Using psycopg2 with Lambda to Update Redshift (Python)
<p>I am attempting to update Redshift from a Lambda function using python. To do this, I am attempting to combine 2 code fragments. Both fragments are functional when I run them separately.</p>

<ol>
<li><p>Updating Redshift from PyDev for Eclipse</p>

<pre><code>import psycopg2

conn_string = "dbname='name' port='0000' user='name' password='pwd' host='url'"
conn = psycopg2.connect(conn_string)

cursor = conn.cursor()

cursor.execute("UPDATE table SET attribute='new'")
conn.commit()
cursor.close()
</code></pre></li>
<li><p>Receiving Content Uploaded to S3 Bucket (Pre-Built Template Available on Lambda)</p>

<pre><code>from __future__ import print_function

import json
import urllib
import boto3

print('Loading function')

s3 = boto3.client('s3')


def lambda_handler(event, context):
    #print("Received event: " + json.dumps(event, indent=2))

    # Get the object from the event and show its content type
    bucket = event['Records'][0]['s3']['bucket']['name']
    key = urllib.unquote_plus(event['Records'][0]['s3']['object']['key']).decode('utf8')

    try:
        response = s3.get_object(Bucket=bucket, Key=key)
        print("CONTENT TYPE: " + response['ContentType'])
        return response['ContentType']

    except Exception as e:
        print(e)
        print('Error getting object {} from bucket {}. Make sure they exist and your bucket is in the same region as this function.'.format(key, bucket))
        raise e
</code></pre></li>
</ol>

<p>Since both of these segments worked, I tried to combine them so that I could update Redshift upon the upload of a file to s3:</p>

<pre><code>from __future__ import print_function

import json
import urllib
import boto3
import psycopg2

print('Loading function')

s3 = boto3.client('s3')


def lambda_handler(event, context):
    #print("Received event: " + json.dumps(event, indent=2))

    # Get the object from the event and show its content type
    bucket = event['Records'][0]['s3']['bucket']['name']
    key = urllib.unquote_plus(event['Records'][0]['s3']['object']['key']).decode('utf8')

    conn_string = "dbname='name' port='0000' user='name' password='pwd' host='url'"

    conn = psycopg2.connect(conn_string)

    cursor = conn.cursor()

    cursor.execute("UPDATE table SET attribute='new'")
    conn.commit()
    cursor.close()

    try:
        response = s3.get_object(Bucket=bucket, Key=key)
        print("CONTENT TYPE: " + response['Body'].read())
        return response['Body'].read()
    except Exception as e:
        print(e)
        print('Error getting object {} from bucket {}. Make sure they exist and your bucket is in the same region as this function.'.format(key, bucket))
        raise e
</code></pre>

<p>Since I am using an outside library, I need to create a deployment package. I created a new folder (lambda_function1) and moved my .py file (lambda_function1.py) to that folder. I ran the following command to install psycopg2 in that folder:</p>

<pre><code>pip install psycopg2 -t \lambda_function1
</code></pre>

<p>I receive the following feedback:</p>

<pre><code>Collecting psycopg2
  Using cached psycopg2-2.6.1-cp34-none-win_amd64.whl
Installing collected packages: psycopg2
Successfully installed psycopg2-2.6.1 
</code></pre>

<p>I then zipped the contents of the directory. And uploaded that zip to my lambda function. When I upload a document to the bucket the function monitors, I receive the following error in my cloudwatch log:</p>

<pre><code>Unable to import module 'lambda_function1': No module named _psycopg 
</code></pre>

<p>When I look in the library, the only thing named "_psycopg" is "_psycopg.pyd".</p>

<p>What is causing this problem? Does it matter that Lambda uses Python 2.7 when I use 3.4? Does it matter that I zipped the contents of my file on a Windows machine? Has anyone been able to successfully connect to Redshift from lambda? </p>