hansonkd

Redis vs HTTP Benchmarks

See the original blog post

Results:

Name                           ips        average  deviation         median         99th %
redix_pool                   70.44       14.20 ms    ±36.07%       13.30 ms       50.60 ms
run_redix_pipeline 30.56 32.73 ms ±65.74% 47.26 ms 91.99 ms

hansonkd

defmodule Mix.Tasks.Statetrace.RunBench do
  use Mix.Task
  alias Statetrace.Meta

  @impl Mix.Task
  # credo:disable-for-next-line
  def run(_) do
    list = Enum.to_list(1..10_000)
    map_fun = fn i -> [i, i * i] end

hansonkd

Model
    .objects
    .filter(...)
    .order_by(...)
    .reverse()

hansonkd

with open('file_output.csv', 'w') as csvfile:
    writer = csv.DictWriter(csvfile, fieldnames=['Label', 'Issue Date'])
    
    for security in flat_securities:
        writer.write_row({'Label': security.label, 'Issue Date': security.issue_date})

hansonkd

all_securities = Security.objects.filter(company=company).for_report().iterator()

def flatten(*args):
    def transform_pipeline(mdl):
        data = FlatData()
        for fn in args:
            fn(data, mdl)
        return data
    return transform_pipeline

hansonkd

all_securities = Security.objects.filter(company=company).for_report().iterator()

class FlatData(object):
    pass

def add_issue_date((flat, mdl)):
    flat.issue_date = mdl.get_issue_date()
    return (flat, mdl)

def add_label((flat, mdl)):

hansonkd

def func1(obj):
    return do_stuff(obj)

def func2(self):
    return do_other_stuff(obj)

def func3(self):
    return do_more_stuff(obj)

composed = compose(

hansonkd

class Obj(object):
    def method1(self):
        return do_stuff(self)

    def method2(self):
        return do_other_stuff(self)

    def method3(self):
        return do_more_stuff(self)

hansonkd

books = get_book_row_generator_from_csv('mybooks.csv')

formatted_books = (
    conduit(books)
        .map(Book.from_row)
        .filter(lambda book: book.year >= 1950)
        .sort(lambda book: (book.year, book.author_name.lower()))
        .map('{0.title} | {0.author} ({0.year})'.format)
        .to_list()
)

hansonkd

books = get_book_row_generator_from_csv('mybooks.csv')
formatted_books = list(
    map(
        sorted(
            filter(
                map(
                    books,
                    Book.from_row
                ),
                lambda: book.year >= 1950