CSVIM (Comma Separated Values Import Model) 
Overview: 
The CSVIM (Comma Separated Values Import Model) file is used in the codbex platform to define the parameters and configuration for importing data from CSV files into a specified table in the database. This model allows you to customize the import process based on your specific requirements.
TIP
File extension: *.csvim
CSVIM File Structure 
A typical CSVIM file has the following structure:
{
  "files": [
    {
      "table": "MY_DATA",
      "schema": "PUBLIC",
      "file": "/my-project/csvim/data.csv",
      "header": true,
      "useHeaderNames": true,
      "delimField": ",",
      "delimEnclosing": "\"",
      "distinguishEmptyFromNull": true
    }
    // Additional file configurations can be added...
  ]
}CSVIM File Properties: 
- table(String): Specifies the name of the table in the database where the data will be imported.
- schema(String, Optional): Specifies the schema of the table. If not provided, the default schema is used.
- file(String): Specifies the path to the CSV file that contains the data to be imported.
- header(Boolean): Indicates whether the CSV file contains a header row. If set to true, the first row is treated as a header and skipped during the import.
- useHeaderNames(Boolean): Specifies whether to use header names when mapping columns. If set to true, header names are used.
- delimField(String): Specifies the delimiter used between fields in the CSV file, such as a comma (- ,).
- delimEnclosing(String): Specifies the enclosing character for fields in the CSV file, such as double quotes (- ").
- distinguishEmptyFromNull(Boolean): Specifies whether to distinguish empty values from- null. If set to true, empty values are treated as null during the import.
Example Usage: 
In the provided example, a CSV file (/my-project/csvim/data.csv) is imported into the MY_DATA table in the PUBLIC schema. The CSV file has a header, and header names are used for column mapping. The fields are delimited by a comma (,), and double quotes (") are used for enclosing fields. Empty values are distinguished from null.
Getting Started 
Create CSVIM File: 
Create a new CSVIM file or modify an existing one based on your import requirements.
Configure File Properties: 
Adjust the properties within the files array to specify the target table, schema, CSV file path, and import settings.
Import Data: 
Use the CSVIM file to initiate the data import process. This is done through the import mechanisms provided by the platform.
Best Practices 
Validate CSV Data: 
Ensure that the CSV file is well-formed and matches the specified configuration in the CSVIM file.
Review Import Results: 
After importing data, review any log or error messages to ensure a successful import.
Backup Data: 
Before performing data imports, consider backing up existing data in the target table to prevent accidental data loss.
Conclusion: 
The CSVIM (Comma Separated Values Import Model) in the codbex platform provides a flexible and configurable approach to importing data from CSV files into database tables. Customize the CSVIM file based on your data and import requirements to streamline the data loading process.