Informix version 12 releases 12.10.xC2 to 12.10.xC6 and the feature themes. These include parallel sharding, replication, HA Clusters, NoSQL JSON

1. © 2015 IBM Corporation
20151
SENSORSENSOR
DATADATA
Informix Overview
and
12.10 New Features
John F. Miller III

2. © 2015 IBM Corporation
20152
Agenda
Power of Informix
–Historic Overview
–Version 12
• Unique Business Opportunities
• Feature Overview
Embedability Highlights
NoSQL – JSON, Mongo, Sharding
Replication
–HA
–Flexibly Grid
–Sharding

3. © 2015 IBM Corporation
20153
12+ Years of Innovation within IBM

4. © 2015 IBM Corporation
20154
Informix Strengths
 Highly Scalable - High Performance
– Custom database threads
– Multi-Threaded architecture
– Mini-OS – Threads span processes
 Extreme Availability
– Self-Contained Replication Functionality
– ER and HDR are embedded in the server.
 Zero Administration/Deep Embed
– Single configuration file of about 100 entries
– Single file for network configuration
– Strong Remote Monitoring Capacity
 Transactional Hybrid Enterprise Worloads
– Row Oriented, NoSQL(JSON), TimeSeries
 Single Platform for OLTP and Analytics

5. © 2015 IBM Corporation
2015
Edge Device, Smart Gateway
 A small footprint computing device which
collects data from sensors, analyze local data
and send aggregated data to the cloud for
extensive analysis and feedback controls.
 Limited resources and capacity
– Multi-core devices
– Memory generally 1GB
– Disk space is 16GB
 Administration is a hard reset
5
Cisco
Delivers over 29 products based on
Informix which rely heavily on
replication and “no knobs”

6. © 2015 IBM Corporation
2015
Paddy Power Bets on Informix
For Gaming Operations
Benefits:
• Services average load of 12,260
bets per minute
• Scales up to 2 million transactions
per second
• Services concurrent users that grow
from 700 to 162K in a minute
• Supports 20-30% annual growth
• Gains the ability to share
information companywide to cross-
sell products and make better
business decisions

7. © 2015 IBM Corporation
2015
China initiative extends Informix’s reach in growth markets and
brings innovation to meet localized needs
October 2014, IBM Informix announces its
agreement with China partners to provide a
locally innovated database solution for the
rapidly evolving China marketplace, based on
IBM Informix technology.
GBASE
Teamsun
“[This agreement] confirms IBM’s innovation
and commitment to growth in emerging
markets in general and China specifically. Our
intent is to help partners and clients gain
competitive edge and transform their business
with innovative database technologies in
China, with China, for China”.
- Sean Poulley, Vice President,
IBM Analytics Platform

8. © 2015 IBM Corporation
2015
Product Innovation Flow
xC5 Release
IoT &
Gateway
Informix
Base
Traditional
On-premise
All Core Functionality is developed
here …
..but is Delivered with different
“skins” depending on market needs
China
Initiative
Special
OEM
Informix
Core
Release

9. © 2015 IBM Corporation
2015
Feature Rollout Across Version 12
• 12.10.xC2
• NoSQL (JSON, BSON, Mongo and Rest)
• 12.10.xC3
• Sharding
• Enhanced Timeseries (Hertz, compression)
• 12.10.xC4
• Enhanced Timeseries (JSON support)
• 12.10.xC5
• Online Rolling Upgrades for HDR
• Multi-Tenant/Enhance Container Support
• Spatiotemporal (Track moving objects)

10. © 2015 IBM Corporation
2015
Platform support
– Support for additional platforms
– IBM Power8 LE & Gateways
– Spatial & GeoJSON for all platforms
Administration Multi-Tenancy
– Restore tenant container/databases to any point in time
– Limit memory and connections for tenant databases
Performance
– Parallel sharded queries for JSON, timeseries, SQL data
JSON compatibility
– MongoDB 3.0 compatibility
– Wire listener HA & stability enhancements
Security
– Enhanced Guardium integration
12.10.xC6 Features Summary

11. © 2015 IBM Corporation
201511
Agenda
Power of Informix
–Historic Overview
–Version 12
• Unique Business Opportunities
• Feature Overview
Embedability Highlights
NoSQL – JSON, Mongo, Sharding
Replication
–HA
–Flexibly Grid
–Sharding

12. © 2015 IBM Corporation
2015
Informix is Very Easy to Deploy, Administer and Maintain
Zero Administration : Ease of Use – It Just Works!
• Many customers average 2,000 or more servers per DBA
• DBA’s Leverage Open Admin Tool to administer complete environments
• Apps utilize the Admin API to reduce and eliminate down time
Embedded in 400K
instances across
25+ Cisco solutions
with NO DBAs
Built to Embed
Administer
distributed servers
from 1 location as
a single server
Easy admin
Informix enables
DBAs to manage
1000’s of instances
Maximize resources
DBAs can harness the
power of Informix 12.10
New DBA capabilities

13. © 2015 IBM Corporation
2015
Graphical Admin OpenAdmin Tool
13
Mobile OpenAdmin Tool
OpenAdmin Tool

14. © 2015 IBM Corporation
201514
Agenda
Power of Informix
–Historic Overview
–Version 12
• Unique Business Opportunities
• Feature Overview
Embedability Highlights
NoSQL – JSON, Mongo, Sharding
Replication
–HA
–Flexibly Grid
–Sharding

15. © 2015 IBM Corporation
2015
Ability for All Clients to Access All Data Models
15
SQL Tables
JSON Collections
TimeSeries
MQ Series
SQL APIs
JDBC, ODBC
SQL APIs
JDBC, ODBC
MongoDB
Drivers
MongoDB
Drivers
Informix 12
BLU - Informix Warehouse Accelerator
3.0 Mongo Support
Common Authentication
RestRest

16. Mongo Application
IBM Wire Listener
IDXs
Logs
Enterprise replication + Flexible Grid + Sharding
Distributed
Queries
Informix
Tables
Tables
IDXs
Relational TablesRelational Tables
JSON CollectionsJSON Collections
SELECT bson_data::JSON
FROM customer
WHERE bson_data.state={state:“MO”}
SELECT bson_data::JSON
FROM customer
WHERE bson_data.state={state:“MO”}
db.customer.find({state:“MO”})db.customer.find({state:“MO”}) db.partners.find({state:”CA”})db.partners.find({state:”CA”})
SELECT genbson(partners)::JSON
FROM partners
WHERE state=“CA”
SELECT genbson(partners)::JSON
FROM partners
WHERE state=“CA”
CustomerCustomer
partnerspartners
JSON
JSON
Access RelationalAccess JSON
MongoAPI Accessing Both NoSQL and Relational Tables

17. Mongo Application
IBM Wire Listener
IDXs
Logs
Enterprise replication + Flexible Grid + Sharding
Distributed
Queries
Informix
Tables
Tables
Relational TablesRelational Tables
JSON CollectionsJSON Collections
db.system.find({‘select * FROM customer C, Partners P
WHERE C.customer::char = P.customer’})
db.system.find({‘select * FROM customer C, Partners P
WHERE C.customer::char = P.customer’})
CustomerCustomer
partnerspartners
Access RelationalAccess JSON
MongoAPI - Joining NoSQL Collection to Relational Tables
Join
Optimizer
IDXsJoins Between Allowed
Collection Table Yes
Collection Collection Yes
Collection TimeSeries Yes
Table TimeSeries Yes
TimeSeries TimeSeries Yes
Table Table Yes

18. Informix Hybrid - Ability for All Clients to Access All Data Models
•JSON/BSON as Native Data Type
•GeoJSON with R-Tree Indexes
•Full Text Search
•TimeSeries with JSON
•Native JSON Indexes
•Sharding for Scale Out
•Secondary Servers for HA
•Mongo & REST Application Support
18
•Preserve Enterprise DBS Functionality
•Join Collections, SQL Tables &
TimeSeries data in a single query
•Compression of JSON/BSON
•Security & Auditing
•3rd
party SQL tools access JSON data
•Support full range of hardware/OS
(ARM/Quark to largest P Series)

19. 19
Agenda
• Power of Informix
 Historic Overview
 Version 12
• Unique Business Opportunities
• Feature Overview
• Embedability Highlights
• NoSQL – JSON, Mongo, Sharding
• Replication
 HA
 Flexibly Grid
 Sharding

20. © 2015 IBM Corporation
201520
Extreme Availability : Two Base Technologies
Logs
High Availability
Data Replication
Flexible Grid
E RFlex
Grid

21. © 2015 IBM Corporation
201521
HDR Secondary Server Features
 Remote Standalone Secondary(RSS)
and HDR Secondary
 Uses:
– Application balancing
– Additional backup(s)
– Scale out
 Highlights
– Can have 0 to N RSS nodes
– Receive logs from Primary
– Has its own set of disks to manage
 Updates on HDR Secondary
Primary Node HDR Node
RSS #2
RSS #1
 Shared Disk Secondary(SDS)
 Uses:
– Online Adjustment of capacity
– Does not duplicate disk space
 Features
– SDS nodes share disks with the primary
– Can have 0 to N SDS nodes
– Does not require any specialized hardware
– Does not require a global lock manager
– Simple to setup – simply start the server
– Can coexist with ER, HDR, and RSS
– The primary role can failover to any SDS
node
 Updates on Secondary
Primary
SDS #1 Shared
Disk
SDS #2
SDS #3
Blade Server

22. © 2015 IBM Corporation
201522
HDR & Flexible Grid Integrated with Connection Manager
Connection
Manager
Support for Mixed Hardware
An Informix
Cluster running
on AIX
Shared
Disk
An Informix Cluster
running on HPUX
Keep a
subset of
tables in-
sync
Informix Servers
running on Linux
Keep all
tables
in-sync
Flexible Grid
Shared
Disk
Tables: A, B, C, D
Tables: B, C, D
Tables: A, B, C, D

23. © 2015 IBM Corporation
201523
d-PROG – DHL
 104 Flexible Grid nodes 2 HDR Clusters
at the core
 Adopt a proactive approach to
eliminating downtime
 Accommodate business growth without
additional hardware or software investment
 Provide faster and easier administration
Manage 104 nodes from Single Location
Connection Manager for two independent
networks (application, replication)

24. © 2015 IBM Corporation
201524
Agenda
Power of Informix
–Historic Overview
Version 12 Unique Business
Opportunities
Version 12 Feature Overview
Embedability Highlights
NoSQL – JSON, Mongo, Sharding
Replication
–HA
–Flexibly Grid
–Sharding

25. © 2015 IBM Corporation
2015
What is Elastic Scaling (aka Sharding) ?
• Sharding is a type of database partitioning
• Each database piece is called a shard
• Data can be spread across multiple computers
• A special case of horizontal partitioning
• Sharding works with all data types
• Row Oriented (traditional SQL)
• TimeSeries
• NoSQL (JSON/BSON)

26. © 2015 IBM Corporation
2015
A Few Use Cases for Sharding
• Scale-Out with less expensive hardware
• The ability to scale
• No need to pre-buy hardware for expected growth
• Regional Data
• Use smaller less expensive hardware
• IOT - Sensor Data Model
• A user or device that produces frequently reading for a specific point in
time.

27. © 2015 IBM Corporation
2015
History of Informix Database Scaling
Database
Operation
Database
Operation
Vertical ScalingSimple Operation
Count all blue, orange & pink

28. © 2015 IBM Corporation
2015
Informix Parallel Sharded Query
Database
Operation
1 Submit Parallel Sharded Query
2 Create N Sharded Operators
3 Simultaneously Execute on Servers
4 Merge and Return Results

29. © 2015 IBM Corporation
2015
1. Send command any local node
Scaling out - Adding a Shard Online
Shard Key
state= “OR”
Shard Key
state= “WA”
Shard Key
state= “CA”
Command
Add Shard “NV”
2. New shard dynamically added,
data re-distributed (if required)
Shard Key
state= “NV”
3. Completed without interruption to
existing system

30. © 2015 IBM Corporation
2015
Regional Data
Shard Key
store= “OR”
Shard Key
store= “WA”
Shard Key
store= “CA”
Local Store
Workers
Local Store
Workers
Customer
returns:
Price spent
on item?
HQ Reporting
How much?
What type?

31. © 2015 IBM Corporation
2015
IOT - Sensor Data Model
• Called by many names TimeSeries or Master Detail
• Description of the data model
• A record the describes an entity, such a, a person or device
• A home
• A temperature sensor
• A fitbit
• Data points from this entity generally collect a different points in time
• Often referred to as “sensor data”
• Meta Data with Detail Records
• A user or device that produces frequently reading for a specific point in
time.

32. © 2015 IBM Corporation
2015
Data Requirements for IOT/Sensor Data Model
• Device Registration information
• What type of device, name, model, version
• What does the device do
• Data points from this sensor/device collect a different points in time
• Often referred to as “sensor data” or “readings”
Device Name Water Temperature Gauge
Device Manufacturer JFM Gauges LLC
Device Type Reading Time Temperature
Reading 1 12-1-2015 22:15:01.0004 25.62
Reading 2 12-1-2015 22:15:02.0015 25.82
Reading 3 12-1-2015 22:15:03.0002 25.92
Reading 4 12-1-2015 22:15:04.0162 25.52
Sensor Data Records (for 1 year)
1/hour 15 minutes 1/minute 1/second 60/second
8,760 rows 35,040 rows 525,600 rows 31,536,000 1,892,160,000

33. © 2015 IBM Corporation
2015
Informix HA Clusters and Sharding
Informix
Shard 1
Informix/1
Secondary
Disk or Diskless
Informix/1
Secondary
Disk or Diskless
Informix
Secondary 1
Disk or Diskless
Sharding

Scaling in both directions

Secondary server(s) provide HA, rolling upgrades and ondemand
scaling of a individual shard

Sharding provides auto scaling of the operational store
Informix
Shard 1
Informix/1
Secondary
Disk or Diskless
Informix/1
Secondary
Disk or Diskless
Informix
Secondary 1
Disk or Diskless
Informix
Shard 1
Informix/1
Secondary
Disk or Diskless
Informix/1
Secondary
Disk or Diskless
Informix
Secondary 1
Disk or Diskless

34. © 2015 IBM Corporation
2015
Restore tenant container/databases to any point in time
Limit memory and other database resources for tenant
containers/databases
MongoDB 3.0 compatibility
Wire listener HA & stability enhancements
12.10.xC6 Features Expanded

35. © 2015 IBM Corporation
2015
Other 12.10.xC6 Features
Mongo 3.0 Support
–Ability to natively consume mongo applications
Tenant Point-in-Time Restore
Database Virtualization
Expanded Platform Support

36. © 2015 IBM Corporation
201536
Agenda
Power of Informix
–Historic Overview
–Version 12
• Unique Business Opportunities
• Feature Overview
Embedability Highlights
NoSQL – JSON, Mongo, Sharding
Replication
–HA
–Flexibly Grid
–Sharding

37. © 2015 IBM Corporation
201537
(John F. Miller III – miller3@us.ibm.com)