5/25/2023 0 Comments Aws postgresql lambda![]() ![]() lambda_function.py 1ĭb_host = "."Ĭonn = nnect( "dbname="Ī successful run will yield the following json and cheerful ] in the output.txt file.AWS recently introduced global condition context keys to restrict the usage of EC2 instance credentials to the instance itself. INSERT INTO estabs_tbl (address, estab_id, latitude, longitude, name) VALUES Create the table and populate it with data with the below SQL statements. We should be able to log-in to the instance from our SQL client now. This rule is necessary because the Lambda function and the RDS instance are in the same group and their relationship must be made explicit.įrom the command line, run aws rds describe-db-instances, from that json we’ll need the Endpoint.Address and Endpoint.Port as well as the master-username and master-user-password from the create statement. we’re telling the Security Group it can access resources from within itself. This time the ‘Source’ will be ‘Custom’ again, but we want to add the Security Group itself, i.e. Then, add another rule of type ‘PostgreSQL’. The ‘Protocol’ and ‘Port Range’ will self-populate and under ‘Source’ select ‘My IP.” This will allow you to access resources in that VPC from outside the VPC and from the IP address of your location. Under the Inbound tab, click ‘Edit’ and add a ‘PostgreSQL’ rule. Under ‘Connectivity’, look Security > VPC Security Groups and click on that VPC. ![]() (It can take a bit of time for AWS to create your DB.)Īfter the RDS instance is created, we’ll make some edits to the ‘Security Group’ inbound rules, then log-in to the instance via our PostgreSQL client of choice in order to make a table and populate it.įrom the AWS console, go to RDS > Databases then click on the database you just created. I set the –publicly-accessible flag to true for this instance so that I can access it via my SQL client. Remember the security-group id, we’ll need that in a few minutes. ![]() I chose a subnet-group and security-group in my default VPC, which is fine for this tutorial, but not recommended for production work. master-user-password lambdapgconnect1234 \ db-instance-identifier LambdaPGConnect \ Next, we’ll fire up an RDS instance of PostgreSQL. (Don’t forget to rename it from psycopg2-3.6 to psycopg2.) We’ll make a directory and copy the appropriate psycopg2 library for use with Python 3.6. The instructions in the repo are clear, so we’ll follow them. Lucky for us, this repo contains precompiled versions of psycopg2 for both Python2.* and Python3.6. Normally, I would just copy all my Python dependencies from my virtual env into a “dist” folder, zip that folder up with the lambda_function.py file and deploy that to S3, then Lambda.įor reasons well beyond the scope of this post, that method doesn’t work with the psycopg2 library, however. I recently had a need to write from a Lambda function into a PostgreSQL RDS instance.
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