docs: Add snippets for upload_chunks_concurrently and add chunk_size

samples/snippets/snippets_test.py

@@ -75,6 +75,7 @@
 import storage_transfer_manager_download_bucket
 import storage_transfer_manager_download_chunks_concurrently
 import storage_transfer_manager_download_many
+import storage_transfer_manager_upload_chunks_concurrently
 import storage_transfer_manager_upload_directory
 import storage_transfer_manager_upload_many
 import storage_upload_file
@@ -243,7 +244,10 @@ def test_upload_blob_with_kms(test_bucket):
     with tempfile.NamedTemporaryFile() as source_file:
         source_file.write(b"test")
         storage_upload_with_kms_key.upload_blob_with_kms(
-            test_bucket.name, source_file.name, blob_name, KMS_KEY,
+            test_bucket.name,
+            source_file.name,
+            blob_name,
+            KMS_KEY,
         )
         bucket = storage.Client().bucket(test_bucket.name)
         kms_blob = bucket.get_blob(blob_name)
@@ -396,7 +400,10 @@ def test_move_blob(test_bucket_create, test_blob):
         print(f"test_move_blob not found in bucket {test_bucket_create.name}")
 
     storage_move_file.move_blob(
-        bucket.name, test_blob.name, test_bucket_create.name, "test_move_blob",
+        bucket.name,
+        test_blob.name,
+        test_bucket_create.name,
+        "test_move_blob",
     )
 
     assert test_bucket_create.get_blob("test_move_blob") is not None
@@ -412,7 +419,10 @@ def test_copy_blob(test_blob):
         pass
 
     storage_copy_file.copy_blob(
-        bucket.name, test_blob.name, bucket.name, "test_copy_blob",
+        bucket.name,
+        test_blob.name,
+        bucket.name,
+        "test_copy_blob",
     )
 
     assert bucket.get_blob("test_copy_blob") is not None
@@ -551,7 +561,10 @@ def test_define_bucket_website_configuration(test_bucket):
 def test_object_get_kms_key(test_bucket):
     with tempfile.NamedTemporaryFile() as source_file:
         storage_upload_with_kms_key.upload_blob_with_kms(
-            test_bucket.name, source_file.name, "test_upload_blob_encrypted", KMS_KEY,
+            test_bucket.name,
+            source_file.name,
+            "test_upload_blob_encrypted",
+            KMS_KEY,
         )
     kms_key = storage_object_get_kms_key.object_get_kms_key(
         test_bucket.name, "test_upload_blob_encrypted"
@@ -568,7 +581,10 @@ def test_storage_compose_file(test_bucket):
 
     with tempfile.NamedTemporaryFile() as dest_file:
         destination = storage_compose_file.compose_file(
-            test_bucket.name, source_files[0], source_files[1], dest_file.name,
+            test_bucket.name,
+            source_files[0],
+            source_files[1],
+            dest_file.name,
         )
         composed = destination.download_as_string()
 
@@ -608,7 +624,8 @@ def test_change_default_storage_class(test_bucket, capsys):
 
 def test_change_file_storage_class(test_blob, capsys):
     blob = storage_change_file_storage_class.change_file_storage_class(
-        test_blob.bucket.name, test_blob.name,
+        test_blob.bucket.name,
+        test_blob.name,
     )
     out, _ = capsys.readouterr()
     assert f"Blob {blob.name} in bucket {blob.bucket.name}" in out
@@ -694,7 +711,7 @@ def test_transfer_manager_snippets(test_bucket, capsys):
             test_bucket.name,
             BLOB_NAMES,
             source_directory="{}/".format(uploads),
-            processes=8,
+            workers=8,
         )
         out, _ = capsys.readouterr()
 
@@ -706,7 +723,7 @@ def test_transfer_manager_snippets(test_bucket, capsys):
         storage_transfer_manager_download_bucket.download_bucket_with_transfer_manager(
             test_bucket.name,
             destination_directory=os.path.join(downloads, ""),
-            processes=8,
+            workers=8,
             max_results=10000,
         )
         out, _ = capsys.readouterr()
@@ -720,7 +737,7 @@ def test_transfer_manager_snippets(test_bucket, capsys):
             test_bucket.name,
             blob_names=BLOB_NAMES,
             destination_directory=os.path.join(downloads, ""),
-            processes=8,
+            workers=8,
         )
         out, _ = capsys.readouterr()
 
@@ -763,18 +780,34 @@ def test_transfer_manager_download_chunks_concurrently(test_bucket, capsys):
     with tempfile.NamedTemporaryFile() as file:
         file.write(b"test")
 
-        storage_upload_file.upload_blob(
-            test_bucket.name, file.name, BLOB_NAME
-        )
+        storage_upload_file.upload_blob(test_bucket.name, file.name, BLOB_NAME)
 
     with tempfile.TemporaryDirectory() as downloads:
         # Download the file.
         storage_transfer_manager_download_chunks_concurrently.download_chunks_concurrently(
             test_bucket.name,
             BLOB_NAME,
             os.path.join(downloads, BLOB_NAME),
-            processes=8,
+            workers=8,
         )
         out, _ = capsys.readouterr()
 
-        assert "Downloaded {} to {}".format(BLOB_NAME, os.path.join(downloads, BLOB_NAME)) in out
+        assert (
+            "Downloaded {} to {}".format(BLOB_NAME, os.path.join(downloads, BLOB_NAME))
+            in out
+        )
+
+
+def test_transfer_manager_upload_chunks_concurrently(test_bucket, capsys):
+    BLOB_NAME = "test_file.txt"
+
+    with tempfile.NamedTemporaryFile() as file:
+        file.write(b"test")
+        file.flush()
+
+        storage_transfer_manager_upload_chunks_concurrently.upload_chunks_concurrently(
+            test_bucket.name, file.name, BLOB_NAME
+        )
+
+        out, _ = capsys.readouterr()
+        assert "File {} uploaded to {}".format(file.name, BLOB_NAME) in out

samples/snippets/storage_transfer_manager_download_bucket.py

@@ -14,7 +14,7 @@
 
 # [START storage_transfer_manager_download_bucket]
 def download_bucket_with_transfer_manager(
-    bucket_name, destination_directory="", processes=8, max_results=1000
+    bucket_name, destination_directory="", workers=8, max_results=1000
 ):
     """Download all of the blobs in a bucket, concurrently in a process pool.
 
@@ -40,8 +40,9 @@ def download_bucket_with_transfer_manager(
     # The maximum number of processes to use for the operation. The performance
     # impact of this value depends on the use case, but smaller files usually
     # benefit from a higher number of processes. Each additional process occupies
-    # some CPU and memory resources until finished.
-    # processes=8
+    # some CPU and memory resources until finished. Threads can be used instead
+    # of processes by passing `worker_type=transfer_manager.THREAD`.
+    # workers=8
 
     # The maximum number of results to fetch from bucket.list_blobs(). This
     # sample code fetches all of the blobs up to max_results and queues them all
@@ -60,7 +61,7 @@ def download_bucket_with_transfer_manager(
     blob_names = [blob.name for blob in bucket.list_blobs(max_results=max_results)]
 
     results = transfer_manager.download_many_to_path(
-        bucket, blob_names, destination_directory=destination_directory, max_workers=processes
+        bucket, blob_names, destination_directory=destination_directory, max_workers=workers
     )
 
     for name, result in zip(blob_names, results):

samples/snippets/storage_transfer_manager_download_chunks_concurrently.py

@@ -13,7 +13,9 @@
 # limitations under the License.
 
 # [START storage_transfer_manager_download_chunks_concurrently]
-def download_chunks_concurrently(bucket_name, blob_name, filename, processes=8):
+def download_chunks_concurrently(
+    bucket_name, blob_name, filename, chunk_size=32 * 1024 * 1024, workers=8
+):
     """Download a single file in chunks, concurrently in a process pool."""
 
     # The ID of your GCS bucket
@@ -25,19 +27,29 @@ def download_chunks_concurrently(bucket_name, blob_name, filename, processes=8):
     # The destination filename or path
     # filename = ""
 
+    # The size of each chunk. The performance impact of this value depends on
+    # the use case. The remote service has a minimum of 5 MiB and a maximum of
+    # 5 GiB.
+    # chunk_size = 32 * 1024 * 1024 (32 MiB)
+
     # The maximum number of processes to use for the operation. The performance
     # impact of this value depends on the use case, but smaller files usually
     # benefit from a higher number of processes. Each additional process occupies
-    # some CPU and memory resources until finished.
-    # processes=8
+    # some CPU and memory resources until finished. Threads can be used instead
+    # of processes by passing `worker_type=transfer_manager.THREAD`.
+    # workers=8
 
     from google.cloud.storage import Client, transfer_manager
 
     storage_client = Client()
     bucket = storage_client.bucket(bucket_name)
     blob = bucket.blob(blob_name)
 
-    transfer_manager.download_chunks_concurrently(blob, filename, max_workers=processes)
+    transfer_manager.download_chunks_concurrently(
+        blob, filename, chunk_size=chunk_size, max_workers=workers
+    )
 
     print("Downloaded {} to {}.".format(blob_name, filename))
+
+
 # [END storage_transfer_manager_download_chunks_concurrently]

samples/snippets/storage_transfer_manager_download_many.py

@@ -14,7 +14,7 @@
 
 # [START storage_transfer_manager_download_many]
 def download_many_blobs_with_transfer_manager(
-    bucket_name, blob_names, destination_directory="", processes=8
+    bucket_name, blob_names, destination_directory="", workers=8
 ):
     """Download blobs in a list by name, concurrently in a process pool.
 
@@ -46,16 +46,17 @@ def download_many_blobs_with_transfer_manager(
     # The maximum number of processes to use for the operation. The performance
     # impact of this value depends on the use case, but smaller files usually
     # benefit from a higher number of processes. Each additional process occupies
-    # some CPU and memory resources until finished.
-    # processes=8
+    # some CPU and memory resources until finished. Threads can be used instead
+    # of processes by passing `worker_type=transfer_manager.THREAD`.
+    # workers=8
 
     from google.cloud.storage import Client, transfer_manager
 
     storage_client = Client()
     bucket = storage_client.bucket(bucket_name)
 
     results = transfer_manager.download_many_to_path(
-        bucket, blob_names, destination_directory=destination_directory, max_workers=processes
+        bucket, blob_names, destination_directory=destination_directory, max_workers=workers
     )
 
     for name, result in zip(blob_names, results):

samples/snippets/storage_transfer_manager_upload_chunks_concurrently.py

@@ -0,0 +1,57 @@
+# Copyright 2023 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the 'License');
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# [START storage_transfer_manager_upload_chunks_concurrently]
+def upload_chunks_concurrently(
+    bucket_name,
+    source_filename,
+    destination_blob_name,
+    chunk_size=32 * 1024 * 1024,
+    workers=8,
+):
+    """Upload a single file, in chunks, concurrently in a process pool."""
+    # The ID of your GCS bucket
+    # bucket_name = "your-bucket-name"
+
+    # The path to your file to upload
+    # source_filename = "local/path/to/file"
+
+    # The ID of your GCS object
+    # destination_blob_name = "storage-object-name"
+
+    # The size of each chunk. The performance impact of this value depends on
+    # the use case. The remote service has a minimum of 5 MiB and a maximum of
+    # 5 GiB.
+    # chunk_size = 32 * 1024 * 1024 (32 MiB)
+
+    # The maximum number of processes to use for the operation. The performance
+    # impact of this value depends on the use case. Each additional process
+    # occupies some CPU and memory resources until finished. Threads can be used
+    # instead of processes by passing `worker_type=transfer_manager.THREAD`.
+    # workers=8
+
+    from google.cloud.storage import Client, transfer_manager
+
+    storage_client = Client()
+    bucket = storage_client.bucket(bucket_name)
+    blob = bucket.blob(destination_blob_name)
+
+    transfer_manager.upload_chunks_concurrently(
+        source_filename, blob, chunk_size=chunk_size, max_workers=workers
+    )
+
+    print(f"File {source_filename} uploaded to {destination_blob_name}.")
+
+
+# [END storage_transfer_manager_upload_chunks_concurrently]

samples/snippets/storage_transfer_manager_upload_directory.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 
 # [START storage_transfer_manager_upload_directory]
-def upload_directory_with_transfer_manager(bucket_name, source_directory, processes=8):
+def upload_directory_with_transfer_manager(bucket_name, source_directory, workers=8):
     """Upload every file in a directory, including all files in subdirectories.
 
     Each blob name is derived from the filename, not including the `directory`
@@ -33,8 +33,9 @@ def upload_directory_with_transfer_manager(bucket_name, source_directory, proces
     # The maximum number of processes to use for the operation. The performance
     # impact of this value depends on the use case, but smaller files usually
     # benefit from a higher number of processes. Each additional process occupies
-    # some CPU and memory resources until finished.
-    # processes=8
+    # some CPU and memory resources until finished. Threads can be used instead
+    # of processes by passing `worker_type=transfer_manager.THREAD`.
+    # workers=8
 
     from pathlib import Path
 
@@ -65,7 +66,7 @@ def upload_directory_with_transfer_manager(bucket_name, source_directory, proces
 
     # Start the upload.
     results = transfer_manager.upload_many_from_filenames(
-        bucket, string_paths, source_directory=source_directory, max_workers=processes
+        bucket, string_paths, source_directory=source_directory, max_workers=workers
     )
 
     for name, result in zip(string_paths, results):

samples/snippets/storage_transfer_manager_upload_many.py

@@ -14,7 +14,7 @@
 
 # [START storage_transfer_manager_upload_many]
 def upload_many_blobs_with_transfer_manager(
-    bucket_name, filenames, source_directory="", processes=8
+    bucket_name, filenames, source_directory="", workers=8
 ):
     """Upload every file in a list to a bucket, concurrently in a process pool.
 
@@ -43,16 +43,17 @@ def upload_many_blobs_with_transfer_manager(
     # The maximum number of processes to use for the operation. The performance
     # impact of this value depends on the use case, but smaller files usually
     # benefit from a higher number of processes. Each additional process occupies
-    # some CPU and memory resources until finished.
-    # processes=8
+    # some CPU and memory resources until finished. Threads can be used instead
+    # of processes by passing `worker_type=transfer_manager.THREAD`.
+    # workers=8
 
     from google.cloud.storage import Client, transfer_manager
 
     storage_client = Client()
     bucket = storage_client.bucket(bucket_name)
 
     results = transfer_manager.upload_many_from_filenames(
-        bucket, filenames, source_directory=source_directory, max_workers=processes
+        bucket, filenames, source_directory=source_directory, max_workers=workers
     )
 
     for name, result in zip(filenames, results):