Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline! @rmoff #KafkaMeetup
Slide 1
Slide 2
Kafka is an Event Streaming Platform App App App @rmoff #KafkaMeetup App request-response changelogs App App KAFKA App App DWH Hadoop messaging OR stream processing streaming data pipelines Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 3
Database Offload @rmoff #KafkaMeetup Amazon S3 RDBMS Kafka Connect Kafka Connect HDFS Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 4
@rmoff #KafkaMeetup Stream Processing with Apache Kafka and ksqlDB order events CDC RDBMS customer orders customer Stream Processing Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 5
Real-time Event Stream Enrichment @rmoff #KafkaMeetup order events customer orders C D C RDBMS <y> customer Stream Processing Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 6
Message Bus @rmoff #KafkaMeetup order events App <x> Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 7
@rmoff #KafkaMeetup Stream Processing order events Stream Processing App <x> Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 8
Transform Once, Use Many @rmoff #KafkaMeetup order events Completed orders Stream Processing App <x> Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 9
@rmoff #KafkaMeetup Evolve processing from old systems to new Existing App New App <x> C D C RDBMS Stream Processing Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 10
@rmoff #KafkaMeetup Evolve processing from old systems to new Existing App New App <x> New App <y> C D C RDBMS Stream Processing Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 11
@rmoff #KafkaMeetup Evolve processing from old systems to new Existing App New App <x> New App <y> C D C RDBMS Stream Processing Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 12
@rmoff #KafkaMeetup Building a streaming data pipeline Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 13
@rmoff #KafkaMeetup Stream Integration + Processing Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 14
@rmoff #KafkaMeetup Integration Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 15
@rmoff #KafkaMeetup Streaming Integration with Kafka Connect syslog Sources Kafka Connect Kafka Brokers Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 16
@rmoff #KafkaMeetup Streaming Integration with Kafka Connect Amazon S3 Sinks Google BigQuery Kafka Connect Kafka Brokers Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 17
@rmoff #KafkaMeetup Streaming Integration with Kafka Connect Amazon S3 syslog Google BigQuery Kafka Connect Kafka Brokers Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 18
@rmoff #KafkaMeetup Look Ma, No Code! { “connector.class”: “io.confluent.connect.jdbc.JdbcSourceConnector”, “jdbc:mysql://asgard:3306/demo”, “table.whitelist”: “sales,orders,customers” } https://docs.confluent.io/current/connect/ “connection.url”: Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 19
@rmoff #KafkaMeetup Serialisation & Schemas Avro -> Confluent Schema Registry Protobuf JSON CSV https://qconnewyork.com/system/files/presentation-slides/qcon_17_-_schemas_and_apis.pdf Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 20
@rmoff #KafkaMeetup The Confluent Schema Registry Avro Schema Schema Registry Target Source Kafka Connect Avro Message Avro Message Kafka Connect Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 21
@rmoff #KafkaMeetup Extensible Connector Transform(s) Converter Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 22
@rmoff #KafkaMeetup Confluent Hub hub.confluent.io Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 23
@rmoff #KafkaMeetup Stream Integration + Processing Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 24
@rmoff #KafkaMeetup Stream Processing Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 25
} “reading_ts”: “2020-02-14T12:19:27Z”, “sensor_id”: “aa-101”, “production_line”: “w01”, “widget_type”: “acme94”, “temp_celcius”: 23, “widget_weight_g”: 100 Photo by Franck V. on Unsplash { @rmoff #KafkaMeetup Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 26
@rmoff #KafkaMeetup SELECT * FROM WIDGETS WHERE WEIGHT_G > 120 { SELECT COUNT(*) FROM WIDGETS GROUP BY PRODUCTION_LINE } SELECT AVG(TEMP_CELCIUS) AS TEMP FROM WIDGETS GROUP BY SENSOR_ID HAVING TEMP>20 Photo by Franck V. on Unsplash “reading_ts”: “2020-02-14T12:19:27Z”, “sensor_id”: “aa-101”, “production_line”: “w01”, “widget_type”: “acme94”, “temp_celcius”: 23, “widget_weight_g”: 100 CREATE SINK CONNECTOR dw WITH ( Object store, ‘connector.class’ = ‘S3Connector’, data warehouse, ‘topics’ = ‘widgets’ RDBMS …); Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 27
ksqlDB @rmoff #KafkaMeetup The event streaming database purpose-built for stream processing applications. Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 28
Stream Processing with ksqlDB @rmoff #KafkaMeetup Source stream Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 29
Stream Processing with ksqlDB @rmoff #KafkaMeetup Source stream Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 30
Stream Processing with ksqlDB @rmoff #KafkaMeetup Source stream Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 31
Stream Processing with ksqlDB @rmoff #KafkaMeetup Source stream Analytics Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 32
Stream Processing with ksqlDB @rmoff #KafkaMeetup Source stream Applications / Microservices Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 33
@rmoff #KafkaMeetup Stream Processing with ksqlDB …SUM(TXN_AMT) GROUP BY AC_ID AC _I D= 42 BA LA NC AC E= _I 94 D= .0 42 0 Source stream Applications / Microservices Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 34
@rmoff #KafkaMeetup Let’s Build It! Rating events App Pro d uc e rA PI { “rating_id”: 5313, “user_id”: 3, “stars”: 4, “route_id”: 6975, “rating_time”: 1519304105213, “channel”: “web”, “message”: “worst. flight. ever. #neveragain” } Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 35
@rmoff #KafkaMeetup Let’s Build It! Rating events App a k f a K t c e n n o C App u s n o C uc e rA PI Kafka Connect a fk t Ka ec n RDBMS Pro d I P A r e m Operational Dashboard Elasticsearch n Co User data Push notification ksqlDB Join events to users, and filter Data Lake SnowflakeDB/ S3/HDFS/etc Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 36
@rmoff #KafkaMeetup Push notification Rating events App Pro d I P A r e m App u s n o C uc e rA PI Demo Time! a fk t Ka ec n RDBMS Operational Dashboard Elasticsearch n Co User data a k f a K t c e n n o C Kafka Connect ksqlDB Join events to users, and filter Data Lake SnowflakeDB/ S3/HDFS/etc Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 37
@rmoff #KafkaMeetup Push notification Rating events App Kafka Connect a fk t Ka ec n RDBMS u s n o C uc e rA PI a k f a K t c e n n o C App Operational Dashboard Elasticsearch n Co User data Pro d I P A r e m ksqlDB Join events to users, and filter Data Lake SnowflakeDB/ S3/HDFS/etc Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 38
@rmoff #KafkaMeetup Push notification to Slack Rating events App Pro d I P A r e m App u s n o C uc e rA PI Kafka Connect Operational Dashboard Elasticsearch n Co a fk t Ka ec n a k f a K t c e n n o C poor_ratings Data ratings ksqlDB User data RDBMS Lake Filter events S3/HDFS/ SnowflakeDB etc Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 39
{ “rating_id”: 5313, “user_id”: 3, “stars”: 4, “route_id”: 6975, “rating_time”: 1519304105213, “channel”: “web”, “message”: “worst. flight. ever. #neveragain” @rmoff #KafkaMeetup Filter all ratings where STARS<3 POOR_RATINGS } Producer API CREATE STREAM POOR_RATINGS AS SELECT * FROM ratings WHERE STARS <3 Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 40
@rmoff #KafkaMeetup Push notification to Slack Kafka Connect Rating events App Kafka Connect a fk t Ka ec n RDBMS u s n o C uc e rA PI a k f a K t c e n n o C App Operational Dashboard Elasticsearch n Co User data Pro d I P A r e m Join events to users, and filter Data Lake SnowflakeDB/ S3/HDFS/etc Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 41
@rmoff #KafkaMeetup Producer API MySQL t c e n n o C a k f Ka m u i z e b e D Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 42
Time The Stream/Table Duality Stream Account ID Amount 12345 + £50 12345
- £25 12345
- £60 @rmoff #KafkaMeetup Account ID Balance Table 12345 £50 Account ID Balance 12345 £75 Account ID Balance 12345 £15 Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 43
The truth is the log. The database is a cache of a subset of the log. —Pat Helland Immutability Changes Everything http://cidrdb.org/cidr2015/Papers/CIDR15_Paper16.pdf Photo by Bobby Burch on Unsplash
Slide 44
{ “rating_id”: 5313, “user_id”: 3, “stars”: 4, “route_id”: 6975, “rating_time”: 1519304105213, “channel”: “web”, “message”: “worst. flight. ever. #neveragain” } Producer API @rmoff #KafkaMeetup Join each rating to customer data RATINGS_WITH_CUSTOMER_DATA t c e n n o C a k f a K { “id”: 3, “first_name”: “Merilyn”, “last_name”: “Doughartie”, “email”: “[email protected]”, “gender”: “Female”, “club_status”: “platinum”, “comments”: “none” CREATE STREAM RATINGS_WITH_CUSTOMER_DATA AS SELECT * FROM RATINGS LEFT JOIN CUSTOMERS ON R.ID=C.ID; } Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 45
{ “rating_id”: 5313, “user_id”: 3, “stars”: 4, “route_id”: 6975, “rating_time”: 1519304105213, “channel”: “web”, “message”: “worst. flight. ever. #neveragain” } Producer API t c e n n o C a k f a K @rmoff #KafkaMeetup Join each rating to customer data RATINGS_WITH_CUSTOMER_DATA Filter for just PLATINUM customers UNHAPPY_PLATINUM_CUSTOMERS { “id”: 3, “first_name”: “Merilyn”, “last_name”: “Doughartie”, “email”: “[email protected]”, “gender”: “Female”, “club_status”: “platinum”, “comments”: “none” CREATE STREAM UNHAPPY_PLATINUM_CUSTOMERS AS SELECT * FROM RATINGS_WITH_CUSTOMER_DATA WHERE STARS < 3 } Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 46
{ “rating_id”: 5313, “user_id”: 3, “stars”: 4, “route_id”: 6975, “rating_time”: 1519304105213, “channel”: “web”, “message”: “worst. flight. ever. #neveragain” @rmoff #KafkaMeetup CREATE TABLE RATINGS_BY_CLUB_STATUS AS SELECT CLUB_STATUS, COUNT(*) Join each rating to customer data FROM RATINGS_WITH_CUSTOMER_DATA Producer APWINDOW I TUMBLING RATINGS_WITH_CUSTOMER_DATA (SIZE 1 MINUTES) GROUP BY CLUB_STATUS; } t c e n n o C a k f a K { “id”: 3, “first_name”: “Merilyn”, “last_name”: “Doughartie”, “email”: “[email protected]”, “gender”: “Female”, “club_status”: “platinum”, “comments”: “none” } Aggregate per-minute by CLUB_STATUS RATINGS_BY_CLUB_STATUS_1MIN Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 47
Kafka Connect → Elasticsearch @rmoff #KafkaMeetup Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 48
Photo by on @rmoff #KafkaMeetup Want to learn more? CTAs, not CATs (sorry, not sorry) Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 49
kafka-summit.org Moffatt30 30% OFF* *Standard Priced Conference pass
Slide 50
Learn Kafka. Start building with Apache Kafka at Confluent Developer. developer.confluent.io
Slide 51
Confluent Community Slack group @rmoff #KafkaMeetup cnfl.io/slack Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 52
Free Books! @rmoff #KafkaMeetup https://rmoff.dev/ldn-mar20 Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
Slide 53
Resources @rmoff #KafkaMeetup #EOF • CDC Spreadsheet • Blog: No More Silos: How to Integrate your Databases with Apache Kafka and CDC • #partner-engineering on Slack for questions • BD team (#partners / [email protected]) can help with introductions on a given sales op Apache Kafka and ksqlDB in Action: Let’s Build a Streaming Data Pipeline!
