Hello,

is it possible to kill/suppress hl7 message in the DTL (data transformation).

in cloverleaf, it is common practice to check the value in message, for example pv1:7.9. if the value is certain word(assigning authority) then send the message over to destination, if it is not, kill the message

how would this be done in InterSystems ? does that need to be done in the rule instead? or can it be done in the data transformation? if it can be done in data transformation, how can it be done?

Thanks

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Is it possible to check retroactive LOCK history?

context:

I found it in the application error log. Some LOCK errors - ERROR #5803
Is it possible to somehow identify the point in the job or process code that caused these locks?

At the moment I no longer have table LOCKS on the server, but I would like, if possible, to check the time at which the incidents occurred.

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Hi,

Experienced Senior Full Stack Developer with 16+ years of expertise specializing in InterSystems technologies and modern front-end frameworks looking for opportunities. Proficient in MUMPS, Cache, IRIS, PSL, GTM, ZEN, REST API and Ensemble (Interoperability), with a proven track record of building robust, scalable systems for healthcare, finance and gaming industries.

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Hey Developers,

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I have an SQL table as below (columns - ID and Value)

I will get an ID number (first column) as an input from FTP inbound , and after that I have to query table taking ID as an input to get all the values for the ID

as -

if ID = 11 ; QRY output = aaa,bbb

if ID = 22 ; QRY output = xxx,yyy,zzz

can someone help me with query

ID Value
----------
11 aaa
22 xxx
22 yyy
11 bbb
22 zzz
-----------

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While starting with Intersystems IRIS or Cache, developers often encounter three core concepts: Dynamic Objects, Globals & Relational Table. Each has its role in building scalable and maintainable solutions. In this article, we'll walk through practical code examples, highlight best practices, and show how these concepts tie together.

1. Working with Dynamic Objects:

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img

Now that we have a good understanding of Python and its features, let's explore how we can leverage Python within IRIS.

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Hello everybody,

I would like to export project contents using Visual Studio Code, as well as I do with InterSystems Studio.

However, while attempting the export through the InterSystems extension I get the following error:

- There are no folders in the current workspace that code can be exported to.

These are the step to reproduce my error:

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Hey Community,

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Hey Community,

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New to Python. Attempting to use pypyodbc to select data from a table in one Cache database, and inserting into a similarly configured table in another. Process works fine except for tables containing Date types. NULL values in date columns are handled without issue, but when data is present, insert fails with:

An error occurred: argument 7: TypeError: 'NoneType' object cannot be interpreted as an integer.

Source table:

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I am converting a HL7 msg to xml and one of the field is as below -

DTL = <assign value='"Message"' property='target.{req.ID.scope}' action='set' />

DTL response = <ID scope='Message'>3</ID>

my xsd has -
<xsd:element name="ID">
<xsd:complexType>
<xsd:sequence>
<xsd:element name="SimpleContent" minOccurs="0"/>
</xsd:sequence>
<xsd:attribute name="scope"/>
</xsd:complexType>
</xsd:element>

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For example, you start debugging the AAA function, which calls the BBB function, then goes to the CCC^ABC function in a different routine and ends up while executing XXX^XYZ. No other routines or functions are visited in this example. What I would like is to get the record of AAA -> BBB -> CCC^ABC -> XXX^XYZ. No marking each function with recording code should be involved: too time consuming, too many functions in real code.

UPD: Iris has built in %SYS.Trace for this purpose but this class is apparently absent in Cache 2017. Did not find any substitutes yet.

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RabbitMQ is a message broker that allows producers (those who send a data message) and consumers (those who receive a data message) to establish asynchronous, real-time, and high-performance massive data flows. RabbitMQ supports AMQP (Advanced Message Queuing Protocol), an open standard application layer protocol.
The main reasons to employ RabbitMQ include the following:

  • You can improve the performance of the applications using an asynchronous approach.
  • It lets you decouple and reduce dependencies between services, microservices, and applications with the help of a data message mediator, meaning that there is no need for producers and consumers of exchanged data to know each other.
  • It allows the long-running processing of sent data (with the results) to be delivered after utilizing a response queue.
  • It helps you migrate from monolithic to microservices, where microservices exchange data via Rabbit in a decoupled and asynchronous way.
  • It offers reliability and resilience by making it possible for messages to be stored and forwarded. A message can be delivered multiple times until it is processed.
  • Message queueing is the key to scaling your application. As the workload increases, you will only have to add more workers to handle the queues faster.
  • It works well with data streaming applications.
  • It is beneficial for IoT applications.
  • It is a must for Bots’ communication.

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