17 17:15:04 EDT 2016'Key: 'lineageStartDate’ Value: 'Fri Jun 17 17:15:04 EDT 2016'Key: 'fileSize’ Value: '23609'FlowFile Attribute Map ContentKey: 'filename’Value: '15650246997242'Key: 'path’ Value: './’
Binary Content *
Header
Content
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AgendaWhat is dataflow and what are the challenges?
Apache NiFi
Architecture
Live Demo
Community
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OS/Host
JVM
Flow Controller
Web Server
Processor 1 Extension N
FlowFileRepository
ContentRepository
ProvenanceRepository
Local Storage
OS/Host
JVM
Flow Controller
Web Server
Processor 1 Extension N
FlowFileRepository
ContentRepository
ProvenanceRepository
Local Storage
Architecture
OS/Host
JVM
Flow Controller
Web Server
Processor 1 Extension N
FlowFileRepository
ContentRepository
ProvenanceRepository
Local Storage
OS/Host
JVM
NiFi Cluster Manger – Request Replicator
Web Server
MasterNiFi Cluster Manager (NCM)
OS/Host
JVM
Flow Controller
Web Server
Processor 1 Extension N
FlowFileRepository
ContentRepository
ProvenanceRepository
Local Storage
SlavesNiFi Nodes
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NiFi Architecture – Repositories - Pass by reference
FlowFile Content Provenance
F1 C1 C1 P1 F1
Excerpt of demo flow… What’s happening inside the repositories…
BEFORE
AFTER
F2 C1 C1 P3 F2 – Clone (F1)
F1 C1 P2 F1 – Route
P1 F1 – Create
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NiFi Architecture – Repositories – Copy on Write
FlowFile Content Provenance
F1 C1 C1 P1 F1 - CREATE
Excerpt of demo flow… What’s happening inside the repositories…
BEFORE
AFTER
F1 C1
F1.1 C2C2 (encrypted)
C1 (plaintext)
P2 F1.1 - MODIFY
P1 F1 - CREATE
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AgendaWhat is dataflow and what are the challenges?
Apache NiFi
Architecture
Demo
Community
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Learn, Share at Birds of a Feather Streaming, DataFlow & Cybersecurity
Thursday June 306:30 pm, Ballroom C
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Thank You
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AgendaWhat is dataflow and what are the challenges?
Apache NiFi
Architecture
Demo
Community
34 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Matured at NSA 2006-2014
Brief history of the Apache NiFi Community
• Contributors from Government and several commercial industries
• Releases on a 6-8 week schedule
• Apache NiFi 1.0.0. release on the horizon• Zero-Master Clustering
Code developed at NSA
2006
Today
Achieved TLP
status in just 7 months
July 2015
Code available open source
ASL v2
November 2014
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Extension / Integration PointsNiFi Term DescriptionFlow File Processor
Push/Pull behavior. Custom UI
Reporting Task
Used to push data from NiFi to some external service (metrics, provenance, etc..)
Controller Service
Used to enable reusable components / shared services throughout the flow
REST API Allows clients to connect to pull information, change behavior, etc..
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Learn more and join us!
Apache NiFi sitehttp://nifi.apache.org
Subproject MiNiFi sitehttp://nifi.apache.org/minifi/
Subscribe to and collaborate [email protected]@nifi.apache.org
Submit Ideas or Issueshttps://issues.apache.org/jira/browse/NIFI
Follow us on Twitter@apachenifi