Asynchronous cascading master to multiple replicas Asynchronous multi-master Can be used for: Improved performance for geographically dispersed users High availability Load distribution (OLTP vs. reporting)‏

1. EnterpriseDB’s
xDB Replication solution
Setup and Success stories by Ashnik in ASEAN
25/8/2014
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3. • Asynchronous cascading master to multiple replicas
• Asynchronous multi-master
• Can be used for:
• Improved performance for geographically
dispersed users
• High availability
• Load distribution (OLTP vs. reporting)
xDB Replication Server
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4. • High Availability uses
• Geographic distribution of load
• For creation of Testing/staging env using snapshot replication
• Segregate OLTP and reporting
xDB Replication Use Cases
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Replication

5. xDB Replication Server (Single Master)
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Supports EDB and Oracle near real-time heterogeneous replication
Supports Postgres to Postgres replication now
Trigger-based system with less than 10% performance impact
Applications
• For customers “stuck” on an Oracle database
• Offload reporting to EDB
• Keep Oracle database running fast for transactions

6. xDB Single-Master Replication (SMR)
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Table
D
Table
C
Table
B
Table
A
Table
C
Table
D
Procs
Objects
ReportsQueries
Continuous
or Scheduled
----------------
Filtered
or All Rows
Transaction
Replication
Improved
OLTP
Performance
Inexpensive
Query /
Reporting
Oracle Server Postgres Plus Advanced Server

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xDB Replication – Heterogeneous DB Support
Source Target Oracle
Microsoft SQL
Server
2005/2008
PostgreSQL
Postgres Plus
Advanced
Server (Oracle
mode)
Postgres Plus
Advanced
Server
(PostgreSQL
mode)
Oracle Yes Yes Yes
Microsoft SQL Server Yes Yes Yes
PostgreSQL Yes Yes* Yes Yes*
Postgres Plus Advanced
Server (Oracle mode)
Yes Yes Yes*
Postgres Plus Advanced
Server (PostgreSQL mode)
Yes Yes* Yes Yes*
* Supported in Multi-Master mode

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Master-to-Master Replication for 2 or more nodes
Trigger-based asynchronous implementation
• Delay of a couple of seconds to possibly minutes depending
on configuration and load
Automatic Conflict Detection
• Uniqueness
• Update
• Delete
Multiple Conflict Resolution
• Earliest or Latest Timestamp
• Node priority – one node always wins
• Manual – Administrator reviews and actions
xDB Replication Server (Multi-Master)

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Ideal for Geo-dispersed Servers
Each geography updates a local master faster than to a single common
master
Allows failover of one geography to another geography
Provides write availability

10. • Java-based Replication Server and Replication Console
• Delta changes recorded in shadow tables via post Insert/Update/Delete triggers
• Data Replication through JDBC channel
xDB MMR Architecture
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11. • Multi Master Replication – State Farms Insurance, USA
• DR Site Replication – ToT, Thailand
• Reporting Server Replication- Packet1, Malaysia
Production Implementation of xDB
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SUCCESS STORIES in ASEAN

13. Issues in Environment
- Delayed Reports
- Additional Oracle Server for
reporting = Extra Cost
- Extra Add-on component needed
for Replication between OLTP and
Reporting DB
- Reports being pulled from two
Databases- ArchiveDB and LiveDB
- No Primary Keys in database to
implement change data capture
Solution Suggested
- Migrate Archive DB to Postgres Plus
- Do daily snapshot of changes from Oracle to
Postgres Plus
- Use xDB replication for Snapshot
Implementation
- Migrated 1.2TB of Archive and 700MB of
Live DB
- 500MB of Differential data replicated on
daily basis
- Result – Reports are generated on time!
- OLTP Performance improved due to
offloading
Packet1- A Major Telco in Malaysia improves Reporting
Performance with EnterpriseDB
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14. ToT, Thailand plans to replace Oracle Exadata-TimesTen In-
memory database with HP-EnterpriseDB stack
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Background
• Largest public sector company in telecom in Thailand
• Has very stringent response time SLA (20ms response time for user requests ~ 3-5 read queries)
• Current setup has Oracle Exadata and four TimeTen In-memory databases
Current Challenges in Oracle Stack
• Issues in sync of Exadata with
In-memory databases
• Full refresh locks the tables
• Current system can go upto 1500 tps
• Dynamic Partitioning for huge table
• Current system load is 750 TPS with
write operations
• 5000 user requests (16.5K read queries)
per second with 4 servers
HP-EnterpriseDB Stack Proposed to be DR for Exadata
• HP DL-980 (4 CPU * 10 cores, 256GB RAM)
• 1TB VMA Disks for faster access
• Simulation tests show 2800 write-TPS achieved
• Flexible Partitioning scheme in PPAS (add partition on the fly for
each new date, no manual intervention)
• Currently this server is being tested as DR for Exadata
• Replication using xDB near-relatime replication for 1000 tps
• Scalability achieved using cascaded replication and Infinite Cache
• Setup can handle 5500 user requests (18K queries per second)
with 1.5-2.5ms response time per query

15. PostgreSQL – Postgres Plus Users, Globally
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PostgreSQL – Postgres Plus Users, across ASEAN
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Malaysia
Philippines
Singapore
Vietnam Thailand
Indonesia

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