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Asked: September 22, 20242024-09-22T12:09:27+05:30 2024-09-22T12:09:27+05:30In: AWS

How can I retrieve over 1000 objects from an S3 bucket when using the list-objects-v2 API method?

anonymous user

Hey everyone! I’m currently working on a project where I need to retrieve a large number of files from an S3 bucket. Specifically, I’m trying to pull over 1000 objects using the `list-objects-v2` API method. I’m a bit stuck on how to handle pagination since the API seems to only return a limited number of objects per call.

Has anyone faced this issue before? How did you manage to retrieve all the objects efficiently? Any tips or code snippets would be super helpful! Thanks in advance!

Amazon S3
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    1. anonymous user
      2024-09-22T12:09:27+05:30Added an answer on September 22, 2024 at 12:09 pm






      S3 Pagination Help

      Re: Retrieving Files from S3 Bucket

      Hey there!

      I’ve faced a similar issue with S3 and the list-objects-v2 API method. It can be a bit confusing at first, but once you understand how pagination works, it’s not too bad!

      When you call list-objects-v2, it returns up to 1000 objects at a time. To get more, you’ll need to use the NextContinuationToken that is included in the response if there are more objects to retrieve. Here’s a simple way to handle it:

              
      const AWS = require('aws-sdk');
      const s3 = new AWS.S3();
      
      async function listAllObjects(bucketName) {
          let isTruncated = true;
          let marker;
          const allObjects = [];
      
          while (isTruncated) {
              const params = {
                  Bucket: bucketName,
                  ContinuationToken: marker
              };
      
              const data = await s3.listObjectsV2(params).promise();
              allObjects.push(...data.Contents);
              isTruncated = data.IsTruncated; // Check if more objects are available
              marker = data.NextContinuationToken; // Update marker for next call
          }
      
          return allObjects;
      }
      
      listAllObjects('your-bucket-name')
          .then(objects => {
              console.log('Retrieved objects:', objects);
          })
          .catch(err => {
              console.error('Error retrieving objects:', err);
          });
              
          

      This code snippet shows how to loop through the results and collect all objects until there are no more left. Just replace your-bucket-name with your actual bucket name.

      I hope this helps! If you have any other questions, feel free to ask!


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    2. anonymous user
      2024-09-22T12:09:28+05:30Added an answer on September 22, 2024 at 12:09 pm


      When working with AWS S3 and the `list-objects-v2` API method, handling pagination is crucial since the API returns a maximum of 1,000 objects per request. To efficiently retrieve all your objects, you would need to implement a loop that continues making requests until all objects are retrieved. Each response from the API will include a ‘NextContinuationToken’ (if there are more objects to fetch), which you can use to request the next set of objects. Here’s a sample code snippet in Python using the Boto3 library to illustrate the concept:

      import boto3
      
      s3_client = boto3.client('s3')
      bucket_name = 'your-bucket-name'
      objects = []
      continuation_token = None
      
      while True:
          list_kwargs = {'Bucket': bucket_name, 'MaxKeys': 1000}
          if continuation_token:
              list_kwargs['ContinuationToken'] = continuation_token
      
          response = s3_client.list_objects_v2(**list_kwargs)
          objects.extend(response.get('Contents', []))
      
          if response.get('IsTruncated'):  # Check if there are more objects
              continuation_token = response.get('NextContinuationToken')
          else:
              break
      
      print(f'Retrieved {len(objects)} objects from {bucket_name}.')

      This approach will allow you to handle pagination seamlessly. Make sure to monitor the number of calls you make to avoid hitting any service limits. Additionally, you can also implement error handling to manage API response errors or issues with network connectivity.


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