ca1989

ca1989

First time trying Flow, some novice questions

Today I started studying Flow, and I have some questions.
Please keep in mind that this is an example code, I want to use Flow.

So, it’s:

  • Reading a text file
  • Remove empty lines and newlines
  • Count the words
  • Generate a comma separated string line with word and count

This is what I’ve done so far:

def count_words(filepath) do
  File.stream!(filepath)
  |> Flow.from_enumerable()
  |> Flow.flat_map(&String.split(&1, " "))
  |> Flow.reject(&(&1 == "\n"))
  |> Flow.map(&String.replace(&1, "\n", ""))
  |> Flow.partition()
  |> Flow.reduce(fn -> %{} end, fn word, acc ->
    Map.update(acc, word, 1, &(&1 + 1))
  end)
  |> Enum.map(fn {word, count} -> "#{word},#{count}\n" end)
end

My questions:

  • Is it ok to chain multiple Flow operations? (reject, map…) or should I put everything in the reducer function?
  • IIUC The last Enum.map is not executed in parallel, but if I try to use Flow.map I got this error:
    ** (ArgumentError) map/2 cannot be called after group_by/reduce/emit_and_reduce operation (use on_trigger/2 if you want to further emit events or the accumulated state)
    which is quite informative, but still don’t get it

Cheers!

Marked As Solved Switch mode

NobbZ

NobbZ

Yes.

Putting everything in the reducer would create a flow that slightly shuffles your elements and then effectively reduces serially.

Because there are no events anymore after the reduce, you just have a single value that was reduced into.

Also Liked

fireside68

fireside68

I’m here because I am working through the Concurrent Data Processing in Elixir book. There’s a point in the bit on Flows where there is an error in the code. On page 102, this is suggested:

|> Flow.reject(&(&1.type == "closed"))
|> Flow.partition(key: {:key, :country})
|> Flow.group_by(& &1.country)
|> Flow.map(fn {country, data} -> {country, Enum.count(data)} end)
|> Enum.to_list()

The result of this code is a similar error:

iex(4)> Airports.open_airports
** (ArgumentError) map/2 cannot be called after group_by/reduce/emit_and_reduce operation (use on_trigger/2 if you want to further emit events or the accumulated state)
    (flow 1.2.4) lib/flow.ex:1976: Flow.add_mapper/3
    (airports 0.1.0) lib/airports.ex:26: Airports.open_airports/0
    iex:4: (file)

To anyone else who may have arrived by the same path, making this change will allow you to continue unabated:

    |> Flow.reject(&(&1.type == "closed"))
    |> Flow.partition(key: {:key, :country})
    |> Flow.group_by(& &1.country)
    |> Flow.on_trigger(fn count ->
      {Enum.map(count, fn {country, data} -> {country, Enum.count(data)} end), count}
    end)
    |> Enum.to_list()
ca1989

ca1989

Flow.reduce does indeed return a Flow, but I can’t call Flow.map on it, as I get the error I posted in the original post.

Following the suggestion in the error message, I was able to use on_trigger on the flow, to map over the result of Flow.reduce:

def count_words(filepath, :flow) do
  File.stream!(filepath)
  |> Flow.from_enumerable()
  |> Flow.flat_map(&String.split(&1, " "))
  |> Flow.reject(&(&1 == "\n"))
  |> Flow.map(&String.replace(&1, "\n", ""))
  |> Flow.map(&String.replace(&1, ",", " "))
  |> Flow.partition()
  |> Flow.reduce(fn -> %{} end, fn word, acc ->
    Map.update(acc, word, 1, &(&1 + 1))
  end)
  |> Flow.on_trigger(fn wordcount ->
    {Enum.map(wordcount, fn {w, c} -> "#{w},#{c}\n" end), wordcount}
  end)
  |> Enum.into([])
end

IIUC the Enum.map inside the on_trigger run sequentially on the batches, while the trigger function itself is parallel.

Thank you

ca1989

ca1989

Ok, thanks.

I am quite embarassed by that. For some reasons, I was thinking in Enumerables when Flow functions works on Flows (Flow — Flow v1.2.4).

(Sorry for the very silly questions, I’m studying Flow alone and I have no one to ask silly questions to…)

Cheers!

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