Hi Elton, Typically, large data sets are of the sort that continuously grow, and are not edited or amended. For example, a common Hadoop use case is the analysis of log data or other instrumentation from web or application servers. In these cases, files are simply added, but there is no need to go back and change entries.
For the ability to have a more table-like random access storage on top of Hadoop, I would encourage you to look into HBase. It supports random read/write access with low latency. -Todd On Mon, Jun 28, 2010 at 9:48 PM, elton sky <eltonsky9...@gmail.com> wrote: > thanx Jeff, > > So...it is a significant drawback. > As a matter of fact, there are many cases we need to modify. > I dont understand why Yahoo didn't provoid that functionality. And as I > know > no one else is working on this. Why is that? > -- Todd Lipcon Software Engineer, Cloudera
