performance

Mining the AWR to Identify Performance Trends

Sometimes it’s useful to check how performance of a SQL statement changes over time. The diagnostic pack features provide some really useful information to answer these questions. The data is there, but it not always easy to retrieve it, especially if you want to see how the performance changes over time. I’ve been using three really…

Do You Know If Your Database Is Slow?

The time to respond There was a question at Pythian a while ago on how to monitor Oracle database instance performance and alert if there is significant degradation. That got me thinking, while there are different approaches that different DBAs would take to interactively measure current instance performance, here we would need something simple. It…

Exadata Join Offloading in Action

One of the biggest selling features of Oracle’s flagship engineered system – Exadata – is the storage offloading capabilities. Storage offloading allows data to be filtered as soon as it is read from storage, reducing the amount of data that database hosts need to process. The storage layer is a shared-nothing MPP architecture and in…

Deploying Cloudera Impala on EC2 with Example Live Demo

Pythian Big Data Impala Implementation

A little while ago I blogged about (and open sourced) an Impala-powered soccer visualization demo, designed to demonstrate just how responsive Impala queries can be. Since not everyone has the time or resources to run the project themselves, we’ve decided to host it ourselves on an EC2 instance.

Performance Settings of Concurrent Managers

This is the second article in a series about internals and performance of concurrent managers. In this post, we’ll take a look at three important settings that affect the performance of the concurrent managers: number of processes, “sleep seconds”, and “cache size”. This article might be a bit on the theoretical side, but it should provide a good understanding of how these settings actually affect the behavior and performance of concurrent managers.

The Internal Workflow of an E-Business Suite Concurrent Manager Process

This is the first article in a series about performance of concurrent processing. We’ll take a closer look at the internals of concurrent managers, the settings that affect their performance and the ways of diagnosing performance and configuration issues. Today we’ll start with an overview of the internal workflow of a concurrent manager process. Enjoy the reading!

How EBS Concurrent Processing Should Run on Oracle RAC

Concurrent Processing in one of the most resources consuming Oracle e-Business Suite component. It is important to ensure a proper performance management of that components. Oracle Real Application Clusters provides Scalability and High Availability. Applications running on RAC should support certain configuration options to leverage RAC benefits. This blog posts describes possible concurrent processing configuration options and highlights EBS today’s limitations. It provides a possible solution and explains what benefits it could introduce to organizations running both EBS and RAC today.

The Easy Way of Finding Similar SQL Statements

As we all know proper use of bind variables in SQL statements is a must to make transaction processing applications scalable. So how do we find the queries that don’t use bind variables and have to be parsed each time they are executed? There is number of ways, but this article is all about the most effective way I know. If you have a better one – let me know please!

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