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Apache NiFi Crash
Course Intro
Joe Percivall - @JPercivall
Hadoop Summit – Melbourne
1 Sept 2016
2 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
About Me
• Software Engineer at Hortonworks
• Apache NiFi committer and PMC member
• Github: github.com/JPercivall
3 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Agenda
What is dataflow and what are the challenges?
Apache NiFi
Architecture
Live Demo
Community
4 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Agenda
What is dataflow and what are the challenges?
Apache NiFi
Architecture
Live Demo
Community
5 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Let’s Connect A to B
Producers A.K.A Things
Anything
AND
Everything
Internet!
Consumers
• User
• Storage
• System
• …More Things
6 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Moving data effectively is hard
Standards: http://xkcd.com/927/
7 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
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
8 © 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 ϕs
Let’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/
9 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
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/
10 © 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 ϕs
Oh, that courier service is global
11 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Agenda
What is dataflow and what are the challenges?
Apache NiFi
Architecture
Live Demo
Community
12 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
• Web-based User Interface for creating, monitoring,
& controlling data flows
• Directed graphs of data routing and transformation
• Highly configurable - modify data flow at runtime,
dynamically prioritize data
• Easily extensible through development of custom
components
• Data Provenance tracks data through entire system
[1] https://nifi.apache.org/
Dataflow
Apache NiFi
13 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Apache NiFi
Key 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
14 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Revisit: Courier service from the perspective of NiFi
Physical Store
Gateway
Server
Mobile Devices
Registers
Server Cluster
Distribution Center Core Data Center at HQ
Server Cluster
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/
NiFi NiFi NiFi NiFi NiFi NiFi
On Delivery Routes
15 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Courier service from the perspective of NiFi & MiNiFi
Physical Store
Gateway
Server
Mobile Devices
Registers
Server Cluster
Distribution Center Core Data Center at HQ
Server Cluster
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
MiNiFi
NiFi NiFi NiFi NiFi NiFi NiFi
Client
Libraries
On Delivery Routes
16 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Apache NiFi MiNiFi
Key Features
• 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
• Designed for extension
• Design and Deploy
• Warm re-deploys
17 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Apache NiFi MiNiFi
Key Features
• 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
• Designed for extension
• Design and Deploy
• Warm re-deploys
18 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Visual Command and Control
vs.
Design and Deploy
19 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Apache NiFi Managed Dataflow
SOURCES
REGIONAL
INFRASTRUCTURE
CORE
INFRASTRUCTURE
20 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
NiFi is based on 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.
21 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
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“
22 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
FlowFiles are like HTTP data
HTTP Data FlowFile
HTTP/1.1 200 OK
Date: Sun, 10 Oct 2010 23:26:07 GMT
Server: Apache/2.2.8 (CentOS) OpenSSL/0.9.8g
Last-Modified: Sun, 26 Sep 2010 22:04:35 GMT
ETag: "45b6-834-49130cc1182c0"
Accept-Ranges: bytes
Content-Length: 13
Connection: close
Content-Type: text/html
Hello world!
Standard FlowFile Attributes
Key: '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 Content
Key: 'filename’ Value: '15650246997242'
Key: 'path’ Value: './’
Binary Content *
Header
Content
23 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Agenda
What is dataflow and what are the challenges?
Apache NiFi
Architecture
Live Demo
Community
24 © Hortonworks Inc. 2011 – 2016. 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
NiFi Architecture 0.x line OS/Host
JVM
NiFi Cluster Manger – 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
25 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
NiFi Architecture 1.x line
26 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
NiFi Architecture 1.x line
27 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
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
28 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
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 C2 C2 (encrypted)
C1 (plaintext)
P2 F1.1 - MODIFY
P1 F1 - CREATE
29 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
NiFi vs MiNiFi Java Processes
NiFi Framework
Components
MiNiFi
NiFi Framework
User Interface
Components
NiFi
30 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
NiFi Java Processes
Bootstrap
NiFi
UI
bootstrap.conf
nifi.properties
flow.xml.gzreads &
modifies
reads
reads
starts
NiFi MiNiFi
31 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
MiNiFi Java Processes
MiNiFi
Bootstrap
Configuration
Change Notifier(s)
bootstrap.conf
nifi.properties
flow.xml.gz
reads
reads
starts
config.ymltransforms
reads
into
NiFi MiNiFi
32 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Simple Config.yml
Tail a rolling file -> Site to Site
33 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Config Change Notifiers
 Two implementations
– RestChangeNotifier
• Http(s)
– FileChangeNotifier
 Configured in bootstrap.conf
34 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Change notifier update
MiNiFi
Bootstrap
Configuration
Change Notifiers
1. Initial state
–Both running
35 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Change notifier update
MiNiFi
Bootstrap
Configuration
Change Notifiers
user creates new configuration
2. User sends update through
notifier
–HTTP(S) post request
–Change watched file
36 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Change notifier update
MiNiFi
Bootstrap
Configuration
Change Notifiers
3. Bootstrap validation
–Basic validation
–Rest notifier will respond
accordingly
–Results logged
validate new configuration
user creates new configuration
37 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Change notifier update
MiNiFi
Bootstrap
Configuration
Change Notifiers
config.yml
saves new
4. Bootstrap saves and
transforms
–Copy old config.yml to a
swap file
validate new configuration
user creates new configuration
nifi.properties
flow.xml.gz
transforms into
38 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Change notifier update
MiNiFi
Bootstrap
Configuration
Change Notifiers
nifi.properties
flow.xml.gz
attempt restart
config.yml
saves new
reads
transforms into
5. Bootstrap attempts restart
–MiNiFi reads in the new
nifi.properties and
flow.xml.gz
validate new configuration
user creates new configuration
39 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Change notifier update
6. Success or Fail
–Successful restart continue
processing
–Failure, rollback to old
config
–Existing Data is mapped or
orphaned
MiNiFi
Bootstrap
Configuration
Change Notifiers
nifi.properties
flow.xml.gz
attempt restart
config.yml
saves new
reads
transforms into
validate new configuration
user creates new configuration
40 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Agenda
What is dataflow and what are the challenges?
Apache NiFi
Architecture
Demo
Community
41 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Agenda
What is dataflow and what are the challenges?
Apache NiFi
Architecture
Demo
Community
42 © 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
Code developed
at NSA
2006
Today
Achieved TLP
status in just
7 months
July 2015
Code available
open source
ASL v2
November 2014
43 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
MiNiFi Prospective Plans - Centralized Command and Control
 Design at a centralized place, deploy on the edge
– Flow deployment
– NAR deployment
– Agent deployment
 Version control of flows
 Agent status monitoring
 Bi-directional command and control
Centralized management console with a UI
44 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Hortonworks Dataflow
Ingestion
Simple Event Processing
Engine
Stream Processing
DestinationData Bus
45 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Questions?
46 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Learn more and join us!
Apache NiFi site
http://nifi.apache.org
Subproject MiNiFi site
http://nifi.apache.org/minifi/
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
47 © Hortonworks Inc. 2011 – 2016. All Rights Reserved
Thank you!

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Apache NiFi Crash Course Intro

  • 1. Apache NiFi Crash Course Intro Joe Percivall - @JPercivall Hadoop Summit – Melbourne 1 Sept 2016
  • 2. 2 © Hortonworks Inc. 2011 – 2016. All Rights Reserved About Me • Software Engineer at Hortonworks • Apache NiFi committer and PMC member • Github: github.com/JPercivall
  • 3. 3 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Agenda What is dataflow and what are the challenges? Apache NiFi Architecture Live Demo Community
  • 4. 4 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Agenda What is dataflow and what are the challenges? Apache NiFi Architecture Live Demo Community
  • 5. 5 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Let’s Connect A to B Producers A.K.A Things Anything AND Everything Internet! Consumers • User • Storage • System • …More Things
  • 6. 6 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Moving data effectively is hard Standards: http://xkcd.com/927/
  • 7. 7 © Hortonworks Inc. 2011 – 2016. All Rights Reserved 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
  • 8. 8 © 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 ϕs Let’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/
  • 9. 9 © Hortonworks Inc. 2011 – 2016. All Rights Reserved 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/
  • 10. 10 © 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 ϕs Oh, that courier service is global
  • 11. 11 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Agenda What is dataflow and what are the challenges? Apache NiFi Architecture Live Demo Community
  • 12. 12 © Hortonworks Inc. 2011 – 2016. All Rights Reserved • Web-based User Interface for creating, monitoring, & controlling data flows • Directed graphs of data routing and transformation • Highly configurable - modify data flow at runtime, dynamically prioritize data • Easily extensible through development of custom components • Data Provenance tracks data through entire system [1] https://nifi.apache.org/ Dataflow Apache NiFi
  • 13. 13 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Apache NiFi Key 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
  • 14. 14 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Revisit: Courier service from the perspective of NiFi Physical Store Gateway Server Mobile Devices Registers Server Cluster Distribution Center Core Data Center at HQ Server Cluster 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/ NiFi NiFi NiFi NiFi NiFi NiFi On Delivery Routes
  • 15. 15 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Courier service from the perspective of NiFi & MiNiFi Physical Store Gateway Server Mobile Devices Registers Server Cluster Distribution Center Core Data Center at HQ Server Cluster 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 MiNiFi NiFi NiFi NiFi NiFi NiFi NiFi Client Libraries On Delivery Routes
  • 16. 16 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Apache NiFi MiNiFi Key Features • 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 • Designed for extension • Design and Deploy • Warm re-deploys
  • 17. 17 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Apache NiFi MiNiFi Key Features • 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 • Designed for extension • Design and Deploy • Warm re-deploys
  • 18. 18 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Visual Command and Control vs. Design and Deploy
  • 19. 19 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Apache NiFi Managed Dataflow SOURCES REGIONAL INFRASTRUCTURE CORE INFRASTRUCTURE
  • 20. 20 © Hortonworks Inc. 2011 – 2016. All Rights Reserved NiFi is based on 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.
  • 21. 21 © Hortonworks Inc. 2011 – 2016. All Rights Reserved 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“
  • 22. 22 © Hortonworks Inc. 2011 – 2016. All Rights Reserved FlowFiles are like HTTP data HTTP Data FlowFile HTTP/1.1 200 OK Date: Sun, 10 Oct 2010 23:26:07 GMT Server: Apache/2.2.8 (CentOS) OpenSSL/0.9.8g Last-Modified: Sun, 26 Sep 2010 22:04:35 GMT ETag: "45b6-834-49130cc1182c0" Accept-Ranges: bytes Content-Length: 13 Connection: close Content-Type: text/html Hello world! Standard FlowFile Attributes Key: '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 Content Key: 'filename’ Value: '15650246997242' Key: 'path’ Value: './’ Binary Content * Header Content
  • 23. 23 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Agenda What is dataflow and what are the challenges? Apache NiFi Architecture Live Demo Community
  • 24. 24 © Hortonworks Inc. 2011 – 2016. 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 NiFi Architecture 0.x line OS/Host JVM NiFi Cluster Manger – 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
  • 25. 25 © Hortonworks Inc. 2011 – 2016. All Rights Reserved NiFi Architecture 1.x line
  • 26. 26 © Hortonworks Inc. 2011 – 2016. All Rights Reserved NiFi Architecture 1.x line
  • 27. 27 © Hortonworks Inc. 2011 – 2016. All Rights Reserved 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
  • 28. 28 © Hortonworks Inc. 2011 – 2016. All Rights Reserved 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 C2 C2 (encrypted) C1 (plaintext) P2 F1.1 - MODIFY P1 F1 - CREATE
  • 29. 29 © Hortonworks Inc. 2011 – 2016. All Rights Reserved NiFi vs MiNiFi Java Processes NiFi Framework Components MiNiFi NiFi Framework User Interface Components NiFi
  • 30. 30 © Hortonworks Inc. 2011 – 2016. All Rights Reserved NiFi Java Processes Bootstrap NiFi UI bootstrap.conf nifi.properties flow.xml.gzreads & modifies reads reads starts NiFi MiNiFi
  • 31. 31 © Hortonworks Inc. 2011 – 2016. All Rights Reserved MiNiFi Java Processes MiNiFi Bootstrap Configuration Change Notifier(s) bootstrap.conf nifi.properties flow.xml.gz reads reads starts config.ymltransforms reads into NiFi MiNiFi
  • 32. 32 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Simple Config.yml Tail a rolling file -> Site to Site
  • 33. 33 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Config Change Notifiers  Two implementations – RestChangeNotifier • Http(s) – FileChangeNotifier  Configured in bootstrap.conf
  • 34. 34 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Change notifier update MiNiFi Bootstrap Configuration Change Notifiers 1. Initial state –Both running
  • 35. 35 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Change notifier update MiNiFi Bootstrap Configuration Change Notifiers user creates new configuration 2. User sends update through notifier –HTTP(S) post request –Change watched file
  • 36. 36 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Change notifier update MiNiFi Bootstrap Configuration Change Notifiers 3. Bootstrap validation –Basic validation –Rest notifier will respond accordingly –Results logged validate new configuration user creates new configuration
  • 37. 37 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Change notifier update MiNiFi Bootstrap Configuration Change Notifiers config.yml saves new 4. Bootstrap saves and transforms –Copy old config.yml to a swap file validate new configuration user creates new configuration nifi.properties flow.xml.gz transforms into
  • 38. 38 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Change notifier update MiNiFi Bootstrap Configuration Change Notifiers nifi.properties flow.xml.gz attempt restart config.yml saves new reads transforms into 5. Bootstrap attempts restart –MiNiFi reads in the new nifi.properties and flow.xml.gz validate new configuration user creates new configuration
  • 39. 39 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Change notifier update 6. Success or Fail –Successful restart continue processing –Failure, rollback to old config –Existing Data is mapped or orphaned MiNiFi Bootstrap Configuration Change Notifiers nifi.properties flow.xml.gz attempt restart config.yml saves new reads transforms into validate new configuration user creates new configuration
  • 40. 40 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Agenda What is dataflow and what are the challenges? Apache NiFi Architecture Demo Community
  • 41. 41 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Agenda What is dataflow and what are the challenges? Apache NiFi Architecture Demo Community
  • 42. 42 © 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 Code developed at NSA 2006 Today Achieved TLP status in just 7 months July 2015 Code available open source ASL v2 November 2014
  • 43. 43 © Hortonworks Inc. 2011 – 2016. All Rights Reserved MiNiFi Prospective Plans - Centralized Command and Control  Design at a centralized place, deploy on the edge – Flow deployment – NAR deployment – Agent deployment  Version control of flows  Agent status monitoring  Bi-directional command and control Centralized management console with a UI
  • 44. 44 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Hortonworks Dataflow Ingestion Simple Event Processing Engine Stream Processing DestinationData Bus
  • 45. 45 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Questions?
  • 46. 46 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Learn more and join us! Apache NiFi site http://nifi.apache.org Subproject MiNiFi site http://nifi.apache.org/minifi/ 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
  • 47. 47 © Hortonworks Inc. 2011 – 2016. All Rights Reserved Thank you!

Editor's Notes

  1. 170 different actions bundled by default
  2. Can put NiFi on a Gateway server but probably don’t want to mess with a UI on ever single one Maybe not best fit
  3. 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 close to where data is born and may be a guest on that device or system
  4. Introduce the architecture of NiFi, describe major system components, and describe the single node and clustering models.
  5. Framework – put a new wrapper on the framework, or in maven terms, we kept the underlying modules and wrote minifi-framework-core replacing nifi-framework-core Talking about MiNiFi-Java, Cpp version also exists
  6. Initiates with ./bin/nifi.sh start
  7. user, only need bootstrap and config.yml nifi.properties and flow.xml are implementation details
  8. 1 of the main differences with NiFi Warm Redeploys
  9. Think NiFi Process Groups but MiNiFi Agents
  10. Kafka Reads events in memory and write to  distributed log