In the context of IKO (Iris Kubernetes Operator) the question of Service not redirecting dynamically to the correct Pod is still pending.
In production this can be dangerous since an overload (or any other simpler problem) can cause you to change the main Pod and leave the application inoperable until we intervene.

Intersystems support warned that this is still an issue of IKO, but there are some possibilities that I am studying.

To explore an idea I had, I would like the help of this Forum to answer the following question:

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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.



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· Aug 10, 2018
using Microsoft diskspd


Has anyone got any experience of using the Microsoft diskspd utility to test the storage infrastructure in Healthshare/Ensemble environment.

I am interested in getting some figures to highlight any issues with different approaches to provisioning the disks on our new environment.

I am at a loss as to what parameters I should use to give a reasonable synthetic load that will give me any indication of potential issues. Any pointers would be greatly appreciated!

Kind Regards,


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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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· Sep 13, 2021
SQL - use specific index

Hello Community,

we want to use a specific index on our sql-class.

The index we want to use is called "iFilter".
Currently we use the following technique of ignoring all other indices because the automatically chosen index is always too slow.

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Please excuse my ignorance. I am trying to identify what areas would be best to review in the System Dashboard (for Cache 2010.2) for performance issues with the database. It seems to be running slower than usual, but I am trying to find out the best way to go about identifying what the issue is.

The following are captures from the System Dashboard.

As always, thanks a lot for your help.

System Dashboard

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I would like to know if an encrypted caché database can run significantly slower than a normal "unencrypted" database, in a way that is noticeable to the end user (e.g. slower response time for most pages, especially the ones that rely on read/writing to globals).

I searched in Intersystems knowledge base and couldn't find anything related. I'm looking for possible before/after benchmarks.

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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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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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While I can see the benefits that $ZSTORAGE could have if used properly, I have not seen it used in the environments I have worked in. I was wondering if there are any developers that promote its usage.

If used properly, I would imagine it could be highly effective in maximizing free memory since some processes will never go over X amount, while others may very well need much more.

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Hello everyone,

Recently, I've been working on a Business Process that processes a large JSON FHIR message containing up to 50k requests in an array within the JSON.

Currently, the code imports the JSON as a dynamic object from the original message stream, obtains an iterator from it, and processes each request one at a time in a loop.

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I have been asked to assist in the planning of the a new server for our database, which we will be changing operating systems from OpenVMS to Linux (RedHat distribution). However, its difficult to find material regarding what would be recommended, which is likely due to the database being proprietary.

In looking at the information provided below and hoping to decrease processing time, would anyone be able to recommend type of configuration we should have for the new Linux server? Please feel free to ask any clarifying questions.

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I am designing the software architecture for an Ensemble/Healthshare production to be deployed on Amazon AWS EC2 servers (2 mirrored m4.large - 4 vCPUs / 16 GiB RAM running RedHat Linux 3.10.0-327.el7.x86_64 and Healthshare for RHEL 64-bit 2016.2.1). It's a rather CPU-intensive production involving massive XSLT 2.0 transformations (massive both in terms of size and volume). I was wondering if anyone has experience configuring Ensemble productions on EC2 servers. My question or concern has to do with the following statement in the Ensemble documentation:

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Currently, we are running 2014.1 on two different servers (OpenVMS, RHEL). The plan is to transition from OpenVMS to RHEL, but our Write Daemon is in a Troubled state on both servers.

On the OpenVMS server, we have a WIJ file that's 26G and can grow to 40G (size of database cache). Since it hasn't grown to 40G, we don't believe the size of the WIJ file to be the issue.

What else should we be looking at regarding the performance of the Write Daemon?

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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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Is there a difference in outcome between the two screengrabs below?

In both cases, when certain conditions are met, a transformation is called and the output sent on to two targets. In the first case we surmise the transformation is called twice, and the output of the first run sent to the first target, the output of the second run to the second target. In the second case we surmise the transformation is called once, and the output duplicated and sent to the two targets.

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· Oct 17, 2018
SQLGateWay performance.

I have a ZEN page with nine tablepanes. Each tablepane queries a table in the same SQLServer db. I have a single SQLGateWay(odbc) to this SQLServer db. I need to get better performance when I query all nine table at the same time. Would my performance improve if I had nine SQLGateWays(nine odbc configurations/connections), one for each query? I would appreciate any and all suggestions for getting the very best performance when using SQLGateWays. Thank you.

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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: which at the bottom in "Avoiding <STORE> Errors with Large Messages" section tells to:

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