Google Cloud Storage: concurrency controls and deeper App Engine integration
By Navneet Joneja, Product ManagerGoogle Cloud Storage is a
robust, high-performance
service that enables developers and businesses to use Google’s infrastructure to store and
serve their data. Today, we’re announcing a new feature that gives you greater control over
concurrent writes to the same object, and the availability of an App Engine Files API that
makes it easier to read and write data from Java App Engine applications.
Write concurrency controlA number of our
customers have asked us for greater control over concurrent writes, in order to implement
features like strongly consistent write operations and distributed locking semantics in the
cloud. In response to your feedback, we’re announcing the release of
version-based
concurrency control. Every time you update an object, it gets assigned a 32-bit,
monotonically increasing sequence number. This version number is returned as a header with
every GET or HEAD request. You can then use a conditional write operation to manage concurrent
updates to the object (for example, when you want read-modify-write semantics). This feature
is currently experimental.
AppEngine Files API for Java
applicationsLast fall, we
announced
the ability to read and write your Google Cloud Storage data using the App Engine Files API
for Python applications. Today, we’re making the
Files API available to
Java App Engine applications too. This feature is currently experimental, and we’ll
continue to enhance it in the months to come.
As always, we welcome
your feedback in our
discussion
group. If you haven’t tried Google Cloud Storage yet, you can sign up and get
started
here.
Navneet Joneja loves being at the forefront of the next
generation of simple and reliable software infrastructure, the foundation on which
next-generation technology is being built. When not working, he can usually be found dreaming
up new ways to entertain his intensely curious almost-two-year-old.Posted by Scott Knaster,
Editor
