title: Bootstrap Sampling in R on large data (too large to fit in RAM)
body: <p>Is it possible to draw bootstrap samples from an .Rdata object, or any other large data object stored on disk? My current approach for sampling from very large data is to build a local MySQL database, and then draw random samples into R using SQL. Unfortunately, sampling and sorting in MySQL is not efficient at all. I'm wondering if anyone has engineered a better solution for this use case.</p>
  
  <p>To get a sense of my current solution, see this question on sampling in MySQL:
  <a href="https://stackoverflow.com/questions/249301/simple-random-samples-from-a-sql-database">Simple Random Samples from a Sql database</a></p>