Oracle GoldenGate and Apache Kafka Deep Dive

info@rittmanmead.com www.rittmanmead.com @rittmanmead 1

info@rittmanmead.com www.rittmanmead.com @rittmanmead
Michael Rainey | KScope16
Oracle GoldenGate and Apache Kafka: A Deep Dive Into Real-Time Data Streaming
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Introduction
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• Michael Rainey - Data Integration Lead - America

- Oracle Data Integration expertise
- Blog: http://ritt.md/mRainey
- Oracle ACE Director
@mRainey

About Rittman Mead
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Today’s New Data Challenge
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Data Integration Today
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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

Relational Data Replication - Oracle GoldenGate
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Oracle GoldenGate for Big Data (Then)
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Oracle GoldenGate for Big Data (Now)
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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/

Streaming Data - Apache Kafka
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Image source: kafka.apache.org/

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

Let’s Jump Right In
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• An example…near and dear to my heart 
 
 
One 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

oracle.com/technetwork/database/bigdata-appliance/downloads

Oracle GoldenGate for Big Data - we talked about this…
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ODI Agent Logs to Kafka via Logstash
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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!

Prepare the Database for GoldenGate Extract - OGG User
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Prepare the Database for GoldenGate Extract - Logging
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Add Table Supplemental Logging
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GoldenGate Manager Parameter File - Source
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GoldenGate Extract Parameter File
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GoldenGate Pump Parameter File
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Add Extract and Pump Process Groups
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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

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

Setup Logstash Configuration File
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• Configuration File

• Start Logstash

ODI Agent Logs to Kafka!
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• Start the Kafka Console Consumer - delivered with Kafka

• Start the ODI Agent and…messages!

ODI Agent Logs to Kafka!
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GoldenGate Transactions to Kafka
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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

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

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

GoldenGate and Kafka…Replicat Parameters
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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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• 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

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.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

GoldenGate and Kafka…Kafka Producer Configuration
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• Access to the Kafka producer configuration parameters
More on this later

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

GoldenGate and Kafka Integration Complete!
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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

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

Why GoldenGate with Kafka?
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• GoldenGate

- …is non-invasive
- …has checkpoints for recovery
- …moves data quickly
- …is easy to setup

In conclusion
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• The new data challenge, not quite as challenging with Kafka

- Kafka throughout

Questions?
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Questions?
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• Websites

- kafka.apache.org
- rittmanmead.com/blog
• Contact

- info@rittmanmead.com
- michael.rainey@rittmanmead.com
• Twitter

- @rittmanmead
- @apachekafka
- @mRainey

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 A

Lunch & Learn: BI and Data Warehousing
Michael Rainey | Tuesday Jun 28, 12:45pm | Ballroom Level -
Sheraton II

Lunch & Learn: Big Data and Advanced Analytics
Mark Rittman | Tuesday Jun 28, 12:45pm | Ballroom Level -
Sheraton III

OBIEE 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 -
Mayfair

How 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 A

Oracle Big Data Discovery: Extending into Machine
Learning and Advanced Visualizations
Mark Rittman | Wednesday Jun 29, 3:15pm | Level 2 -
Missouri

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Oracle GoldenGate and Apache Kafka Deep Dive

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