1 / 15

NiFi

This presentation attempts to give an overview of the Apache NiFi flow management system currently included in Cloudera's CDF product. <br> <br><br><br>Links for further information and connecting<br><br>http://www.semtech-solutions.co.nz<br><br>http://www.amazon.com/Michael-Frampton/e/B00NIQDOOM/<br><br>https://nz.linkedin.com/pub/mike-frampton/20/630/385<br><br><br>Music by <br><br>"Little Planet", composed and performed by Bensound from http://www.bensound.com/

semtechs
Télécharger la présentation

NiFi

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. What Is NiFi ? ● A data flow automation system maintained by Cloudera ● Written in Java ● Apache 2 License ● Cluster based and scaleable ● Has web based user interface ● Widely extendable ● Offers data flow monitoring

  2. NiFi History ● Based on NiagaraFiles, developed by NSA ● Open sourced by NSA in 2014 ● Commercialised by Onyara Inc ● Purchased by HortonWorks in 2015 ● HortonWorks merged into Cloudera in 2018 ● Cloudera plans full open source path

  3. How does Nifi work ? ● NiFi runs in JVM on servers in cluster ● Uses ZooKeeper for configuration/coordination – One node as a Cluster Coordinator – One node as a primary ● JVM encapsulates – Web server – Processor / Extensions – Repositories for ●FlowFile / Content / Data Provenance

  4. Nifi Architecture 1

  5. Nifi Architecture 2 ● Web Server for monitoring and administration ● Flow controller manages extensions and resources ● FlowFile processor 1 .. N – actual data flow worker – Each processor supports NiFi data flow ● Extensions allow remote system connectivity – Can be user defined ● FlowFile Repo – tracks and maintains current flows ● Content Repo – maintains data in transit ● Provenance Repo – historic data flow information

  6. Nifi Performance ● NiFi server RAM limited by JVM memory settings ● Garbage collection rate important ● Nifi.properties file for performance config i.e. – nifi.ui.autorefresh.interval (browser performance) – nifi.queue.swap.threshold (use of swap) – nifi.provenance.repository.index.threads ●Change for high volume threads – nifi.provenance.repository.implementation ●WriteAheadProvenance might cause Java garbage collection issues

  7. NiFi Flow Management ● Guaranteed data delivery ● Uses write ahead logs and content repositories ● Queue buffering / back pressure ● Queue priority configuration ● Flow configuration ( latency / throughput ) ● UI based data flow builds ● UI based data flow monitoring ● UI based data provenance

  8. NiFi Ease Of Use 1 ● Visually create dataFlows in real time ● Changes take immediate effect ● Use flow templates for existing flow types ● Data provenance for – Problem tracking – Data compliance issues – Step through historic data transforms ● Fine grained data investigation using UI & repositories

  9. NiFi Ease Of Use – User Interface

  10. NiFi Ease Of Use – Example Flow

  11. NiFi Security ● DataFlow based encryption / decryption ● 2 way SSL ● User access control ● Pluggable / extendable authorization possible ● DataFlow level authorization supports – Flow level component access – Supports multi tenant access / sharing – Even multi tenant support within a flow

  12. NiFi Extensible / Scaleable ● Many NiFi points of extension – Processors, Controller Services, Reporting Tasks – Prioritizers, Customer User Interfaces ● NiFi S2S interface for distributed communication ● Extension conflicts avoided using NiFi Archives ● Scale out NiFi cluster instances ● Scale NiFi concurrent tasks up and down

  13. NiFi Further information ● For further information see – https://nifi.apache.org – https://en.wikipedia.org/wiki/Apache_NiFi – http://vision.cloudera.com/cloudera-dataflow/ I included the Cloudera link because CDF now uses NiFi for edge data and flow management.

  14. Available Books ● See “Big Data Made Easy” Apress Jan 2015 – ●See “Mastering Apache Spark” Packt Oct 2015 – ●See “Complete Guide to Open Source Big Data Stack “Apress Jan 2018” – ● Find the author on Amazon www.amazon.com/Michael-Frampton/e/B00NIQDOOM/ – ●Connect on LinkedIn nz.linkedin.com/pub/mike-frampton/20/630/385 –

  15. Contact Us ● Feel free to contact at – info@semtech-solutions.co.nz ● Or connect on LinkedIn ● Im always interested in – New technology – Opportunities – Technology based issues – Big data integration

More Related