re old-mode
Yes, that's fine. If you just want to get all the data asap, use
on('data', handler). It'll work great, and it's still very fast.
pause()/resume(), the whole bit. (The difference is that it won't
emit data until you're listening, and pause() will *actually* pause.)
Re read(cb)
It's problematic for reasons that I've discussed all of the places
where it's been brought up. That horse is dead, let's stop beating
it. (There were a few other proposals as well, btw. Reducibles and
some other monadic approaches come to mind.)
Re pipe() vs looping around read() vs custom Writable vs on('data')
Whatever works for your case is fine. It's flexible on purpose, and
allows more types of consumption than streams1, and creating custom
writables is easier than it was in streams1.
If you find something that the API can't do for you, or find yourself
doing a lot of backflips or overriding a lot of methods to get your
stuff working, then let's chat about it in a github issue. You might
be missing something, or you might have found a genuine shortcoming in
the API.
On Thu, Mar 21, 2013 at 2:01 PM, Sigurgeir Jonsson
<[email protected]> wrote:
> Thanks for all the answers. I almost forgot to look back at this thread as
> the custom writeStreams have exceeded the high expectation I had already for
> Streams 2.
> For me, the reference manual was a little confusing, as there are complete
> examples on using the read method, no mention of "reading" through a
> writeStream endpoint.
>
> Marco, I agree that that read has more detailed control of minimum incoming
> content. However I wonder if it would be more efficient to default
> pipe.chunkSize to a "lowWatermark" of the receiver (if defined). This
> lowWatermark could be adjusted dynamically and the callback in the writable
> should keep sequence of events under control?
>
> Anyway, thanks Node team, I'm very impressed!
>
>
>
>
>
>
>
>
>
>
>
> On Wednesday, March 20, 2013 4:45:32 AM UTC-4, Marco Rogers wrote:
>>
>> @Nathan's response is right. Creating a writable stream is preferable in
>> most cases. But I wanted to add a little context to that. If you're dealing
>> with a base readable stream, it's just pushing chunks of data at you off the
>> wire. Your first task is to collect those chunks into meaningful data. So
>> IMO the reason creating a writable stream is preferable is because it
>> prompts you not just read off the stream, but to create semantics around
>> what the new stream is supposed to be. The api reflects this opinion and
>> that's why creating writable streams feels like the more natural way, and
>> the ugliness of dealing with read() is wrapped up in the pipe() method. It
>> was kind of designed that way.
>>
>> But the read() api was also designed for a use case. It's meant to handle
>> low/high water marks effectively, as well as enable more optimized special
>> parsing by reading off specific lengths of chunks. These were things that
>> people kept needing, but the old api didn't support well. If you were
>> writing a library for a special parser, you might write a custom Writable
>> stream and inside it you would be using the read(n) api to control *how* you
>> read data off the socket. I hope that makes sense.
>>
>> :Marco
>>
>> On Monday, March 18, 2013 11:06:48 AM UTC-7, Sigurgeir Jonsson wrote:
>>>
>>> The new streams have excellent support for high/low watermarks and
>>> auto-pausing/resuming, but the documentation confuses me a little...
>>> particularly the read method.
>>>
>>> When I read the new docs for the first time I was under the impression
>>> that the optimal way to become a user of a stream is to write loops around
>>> the read functio. However in practice I find myself simply writing custom
>>> writeStreams and use the callback to control upstream pressure (in addition
>>> to source Watermarks if needed). Here is an example where I move the
>>> output to a queue that executes a custom function in parallel (i.e.
>>> uploading to a database) https://gist.github.com/ZJONSSON/5189249
>>>
>>> Are there any benefits to using the read method directly on a stream vs.
>>> piping to a custom Writable stream?
>
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