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Mission to NARs with Apache NiFi
1.
1 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Mission to NARs with Apache NiFi Aldrin Piri - @aldrinpiri ApacheCon Big Data 2016 12 May 2016
2.
2 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Tutorial Resources https://github.com/apiri/nifi-mission-to-nars-workshop
3.
3 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Agenda • Start with a dataflow… but we can do better! • Do better with the NiFi Framework and custom processor • Extension Points: Processors, Controller Services, Reporting Tasks • Process Session & Process Context • How the API ties to the NiFi repositories • Testing isn’t that bad! • Share with templates!
4.
4 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Adding new functionality and development approach Extending the platform is about leveraging expansive Java ecosystem and existing code – Make use of open source projects and provided libraries for targeted systems and services – Reuse existing, proprietary or closed source libraries and wrap their functionality in the framework Test framework provides powerful means of testing extensions in isolation as they would work in a live instance Deployment is as simple as copying the created NAR to your instance(s) lib directory
5.
5 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Minimal Dependencies Needed Java Development Kit, version 1.7 or later Maven, version 3.1.0+
6.
6 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Boilerplate Code is provided via Maven Archetype Support for creating bundles of major extension points of Processors and Controller Services – Processor Bundle – Controller Service Bundle
7.
7 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved What is a NAR? – Bundles the developed code to provide extensions and their dependencies – Allows extension classloader isolation, aiding in versioning issues that can be pervasive in interacting with a wide variety of systems, services, and formats NAR == NiFi ARchive Consider it to be an OSGi-lite package NAR Bundle Structure
8.
8 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved How long does it take to create an extension? Incorporating functionality from an existing library – Create a bundle – Include a dependency to the library – Design User Experience • Properties – How can this extension be configured? What are valid values for user input? • Relationships – How will data move to the next stage of its processing? – Wrap the core classes of the library in the framework and implement onTrigger • ProcessSession abstracts interactions with backing repositories and handles unit-of-work sessions • ProcessContext allows accessing defined properties which the framework has validated – Test – Deploy For the majority of cases, development time is measured in hours*
9.
9 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved How long does it really take to create an extension? Increased development effort may be needed for handling specific protocols – Driven through manual management of sessions, when there are resources with their own lifecycles beyond the sole onTrigger method – Common for protocol “Listeners” For the majority of cases, development time is still measured in hours
10.
10 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Behind the Scenes
11.
11 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Architecture
12.
12 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved NiFi Architecture – Repositories - Pass by reference FlowFile Content Provenance F1 C1 C1 P1 F1 BEFORE AFTER F2 C1 C1 P3 F2 – Clone (F1) F1 C1 P2 F1 – Route P1 F1 – Create
13.
13 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved NiFi Architecture – Repositories – Copy on Write FlowFile Content Provenance F1 C1 C1 P1 F1 - CREATE BEFORE AFTER F1 C1 F1.1 C2 C2 (encrypted) C1 (plaintext) P2 F1.1 - MODIFY P1 F1 - CREATE
14.
14 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Quick (and dirty?) Prototyping
15.
15 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Prototype Dataflows Using Existing Binaries/Applications ExecuteProcess – Acts as a source processor, creating FlowFiles containing data written to STDOUT by the target application ExecuteStreamCommand – Provides content of FlowFiles to an external application via STDIN and creates FlowFiles containing data written STDOUT Processors allow making external calls to applications and programs outside of the JVM
16.
16 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Increased Flexibility of Prototyping via Scripting Languages ExecuteScript– Acts as a source processor, creating FlowFiles containing data from a referenced Script InvokeScriptedProcessor – Provides access to the core framework API for interacting with NiFi like a native Java processor Processors allow using JVM friendly interpreted languages
17.
17 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Resources Developer Guide – http://nifi.apache.org/developer-guide.html Apache NiFi Maven Archetypes – https://cwiki.apache.org/confluence/display/NIFI/Maven+Proj ects+for+Extensions Mission to NARs with Apache NiFi sample bundle – https://github.com/apiri/nifi-mission-to-nars-workshop
18.
18 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Thanks for hanging out!
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