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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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@@ -94,3 +94,82 @@ if __name__ == "__main__":
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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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To integrate the `ibm_db_dbi` package into your script, you can use it to establish a connection and execute queries. The `ibm_db_dbi` package provides a more Pythonic interface for interacting with IBM Db2 databases, similar to other DB-API 2.0 compliant modules like `sqlite3` or `psycopg2`.
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Here's how you can modify your script to use `ibm_db_dbi`:
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```python
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import ibm_db
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import ibm_db_dbi
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def generate_create_table_sql(schema_name, table_name, conn):
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# Query to get column details
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query = f"""
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SELECT COLNAME, TYPENAME, LENGTH, SCALE, NULLS, DEFAULT, IDENTITY
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FROM SYSCAT.COLUMNS
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WHERE TABSCHEMA = '{schema_name}' AND TABNAME = '{table_name}'
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ORDER BY COLNO;
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"""
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# Execute the query using ibm_db_dbi
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cursor = conn.cursor()
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cursor.execute(query)
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result = cursor.fetchone()
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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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while result:
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colname = result[0]
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typename = result[1]
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length = result[2]
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scale = result[3]
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nulls = 'NOT NULL' if result[4] == 'N' else 'NULL'
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default = f"DEFAULT {result[5]}" if result[5] else ''
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identity = 'GENERATED ALWAYS AS IDENTITY' if result[6] == 'Y' 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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result = cursor.fetchone()
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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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# Replace with your actual database connection details
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dsn = "DATABASE=your_db;HOSTNAME=your_host;PORT=your_port;PROTOCOL=TCPIP;UID=your_uid;PWD=your_pwd;"
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conn = ibm_db_dbi.connect(dsn, "", "")
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schema_name = 'your_schema'
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table_name = 'your_table'
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create_table_sql = generate_create_table_sql(schema_name, table_name, conn)
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print(create_table_sql)
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# Close the connection
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conn.close()
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```
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### Key Changes:
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1. **Connection**: The connection is established using `ibm_db_dbi.connect()` instead of `ibm_db.connect()`.
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2. **Cursor**: A cursor is created using `conn.cursor()`, and queries are executed using this cursor.
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3. **Fetching Results**: Results are fetched using `cursor.fetchone()`, which returns a tuple.
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This approach leverages the `ibm_db_dbi` package for a more Pythonic way of interacting with the database, making the code cleaner and easier to manage.

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