1回答
- 新しい順
- 投票が多い順
- コメントが多い順
0
Hello,
The difference in performance that you observed between the Python Connector and JDBC driver could be due to the difference in the way they handle connections, data conversion and queries.
You may consider profiling the code execution and examining the query plans generated by both of them to get more insights.
Please go through the following blog that shares performance tuning techniques for Amazon Redshift : https://aws.amazon.com/blogs/big-data/top-10-performance-tuning-techniques-for-amazon-redshift/
You may also check the below GitHub links for the above drivers :
- aws/amazon-redshift-jdbc-driver - https://github.com/aws/amazon-redshift-jdbc-driver/issues
- aws/amazon-redshift-python-driver - https://github.com/aws/amazon-redshift-python-driver/issues
Reference :
[+] Configuring connections in Amazon Redshift - https://docs.aws.amazon.com/redshift/latest/mgmt/configuring-connections.html
Thank you!
回答済み 6ヶ月前
関連するコンテンツ
- AWS公式更新しました 3年前
- AWS公式更新しました 2年前