TL;DR: Trying to put .json files into S3 bucket using Boto3, process is very slow. Looking for ways to speed it up.
This is my first question on SO, so I apologize if I leave out any important details. Essentially I am trying to pull data from Elasticsearch and store it in an S3 bucket using Boto3. I referred to this post to pull multiple pages of ES data using the scroll function of the ES Python client. As I am scrolling, I am processing the data and putting it in the bucket as a [timestamp].json format, using this:
s3 = boto3.resource('s3')
data = '{"some":"json","test":"data"}'
key = "path/to/my/file/[timestamp].json"
s3.Bucket('my_bucket').put_object(Key=key, Body=data)
While running this on my machine, I noticed that this process is very slow. Using line profiler, I discovered that this line is consuming over 96% of the time in my entire program:
s3.Bucket('my_bucket').put_object(Key=key, Body=data)
What modification(s) can I make in order to speed up this process? Keep in mind, I am creating the .json files in my program (each one is ~240 bytes) and streaming them directly to S3 rather than saving them locally and uploading the files. Thanks in advance.
Since you are potentially uploading many small files, you should consider a few items:
upload_file or upload_fileobj methods instead as they will handle multi-part upload and threading.