I\'m trying to understand MongoDB and the concept of sharding. If we start with 2 no开发者_如何转开发des and partition say, customer data, based on last name where A thru M data is stored on node 1 an
We\'re building a relatively high profile site that is expected to have 100 million hits on the first days of launch.My predecessor had argued for a scale-up SQL strategy using a single server with 1
Say I have entities to store. ATM it would be good enough to consider them blobs. I want the entities to be stored on a cluster. The key/ID of the en开发者_运维问答tity is a (x,y) integer coordinate.
created a collection in MongoDB consisting of 11446615 documents. Each document has the following form:
I\'m working on setting up a MongoDB replica set on EC2. I\'d like to configure auto-sharding such that my nodes can easily come up and down.
My department has decided move to hash partitioning/sharding for some of our large Oracle databases.We will be splitting our entities across different schemas.I\'ve been tasked to do a spike to evalua
How would you scale writings without recurring to sharding (specially 开发者_如何转开发with SQL Server 2008)?Normally ... avoid indexes and foreign keys in big tables. Every insert/update on a indexed
We are thinking of centralizing cfg information and looks like zookeeper is a good choice. We are also interested in sharding and have a scheme. In the 开发者_运维知识库poweredBy[1] saw that Rackspace
My background is in relational DB\'s and I am doing some experimenting with Google AppEngine primarily for learning.I want to build an \"election\" app where a user belongs to a state (CA, NY, TX, etc
I\'m considering using EBS for a very large collection of maildirs. Lots of little files spread over开发者_JS百科 lots of directories. Would sharding my EBS storage into multiple smaller containers yi
加载中,请稍侯......