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The changes and enhancements made to the original script:

  1. Table Definition:

    • Added NOT NULL constraints to ensure that no null values are inserted into critical columns.
    • Specified a precision for the NUMERIC data type (NUMERIC(18, 2)) to accurately handle large debt amounts with decimal precision.
    • Defined a composite primary key on country_code and indicator_code to ensure each entry is unique based on these columns and to facilitate efficient lookups.
  2. Indexes:

    • Added indexes on country_name and indicator_name to improve query performance, particularly for queries that filter or join on these columns.
  3. Comments:

    • Included comments to describe the purpose of each column and step, enhancing the script's readability and maintainability.
  4. Data Import:

    • Specified the column order explicitly in the \copy command to ensure clarity and avoid potential issues if the CSV file's column order changes.
  5. Validation Query:

    • Included a SELECT query to validate the data import by checking the first few rows, providing a quick way to verify that the data has been correctly imported.

The changes and enhancements made to the original script:

1. **Table Definition**:
   - Added `NOT NULL` constraints to ensure that no null values are inserted into critical columns.
   - Specified a precision for the `NUMERIC` data type (`NUMERIC(18, 2)`) to accurately handle large debt amounts with decimal precision.
   - Defined a composite primary key on `country_code` and `indicator_code` to ensure each entry is unique based on these columns and to facilitate efficient lookups.

2. **Indexes**:
   - Added indexes on `country_name` and `indicator_name` to improve query performance, particularly for queries that filter or join on these columns.

3. **Comments**:
   - Included comments to describe the purpose of each column and step, enhancing the script's readability and maintainability.

4. **Data Import**:
   - Specified the column order explicitly in the `\copy` command to ensure clarity and avoid potential issues if the CSV file's column order changes.

5. **Validation Query**:
   - Included a `SELECT` query to validate the data import by checking the first few rows, providing a quick way to verify that the data has been correctly imported.
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