Java Database Connectivity (JDBC) is an application programming interface (API) for the programming language Java, which defines how a client may access a database.
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.
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.
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')"
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.
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