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How to Use Parameter File in a Mapping task? | Informatica Online Training
In Informatica Intelligent Cloud Services (IICS), you can use parameter files to parameterize mapping tasks. Parameter files provide a way to dynamically pass values to mappings at runtime, allowing for greater flexibility and reusability. - IICS Cloud Data Integration Online Training
Here's how you can use parameter files in a mapping task in IICS:
1. Create a Parameter File:
- First, create a parameter file where you define the parameters you want to use. You can create this file in any text editor. The parameter file typically has a .prm extension.
- Define parameters using the format `PARAM_NAME=PARAM_VALUE`.
For example:
```
SOURCE_FILE=/path/to/source/file.csv
TARGET_FILE=/path/to/target/file.csv
```
2. Upload the Parameter File:
- In the IICS environment, upload the parameter file to the appropriate location. You can upload it to the cloud storage service you're using within IICS, such as Amazon S3, Azure Blob Storage, or Google Cloud Storage. ...
... - Informatica Training Institutes in Hyderabad
3. Configure the Mapping Task:
- In your mapping task, go to the properties or settings where you want to use parameters.
- Instead of hardcoding values, reference the parameters defined in the parameter file using the following syntax: `$P{PARAM_NAME}`.
- For example, if you want to use the SOURCE_FILE parameter in your source file path, you would configure it like this: `$P{SOURCE_FILE}`.
4. Link the Parameter File:
- In the mapping task settings or properties, specify the location of the parameter file you uploaded in step 2. This tells IICS where to find the parameter values at runtime.
5. Execute the Mapping Task:
- When you execute the mapping task, IICS will read the parameter values from the parameter file and substitute them into the appropriate places in the mapping task. - Informatica Online Training
By using parameter files in this way, you can easily change the behavior of your mapping tasks without having to modify the mappings themselves. This provides greater flexibility and makes your mappings more reusable.

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