Performance

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A few years ago, I was teaching the basics of our %UnitTest framework during Caché Foundations class (now called Developing Using InterSystems Objects and SQL). A student asked if it was possible to collect performance statistics while running unit tests. A few weeks later, I added some additional code to the %UnitTest examples to answer this question. I’m finally sharing it on the Community.

Last comment 6 days ago
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Hi Everyone,

Please welcome the new Global Summit 2019 video on InterSystems Developers YouTube Channel:

InterSystems IRIS and Intel Optane Memory

 

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We have a data transformation where source is object collection (populated from a json file)  and target is EnsLib.EDI.XML.Document.

If source file is large enough, transformation fails and we get <store> error and I quickly found this:

https://docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls?KEY=EBPLR_DTL_foreach which at the bottom in "Avoiding <STORE> Errors with Large Messages" section tells to: 

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Hi,

I have a large XML zen report file that I want to convert to a CSV, what is the most efficient way to do it.

XML file:

<Details>
<Col1> aa1 </Col1>
<Col2> bb1</Col2>
<Col3> cc1 </Col3>
</Details>
<Details>
<Col1> aa2 </Col1>
<Col2> bb2</Col2>
<Col3> cc3 </Col3>
</Details>

Expected Output:

Col1,Col2,col3
aa1,bb1,bb1
aa2,bb2,bb2

Thank you.

Last answer 10 September 2019 Last comment 10 September 2019
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APM normally focuses on the activity of the application but gathering information about system usage gives you important background information that helps understand and manage the performance of your application so I am including the IRIS History Monitor in this series.

In this article I will briefly describe how you start the IRIS or Caché History Monitor to build a record of the system level activity to go with the application activity and performance information you gather. I will also give examples of SQL to access the information.

Last comment 8 October 2019
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This week I am going to look at CPU, one of the primary hardware food groups :) A customer asked me to advise on the following scenario; Their production servers are approaching end of life and its time for a hardware refresh. They are also thinking of consolidating servers by virtualising and want to right-size capacity either bare-metal or virtualized. Today we will look at CPU, in later posts I will explain the approach for right-sizing other key food groups - memory and IO.

So the questions are:

Last comment 30 September 2019
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Hi Community!

New video is already on InterSystems Developers YouTube Channel:

Making Cloud Deployments Cost Effective

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Our team is reworking an application to use REST services that use the same database as our current ZEN application. One of the new REST endpoints uses a query that ran very slowly when first implemented. After some analysis, we found that an index on one of the fields in the table greatly improved performance (a query that took 35 seconds was now taking a fraction of a second).

Last comment 23 August 2019
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Hi Community!

Enjoy watching  the new video on InterSystems Developers YouTube, recorded by @Joel Solon, InterSystems Senior Technical Trainer:

Globals Quickstart

 

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Hi Everyone!

Please watch the new video on InterSystems Developers YouTube, recorded by @Sourabh Sethi  in the  "Coding Talks" format:

Informative and Fast WEB API VIA ObjectScript and Ensemble/HealthShare

 

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 Pre-requisite - Basic knowledge of ENSEMBLE and ObjectScript

My both previous sessions were related to OBJECTSCRIPT.
This time, we are going to add a flavour Ensemble/Healthshare,
to be informative and fast.

In this session we are going to discuss about - 
"Informative and Fast WEB API VIA ObjectScript and Ensemble/HealthShare"

Web API can be REST or SOAP. We will taking example of SOAP in this session.
However, whatever I demonstrate today, will also be applicable for REST.

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Purpose

This tool is used to generate random read Input/Output (IO) from within the database. The goal of this tool is to drive as many jobs as possible to achieve target IOPS and ensure acceptable disk response times are sustained. Results gathered from the IO tests will vary from configuration to configuration based on the IO sub-system. Before running these tests ensure corresponding operating system and storage level monitoring are configured to capture IO performance metrics for later analysis.

Last comment 31 July 2019
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Hi Everyone!

New session recording from Global Summit 2018 is available on InterSystems Developers YouTube Channel:

InterSystems IRIS Reference Architectures

 

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Note (June 2019): A lot has changed, for the latest details go here

Note (Sept 2018): There have been big changes since this post first appeared, I suggest using the Docker Container version, the project and details for running as a container are still in the same place  published on GitHub so you can download, run - and modify if you need to.

Last comment 12 June 2019
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If a picture is worth a thousand words, what's a video worth? Certainly more than typing a post.

Please check out my "Coding talks" on InterSystems Developers YouTube:

1. Analysing InterSystems IRIS System Performance with Yape. Part 1: Installing Yape

 

Running Yape in a container.

2. Yape Container SQLite iostat InterSystems

Extracting and plotting pButtons data including timeframes and iostat.

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In the previous parts (1, 2) we talked about globals as trees. In this article, we will look at them as sparse arrays.

A sparse array - is a type of array where most values assume an identical value.

In practice, you will often see sparse arrays so huge that there is no point in occupying memory with identical elements. Therefore, it makes sense to organize sparse arrays in such a way that memory is not wasted on storing duplicate values.

In some programming languages, sparse arrays are part of the language - for example, in J, MATLAB. In other languages, there are special libraries that let you use them. For C++, those would be Eigen and the like.

Globals are good candidates for implementing sparse arrays for the following reasons:

Last comment 23 May 2019
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Hi Community!

Please welcome a new video on InterSystems Developers YouTube Channel:

InterSystems IRIS from Spark to Finish

 

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Hi Community!

Please welcome a new video on InterSystems Developers YouTube Channel:

Implementing vSAN for InterSystems IRIS

 

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IRIS and Ensemble are designed to act as an ESB/EAI. This mean they are build to process lots of small messages.

But some times, in real life we have to use them as ETL. The down side is not that they can't do so, but it can take a long time to process millions of row at once.

To improve performance, I have created a new SQLOutboundAdaptor who only works with JDBC.

BatchSqlOutboundAdapter

Extend EnsLib.SQL.OutboundAdapter to add batch batch and fetch support on JDBC connection.

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Suppose we need to store millions of values temporarily, that means, we don't care about them if we lose them but our application use them to get realtime information. Should I use Cachetemp or whatever other DB without journaling enabled? If answer is Cachetemp, shouldn't be a problem if we decide to scale using App Server + ECP? I'm not sure what would happen with the app logic in such architecture as I guess I couldn't map and share cachetemp...

Any idea/suggestion?

Last answer 13 February 2019 Last comment 13 February 2019
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There are often questions surrounding the ideal Apache HTTPD Web Server configuration for HealthShare.  The contents of this article will outline the initial recommended web server configuration for any HealthShare product. 

As a starting point, Apache HTTPD version 2.4.x (64-bit) is recommended.  Earlier versions such as 2.2.x are available, however version 2.2 is not recommended for performance and scalability of HealthShare.

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