Queuing

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(Queueing in core)
(Queueing in core)
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* Cluster Concurrently
 
* Cluster Concurrently
 
* Parallel queries
 
* Parallel queries
* PG/Strom: GPU Offloading
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* PG/Strom: GPU Offloading (parallel too)
 +
 
 +
Parallel queries have different transactional semantics needs (it's all running in the same transaction, producer and consumer)
  
 
External use cases:
 
External use cases:

Revision as of 13:24, 16 May 2012

Queueing in core

Internal use cases:

  • Materialized Views
  • Alter Table Concurrently
  • Cluster Concurrently
  • Parallel queries
  • PG/Strom: GPU Offloading (parallel too)

Parallel queries have different transactional semantics needs (it's all running in the same transaction, producer and consumer)

External use cases:

  • Very Common Design Pattern
  • Datawarehouse and pruning historical data (avoid vacuum issues)

Implementation:

  • it's a table?
  • concurrent inserts and pruning
  • no update
  • payload would be a record/tuple (create type / create table)
  • FIFO, Insert Only Segment Optimisation with a starting block that can be > 0
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