Easy IWA: Part 4 Running a selection of TPCH Queries accelerated by IBM Informix Warehouse Accelerator 12.10.FC4

Abstract

This fourth and final article in the Easy IWA series provides a demonstration of accelerating a selection of TPCH queries, based on the TPCH warehouse queries, by IBM Informix Warehouse Accelerator. Building on previous articles, this provides the ability to accelerate a set of SQL  queries within a directory against IWA with sub-second timing, demonstrating the speed of query acceleration that can be attained. Provided with this article are the SQL queries and a driver script where a database (or multiple databases) is specified and the SQL queries are run against the specified database with the request to accelerate by IWA

[Read More…]
Easy IWA: Part 4 Running a selection of TPCH Queries accelerated by IBM Informix Warehouse Accelerator 12.10.FC42021-06-08T16:39:23+01:00

Easy IWA: Part 3 Creating and Loading a Data Mart under IBM Informix 12.10.FC4 and IBM Informix Warehouse Accelerator

Abstract

This third article in the Easy IWA series provides specific worked examples of creating two Data Marts under IBM Informix Dynamic Server and IBM Informix Warehouse Accelerator 12.10.FC4. Both examples use the “smart mart” utility, with the first example loading from external tables into IBM Informix tables and subsequently into an IWA Data Mart; the second loads directly into an IWA Data Mart from external tables. Both examples use the TPCH data generation utility and schema as detailed in a previous article, with the addition of the removal of unsuitable “*_comment” columns via a simple in-line pipe and sed or awk approach.

[Read More…]
Easy IWA: Part 3 Creating and Loading a Data Mart under IBM Informix 12.10.FC4 and IBM Informix Warehouse Accelerator2020-08-18T15:38:31+01:00

Easy IWA: Part 2 Creating an IBM Informix Warehouse Accelerator under 12.10.FC4

Abstract

This second article in the Easy IWA series details how to create an Accelerator under IBM Informix 12.10.FC4 Workgroup and Advanced editions. Worked examples to establish initial memory requirements are provided, which is key to effective and efficient resource usage and ensuring that initial provisions are reasonable. The Accelerator provides the interface between IBM Informix and the Warehouse Accelerator, performing mart administration and query processing.

[Read More…]
Easy IWA: Part 2 Creating an IBM Informix Warehouse Accelerator under 12.10.FC42020-08-18T15:41:53+01:00

Easy IWA: Part 1 – The TPCH database, data generation and IBM Informix 12.10.FC4

Abstract

This first article in the Easy IWA series details the regular requirement for a referentially complete database schema along with the capability to generate and load data during testing and POC exercises. This article provides information on implementing the TPCH database schema in IBM Informix, the dbgen data generation utility and loading the generated data.

[Read More…]
Easy IWA: Part 1 – The TPCH database, data generation and IBM Informix 12.10.FC42020-08-18T15:42:25+01:00

Easy IWA: An Introduction to the Easy IWA Technical Articles Series

Abstract

This article provides an overview of the Easy IWA Technical Articles Series. Using the TPCH database schema, Data Generation utilities and sample queries from http://www.tpc.org, this series covers everything to get up and running with IBM Informix Warehouse Accelerator including data generation, creation of an accelerator, loading a Data Mart and running a set of queries.

[Read More…]
Easy IWA: An Introduction to the Easy IWA Technical Articles Series2021-06-08T16:38:05+01:00

An Introduction To TimeSeries

Abstract

What is TimeSeries? TimeSeries has actually been around for a fairly long time dating back to 1992 where it started at Illustra.  It was then ported to Informix when Illustra was acquired by IBM, followed by the first Informix release of the TimeSeries Data Blade in 1996. However, it is now beginning to generate a lot of hype and interest.  The reason why we are only now starting to hear about TimeSeries with any persistence is quite simply due to need and achievability.  By this I mean: firstly, there are now larger amounts of data stored about numerous things than there were 15 years ago – simply put data is increasingly the lifeblood of every industry.  Secondly, the hardware capabilities have progressed sufficiently to manage these increasing amounts of data; however, due to these huge data stores, things are becoming sluggish, and companies are looking for improved ways to store and manage their data: enter TimeSeries…again!

[Read More…]
An Introduction To TimeSeries2020-08-18T15:44:05+01:00
Go to Top