Source code for apache_beam.testing.benchmarks.nexmark.nexmark_util

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"""Utilities for the Nexmark suite.

The Nexmark suite is a series of queries (streaming pipelines) performed
on a simulation of auction events. This util includes:

  - A Command class used to terminate the streaming jobs
    launched in nexmark_launcher.py by the DirectRunner.
  - A ParseEventFn DoFn to parse events received from PubSub.

Usage:

To run a process for a certain duration, define in the code:
  command = Command(process_to_terminate, args)
  command.run(timeout=duration)

"""

# pytype: skip-file

from __future__ import absolute_import
from __future__ import print_function

import logging
import threading

import apache_beam as beam
from apache_beam.testing.benchmarks.nexmark.models import nexmark_model

_LOGGER = logging.getLogger(__name__)


[docs]class Command(object): def __init__(self, cmd, args): self.cmd = cmd self.args = args
[docs] def run(self, timeout): def thread_target(): logging.debug( 'Starting thread for %d seconds: %s', timeout, self.cmd.__name__) self.cmd(*self.args) _LOGGER.info( '%d seconds elapsed. Thread (%s) finished.', timeout, self.cmd.__name__) thread = threading.Thread(target=thread_target, name='Thread-timeout') thread.daemon = True thread.start() thread.join(timeout)
[docs]class ParseEventFn(beam.DoFn): """Parses the raw event info into a Python objects. Each event line has the following format: person: <id starting with 'p'>,name,email,credit_card,city, \ state,timestamp,extra auction: <id starting with 'a'>,item_name, description,initial_bid, \ reserve_price,timestamp,expires,seller,category,extra bid: <auction starting with 'b'>,bidder,price,timestamp,extra For example: 'p12345,maria,maria@maria.com,1234-5678-9012-3456, \ sunnyvale,CA,1528098831536' 'a12345,car67,2012 hyundai elantra,15000,20000, \ 1528098831536,20180630,maria,vehicle' 'b12345,maria,20000,1528098831536' """
[docs] def process(self, elem): model_dict = { 'p': nexmark_model.Person, 'a': nexmark_model.Auction, 'b': nexmark_model.Bid, } row = elem.split(',') model = model_dict.get(elem[0]) if not model: raise ValueError('Invalid event: %s.' % row) event = model(*row) logging.debug('Parsed event: %s', event) yield event
[docs]def display(elm): logging.debug(elm) return elm