Source code for apache_beam.testing.benchmarks.nexmark.queries.nexmark_query_util

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"""Utilities for working with NEXmark data stream."""
from __future__ import absolute_import

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

AUCTION_TAG = 'auctions'
BID_TAG = 'bids'
PERSON_TAG = 'person'


class ResultNames:
  SELLER = 'seller'
  PRICE = 'price'
  NAME = 'name'
  CITY = 'city'
  STATE = 'state'
  AUCTION_ID = 'auction_id'
  ID = 'id'
  RESERVE = 'reserve'
  CATEGORY = 'category'
  IS_LAST = 'is_last'
  BIDDER_ID = 'bidder_id'
  BID_COUNT = 'bid_count'
  NUM = 'num'


def is_bid(event):
  return isinstance(event, nexmark_model.Bid)


def is_auction(event):
  return isinstance(event, nexmark_model.Auction)


def is_person(event):
  return isinstance(event, nexmark_model.Person)


def auction_or_bid(event):
  return isinstance(event, (nexmark_model.Auction, nexmark_model.Bid))


class JustBids(beam.PTransform):
  def expand(self, pcoll):
    return pcoll | "IsBid" >> beam.Filter(is_bid)


class JustAuctions(beam.PTransform):
  def expand(self, pcoll):
    return pcoll | "IsAuction" >> beam.Filter(is_auction)


class JustPerson(beam.PTransform):
  def expand(self, pcoll):
    return pcoll | "IsPerson" >> beam.Filter(is_person)


class AuctionByIdFn(beam.DoFn):
  def process(self, element):
    yield element.id, element


class BidByAuctionIdFn(beam.DoFn):
  def process(self, element):
    yield element.auction, element


class PersonByIdFn(beam.DoFn):
  def process(self, element):
    yield element.id, element


class AuctionBySellerFn(beam.DoFn):
  def process(self, element):
    yield element.seller, element