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Tungsten Replicator for Oracle
A Real Oracle GoldenGate Alternative
Topics
In todays Webinar, we will discus:
•  How Tungsten Replicator works with Oracle
•  How Oracle to Oracle Replication Operates
•  How to Replicate from Oracle to Cassandra and Kafka
•  Mix and match replication pipes
2
Replication solves important problems for RDBMS users
•  Real-time local copies in case the DBMS fails
•  Real-time remote copies in case the site fails
•  Loading data quickly into analytic systems
•  Feeding edge applications from the Oracle mother ship
•  Migrating from/to:
– New versions
– Less expensive editions
– Different RDBMS types, e.g., Enterprise to Standard
3
Logical Replication applies transactions in serial order to targets
4
Target
Oracle
Transaction Log
(Row Changes + Statements)
0 CREATE TABLE db1.foo;
1 CREATE TABLE db2.food;
2 INSERT INTO db1.foo VALUES (1,…);
3 UPDATE db1.foo SET… WHERE id=1;
4 INSERT INTO db2.foo VALUES (5,…);
5 INSERT INTO db1.foo VALUES (3,…);
6 DELETE FROM db1.foo WHERE id=5;
Tungsten Replicator implements flexible, high-performance replication
5
DBMS
Logs
Download transactions
via network
Apply using JDBC
THL = Events + Metadata
Redo Logging
Master Replicator:
Extractor
THL
Slave Replicator:
Applier
THL
TargetOracle
Redo ReaderGenerated
PLOG
Extractor gets event
data by reading the
PLOG files generated by
the Redo Reader (PLOG
generation requires the
DBMS service to be
online).
Tungsten Replicator Internals: Extractor (Master)
6
Tungsten Replicator Internals: Applier (Slave)
7
Tungsten Replicator: Batch Loading for Big Data targets
8
Master Replicator
CSV FS
JSSlave Replicator
• Hadoop
• Vertica
• Redshift
• Mongo
• Cassandra
• Kafka
Tungsten Replicator places minimal demands on Source and Target instances
•  Source Oracle DBMS requirements:
–  Supplemental logging
–  Archive logs
–  Replicator metadata stored in DBMS
–  Replicator login with access to catalogs and flashback query
–  Local process to read REDO logs
•  Target Oracle DBMS requirements:
–  Replicator metadata stored in DBMS
9
Tungsten Replicator supports a wide range of topologies: Fan-In
10
Oracle Oracle
MySQL
Amazon RedShift
Hadoop
Vertica
Cassandra
Kafka
Oracle
Oracle
Extractor
Extractor
Extractor
Applier
Tungsten Replicator supports a wide range of topologies: Fan-Out
11
Oracle
MySQL
Amazon RedShift
Hadoop
Vertica
Elasticsearch
Cassandra
Kafka
Oracle
Extractor Applier
Applier
Applier
Tungsten Replicator and Oracle GoldenGate
12
•  Oracle, MySQL Sources
•  Mix and match versions for migration, upgrades
•  Oracle, MySQL, Hadoop, Kafka, Mongo, Elasticsearch, Cassandra, Vertica,
RedShift Targets, more added
•  Flexible filtering and data manipulation
•  Single source to multiple targets, multiple sources to single target
•  Core is open source
•  Pricing based on pipelines, not CPU or host
Let’s see it in Action!
Oracle
12.1.0.2
Cassandra
Kafka
Oracle
12.1.0.2
Extractor Applier
Applier
Applier
13
Next Steps
•  If you are interested in knowing more about Tungsten Replicator and would like to try it out for
yourself, please contact our sales team who will be able to take you through the details and
setup a POC – sales@continuent.com
•  Read the documentation at http://docs.continuent.com/tungsten-replicator-5.2/index.html
•  Subscribe to our Tungsten University YouTube channel! http://tinyurl.com/TungstenUni
14
For more information, contact us:
Eric Stone
COO
eric.stone@continuent.com
MC Brown
VP Products
mc.brown@continuent.com
Chris Parker
Director, Professional Services EMEA & APAC
chris.parker@continuent.com
Eero Teerikorpi
Founder, CEO
eero.teerikorpi@continuent.com
+1 (408) 431-3305

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Training Slides: 351 - Tungsten Replicator for Data Warehouses
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Training Slides: 206 - Using the Tungsten Cluster AMI
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Training Slides: 253 - Filter like a Pro
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Training Slides: 252 - Monitoring & Troubleshooting
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Training Slides: 302 - Securing Your Cluster With SSL
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Oracle to Cassandra Replication

  • 1. Tungsten Replicator for Oracle A Real Oracle GoldenGate Alternative
  • 2. Topics In todays Webinar, we will discus: •  How Tungsten Replicator works with Oracle •  How Oracle to Oracle Replication Operates •  How to Replicate from Oracle to Cassandra and Kafka •  Mix and match replication pipes 2
  • 3. Replication solves important problems for RDBMS users •  Real-time local copies in case the DBMS fails •  Real-time remote copies in case the site fails •  Loading data quickly into analytic systems •  Feeding edge applications from the Oracle mother ship •  Migrating from/to: – New versions – Less expensive editions – Different RDBMS types, e.g., Enterprise to Standard 3
  • 4. Logical Replication applies transactions in serial order to targets 4 Target Oracle Transaction Log (Row Changes + Statements) 0 CREATE TABLE db1.foo; 1 CREATE TABLE db2.food; 2 INSERT INTO db1.foo VALUES (1,…); 3 UPDATE db1.foo SET… WHERE id=1; 4 INSERT INTO db2.foo VALUES (5,…); 5 INSERT INTO db1.foo VALUES (3,…); 6 DELETE FROM db1.foo WHERE id=5;
  • 5. Tungsten Replicator implements flexible, high-performance replication 5 DBMS Logs Download transactions via network Apply using JDBC THL = Events + Metadata Redo Logging Master Replicator: Extractor THL Slave Replicator: Applier THL TargetOracle Redo ReaderGenerated PLOG Extractor gets event data by reading the PLOG files generated by the Redo Reader (PLOG generation requires the DBMS service to be online).
  • 6. Tungsten Replicator Internals: Extractor (Master) 6
  • 7. Tungsten Replicator Internals: Applier (Slave) 7
  • 8. Tungsten Replicator: Batch Loading for Big Data targets 8 Master Replicator CSV FS JSSlave Replicator • Hadoop • Vertica • Redshift • Mongo • Cassandra • Kafka
  • 9. Tungsten Replicator places minimal demands on Source and Target instances •  Source Oracle DBMS requirements: –  Supplemental logging –  Archive logs –  Replicator metadata stored in DBMS –  Replicator login with access to catalogs and flashback query –  Local process to read REDO logs •  Target Oracle DBMS requirements: –  Replicator metadata stored in DBMS 9
  • 10. Tungsten Replicator supports a wide range of topologies: Fan-In 10 Oracle Oracle MySQL Amazon RedShift Hadoop Vertica Cassandra Kafka Oracle Oracle Extractor Extractor Extractor Applier
  • 11. Tungsten Replicator supports a wide range of topologies: Fan-Out 11 Oracle MySQL Amazon RedShift Hadoop Vertica Elasticsearch Cassandra Kafka Oracle Extractor Applier Applier Applier
  • 12. Tungsten Replicator and Oracle GoldenGate 12 •  Oracle, MySQL Sources •  Mix and match versions for migration, upgrades •  Oracle, MySQL, Hadoop, Kafka, Mongo, Elasticsearch, Cassandra, Vertica, RedShift Targets, more added •  Flexible filtering and data manipulation •  Single source to multiple targets, multiple sources to single target •  Core is open source •  Pricing based on pipelines, not CPU or host
  • 13. Let’s see it in Action! Oracle 12.1.0.2 Cassandra Kafka Oracle 12.1.0.2 Extractor Applier Applier Applier 13
  • 14. Next Steps •  If you are interested in knowing more about Tungsten Replicator and would like to try it out for yourself, please contact our sales team who will be able to take you through the details and setup a POC – sales@continuent.com •  Read the documentation at http://docs.continuent.com/tungsten-replicator-5.2/index.html •  Subscribe to our Tungsten University YouTube channel! http://tinyurl.com/TungstenUni 14
  • 15. For more information, contact us: Eric Stone COO eric.stone@continuent.com MC Brown VP Products mc.brown@continuent.com Chris Parker Director, Professional Services EMEA & APAC chris.parker@continuent.com Eero Teerikorpi Founder, CEO eero.teerikorpi@continuent.com +1 (408) 431-3305