Please note that the file name will be used when creating the Lambda function since AWS uses the file name as the identifier for the Lambda function. Next, we create a file called postgres_test.py. Print "I am unable to connect to the database" return conn Jq -r '.DBInstances|select(.DBInstanceIdentifier="postgresforlambdatest").Endpoint|.Address'`Ĭonn = nnect( "dbname='%s' user='%s' host='%s' password='%s'" % (db_name, db_user, db_host, db_pass)) let's create a Python file name db_util.py #!/usr/bin/python import psycopg2ĭb_host = `aws rds describe-db-instances |\ We'll create the deployment package next. jq is a very nice lightweight JSON parser which is quite helpful when using the AWS cli in JSON mode. This command assumes you have jq installed. Jq -r '.DBInstances|select(.DBInstanceIdentifier= "postgresforlambdatest").Endpoint |.Address' It will take a while for the database to start but you can find the endpoint as follows: aws rds describe-db-instances |\ If not, there's a good chance your database will not be accessible on the standard (5432) port. The database will start in your specified VPC where the security group and subnet group reside in, so if you're looking to test the database using an EC2 instance, it's important to make sure your instance uses the same VPC as well as the correct security group. micro \ - engine postgres \ - allocated - storage 5 \ - no - publicly - accessible \ - db - name yourdbname \ - master - username someusername \ - master - user - password supersecretpassword \ - backup - retention - period 3\ - vpc - security - group - ids This is very easy: #!/bin/sh aws rds create - db - instance - db - subnet - group - name \ - db - instance - identifier PostgresForLambdaTest \ - db - instance - class db. The next thing to do is to start a managed PostgreSQL database at AWS. rw-r-r- 1 jeffwang wheel 60B 29 May 14: 31 pip-selfcheck.jsonĭrwxr-xr-x 13 jeffwang wheel 442B 29 May 14: 32 psycopg2 # deactivate # mv lib/python2.7/site-packages/py4j /ĭownload psycopg2 # copy psycopg2 to your project root directory # git clone https: ///alexcasalboni/awslambda-psycopg2.git # cp -r awslambda-psycopg/psycopg2 / # ls -lĭrwxr-xr-x 6 jeffwang wheel 204B 29 May 14: 32 awslambda-psycopg2ĭrwxr-xr-x 16 jeffwang wheel 544B 29 May 14: 31 binĭrwxr-xr-x 3 jeffwang wheel 102B 29 May 14: 31 includeĭrwxr-xr-x 3 jeffwang wheel 102B 29 May 14: 31 lib (lambda_package) # ls -ld lib/python2.7/site-packages/py4jĭrwxr-xr-x 23 jeffwang wheel 782 29 May 14: 16 lib/python2. New python executable in / private/tmp/lambda_postgres/bin/python # cd /tmp/ # virtualenv lambda_postgres install py4j if you need it as dependency However, it doesn't work for psycopg2, lucky that you can use this pre-built psycopg2 library to connect to PostgreSQL. The easiest way to do this was to just use the Python virtualenv functionality to get required library ready. When using Python libraries that Lambda does not natively provide, you'll need to add them to the Lambda deployment package. This blog post addresses how to access to PostgreSQL and provides the code, including scripts for some of the steps described in the tutorial.įirst of all, let's talk about the dependencies. Understanding accessibility and security compliance - Strong knowledge of the common web server exploits and their solutions - Understanding fundamental design principles behind a scalable application - User authentication and authorization between multiple systems, servers, and environments - Integration of multiple data sources and databases into one system - Good experience working with SQL/NoSQL databases and their optimization for given use cases.AWS provides a tutorial on how to access MySQL databases from a python Lambda function, but we're heavily using PostgreSQL. (postgresql/ mysql) - experience in No sql database - Understanding of front-end technologies, such as JavaScript, HTML5, andCSS3 - Experience with AWS stack and technologies. 2 to 8 years experience in Nodejs & front end (reactjs preferably) - work on data processing jobs would be plus. Nodejs/express - Working knowledge of AWS lambda functions, dynamodb, Postgresql will be a big plus. Full Stack Skill set - Familiarity with OOPS concept and design patterns. Key Responsibilities- Solve complex performance problems and architectural challenges - High adaptability in a dynamic start-up environment - Collaborate with other team members and stakeholders - You will take ownership to run and monitor solution on aws infrastructure - Build reusable code and libraries for future use - Optimize application for maximum speed and scalability - Build efficient, testable, and reusable modules.
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