Update international_debt.sql#1
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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.
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The changes and enhancements made to the original script:
Table Definition:
NOT NULLconstraints to ensure that no null values are inserted into critical columns.NUMERICdata type (NUMERIC(18, 2)) to accurately handle large debt amounts with decimal precision.country_codeandindicator_codeto ensure each entry is unique based on these columns and to facilitate efficient lookups.Indexes:
country_nameandindicator_nameto improve query performance, particularly for queries that filter or join on these columns.Comments:
Data Import:
\copycommand to ensure clarity and avoid potential issues if the CSV file's column order changes.Validation Query:
SELECTquery to validate the data import by checking the first few rows, providing a quick way to verify that the data has been correctly imported.