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Indexable
# ... (previous code)
for index, source_row in source_df.iterrows():
pk_value = source_row[pk]
# Check if the primary key exists in the target DataFrame
if pk_value not in target_df[pk].values:
# ... (code for constructing the INSERT query)
# Execute the INSERT query
if insert_columns: # Check if there are columns to insert
try:
print(insert_query)
cursor_ext.execute(insert_query)
# connection_ext.commit()
except Exception as e:
logging.error(
"Error - {} . Line No - {} ".format(str(e), str(sys.exc_info()[-1].tb_lineno)))
else:
# Check if there are columns to update
columns_to_update = []
for column_name, source_val in source_row.items():
if column_name not in ('created_by', 'created_on', 'updated_on', 'start_date', 'end_date'):
target_val = target_row[column_name]
if source_val != target_val:
columns_to_update.append(f"{column_name} = '{source_val}'")
# Generate an update query dynamically
if columns_to_update:
update_query = f"UPDATE {schema_ext}.{table_name} SET "
update_query += ", ".join(columns_to_update)
update_query += f" where {eprm_table_col_pk} = '{pk_value}'"
try:
print(update_query)
cursor_ext.execute(update_query)
# connection_ext.commit()
except Exception as e:
logging.error(
"Error - {} . Line No - {} ".format(str(e), str(sys.exc_info()[-1].tb_lineno)))
# ... (remaining code)
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