#SQL

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:

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.

Tring to Performing following script in IRIS but do not know how to format Date. Normally, I would use TO_DATE or TO_TIMESTAMP in the actual queue statement below, but since I'm using Prepared Statements, I do not know how to format date in 'values' that is being used in the %Execute. It generates errors. I'm updating an Oracle Database via a SQL JDBC Gateway Connection. Does anyone know how to pass in Dates?

Books Table definition

I am trying to do a INSERT OR UPDATE SQL query, but the query always inserts new rows to table. Is it how I defined the table or am I mising something in the query?

table defines as,

Class AH.AHCOMMON.Tables.HospDepartmentData Extends %Persistent [ Language = objectscript ]
{

Hey Developers,

Watch the latest video on InterSystems Developers YouTube:

⏯ Working with InterSystems IRIS Cloud SQL

https://www.youtube.com/embed/okMOwIW-yXY
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InterSystems is pleased to announce the General Availability of InterSystems IRIS Cloud SQL and InterSystems IRIS Cloud IntegratedML, two foundational services for developing cloud-native solutions powered by the proven, enterprise-class performance and reliability of InterSystems IRIS technology.

Is it planned that LOAD DATA takes into account several DATE/DATETIME formats with, for example, a parameter indicating the format used in the source data?

example :

LOAD DATA .../...
USING
{
  "from": {
    "file": {
       "dateformat": "DD/MM/YYYY"
    }
  }
}

Hello Community,

When using an SQL type Business Service, it may happen that we need to replay certain rows from the source table.

Let's take as an example the Business Service "from customer SQL" using the generic class EnsLib.SQL.Service.GenericService

Hi,

I'm trying to access to my datas stored in a RecordMap from SQLAlchemy, and I need to access to any tables already created before using SQLAlchemy.

Here is some part of my code :

TestBase:

Mapping Examples

Clearly if you have a fourth article in the trilogy you need to go for the money grab and write the fifth, so here it is!

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.