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Brothers in Arms How to Make MySQL and PostgreSQL Work Together - PowerPoint PPT Presentation

Brothers in Arms How to Make MySQL and PostgreSQL Work Together Charly Batista Senior Support Engineer Santa Clara, California | April 23th 25th, 2018 Agenda Introduction Replication - PostgreSQL Replication - MySQL Replication


  1. Brothers in Arms How to Make MySQL and PostgreSQL Work Together Charly Batista Senior Support Engineer Santa Clara, California | April 23th – 25th, 2018

  2. Agenda • Introduction • Replication - PostgreSQL Replication - MySQL Replication • Challenges • Available solutions - SymmetricDS - Tungsten Replicator - Apache Kafka with Debezium • Demo � 2

  3. Introduction Why replicate data between different databases? • Migrate data from one database to the another with minimal downtime • Feed legacy/in-house systems with web transactions • DW and Reporting • Use the correct technology assets (GEO, Sync Replication, json, etc) � 3

  4. Replication

  5. Replication PostgreSQL Streaming Replication • Physical replication (blocks, byte-by- byte) • Not possible with different major versions • Slaves readable, not writeable • Slaves have same structure as master • Complex timeline control • Re-sync slave often requires new BKP � 5

  6. Replication PostgreSQL Logical Replication (10+) • Uses a publish and subscribe model • Slaves can now be writable • Now possible with different major versions • Transactional consistency is guaranteed for publications within a single subscription • Better granularity and control • Doesn’t replicate DDL � 6

  7. Replication MySQL • Logical Replication • Slaves can be writable • Possible with different major versions* • Good granularity and control • Replicates schema and data � 7

  8. Available solutions

  9. Available solutions SymmetricDS • Trigger based • Scalable • Asynchronous • One way and multi-master • Routing • Filtered Synchronization • Transformation Capabilities � 9

  10. Available solutions Tungsten Replicator • Row-based (heterogeneous) • Asynchronous • Transactionally Consistent • Flexible Extraction • Filtered Synchronization • Transformation Capabilities � 10

  11. Available solutions Debezium (Apache Kafka) • Row-based • Asynchronous/Queue (topics) • Publish/Subscriber model • Transactionally Consistent • Flexible Extraction • Filtered Synchronization • Transformation Capabilities � 11

  12. Challenges There are many challenges when replicating from different DB’s: • Data Type Differences • Provisioning • Database vs. Schema • SQL Dialect Differences • … � 12

  13. Demo Click to add text

  14. Questions? Click to add text

  15. Rate My Session � 15

  16. Thank You Sponsors!! � 16

  17. Thank You!

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