We have JSON type data in a Dynamic Object. Is there a simple way to export / dump that data to a delimited string or file?

e.g.

Results={"ClassA":{"ClassName":"ClassA","ACount":367191880,"BCount":367191880,"CurrentDiff":0,"PreviousDiff":0,"ReportDate":"2024-03-02 00:00:00"}
"ClassB":{"ClassName":"ClassB","ACount":5352149227,"BCount":5352149227,"CurrentDiff":0,"PreviousDiff":0,"ReportDate":"2024-03-02 00:00:00"}}

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In recent versions of IRIS, a powerful new data loading command has been introduced to SQL: LOAD DATA. This feature has been highly optimized to import data into IRIS extremely fast, allowing hundreds of gigabytes of data to be inserted in seconds instead of hours or days.

This is a very exciting improvement. However, a big problem in the data loading experience still exists. Namely, the time and hassle it takes to:

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It is probably somewhere in the doc. So hard to search. Hope InterSystems going to AI on their community/support data.

How to see a meaningful value in management portal - sql explorer. For instance
Class MySetting Extends %Persistent{
Property Name As %String;

Class MyObj Extends %Persistent{
Property Setting As MySetting;

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I recently had the need to monitor from HealthConnect the records present in a NoSQL database in the Cloud, more specifically Cloud Firestore, deployed in Firebase. With a quick glance I could see how easy it would be to create an ad-hoc Adapter to make the connection taking advantage of the capabilities of Embedded Python, so I got to work.

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Hey Community,

Watch the latest video on InterSystems Developers YouTube:

Using Vector Search for Generative AI

https://www.youtube.com/embed/IapbO3j1Qmw
[This is an embedded link, but you cannot view embedded content directly on the site because you have declined the cookies necessary to access it. To view embedded content, you would need to accept all cookies in your Cookies Settings]

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Updated Jan 19th, 2023.

Hi all,

I want to share a quick little method you can use to enable ssl with a self signed certificate on your local development instance of IRIS/HealthShare. This enables you to test https-specific features such as OAuth without a huge lift.

1. Install OpenSSL

Windows     : Download from https://www.openssl.org or other built OpenSSL Binary. 

Debian Linux: $ sudo apt-get -y install openssl

RHEL        : $ sudo yum install openssl
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Say I've been developing a web application that uses IRIS as the back end. I've been working on it with unauthenticated access. It's getting to the point where I would like to deploy it to users, but first I need to add authentication. Rather than using the default IRIS password authentication, I'd like users to sign in with my organization's Single Sign On, or some other popular identity provider like Google or GitHub. I've read that OpenID Connect is a common authentication standard, and it's supported by IRIS. What is the simplest way to get up and running?

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I am currently adding a field to our Existing messaging from Epic, however there might be a possibility I need to back load data into the Ancillary system. While I have the previous messages that can be sent, they do not have this additional field that I am adding to the message.

I can do a lookup against Epic Clarity SQL Database; however, I don't want to throw a wrench into the workflow if the system cannot connect to the Epic Clarity SQL Database.

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For example, I have two timestamp values ('2024-04-01 10:00:00', '2024-04-01 11:30:30'). I would like to find the difference between these two timestamps, and I need the result in hours:minutes:seconds (hh:mm:ss) format.

Expected Output: 01:30:30


Note: I need an SQL query command. I should not use ClassMethod, Function, or Stored Procedure.


Could anyone please provide me with an SQL query for my question?

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A report that I need to create - I need to write a class method that will execute a few queries and save the data to a class and then return the data in a result set that can be used in the Logi report as a Stored procedure.

I can create the class method that is a Stored procedure and do the queries and manipulate the data, however I am having an issue at the end of the method to return the fields back as a result set.

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During the realization of some required functionality, I discovered that I need to use Deflate compression, and found, that IRIS does not offer any options, $system.Util.Compress, works one way open (GZIP/COMPRESS) totally different, even for the same algorithms, I see that what I would expect as a result for Deflate somewhere there, but Compress returns something more. Is there any way to get a correct result using just ObjectScript without a need to use external tools? Was it really so difficult to have Deflate implemented in the first place?

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I know that you can use Do $SYSTEM.SQL.Schema.ImportDDL() to insert sql files into IRIS however I was wondering if there is a way that I can upload .sqlite files into iris? I have about 20 .sqlite files that I need to get into my database. I tried using the ImportDDL method but it said "SKIPPING non-SQL SOURCE:"

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When connectiong to IRIS from UBUNTU LTS 18.04, I got this error message:

ErrorException: odbc_connect(): SQL error: [unixODBC][Iris ODBC][State : S1000][Native Code 417]

[libirisodbcur6435.so]

Access Denied, SQL state S1000 in SQLConnect

I'm using "ODBC-2022.1.0.209.0-lnxubuntu1804x64.tar.gz" downloaded from

"https://github.com/intersystems-community/iris-driver-distribution/tree/..."

and folowing guide from

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It has been asked a few times recently, how one can make Laravel Framework work with InterSystems IRIS Data Platform. It's been a while since this post about Laravel and InterSystems Caché was published. To bring it up to date, the article gives a brief instruction set on how to setup and configure a Laravel project for use with InterSystems IRIS through ODBC.

What is Laravel?

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Introduction

In the modern digital age, securing applications, particularly those handling sensitive health data, is paramount. The confidentiality, integrity, and availability of such data are crucial, necessitating robust security measures. Two-factor authentication (2FA) stands out as a critical enhancement in safeguarding access, adding an extra layer of security beyond just passwords. Recognizing the significance of this feature, InterSystems provides built-in support for 2FA in its database solutions. This tutorial aims to guide you through the process of configuring two-factor authentication in your InterSystems environment, ensuring that your data remains secure and accessible only to authorized users.

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I built my rest api with ^%REST and update with CreateApplication.
Postman works fine and I suppose production server will work fine as UI and rest api will be on the same domain, but for now in dev, I need to have access from my local to the Iris rest api. I have a CORS error.

I do not know how to configure my swagger file to have either Parameter HandleCorsRequest=1 or <route Cors=true in the generated displ,cls.

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What is Unstructured Data?
Unstructured data refers to information lacking a predefined data model or organization. In contrast to structured data found in databases with clear structures (e.g., tables and fields), unstructured data lacks a fixed schema. This type of data includes text, images, videos, audio files, social media posts, emails, and more.

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Article
· Dec 9, 2023 3m read
Working Around SOAP Service Timeouts

Some of our applications provide SOAP services that use “DSTIME”-based SQL queries that return records that have recently been added or changed. Since the records don’t change often, these queries usually return a small number of records and therefore take little time.

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As you have seen in the latest community publications, InterSystems IRIS has included since version 2024.1 the possibility of including vector data types in its database and based on this type of data vector searches have been implemented. Well, these new features reminded me of the article I published a while ago that was based on facial recognition using Embedded Python.

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We all know that having a set of proper test data before deploying an application to production is crucial for ensuring its reliability and performance. It allows to simulate real-world scenarios and identify potential issues or bugs before they impact end-users. Moreover, testing with representative data sets allows to optimize performance, identify bottlenecks, and fine-tune algorithms or processes as needed. Ultimately, having a comprehensive set of test data helps to deliver a higher quality product, reducing the likelihood of post-production issues and enhancing the overall user experience.

In this article, let's look at how one can use generative AI, namely Gemini by Google, to generate (hopefully) meaningful data for the properties of multiple objects. To do this, I will use the RESTful service to generate data in a JSON format and then use the received data to create objects.

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Attempting to setup an outbound (I'm querying out, not querying the IRIS db) SQL connection. I am connecting to a PostgreSQL database, name "hl7interface".

I have setup the odbc.ini file at /usr/local/etc with the following contents:

[HL7Interface2]
Driver = PostgreSQL
Description = HL7 Interface DB
Servername = localhost
Port = 5432
Protocol = 7.4-1
#userName = postgres
#Password = <real pw here>
Database = hl7interface
ReadOnly = no
ServerType = Postgres

I have set the /etc/odbcinst.ini file with the location of the PostgreSQL driver:

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