Running Kafka and Spark on Raspberry PI with Azure and some .net magic
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IoT scenarios necessarily pass through the Edge component and the Raspberry PI is a great way to explore this world. If we need to receive IoT events from sensors, how do I implement an MQTT endpoint? Kafka is a clever way to do this. And how do I process the data in Kafka? Spark is another clever way of doing this. How do we write custom code for these environments? .NET, now in version 6 is another clever way to do it! And maybe, we also communicate with Azure. We'll see in this session if we can make it all work!
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Running Kafka and Spark on Raspberry PI with Azure and some .net magic
- 1. 1 TOPIC Running Kafka and Spark on Raspberry PI with Azure and some .NET magic Marco Parenzan
- 2. 2 Thanks to our partners
- 3. Senior Solution Architect in beanTech Microsoft Azure MVP Community Lead 1nn0va // Pordenone 1nn0va After Hour (ogni martedì sera alle 21) https://www.youtube.com/c/Community1nn0va Linkedin: https://www.linkedin.com/in/marcoparenzan/ Marco Parenzan
- 6. 6 .NET for data(science) • .NET Spark • .NET Interactive (notebooks) • Azure Synapse Analytics • ML.NET… All good for IoT scenarios!
- 7. 7 .NET for ARM/edge .NET (Core) Jeff Geerling (You Tube)
- 8. 8 More ARM
- 9. ““Questo matrimonio non s’ha da fare…”
- 11. 11 Edge Scenario IoT Edge…quale è lo scenario equivalente OpenSource? Non voglio usare i container…voglio sfruttare una rete di rpi
- 12. 12 Apache Kafka and Apache Spark
- 13. 13 VNET The complete vision Edge00 PI3B+ Device(GPIO) Edge01 PI400/4 Kafka Edge02 PI4/4 Spark Edge99 IoTHub Nano00 ESP32WROOM Device//GPIO TP-LINK MR6400 4G Edge03 PI3B+ (MQTT Broker) VPN Private Network? Azure Edge 192.168.2.100 192.168.2.101 192.168.2.102 192.168.2.103
- 14. 14
- 15. 15
- 16. 16
- 17. 17 Enabled SSH and VNC DHCP with MAC reservation Issues: - networking: PI does not broadcast its name out of the box(?!?!?!) - Samba/NFS/… - Reaching (issues with Windows 10)
- 18. 18 Install .NET 6.0 on Raspberry PI Download https://dotnet.microsoft.com/download/dotnet/thank- you/sdk-6.0.100-rc.1-linux-arm32-binaries sudo mkdir -p $HOME/.dotnet sudo tar zxf dotnet-sdk-3.1.100-linux-arm.tar.gz -C $HOME/.dotnet echo 'export DOTNET_ROOT=$HOME/.dotnet' >> ~/.bashrc echo 'export PATH=$PATH:$HOME/.dotnet' >> ~/.bashrc source ~/.bashrc • On edge00 and edge03 (edge02 has 3.1 for .net spark) https://docs.microsoft.com/en-us/dotnet/iot/deployment
- 19. 19 Visual Studio Code It works! • And install VSCode (https://code.visualstudio.com/docs/setup/raspberry-pi) • sudo apt update • sudo apt install code • But...
- 20. 20 Minimal Visual Studio 2019 for NanoFramework in the 2022 era
- 21. 21 No Containers? • Not using containers • More simple manipulation of config files • Images not ready for ARM
- 22. 22 The scenario WordCount as a Sample (WCaaS ) Wordsignal, command, event (vote?) 19 can become «event1»..»event9» In device terms: a button on digital input for each «word»
- 23. 23 Edge00: PI3B+ device gw Produce events Send to Kafka Issues: • Kafka written in Java • But std .NET package uses native libkafka (C++) from Confluent that is available only for x86 • Require rebuilding (not found a ready rebuild) • Used a native implementation (not maintained) • Not tested on ARM • Not clean working • MQTT listener on kafka does not exist (only plugins controlled by kafka)
- 24. 24 Edge01: PI400 Kafka Collect events events with Kafka Install OpenJDK11 Issues • Consumes lot of memory (required PI4) • Issues with configuration (listeners, also on WSL) • Complicated configuration (SASL-SCRAM, certificate store)Industrial scenario (tampering)
- 25. 25 Edge02: PI4 Spark Works on PI3 (even if too slow!) Aggregating events Install OpenJDK8 for 2.4.8 (not 11) Issues • Issues(?) with 3.x (not really tested) • Alignment between .net spark with spark • Problems with watermarking that is fundamental on streaming
- 26. 26 Edge03: • Handle processed data and route to the cloud • Planned installing an MQTT broker (Mosquitto?) • Installed .NET 6 • Monitor files on a shared folder on edge02 • sudo mkdir /mnt/data • sudo apt-get install sshfs • sudo sshfs -o allow_other,default_permissions pi@edge02.local:/home/pi/data /mnt/data • Issues • <empty>? • Broker not tested
- 28. 28
- 29. 29 Minus/Issues • PI3 is slowOnly PI4+ • PI4 is slow for desktop • Kafka is difficult to configure • Spark has a complicated processing/execution model • In general documentation is sparse and not homogeneus (PI/Kafka/Spark)
- 30. 30 Plus • .NET 6 works fine • Also Java works fine Kafka and Spark • PI4 is powerful • It can be a potential platform for Kafka and Spark on edge
- 32. Thank you Any questions? marcoparenzan marco_parenzan marcoparenzan https://github.com/marcoparenzan/kafka-spark-on-pi-with-dotnet