I have been reading and learning about NoSQL and MongoDB, CouchDB, etc, for the last two days, but I still can\'t tell if this is the right kind of storage for me.
Consider an unversioned bucket with only eventual consistency. Suppose I just uploaded an object, and now I delete it. The delete request goes to a server to which the object has not yet propagated.
When using distributed and scalable architecture, eventual consistency is often a requirement. Graphically, how to deal with this eventual consistency?
Is it possible to create/store user accounts in a data store that exhibits eventual consistency? It seems impossible to manage account creation without a heap of ar开发者_如何学编程chitectural comple
Read-your-own-writes consistency is great improvement from the so called eventual consistency: if I change my profile picture I don\'t care if others see the change a minute later, but it looks weird
I\'m dev开发者_如何学Goeloping a system against Amazon\'s S3. I\'m doing it in C# using S3\'s .NET SDK.
The idea of asynchronous write, or write-behind, is that clients submit a request for a write operation, a开发者_开发百科nd then go their merry way without waiting for the write operation to conclude.
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When there is high concurrency up开发者_StackOverflowdates in index table how hbase ensure index consistency with data? that scan on index table won\'t see obsolete data when query primary table.
Scenario is a grid with a list of contacts.User clicks on \'send email\' from grid, sends an email.We drop a message in a queue to update some aggregates (which are also displayed on the list).
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