test
Project description
comparerdspg
Under construction! Still you can use!
Developed by Tanmay Varade
This project help to compare your RDS parameter group with their default.
Examples of How To Use
Make sure you export your AWS credential to terminal
Compare one or more RDS instance parameter group
import comparerdspg
comparerdspg.customcompareclusterpg(["rds-instance-pg-1","rds-instance-pg-1",,"rds-instance-pg-n"], "aws-region")
# provide name of only custom RDS instance parameter name.
Compare one or more RDS instance parameter group
import comparerdspg
comparerdspg.customcompareinstancepg(["rds-cluster-pg-1","rds-cluster-pg-1",,"rds-cluster-pg-n"], "aws-region")
# provide name of only custom RDS cluster parameter name.
Compare all the custom RDS instance parameter group with specific family.
import comparerdspg
comparerdspg.compareinstancerdspg("aws-region","family-name")
# family-name = aurora-mysql5.7 if you wants to copare all instance parameter group having default family aurora-mysql5.7
# If you wants to store output in file provide filename argument to above function.
comparerdspg.compareinstancerdspg("aws-region","family-name", "file-name")
Compare all the custom RDS cluster parameter group with specific family.
import comparerdspg
comparerdspg.compareclusterrdspg("aws-region","family-name")
# family-name = aurora-mysql5.7 if you wants to copare all cluster parameter group having default family aurora-mysql5.7
# If you wants to store output in file provide filename argument to above function.
comparerdspg.compareclusterrdspg("aws-region","family-name", "file-name")
import comparerdspg
comparerdspg.compareclusterrdspg("aws-region","family-name")
# family-name = aurora-mysql5.7 if you wants to copare all cluster parameter group having default family aurora-mysql5.7
# If you wants to store output in file provide filename argument to above function.
comparerdspg.compareclusterrdspg("aws-region","family-name", "file-name")
If you get error for pandas module use below command to install
python3 -m pip install pandas
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