Fix stream_write to properly raise an exception on failure, instead of just silently failing

This was causing problems for customers using georeplication over unstable storage engines

Also adds tests for stream_write and copy,  to ensure we detect failure
This commit is contained in:
Joseph Schorr 2018-10-31 12:46:49 -04:00
parent a048ff3633
commit 3a0adfcb11
3 changed files with 59 additions and 18 deletions

View file

@ -84,7 +84,7 @@ class BaseStorage(StoragePaths):
def stream_write_to_fp(self, in_fp, out_fp, num_bytes=READ_UNTIL_END):
""" Copy the specified number of bytes from the input file stream to the output stream. If
num_bytes < 0 copy until the stream ends.
num_bytes < 0 copy until the stream ends. Returns the number of bytes copied.
"""
bytes_copied = 0
while bytes_copied < num_bytes or num_bytes == READ_UNTIL_END:

View file

@ -182,12 +182,28 @@ class _CloudStorage(BaseStorageV2):
**self._upload_params)
def stream_write(self, path, fp, content_type=None, content_encoding=None):
self._stream_write_internal(path, fp, content_type, content_encoding)
""" Writes the data found in the file-like stream tot he given path. Raises an IOError
if the write fails.
"""
_, write_error = self._stream_write_internal(path, fp, content_type, content_encoding)
if write_error is not None:
logger.error('Error when trying to stream_write path `%s`: %s', path, write_error)
raise IOError('Exception when trying to stream_write path')
def _stream_write_internal(self, path, fp, content_type=None, content_encoding=None,
cancel_on_error=True, size=filelike.READ_UNTIL_END):
""" Writes the data found in the file-like stream to the given path, with optional limit
on size. Note that this method returns a *tuple* of (bytes_written, write_error) and should
*not* raise an exception (such as IOError) if a problem uploading occurred. ALWAYS check
the returned tuple on calls to this method.
"""
write_error = None
mp = self.__initiate_multipart_upload(path, content_type, content_encoding)
try:
mp = self.__initiate_multipart_upload(path, content_type, content_encoding)
except S3ResponseError as e:
logger.exception('Exception when initiating multipart upload')
return 0, e
# We are going to reuse this but be VERY careful to only read the number of bytes written to it
buf = StringIO.StringIO()
@ -211,7 +227,7 @@ class _CloudStorage(BaseStorageV2):
mp.upload_part_from_file(buf, num_part, size=bytes_staged)
total_bytes_written += bytes_staged
num_part += 1
except IOError as e:
except (S3ResponseError, IOError) as e:
logger.warn('Error when writing to stream in stream_write_internal at path %s: %s', path, e)
write_error = e
@ -219,7 +235,11 @@ class _CloudStorage(BaseStorageV2):
self._context.metric_queue.multipart_upload_end.Inc(labelvalues=['failure'])
if cancel_on_error:
mp.cancel_upload()
try:
mp.cancel_upload()
except (S3ResponseError, IOError):
logger.exception('Could not cancel upload')
return 0, write_error
else:
break
@ -263,6 +283,7 @@ class _CloudStorage(BaseStorageV2):
return k.etag[1:-1][:7]
def copy_to(self, destination, path):
""" Copies the given path from this storage to the destination storage. """
self._initialize_cloud_conn()
# First try to copy directly via boto, but only if the storages are the
@ -527,6 +548,11 @@ class GoogleCloudStorage(_CloudStorage):
def _stream_write_internal(self, path, fp, content_type=None, content_encoding=None,
cancel_on_error=True, size=filelike.READ_UNTIL_END):
""" Writes the data found in the file-like stream to the given path, with optional limit
on size. Note that this method returns a *tuple* of (bytes_written, write_error) and should
*not* raise an exception (such as IOError) if a problem uploading occurred. ALWAYS check
the returned tuple on calls to this method.
"""
# Minimum size of upload part size on S3 is 5MB
self._initialize_cloud_conn()
path = self._init_path(path)

View file

@ -7,6 +7,8 @@ import pytest
import moto
import boto
from moto import mock_s3
from storage import S3Storage, StorageContext
from storage.cloud import _CloudStorage, _PartUploadMetadata
from storage.cloud import _CHUNKS_KEY
@ -56,28 +58,29 @@ def test_basicop(storage_engine):
assert not storage_engine.exists(_TEST_PATH)
def test_copy_samecreds(storage_engine):
@pytest.mark.parametrize('bucket, username, password', [
pytest.param(_TEST_BUCKET, _TEST_USER, _TEST_PASSWORD, id='same credentials'),
pytest.param('another_bucket', 'blech', 'password', id='different credentials'),
])
def test_copy(bucket, username, password, storage_engine):
# Copy the content to another engine.
another_engine = S3Storage(_TEST_CONTEXT, 'another/path', _TEST_BUCKET, _TEST_USER,
_TEST_PASSWORD)
storage_engine.copy_to(another_engine, _TEST_PATH)
# Verify it can be retrieved.
assert another_engine.get_content(_TEST_PATH) == _TEST_CONTENT
def test_copy_differentcreds(storage_engine):
# Copy the content to another engine.
another_engine = S3Storage(_TEST_CONTEXT, 'another/path', 'another_bucket', 'blech',
'password')
boto.connect_s3().create_bucket('another_bucket')
storage_engine.copy_to(another_engine, _TEST_PATH)
# Verify it can be retrieved.
assert another_engine.get_content(_TEST_PATH) == _TEST_CONTENT
def test_copy_with_error(storage_engine):
another_engine = S3Storage(_TEST_CONTEXT, 'another/path', 'anotherbucket', 'foo',
'bar')
with pytest.raises(IOError):
storage_engine.copy_to(another_engine, _TEST_PATH)
def test_stream_read(storage_engine):
# Read the streaming content.
data = ''.join(storage_engine.stream_read(_TEST_PATH))
@ -95,6 +98,18 @@ def test_stream_write(storage_engine):
assert storage_engine.get_content(_TEST_PATH) == new_data
def test_stream_write_error():
with mock_s3():
# Create an engine but not the bucket.
engine = S3Storage(_TEST_CONTEXT, 'some/path', _TEST_BUCKET, _TEST_USER, _TEST_PASSWORD)
# Attempt to write to the uncreated bucket, which should raise an error.
with pytest.raises(IOError):
engine.stream_write(_TEST_PATH, StringIO('hello world'), content_type='Cool/Type')
assert not engine.exists(_TEST_PATH)
@pytest.mark.parametrize('chunk_count', [
0,
1,
@ -107,7 +122,7 @@ def test_stream_write(storage_engine):
def test_chunk_upload(storage_engine, chunk_count, force_client_side):
if chunk_count == 0 and force_client_side:
return
upload_id, metadata = storage_engine.initiate_chunked_upload()
final_data = ''