Informix SQL and NoSQL

1. IBM Informix for
SQL & NoSQL
Keshav Murthy
rkeshav@us.ibm.com
Architect, IBM Informix

2. 2

3. 3

Applications must support mobile
− Interoperate with modern applications with agility
− Enterprise infrastructure

Ability to scale to big data
− Commodity hardware and software
− Use case are driving big data
− Data base layer meets web app requirements

Strategy: more interactions with customers
− Systems of engagement needed!
− 71% CIOs see move toward social/digital collaboration
− New class of applications are based on NoSQL
Global C-suite Study, http://www-935.ibm.com/services/us/en/c-suite/csuitestudy2013/
Explosion of mobile
devices
Business Trends Driving NoSQL
Adoption

4. 4
SQL NoSQL
Define Schema first Write the program first
Relational Key-value, Document, column
family, graph and text
Changing schema is hard Assumes dynamic schema
Scale-up Scale-out
ACID consistency BASE consistency
Transactions No Transactions
SQL Proprietary API; Sometimes has
the “spirit” of SQL

5. 5
Martin Fowler says:
“aggregate-oriented”
What you're most likely to
access as a unit.
Key Value Store

Couchbase

Riak

Citrusleaf

Redis

BerkeleyDB

Membrain

...
Document

MongoDB

CouchDB

RavenDB

Couchbase

... Graph

OrientDB

DEX

Neo4j

GraphBase

...
Column

HBase

Hypertable

Cassandra

...
NoSQL Landscape

6. Informix
NoSQL Applications on
Informix

New Listener supports MongoDB drivers

Use the same driver for Informix & MongoDB
MongoDB
native Client
MongoDB
native Client
MongoDB
web
browser
MongoDB
web
browser
MobileMobile
Applications
MongoDB
Wire
Protocol
InformixMongoDB
driver
MongoDB
driver
6
Informix

7. Application Development
Tools
The MEAN Stack

8. Basic Translation
Terms/Concepts
8
Mongo/NoSQL Terms Traditional SQL Terms
Database Database
Collection Table
Document Row
Field Column
Index Index
{"name":"John","age":21, state:”CA”}
{"name":"Tim","age":28, Provence: “BC”}
{"name":"Scott","age":30, country: “UK”, status:1}
Name Age
John 21
Tim 28
Scott 30
Collection
Document
Key
Value
Table
Row

9. Informix JSON Store Benefits

Row locking on the individual JSON document

Large documents, up to 2GB maximum size

Ability to compress documents

Ability to intelligently cache commonly used documents

Use existing storage options and management tools.
9

10. •Supports B-Tree indexes on any key-value pairs.
•Typed indices could be on simple basic type (int, decimal,)
•Type-less indices could be created on BSON and use BSON
type comparison
•Translate ensureIndex() to CREATE INDEX
•Translate dropIndex() to DROP INDEX
Indexing
10
Mongo Operation SQL Operation
db.customers.ensureIndex(
{orderDate:1, zip:-1})
CREATE INDEX IF NOT EXISTS v_customer_2 ON
customer (bson_extract(data,‘orderDate')
ASC, bson_extract(data,‘zip') DESC) USING
BSON
db.customers.ensureIndex(
{orderDate:1},{unique:true})
CREATE UNIQUE INDEX IF NOT EXISTS
v_customer_3 ON customer
(bson_extract(data,'c1') ASC USING BSON

11. scale out (sharding) + High
Availability
App Server
Mongo Driver
Listener
JDBC
Enterprise repliation + Flexible Grid
App Server
Mongo Driver
Listener
JDBC
App Server
Mongo Driver
Listener
JDBC
App Server
Mongo Driver
Listener
JDBC
Informix/1
Primary
Informix/1
SDS/HDR
Informix/1
RSS
Informix/2
Primary
Informix/2
SDS/HDR
Informix/2
RSS
Informix/3
Primary
Informix/3
SDS/HDR
Informix/3
RSS
Informix/4
Primary
Informix/4
SDS/HDR
Informix/4
RSS
Informix/5
Primary
Informix/5
SDS/HDR
Informix/5
RSS
Informix/6
Primary
Informix/6
SDS/HDR
Informix/6
RSS

12. 12
2
Explosion of mobile
devices – gaming
and social apps
Advertising:
serving ads and
real-time
bidding
Social networking,
online
communities
E-commerce, social
commerce
Machine data and
real-time
operational
decisions
Smart
Devices
NoSQL + Relational
Internet of
Things

13. Hybrid Data Access:
relational tables & JSON
Collections
Relational Table JSON Collections
SQL API Standard ODBC, JDBC,
.NET, OData, etc.
Language SQL.
MongoDB
API (NoSQL)
Mongo APIs for Java,
Javascript, C++, C#, etc.
Direct SQL Access.
Dynamic Views
Row types
Mongo APIs for Java,
Javascript, C++, C#, etc.

14. Hybrid Data Access
14
SQL Tables
JSON Collections
TimeSeries
MQ Series
SQL APIs
JDBC, ODBC
SQL APIs
JDBC, ODBC
Informix
IWA – BLU Acceleration
GenBSON: SQL to BSON
Text search
Spatial
MongoDB
Drivers
MongoDB
Drivers
Timeseries(JSON)

15. Mongo Application
IBM Wire Listener
IDXs
Logs
Enterprise replication + Flexible Grid + Sharding
Distributed
Queries
Database
Tables
Tables
IDXs
Relational TablesRelational Tables
JSON CollectionsJSON Collections
SELECT bson_get(bson, ‘{}’) FROM customer
WHERE bson_value_lvarchar(bson,‘state’)=“MO”
SELECT bson_get(bson, ‘{}’) FROM customer
WHERE bson_value_lvarchar(bson,‘state’)=“MO”
db.customer.find({state:”MO”})db.customer.find({state:”MO”}) db.partners.find({state:”CA”})db.partners.find({state:”CA”})
SELECT * FROM partners WHERE state=“CA”SELECT * FROM partners WHERE state=“CA”
CustomerCustomer
partnerspartners
JSON JSON
Access RelationalAccess JSON
MongoAPI Accessing NoSQL & Relational
Data

16. Tables
JDBC connections
IDXs
Logs
Enterprise replication + Flexible Grid
Distributed
Queries
Database
Tables
Tables
IDXs
Relational TablesRelational Tables
JSON CollectionsJSON Collections
SELECT bson.customer::JSON,bson.state::lvarchar
FROM customer WHERE bson.state::lvarchar = “MO”
SELECT bson.customer::JSON,bson.state::lvarchar
FROM customer WHERE bson.state::lvarchar = “MO”
Select * from patners where state = “CA”;Select * from patners where state = “CA”;
CustomerCustomer
partnerspartners
Access RelationalAccess JSON
SQL Applications
SQL Accessing NoSQL & Relational Data
SQL TypesSQL Types

17. Informix for NoSQL and SQL
Access consistent data from its source
Avoid ETL, continuous data sync and conflicts.
Exploit the power of SQL, MongoAPI seamlessly
Exploit the power of RDBMS technologies in MongoAPI:
− Cost based Optimizer & power of SQL
− Spatial indices, Lucene text indices, and more.
Access all your data thru any interface: MongoAPI & SQL
Store data in one place and efficiently transform and use
them on demand.
Existing SQL based tools and APIs can access new data in
JSON