Have we made things too easy?

One of the old mantras for API design is “Make doing the right thing easy and the wrong thing hard”. This, of course, applies to much broader topics as well, such as software development or UX.

For software development specifically, are we maybe making “doing the wrong thing” too easy as well? Here are a two examples:

Web Requests

In the old times, requesting data from a web server required first setting up the request, sending it, and then getting the result back to your application either via polling or callbacks. Dave Mark once adequately called this solving the “waiting problem”. It was cumbersome, to say the least. It was clear that making such a request was something to be avoided. You did it when you had to, but you avoided setting up too many different kinds of requests implictly.

Nowadays, with the advent anonymous functions/lambdas in most mainstream programming languages, continuations became the new way handle these things: do_request(...).then(result -> ...) This already made this a lot easier. And even better, now we have some form of coroutines in many languages were you can just do result = await do_request(...). It even looks almost like a normal function call.

With this, programmers can just do requests one after the other. Need one thing from a server? Do one request. Need ten things from a server? Do ten requests. Of course, this is horribly wasteful: each request will incur the full overhead of http/https and a server roundtrip. In the old times, doing the request was painful, so you automatically looked for ways to avoid doing more, and bundle your asks into one request, argueable leading to a better program.

Dependencies

Before nice package-managers where a thing, handling dependencies was a huge pain. You would have to manually get, unpack, configure and install the dependency for each developer and/or consumer system. As a consequence, libraries were big and often duplicated foundational things. But it also caused developers carefully grooming their library selections.

Now with package managers, libraries have started to become small. Duplication within libraries certainly seems to have decreased, and the average library size has decreased. But this also caused developers to be much less cautious when adopting a dependency, with package managers handling thousands of dependencies that no one developer can possibly have a full understanding of. And this then leads to things like the leftpad disaster.

Better or worse?

I am pretty sure that both having nice abstractions to deal with asynchronicity and package managers are good things. But if they make certain things too easy, how can we deal with that? The only thing I can currently think of is figuratively sticking warning-labels on these things during review time, but because those things are now so easy and subtle, it is also easy to miss them.

Are there other examples were we maybe made the wrong thing too easy? Do you have any ideas how to deal with this problem?

Improving my C++ time queue

Another code snippet that can be found in a few of my projects is the “time queue”, which is a simple ‘priority queue’ style data structure that I use to defer actions to a later time.

With this specific data structure, I have multiple implementations that clearly came from the same source. One indicator for that is a snarky comment in both about how std::list is clearly not the best choice for the underlying data structure. They have diverged a bit since then though.

Requirements

In my use case not use time points, but only durations in standard-library nomenclature. This is a pretty restrictive requirement, because otherwise any priority queue (e.g. from boost or even from the standard library) can be used quite well. On the other hand, it allows me to use floating-point durations with predictable accuracy. The queue has two important functions:

  1. insert to insert a timeout duration and a payload.
  2. tick is called with a specific duration and then reports the payloads that have timed out since their insertions.

Typically tick is called a lot more frequently than insert, and it should be fast. The payload is typically something like a std::function or an id for a state-machine that needs to be pulsed.

The basic idea is to only keep the duration difference to the previous item in the list. Only the first item keeps its total timeout. This way, when tick is called, usually only the first item needs to be updated. tick only has to touch more items when they time out.

Simple Implementation

One of the implementations for void insert(TimeType timeout, PayloadType payload) looks like this:

if (tick_active_)
{
  deferred_.push_back({ .remaining = after, .payload = std::move(payload) });
  return;
}

auto i = queue_.begin();
for (; i != queue_.end() && timeout > i->remaining; ++i)
  timeout -= i->remaining;

if (i != queue_.end())
  i->remaining -= timeout;

queue_.insert(i, { .remaining = after, .payload = std::move(payload) });

There is a special case there that guards against inserting into queue_ (which is still a very bad std::list) by instead inserting into deferred_ (which is a std::vector, phew). We will see why this is useful in the implementation for template void tick(TimeType delta, Executor execute):

tick_active_ = true;
auto i = queue_.begin();
for (; i != queue_.end() && delta >= i->remaining; ++i)
{
  delta -= i->remaining;
  execute(i->payload);
}

if (i != queue_.end())
  i->remaining -= delta;

queue_.erase(queue_.begin(), i);
tick_active_ = false;

while (!deferred_.empty())
{
  auto& entry = deferred_.back();
  insert(entry.remaining, std::move(entry.payload));
  deferred_.pop_back();
}

The timed out items are reported via a callback that is supplied as Executor execute. Of course, these can do anything, including inserting new items, which can invalidate the iterator. This is a common use case, in fact, as many deferred actions will naturally want follow ups (let’s ignore for the moment that the implementation is nowhere near exception safe…). The items that were deferred to deferred_ in insert get added to queue_ after the iteration is complete.

This worked well enough to ship, but the other implementation had another good idea. Instead of reporting the timed-out items to a callback, it just returned them in a vector. The whole tick_active_ guard becomes unnecessary, as any processing on the returned items is naturally deferred until after the iteration:

std::vector<PayloadType> tick(TimeType delta)
{
  std::vector<PayloadType> result;
  auto i = queue_.begin();
  for (; i != queue_.end() && delta >= i->remaining; ++i)
  {
    delta -= i->remaining;
    result.push_back(i->payload);
  }

  if (i != queue_.end())
    i->remaining -= delta;

  queue_.erase(queue_.begin(), i);
  return result;
}

This solves the insert-while-tick problem, and lets us use the result neatly in a range-based for-loop like this: for (auto const& payload : queue.tick(delta)) {}. Which I personally always find a little bit nicer than inversion-of-control. However, the cost is at least one extra allocation for timed-out items. This might be acceptable, but maybe we can do better for very little extra complexity.

Return of the second list

Edit: The previous version of this article tried to keep the timed-out items at the beginning of the vector before returning them as a std::span. As commenter Steffen pointed out, this again prevents us from inserting while iterating on the result, as any insert might invalidate the backing-vector.

We can get rid of the allocation for most of the tick calls, even if they return a non-empty list. Remember that a std::vector does not deallocate its capacity even when it’s cleared unless that is explicitly requested, e.g. via shrink_to_fit. So instead of returning a new vector each time, we’re keeping one around for the timed out items and return a const-ref to it from tick:

std::vector<PayloadType> const& tick(TimeType delta)
{
  timed_out_.clear();
  auto i = queue_.begin();
  for (; i != queue_.end() && delta >= i->remaining; ++i)
  {
    delta -= i->remaining;
    timed_out_.push_back(std::move(i->payload));
  }

  if (i != queue_.end())
    i->remaining -= delta;

  queue_.erase(queue_.begin(), i);
  return timed_out_;
}

This solution is pretty similar to the deferred list from the first version, but instead of ‘locking’ the main list while iterating, we’re now separating the items we’re iterating on.