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- #TRANFER DATA FROM PYTHON TO AWS POSTGRESQL HOW TO#
- #TRANFER DATA FROM PYTHON TO AWS POSTGRESQL INSTALL#
- #TRANFER DATA FROM PYTHON TO AWS POSTGRESQL PASSWORD#
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.
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#TRANFER DATA FROM PYTHON TO AWS POSTGRESQL PASSWORD#
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
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# cd /tmp/ # virtualenv lambda_postgres
#TRANFER DATA FROM PYTHON TO AWS POSTGRESQL INSTALL#
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.
![tranfer data from python to aws postgresql tranfer data from python to aws postgresql](https://i.stack.imgur.com/xokxW.png)
#TRANFER DATA FROM PYTHON TO AWS POSTGRESQL HOW TO#
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. AWS provides a tutorial on how to access MySQL databases from a python Lambda function, but we're heavily using PostgreSQL.