Read file content from S3 bucket with boto3

I read the filenames in my S3 bucket by doing

objs = boto3.client.list_objects(Bucket='my_bucket')
    while 'Contents' in objs.keys():
        objs_contents = objs['Contents']
        for i in range(len(objs_contents)):
            filename = objs_contents[i]['Key']

Now, I need to get the actual content of the file, similarly to a open(filename).readlines(). What is the best way?

Here is Solutions:

We have many solutions to this problem, But we recommend you to use the first solution because it is tested & true solution that will 100% work for you.

Solution 1

boto3 offers a resource model that makes tasks like iterating through objects easier. Unfortunately, StreamingBody doesn’t provide readline or readlines.

s3 = boto3.resource('s3')
bucket = s3.Bucket('test-bucket')
# Iterates through all the objects, doing the pagination for you. Each obj
# is an ObjectSummary, so it doesn't contain the body. You'll need to call
# get to get the whole body.
for obj in bucket.objects.all():
    key = obj.key
    body = obj.get()['Body'].read()

Solution 2

You might consider the smart_open module, which supports iterators:

from smart_open import smart_open

# stream lines from an S3 object
for line in smart_open('s3://mybucket/mykey.txt', 'rb'):
    print(line.decode('utf8'))

and context managers:

with smart_open('s3://mybucket/mykey.txt', 'rb') as s3_source:
    for line in s3_source:
         print(line.decode('utf8'))

    s3_source.seek(0)  # seek to the beginning
    b1000 = s3_source.read(1000)  # read 1000 bytes

Find smart_open at https://pypi.org/project/smart_open/

Solution 3

Using the client instead of resource:

s3 = boto3.client('s3')
bucket='bucket_name'
result = s3.list_objects(Bucket = bucket, Prefix='/something/')
for o in result.get('Contents'):
    data = s3.get_object(Bucket=bucket, Key=o.get('Key'))
    contents = data['Body'].read()
    print(contents.decode("utf-8"))

Solution 4

When you want to read a file with a different configuration than the default one, feel free to use either mpu.aws.s3_read(s3path) directly or the copy-pasted code:

def s3_read(source, profile_name=None):
    """
    Read a file from an S3 source.

    Parameters
    ----------
    source : str
        Path starting with s3://, e.g. 's3://bucket-name/key/foo.bar'
    profile_name : str, optional
        AWS profile

    Returns
    -------
    content : bytes

    botocore.exceptions.NoCredentialsError
        Botocore is not able to find your credentials. Either specify
        profile_name or add the environment variables AWS_ACCESS_KEY_ID,
        AWS_SECRET_ACCESS_KEY and AWS_SESSION_TOKEN.
        See https://boto3.readthedocs.io/en/latest/guide/configuration.html
    """
    session = boto3.Session(profile_name=profile_name)
    s3 = session.client('s3')
    bucket_name, key = mpu.aws._s3_path_split(source)
    s3_object = s3.get_object(Bucket=bucket_name, Key=key)
    body = s3_object['Body']
    return body.read()

Solution 5

If you already know the filename, you can use the boto3 builtin download_fileobj

import boto3

from io import BytesIO

session = boto3.Session()
s3_client = session.client("s3")

f = BytesIO()
s3_client.download_fileobj("bucket_name", "filename", f)
print(f.getvalue())

Solution 6

import boto3

print("started")

s3 = boto3.resource(‘s3′,region_name=’region_name’, aws_access_key_id=’your_access_id’, aws_secret_access_key=’your access key’)

obj = s3.Object(‘bucket_name’,’file_name’)

data=obj.get()[‘Body’].read()

print(data)

Solution 7

This is the correct and tested code to access the file contents using boto3 from the s3 bucket. It is working for me till the date of posting.

def get_file_contents(bucket, prefix):
    s3 = boto3.resource('s3')
    s3.meta.client.meta.events.register('choose-signer.s3.*', disable_signing)
    bucket = s3.Bucket(bucket)
    for obj in bucket.objects.filter(Prefix=prefix):
        key = obj.key
        body = obj.get()['Body'].read()
        print(body)
        return body

get_file_contents('coderbytechallengesandbox', '__cb__')

Solution 8

the best way for me is this:

result = s3.list_objects(Bucket = s3_bucket, Prefix=s3_key)
for file in result.get('Contents'):
    data = s3.get_object(Bucket=s3_bucket, Key=file.get('Key'))
    contents = data['Body'].read()
    #if Float types are not supported with dynamodb; use Decimal types instead
    j = json.loads(contents, parse_float=Decimal)
    for item in j:
       timestamp = item['timestamp']

       table.put_item(
           Item={
            'timestamp': timestamp
           }
      )

once you have the content you can run it through another loop to write it to a dynamodb table for instance …

Note: Use and implement solution 1 because this method fully tested our system.
Thank you 🙂

All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0

Leave a Reply