开发者_高级运维I\'m making a GPS app that will deals with 200 millions records in a table. My initial thought is to divide the table into multiple tables like position_1, position_2, ... and split the
I was continuously inserting data into autosharded mongodb. (not updating, only insertion ) Experimental setup
I need to manage the acquisition of many record at hour. About 1000000 records. And I need to get every second the last insert value for every primary key. It works quit well with sharding. I was thin
I\'d like to know if I\'m making the right decision. I\'m developing an application that allows the user to mix database entries from a local database (possibly SQL CE or SQLite) and from a remote, sh
I understand the theory of sharding values in Google App Engine,as outlined here: http://code.google.com/appengine/articles/sharding_counters.html
I have a MySQL database with tables in the form of \"shard_0\", \"shard_1\", \"shard_2\", etc. These are virtual shards. Now I want to add another DB server and move the even-numbered shards (\"shard
I am asking this in the context of NoSQL - which achieves scalability and performance without being expensive.
Here\'s the problem I\'m trying to solve: I need to be able to display a paged, sorted table of data that is stored across several database shards.
I think one of the advantages of no-sql such as MongoDB is that it can scale horizontally automatically: just add a cheap machine and the data can \"spread over\" to the new machine.
I\'m having problems with what seems to be a simple sharding setup in mongo. I have two shards, a single mongos instance, and a single config server set up like this:
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