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docs(notes): update IBM DB2 table SQL guide
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Diff for: notes/2025-04-09-ibm-db2-table-sql-en.md

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@@ -92,4 +92,83 @@ if __name__ == "__main__":
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- **Constraints and Indexes**: This script does not include primary keys, foreign keys, or indexes. You would need to query additional system catalog tables to retrieve this information and add it to the `CREATE TABLE` statement.
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- **Error Handling**: Add error handling as needed to manage database connection issues or query execution errors.
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Would you like further customization or assistance with any part of this script?
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Would you like further customization or assistance with any part of this script?
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---
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If you can use DBeaver to export the table structure to a JSON file, you can then use that JSON file to construct the `CREATE TABLE` SQL statement. Here's how you can achieve this:
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### Steps to Export Table Structure to JSON using DBeaver
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1. **Open DBeaver**: Connect to your IBM Db2 database.
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2. **Navigate to the Table**: Find the table whose structure you want to export.
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3. **Export as JSON**: Right-click on the table and select the option to export the table structure as JSON. Save the JSON file to your local machine.
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### Python Script to Construct `CREATE TABLE` SQL from JSON
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Once you have the JSON file, you can use the following Python script to read the JSON file and construct the `CREATE TABLE` SQL statement:
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```python
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import json
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def generate_create_table_sql_from_json(json_file_path):
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# Load the JSON file
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with open(json_file_path, 'r') as file:
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table_data = json.load(file)
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# Extract table and schema name
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schema_name = table_data.get('schema')
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table_name = table_data.get('name')
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# Start constructing the CREATE TABLE statement
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create_table_sql = f"CREATE TABLE {schema_name}.{table_name} (\n"
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# Iterate over columns to construct the column definitions
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for column in table_data.get('columns', []):
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colname = column.get('name')
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typename = column.get('type')
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length = column.get('length')
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scale = column.get('scale')
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nulls = 'NOT NULL' if column.get('nullable') == False else 'NULL'
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default = f"DEFAULT {column.get('default')}" if column.get('default') else ''
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identity = 'GENERATED ALWAYS AS IDENTITY' if column.get('identity') == True else ''
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# Construct the column definition
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col_def = f" {colname} {typename}"
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if length:
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col_def += f"({length}"
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if scale:
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col_def += f", {scale}"
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col_def += ")"
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col_def += f" {nulls}"
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if default:
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col_def += f" {default}"
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if identity:
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col_def += f" {identity}"
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create_table_sql += col_def + ",\n"
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# Remove the last comma and add the closing parenthesis
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create_table_sql = create_table_sql.rstrip(",\n") + "\n);"
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return create_table_sql
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# Example usage
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if __name__ == "__main__":
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json_file_path = 'path_to_your_json_file.json'
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create_table_sql = generate_create_table_sql_from_json(json_file_path)
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print(create_table_sql)
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```
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### Instructions
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1. **Export JSON**: Use DBeaver to export the table structure to a JSON file.
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2. **Update File Path**: In the script, update the `json_file_path` variable with the path to your exported JSON file.
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3. **Run the Script**: Execute the script to generate the `CREATE TABLE` SQL statement.
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### Additional Considerations
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- **JSON Structure**: Ensure the JSON file contains the necessary details such as column names, data types, lengths, scales, nullability, defaults, and identity settings.
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- **Constraints and Indexes**: If the JSON file includes information about constraints and indexes, you can extend the script to include them in the `CREATE TABLE` statement.
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Would you like further customization or assistance with any part of this process?

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