![]() import json import boto3 import psycopg2 def getCredentials(): # see above def lambda_handler(event, context): credential = getCredentials() connection = nnect(user=credential, password=credential, host=credential, database=credential) cursor = connection.cursor() query = "SELECT version() AS version" cursor.execute(query) results = cursor.fetchone() cursor.close() mit() return resultsĪnd that’s all there is to it! I hope this is helpful. Now we are ready to use the psycopg2 library. ![]() This function will return everything we need to connect to the database. Interface endpoint for Lambda set up in VPC/subnets. def getCredentials(): credential = secret_name = "mysecretname" region_name = "us-east-1" client = boto3.client( service_name='secretsmanager', region_name=region_name ) get_secret_value_response = client.get_secret_value( SecretId=secret_name ) secret = json.loads(get_secret_value_response) credential = secret credential = secret credential = "." credential = "databasename" return credential IAM role with correct policy attached to RDS instance confirmed with Access Advisor. Next, we’ll want to retrieve our secrets. Please don’t leave your database open to the internet. Luckily, someone has already prepared this for us.įirst, when creating the Lambda, make sure to set it up to run on a VPC / Subnet / Security group that is able to access your database instance. Without this, Lambda will throw an error. You need a version of psycopg2 with the libpq.so statically linked. But not just any version of psycopg2 will do. The first thing you need to work with Python in Lambda is the psycopg2 Python Library. I write my functions in Python, and when I first started, I had quite a bit of difficulty getting Postgres connections to work in Python on Lambda. The easiest way I’ve found to do this is to set up Lambda functions to run on a schedule to gather this information for me. With that out of the way, I’ve had use cases pop up where I want to write some meta data about my AWS environment to a relational database to be consumed by other applications. But sometimes you just want to use a relational database because the other tools that need to interact with the data don’t like NoSQL quite as much as you do.” I know you can do lots of neat stuff in DynamoDB using only the Boto3 Library. permission for rds-db:connect for my specific dB user and dB instance id. You can add an encryption key to your event, e.g.Before I start, I just want to say, “Yes. Im attempting to create a Lambda where I can make calls to various stored. Also you must either add a NAT gateway ( chargeable) to your VPC so the Lambda can connect to S3 over the Internet, or add an S3 VPC endpoint (free) and allow traffic to the appropriate S3 prefixlist. If you run the Lambda function inside a VPC, you must allow access from the Lambda Security Group to your database instance.If you run the Lambda function outside a VPC, you must enable public access to your database instance, a non VPC Lambda function executes on the public internet.This function will store your backup with the following s3 key: Configure input -> Constant (JSON text) and paste your config (as per previous step).Targets: Lambda Function (the one created in step #1).Event Source: Schedule -> Fixed rate of 1 hour.
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