![]() ![]() ![]() The important columns used in this example are “key”, “value” and “env”. You can do that and configure this as you wish. I’ve not added any primary keys (although “id” would be the one I’d use), indexes or any other potentially useful columns. The schema that I generally use can be seen below (this was written for SQL Server): The first thing you will need to do is to set up a database table to hold your context variable values. The solution I will give to the above problem is one I have evolved over several years and several projects, where some or all of the requirements above (and sometimes more complicated ones) have had to be met. ![]() After that, the jobs will automatically pick up the Context variable values when the jobs start, regardless of which environment they run on, and without any need to change the individual jobs. What if I said you can do this and keep the system incredibly dynamic and developer friendly, using nothing more than a couple of Operating System Environment Variables, a flat file, and a relatively simple Talend Routine? All you would need to do is configure the Environment Variables on the servers that jobs will be run on and place a flat file on those servers. How can this be done? Will this make the framework incredibly complicated? We want to maintain our Context variable values in a database (which at design time we have no idea of its location) and we want to keep the database connections details hidden so that they cannot easily be found by someone who might get access to the servers. We do not want to have to compile them again. Let’s say that we decide that we want our Talend Jobs to be able to run on any environment after they have been compiled. ![]() Hello and welcome to Part 3 of my best practices guide on context variables! Before I get started, I just want to inform you that this blog builds on concepts discussed in Part 1 and Part 2. Talend Job Design Patterns and Best Practices: Part 3.Talend Job Design Patterns and Best Practices: Part 4.What is Customer Data Integration (CDI)?.What is Data Extraction? Definition and Examples.Stitch Fully-managed data pipeline for analytics.Talend Data Fabric The unified platform for reliable, accessible data. ![]()
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