Hi,

The system I am working on processes large numbers of records. Inserts, updates and so forth. There are multiple processes that can potentially work on the same table at the same time.

It is an almost impossible task to try and time these processes to not run at the same time, due to volumes, SLAs, etc.

Every now and then there are a few locking issues, Not many considering the volumes. It is just a bit of a nuisance as we need to reprocess these records later.

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Hi Community,

Play the new video on InterSystems Developers YouTube:

Projecting Your Globals to SQL @ Global Summit 2023

https://www.youtube.com/embed/jzT85B_Yw-c
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Intro

In a fast-paced digital era, effective communication is crucial. This article introduces a Java-based chat project, combining the strength of IRIS database and ChatGPT intelligence. Built on Java, it goes beyond real-time messaging, leveraging IRIS and ChatGPT for an enhanced chat experience. Also, the name of the project references the cultural classic - Star Wars.

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Suppose you have an application that allows users to write posts and comment on them. (Wait... that sounds familiar...)

For a given user, you want to be able to list all of the published posts with which that user has interacted - that is, either authored or commented on. How do you make this as fast as possible?

Here's what our %Persistent class definitions might look like as a starting point (storage definitions are important, but omitted for brevity):

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Case description

Let’s imagine that you are a Python developer or have a well-trained team specialized in Python, but the deadline you got to analyze some data in IRIS is tight. Of course, InterSystems offers many tools for all kinds of analyses and treatments. However, in the given scenario, it is better to get the job done using the good old Pandas and leave the IRIS for another time.

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Hi Developers,
Our next online Developer Roundtable will take place on November 30 at 10 am ET | 4 pm CET.📍

Tech talks:

1. Foreign Tables - by @Benjamin De Boe Manager, Analytics Product Management, InterSystems
2. Building "data products" with dbt and InterSystems IRIS - by @Thomas Dyar Product Manager, Machine Learning, InterSystems

We will have time for Q&A and open discussion.

Update: watch the recording of the roundtable below:

https://www.youtube.com/embed/RxLj4d8GvkQ
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Hi, Community!

This article is an overview of SQLAlchemy, so let's begin!

SQLAlchemy is the Python SQL toolkit that serves as a bridge between your Python code and the relational database system of your choice. Created by Michael Bayer, it is currently available as an open-source library under the MIT License. SQLAlchemy supports a wide range of database systems, including PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server, making it versatile and adaptable to different project requirements.

The SQLAlchemy SQL Toolkit and Object Relational Mapper from a comprehensive set of tools for working with databases and Python. It has several distinct areas of functionality which you can use individually or in various combinations. The major components are illustrated below, with component dependencies organized into layers:

_images/sqla_arch_small.png

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Question
· Nov 29, 2023
Cloud SQL

I want to connect the app to Cloud SQL but when I registered and created the deployment (trial) I got the error:

Did anybody face such an error?
During the creation of an account, there was a message like 'username is taken' but the account have been created anyway. Maybe it could cause this problem.

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Article
· Nov 24, 2023 4m read
A framework yes, but a suitable framework

How can IRIS productions be deployed more quickly and with greater peace of mind?

The aim of interoperability productions is to enable you to connect systems in order to transform and route messages between them. To connect systems, you develop, configure, deploy and manage productions that integrate several software systems.

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GmOwl is a solution that offers an organized and engaging learning platform. It was developed to cater to the increasing need, for learning tools providing a versatile quiz environment that meets users requirements.

The main objective of GmOwl is to deliver an user experience for individuals participating in quizzes while giving administrators comprehensive control, over content and user engagement.

GmOwl uses Java EE with MVC template, and the InterSystems IRIS database is used to store data. The InterSystems JDBC Driver is used to connect to the database.

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Hi Developers,

Hit play on the new video on InterSystems Developers YouTube:

Columnar Storage - The Lean Data Warehouse @ Global Summit 2023

https://www.youtube.com/embed/3BivXX1gImQ
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Article
· Jun 12, 2023 3m read
LangChain fixed the SQL for me

This article is a simple quick starter (what I did was) with SqlDatabaseChain.

Hope this ignites some interest.

Many thanks to:

sqlalchemy-iris author @Dmitry Maslennikov

Your project made this possible today.

The article script uses openai API so caution not to share table information and records externally, that you didn't intend to.

A local model could be plugged in , instead if needed.

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This applies to embedded and dynamic SQL queries in Caché ObjectScript. If I attempt to terminate the process via Management Portal, nothing happens. Neither does Ctrl C nor closing the terminal window in which my program is running, nor setting a stop flag in a global which is read by the program on each loop iteration. The only way to stop the query appears to be restarting the Caché server (which is running locally on my PC).

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I am very new to IRIS. We are developing a PHP application that connects to an IRIS instance of one of our vendors. I am having trouble with a specific table. When I need to query this specific table for specific fields, I am receiving an error. However, if I change the call to get all columns (`*`), there is no error. I get 37K records returned.

Error:

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For the upcoming Python contest, I would like to make a small demo, on how to create a simple REST application using Python, which will use IRIS as a database. Using this tools

  • FastAPI framework, high performance, easy to learn, fast to code, ready for production
  • SQLAlchemy is the Python SQL toolkit and Object Relational Mapper that gives application developers the full power and flexibility of SQL
  • Alembic is a lightweight database migration tool for usage with the SQLAlchemy Database Toolkit for Python.
  • Uvicorn is an ASGI web server implementation for Python.

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Hello all,

I'm trying to build a cube based on a linked table but seems that IRIS is not able to do it :O

Long story short, I have a linked table in IRIS that sources a Microsoft SQL table (using standard linked feature from the portal). It works fine, I can access it using SQL as many other times. On top of that, I've created in DeepSee (ok, Analytics) a cube that uses this class as source. It compiles correctly, no errors given. When I build it with 100 records, all goes well and using Analyzer I can see results.

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Hey Developers,

Enjoy watching the new video on InterSystems Developers YouTube:

InterSystems Cloud Services - InterSystems IRIS SQL & IntegratedML @ Global Summit 2023

https://www.youtube.com/embed/jjYnVsF9xeI
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Article
· Sep 26, 2023 1m read
Create JSON Objects and Arrays by SQL

The related package avoids adding %JSONAdaptor to each class but uses instead
SQL functions JSON_OBJECT() to create my JSON objects. With this approach, you can
add JSON to any class - even deployed ones - without any need for change or recompiling.

The trigger was the Export of M:N relationships as JSON objects or arrays.

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I need to run a SQL query and use the output to map PV1 7.1. The query is :

SELECT ID
FROM TestTable
WHERE ProviderName = 'TEST,PROVIDER' AND IDType= 'BPI'

When I run this query with the 'TEST PROVIDER' I do pull the ID in question but I can't figure out how to do it from the DTL given that there are various providers sent in PV 1 7 . Any assistance will be greatly appreciated.

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Earlier this year I announced availability of a VS Code extension for coding in ObjectScript, Embedded Python or SQL using the notebook paradigm popularized by Jupyter. Today I published a maintenance release to correct a "getting started" problem.

Here's a video of the installation steps from the extension's README:

Why not try it for yourself?

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