From 7fdc2cdaeab1c5a0a17a0f2be20687e367a27ce6 Mon Sep 17 00:00:00 2001
From: Rachel Hagerman <110480692+rlhagerm@users.noreply.github.com>
Date: Fri, 10 Jan 2025 08:28:23 -0600
Subject: [PATCH] Python: S3 Update Hello S3 to use pagination. (#7185)

Updates to hello S3 python example.
---
 python/example_code/s3/s3_basics/hello.py | 31 ++++++++++++++++++++---
 1 file changed, 27 insertions(+), 4 deletions(-)

diff --git a/python/example_code/s3/s3_basics/hello.py b/python/example_code/s3/s3_basics/hello.py
index 20bbb8a1b31..9291f2b4ca1 100644
--- a/python/example_code/s3/s3_basics/hello.py
+++ b/python/example_code/s3/s3_basics/hello.py
@@ -8,14 +8,37 @@
 def hello_s3():
     """
     Use the AWS SDK for Python (Boto3) to create an Amazon Simple Storage Service
-    (Amazon S3) resource and list the buckets in your account.
+    (Amazon S3) client and list the buckets in your account.
     This example uses the default settings specified in your shared credentials
     and config files.
     """
-    s3_resource = boto3.resource("s3")
+
+    # Create an S3 client.
+    s3_client = boto3.client("s3")
+
     print("Hello, Amazon S3! Let's list your buckets:")
-    for bucket in s3_resource.buckets.all():
-        print(f"\t{bucket.name}")
+
+    # Create a paginator for the list_buckets operation.
+    paginator = s3_client.get_paginator("list_buckets")
+
+    # Use the paginator to get a list of all buckets.
+    response_iterator = paginator.paginate(
+        PaginationConfig={
+            "PageSize": 50,  # Adjust PageSize as needed.
+            "StartingToken": None,
+        }
+    )
+
+    # Iterate through the pages of the response.
+    buckets_found = False
+    for page in response_iterator:
+        if "Buckets" in page and page["Buckets"]:
+            buckets_found = True
+            for bucket in page["Buckets"]:
+                print(f"\t{bucket['Name']}")
+
+    if not buckets_found:
+        print("No buckets found!")
 
 
 if __name__ == "__main__":