Using psycopg2 with Lambda to Update Redshift (Python)
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.
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Updating Redshift from PyDev for Eclipse
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() -
Receiving Content Uploaded to S3 Bucket (Pre-Built Template Available on Lambda)
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
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:
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
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:
pip install psycopg2 -t \lambda_function1
I receive the following feedback:
Collecting psycopg2
Using cached psycopg2-2.6.1-cp34-none-win_amd64.whl
Installing collected packages: psycopg2
Successfully installed psycopg2-2.6.1
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:
Unable to import module 'lambda_function1': No module named _psycopg
When I look in the library, the only thing named "_psycopg" is "_psycopg.pyd".
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?
Solution 1:
In order for this to work you need to build psycopg2 with statically linked libpq.so library. Check out this repo https://github.com/jkehler/awslambda-psycopg2. It has already build psycopg2 package and instructions how to build it yourself.
Back to your questions:
What is causing this problem?
psycopg2 needs to be build an compiled with statically linked libraries for Linux.
Does it matter that Lambda uses Python 2.7 when I use 3.4?
Yes it does, lambda only supports 2.7 version. Just create virtual environment and install all necessary packages in there.
Does it matter that I zipped the contents of my file on a Windows machine?
As long as all the libraries you zipped could ran on Linux it doesn't
Has anyone been able to successfully connect to Redshift from lambda?
yes.
Solution 2:
I just came across this same problem. I stumbled across the same github project that was noted in the other answer which explained the problem as follows:
Due to AWS Lambda missing the required PostgreSQL libraries in the AMI image, we needed to compile psycopg2 with the PostgreSQL libpq.so library statically linked libpq library instead of the default dynamic link.
This has been noted in the previous answer, and I started to follow the instructions to build myself a version of psycopg2 with a statically linked PostgreSQL library. I found a much easier option though. I noticed on the psycopg2 github page the following:
You can also obtain a stand-alone package, not requiring a compiler or external libraries, by installing the psycopg2-binary package from PyPI:
$ pip install psycopg2-binary
The binary package is a practical choice for development and testing but in production it is advised to use the package built from sources.
When I pip installed the psycopg2-binary package and included it in my requirements.txt file I was able to connect to my postgresql database from a lambda function flawlessly. I am using chalice which I highly recommend. I realize that psycopg2 recommends not using the binary version for production, but I don't see a huge difference between using the binary version or compiling and statically linking it yourself. Someone please correct me if I'm wrong on that.
Solution 3:
To use psycopg2 with aws lambda, use import aws-psycopg2
As aws supports psycopg2 but the way to import psycopg2 is a bit different as aws itself has a compiled library for psycopg2, so we need to import is using aws-psycopg2