fiber_metrics

# Fiber metrics
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Track run time, wait time or memory allocations per `Fiber`, method or block.

* Designed for low overhead use in production
* Fast. Shared nothing (when possible)
* Simple.  0 configuration

This shard is modular
| `require` | |
| --- | --- |
| `fiber_metrics/all` | Batteries included.  Start here |
| `fiber_metrics` | Requires the minimum necessary to run with the lowest overhead |

## TODO
- [x] `Channel.send,recv`
- [ ] `sleep`
- [x] `Mutex`
- [x] `IO`
- [ ] Hook in to `Scheduler`
- [ ] ENV to control printing


## Installation

1. Add the dependency to your `shard.yml`:

   ```yaml
   dependencies:
     fiber_metrics:
       github: didactic-drunk/fiber_metrics.cr
   ```

2. Run `shards install`

## Usage


```crystal
require "fiber_metrics/all"

class Example
  # Must be included in each class containing a `@[Measure]` annotation **including subclasses**
  include Fiber::Metrics

  @[Measure]
  def foo
    bar
    sleep 0.2
    Bytes.new 16384
  end

  @[Measure]
  def bar
    baz
    sleep 0.2
    Bytes.new 32768
  end

  @[Measure]
  def baz
    sleep 0.2
    Bytes.new 65536
  end
end

e = Example.new
e.foo

Fiber.print_stats
```

## Example Output
```
┌───────┬───────┬───────┬───────┬───────┬───────┬───────┐
│ Calls │ IdleT │ BlkT  │ RunT  │ Total │ Mem   │ Name  │
├───────┼───────┼───────┼───────┼───────┼───────┼───────┤
│    1  │       │       │ 0.209 │ 0.209 │   64K │ C.baz │
│    1  │       │       │ 0.205 │ 0.414 │   32K │ C.bar │
│    1  │       │       │ 0.204 │ 0.622 │   16K │ C.foo │
└───────┴───────┴───────┴───────┴───────┴───────┴───────┘
```

Output is best viewed with [`less -RS`, `bat --wrap=never`]

| Column | Description |
| --- | --- |
| IdleT | Time idle.  `Channel.recv`, `IO.read`, etc |
| BlkT | Time blocked.  `Channel.send`, `IO.write`, etc |
| RunT | RunTime: Time spent within the measured method - [idle, blk], but not sub measured methods |
| Total | Total elapsed time including sub measured methods |
| Mem | Memory Allocated |

## How it works

`@[Measure]` wraps each method in (2) `Time.monotonic` calls and records the difference.

The collected metrics use Fiber local storage (no locking) until the first measured call returns
after which the local metrics are merged with a global set of metrics wrapped in a Mutex.

This means metrics are unavailable via `Fiber.stats` until the first measured method `foo` returns.
This is ideal for
* Applications that show/record stats before exit
* Request/response (HTTP, message queue, etc) type servers that want periodic snapshots of activity

### @[Measure] Logic
```crystal
@[Measure]
def foo
  # Time.monotonic
  bar
  # Time.monotonic
  # Store metrics in fiber local storage
  # Merge fiber local metrics with global metrics
  # Reset fiber local metrics
end

@[Measure]
def bar
  # Time.monotonic
  baz
  # Time.monotonic
  # Store metrics in fiber local storage
end

@[Measure]
def baz
  # Time.monotonic
  ...
  # Time.monotonic
  # Store metrics in fiber local storage
end
```


More options to control the merging process may appear after use cases are discussed.
Open a discussion if the current behavior doesn't fit your needs.


## Contributing

1. Fork it (<https://github.com/didactic-drunk/fiber_metrics.cr/fork>)
2. Create your feature branch (`git checkout -b my-new-feature`)
3. Commit your changes (`git commit -am 'Add some feature'`)
4. Push to the branch (`git push origin my-new-feature`)
5. Create a new Pull Request

## Contributors

- [Didactic Drunk](https://github.com/didactic-drunk) - creator and maintainer