InterSystems FAQ rubric

If a relationship is set and there is a large number of n in a 1:n ratio, a large amount of memory may be consumed due to sequential processing of the relationship.

After referencing a many-sided object in a program and internally swizzling it, simply releasing the variable containing the OREF (deleting it, setting another value, etc.) will not free the many-sided object and the relationship object. This is the cause.

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The ideal number of table permissions to assign for your users is zero. Permissions should be granted upon sign-in based on the application used for access. For web applications, we have a simple way of doing this by appointing application roles, matching roles, and required resources in the System Management Portal.

ODBC and JDBC connections present a different problem, however, especially when third-party applications are involved. As providers of an ERP system, our customers often wish to be able to employ various software packages to integrate with or report on their data. Many of these programs are capable of running any kind of query. Yet, letting them do that can be devastating to a customer’s data.

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1Background

When I first encountered FHIR, I encountered a problem with its message format. It was difficult for me to determine whether the message I created met the format, and it was also difficult to easily create an FHIR message from scratch.

So, through fhir server of IntereSystemsfhirserver API, I created this application for quickly generating/validating FHIR messages.

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I came up with a challenge for myself to come up with a way to make a variable watch itself for a certain value and do something when it hits that value without having to check it every time something touches it. Basically, a way to say "if at any point during the execution of this code, if x = 0 (or whatever the condition is) do this thing." The class I ended up with watches a %Status:

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Article
· 3 hr ago 2m read
Reviews on Open Exchange - #43

If one of your packages on OEX receives a review you get notified by OEX only of YOUR own package.
The rating reflects the experience of the reviewer with the status found at the time of review.
It is kind of a snapshot and might have changed meanwhile.
Reviews by other members of the community are marked by * in the last column.

I also placed a bunch of Pull Requests on GitHub when I found a problem I could fix.
Some were accepted and merged, and some were just ignored.
So if you made a major change and expect a changed review just let me know.

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Article
· Sep 28, 2015 1m read
BPL TechFAQ

The Business Processing Language - for orchestration and long-running business processes.

Ensemble can orchestrate calls to external systems. Very often this is done to implement or automate a long-running business process - that is, real business processes where people interact with a series of different systems to complete complex tasks. BPL (the Business Processing Language) provides a graphical way to create these orchestrations.

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Executive Summary

An accountable care organization (ACO) is a group of providers that are collectively responsible for the total cost and quality of care provided to a specific population of patients. Together, the group assumes risk and shares rewards. As with high-performing organizations in other industries, the hallmarks of ACOs are quality measurement and continuous improvement.

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Presenter: Murray Oldfield
Task: Avoid bottlenecks caused by scaling up, before they become a problem
Approach: Discuss what operating system and InterSystems metrics you should look at and how to interpret them

Systems behave differently when database activity scales up. In the worst case, bottlenecks appear and users are impacted. This session shows you which operating system and InterSystems metrics you should be looking at and how to interpret them so you can head off bottlenecks before they impact users. This sessions also shows strategies for planning infrastructure taking into consideration InterSystems' data platforms requirements.

Content related to this session, including slides, video and additional learning content can be found here.

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Presenter: Maxim Vershinin
Task: Easily extend your solution’s range of interoperability
Approach: Build Java-only business services and business operations that exploit open-source Java libraries

Problem: The title states the problem Open source java libraries exist for hundreds of protocols and formats. This session explains how you can easily build java only Business Services and Business Operations to that exploit these libraries to extend the range of interoperability.

Content related to this session, including slides, video and additional learning content can be found here.

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Presenter: Boris Mamkin
Task: Understand and use CDA in HealthShare
Approach: Provide a real-world example of how the Clinical Document Architecture standard is being used in a clinical integration

In this session, we will discuss the basics of using CDA in HealthShare, as well as a real world example of how CDA is being used in a clinical integration.

Content related to this session, including slides, video and additional learning content can be found here. Please note that this content is available only to HealthShare customers and attendees of the Global Summit. On the learning web site you will be prompted for your Global Summit credentials to access this content.

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Sentiment Analysis is a thriving research area in the broader context of big data, with many small as well as large vendors offering solutions extracting sentiment scores from free text. As sentiment is highly dependent on the subject a piece of text is about (financial news vs tweets about the latest computer game), most of these solutions are targeted at specific markets and/or focus on a given type of source data, such as social media content.

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The goal of this writing was to illustrate how to restore backup before the patch would be applied. The alert notes that:

The risk can be avoided by applying journals from the beginning of the journal file that was switched to at the start of the backup, rather than accepting the default of starting from the journal marker position.

Having non-patched Caché 2015.1.4, I ran sample database backup and restore just to get where I should answer "No". Collecting journal info from the backup log:

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It has been noticed that some customers running JAVA programs (for example, FOP) on AIX would see the server eventually running low then out of memory. Customer would notice the system pages heavily and user experience becomes bad. And the server would crash when out of memory.

When the problem happens, we can see in ipcs a lot of shared memory segment marked for deletion (Capital D at the beginning of MODE section). This means they will not disappear until the last process attached to the segment detaches it.

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Hello again and welcome to the Part 3 - Using the SQL API!

If you have been wondering about how to use SQL along with Frontier, you came to the right place. That's because since Frontier wraps the common Caché SQL API within it's own, you need to use the API provided from it. But you don't need to worry about its learning curve, because the Frontier SQL API is really simple.

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When using Related Cubes in InterSystems IRIS BI, cubes must be built in the proper order. The One side must be built before the Many side. This is because during build time for the Many side, it looks up the record on the One side and creates a link. If the referenced record is not found on the One side, a Missing Relationship build error is generated. The One side is going to be the independent side of the relationship, AKA the side of the relationship that is referenced by the Many side or the Dependent cube. For example: Patients contain a reference to their Doctor.

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Hi Developers!

Often when we install a code package we want to make some post-install settings, e.g. call to a method, set up a configuration file.

This article describes how to do this with the ObjectScript Package Manager.

To make any post-install calls you need to add <Invoke> elements into <Invokes> tag to the module.xml. Each <Invoke> element can have nested <Arg> elements if you want to pass params to the method:

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If you work with interoperability productions of InterSystems IRIS or Ensemble, no doubt you are familiar with the Message Viewer page. The page supports filtering messages according to filter criteria you enter in the Basic and/or Extended Criteria sections. Extended Criteria conditions are specified as property-operator-value triples. Once you click Search button, such triples become WHERE clause conditions of a generated SQL query executed against message header/body tables.

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This is the second post of a series explaining how to create an end-to-end Machine Learning system.

Exploring Data

The InterSystems IRIS already has what we need to explore the data: an SQL Engine! For people who used to explore data in
csv or text files this could help to accelerate this step. Basically we explore all the data to understand the intersection
(joins) which should help to create a dataset prepared to be used by a machine learning algorithm.

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Keywords: IRIS, IntegratedML, Machine Learning, Covid-19, Kaggle

Continued from the previous Part I ... In part I, we walked through traditional ML approaches on this Covid-19 dataset on Kaggle.

In this Part II, let's run the same data & task, in its simplest possible form, through IRIS integratedML which is a nice & sleek SQL interface for backend AutoML options. It uses the same environment.

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About this article:

In InterSystems IRIS, the default form of access to the management portal is HTTP, which means that if the client is in the office and the server is in the cloud, many clients probably desire to encrypt their traffic in some way.

Thus, we would like to show you some ways to encrypt your traffic to and from the IRIS management portal (or various REST services) running on AWS.

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