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#Performance

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Performance tag groups posts regarding software performance issues and the best practices on solving and monitoring performance issues.

Most transactional applications have a 70:30 RW profile. However, some special cases have extremely high write IO profiles.

I ran storage IO tests in the ap-southeast-2 (Sydney) AWS region to simulate IRIS database IO patterns and throughput similar to a very high write rate application.

The test aimed to determine whether the EC2 instance types and EBS volume types available in the AWS Australian regions will support the high IO rates and throughput required.

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There is several classes that allow to create TCP/IP connections (eg: to connect to a service).

Example : %Net.FtpSession (port 21), %Net.HttpRequest (usually port 80 or 443)

AFAIK connection will stay open unless closed explicitly or if variable that hold the instance is garbage collected.

Is there a way to get a list of all active (open) TCP/IP connections IRIS is maintaining so far ?

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InterSystems IRIS offers various ways how to profile your code, in most cases it produces enough information to find the places where the most time is spent or where the most global sets. But sometimes it's difficult to understand the execution flow and how it ended at that point.

To solve this, I've decided to implement a way to build a report in a way, so, it's possible to dive by stack down

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Hello,

I would like to get a list of all globals that have been read or written during a given context. In Portal, there are counters in dashboard that give the number of read/write to globals in general.

What I am looking for :

- some handler (eg: like $ZTRAP) that will be called everytime something is read/written to a global.

- to activate a "global log mode" in Portal that will dump some information to a file (like ^ISCSOAP for SOAP requests).

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I am often asked to review customers' IRIS application performance data to understand if system resources are under or over-provisioned.

This recent example is interesting because it involves an application that has done a "lift and shift" migration of a large IRIS database application to the Cloud. AWS, in this case.

A key takeaway is that once you move to the Cloud, resources can be right-sized over time as needed. You do not have to buy and provision on-premises infrastructure for many years in the future that you expect to grow into.

Continuous monitoring is required. Your application transaction rate will change as your business changes, the application use or the application itself changes. This will change the system resource requirements. Planners should also consider seasonal peaks in activity. Of course, an advantage of the Cloud is resources can be scaled up or down as needed.

For more background information, there are several in-depth posts on AWS and IRIS in the community. A search for "AWS reference" is an excellent place to start. I have also added some helpful links at the end of this post.

AWS services are like Lego blocks, different sizes and shapes can be combined. I have ignored networking, security, and standing up a VPC for this post. I have focused on two of the Lego block components;
- Compute requirements.
- Storage requirements.

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Hi,

If I test the Native api for Node.js from the documentation, I noticed (if I'm correct) all methods and calls are synchronous. By default due to the nature of Node.js, there is only one thread of execution and normally all JavaScript methods and all calls should be asynchronous and use either a callback function (the "old way") or promises or the async/await contruct to return their result, e.g.:

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The following steps show you how to display a sample list of metrics available from the /api/monitor service.

In the last post, I gave an overview of the service that exposes IRIS metrics in Prometheus format. The post shows how to set up and run IRIS preview release 2019.4 in a container and then list the metrics.

This post assumes you have Docker installed. If not, go and do that now for your platform :)

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YASPE is the successor to YAPE (Yet Another pButtons Extractor). YASPE has been written from the ground up with many internal changes to allow easier maintenance and enhancements.

YASPE functions:

  • Parse and chart InterSystems Caché pButtons and InterSystems IRIS SystemPerformance files for quick performance analysis of Operating System and IRIS metrics.
  • Allow a deeper dive by creating ad-hoc charts and by creating charts combining the Operating System and IRIS metrics with the "Pretty Performance" option.
  • The "System Overview" option saves you from searching your SystemPerformance files for system details or common configuration options.

YASPE is written in Python and is available on GitHub as source code or for Docker containers at:

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Get certified on InterSystems IRIS System Administration!

Hello Community,

After beta testing the new InterSystems IRIS System Administration Specialist exam, the Certification Team of InterSystems Learning Services has performed the necessary calibration and adjustments to release it to our community. It is now ready for purchase and scheduling in the InterSystems certification exam catalog. Potential candidates can review the exam topics and the practice questions to help orient them to exam question approaches and content. Passing the exam allows you to claim an electronic certification badge that can be embedded in social media accounts such as Linkedin.

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After what is seemed was weeks, I finally got SSL/TLS enabled on both Apache Web Server and IRIS using the Web Gateway. However while we can now use HTTPS to connect to our Development instance of IRIS, I am running into several errors when I have others try to access the Management Portal via HTTPS.

We are seeing...

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Question
· Feb 11, 2022
Driver odbc performance

Hello,

I'm using the InterSystems Iris odbc driver (DriverODBCVer=02.10) to get data from Iris table but it is slow.

Is there any options to improve performance ? Increase the packet size ?

Change to do in odbcinst.ini / odbc.ini to make it quicker ?

Thanks

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One of my colleagues had developed an interface in Health Connect (HealthShare 2019.1) to add large amounts of data to an external SQL Server database. The data comes from many text files with delimited rows and data for one table per file. There is a business process to read a file line by line and send an Insert Request to an operation.

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Article
· Apr 9, 2019 3m read
IRIS/Ensemble as an ETL

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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I use the following code to start a start a job :

Class MyClass Extends (...)
{
    ClassMethod Foo()
    {
       job $CLASSMETHOD("MyClass","MyMethod") //take forever depending hardware
    }

    ClassMethod MyMethod()
    {
       //do database related stuff
    }
}

On local environment, calling Foo() is instantaneous (a few ms). On production/test servers (which have much better hardware than local) calling this function is slow and take between 200 ms to 800 ms. Obviously starting a new job with "job" command take lot of time on those environments.

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Like hardware hosts, virtual hosts in public and private clouds can develop resource bottlenecks as workloads increase. If you are using and managing InterSystems IRIS instances deployed in public or private clouds, you may have encountered a situation in which addressing performance or other issues requires increasing the capacity of an instance's host (that is, vertically scaling).

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Hello everyone!

Some time ago, I changed the configuration in SQL Runtime Statistic to "Turn on Stats code generation to gather stats at the Open and Close of a query". With this change, the CACHE base (cache/mgr/cache/) has grown a lot to reach 198GB.

Yesterday, I returned the configuration of SQL Runtime Statistic to the default which is "Turn off Stats code generation" and the cache base is no longer growing.

My question is?

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We are seeing more and more customers being lured with latest infrastructure technologies, particularly Composable Infrastructure. Coming with all sorts of data center consolidations and costs savings.

Question is: are there any concerns for HealthShare/TrakCare being run on these platforms or things to look out for? Anyone out there, already on these platforms?

To be more specific this is HPe Synergy with 480 Compute blades booting as bare metal.

Regards;

Anzelem.

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Want to perform SNMP performance monitoring of cache2010 on AIX 5.3. Since the SNMP service that comes with AIX does not support agentX, it cannot extend the support for cache database. Therefore, I plan to deploy net-snmp on AIX first, then enable agentX, and finally configure cache's subagent. Is this workable? Any documents? Thx!

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