We want to export data from dynamo db to a file. We have around 150,000 records each record is of 430 bytes. It would be a periodic activity once a week. Can we do that with lambda? Is it possible as lambda has a maximum execution time of 15 minutes?
If there is a better option using python or via UI as I'm unable to export more than 100 records from UI?
You can export your data from dynamodb in a number of ways.
The simplest way would be a full table scan:
dynamodb = boto3.client('dynamodb')
response = dynamodb.scan(
TableName=your_table,
Select='ALL_ATTRIBUTES')
data = response['Items']
while 'LastEvaluatedKey' in response:
response = dynamodb.scan(
TableName=your_table,
Select='ALL_ATTRIBUTES',
ExclusiveStartKey=response['LastEvaluatedKey'])
data.extend(response['Items'])
# save your data as csv here
But if you want to do it every x days, I would recommend to you:
Create your first dump from your table with the code above.
Then, you can create a DynamoDB trigger to a lambda function that can receive all your table changes (insert, update, delete), and then you can append the data in your csv file. The code would be something like below:
def lambda_handler(event, context):
for record in event['Records']:
# get the changes here and save it
Since you will receive only your table updates, you don't need to worry about the 15 minutes execution from lambda.
You can read more about dynamodb streams and lambda here: DynamoDB Streams and AWS Lambda Triggers
And if you want to work on your data, you can always create a aws glue or an EMR cluster.
One really simple option is to use the Command Line Interface tools
aws dynamodb scan --table-name YOURTABLE --output text > outputfile.txt
This would give you a tab delimited output. You can run it as a cronjob for regular output.
The scan wouldn't take anything like 15 minutes (probably just a few seconds). So you wouldn't need to worry about your Lambda timing out if you did it that way.
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