Recently, the question came up while discussing the access to the data stored in IRIS from different languages with my students if it was possible to initiate the connection and get data from Cloud solution (InterSystems IRIS CloudSQL) from Microsoft Excel, not the other way around. Considering the many varied ways one can get data in Excel (import data from external sources, connecting to databases using ODBC drivers, using power queries and web queries etc.) the obvious choice was to try ODBC driver. The only task left was to try to connect to the database in the cloud using the ODBC driver.

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Introduction

This article is intended to be a simple tutorial on how to create ODBC connections and working with them, since I found starting with them a little bit confused, but I had amazing people to take my hand and walk me through it, and I think everyone deserves that kind of help too.
I'm going to divide each little part in sections, so feel free to jump to the one you feel the need to, although I recommend reading everything.

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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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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...

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We're excited to continue to roll out new features to InterSystems IRIS Cloud SQL, such as the new Vector Search capability that was first released with InterSystems IRIS 2024.1. Cloud SQL is a cloud service that offers exactly that: SQL access in the cloud. That means you'll be using industry-standard driver technologies such as JDBC, ODBC, and DB-API to connect to this service and access your data. The documentation describes in proper detail how to configure the important driver-level settings, but doesn't cover specific third-party tools as - as you can imagine - there's an infinite number of them.

In this article, we'll complement that reference documentation with more detailed steps for a popular third-party data visualization tool that several of our customers use to access IRIS-based data: Microsoft Power BI.

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I've asked a lot of questions leading up to this, so I wanted to share some of my progress.

The blue line represents the number of messages processed. The background color represents the average response time. You can see ticks for each hour (and bigger ticks for each day). Hovering over any point in the graph will show you the numbers for that period in time.

This is super useful for "at a glance" performance monitoring as well as establishing patterns in our utilization.

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Hi Community

I have created a simple package that allows the use of Cache with the Laravel Framework.

From my initial testing everything seems to be operating smoothly but I would like to appeal to the PHP users in the community to help me improve this package.

For those of you out there who have time and would be interested in this, please visit the repo at https://github.com/jeandormehl/laracache

Thanks in advance

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Hey Developers,

New demo show by InterSystems Product Manager @Raj Singh is already on InterSystems Developers YouTube:

Develop a Python Flask app with InterSystems IRIS in 10 minutes

https://www.youtube.com/embed/271CEPw_weY
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Using SQL Gateway with Python, Vector Search, and Interoperability in InterSystems Iris

Part 1 - SQL Gateway

Hello

In this article we will look at the use of SQL Gateway in Iris. SQL Gateway allows Iris to have access to tables from other (external) database via ODBC or JDBC. We can access Tables or Views from various databases, such as Oracle, PostgreSQL, SQL Server, MySQL and others.

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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:

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The ideal number of table permissions to assign for your users is zero. Permissions should be granted upon sign-in based on the application used for access. For web applications, we have a simple way of doing this by appointing application roles, matching roles, and required resources in the System Management Portal.

ODBC and JDBC connections present a different problem, however, especially when third-party applications are involved. As providers of an ERP system, our customers often wish to be able to employ various software packages to integrate with or report on their data. Many of these programs are capable of running any kind of query. Yet, letting them do that can be devastating to a customer’s data.

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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.

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Hi all,

I'm trying to use LOAD DATA to insert 11k (11,377) rows of data. LOAD BULK DATA is not available for the version of IRIS I am using.

After calling LOAD DATA it says only 5,500 rows has been inserted. The LOAD DATA docs says any error rows are skipped and a count of skipped rows can be found in %SQL_Diag.Result however there are no results here. There are no errors in the xDBC error log either.

Why have over half the rows been skipped?

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Article
· Apr 8, 2024 1m read
using Procedure Parameters with ODBC/JDBC

Hi,

I was struggling with a procedure that was meant to receive a string and use it as a filter, I've found that since I want the procedure to do some data transformation and return a dataset, I needed to use objectScript language.

I've created the procedure using the SQL GUI in the portal, and everything works fine when calling the procedure from the SQL GUI but not through a JDBC connection here is the call "call spPatientOS('2024-04-07T12:35:32Z')"

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One of our apps uses a class query to support a ZEN Report and works just fine in that report, producing the expected results every time. We’ve since migrated to InterSystems Reports and noticed that, for a report using the same class query, 100s of extra rows with the same column values appear at its bottom.

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InterSystems FAQ rubric

If multiple InterSystems products are installed on the same system, the latest version of the InterSystems ODBC driver among the installed products will remain registered in the driver manager.

You can change to any driver by changing the registry entry below.

Please note that running RegFiles.bat does not change the ODBC driver.

The registry entry is as follows.

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I have a MySQL server with "posts" table.

I also have a Caché server with "downloadedposts" table.

They are connected from Caché to MySQL via SQL Gateway

I want to keep Caché table synced with MySQL one (MySQL "posts" table is a master copy), so periodically Caché queries MySQL server and downloads data. So far so good, and if a record appears or changes in MySQL table, Caché downloads the changes.

The problem I'm encountering is that sometimes rows would be deleted from MySQL "posts" table.

How do I synchronize deletions?

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Hello, I need to use IRIS to connect to an MSSQL base.
It has to be done via ODBC, I can't use JDBC at this time by client option.

I am trying to use Microsoft Driver
libmsodbcsql-13.1.so.9.2

But I can't, my attempts result in:
Connection failed.
SQLState: () NativeError: [11001] Message:

I have done all DSN configuration, and my configuration is listed in SQL Gateway Connections. I know it's working, because when I run a test with isql I have the information that connects to the bank.

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Hello Community,

Thank you all for your continued feedback and support of our ad hoc reporting platform, VDM. There's been some questions around setting up a non-ODBC connection for InterSystems platforms. We published a new YouTube video showing the steps necessary to connect to InterSystems Caché and InterSystems IRIS with BridgeWorks VDM.

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Hi Community!

Please welcome a new video on InterSystems YouTube Channel:

InterSystems and Python QuickStart

https://www.youtube.com/embed/HYc5wQ0uURg
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Article
· Apr 9, 2024 1m read
ODBC / JDBC data truncation

Hi, I hope this post helps.

The bottom line: MAXLEN is relevant mostly for odbc/jdbc connections and you need to specify an appropriate value within your tables (classes), otherwise the data might be truncated when you query it, or even fail when you try to insert data.

Long story:

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