Building stream processing applications for Apache Kafka using KSQL

A presentation at Vienna Kafka Meetup in July 2019 in Vienna, Austria by Robin Moffatt

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Building stream processing applications with Apache Kafka® using KSQL @rmoff #KafkaMeetup

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STREAM PROCESSING

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PROCESSING STREAM

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PROCESSING STREAM a of EVENTS

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STREAMS ARE EVERYWHERE

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@rmoff A Customer Experience Building stream processing applications for Apache Kafka using KSQL

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@rmoff A Sale Building stream processing applications for Apache Kafka using KSQL

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@rmoff A Sensor Reading Building stream processing applications for Apache Kafka using KSQL

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@rmoff An Application Log Entry Building stream processing applications for Apache Kafka using KSQL

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@rmoff Databases Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Streams of events Time Building stream processing applications for Apache Kafka using KSQL

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Stream Processing with KSQL @rmoff #KafkaMeetup Stream: widgets Stream: widgets_red Building stream processing applications for Apache Kafka using KSQL

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Stream Processing with KSQL @rmoff #KafkaMeetup Stream: widgets CREATE STREAM widgets_red AS SELECT * FROM widgets WHERE colour=’RED’; Stream: widgets_red Building stream processing applications for Apache Kafka using KSQL

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Stream Processing with KSQL @rmoff #KafkaMeetup Source stream Building stream processing applications for Apache Kafka using KSQL

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Stream Processing with KSQL @rmoff #KafkaMeetup Source stream Building stream processing applications for Apache Kafka using KSQL

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Stream Processing with KSQL @rmoff #KafkaMeetup Source stream Analytics Applications / Microservices Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Interacting with KSQL 📬 Building stream processing applications for Apache Kafka using KSQL

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KSQL - Confluent Control Center @rmoff #KafkaMeetup Building stream processing applications for Apache Kafka using KSQL

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KSQL - CLI @rmoff #KafkaMeetup Building stream processing applications for Apache Kafka using KSQL

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KSQL - REST API @rmoff #KafkaMeetup Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup KSQL in action 🚀 http://rmoff.dev/ksql-intro_code Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Filtering with KSQL ORDERS Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Filtering with KSQL ORDERS KSQL CREATE STREAM ORDERS_NY AS SELECT * FROM ORDERS WHERE ADDRESS->STATE=’New York’; Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Filtering with KSQL ORDERS KSQL CREATE STREAM ORDERS_NY AS SELECT * FROM ORDERS WHERE ADDRESS->STATE=’New York’; ORDERS_NY Building stream processing applications for Apache Kafka using KSQL

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Schema manipulation with KSQL ORDERS @rmoff #KafkaMeetup { “ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5, “address”: { “street”: “243 Utah Way”, “city”: “Orange”, “state”: “California” } } Building stream processing applications for Apache Kafka using KSQL

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Schema manipulation with KSQL @rmoff #KafkaMeetup { “ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5, “address”: { “street”: “243 Utah Way”, “city”: “Orange”, “state”: “California” } } ORDERS_NO_ADDRESS_DATA AS ORDERS KSQL CREATE STREAM SELECT ORDERTIME, ORDERID, ITEMID, ORDERUNITS FROM ORDERS; Building stream processing applications for Apache Kafka using KSQL

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Schema manipulation with KSQL @rmoff #KafkaMeetup { “ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5, “address”: { “street”: “243 Utah Way”, “city”: “Orange”, “state”: “California” } AS ORDERS_NO_ADDRESS_DATA } ORDERS KSQL CREATE STREAM SELECT TIMESTAMPTOSTRING(ROWTIME, ‘yyyy-MM-dd HH:mm:ss’) AS ORDER_TIMESTAMP, ORDERID, ITEMID, ORDERUNITS FROM ORDERS; ORDERS_NO_ADDRESS_DATA { “order_ts”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5 } Building stream processing applications for Apache Kafka using KSQL

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Schema manipulation with KSQL @rmoff #KafkaMeetup { ORDERS } “ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5, “address”: { “street”: “243 Utah Way”, “city”: “Orange”, “state”: “California” } Building stream processing applications for Apache Kafka using KSQL

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Schema manipulation with KSQL ORDERS KSQL @rmoff #KafkaMeetup { “ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5, “address”: { “street”: “243 Utah Way”, “city”: “Orange”, “state”: “California” } CREATE STREAM ORDERS_FLAT AS SELECT […] } ADDRESS->STREET AS ADDRESS_STREET, ADDRESS->CITY AS ADDRESS_CITY, ADDRESS->STATE AS ADDRESS_STATE FROM ORDERS; Building stream processing applications for Apache Kafka using KSQL

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Schema manipulation with KSQL @rmoff #KafkaMeetup { ORDERS KSQL “ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5, “address”: { “street”: “243 Utah Way”, “city”: “Orange”, “state”: “California” } CREATE STREAM ORDERS_FLAT AS SELECT […] } ADDRESS->STREET AS ADDRESS_STREET, ADDRESS->CITY AS ADDRESS_CITY, ADDRESS->STATE AS ADDRESS_STATE FROM ORDERS; ORDERS_FLAT {“ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5, “address-street”: “243 Utah Way”, “address-city”: “Orange”, “address-state”: “California”} Building stream processing applications for Apache Kafka using KSQL

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Reserialising data with KSQL ORDERS @rmoff #KafkaMeetup {“ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5, “address-street”: “243 Utah Way”, “address-city”: “Orange”, “address-state”: “California”} Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Reserialising data with KSQL ORDERS KSQL {“ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5, “address-street”: “243 Utah Way”, “address-city”: “Orange”, “address-state”: “California”} CREATE STREAM ORDERS_CSV WITH (VALUE_FORMAT=’DELIMITED) AS SELECT * FROM ORDERS_FLAT; Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Reserialising data with KSQL ORDERS KSQL {“ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5, “address-street”: “243 Utah Way”, “address-city”: “Orange”, “address-state”: “California”} CREATE STREAM ORDERS_CSV WITH (VALUE_FORMAT=’DELIMITED) AS SELECT * FROM ORDERS_FLAT; ORDERS_CSV 1560045914101,24644,Item_0,1,43078 De 1560047305664,24643,Item_29,3,209 Mon 1560057079799,24642,Item_38,18,3 Autu 1560088652051,24647,Item_6,6,82893 Ar 1560105559145,24648,Item_0,12,45896 W 1560108336441,24646,Item_33,4,272 Hef 1560123862235,24641,Item_15,16,0 Dort 1560124799053,24645,Item_12,1,71 Knut Building stream processing applications for Apache Kafka using KSQL

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Lookups and Joins with KSQL ORDERS @rmoff #KafkaMeetup {“ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5} Building stream processing applications for Apache Kafka using KSQL

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Lookups and Joins with KSQL @rmoff #KafkaMeetup { “id”: “Item_9”, “make”: “Boyle-McDermott”, “model”: “Apiaceae”, “unit_cost”: 19.9 ITEMS ORDERS } {“ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5} Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Lookups and Joins with KSQL { “id”: “Item_9”, “make”: “Boyle-McDermott”, “model”: “Apiaceae”, “unit_cost”: 19.9 ITEMS } ORDERS KSQL CREATE STREAM ORDERS_ENRICHED AS SELECT O., I., O.ORDERUNITS * I.UNIT_COST AS TOTAL_ORDER_VALUE, FROM ORDERS O INNER JOIN ITEMS I ON O.ITEMID = I.ID ; {“ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5} Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Lookups and Joins with KSQL { “id”: “Item_9”, “make”: “Boyle-McDermott”, “model”: “Apiaceae”, “unit_cost”: 19.9 ITEMS } ORDERS KSQL CREATE STREAM ORDERS_ENRICHED AS SELECT O., I., O.ORDERUNITS * I.UNIT_COST AS TOTAL_ORDER_VALUE, FROM ORDERS O INNER JOIN ITEMS I ON O.ITEMID = I.ID ; {“ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5} ORDERS_ENRICHED { } “ordertime”: 1560070133853, “orderid”: 67, “itemid”: “Item_9”, “orderunits”: 5, “make”: “Boyle-McDermott”, “model”: “Apiaceae”, “unit_cost”: 19.9, “total_order_value”: 99.5 Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Connecting to other systems with Kafka Connect KSQL CREATE STREAM ORDERS_ENRICHED AS SELECT […] FROM ORDERS O INNER JOIN ITEMS I ON O.ITEMID = I.ID ; Kafka Connect Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Stateful Aggregation with KSQL ORDERS Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Stateful Aggregation with KSQL ORDERS SELECT MAKE, COUNT(*) AS ORDER_COUNT FROM ORDERS_ENRICHED GROUP BY MAKE; Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Stateful Aggregation with KSQL ORDERS SELECT MAKE, COUNT(*) AS ORDER_COUNT FROM ORDERS_ENRICHED GROUP BY MAKE; Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Transform data with KSQL - merge streams ORDERS US US UK ORDERS_UK UK Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Transform data with KSQL - merge streams ORDERS US US INSERT INTO ORDERS_COMBINED SELECT ‘US’ AS SOURCE, ORDERTIME, ITEMID, ORDERUNITS, ADDRESS FROM ORDERS; UK ORDERS_UK UK INSERT INTO ORDERS_COMBINED SELECT ‘UK’ AS SOURCE, ORDERTIME, ITEMID, ORDERUNITS, ADDRESS FROM ORDERS_UK; Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Transform data with KSQL - merge streams ORDERS US UK US INSERT INTO ORDERS_COMBINED SELECT ‘US’ AS SOURCE, ORDERTIME, ITEMID, ORDERUNITS, ADDRESS US FROM ORDERS; ORDERS_UK UK UK UK INSERT INTO ORDERS_COMBINED SELECT ‘UK’ AS SOURCE, ORDERTIME, ITEMID, ORDERUNITS, ADDRESS US FROM ORDERS_UK; ORDERS_COMBINED Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Transform data with KSQL - merge streams US UK UK US ORDERS_COMBINED Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Transform data with KSQL - merge streams US UK CREATE STREAM ORDERS_US AS SELECT * FROM ORDERS_COMBINED WHERE SOURCE =’US’; UK US ORDERS_COMBINED CREATE STREAM ORDERS_UK AS SELECT * FROM ORDERS_COMBINED WHERE SOURCE =’UK’; Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Transform data with KSQL - merge streams US UK CREATE STREAM ORDERS_US AS SELECT * FROM ORDERS_COMBINED WHERE SOURCE =’US’; US US ORDERS_US US UK ORDERS_COMBINED CREATE STREAM ORDERS_UK AS SELECT * FROM ORDERS_COMBINED WHERE SOURCE =’UK’; UK UK ORDERS_UK Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup KSQL operations and deployment 💾 Building stream processing applications for Apache Kafka using KSQL

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KSQL in Development and Production Interactive KSQL for development and testing @rmoff #KafkaMeetup Headless KSQL for Production REST Desired KSQL queries have been identified “Hmm, let me try out this idea…” Building stream processing applications for Apache Kafka using KSQL

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How to run KSQL @rmoff #KafkaMeetup DEB, RPM, ZIP, TAR downloads http://confluent.io/ksql Docker images KSQL Server confluentinc/cp-ksql-server confluentinc/cp-ksql-cli (JVM process) …and many more… Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup How to run KSQL #1 Interactive KSQL, for development & testing KSQL Cluster (processing) ksql> POST /query Kafka Cluster (data) … KSQL does not run on Kafka brokers! Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup How to run KSQL #2 Headless KSQL, for production KSQL Cluster (processing) servers started with same .sql file Kafka Cluster (data) … interaction for UI, CLI, REST is disabled Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Think Applications, not database instances Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Monitoring KSQL Confluent Control Center JMX https://www.confluent.io/blog/troubleshooting-ksql-part-2 Building stream processing applications for Apache Kafka using KSQL

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CONFLUENT COMMUNITY DISCOUNT CODE KS19Meetup. 25% OFF* *Standard Priced Conference pass

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@rmoff #KafkaMeetup http://cnfl.io/demo-scene Streaming ETL, powered by Apache Kafka and Confluent Platform http://cnfl.io/book-bundle http://cnfl.io/slack @rmoff [email protected] Building stream processing applications for Apache Kafka using KSQL

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@rmoff #KafkaMeetup Related Talks •The Changing Face of ETL: Event-Driven Architectures for Data Engineers •Apache Kafka and KSQL in Action : Let’s Build a Streaming Data Pipeline! • 📖 Slides • 📖 Slides • 📽 Recording • 👾 Code • 📽 Recording •ATM Fraud detection with Kafka and KSQL • 📖 Slides •No More Silos: Integrating Databases and Apache Kafka • 👾 Code • 📖 Slides • 📽 Recording • 👾 Code (MySQL) • 👾 Code (Oracle) •Embrace the Anarchy: Apache Kafka’s Role in Modern Data Architectures • 📽 Recording • 📖 Slides • 📽 Recording Building stream processing applications for Apache Kafka using KSQL

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Resources @rmoff #KafkaMeetup • CDC Spreadsheet #EOF • 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 Building stream processing applications for Apache Kafka using KSQL