On 05/19/2016 12:42 AM, Eric Larson wrote:
Dmitry Tantsur writes:
This is pretty subjective, I would say. I personally don't feel Go
(especially its approach to error handling) any natural (at least no
more than Rust or Scala, for example). If familiarity for Python
developers is an argument here, mastering Cython or making OpenStack
run on PyPy must be much easier for a random Python developer out
there to seriously bump the performance. And it would not require
introducing a completely new language to the picture.
In one sense you are correct. It is easier for a Pythonista to pick up
Cython and use that for performance specific areas of code. At the same
time, I'd argue that OpenStack as a community is not the same as Python
at large. There are packaging requirements and cross project standards
that also come into play, not to mention operators that end up bearing
the brunt of those decisions. For example, Debian will likely not
package a PyPy only version of Designate along with all its
requirements. Similarly, while 50% of operators use packaged versioned,
that means 50% work from source control to build, test, and release
OpenStack projects.
Here you speak about distributions and packaging, and I rather agree
with you, but then...
You are correct that my position is subjective, but it is based on my
experiences trying to operate and deploy OpenStack in addition to
writing code. The draw of Go, in my experience, has been easily
deploying a single binary I've been able to build and test consistently.
The target system has doesn't require Go installed at all and it works
on old distros. And it has been much faster.
.. this is something distributions would never do or encourage. Ask zigo
for reasons :)
Coming from Python, the reason Go has been easy to get started with is
that it offers some protections that are useful such as memory
management. Features such as slices are extremely similar to Python and
go routines / channels allow supporting more complex patterns such as
generators. Yes, you are correct, error handling is controversial, but
at the same time, it is no better in C.
I'm not an expert in Go, but from what I've seen, Go has been easier to
build and deploy than Python, while being faster. Picking it up has been
trivial and becoming reasonably proficient has been a quick process.
When considered within the scope of OpenStack, it adds a minimal
overhead for testing, packaging and deployment, especially when compared
to C extensions, PyPy or Cython.
I hope that contextualizes my opinion a bit to make clear the subjective
aspects are based on OpenStack specific constraints.
--
Eric Larson | [email protected] Software Developer |
Cloud DNS | OpenStack Designate Rackspace Hosting | Austin, Texas
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