diff --git a/README.md b/README.md index c32ec6d..c3e9515 100644 --- a/README.md +++ b/README.md @@ -24,6 +24,8 @@ You have two option to run the Workshop: * [Real Time Inventory](labs/05_usecase_realtime_inventory.md) * [Track and Trace](labs/06_usecase_track-and-trace.md) * [Calculate Distance](labs/07_usecase_distance.md) +4. IoT Lab + * [MQTT tracker](labs/mqtt_demo.adoc) Thanks a lot for attending diff --git a/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/doc/README.md b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/doc/README.md new file mode 100644 index 0000000..64c1d8b --- /dev/null +++ b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/doc/README.md @@ -0,0 +1,95 @@ +# Introduction + +This project provides connectors for Kafka Connect to read and write data to a MQTT broker. + +# Using with AWS IOT + +```bash +sudo mkdir /opt/aws-iot/ +sudo aws iot create-keys-and-certificate --set-as-active --certificate-pem-outfile /opt/aws-iot/cert.crt --private-key-outfile /opt/aws-iot/private.key --public-key-outfile /opt/aws-iot/public.key --region us-east-1 +sudo openssl pkcs12 -export -in /opt/aws-iot/cert.crt -inkey /opt/aws-iot/private.key -out /opt/aws-iot/p12.keystore -name alias +(type in the export password) + +$ keytool -importkeystore -srckeystore p12.keystore -srcstoretype PKCS12 -srcstorepass -alias alias -deststorepass -destkeypass -destkeystore my.keystore + +$ openssl x509 -outform der -in certificate.pem -out certificate.der +$ keytool -import -alias your-alias -keystore cacerts -file certificate.der +``` + +# Building + +To build the plugin archive, ensure you have [Artifactory credentials](https://github.com/confluentinc/connect-plugins-common#artifactory-credentials-for-building-plugins) set up on the build machine and use the following mvn command: + +``` +$ mvn clean package +... +output truncated +... +[INFO] Building zip: /Users/arjun/Sandbox/clones/kafka-connect-mqtt-wicknicks/target/components/packages/confluentinc-kafka-connect-mqtt-1.0.0-SNAPSHOT.zip +[INFO] +[INFO] --- maven-jar-plugin:3.0.2:test-jar (default) @ kafka-connect-mqtt --- +[INFO] Building jar: /Users/arjun/Sandbox/clones/kafka-connect-mqtt-wicknicks/target/kafka-connect-mqtt-1.0.0-SNAPSHOT-tests.jar +``` + +The location of the plugin archive is shown above in the `target/components/packages` directory. + +## Integration Tests + +To run integration tests from the terminal, start a Docker daemon locally, and run the following command: + +``` +$ mvn clean integration-test + +... +output truncated +... +[INFO] ------------------------------------------------------- +[INFO] T E S T S +[INFO] ------------------------------------------------------- +[INFO] Running io.confluent.connect.mqtt.integration.MqttSourceIntegrationTest +[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 12.817 s - in io.confluent.connect.mqtt.integration.MqttSourceIntegrationTest +[INFO] Running io.confluent.connect.mqtt.integration.MqttSinkIntegrationTest +[INFO] Tests run: 1, Failures: 0, Errors: 0, Skipped: 0, Time elapsed: 9.083 s - in io.confluent.connect.mqtt.integration.MqttSinkIntegrationTest +... +``` + +To **skip** running integration tests when running maven commands, enable the `skipIntegrationTests` flag. For example: + +``` +mvn clean install -DskipIntegrationTests +``` + +# Documentation + +## Location +Documentation on the connector is hosted on Confluent's +[docs site](https://docs.confluent.io/current/connect/kafka-connect-mqtt/). + +Source code is located in Confluent's +[docs repo](https://github.com/confluentinc/docs/tree/master/connect/kafka-connect-mqtt). If changes +are made to configuration options for the connector, be sure to generate the RST docs (as described +below) and open a PR against the docs repo to publish those changes! + +## Configs +Documentation on the configurations for each connector can be autotomatically generated via Maven. + +To generate documentation for the sink connector: +```bash +mvn -Pdocs exec:java@sink-config-docs +``` + +To generate documentation for the source connector: +```bash +mvn -Pdocs exec:java@source-config-docs +``` + +# Compatibility Matrix: + +This mqtt connector has been tested against the following versions of AK and Eclipse Mosquitto +Broker: + +| | AK 1.0 | AK 1.1 | AK 2.0 | +| ----------------------------- | ------------------ | ------------- | ------------- | +| **Eclipse Mosquitto v1.4.12** | NOT COMPATIBLE (1) | OK | OK | + +1. The connector needs header support in Connect. diff --git a/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/doc/licenses/LICENSE-EDL-org.eclipse.paho.client.mqttv3-1.2.0.txt b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/doc/licenses/LICENSE-EDL-org.eclipse.paho.client.mqttv3-1.2.0.txt new file mode 100644 index 0000000..cf989f1 --- /dev/null +++ b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/doc/licenses/LICENSE-EDL-org.eclipse.paho.client.mqttv3-1.2.0.txt @@ -0,0 +1,15 @@ + +Eclipse Distribution License - v 1.0 + +Copyright (c) 2007, Eclipse Foundation, Inc. and its licensors. + +All rights reserved. + +Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: + + Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. + Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. + Neither the name of the Eclipse Foundation, Inc. nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. 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Each party waives its rights to a jury trial in any resulting litigation. diff --git a/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/doc/licenses/LICENSE-slf4j-1.7.25.txt b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/doc/licenses/LICENSE-slf4j-1.7.25.txt new file mode 100644 index 0000000..315bd49 --- /dev/null +++ b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/doc/licenses/LICENSE-slf4j-1.7.25.txt @@ -0,0 +1,24 @@ +Copyright (c) 2004-2017 QOS.ch +All rights reserved. + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + + + diff --git a/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/etc/connect-avro-docker.properties b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/etc/connect-avro-docker.properties new file mode 100644 index 0000000..8fbebbd --- /dev/null +++ b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/etc/connect-avro-docker.properties @@ -0,0 +1,31 @@ +# +# Copyright [2018 - 2018] Confluent Inc. +# + +# Sample configuration for a standalone Kafka Connect worker that uses Avro serialization and +# integrates the the SchemaConfig Registry. This sample configuration assumes a local installation of +# Confluent Platform with all services running on their default ports. +# Bootstrap Kafka servers. If multiple servers are specified, they should be comma-separated. +bootstrap.servers=kafka:9092 +# The converters specify the format of data in Kafka and how to translate it into Connect data. +# Every Connect user will need to configure these based on the format they want their data in +# when loaded from or stored into Kafka +key.converter=io.confluent.connect.avro.AvroConverter +key.converter.schema.registry.url=http://schema-registry:8081 +value.converter=io.confluent.connect.avro.AvroConverter +value.converter.schema.registry.url=http://schema-registry:8081 +# The internal converter used for offsets and config data is configurable and must be specified, +# but most users will always want to use the built-in default. Offset and config data is never +# visible outside of Connect in this format. +internal.key.converter=org.apache.kafka.connect.json.JsonConverter +internal.value.converter=org.apache.kafka.connect.json.JsonConverter +internal.key.converter.schemas.enable=false +internal.value.converter.schemas.enable=false +# Local storage file for offset data +offset.storage.file.filename=/tmp/connect.offsets +# Confuent Control Center Integration -- uncomment these lines to enable Kafka client interceptors +# that will report audit data that can be displayed and analyzed in Confluent Control Center +# producer.interceptor.classes=io.confluent.monitoring.clients.interceptor.MonitoringProducerInterceptor +# consumer.interceptor.classes=io.confluent.monitoring.clients.interceptor.MonitoringConsumerInterceptor +consumer.max.poll.records=100 +plugin.path=target/components/packages/ \ No newline at end of file diff --git a/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/etc/source-anonymous.properties b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/etc/source-anonymous.properties new file mode 100644 index 0000000..d2cc44b --- /dev/null +++ b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/etc/source-anonymous.properties @@ -0,0 +1,9 @@ +# +# Copyright [2018 - 2018] Confluent Inc. +# + +name=anonymous +tasks.max=1 +connector.class=io.confluent.connect.mqtt.MqttSourceConnector +mqtt.server.uri=tcp://127.0.0.1:32790 +mqtt.topics=foo \ No newline at end of file diff --git a/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/etc/source-password.properties b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/etc/source-password.properties new file mode 100644 index 0000000..4cf9293 --- /dev/null +++ b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/etc/source-password.properties @@ -0,0 +1,11 @@ +# +# Copyright [2018 - 2018] Confluent Inc. +# + +name=anonymous +tasks.max=1 +connector.class=io.confluent.connect.mqtt.MqttSourceConnector +mqtt.server.uri=tcp://127.0.0.1:32792 +mqtt.topics=foo +mqtt.username=test +mqtt.password=test \ No newline at end of file diff --git a/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/confluent-licensing-new-5.0.0.jar b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/confluent-licensing-new-5.0.0.jar new file mode 100644 index 0000000..add0c4d Binary files /dev/null and b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/confluent-licensing-new-5.0.0.jar differ diff --git a/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/confluent-serializers-new-5.0.0.jar b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/confluent-serializers-new-5.0.0.jar new file mode 100644 index 0000000..3385e13 Binary files /dev/null and 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b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/kafka-connect-mqtt-1.2.3.jar new file mode 100644 index 0000000..22d9ce8 Binary files /dev/null and b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/kafka-connect-mqtt-1.2.3.jar differ diff --git a/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/org.eclipse.paho.client.mqttv3-1.2.0.jar b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/org.eclipse.paho.client.mqttv3-1.2.0.jar new file mode 100644 index 0000000..dc4b1ea Binary files /dev/null and b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/org.eclipse.paho.client.mqttv3-1.2.0.jar differ diff --git a/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/protobuf-java-3.4.0.jar b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/protobuf-java-3.4.0.jar new file mode 100644 index 0000000..ec27fae Binary files /dev/null and b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/protobuf-java-3.4.0.jar differ diff --git a/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/protobuf-java-util-3.4.0.jar b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/protobuf-java-util-3.4.0.jar new file mode 100644 index 0000000..81b04e5 Binary files /dev/null and b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/lib/protobuf-java-util-3.4.0.jar differ diff --git a/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/manifest.json b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/manifest.json new file mode 100644 index 0000000..32c777a --- /dev/null +++ b/docker/confluent-hub-components/confluentinc-kafka-connect-mqtt/manifest.json @@ -0,0 +1,29 @@ +{ + "name" : "kafka-connect-mqtt", + "version" : "1.2.3", + "title" : "Kafka Connect MQTT", + "description" : "A Kafka Connect plugin for sending and receiving data from a Mqtt 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\ No newline at end of file diff --git a/docker/data/mqtt.ksql b/docker/data/mqtt.ksql new file mode 100644 index 0000000..ed6792e --- /dev/null +++ b/docker/data/mqtt.ksql @@ -0,0 +1,126 @@ +SET 'auto.offset.reset' = 'earliest'; + +CREATE STREAM MQTT_RAW + ( + WHO VARCHAR KEY, + TID VARCHAR, + BATT INTEGER, + LON DOUBLE, + LAT DOUBLE, + TST BIGINT, + ALT INTEGER, + COG INTEGER, + VEL INTEGER, + P DOUBLE, + BS INTEGER, + CONN VARCHAR, + ACC INTEGER, + T VARCHAR, + VAC INTEGER, + INREGIONS VARCHAR, + TYPE VARCHAR) +WITH (KAFKA_TOPIC = 'data_mqtt', VALUE_FORMAT='JSON'); + +SELECT TIMESTAMPTOSTRING(TST*1000, 'MMM-dd HH:mm:ss','Europe/London') as TS, + TID, + BATT, + BS + FROM MQTT_RAW emit changes; + +SELECT TIMESTAMPTOSTRING(TST*1000, 'MMM-dd HH:mm:ss','Europe/London') as TS, + TID, + BATT, + BS, + GEO_DISTANCE(LAT,LON,51.4965005,-0.2106881,'KM') AS DISTANCE_FROM_VENUE + FROM MQTT_RAW emit changes; + +SELECT who, SPLIT(WHO, '/')[2] AS WHO2 FROM MQTT_RAW EMIT CHANGES LIMIT 5; + +SELECT LAT, LON, CAST(LAT AS VARCHAR) + ',' + CAST(LON AS VARCHAR) AS LOCATION FROM MQTT_RAW EMIT CHANGES LIMIT 5; + +SELECT BS FROM MQTT_RAW EMIT CHANGES LIMIT 10; + +SELECT BS, CASE WHEN BS=0 THEN 'Unknown' + WHEN BS=1 THEN 'Unplugged' + WHEN BS=2 THEN 'Charging' + WHEN BS=3 THEN 'Full' + ELSE '[unknown]' + END AS BATTERY_STATUS, BATT FROM MQTT_RAW EMIT CHANGES LIMIT 10; + +CREATE STREAM PHONE_DATA + WITH (VALUE_FORMAT='AVRO') AS + SELECT WHO, + SPLIT(WHO, '/')[2] AS WHOSIMPLE + , TST * 1000 AS EVENT_TIME + , CASE WHEN LAT IS NULL OR LON IS NULL THEN CAST(NULL AS VARCHAR) + ELSE CAST(LAT AS VARCHAR) +','+CAST(LON AS VARCHAR) + END AS LOCATION + , ACC AS LOCATION_ACCURACY_M + , ALT AS ALTITUDE_M + , BATT AS BATTERY_PCT + , CASE WHEN BS=0 THEN 'Unknown' + WHEN BS=1 THEN 'Unplugged' + WHEN BS=2 THEN 'Charging' + WHEN BS=3 THEN 'Full' + ELSE '[unknown]' + END AS BATTERY_STATUS + , COG AS COURSE_OVER_GROUN + , CASE WHEN T='p' THEN 'ping issued randomly by background task' + WHEN T='c' THEN 'circular region enter/leave event' + WHEN T='b' THEN 'beacon region enter/leave event' + WHEN T='r' THEN 'response to a reportLocation cmd message' + WHEN T='u' THEN 'manual publish requested by the user' + WHEN T='t' THEN 'timer based publish in move' + WHEN T='v' THEN 'updated by Settings/Privacy/Locations Services/System Services/Frequent Locations monitoring' + ELSE '[unknown]' + END AS REPORT_TRIGGER + , TID AS TRACKER_ID + , VAC AS VERTICAL_ACCURACY_M + , VEL AS VELOCITY_KMH + , P AS PRESSURE_KPA + , CASE WHEN CONN='w' THEN 'WiFI' + WHEN CONN='o' THEN 'Offline' + WHEN CONN='m' THEN 'Mobile' + ELSE '[unknown]' + END AS CONNECTIVITY_STATUS + , INREGIONS AS REGIONS + , LAT, LON, + GEO_DISTANCE(LAT,LON,51.4965005,-0.2106881,'KM') AS DISTANCE_FROM_VENUE + FROM MQTT_RAW; + +SELECT WHOSIMPLE, REPORT_TRIGGER, CONNECTIVITY_STATUS, BATTERY_PCT, BATTERY_STATUS FROM PHONE_DATA EMIT CHANGES LIMIT 10; + + +SELECT TIMESTAMPTOSTRING(ROWTIME, 'yyyy-MM-dd HH:mm:ss'), TIMESTAMPTOSTRING(EVENT_TIME, 'yyyy-MM-dd HH:mm:ss') FROM RUNNER_LOCATION_00 EMIT CHANGES; + +CREATE STREAM RUNNER_LOCATION + WITH (TIMESTAMP='EVENT_TIME') AS + SELECT * + FROM RUNNER_LOCATION_00 +PARTITION BY WHOSIMPLE; + +SELECT TIMESTAMPTOSTRING(ROWTIME, 'yyyy-MM-dd HH:mm:ss'), TIMESTAMPTOSTRING(EVENT_TIME, 'yyyy-MM-dd HH:mm:ss') FROM RUNNER_LOCATION EMIT CHANGES; + +SELECT TIMESTAMPTOSTRING(ROWTIME, 'yyyy-MM-dd HH:mm:ss'), WHOSIMPLE, REPORT_TRIGGER, CONNECTIVITY_STATUS, BATTERY_PCT, BATTERY_STATUS FROM RUNNER_LOCATION_00 EMIT CHANGES LIMIT 10; + + +CREATE TABLE RUNNER_STATUS AS + SELECT WHOSIMPLE, + MIN(VELOCITY_KMH) AS MIN_SPEED, + MAX(VELOCITY_KMH) AS MAX_SPEED, + COUNT(*) AS NUM_EVENTS, + MAX(ROWTIME) AS LAST_EVENT_TS, + MIN(GEO_DISTANCE(LAT, LON, 53.925915, -1.823168, 'KM')) AS DIST_TO_ILKLEY + FROM RUNNER_LOCATION + WINDOW TUMBLING (SIZE 5 MINUTE) + GROUP BY WHOSIMPLE; + +CREATE TABLE RUNNER_STATUS_ALL AS + SELECT WHOSIMPLE, + MIN(VELOCITY_KMH) AS MIN_SPEED, + MAX(VELOCITY_KMH) AS MAX_SPEED, + COUNT(*) AS NUM_EVENTS, + MAX(ROWTIME) AS LAST_EVENT_TS, + MIN(GEO_DISTANCE(LAT, LON, 53.925915, -1.823168, 'KM')) AS DIST_TO_ILKLEY + FROM RUNNER_LOCATION + GROUP BY WHOSIMPLE; diff --git a/docker/data/mqtt_data.kcat.anon b/docker/data/mqtt_data.kcat.anon new file mode 100644 index 0000000..5939de9 --- /dev/null +++ b/docker/data/mqtt_data.kcat.anon @@ -0,0 +1,1426 @@ +owntracks/race-write/BB32F08D-940A-46E3-9E8B-7B34B9C8B3C1:{"batt":100,"lon":-1.8125752571133549,"acc":65,"p":98.489105224609375,"bs":3,"vac":10,"lat":53.955233261289684,"t":"t","conn":"w","tst":1569334836,"alt":98,"_type":"location","tid":"C1"} +owntracks/race-write/BB32F08D-940A-46E3-9E8B-7B34B9C8B3C1:{"batt":100,"lon":-1.8125752571133549,"acc":65,"p":98.489105224609375,"bs":3,"vac":10,"lat":53.955233261289684,"t":"t","conn":"w","tst":1569334836,"alt":98,"_type":"location","tid":"C1"} 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+owntracks/tiqmyral/rmoff:{"batt":97,"lon":-1.8125818890032339,"acc":200,"p":98.689468383789062,"bs":1,"vel":0,"vac":93,"lat":53.92535400390625,"t":"u","conn":"w","tst":1569316069,"alt":97,"_type":"location","tid":"FF"} +owntracks/tiqmyral/rmoff:{"batt":97,"lon":-1.8125818890032339,"acc":200,"p":98.689468383789062,"bs":1,"vel":0,"vac":93,"lat":53.92535400390625,"t":"u","conn":"w","tst":1569316069,"alt":97,"_type":"location","tid":"FF"} diff --git a/docker/data/mysql/20_customers.sql b/docker/data/mysql/20_customers.sql index bca57ec..db3dbe8 100644 --- a/docker/data/mysql/20_customers.sql +++ b/docker/data/mysql/20_customers.sql @@ -1,4 +1,3 @@ - # Create the database that we'll use to populate data and watch the effect in the binlog \! echo creating demo db... CREATE DATABASE if not exists demo; @@ -19,7 +18,20 @@ create table CUSTOMERS ( create_ts timestamp DEFAULT CURRENT_TIMESTAMP , update_ts timestamp DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP ); - +\! echo creating USERS table... +CREATE TABLE USERS (USERID VARCHAR(255), + EMAIL VARCHAR(255), + SHARE_LOCATION_OPTIN BOOLEAN, + PRIVACY_LOCATION_LAT DOUBLE, + PRIVACY_LOCATION_LON DOUBLE, + PRIVACY_ZONE_KM DOUBLE, + CREATE_TS TIMESTAMP DEFAULT CURRENT_TIMESTAMP , + UPDATE_TS TIMESTAMP DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP +); +\! echo inserting into USERS +INSERT INTO USERS (USERID, EMAIL, SHARE_LOCATION_OPTIN, PRIVACY_LOCATION_LAT, PRIVACY_LOCATION_LON, PRIVACY_ZONE_KM) VALUES ('rmoff','robin@rmoff.net', TRUE, 53.924729, -1.804453, 0.5); +INSERT INTO USERS (USERID, EMAIL, SHARE_LOCATION_OPTIN) VALUES ('hugh','hugh@example.com', FALSE); +INSERT INTO USERS (USERID, EMAIL, SHARE_LOCATION_OPTIN) VALUES ('ivor','ivor@example.com', FALSE); \! echo Inserting customers... insert into CUSTOMERS (id, first_name, last_name, email, gender, status360, comments) values (1, 'Rica', 'Blaisdell', 'rblaisdell0@rambler.ru', 'Female', 'bronze', 'Universal optimal hierarchy'); insert into CUSTOMERS (id, first_name, last_name, email, gender, status360, comments) values (2, 'Ruthie', 'Brockherst', 'rbrockherst1@ow.ly', 'Female', 'platinum', 'Reverse-engineered tangible interface'); diff --git a/docker/data/owntracks.otrc b/docker/data/owntracks.otrc new file mode 100644 index 0000000..8dce3f4 --- /dev/null +++ b/docker/data/owntracks.otrc @@ -0,0 +1,49 @@ +{ + "host" : "farmer.cloudmqtt.com", + "locatorDisplacement" : 200, + "subTopic" : "", + "usepolicy" : false, + "validatecertificatechain" : false, + "ignoreStaleLocations" : 0, + "cleanSession" : false, + "locked" : false, + "url" : "", + "usePassword" : true, + "positions" : 50, + "mode" : 0, + "tls" : false, + "willRetain" : false, + "ignoreInaccurateLocations" : 0, + "extendedData" : true, + "monitoring" : 2, + "_type" : "configuration", + "locatorInterval" : 180, + "maxHistory" : 0, + "waypoints" : [ + + ], + "ws" : false, + "username" : "race-write", + "policymode" : 0, + "willTopic" : "", + "clientpkcs" : "", + "ranging" : false, + "keepalive" : 60, + "willQos" : 1, + "pubTopicBase" : "", + "auth" : true, + "passphrase" : "", + "allowinvalidcerts" : false, + "port" : 16448, + "clientId" : "", + "mqttProtocolLevel" : 4, + "sub" : false, + "allowRemoteLocation" : true, + "pubQos" : 1, + "password" : "Qvi2fRGFu.BM8PVy_a9Dm6iJG_NmCZ", + "validatedomainname" : false, + "subQos" : 1, + "servercer" : "", + "cmd" : false, + "pubRetain" : true +} \ No newline at end of file diff --git a/docker/docker-compose.yml b/docker/docker-compose.yml index a8c0982..fce8e7d 100644 --- a/docker/docker-compose.yml +++ b/docker/docker-compose.yml @@ -4,11 +4,9 @@ services: zookeeper: container_name: workshop-zookeeper image: confluentinc/cp-zookeeper:latest - cpus: 0.5 environment: ZOOKEEPER_CLIENT_PORT: 2181 ZOOKEEPER_TICK_TIME: 2000 - kafka: container_name: workshop-kafka image: confluentinc/cp-enterprise-kafka:latest @@ -52,7 +50,6 @@ services: schema-registry: image: confluentinc/cp-schema-registry:latest container_name: workshop-schema-registry - cpus: 0.4 ports: - 8081:8081 depends_on: @@ -161,7 +158,6 @@ services: - schema-registry volumes: - ./extensions:/etc/ksqldb/ext - cpus: 1.0 ports: - 8088:8088 environment: @@ -194,7 +190,6 @@ services: # *-----------------------------* container_name: workshop-ksqldb-cli image: confluentinc/cp-ksqldb-cli:latest - cpus: 0.8 depends_on: - ksqldb-server entrypoint: /bin/sh @@ -206,11 +201,10 @@ services: mysql: # *-----------------------------* # To connect to the DB: - # docker-compose exec mysql bash -c 'mysql -u root -p$MYSQL_ROOT_PASSWORD' + # docker-compose exec workshop-mysql bash -c 'mysql -u root -p$MYSQL_ROOT_PASSWORD' # *-----------------------------* image: mysql:8.0 container_name: workshop-mysql - cpus: 0.5 ports: - 3306:3306 environment: @@ -233,7 +227,6 @@ services: - schema-registry - connect-ext - ksqldb-server - cpus: 0.8 ports: - "9021:9021" environment: @@ -269,19 +262,7 @@ services: MONGO_INITDB_ROOT_USERNAME: mongo-user MONGO_INITDB_ROOT_PASSWORD: mongo-pw MONGO_REPLICA_SET_NAME: my-replica-set - command: --replSet my-replica-set --bind_ip_all - mongo: - image: mongo:4.2.5 - hostname: mongo - container_name: mongo - ports: - - "27017:27017" - environment: - MONGO_INITDB_ROOT_USERNAME: mongo-user - MONGO_INITDB_ROOT_PASSWORD: mongo-pw - MONGO_REPLICA_SET_NAME: my-replica-set - command: --replSet my-replica-set --bind_ip_all - + command: --replSet my-replica-set --bind_ip_all postgres: image: debezium/postgres:12 hostname: postgres @@ -295,21 +276,44 @@ services: volumes: - ./postgres/custom-config.conf:/etc/postgresql/postgresql.conf command: postgres -c config_file=/etc/postgresql/postgresql.conf - - #oracle: - # image: store/oracle/database-enterprise:12.2.0.1 - #hostname: oracle - #volumes: - # - ./scripts:/scripts - #container_name: oracle - #ports: - # - 1521:1521 + elastic: - image: elasticsearch:7.6.2 - hostname: elastic + image: elasticsearch:7.5.0 + hostname: elasticsearch container_name: elastic ports: - "9200:9200" - "9300:9300" environment: discovery.type: single-node + command: + - bash + - -c + - | + /usr/local/bin/docker-entrypoint.sh & + echo "Waiting for Elasticsearch to start ⏳" + while [ $$(curl -s -o /dev/null -w %{http_code} http://localhost:9200/) -eq 000 ] ; do + echo -e $$(date) " Elasticsearch listener HTTP state: " $$(curl -s -o /dev/null -w %{http_code} http://localhost:9200/) " (waiting for != 000)" + sleep 5 + done + curl -XPUT "http://localhost:9200/_template/kafkaconnect/" -H 'Content-Type: application/json' -d' + { + "index_patterns": "*", + "settings": { "number_of_shards": 1, "number_of_replicas": 0 }, + "mappings": { "dynamic_templates": [ + { "dates": { "match": "*_TS", "mapping": { "type": "date" } } }, + { "heights": { "match": "HEIGHT", "mapping": { "type": "float" } } }, + { "locations": { "match": "LOCATION", "mapping": { "type": "geo_point" } } } + ] } }' + sleep infinity + + kibana: + image: docker.elastic.co/kibana/kibana:7.5.0 + container_name: kibana + depends_on: + - elastic + ports: + - 5601:5601 + environment: + xpack.security.enabled: "false" + discovery.type: "single-node" diff --git a/docker/load_sample_data.sh b/docker/load_sample_data.sh new file mode 100755 index 0000000..48a695c --- /dev/null +++ b/docker/load_sample_data.sh @@ -0,0 +1,4 @@ +#!/bin/bash + +docker exec workshop-kafka /usr/bin/kafka-topics --zookeeper zookeeper:2181 --create --topic data_mqtt --replication-factor 1 --partitions 1 +kafkacat -b localhost:9092 -t data_mqtt -K: -P -T -l ./data/dummy_data.kcat diff --git a/docker/run_datagen.sh b/docker/run_datagen.sh new file mode 100755 index 0000000..c4dbec9 --- /dev/null +++ b/docker/run_datagen.sh @@ -0,0 +1,6 @@ +#!/bin/bash + +while [ 1 -eq 1 ] +do awk '{print $0;system("sleep 0.75");}' ./data/dummy_data.kcat | \ + kafkacat -b localhost:9092 -P -t data_mqtt -K: +done; 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while : ; do curl_status=$(curl -s -o /dev/null -w %{http_code} http://ksql-server:8088/info) ; echo -e $(date) " KSQL server listener HTTP state: " $curl_status " (waiting for 200)" ; if [ $curl_status -eq 200 ] ; then break ; fi ; sleep 5 ; done ; ksql http://ksql-server:8088' +---- + +* MySQL CLI: ++ +[source,bash] +---- +docker exec -it mysql bash -c 'mysql -u $MYSQL_USER -p$MYSQL_PASSWORD demo' +---- + +=== Data + +* Option 1 : load sample data from local ++ +[source,bash] +---- +kafkacat -b localhost:9092 -t data_mqtt -K: -P -T -l ./data/dummy_data.kcat +---- + +* Option 3 : stream from MQTT source ++ +[source,bash] +---- +./create_mqtt_source_local.sh +---- + +Check there's data on the topic: + +[source,bash] +---- +kafkacat -b localhost:9092 -t data_mqtt -o beginning -C +---- + +== Demo + +image::images/mqtt_kafka_06.png[] + +Check out the topics on the cluster + +[source,sql] +---- +SHOW TOPICS; +---- + +There's a stream of MQTT data; let's take a look at it! + +[source,sql] +---- +PRINT 'data_mqtt'; +---- + +Let's take this stream of JSON messages and declare the schema so that we can use it in KSQL. The schema comes from the owner of the data: https://owntracks.org/booklet/tech/json/#_typelocation + +[source,sql] +---- +CREATE STREAM MQTT_RAW + (WHO VARCHAR KEY, TID VARCHAR, BATT INTEGER, LON DOUBLE, LAT DOUBLE, + TST BIGINT, ALT INTEGER, COG INTEGER, VEL INTEGER, + P DOUBLE, BS INTEGER, CONN VARCHAR, ACC INTEGER, + T VARCHAR, VAC INTEGER, INREGIONS VARCHAR, TYPE VARCHAR) +WITH (KAFKA_TOPIC = 'data_mqtt', VALUE_FORMAT='JSON'); +---- + +image::images/mqtt_kafka_04.png[] + +[source,sql] +---- +SELECT TIMESTAMPTOSTRING(TST*1000, 'MMM-dd HH:mm:ss','Europe/London') as TS, + TID, + BATT, + BS + FROM MQTT_RAW emit changes; +---- +[source,sql] +---- +SELECT TIMESTAMPTOSTRING(TST*1000, 'MMM-dd HH:mm:ss','Europe/London') as TS, + TID, + BATT, + BS, + GEO_DISTANCE(LAT,LON,51.4965005,-0.2106881,'KM') AS DISTANCE_FROM_VENUE + FROM MQTT_RAW emit changes; +---- +[source,sql] +---- +SELECT who, SPLIT(WHO, '/')[2] AS WHO2 FROM MQTT_RAW EMIT CHANGES LIMIT 5; +---- +[source,sql] +---- +SELECT LAT, LON, CAST(LAT AS VARCHAR) + ',' + CAST(LON AS VARCHAR) AS LOCATION FROM MQTT_RAW EMIT CHANGES LIMIT 5; +---- +[source,sql] +---- +SELECT BS FROM MQTT_RAW EMIT CHANGES LIMIT 10; +---- +[source,sql] +---- +SELECT BS, CASE WHEN BS=0 THEN 'Unknown' + WHEN BS=1 THEN 'Unplugged' + WHEN BS=2 THEN 'Charging' + WHEN BS=3 THEN 'Full' + ELSE '[unknown]' + END AS BATTERY_STATUS, BATT FROM MQTT_RAW EMIT CHANGES LIMIT 10; +---- + + +Now let's do something more than just write this to the screen. Let's write it to a new Kafka topic! + +[source,sql] +---- +CREATE STREAM PHONE_DATA + WITH (VALUE_FORMAT='AVRO') AS + SELECT WHO, + SPLIT(WHO, '/')[3] AS WHOSIMPLE + , TST * 1000 AS EVENT_TIME_EPOCH_MS_TS + , CASE WHEN LAT IS NULL OR LON IS NULL THEN CAST(NULL AS VARCHAR) + ELSE CAST(LAT AS VARCHAR) +','+CAST(LON AS VARCHAR) + END AS LOCATION + , ACC AS LOCATION_ACCURACY_M + , ALT AS ALTITUDE_M + , BATT AS BATTERY_PCT + , CASE WHEN BS=0 THEN 'Unknown' + WHEN BS=1 THEN 'Unplugged' + WHEN BS=2 THEN 'Charging' + WHEN BS=3 THEN 'Full' + ELSE '[unknown]' + END AS BATTERY_STATUS + , COG AS COURSE_OVER_GROUN + , CASE WHEN T='p' THEN 'ping issued randomly by background task' + WHEN T='c' THEN 'circular region enter/leave event' + WHEN T='b' THEN 'beacon region enter/leave event' + WHEN T='r' THEN 'response to a reportLocation cmd message' + WHEN T='u' THEN 'manual publish requested by the user' + WHEN T='t' THEN 'timer based publish in move' + WHEN T='v' THEN 'updated by Settings/Privacy/Locations Services/System Services/Frequent Locations monitoring' + ELSE '[unknown]' + END AS REPORT_TRIGGER + , TID AS TRACKER_ID + , VAC AS VERTICAL_ACCURACY_M + , VEL AS VELOCITY_KMH + , P AS PRESSURE_KPA + , CASE WHEN CONN='w' THEN 'WiFI' + WHEN CONN='o' THEN 'Offline' + WHEN CONN='m' THEN 'Mobile' + ELSE '[unknown]' + END AS CONNECTIVITY_STATUS + , INREGIONS AS REGIONS + , LAT, LON, + GEO_DISTANCE(LAT,LON,51.4965005,-0.2106881,'KM') AS DISTANCE_FROM_VENUE + FROM MQTT_RAW; +---- + +Show it worked: + +[source,sql] +---- +SELECT WHOSIMPLE, + EVENT_TIME_EPOCH_MS_TS, + TRACKER_ID, + BATTERY_PCT, + BATTERY_STATUS, + CONNECTIVITY_STATUS + FROM PHONE_DATA emit changes; +---- + +image::images/mqtt_kafka_03.png[] + +Since this is just a Kafka topic we can use and consume it just like any other. In this example, streaming the data to Elasticsearch. + +[source,sql] +---- +CREATE SINK CONNECTOR sink_elastic_phone_data_02 WITH ( + 'connector.class' = 'io.confluent.connect.elasticsearch.ElasticsearchSinkConnector', + 'connection.url' = 'http://elasticsearch:9200', + 'type.name' = '', + 'behavior.on.malformed.documents' = 'warn', + 'errors.tolerance' = 'all', + 'errors.log.enable' = 'true', + 'errors.log.include.messages' = 'true', + 'topics.regex' = 'PHONE_.*', + 'key.ignore' = 'true', + 'schema.ignore' = 'true', + 'key.converter' = 'org.apache.kafka.connect.storage.StringConverter' +); + +---- + +* Check it's running ++ +[source,bash] +---- +curl -s "http://localhost:8083/connectors?expand=info&expand=status" | \ + jq '. | to_entries[] | [ .value.info.type, .key, .value.status.connector.state,.value.status.tasks[].state,.value.info.config."connector.class"]|join(":|:")' | \ + column -s : -t| sed 's/\"//g'| sort +---- ++ +[source,bash] +---- +sink | sink-elastic-phone_data-00 | RUNNING | RUNNING | io.confluent.connect.elasticsearch.ElasticsearchSinkConnector +---- + +* Set up Kibana ++ +[source,bash] +---- +echo -e "\n--\n+> Opt out of Kibana telemetry" +curl 'http://localhost:5601/api/telemetry/v2/optIn' -H 'kbn-xsrf: nevergonnagiveyouup' -H 'content-type: application/json' -H 'accept: application/json' --data-binary '{"enabled":false}' --compressed + +echo -e "Import objects" +curl 'http://localhost:5601/api/saved_objects/_import?overwrite=true' -H 'Connection: keep-alive' -H 'Origin: http://localhost:5601' -H 'kbn-version: 7.5.0' --form file=@data/kibana.ndjson +---- +We will need to create an index pattern in kibana + + +* Show Kibana http://localhost:5601/app/kibana#/discover?_g=(refreshInterval:(pause:!f,value:1000),time:(from:now-24h,to:now))&_a=(columns:!(WHO,CONNECTIVITY_STATUS,BATTERY_PCT,BATTERY_STATUS,DISTANCE_FROM_VENUE),index:phone_data_idx,interval:auto,query:(language:lucene,query:''),sort:!(!(EVENT_TIME_EPOCH_MS_TS,desc)))[discovery view] & http://localhost:5601/app/kibana#/visualize/create?type=tile_map&indexPattern=phone_data_idx&_g=(refreshInterval:(pause:!t,value:0),time:(from:now-7d,mode:quick,to:now))&_a=(filters:!(),linked:!f,query:(language:lucene,query:''),uiState:(),vis:(aggs:!((enabled:!t,id:'1',params:(),schema:metric,type:count),(enabled:!t,id:'2',params:(autoPrecision:!t,field:LOCATION,isFilteredByCollar:!t,mapCenter:!(0,0),mapZoom:2,precision:2,useGeocentroid:!t),schema:segment,type:geohash_grid)),params:(addTooltip:!t,colorSchema:'Yellow%20to%20Red',heatClusterSize:1.5,isDesaturated:!t,legendPosition:bottomright,mapCenter:!(0,0),mapType:'Shaded%20Circle%20Markers',mapZoom:2,wms:(enabled:!f,options:(format:image%2Fpng,transparent:!t),selectedTmsLayer:(attribution:'%3Cp%3E%26%23169;%20%3Ca%20href%3D%22https:%2F%2Fwww.openstreetmap.org%2Fcopyright%22%3EOpenStreetMap%20contributors%3C%2Fa%3E%7C%3Ca%20href%3D%22https:%2F%2Fopenmaptiles.org%22%3EOpenMapTiles%3C%2Fa%3E%7C%3Ca%20href%3D%22https:%2F%2Fwww.maptiler.com%22%3EMapTiler%3C%2Fa%3E%7C%3Ca%20href%3D%22https:%2F%2Fwww.elastic.co%2Felastic-maps-service%22%3EElastic%20Maps%20Service%3C%2Fa%3E%3C%2Fp%3E%26%2310;',id:road_map,maxZoom:18,minZoom:0,origin:elastic_maps_service))),title:'New%20Visualization',type:tile_map))[map viz] + + + +image::images/mqtt_kafka_07a.png[] + +But who is `rmoff`, and does he mind us having access to all this information about him? + +Check out the source data in MySQL: + +[source,sql] +---- +docker exec -it workshop-mysql mysql -uroot -pconfluent +---- +[source,sql] +---- +use demo +---- + +[source,sql] +---- +SELECT USERID, EMAIL, SHARE_LOCATION_OPTIN FROM USERS; +---- + +[source,sql] +---- ++--------+------------------+----------------------+ +| USERID | EMAIL | SHARE_LOCATION_OPTIN | ++--------+------------------+----------------------+ +| rmoff | robin@rmoff.net | 1 | +| ivor | ivor@example.com | 0 | +| hugh | hugh@example.com | 0 | ++--------+------------------+----------------------+ +---- + +Ingest the data into ksqlDB + +[source,sql] +---- +CREATE SOURCE CONNECTOR source_debezium_mysql_users_00 WITH ( + 'connector.class' = 'io.debezium.connector.mysql.MySqlConnector', + 'database.hostname' = 'mysql', + 'database.port' = '3306', + 'database.user' = 'debezium', + 'database.password' = 'dbzpass', + 'database.server.id' = '42', + 'database.server.name' = 'workshop', + 'table.whitelist' = 'demo.USERS', + 'database.history.kafka.bootstrap.servers' = 'kafka:29092', + 'database.history.kafka.topic' = 'dbhistory.demo' , + 'decimal.handling.mode' = 'double', + 'include.schema.changes' = 'true', + 'transforms' = 'unwrap,addTopicPrefix', + 'transforms.unwrap.type' = 'io.debezium.transforms.UnwrapFromEnvelope', + 'transforms.addTopicPrefix.type' = 'org.apache.kafka.connect.transforms.RegexRouter', + 'transforms.addTopicPrefix.regex' = '(.*)', + 'transforms.addTopicPrefix.replacement' = 'mysql2-$1' +); +---- + +Declare the KSQL table on the topic populated from the database: + +[source,sql] +---- +SET 'auto.offset.reset' = 'earliest'; + +CREATE STREAM USERS_STREAM_CDC WITH (KAFKA_TOPIC='workshop.demo.USERS-cdc', VALUE_FORMAT='AVRO'); +create stream USERS_STREAM with (partitions=1) as select after->USERID as USERID, + after->EMAIL as EMAIL, + after->SHARE_LOCATION_OPTIN as SHARE_LOCATION_OPTIN, + after->PRIVACY_LOCATION_LAT as PRIVACY_LOCATION_LAT, + after->PRIVACY_LOCATION_LON as PRIVACY_LOCATION_LON, + after->PRIVACY_ZONE_KM as PRIVACY_ZONE_KM, + after->CREATE_TS as CREATE_TS, + after->UPDATE_TS as UPDATE_TS +from USERS_STREAM_CDC +partition by after->USERID; + + +CREATE TABLE USERS ( + USERID VARCHAR PRIMARY KEY, + EMAIL VARCHAR, + SHARE_LOCATION_OPTIN BIGINT, + PRIVACY_LOCATION_LAT DOUBLE, + PRIVACY_LOCATION_LON DOUBLE, + PRIVACY_ZONE_KM DOUBLE, + CREATE_TS VARCHAR, + UPDATE_TS VARCHAR + +) WITH (KAFKA_TOPIC='USERS_STREAM', VALUE_FORMAT='AVRO'); + +---- + +Examine the data: + +[source,sql] +---- + +SELECT TIMESTAMPTOSTRING(R.ROWTIME, 'MMM-dd HH:mm:ss','Europe/London') AS TS, + R.WHO, + U.EMAIL, + U.SHARE_LOCATION_OPTIN, + R.LAT, + R.LON + FROM PHONE_DATA R + LEFT JOIN USERS U + ON R.WHOSIMPLE = U.USERID EMIT CHANGES; +---- + +Set datagen running + +[source,bash] +---- +./run_datagen.sh +---- + + +[source,sql] +---- +SET 'auto.offset.reset' = 'latest'; + +SELECT TIMESTAMPTOSTRING(R.ROWTIME, 'MMM-dd HH:mm:ss','Europe/London') AS TS, + WHOSIMPLE + ,U.EMAIL AS EMAIL + ,CASE WHEN U.SHARE_LOCATION_OPTIN = 1 THEN LOCATION + ELSE CAST(NULL AS VARCHAR) + END AS LOCATION + FROM PHONE_DATA R + LEFT JOIN USERS U + ON R.WHOSIMPLE = U.USERID + WHERE WHOSIMPLE='ivor' emit changes; +---- + +In a new terminal, show MySQL with KSQL still visible. + +[source,sql] +---- +docker exec -it workshop-mysql mysql -uroot -pconfluent +---- +[source,sql] +---- +use demo +---- + +In MySQL make an update to a user's profile to switch their data optin; note how the KSQL query above changes in response to it. + +[source,sql] +---- +UPDATE USERS SET SHARE_LOCATION_OPTIN=TRUE WHERE USERID='ivor'; + + +UPDATE USERS SET SHARE_LOCATION_OPTIN=FALSE WHERE USERID='ivor'; +---- + +Looking at the data in MySQL in more detail, we can see each user can optionally specify a _privacy zone_ within which their data won't be shared, but outside of which it can. + +[source,sql] +---- +SELECT * FROM USERS WHERE USERID='rmoff' \G +---- + +[source,sql] +---- +*************************** 1. row *************************** + USERID: rmoff + EMAIL: robin@rmoff.net +SHARE_LOCATION_OPTIN: 1 +PRIVACY_LOCATION_LAT: 53.924729 +PRIVACY_LOCATION_LON: -1.804453 + PRIVACY_ZONE_KM: 1 + CREATE_TS: 2019-11-14 06:54:38 + UPDATE_TS: 2019-11-14 06:54:38 +1 row in set (0.00 sec) +---- + +We can apply this logic in the SQL as part of the streaming application: + +[source,sql] +---- +CREATE STREAM PHONE_LOCATION_OPTIN AS + SELECT WHOSIMPLE, + EVENT_TIME_EPOCH_MS_TS, + CASE + WHEN U.SHARE_LOCATION_OPTIN = 1 THEN + CASE + WHEN GEO_DISTANCE (LAT,LON,PRIVACY_LOCATION_LAT,PRIVACY_LOCATION_LON,'KM') > PRIVACY_ZONE_KM + THEN LOCATION + ELSE '' + END + WHEN U.SHARE_LOCATION_OPTIN = 0 THEN '' + ELSE '' + END AS LOCATION, + GEO_DISTANCE (LAT,LON,PRIVACY_LOCATION_LAT,PRIVACY_LOCATION_LON,'KM') AS DISTANCE_KM_FROM_PRIVACY_ZONE, + PRIVACY_ZONE_KM AS PRIVACY_ZONE_THRESHOLD_KM, + BATTERY_PCT, + BATTERY_STATUS, + U.EMAIL AS EMAIL + FROM PHONE_DATA R + LEFT JOIN USERS U + ON R.WHOSIMPLE = U.USERID; +---- + +[source,sql] +---- +SELECT TIMESTAMPTOSTRING(ROWTIME, 'MMM-dd HH:mm:ss','Europe/London') AS TS, + WHOSIMPLE, + LOCATION, + DISTANCE_KM_FROM_PRIVACY_ZONE, + PRIVACY_ZONE_THRESHOLD_KM + FROM PHONE_LOCATION_OPTIN + WHERE WHOSIMPLE='rmoff' emit changes; +---- + +== MOAR derived streams + +You can also use KSQL to create a subset of the data so that other teams could use the data + +[source,sql] +---- +SET 'auto.offset.reset' = 'earliest'; + +CREATE STREAM PHONE_BATTERY_DATA AS + SELECT WHO, BATTERY_PCT, BATTERY_STATUS, CONNECTIVITY_STATUS + FROM PHONE_DATA; +---- + +== Back to basics + +image::images/mqtt_kafka_09.png[] + +With a schema in place we can pick out fields from the data: + +[source,sql] +---- +SET 'auto.offset.reset' = 'earliest'; +SELECT TIMESTAMPTOSTRING(ROWTIME, 'yyyy-MM-dd HH:mm:ss') as TS, WHO, BATT FROM MQTT_RAW emit changes; +---- + +[source,sql] +---- ++-------------------------+-------------------------+-------------------------+ +|TS |ROWKEY |BATT | ++-------------------------+-------------------------+-------------------------+ +|2019-09-30 20:47:30 |owntracks/race-write/rife|45 | +|2019-09-30 20:47:30 |owntracks/race-write/rmof|100 | +| |f- | | +|2019-09-30 20:47:30 |owntracks/race-write/EF81|100 | +| |CA0A-BBD6-4116-BBC7-38EE8| | +| |FA3D5A4 | | +[…] +---- + +image::images/mqtt_kafka_08.png[] + +We can use predicates to filter the data: + +[source,sql] +---- +SELECT WHO, TST, BATT + FROM MQTT_RAW + WHERE WHO LIKE '%rmoff' emit changes; +---- + +[source,sql] +---- ++-----------------------------+-------------+---------+ +|ROWKEY |TST |BATT | ++-----------------------------+-------------+---------+ +|owntracks/tiqmyral/rmoff |1569316069 |97 | +|owntracks/tiqmyral/rmoff |1569315063 |96 | +|owntracks/tiqmyral/rmoff |1569312091 |95 | +---- + +Looking at the message key it's the final part of it that identifies the user, so let's extract that + +[source,sql] +---- +SELECT WHO, SPLIT(WHO, '/')[3] AS WHOSIMPLE + FROM MQTT_RAW emit changes + LIMIT 5; +---- + +https://owntracks.org/booklet/tech/json/#_typelocation[Per the documentation] there are some fields which have special meanings, such as the state of the battery: + +[source,sql] +---- +SELECT BS FROM MQTT_RAW emit changes; +---- + +[source,sql] +---- ++--------+ +|BS | ++--------+ +|1 | +|1 | +|1 | +|1 | +|1 | +---- + +We can use KSQL to apply these values to the codes to make the data more useful. Check out the `AS` clause too for changing the schema field names. + +[source,sql] +---- +SELECT BS, + CASE WHEN BS=0 THEN 'Unknown' + WHEN BS=1 THEN 'Unplugged' + WHEN BS=2 THEN 'Charging' + WHEN BS=3 THEN 'Full' + ELSE '[unknown]' + END AS BATTERY_STATUS, + BATT AS BATTERY_PCT + FROM MQTT_RAW emit changes; +---- + +[source,sql] +---- ++----------------------------+----------------------------+----------------------------+ +|BS |BATTERY_STATUS |BATT | ++----------------------------+----------------------------+----------------------------+ +|1 |Unplugged |45 | +|1 |Unplugged |45 | +|3 |Full |100 | +|2 |Charging |100 | +|1 |Unplugged |45 | +|3 |Full |100 | +---- + + +[go back to Agenda](https://github.com/jr-marquez/ksqldbWorkshop/blob/main/README.md#hands-on-agenda-and-labs) + +`EOFEOFEOF` \ No newline at end of file diff --git a/mqtt-tracker/README.adoc b/mqtt-tracker/README.adoc new file mode 100644 index 0000000..3525c14 --- /dev/null +++ b/mqtt-tracker/README.adoc @@ -0,0 +1,229 @@ += MQTT Kafka tracker +Robin Moffatt +v1.00, 27 September 2019 + +:toc: +:sectnums: + +**Built based on https://github.com/saubury/race-mapper[Simon Aubury's excellent example], all credit and thanks to Simon for this.** + +image::images/mqtt_kafka_01.png[] + +*For demo script see link:./mqtt_demo.adoc[here]* + +image::images/kibana01.png[] + +'''' + +* Install Owntracks on your phone +* Owntracks sends https://owntracks.org/booklet/tech/json/#_typelocation[data] to MQTT server +* Kafka Connect ingests MQTT into Kafka topic +* ksqlDB parses and transforms the data for analysis +* Kafka Connect streams the data to Elasticsearch +* Kibana does nice visualisation of the data + +== Pre-requisites + +=== MQTT + +1. You'll need an MQTT server; https://www.cloudmqtt.com is very easy to setup and no credit card required for entry-level tier. From your MQTT server you need: +** Hostname +** Port +** Username +** Password + +Tip: https://mqtt-explorer.com/[MQTT Explorer] is a useful tool. + +=== OwnTracks + +1. Download Owntracks to your phone. Click the ℹ️ icon in the top left and configure the MQTT settings. + +2. On your MQTT server (e.g. CloudMQTT's `WebSocket UI` view) you should see messages arriving + +=== Option 1 : Cloud + +In this approach you use Confluent Cloud and Elastic Cloud as fully managed services. The only thing you have to run is a Kafka Connect worker, which is shown here done under Docker, but there are also link::ec2_notes.adoc[notes here on deploying it on EC2]. + +* Sign up for https://confluent.cloud/[Confluent Cloud], and provision a Schema Registry and ksqlDB instance. +* Sign up for https://elastic.co/cloud/[Elastic Cloud] - use version 6, not 7. + +Create a local `.env` file and enter into it your details from Confluent Cloud along with your details of your MQTT server and Elasticsearch instance. + +[source,bash] +---- +CCLOUD_BROKER_HOST= +CCLOUD_API_KEY= +CCLOUD_API_SECRET= +CCLOUD_SCHEMA_REGISTRY_URL= +CCLOUD_SCHEMA_REGISTRY_API_KEY= +CCLOUD_SCHEMA_REGISTRY_API_SECRET= + +ELASTIC_URL= +ELASTIC_USERNAME= +ELASTIC_PASSWORD= + +CONFLUENTPLATFORM_VERSION=5.4.0-beta1 + +MQTT_USERNAME= +MQTT_PASSWORD= +MQTT_URL= +---- + +Make sure you've got Docker/Docker Compose and then run: + +`docker-compose -f docker-compose_ccloud.yml up -d` + +=== Option 2 : Local + +In this approach you run the full Confluent Platform and Elastic stack locally, through Docker. + +Create a local `.env` file and enter into it your details of your MQTT server. You can leave the Elasticsearch details as they are. + +[source,bash] +---- +CONFLUENTPLATFORM_VERSION=5.4.0-beta1 + +ELASTIC_URL=http://elasticsearch:9200 +ELASTIC_USERNAME=dummy +ELASTIC_PASSWORD=dummy + +MQTT_USERNAME= +MQTT_PASSWORD= +MQTT_URL= +---- + +Make sure you've got Docker/Docker Compose and then run: + +`docker-compose -f up -d` + +== Configuration + +=== Kafka Connect MQTT Source + +Depending on whether you are sending data up to Confluent Cloud or to a local Kafka broker run : + +* Confluent Cloud ++ +[source,bash] +---- +./create_mqtt_source_ccloud.sh +---- + + +* Local ++ +[source,bash] +---- +./create_mqtt_source_local.sh +---- + + +=== ksqlDB + +With data flowing in, now it's time to build your stream processing apps! The ksqlDB applications apply a schema to the data, set the data types, and extract fields such as the device/sender ID. + +* Confluent Cloud - launch the ksqlDB page, and paste in the contents of the `mqtt.ksql` file. +* Local +** Run ksqlDB CLI ++ +[source,bash] +---- +docker exec -it ksqldb-cli bash -c 'echo -e "\n\n⏳ Waiting for ksqlDB to be available before launching CLI\n"; while : ; do curl_status=$(curl -s -o /dev/null -w %{http_code} http://ksqldb-server:8088/info) ; echo -e $(date) " ksqlDB server listener HTTP state: " $curl_status " (waiting for 200)" ; if [ $curl_status -eq 200 ] ; then break ; fi ; sleep 5 ; done ; ksql http://ksqlDB-server:8088' +---- +** Run script ++ +[source,sql] +---- +RUN SCRIPT '/data/mqtt.ksql'; +---- + +=== Kafka Connect Elasticsearch sink + +Depending on whether you are sending data up to Confluent Cloud or to a local Kafka broker run : + +* Confluent Cloud ++ +[source,bash] +---- +./create_mqtt_source_ccloud.sh +---- + + +* Local ++ +[source,bash] +---- +./create_mqtt_source_local.sh +---- + + +=== Kafka Connect Elasticsearch sink + +1. You need to create an Elasticsearch dynamic mapping template so that geopoint fields and dates are correctly picked up. ++ +**If running using Docker Compose this has already been done for you**. If using a hosted Elasticsearch then run : ++ +[source,bash] +---- +./create_es_dynamic_mapping.sh +---- + +2. Create the sink connectors. There are two because the `key.ignore` value is different between them (otherwise they could be combined into one and use a `topics` list or `topics.regex`): ++ +[source,bash] +---- +./create_es_sink.sh +---- ++ +Check connector status: ++ +[source,bash] +---- +curl -s "http://localhost:8083/connectors?expand=info&expand=status" | \ + jq '. | to_entries[] | [ .value.info.type, .key, .value.status.connector.state,.value.status.tasks[].state,.value.info.config."connector.class"]|join(":|:")' | \ + column -s : -t| sed 's/\"//g'| sort +---- ++ +[source,bash] +---- +sink | sink-elastic-runner_location-00 | RUNNING | RUNNING | io.confluent.connect.elasticsearch.ElasticsearchSinkConnector +sink | sink-elastic-runner_status-00 | RUNNING | RUNNING | io.confluent.connect.elasticsearch.ElasticsearchSinkConnector +source | source-mqtt-01 | RUNNING | RUNNING | io.confluent.connect.mqtt.MqttSourceConnector +---- +3. Check data is arriving in Elasticsearch: ++ +[source,bash] +---- +$ curl "http://localhost:9200/_cat/indices/runn*?h=idx,docsCount" +runner_status 0 +runner_location 237 +---- ++ +(For Elastic Cloud just add `-u user:password` to the `curl` call before the URL) + +== Footnote - Sync data from Confluent Cloud to local Kafka brokers + +You can use Confluent Replicator to stream the contents of a topic (or topics) between Kafka clusters, including between on-premises Kafka and Confluent Cloud. This could be useful if you wanted a copy of the data on a local environment to use whilst not connected to Confluent Cloud (e.g. whilst on ✈️) + +In the `docker-compose.yml` is a container for `replicator`. Make sure that this is running, and then run + +[source,bash] +---- +./create_replicator_source.sh +---- + +This runs on the local stack and pulls down messages from the Confluent Cloud topic(s) specified. Note that three brokers are run as part of the `docker-compose.yml` because Replicator creates topics with the same config as on the source (and Confluent Cloud has replication factor=3) + +Check the status: + +[source,bash] +---- +curl -s "http://localhost:58083/connectors?expand=info&expand=status" | \ + jq '. | to_entries[] | [ .value.info.type, .key, .value.status.connector.state,.value.status.tasks[].state,.value.info.config."connector.class"]|join(":|:")' | \ + column -s : -t| sed 's/\"//g'| sort +---- + +[source,bash] +---- +source | replicator-source | RUNNING | RUNNING | io.confluent.connect.replicator.ReplicatorSourceConnector +---- \ No newline at end of file