How to read DynamoDB table using aws lambda function in python?
I have a use-case where I have to read DynamoDB table data and convert this into csv file and write into a s3 bucket using AWS lambda function. DynamoDB tables data is bit low around 2-3 MB so I want to read entire table every week. I am new to AWS and services and want to how to read table without triggers and how to schedule lambda function so it can run every week?
Please share the steps to accomplish this task.
Any help would be appreciated.
To schedule a Lambda function to run on a regular basis, use CloudWatch Events.
Scanning a whole DynamoDB table may not be the most efficient way of doing things but here's some code anyway:
import boto3 ddbclient = boto3.client('dynamodb') def lambda_handler(event, context): paginator = ddbclient.get_paginator('scan') iterator = paginator.paginate(TableName='YourTableNameHere') for page in iterator: for item in page['Items']: <do some work here>
Okay cool and how can i schedule this lambda function to run every week?
Use CloudWatch Events with a cron expression telling it when you want to run the function.
DynamoDB: Time frame to avoid stale readasked 3 months ago
How to establish connection between Unity and AWS DynamoDB for WebGL platform ?asked 2 days ago
How can i import an .xlsx File located in S3 Bucket in my quicksight?asked 3 months ago
How to merge aws data pipeline output files into a single file?asked 2 months ago
How to read DynamoDB table using aws lambda function in python?asked a month ago
Using AWS Lambda to run Python script, how can I save data?Accepted Answerasked 3 years ago
Lambda that parses data into attributes?asked 6 days ago
A lambda function to delete old archive files in s3 bucketasked 3 years ago
Extracting tables DynamoDB->S3 : HIVE_BAD_DATAasked 2 months ago
Create cron job using AWS lambdaasked 2 years ago