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· Sep 22 5m read
Database Management Tool

Introduction

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.

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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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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.

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