def test_render_jobconf(self): step = MRStep(mapper=identity_mapper, jobconf={"dfs.block.size": "134217728"}) self.assertEqual( step.description(0), {"type": "streaming", "mapper": {"type": "script"}, "jobconf": {"dfs.block.size": "134217728"}}, )
def test_render_jobconf(self): step = MRStep(mapper=identity_mapper, jobconf={'dfs.block.size': '134217728'}) self.assertEqual( step.description(0), { 'type': 'streaming', 'mapper': { 'type': 'script', }, 'jobconf': { 'dfs.block.size': '134217728', } })
def steps(self): return [ MRStep(mapper=self.extractIpAndDate, reducer=self.countVisitPerDay), MRStep(reducer=self.topTen) ]
def steps(self): return [MRStep(mapper_init=self.mapper_hash, mapper=self.mapper_in)]
def steps(self): return [MRStep(mapper_init=self.mapper_join_init, mapper=self.mapper)]
def steps(self): return [MRStep(mapper=self.mapper, reducer=self.reducer)]
def steps(self): return [ MRStep(mapper=self.mapper_flights), MRStep(reducer=self.reducer1) ]
def steps(self): return [ MRStep(mapper=self.mapper_1, reducer=self.reducer_1), MRStep(reducer=self.reducer_2), MRStep(reducer=self.reducer_3) ]
def steps(self): return [ MRStep(mapper=self.mapper_first, reducer=self.reducer_first), MRStep(reducer=self.reducer_second) ]
def steps(self): return [ MRStep(mapper=self.mapper, reducer=self.reducer), MRStep(mapper=self.mapper_counter, reducer=self.reducer_counter), MRStep(mapper=self.top10_mapper, reducer=self.top10_reducer) ]
def steps(self): return [ MRStep(mapper=self.mapper_get_ratings, reducer=self.reducer_count_ratings) ]
def steps(self): return [ MRStep(mapper=self.mapper_getDST, reducer=self.reducer_listAirports) ]
def steps(self): return [ MRStep(mapper=self.mapper1, reducer=self.combiner), MRStep(reducer=self.reducer1), MRStep(reducer=self.reducer2) ]
def steps(self): return [ MRStep(mapper=self.mapper_count_words, combiner=self.combiner_count_words, reducer=self.reducer_count_words) ]
def steps(self): return [ MRStep(mapper=self.mapper_parse_input, reducer=self.reducer_ratings_by_user) ]
def steps(self): return [ MRStep(mapper=self.mapper_knn, mapper_final=self.mapper_knn_final, reducer=self.reducer_knn) ]
def steps(self): return [ MRStep(mapper=self.mapper_get_sepW_setosa, reducer=self.reducer_get_avg) ]
def steps(self): return [ MRStep(mapper=self.mapper_get_movies, reducer=self.reducer_count_movies), MRStep(reducer=self.reducer_sort_by_count) ]
def steps(self): return [ MRStep(mapper=self.mapper_get_ratings, reducer=self.reducer_count_ratings), MRStep(reducer=self.reducer_sorted_output) ]
def steps(self): return [ MRStep(mapper=self.mapper, reducer=self.reducer_find_the), MRStep(reducer=self.reducer_count_the) ]
def steps(self): return [MRStep(mapper=self.lineMapper, reducer=self.ageReducer)]
def steps(self): return [ MRStep(mapper=self.mapper, reducer=self.reducer), MRStep(reducer=self.second_reducer) ]
def steps(self): return [ MRStep(mapper=self.tf_mapper, reducer=self.tf_reducer), MRStep(reducer=self.reducido) ]
def steps(self): return [ MRStep(mapper=self.mapper, reducer=self.reducer), MRStep(reducer=self.reducer_final) ]
def steps(self): return ([ MRStep(mapper=self.mapper, combiner=self.combiner, reducer=self.reducer) ] * 3)
def steps(self): return [ MRStep(mapper=self.mapper_movie_count, reducer=self.reducer_none_count_movie), MRStep(reducer=self.reducer_popular_movie) ]
def steps(self): return [ MRStep(mapper=self.mapper_cw, reducer=self.reducer_cw), MRStep(reducer=self.reducer_ctf) ]
def steps(self): return [ MRStep(mapper=self.build) ]
def steps(self): N = int(self.options.N) return [MRStep(mapper=self.mapper_1)] + \ [MRStep(reducer=self.reducer_1)]*N + \ [MRStep(reducer=self.reducer_2)]
def steps(self): return [ MRStep(mapper=self.mapper, reducer=self.sum_words), MRStep(reducer=self.reducer) ]
def steps(self): return [MRStep(mapper=self.mapper)] * self.options.times
def steps(self): return [ MRStep(mapper=self.mapper, reducer=self.reducer), # MRStep(reducer=self.identity_reducer) ]