S3 limit for objects in a bucket

Question

Does anyone know if there is a limit on the number of objects that I can put in an S3 bucket? can i supply a million, 10 million, etc. all in one bucket?

Answer 1

According to Amazon:

Writing, reading and deleting objects containing from 1 byte to 5 terabytes of data. The number of objects that you can save is unlimited.

Source: http://aws.amazon.com/s3/details/ dated September 3, 2015.

Answer 2

It seems that the limit has changed. You can store 5 TB for one object.

The total amount of data and the number of objects that you can store are not limited. Amazon S3 individual objects can range in size from 0 to 5 terabytes. The largest object that can be loaded in one PUT is 5 gigabytes. For objects larger than 100 megabytes, clients should consider using multi-part downloads.

http://aws.amazon.com/s3/faqs/#How_much_data_can_I_store

Answer 3

• There are no restrictions on objects per bucket.
• There is a limit of 100 kopecks for each account (you need to request Amazon if you need more).
• There is no performance degradation even if you store millions of objects in a single bucket.

In documents

There is no limit to the number of objects that can be stored in the bucket and there is no difference in performance whether you use a lot of buckets or just a few. You can store all your objects in one bucket, or you can organize them through several buckets.

as of august 2016

Answer 4

While you can store an unlimited number of files / objects in one bucket, when you go to the "directory" list in a bucket, by default it will give you the first 1000 files / objects in this bucket. To access all the files in a large "directory" like this, you need to make several calls to their API.

Answer 5

"You can store as many objects as you want in a bucket, and write, read and delete objects in your bucket. Objects can be up to 5 terabytes in size."

from http://aws.amazon.com/s3/details/ ( accessed March 4, 2015)

Answer 6

There is no limit to the number of objects that you can store in your S3 bucket. AWS claims to have unlimited storage. However, there are some limitations -

1. By default, customers can allocate up to 100 segments for each AWS account. However, you can increase your Amazon S3 basket limit by visiting AWS Service Limits.
2. An object can be from 0 bytes to 5 TB.
3. The largest object that can be loaded in one PUT is 5 gigabytes
4. For objects larger than 100 megabytes, clients should consider using multi-part downloads.

However, if you really have many objects that need to be stored in the S3 bucket, consider randomizing the object name prefix to improve performance.

When your workload is a combination of request types, add some randomness to the key names by adding a hash string as a prefix to the key name. By introducing randomness into the key names, the I / O load will be distributed across several index sections. For example, you can calculate the MD5 hash of a character sequence that you plan to assign as a key, and add 3 or 4 characters from the hash as a prefix to the key name.

More information - https://aws.amazon.com/premiumsupport/knowledge-center/s3-bucket-performance-improve/

- as of June 2018

Answer 7

@Acyra - The performance of delivering objects from a single bucket will largely depend on the names of the objects in it.

If the file names were deleted with random characters, their physical locations will extend further to the AWS hardware, but if you name everything “common-x.jpg”, “common-y.jpg”, then these objects will be stored together.

This can slow down the delivery of files if you request them at the same time, but not enough to worry about you, the greater the risk of data loss or failure, because these objects are stored together, they will be lost or inaccessible together.