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Real-Time Event
Processing with CDC
Guilherme Nogueira, Senior Solutions
Architect
Guilherme Nogueira
■ Senior Solutions Architect @ ScyllaDB
■ Previously at IBM
■ Loves all things open source
■ Just got a new puppy!
■ What is CDC?
■ Use cases
■ Comparison
■ Record types
■ Consuming CDC data
Presentation Agenda
What is CDC?
Change Data Capture – CDC
Consumable modification record for one or more tables
■ Key Feature of ScyllaDB (GA'd in 4.3/2021.1)
■ Constantly receiving improvements
■ Capture changes (write/delete/updates)
■ Each change can trigger an event
■ Asynchronously readable by a Consumer
■ Unified for both CQL and DynamoDB Streams
Use Cases
Where and How is CDC Used
■ Database Replication (Elasticsearch)
■ Notification Systems
■ External Cache Invalidation
■ In-flight Analytics
■ Such as Fraud Detection
■ Downstream Application Triggers
Comparison
How does ScyllaDB CDC Compares Against ...
Cassandra DynamoDB MongoDB ScyllaDB
Consumer location on-node off-node off-node off-node
Replication duplicated deduplicated deduplicated deduplicated
Deltas yes limited partial optional
Pre-image no yes no optional
Post-image no yes yes optional
Slow consumer
reaction
Table stopped Consumer loses data Consumer loses data Consumer loses data
Ordering no yes yes yes
Record Types
What do I Get Out of CDC?
Delta Preimage Postimage
'full': contain
information about every
modified column
'keys': only the primary
key of the change will
be recorded
'false': Disables the
feature
'true': contain only the
columns that were
changed by the write
‘full’: contain the entire
row (how it was before
the write was made)
'false': Disables the
feature
'true': show the affected
row’s state after the
write. Postimage row
always contains all the
columns no matter if they
were affected by the
change or not
What was changed? What was before? What’s the end result?
Consuming CDC Data
How to Consume CDC Data
■ CDC data is available through normal CQL
■ Easy to read raw streams
■ Already de-duplicated
■ All delta and pre image values are normal CQL data
■ Can consume without knowledge of server internals
■ Layered approach
■ CDC core functionality relatively simple. Allows for more sophisticated
adaptors
■ Push models etc.
Integration Libraries
■ High(er) level CDC consumer libraries with examples:
■ Java – https://github.com/scylladb/scylla-cdc-java
■ Go – https://github.com/scylladb/scylla-cdc-go
■ Rust – https://github.com/scylladb/scylla-cdc-rust
■ Python - coming
■ Kafka integration https://github.com/scylladb/scylla-cdc-source-
connector
Wrap Up
■ Easy to integrate and consume
■ Plain tables
■ Robust
■ Replicated in same way as normal data
■ Benefits from all read path improvements
■ Reasonable overhead
■ Coalesced writes to same replica ranges
■ Overhead is comparable to adding another table
■ Does not overflow if consumer fails to act
■ Data is TTL'd
Why CDC on ScyllaDB?
Stay in Touch
Guilherme Nogueira
guilherme.nogueira@scylladb.com
hopugop
https://www.linkedin.com/in/guilherme-nogueira-
4740a116/
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Ad

ScyllaDB Real-Time Event Processing with CDC

  • 1. Real-Time Event Processing with CDC Guilherme Nogueira, Senior Solutions Architect
  • 2. Guilherme Nogueira ■ Senior Solutions Architect @ ScyllaDB ■ Previously at IBM ■ Loves all things open source ■ Just got a new puppy!
  • 3. ■ What is CDC? ■ Use cases ■ Comparison ■ Record types ■ Consuming CDC data Presentation Agenda
  • 5. Change Data Capture – CDC Consumable modification record for one or more tables ■ Key Feature of ScyllaDB (GA'd in 4.3/2021.1) ■ Constantly receiving improvements ■ Capture changes (write/delete/updates) ■ Each change can trigger an event ■ Asynchronously readable by a Consumer ■ Unified for both CQL and DynamoDB Streams
  • 7. Where and How is CDC Used ■ Database Replication (Elasticsearch) ■ Notification Systems ■ External Cache Invalidation ■ In-flight Analytics ■ Such as Fraud Detection ■ Downstream Application Triggers
  • 9. How does ScyllaDB CDC Compares Against ... Cassandra DynamoDB MongoDB ScyllaDB Consumer location on-node off-node off-node off-node Replication duplicated deduplicated deduplicated deduplicated Deltas yes limited partial optional Pre-image no yes no optional Post-image no yes yes optional Slow consumer reaction Table stopped Consumer loses data Consumer loses data Consumer loses data Ordering no yes yes yes
  • 11. What do I Get Out of CDC? Delta Preimage Postimage 'full': contain information about every modified column 'keys': only the primary key of the change will be recorded 'false': Disables the feature 'true': contain only the columns that were changed by the write ‘full’: contain the entire row (how it was before the write was made) 'false': Disables the feature 'true': show the affected row’s state after the write. Postimage row always contains all the columns no matter if they were affected by the change or not What was changed? What was before? What’s the end result?
  • 13. How to Consume CDC Data ■ CDC data is available through normal CQL ■ Easy to read raw streams ■ Already de-duplicated ■ All delta and pre image values are normal CQL data ■ Can consume without knowledge of server internals ■ Layered approach ■ CDC core functionality relatively simple. Allows for more sophisticated adaptors ■ Push models etc.
  • 14. Integration Libraries ■ High(er) level CDC consumer libraries with examples: ■ Java – https://github.com/scylladb/scylla-cdc-java ■ Go – https://github.com/scylladb/scylla-cdc-go ■ Rust – https://github.com/scylladb/scylla-cdc-rust ■ Python - coming ■ Kafka integration https://github.com/scylladb/scylla-cdc-source- connector
  • 16. ■ Easy to integrate and consume ■ Plain tables ■ Robust ■ Replicated in same way as normal data ■ Benefits from all read path improvements ■ Reasonable overhead ■ Coalesced writes to same replica ranges ■ Overhead is comparable to adding another table ■ Does not overflow if consumer fails to act ■ Data is TTL'd Why CDC on ScyllaDB?
  • 17. Stay in Touch Guilherme Nogueira [email protected] hopugop https://www.linkedin.com/in/guilherme-nogueira- 4740a116/