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Basics: Introduction to Tungsten Replication
Tungsten Replicator in a Nutshell
Tungsten Replicator is…
•  Transactionally Consistent Asynchronous Replicator
•  Supports SQL (homogeneous) and Row-based (heterogeneous)
•  Database independent
•  Architecture and database neutral storage format
•  High performance
•  Flexible Extraction
•  Flexible Applying
–  JDBC
–  Native
–  Batch
•  Flexible Filtering
Transactionally Consistent Asynchronous Replicator
DBMS
Logs
MySQL/Oracle
Master Replicator:
Extractor
THL
Slave Replicator:
Applier
THL
MySQL/Oracle
T
THL
T
Sources
•  MySQL
–  Oracle MySQL to 5.6
–  Percona MySQL to 5.6
–  MySQL 5.7 supported with limited data types (full support coming 2017)
–  MariaDB 10/10.1
•  Oracle
–  Using ‘Redo Reader’, commercial license only
–  Supports 9i to 12c, SE1to EE
MySQL Extraction
DBMS
Logs
Download transactions
via network
Apply using JDBC
THL = Events + Metadata
MySQL
MySQL Binary
Logging
Option 1: Local Install
Extractor reads directly
from the logs, even when
the DBMS service is
down. This is the default.
Option 2: Remote
Extractor gets log data via
MySQL Replication Slave
protocols (which requires
the DBMS service to be
online). This is how we
handle RDS extraction
tasks.
Extractor
Options
Master Replicator:
Extractor
THL
2 1
Slave Replicator:
Applier
THL
MySQL
Oracle Extraction
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).
Targets - JDBC
•  MySQL – any version
•  Oracle – any version
Targets - Native
•  MongoDB
•  ElasticSearch, announced
•  Kafka, announced
•  More coming in 2017
Targets - Batch
•  Amazon RedShift
•  HP Vertica
•  Hadoop (native HDFS)
•  Cassandra (announced)
•  More coming in 2017
Heterogeneous
MySQL
Oracle
MongoDB
Vertica
Hadoop
Transaction History Log (THL)
•  A sequential log of each transaction
•  Read from a source in the order applied
•  Extracted with header, meta, and actual data
•  THL is used internally by replicator
•  Data extracted from source to THL
•  THL exchanged between replicators
•  Replicator converts single transaction into
–  JDBC statement
–  Native apply
–  Batched apply
Header
Metadata
Statement
Rows
Statement
Rows
Rows
Filtering
THL
THL THL
THL
T
T
T
T
T
T
What Can Filtering Do?
•  Remove THL entries
–  For example, filter by schema/table name
–  Filter by data
–  Filter by type (statement, row, DDL, DML)
•  Change Content
–  Remove a row or column
–  Change the contents of rows – for example string formats, or
–  Change the datatypes of rows – for example, an Int into Float, SET types into strings, or
date types
•  Add Data
–  Introduce entirely new transactions
–  Insert new data
–  Duplicate data into other tables
Tungsten Replicator is…
•  Transactionally Consistent Asynchronous Replicator
•  Supports SQL (Homogeneous) and Row-based (heterogeneous)
•  Database independent
•  Architecture and database neutral storage format
•  High performance
•  Flexible Extraction
•  Flexible Applying
–  JDBC
–  Native
–  Batch
•  Flexible Filtering
Upcoming Topics
•  Basic Deployment
•  How Appliers Work
•  How Extraction Works
•  Troubleshooting
•  Filtering
•  Advanced Deployments
Next Steps
•  If you would like to download the clustering software so that you can the process for
yourself, please visit: https://github.com/continuent/tungsten-replicator
•  Read the documentation at
https://docs.continuent.com/tungsten-replicator-5.1/index.html
•  If you would prefer a more technical deep dive, please contact our sales team who
will be able to take you through the details and setup a POC
Upcoming Training and Webinars
•  Tungsten Training Program
–  Training -- Tuesday, 27th June 2017, 09:00 PST, 17:00 BST, 30 minutes -- Basics:
Introduction to Tungsten Clustering
•  Continuent Webinar Program
–  Webinar -- Wednesday, 21st June 2017, 09:00 PST, 17:00 BST, 30 minutes --
Amazon RDS vs. AWS with Continuent Tungsten Clustering
For more information, contact us:
Eric Stone
COO
eric.stone@continuent.com
MC Brown
VP Products
mc.brown@continuent.com
Eero Teerikorpi
Founder, CEO
eero.teerikorpi@continuent.com
+1 (408) 431-3305

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Intro to Tungsten Replication

  • 1. Basics: Introduction to Tungsten Replication
  • 3. Tungsten Replicator is… •  Transactionally Consistent Asynchronous Replicator •  Supports SQL (homogeneous) and Row-based (heterogeneous) •  Database independent •  Architecture and database neutral storage format •  High performance •  Flexible Extraction •  Flexible Applying –  JDBC –  Native –  Batch •  Flexible Filtering
  • 4. Transactionally Consistent Asynchronous Replicator DBMS Logs MySQL/Oracle Master Replicator: Extractor THL Slave Replicator: Applier THL MySQL/Oracle T THL T
  • 5. Sources •  MySQL –  Oracle MySQL to 5.6 –  Percona MySQL to 5.6 –  MySQL 5.7 supported with limited data types (full support coming 2017) –  MariaDB 10/10.1 •  Oracle –  Using ‘Redo Reader’, commercial license only –  Supports 9i to 12c, SE1to EE
  • 6. MySQL Extraction DBMS Logs Download transactions via network Apply using JDBC THL = Events + Metadata MySQL MySQL Binary Logging Option 1: Local Install Extractor reads directly from the logs, even when the DBMS service is down. This is the default. Option 2: Remote Extractor gets log data via MySQL Replication Slave protocols (which requires the DBMS service to be online). This is how we handle RDS extraction tasks. Extractor Options Master Replicator: Extractor THL 2 1 Slave Replicator: Applier THL MySQL
  • 7. Oracle Extraction 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).
  • 8. Targets - JDBC •  MySQL – any version •  Oracle – any version
  • 9. Targets - Native •  MongoDB •  ElasticSearch, announced •  Kafka, announced •  More coming in 2017
  • 10. Targets - Batch •  Amazon RedShift •  HP Vertica •  Hadoop (native HDFS) •  Cassandra (announced) •  More coming in 2017
  • 12. Transaction History Log (THL) •  A sequential log of each transaction •  Read from a source in the order applied •  Extracted with header, meta, and actual data •  THL is used internally by replicator •  Data extracted from source to THL •  THL exchanged between replicators •  Replicator converts single transaction into –  JDBC statement –  Native apply –  Batched apply Header Metadata Statement Rows Statement Rows Rows
  • 14. What Can Filtering Do? •  Remove THL entries –  For example, filter by schema/table name –  Filter by data –  Filter by type (statement, row, DDL, DML) •  Change Content –  Remove a row or column –  Change the contents of rows – for example string formats, or –  Change the datatypes of rows – for example, an Int into Float, SET types into strings, or date types •  Add Data –  Introduce entirely new transactions –  Insert new data –  Duplicate data into other tables
  • 15. Tungsten Replicator is… •  Transactionally Consistent Asynchronous Replicator •  Supports SQL (Homogeneous) and Row-based (heterogeneous) •  Database independent •  Architecture and database neutral storage format •  High performance •  Flexible Extraction •  Flexible Applying –  JDBC –  Native –  Batch •  Flexible Filtering
  • 16. Upcoming Topics •  Basic Deployment •  How Appliers Work •  How Extraction Works •  Troubleshooting •  Filtering •  Advanced Deployments
  • 17. Next Steps •  If you would like to download the clustering software so that you can the process for yourself, please visit: https://github.com/continuent/tungsten-replicator •  Read the documentation at https://docs.continuent.com/tungsten-replicator-5.1/index.html •  If you would prefer a more technical deep dive, please contact our sales team who will be able to take you through the details and setup a POC
  • 18. Upcoming Training and Webinars •  Tungsten Training Program –  Training -- Tuesday, 27th June 2017, 09:00 PST, 17:00 BST, 30 minutes -- Basics: Introduction to Tungsten Clustering •  Continuent Webinar Program –  Webinar -- Wednesday, 21st June 2017, 09:00 PST, 17:00 BST, 30 minutes -- Amazon RDS vs. AWS with Continuent Tungsten Clustering
  • 19. For more information, contact us: Eric Stone COO eric.stone@continuent.com MC Brown VP Products mc.brown@continuent.com Eero Teerikorpi Founder, CEO eero.teerikorpi@continuent.com +1 (408) 431-3305