Focused crawls are collections of frequently-updated webcrawl data from narrow (as opposed to broad or wide) web crawls, often focused on a single domain or subdomain.
Virtual batching and LR scheduling are popular techniques with many applications. It would be nice to have an example of how to implement them with hivemind.
As of 0.8.15, ExpertBackend supports two ways of doing so:
hacky way: by wrapping over optimizer and implementing LR schedule in opt.step
orthodox way: by subclassing ExpertBackend and implementing ap
Implementation of blocking (IO-Bound) cancellable java.util.concurrent.CompletionStage and related extensions to java.util.concurrent.ExecutorService-s
Async / Await asynchronous programming model for Java similar to the functionality available in C# 5. The implementation is based on continuations for Java (see my other projects).
For the database layer, I am currently weighing up ODB, Oat++, SOCI, cppdb, and sqlpp11 [if sqlpp adds support for
CREATE TABLE]. You here at drogon seem to have your own [ORM](https://en.wikipedia.