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NonStop SQL/MX
Transactional Queuing and
Publish/Subscriber Services
Johannes Klein
Robbert Van der Linden
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Back Office Automation
E-commerce and globalization forces businesses
to automate back office procedures to sustain
rapid growth and react in real-time
 Business processes often consist of up to 100 IT
transaction
 Current back-office infrastructures and messaging
subsystem are not prepared for the dramatic
increase in back-office transactions

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The Zero Latency Engine
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Adapters
Distributed
Object
Manager
Workflow
Engine
Transaction
Processing
Monitors
Database
Gateways
Adapters
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Adapters
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Adapters
Message
Transport
Service
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Delivering on ZLE
The Zero Latency Enterprise removes
knowledge and processing latencies.
At the heart of the Zero Latency Enterprise
is an active database with up-to-date data and
up-to-date information on scheduling business processes.
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Active relational database
High-performance relational queuing and
publish/subscribe services
 High-performance trigger services (second release)
 Tightly integrated into NonStop SQL/MX database
 High availability through process pair technology
 Scalability via partitioning and load balancing
 Common transaction management
 Common audit trail and recovery management
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Publish/Subscribe
Producers
Channel
publish
Consumers
subscribe
insert into channel values(…);
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select * from stream(channel);
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Queuing
Producers
Queue
Consumers
enqueue
dequeue
select * from (
delete from stream(queue))
as queue;
insert into queue values(…);
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Scalable Queuing Services

Partitioned transactional queues
 data dependent routing
load balancing
online re-partitioning
 Set-oriented queue access

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mini-batch processing
hot spot avoidance
Integrated database and transaction support

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
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pre-fetch of operational data
remove two-phase commit overhead
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Scalable Queuing Services
Clients
Queue
Server Classes
Operational Data
Partition A
Partition B
Partition C
Enqueues routed by
range or hash
partitioning function
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Server class per partition
dequeues and processes
Dequeue, update of operational
data, enqueue of reply is done in
requests
single local transaction
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Core Concepts

Stream access mode
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Skip conflict access mode

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stream access to subscribe and wait for qualifying
tuples to appear in SQL table
skip conflict to skip tuples locked by concurrent
transactions in conflicting mode
Embedded update and delete

embedded delete and update to read and at the
same time delete or update tuples
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SQL/MX Queuing Example
------- create table to capture orders
create table orders (customerno int,
itemno int, … );
-- dequeue orders and retrieve associated customer records
select * from
(delete from stream(orders)) as orders
left join
customer
on orders.customerno = customer.customerno;
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SQL/MX View Example
--- define view for dequeuing
create view ready_tasks as
select * from (update stream(tasks)
set state = ‘closed’
where state = ‘open’) as tasks, workflow
where workflow.wfid = task.wfid;
--- dequeue entries
select * from ready_tasks for skip conflict access;
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Application Interfaces

SQL/MX queuing and publish/subcribe
services are accessible via embedded SQL
and ODBC

Queuing and publish/subscribe services are
accessible from NonStop DOM, NonStop
Tuxedo, iTP WebServer and Pathway

XML support and HTTP integration
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SQL/MX Queuing Features
STREAMS
 EMBEDDED DELETES AND UPDATES

SKIP CONFLICT
 PARTITIONED TABLES
 SET ON ROLLBACK

ROWSETS
 HOLDABLE CURSORS
 VIEW SUPPORT
 ORDER BY / INDEXES
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Questions
Mailto:[email protected]
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