#SQL

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.

Hi everyone.

This is a full example how to use a %ScrollableResultSet for results pagination using %DynamicQuery:SQL and build a JSON response including page details.

Feel free to use, share, comment or improve it.

Kind Regards

In ObjectScript you have a wide collection of functions that return some value
typically:

set variable = $somefunction(param1,param2, ...)

There is nothing special about that.
But there is a set of functions that I classify as LEFT SIDED
The specialty of them is that you can use them also on the left of the equal operator
as a target in the SET command:

set $somefunction(param1,param2, ...) = value

I have been walking through this with a few team members and as such I thought there might be others out there who could use it, especially if you work with HL7 & Ensemble/HealthConnect/HealthShare and never venture out past the Interoperability section.

When I use Escape logic when inserting or updating Oracle Table I'm getting Max-Length exceeded error. With the original value the length is good but after I add Escape Logic, it causes value to be greater than max-length. The original value was "I visited O'Brien before heading out of town." and after added Escape logic it was "I visited O''Brien before heading out of town." Max-Length is 45.

INSERT INTO MyText
    (text)
VALUES
    ('I visited O''Brien before heading out of town.')
                 /\
             right here  

Any ideas around this?

Hi, what is the easiest way to clear all the tables which store FHIR data? The most straitforward approach is to get a list of tables using the information_schema.tables view, then execute dynamic SQL with the "delete from" clause, but perhaps some helper class has already been written for this purpose?

Hi VSCode users!

Just want to check with you, is this settings.json file ideal enough if I:

1. Want VSCode to connect to IRIS in docker?

2. Want to use VSCode SQL Tool?

The connection settings file:

If you are a customer of the new InterSystems IRIS® Cloud SQL and InterSystems IRIS® Cloud IntegratedML® cloud offerings and want access to the metrics of your deployments and send them to your own Observability platform, here is a quick and dirty way to get it done by sending the metrics to Google Cloud Platform Monitoring (formerly StackDriver).

There is an interesting new feature in the recently announced 2024.1 preview, JSON_TABLE. JSON_TABLE is one of a family of functions introduced by the 2016 version of the SQL Standard (ISO Standard, published in early 2017). It allows for JSON values to be mapped to columns and queried using SQL. JSON_TABLE is valid in the FROM clause of some SQL statements.

The syntax of JSON_TABLE is quite large, allowing for exceptional conditions where the provided JSON values don't match expectations, nested structures and so on.

Nowadays so much noise around LLM, AI, and so on. Vector databases are kind of a part of it, and already many different realizations for the support in the world outside of IRIS.

Why Vector?

• Similarity Search: Vectors allow for efficient similarity search, such as finding the most similar items or documents in a dataset. Traditional relational databases are designed for exact match searches, which are not suitable for tasks like image or text similarity search.
• Flexibility: Vector representations are versatile and can be derived from various data types, such as text (via embeddings like Word2Vec, BERT), images (via deep learning models), and more.
• Cross-Modal Searches: Vectors enable searching across different data modalities. For instance, given a vector representation of an image, one can search for similar images or related texts in a multimodal database.

And many other reasons.

So, for this pyhon contest, I decided to try to implement this support. And unfortunately I did not manage to finish it in time, below I'll explain why.

Hello Community,

SQL language remains the most practical way to retrieve information stored in a database.

The JSON format is very often used in data exchange.

It is therefore common to seek to obtain data in JSON format from SQL queries.

Below you will find simple examples that can help you meet this need using ObjectScript and Python code.

I am exporting data from Cache using the SQL export wizard. This is on a docker image of Cache hosted on a Linux server.

I select my database, schema, and table, make sure that all columns are being exported, check other settings, and then finish the export.

All server settings look correct and permissions are rwe on the directory. I have tried various directories, including a system level directory. I tried creating the file before I do the export in case there was an issue with creating the files, and I also made sure the created files had rwe permisisons.

With the release of InterSystems IRIS Cloud SQL, we're getting more frequent questions about how to establish secure connections over JDBC and other driver technologies. While we have nice summary and detailed documentation on the driver technologies themselves, our documentation does not go as far to describe individual client tools, such as our personal favourite DBeaver. In this article, we'll describe the steps to create a secure connection from DBeaver to your Cloud SQL deployment.

Wondering what version the Information.Schema schema was introduced, so that I can decide how to query the metadata for user defined tables.

Thank you!