Monday, November 30, 2009


How to store images larger than 1 megabyte in Google App Engine

Over the summer, Google App Engine raised its limits for web requests and responses from 1MB to 10MB, but kept the maximum size of any single database element at 1MB. If you try to exceed this, you'll get a MemoryError. You can find a fair amount of grief and woe and gnashing of teeth and wearing of sackcloth and ashes about this online.

Which is kind of surprising, because it's not that hard to break files up into chunks and store those chunks in the database separately. Here's what I did today for my current project, which stores data - including photos - uploaded from smartphones:

First, we have to receive the uploaded image. Our uploads are two-phase - first data, then a photo - for various reasons. The data upload includes the image's file name; the photo upload is a basic form/multipart POST with exactly one argument (the filename) and its value (the file).

So, in "":

class SaveImage(webapp.RequestHandler):
def post(self):
for arg in self.request.arguments():
file = self.request.get(arg)
response = entryHandler.saveImage(arg,file)

and in "":

class ImageChunk(db.Model):
entryRef = db.ReferenceProperty(Entry)
chunkIndex = db.IntegerProperty()
chunk = db.BlobProperty()

class EntryHandler:
def saveImage(self, fileName, file):
results = Entry.all().filter("photoPath =", fileName).fetch(1)
if len(results)==0:
logging.warning("Error - could not find the entry associated with image name "+fileName)
return "Failed"
entry = results[0]
while marker*MaxBTSize<len(file):
if MaxBTSize*(marker+1)>len(file):
chunk = ImageChunk(entryRef=entry, chunkIndex=marker, chunk=db.Blob(file[MaxBTSize*marker:]))
chunk = ImageChunk(entryRef=entry, chunkIndex=marker, chunk=db.Blob(file[MaxBTSize*marker:MaxBTSize*(marker+1)]))
marker+=1"Successfully received image "+fileName)
return "Successfully received image "+fileName

Pretty basic stuff: we chop the image up at each 1,000,000-byte mark, and put each chunk into its own ImageChunk DB object.

Then, when we need to retrieve the image, in '':

class ShowImageWithKey(webapp.RequestHandler):
def get(self):
key = self.request.get('entryKey')
entryHandler = ec.EntryHandler()
image = entryHandler.getImageByEntryKey(key)
if image is not None:
self.response.headers['Content-Type'] = 'image/jpeg'

and in '':

def getImageByEntryKey(self, key):
chunks = db.GqlQuery("SELECT * FROM ImageChunk WHERE entryRef = :1 ORDER BY chunkIndex", key).fetch(100)
if len(chunks)==0:
return None

for chunkRow in chunks:
return image

Since db.Blob is a subtype of str, that's all you have to do. I don't understand why some people are so upset about this: it's mildly annoying that I had to write the above, but hardly crippling. At least with JPEGs, which is what we use. (But I don't see why any other file type would be more difficult; they're ultimately all just a bunch of bytes). Could hardly be easier ... well, until App Engine rolls out their large file service.

(eta, Dec 14: which came out today! Meaning you can now disregard all the above and just use the new Blobstore instead.)

(eta, Dec 16: mmm, maybe not. Looked at the Blobstore in detail today, and it's really best suited for browser projects, not app or web-service stuff. The API for the blobs is very limited, and you can only access them via one-time-only URLs that App Engine puts in your HTML. You could scrape that, granted, but that's a pain in the ass, no less inelegant than the image-chunking solution above. It's experimental and subject to change, too. I think I'll hold out until its API improves.)

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This has been really helpful in getting around an annoying issue with Blobstore.

But how do you make thumbs of 1MB+ files? The Image class can only take 1MB files and blobstore values?

I really like your implementation, but can't be loading 5MB images in a gallery everytime I want to display some thumbs.

Any help would be greatly appreciated.
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Storing images larger than 1 megabyte in Google App Engine necessitates a strategic approach, balancing efficient data management with system limitations. By employing Cloud Storage, developers can efficiently handle larger image files, leveraging its scalable infrastructure and cost-effective storage solutions. Utilizing Cloud Storage's resumable uploads, developers can break down larger images into manageable chunks, facilitating smoother uploads while circumventing size constraints. Additionally, optimizing image formats and employing compression techniques like WebP can help reduce file sizes without compromising quality, enhancing storage efficiency. Although managing larger images in Google App Engine presents challenges, leveraging Cloud Storage's capabilities and employing optimization strategies empowers developers to efficiently handle and store substantial image files within the platform's constraints.
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Storing images larger than 1 megabyte in Google App Engine necessitates a strategic approach that surpasses the platform's default constraints. One efficient method involves utilizing Google Cloud Storage or Blobstore, integrated storage solutions that work seamlessly with App Engine. These alternatives enable developers to efficiently manage larger image files by storing them externally while maintaining the ability to reference and serve them within their applications. Although this process might involve a learning curve, leveraging Google Cloud Storage or Blobstore not only circumvents App Engine's file size limitations but also enhances scalability and performance, making it a viable solution for applications dealing with substantial image data.
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Storing images larger than 1 megabyte in Google App Engine demands a thoughtful and strategic approach, considering the platform's constraints. Leveraging Google Cloud Storage is a prudent choice, allowing seamless storage and retrieval of large files. By breaking down images into smaller, manageable chunks, developers can efficiently handle data transfer limitations inherent in App Engine. Adopting Google Cloud Storage's resumable uploads ensures reliability and integrity during the storage process, providing a robust solution for handling larger image files.
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Storing images larger than 1 megabyte in Google App Engine (GAE) requires careful consideration and implementation of efficient storage strategies. One approach is to utilize Google Cloud Storage (GCS), a scalable and cost-effective solution for storing large files, including images. By integrating GCS with GAE, developers can seamlessly upload, store, and retrieve images of any size, leveraging GCS's robust infrastructure and performance capabilities.
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