Java Database Connectivity (JDBC) is an application programming interface (API) for the programming language Java, which defines how a client may access a database.
Managing databases and performing CRUD operations are fundamental tasks for developers building data-driven applications. While many database management systems (DBMS) exist, they can be complex and cumbersome to interact with, especially when it comes to creating databases and tables, handling constraints, and performing real-time data operations through an API.
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.
On one of my team's systems, we utilize a business operation with the EnsLib.SQL.OutboundAdapter to make SQL queries to another IRIS system using JDBC. To authenticate the connection, we utilize a user account on the target system.
They want to migrate the databases to the Azure Cloud and in doing so we need the Authentication to change to go through Microsoft Entra. I was given the following URL
Not sure there are many that connect to MS SQL to execute queries, stored procedures, etc, but our Healthsystem has many different MS SQL based databases we use within the Interoperability environment for various reasons.
With the push to moving from on-prem to the Cloud we ran into some difficulties with our SQL Gateway connections and knowing how to config them to use Microsoft Entra for Active Directory Authentication.
I have been trying to track down an issue we are seeing in our TEST environment with Memory usage.
We have Several BP's for years now that take a HL7 message, parse it apart, and make calls to a Custom EnsLib.SQL.OutboundAdapter to have it execute Insert/Select/Update/Delete stored procedures against a MS SQL Database via JDBC connection. We are using Microsoft's JDBC 12.2 driver to do this.
What we are seeing is that IRIS.WorkQueue globals are being defined for these calls but then the IRIS.WorkQueue is not being cleaned up and taking up large amounts of Memory.
I am using a JDBC connection to MS SQL server to execute a stored procedure to select data and bring it into InterSystems as a EnsLib.SQL.Snapshot. I loop through the EnsLib.SQL.Snapshot using a while loop, but I also want to iterate through the Columns within that Row to do logic.
Is there a way to iterate through the Columns of the current Row of the EnsLib.SQL.Snapshot so I can apply logic/rules for further processing?
I am currently experiencing frustration with trying to Authenticate an Active Directory account through JDBC as the Hospital System moves from OnPrem SQL Server to using Azure SQL Server with Microsoft Entra Authentication.
Microsoft cannot give me a straight answer of what is required from a JDBC standpoint to authenticate from a Linux environment.
Due to MySQL's interpretation of SCHEMA differing from the common SQL understanding (as seen in IRIS/SQL Server/Oracle), our automated Linked Table Wizard may encounter errors when attempting to retrieve metadata information to build the Linked Table.
(This also applies to Linked Procedures and Views)
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