Oracle GoldenGate and Apache Kafka A Deep Dive Into Real-Time Data Streaming
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Transcript of Oracle GoldenGate and Apache Kafka A Deep Dive Into Real-Time Data Streaming
[email protected] www.rittmanmead.com @rittmanmead 1
[email protected] www.rittmanmead.com @rittmanmead
Michael Rainey | KScope16
Oracle GoldenGate and Apache Kafka: A Deep Dive Into Real-Time Data Streaming
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[email protected] www.rittmanmead.com @rittmanmead
Introduction
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• Michael Rainey - Data Integration Lead - America- Oracle Data Integration expertise - Blog: http://ritt.md/mRainey - Oracle ACE Director
@mRainey
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About Rittman Mead
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•World’s leading specialist partner for technical excellence, solutions delivery and innovation in Oracle Data Integration, Business Intelligence, Analytics and Big Data
•Providing our customers targeted expertise; we are a company that doesn’t try to do everything… only what we excel at
•70+ consultants worldwide including 1 Oracle ACE Director and 3 Oracle ACEs, offering training courses, global services, and consulting
•Founded on the values of collaboration, learning, integrity and getting things done
Unlock the potential of your organization’s data
•Comprehensive service portfolio designed to support the full lifecycle of any analytics solution
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Ongoing SupportEngagement Toolkit
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Typical Example - Marketing
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• Financial data stored in RDBMS• Social media data, web logs, Google analytics, etc all in
various formats• Bring it all together for analysis ‣ Marketing campaign effect on sales
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Relational Data Replication - Oracle GoldenGate
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Streaming Data - Apache Kafka
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“Publish-subscribe messaging rethought as a distributed commit log”
Image source: kafka.apache.org/
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Streaming Data - Apache Kafka
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Image source: kafka.apache.org/
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Kafka - How is it used?
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• Pure Event Streams• System Metrics• Derived Streams• Hadoop Data Loads / Data Publishing• Application Logs• Database Changes- Log Compaction - Data cleansing
Image source: confluent.io
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Let’s Jump Right In
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• An example…near and dear to my heartOne single view of the Oracle Data Integrator logs!
- Oracle Data Integrator session logs stored in the repository - ODI Agent logs are text based log files - To see the full picture of your ODI environment, they must be
combined
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oracle.com/technetwork/database/bigdata-appliance/downloads
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Oracle GoldenGate for Big Data - we talked about this…
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Extract from the ODI Repository with GoldenGate 12c
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• Prepare the database • Setup GoldenGate for Oracle Database- Install and configure • Setup Manager, Extract and Pump parameter files• Add Extract and Pump process groups• Start!
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Prepare the Database for GoldenGate Extract - OGG User
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Prepare the Database for GoldenGate Extract - Logging
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Stream ODI Agent Logs to Kafka via Logstash
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• Application log processing is a standard use for Kafka- Many approaches to extract logs • Logstash- Part of the Elastic (formerly ELK) stack - Robin Moffatt blogged —> http://ritt.md/kafka-elk - Producer configuration for Kafka
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Logstash to Kafka - Setup and Startup
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• Startup Zookeeper- Already installed on Big Data Lite • Set Kafka server.properties- Broker ID - Number of partitions - Log retention period - Zookeeper connection • Start Kafka
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Setup Logstash Configuration File
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• Configuration File
• Start Logstash
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ODI Agent Logs to Kafka!
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• Start the Kafka Console Consumer - delivered with Kafka
• Start the ODI Agent and…messages!
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Oracle GoldenGate for Big Data
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• Kafka one of many handlers- HDFS, HBase, Flume • Pluggable Formatters- Convert trail file transactions to alternate format - Avro, delimited text, JSON, XML • Metadata Provider- Handles mapping of source to target columns that differ in structure/name - Similar to SOURCEDEF file in GoldenGate - Avro or Hive
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Oracle GoldenGate for Big Data - Kafka Handler
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• Standard GoldenGate Extract / Pump processes- We just set this up • Replicat parameter file & process group• Kakfa Handler configuration• Kafka Producer properties- Note: Kafka 0.9.0+ now certified with GoldenGate for Big Data
12.2.1.1
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GoldenGate and Kafka…Prerequisites
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• Zookeeper & Kafka up and running• Add topic to broker up front vs dynamically- Option to create a topic per table (12.2.0.1.1) • Kafka Handler must have access to broker server• Kafka libraries must match Kafka version
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GoldenGate and Kafka…Kafka Handler Properties
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• Properties allow communication between the GoldenGate adapter and Kafka
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GoldenGate and Kafka…Kafka Handler Properties
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• gg.handlerlist = kafkahandler• gg.handler.kafkahandler.type = kafka• gg.handler.kafkahandler.KafkaProducerConfigFile = kafka_producer.properties• gg.handler.kafkahandler.TopicName = odirepo- Kafka topic name • gg.handler.kafkahandler.format = json- Pluggable Formatter - Avro recommended for Kafka… • gg.handler.kafkahandler.BlockingSend = true|false • gg.handler.kafkahandler.includeTokens = true|false • gg.handler.kafkahandler.mode = tx- Transaction vs Operation mode
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GoldenGate and Kafka…One Topic Per Table
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• gg.handler.kafkahandler.topicPartitioning=table - Option to split schema into one topic per table- Can be created dynamically• gg.handler.kafkahandler.mode=op - Operation mode to track individual table operations
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GoldenGate and Kafka…Kafka Handler Properties
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• goldengate.userexit.timestamp = utc• goldengate.userexit.writers = javawriter• javawriter.stats.display = TRUE• javawriter.stats.full = TRUE• gg.log = log4j• gg.log.level = INFO• gg.report.time = 30sec• gg.classpath = dirprm/:/u01/kafka/kafka_2.10-0.8.2.1/libs/*:- Location of the Kafka libraries• javawriter.bootoptions = -Xmx512m -Xms32m -Djava.class.path=ggjava/ggjava.jar
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GoldenGate and Kafka…Kafka Producer Configuration
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• Access to the Kafka producer configuration parameters
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GoldenGate and Kafka…Startup
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• Create a topic in Kakfa
• Add Replicat process group to GoldenGate on target
• Start Kafka console consumer
• Start GoldenGate extract/pump on source, replicat on target
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Schemas…
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• Schema automatically created - Stored in <ogg_home>/dirdef directory - Based on gg.handler.kafkahandler.format setting
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Schemas…
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• Schema automatically created - Stored in <ogg_home>/dirdef directory - Based on gg.handler.kafkahandler.format setting
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Schemas…
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• Schema automatically created - Stored in <ogg_home>/dirdef directory - Based on gg.handler.kafkahandler.format setting
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GoldenGate Big Data Adapter - What to Think About
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• GoldenGate could be a single point of failure - Kafka is a fault-tolerant, distributed system • Source transactions may end up larger than expected - max.request.size • Need for speed?- batch.size - linger.ms - BlockingSend = false
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Why GoldenGate with Kafka?
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• GoldenGate- …is non-invasive - …has checkpoints for recovery - …moves data quickly - …is easy to setup
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In conclusion
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• The new data challenge, not quite as challenging with Kafka- Kafka throughout
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In conclusion
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• The new data challenge, not quite as challenging with Kafka- Kafka throughout
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Questions?
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• Websites- kafka.apache.org - rittmanmead.com/blog • Contact- [email protected] - [email protected] • Twitter- @rittmanmead - @apachekafka - @mRainey
[email protected] www.rittmanmead.com @rittmanmead
Questions?
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• Websites- kafka.apache.org - rittmanmead.com/blog • Contact- [email protected] - [email protected] • Twitter- @rittmanmead - @apachekafka - @mRainey
[email protected] www.rittmanmead.com @rittmanmead
Rittman Mead at KScope16
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Oracle GoldenGate and Apache Kafka: A Deep Dive into Real-Time Data Streaming
Michael Rainey | Monday Jun 27, 4:30pm | Level 2 - Missouri
Free-Form Data Visualizations: First Session
Charles Elliott | Tuesday Jun 28, 8:30am | Level 2 - Superior ALunch & Learn: BI and Data Warehousing
Michael Rainey | Tuesday Jun 28, 12:45pm | Ballroom Level - Sheraton IILunch & Learn: Big Data and Advanced Analytics
Mark Rittman | Tuesday Jun 28, 12:45pm | Ballroom Level - Sheraton IIIOBIEE 12c and Essbase: What’s New for Integration and Reporting Against EPM Sources
Mark Rittman | Wednesday Jun 29, 10:15am | Ballroom Level - Sheraton III
A Walk Through the Kimball ETL Subsystems with Oracle Data Integration
Michael Rainey | Wednesday Jun 29, 11:30am | Level 2 - MayfairHow to Brand and Own Your OBIEE Interface: Past, Present, and Future
Andy Rocha & Pete Tamisin | Wednesday Jun 29, 2:00 pm | Ballroom Level - Sheraton III
Free-Form Data Visualizations: Second Session
Charles Elliott | Wednesday Jun 29, 2:00pm | Level 2 - Superior AOracle Big Data Discovery: Extending into Machine Learning and Advanced Visualizations
Mark Rittman | Wednesday Jun 29, 3:15pm | Level 2 - Missouri
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