A presentation at KScope 19 in in Seattle, WA, USA by Robin Moffatt
Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL @rmoff #KScope19
@rmoff #KScope19 Analytics—In the beginning… Sales DWH Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
And then there were more data sources… Sales @rmoff #KScope19 DWH Inventory Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Batch Transformations … (ETL / ELT) Sales @rmoff #KScope19 DWH Inventory Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Add a Data Lake… Sales Inventory DWH Data Lake Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 …or Replace the Data Warehouse Sales Inventory Data Lake Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Still need to do Batch transformations… @rmoff #KScope19 Sales Inventory Data Lake Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Want your data anytime 🔜 ? Batch is Latency built in by Design Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 The World has Changed Internet of Things Microservices Mobile Machine Learning Photo by Denys Nevozhai on Unsplash Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Lots of new technologies @rmoff #KScope19 (whether you like it or not) Photo by Rosie Fraser on Unsplash Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 App App App App cache monitoring cache MQ DWH security MQ search Hadoop Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 App App App App request-response changelogs App App KAFKA App App DWH Hadoop messaging OR stream processing streaming data pipelines Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
“ But streaming…I’ve just got data in a database…right?
“ Bold claim: all your data is event streams
@rmoff #KScope19 A Customer Experience Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 A Sale Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 A Sensor Reading Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 An Application Log Entry Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Databases Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Time The Stream/Table Duality Stream Account ID Amount 12345 + €50 12345
Streaming Platform Vision @rmoff #KScope19 Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Streaming Platform Vision @rmoff #KScope19 Event-Driven Scalable Decoupled Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Database offload→Hadoop/Object Storage/Cloud DW for Analytics RDBMS CDC HDFS / S3 / BigQuery etc Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Streaming ETL with Apache Kafka and KSQL @rmoff #KScope19 order items CDC RDBMS customer orders customer Stream Processing Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Real-time Event Stream Enrichment with Apache Kafka and KSQL order events customer orders C D C RDBMS <y> customer Stream Processing Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Transform Once, Use Many @rmoff #KScope19 order events customer orders C D C RDBMS <y> customer Stream Processing New App <x> Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Transform Once, Use Many @rmoff #KScope19 order events customer orders C D C RDBMS <y> HDFS / S3 / etc customer Stream Processing New App <x> Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Evolve processing from old systems to new Existing App @rmoff #KScope19 New App <x> C D C RDBMS Stream Processing Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Evolve processing from old systems to new Existing App @rmoff #KScope19 New App <x> New App <y> C D C RDBMS Stream Processing Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Streaming ETL, powered by Apache Kafka and Confluent Platform KSQL Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Let’s Build It! Push notification Rating events Operational Dashboard User data Join events to users, and filter Data Lake Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Let’s Build It! Push notification Rating events App App Operational Dashboard Elasticsearch User data Oracle KSQL Join events to users, and filter Data Lake SnowflakeDB/ S3/HDFS/etc Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Kafka Connect 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 Oracle Pro d I P A r e m Operational Dashboard Elasticsearch n Co User data Push notification to Slack @rmoff #KScope19 Join events to users, and filter Data Lake SnowflakeDB/ S3/HDFS/etc Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Streaming Integration with Kafka Connect @rmoff #KScope19 Amazon S3 syslog Google BigQuery Tasks Workers Kafka Connect Kafka Brokers Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Kafka Connect Reliable and scalable integration of Kafka with other systems – no coding required. { “connector.class”: “io.confluent.connect.jdbc.JdbcSourceConnector”, “connection.url”: “jdbc:mysql://localhost:3306/demo?user=rmoff&password=foo”, “table.whitelist”: “sales,orders,customers” } https://docs.confluent.io/current/connect/ Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Serialisation & Schemas Avro -> Confluent Schema Registry Protobuf JSON CSV https://qconnewyork.com/system/files/presentation-slides/qcon_17_-_schemas_and_apis.pdf Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 The Confluent Schema Registry Avro Schema Schema Registry Target Source Kafka Connect Avro Message Avro Message Kafka Connect Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Confluent Hub hub.confluent.io Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Change-Data-Capture (CDC) @rmoff #KScope19 • CDC is a generic term referring to capturing changing data typically from a RDBMS. • Two general approaches: • Query-based CDC • Log-based CDC There are other options including hacks with Triggers, Flashback etc but these are system and/or technology-specific. Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Query-based CDC @rmoff #KScope19 • Use a database query to try and identify new & changed rows SELECT * FROM my_table WHERE col > <value of col last time we polled> • Implemented with the open source Kafka Connect JDBC connector • Can import based on table names, schema, or bespoke SQL query • Incremental ingest driven through incrementing ID column and/or timestamp column Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Log-based CDC @rmoff #KScope19 • Use the database’s transaction log to identify every single change event • Various CDC tools available that integrate with Apache Kafka (more of this later…) Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Query-based vs Log-based CDC Photo by Matese Fields on Unsplash @rmoff #KScope19 • Query-based +Usually easier to setup, and requires fewer permissions - Needs specific columns in source schema - Impact of polling the DB (or higher latencies tradeoff) - Can’t track deletes, or multiple events between polling interval Read more: http://cnfl.io/kafka-cdc Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Query-based vs Log-based CDC • Log-based +Greater data fidelity +Lower latency +Lower impact on source - More setup steps - Higher system privileges required - For propriatory databases, usually $$$ Read more: http://cnfl.io/kafka-cdc Photo by Sebastian Pociecha on Unsplash Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Oracle and Kafka integration •Oracle GoldenGate for Big Data—Requires the OGGBD licence, not just OGG •Debezium—Open source, Oracle support in Beta • currently uses XStream— which requires OGG licence •Attunity, IBM IIDR, HVR, SQData, tcVision, StreamSets—all offer commerical CDC integration into Kafka with support for Schema Registry • DBVisit Replicate—no longer under development •JDBC Connector—Open source, but not “true” CDC https://rmoff.net/2018/12/12/streaming-data-from-oracle-into-kafka-december-2018/ Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Streaming ETL, powered by Apache Kafka and Confluent Platform KSQL Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Stream Processing with KSQL Push notification to Slack Rating events @rmoff #KScope19 App App Operational Dashboard Elasticsearch User data Oracle KSQL Join events to users, and filter Data Lake SnowflakeDB/ S3/HDFS/etc Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 KSQL is the Streaming SQL Engine for Apache Kafka Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Filter messages with KSQL completedOrders orders → → → → → → → → → → → 01, £10.00, 05, £10.00, 06, £24.00, 02, £12.33, 04, £5.50, → COMPLETE COMPLETE COMPLETE PENDING COMPLETE CREATE STREAM completedOrders AS SELECT * FROM orders WHERE status=’COMPLETE’; → → → → → → → → → → → 01, £10.00, 06, £24.00, 02, £12.33, 04, £5.50, → COMPLETE COMPLETE COMPLETE COMPLETE Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Drop columns with KSQL customer → → → → → → → → → → →→ {“id”:1, {“id”:2, {“id”:3, “name”:”Dana Lidgerton”, “name”:”Milo Wellsman”, “name”:”Dolph Cleeton”, “card”:”5048370182840140} “card”:”3557977885537506} “card”:”3586303633007251} CREATE STREAM customerNoCC AS SELECT ID, NAME customerNoCC FROM customer; → → → → → → → → → → →→ {“id”:1, {“id”:2, {“id”:3, “name”:”Dana Lidgerton”} “name”:”Milo Wellsman”} “name”:”Dolph Cleeton”} Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Stateful aggregation with KSQL customersByCountry customer → → → → → → → → → → →→ {“id”:1, {“id”:2, {“id”:3, “name”:”Dana Lidgerton”, “name”:”Milo Wellsman”, “name”:”Dolph Cleeton”, “country”:”UK”} “country”:”UK”} “country”:”Germany”} CREATE STREAM customersByCountry AS SELECT country, COUNT(*) AS customerCount FROM customer WINDOW TUMBLING (SIZE 1 HOUR) GROUP BY country; → → → → → → → → → → →→ {“country”:”UK”, {“country”:”Germany”, “customerCount”:2} “customerCount”:1} Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 KSQL for Anomaly Detection Identifying patterns or anomalies in real-time data, surfaced in milliseconds CREATE TABLE possible_fraud AS SELECT card_number, count() FROM authorization_attempts WINDOW TUMBLING (SIZE 5 SECONDS) GROUP BY card_number HAVING count() > 3; Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 KSQL for Data Transformation Make simple derivations of existing topics from the command line CREATE STREAM pageviews WITH (PARTITIONS=4, VALUE_FORMAT=’AVRO’) AS SELECT * FROM pageviews_json; Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 KSQL for Streaming ETL Joining, filtering, and aggregating streams of event data CREATE STREAM vip_actions AS SELECT userid, page, action FROM clickstream c LEFT JOIN users u ON c.userid = u.user_id WHERE u.level = ‘Platinum’; Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
KSQL in Development and Production Interactive KSQL for development and testing @rmoff #KScope19 Headless KSQL for Production REST Desired KSQL queries have been identified “Hmm, let me try out this idea…” Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 Streaming ETL, powered by Apache Kafka and Confluent Platform KSQL Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Demo Time!
@rmoff #KScope19 Push notification Rating events App App Kafka Connect a fk t Ka ec n Oracle Elasticsearch n Co User data a k f a K t c e n n o C Operational Dashboard KSQL Join events to users, and filter Data Lake SnowflakeDB/ S3/HDFS/etc Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 http://cnfl.io/book-bundle Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 CONFLUENT COMMUNITY DISCOUNT CODE KS19Meetup. 25% OFF* *Standard Priced Conference pass Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
@rmoff #KScope19 https://www.confluent.io/download/ http://cnfl.io/kafka-cdc http://cnfl.io/slack @rmoff robin@confluent.io No More Silos: Integrating Databases and Apache Kafka
@rmoff #KScope19 #EOF Streaming ETL in Practice with Oracle, Apache Kafka, and KSQL
Have you ever thought that you needed to be a programmer to do stream processing and build streaming data pipelines? Think again!
Companies new and old are all recognizing the importance of a low-latency, scalable, fault-tolerant data backbone in the form of the Apache Kafka streaming platform. With Kafka, developers can integrate multiple sources and systems, which enables low-latency analytics, event-driven architectures, and the population of multiple downstream systems. These data pipelines can be built using configuration alone.
In this talk, we’ll see how easy it is to stream data from a database such as Oracle into Kafka using CDC and Kafka Connect. In addition, we’ll use KSQL to filter, aggregate, and join it to other data, and then stream this from Kafka out into multiple targets such as Elasticsearch and S3. All of this can be accomplished without a single line of code!
Why should Java geeks have all the fun?
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