liveBook · Manning

I/O

As explained in Code Like a Pro in Rust

I/O is the exchange of data between a program and an external source or destination such as a file, device, or network.

I/O exchanges data between a program and an external destination or source, including files, devices, and networks. In Rust, stateful I/O requires deliberate error handling, and functions performing I/O should generally return Result. section 6.4 section 8.2

Choose an execution model according to how the program spends time:

  • Synchronous I/O blocks while an operation completes, executing tasks sequentially. section 8.2
  • Asynchronous I/O is nonblocking: tasks interleave other work during I/O waits, avoiding thread context-switch overhead and supporting many lightweight tasks. section 8.2
  • Test I/O and other stateful operations as logic, while relying on Rust’s type system for reference validity, mutation safety, and race prevention. section 6.4

Typical waiting operations

Filesystem access and socket interaction provide direct I/O examples; waiting for a timer or computing a hash illustrates the same asynchronous control-flow pattern for other slow operations. section 8.2

Figure 8.3 Comparing synchronous to asynchronous I/O
CH08_F03_Matthews

Compare blocking synchronous I/O with nonblocking asynchronous I/O across waiting and result-processing time. section 8.2

How Code Like a Pro in Rust covers it

How deep it goes
Explains blocking and nonblocking behavior, waiting-time interleaving, and testing implications without detailing specific APIs.
Examples
Uses filesystem access, sockets, timers, hash computation, and a blocking-versus-nonblocking timing figure.
What you can do after
Evaluate whether synchronous blocking or asynchronous nonblocking I/O better fits waiting-heavy workloads and test I/O paths appropriately.
How it connects
Connects I/O with asynchronous programming, synchronous I/O, error handling, the Rust type system, race conditions, and concurrency.

Also explained in

Compare how 4 books explain I/O →

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Code Like a Pro in Rust. The section links point to the parts of the book it draws on.