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See Part 1: https://community.hortonworks.com/content/kbentry/107379/minifi-for-image-capture-and-ingestion-from...

In this article, we are ingesting beacon data using an ASUS Tinkerboard which is very similar to a Raspberry PI in form, form factor and features. It is newer and has less peripherals, but has 2 gig of RAM, ARM Mali GPU T760 MP4, Quad-core ARM Cortex-A17 1.8Ghz processor with a dual-channel DDR3 memory and BLE built-in (Bluetooth 4.0 with EDR).

For beacons, I am using the basic Estimate three beacon collection. They have a really nice solid beacon in a silicon case, that looks nice and works well. They have a mobile app to manage, monitor and simulate as well as a cloud app.

16456-estimotecloudbeacons.png

16457-tinkerflowoverview.png

From our Apache NiFi server we have an Input Port that is receiving the messages from the Java MiniFi agent running on the ASUS Tinkerboard.

16458-minfirunschedule.png

As with most of the data, I want to ingest the data every minute.

16459-estimote.jpg

The ASUS Tinkerboard device has the read light lit up. The Estimate beacons are the colored devices to the right. For Tinkerboard's the default username is linaro.

Requires BlueTooth Reading Libraries in Linux

sudo apt-get -y install bluetooth bluez libbluetooth-dev libudev-dev bluez-hcidump python-bluez
sudo apt-get -y update
sudo apt-get -y install python-dev python3-dev
pip install beacontools[scan]

The built-in BlueTooth is hci0. You will need to have Python 2.7 and/or Python 3.5 installed.

Install Oracle JDK 8

sudo apt-get -y install oracle-java8-jdk

Shell Script to ExcuteProcess

/opt/demo/py-decode-beacon/runble.sh

python bluez_scan.py

Python Script

See: Python beacon advertisement decoder Copyright (c) 2015 Patrick Van Oosterwijck

https://github.com/adamf/BLE/blob/master/ble-scanner.py and https://github.com/xorbit/py-decode-beacon

Starting MiniFi on Tinkerboard

bin/minifi.sh start

Diagnostics on MiniFi

./bin/minifi.sh flowStatus systemdiagnostics:heap,processorstats,contentrepositoryusage,flowfilerepositoryusage,garbagecollection

Logs From MiniFi

2017-06-12 17:13:49,873 INFO [Timer-Driven Process Thread-9] o.a.nifi.remote.StandardRemoteGroupPort RemoteGroupPort[name=MiniFi Tinker,target=http://hw13125.local:8080/nifi/] Successfully sent [StandardFlowFileRecord[uuid=98de3195-8be3-4433-840b-c84b9a84fb6f,claim=StandardContentClaim [resourceClaim=StandardResourceClaim[id=1497282405127-2, container=default, section=2], offset=729236, length=16331],offset=0,name=98638611491740,size=16331]] (15.95 KB) to http://HW13125.local:8080/nifi-api in 138 milliseconds at a rate of 114.88 KB/sec
2017-06-12 17:13:57,918 INFO [Provenance Maintenance Thread-3] o.a.n.p.MiNiFiPersistentProvenanceRepository Created new Provenance Event Writers for events starting with ID 2365
2017-06-12 17:13:57,962 INFO [Provenance Repository Rollover Thread-1] o.a.n.p.MiNiFiPersistentProvenanceRepository Successfully merged 16 journal files (3 records) into single Provenance Log File provenance_repository/2362.prov in 243 milliseconds
2017-06-12 17:13:57,971 INFO [Provenance Repository Rollover Thread-1] o.a.n.p.MiNiFiPersistentProvenanceRepository Successfully Rolled over Provenance Event file containing 5 records
2017-06-12 17:14:04,671 INFO [Http Site-to-Site PeerSelector] o.apache.nifi.remote.client.PeerSelector org.apache.nifi.remote.client.PeerSelector@944ade Successfully refreshed Peer Status; remote instance consists of 1 peers
2017-06-12 17:14:21,554 INFO [pool-23-thread-1] o.a.n.c.r.WriteAheadFlowFileRepository Initiating checkpoint of FlowFile Repository
2017-06-12 17:14:26,057 INFO [pool-23-thread-1] org.wali.MinimalLockingWriteAheadLog org.wali.MinimalLockingWriteAheadLog@541c15 checkpointed with 0 Records and 0 Swap Files in 4502 milliseconds (Stop-the-world time = 3887 milliseconds, Clear Edit Logs time = 549 millis), max Transaction ID 985
2017-06-12 17:14:26,059 INFO [pool-23-thread-1] o.a.n.c.r.WriteAheadFlowFileRepository Successfully checkpointed FlowFile Repository with 0 records in 4503 milliseconds
2017-06-12 17:14:42,783 INFO [Write-Ahead Local State Provider Maintenance] org.wali.MinimalLockingWriteAheadLog org.wali.MinimalLockingWriteAheadLog@3e088f checkpointed with 0 Records and 0 Swap Files in 97 milliseconds (Stop-the-world time = 49 milliseconds, Clear Edit Logs time = 33 millis), max Transaction ID -1
2017-06-12 17:15:05,438 INFO [Http Site-to-Site PeerSelector] o.apache.nifi.remote.client.PeerSelector org.apache.nifi.remote.client.PeerSelector@944ade Successfully refreshed Peer Status; remote instance consists of 1 peers
2017-06-12 17:15:49,116 INFO [Timer-Driven Process Thread-5] o.apache.nifi.remote.client.PeerSelector New Weighted Distribution of Nodes:
PeerStatus[hostname=HW13125.local,port=8080,secure=false,flowFileCount=0] will receive 100.0% of data

It's a very simple model, just execute the Python and send the resultant JSON to NiFi for processing and storage.

16460-tinkerminififlow.png

The same code will also work on a Raspberry Pi and for most similar Linux devices.

ASUS Tinkerboard is running TinkerOS_Debian V1.8, not Raspian.

References:

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