Hi

I get the following error when I am trying to create a linked server connection via MS OLE DB Provider for ODBC Drivers in MS SQL Server Management Studio. The message I get is:

The OLE DB provider "MSDASQL" for linked server "IRIS" reported an error. The provider did not give any information about the error.
Cannot initialize the data source object of OLE DB provider "MSDASQL" for linked server "IRIS". (Framework Microsoft SqlClient Data Provider)

Hey everyone,

I'm currently running into a very weird issue to where I am trying to connect with a 64 bit version of SQL Server Management Studio (SSMS) to a HealthShare instance. I have created a System DSN using the Drivers (image below) that were downloaded with the Client version of the install and I'm able to successfully connect using my credentials.

Hello community,

How to install the iris package installer for Python (pip) in python and import iris package in python source code.

import iris
class Solution():
    iris.connection()

thanks!

Problems with Strings

I am accessing IRIS databases with JDBC (or ODBC) using Python. I want to fetch the data into a pandas dataframe to manipulate the data and create charts from it. I ran into a problem with string handling while using JDBC. This post is to help if anyone else has the same issues. Or, if there is an easier way to solve this, let me know in the comments!

I am using OSX, so I am unsure how unique my problem is. I am using Jupyter Notebooks, although the code would generally be the same if you used any other Python program or framework.

Hi everybody,
I am trying to connect with an IRIS database where to retrieve data and import them to SQL server but the access gets denied.
I would appreciate your help,
Thank you,
Jeb

I have following information:

Data Source Name --> I use it as the server name

Host(IP Address)

Port

Namespace --> I could use it in my script

import pyodbc

In this tutorial, I will discuss how can you connect your IRIS data platform to sql server db .

Prereq:

• Have ODBC driver installed in your device. You can download it from here: Download ODBC Driver for SQL Server - ODBC Driver for SQL Server | Microsoft Learn.
• Have SQL Server and IRIS installed in your device
• Have SQL Server connection Authentication enabled in SQL server

In the past, I've created custom SQL operations, but now I had something trivial to do, so I decided to take EnsLib.SQL.Operation.GenericOperation out for a spin. There's no example in the docs, so it was a little tricky. Here's what I ended up doing:

In my external database, I have 'mytable' with two fields 'id1' and 'id2'. Here are the pertinent Business Operation settings:

I am experiencing an issue while executing a stored procedure in InterSystems Cache. Here’s the procedure I created

CREATE PROCEDURE Silk.sp_InsertRecord (
IN RecordDate TIMESTAMP,
IN UserName VARCHAR(50),
IN RecordType INT,
IN RecordID VARCHAR(50),
IN CategoryID INT,
IN ApprovalDate TIMESTAMP,
IN FileSize BIGINT,
IN WorkstationName VARCHAR(50)
)
BEGIN
INSERT INTO DummyRecords (
RecordKey,
FilePath,
RecordDate,
UserName,

Using SQL Gateway with Python, Vector Search, and Interoperability in InterSystems Iris

Part 3 – REST and Interoperability

Now that we have finished the configuration of the SQL Gateway and we have been able to access the data from the external database via python, and we have set up our vectorized base, we can perform some queries. For this in this part of the article we will use an application developed with CSP, HTML and Javascript that will access an integration in Iris, which then performs the search for data similarity, sends it to LLM and finally returns the generated SQL. The CSP page calls an API in Iris that receives the data to be used in the query, calling the integration. For more information about REST in the Iris see the documentation available at https://docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls...

Using SQL Gateway with Python, Vector Search, and Interoperability in InterSystems Iris

Part 2 – Python and Vector Search

Since we have access to the data from our external table, we can use everything that Iris has to offer with this data. Let's, for example, read the data from our external table and generate a polynomial regression with it.

For more information on using python with Iris, see the documentation available at https://docs.intersystems.com/irislatest/csp/docbook/DocBook.UI.Page.cls?KEY=AFL_epython

Let's now consume the data from the external database to calculate a polynomial regression. To do this, we will use a python code to run a SQL that will read our MySQL table and turn it into a pandas dataframe: