Python boto3: download files from s3 to local only if there are differences between s3 files and local ones
i have the following code that download files from s3 to local. However, i cannot figure out how to download only if s3 files are different from and more updated than the local ones. What is the best way to do this ? Is it based on modified time or ETags or MD5 or all of these?
Opening all files from S3 folder into dataframe
I am currently opening a csv file as is:
Opening all files from S3 folder into dataframe
I am currently opening a csv file as is:
Why am I getting “Part number must be an integer between 1 and 10000” error in S3 multipart upload?
I’m working on uploading a large database dump (~85 GB) to an Amazon S3 bucket using a multipart upload via boto3. However, I keep encountering this error:
Using multiple AWS S3 query params in a single search using Boto3
I have an application that uses s3 as storage, I use boto3 to connect to s3. There are around 600,000 files in this storage. I need to search through these files from 1 day ago, and find matches that contain a certain string. I need to perform a query for a timeframe using a date and a string (sha256 hash). How can I perform multiple queries in a single search?
Initiate copy but exit without waiting for it to finish
I’m using boto3 to copy a large object from one bucket to another (3.5 GiB), I’m using the following code: