Introducing Change Data Capture with Debezium And Apache Kafka

Istanbul JUG, Nov 26th 2020

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Transcript

1. @systemcraftsman Introducing Change Data Capture with Debezium and Apache Kafka Aykut M. Bulgu Technology Consultant | Software Architect aykut@systemcraftsman.com
2. @systemcraftsman #oc apply -f aykutbulgu.yaml apiVersion: redhat/v2.5 kind: Middleware & AppDev Consultant metadata: name: Aykut Bulgu namespace: Red Hat Consulting - CEMEA Annotations: twitter: @systemcraftsman email: aykut@systemcraftsman.com organizer: Software Craftsmanship Turkey founder: System Craftsman labels: married: yes children: daughter interests: tech (cloud & middleware), aikido, 80s spec: replicas: 2 containers: - image: aykut:latest Me as Code
3. @systemcraftsman Agenda The Issue with Dual Writes What's the problem? Change data capture to the rescue! CDC Use Cases & Patterns Replication Audit Logs Microservices Practical Matters Deployment Topologies Running on Kubernetes Single Message Transforms
4. @systemcraftsman Common Problem Updating multiple resources Order Service Database
5. @systemcraftsman Common Problem Updating multiple resources Order Service Database Cache
6. @systemcraftsman Common Problem Updating multiple resources Order Service Database Cache Search Index
7. @systemcraftsman Common Problem Updating multiple resources Order Service Database Cache Search Index
8. @systemcraftsman ‘Friends Don't Let Friends Do Dual Writes!’
9. @systemcraftsman As a Solution Stream changes events from the database Order Service
10. @systemcraftsman As a Solution Stream changes events from the database Order Service C | C | U | C | U | U | D Change Data Capture C - Change U - Update D - Delete
11. @systemcraftsman As a Solution Stream changes events from the database Order Service C | C | U | C | U | U | D Change Data Capture C - Change U - Update D - Delete
12. @systemcraftsman Change Data Capture with Debezium Debezium is an open source distributed platform for change data capture
13. @systemcraftsman Debezium Change Data Capture Platform CDC for multiple databases Based on transaction logs Snapshotting, filtering, etc. Fully open-source, very active community Latest version: 1.3 Production deployments at multiple companies (e.g. WePay, JW Player, Convoy, Trivago, OYO, BlaBlaCar etc.)
14. @systemcraftsman Red Hat CDC Supported Databases GA Connectors: MySQL Postgres SQL Server MongoDB Developer Preview: DB2
15. @systemcraftsman Advantages of Log-based CDC Tailing the Transaction Logs All data changes are captured No polling delay or overhead Transparent to writing applications and models Can capture deletes Can capture old record state and further meta data https://debezium.io/blog/2018/07/19/advantages-of-log-based-change-data-capture/
16. @systemcraftsman Log vs Query based CDC Query-based Log-based All data changes are captured - No polling delay or overhead - Transparent to writing applications and models - Can capture deletes and old record state - Simple Installation/Configuration -
17. @systemcraftsman Debezium Change Event Structure • Key: PK of table • Value: Describing the change event ◦ Before state, ◦ After state, ◦ Metadata info • Serialization formats: ◦ JSON ◦ Avro • Cloud events could be used too
18. @systemcraftsman Single Message Transformations Image Source: “Penknife, Swiss Army Knife” by Emilian Robert Vicol , used under CC BY 2.0 Lightweight single message inline transformation Format conversions Time/date fields Extract new row state Aggregate sharded tables to single topic Keep compatibility with existing consumers Transformation does not interact with external systems Modify events before storing in Kafka
19. @systemcraftsman Change Data Capture Usages & Patterns
20. @systemcraftsman Data Replication Zero-Code Streaming Pipelines | | | | | | | | | | | | | | | | | | | | | MySQL PostgreSQL Apache Kafka
21. @systemcraftsman Data Replication Zero-Code Streaming Pipelines | | | | | | | | | | | | | | | | | | | | | MySQL PostgreSQL Apache Kafka Kafka Connect Kafka Connect
22. @systemcraftsman Data Replication Zero-Code Streaming Pipelines | | | | | | | | | | | | | | | | | | | | | MySQL PostgreSQL Apache Kafka Kafka Connect Kafka Connect DBZ PG DBZ MySQL
23. @systemcraftsman Data Replication Zero-Code Streaming Pipelines | | | | | | | | | | | | | | | | | | | | | MySQL PostgreSQL Apache Kafka Kafka Connect Kafka Connect DBZ PG DBZ MySQL ES Connector ElasticSearch
24. @systemcraftsman Data Replication Zero-Code Streaming Pipelines | | | | | | | | | | | | | | | | | | | | | MySQL PostgreSQL Apache Kafka Kafka Connect Kafka Connect DBZ PG DBZ MySQL ES Connector ElasticSearch SQL Connector Data Warehouse
25. @systemcraftsman Auditing Source: http://bit.ly/debezium-auditlogs | | | | | | | | DBZ CRM Service Source DB Kafka Connect Apache Kafka CDC and a bit of Kafka Streams
26. @systemcraftsman Auditing | | | | | | | | DBZ CRM Service Source DB Kafka Connect Apache Kafka Id User Use Case tx-1 Bob Create Customer tx-2 Sarah Delete Customer tx-3 Rebecca Update Customer CDC and a bit of Kafka Streams Source: http://bit.ly/debezium-auditlogs
27. @systemcraftsman Auditing | | | | | | | | DBZ CRM Service Source DB Kafka Connect Apache Kafka Id User Use Case tx-1 Bob Create Customer tx-2 Sarah Delete Customer tx-3 Rebecca Update Customer Customer Events | | | | | | Transactions CDC and a bit of Kafka Streams Source: http://bit.ly/debezium-auditlogs
28. @systemcraftsman Auditing | | | | | | | | DBZ CRM Service Source DB Kafka Connect Apache Kafka Id User Use Case tx-1 Bob Create Customer tx-2 Sarah Delete Customer tx-3 Rebecca Update Customer Customer Events | | | | | | Transactions Kafka Streams CDC and a bit of Kafka Streams Source: http://bit.ly/debezium-auditlogs
29. @systemcraftsman Auditing | | | | | | | | DBZ CRM Service Source DB Kafka Connect Apache Kafka Id User Use Case tx-1 Bob Create Customer tx-2 Sarah Delete Customer tx-3 Rebecca Update Customer Customer Events | | | | | | Transactions Kafka Streams | | | | | | | | Enriched Customers CDC and a bit of Kafka Streams Source: http://bit.ly/debezium-auditlogs
30. @systemcraftsman Auditing CDC and a bit of Kafka Streams Source: http://bit.ly/debezium-auditlogs
31. @systemcraftsman Auditing CDC and a bit of Kafka Streams Source: http://bit.ly/debezium-auditlogs
32. @systemcraftsman Auditing CDC and a bit of Kafka Streams Source: http://bit.ly/debezium-auditlogs
33. @systemcraftsman Auditing CDC and a bit of Kafka Streams Source: http://bit.ly/debezium-auditlogs
34. @systemcraftsman Microservices Propagate data between different services without coupling Each service keeps optimised views locally Microservices Data Exchange
35. @systemcraftsman Microservices Source: http://bit.ly/debezium-outbox-pattern Outbox Pattern
36. @systemcraftsman Microservices Photo: “Strangler vines on trees, seen on the Mount Sorrow hike” by cynren, under CC BY SA 2.0 Extract microservice for single component(s) Keep write requests against running monolith Stream changes to extracted microservice Test new functionality Switch over, evolve schema only afterwards Strangler Pattern
37. @systemcraftsman Mono to micro: Strangler Pattern Customer
38. @systemcraftsman Mono to micro: Strangler Pattern Customer Customer Router CDC Transformation Reads / Writes Reads
39. @systemcraftsman Mono to micro: Strangler Pattern Customer Router CDC Reads / Writes Reads / Writes CDC
40. @systemcraftsman Running on OpenShift Getting the best cloud-native Apache Kafka running on enterprise Kubernetes
41. @systemcraftsman Running on OpenShift Provides: Container images for Apache Kafka, Connect, Zookeeper and MirrorMaker Kubernetes Operators for managing/configuring Apache Kafka clusters, topics and users Kafka Consumer, Producer and Admin clients, Kafka Streams Upstream Community: Strimzi Cloud-native Apache Kafka
42. @systemcraftsman Running on OpenShift Source: YAML-based custom resource definitions for Kafka/Connect clusters, topics etc. Operator applies configuration Advantages Automated deployment and scaling Simplified upgrading Portability across clouds Deployment via Operators
43. @systemcraftsman Demo Time! https://github.com/systemcraftsman/debezium-demo
44. @systemcraftsman Thank You @systemcraftsman aykut@systemcraftsman.com aykut@redhat.com