engines.append(select) counties_grouper = Group(select.output(), {'oid': lambda a, b: a == b}) engines.append(counties_grouper) joiner = Join(counties_grouper.output(), geonames_aggregate.output()) engines.append(joiner) mux_streams.append(joiner.output()) # mux_streams.append(counties_select.output()) mux = Mux(*mux_streams) engines.append(mux) result_stack = ResultFile( 'results.txt', mux.output(), ) engines.append(result_stack) #result_stack = ResultStack( # mux.output(), #) #engines.append(result_stack) info_queue = Queue() def manage(task): task.run() # print 'Task %s: completed' % (task.name) info_queue.put((task, ThreadInfo()))
states_counties_grouper = Group(select.output(), { 'states.oid': lambda a, b: a == b, 'counties.oid': lambda a, b: a == b }) engines.append(states_counties_grouper) joiner = Join(states_counties_grouper.output(), geonames_aggregate.output()) engines.append(joiner) mux_streams.append(joiner.output()) mux = Mux(*mux_streams) engines.append(mux) states_level_select = Select( mux.output(), UniversalSelect( mux.output().schema(), { 'states.oid': { 'type': int, 'args': ['states.oid'], 'function': lambda v: v, }, 'count': { 'type': int, 'args': ['count'], 'function': lambda v: v, } })) engines.append(states_level_select)
'species.id': lambda a, b: a == b }) engines.append(family_genus_species_id_grouper) # mux_streams.append(family_genus_species_id_grouper.output()) species_plants_joiner = Join(family_genus_species_id_grouper.output(), plants_height_aggregate.output()) engines.append(species_plants_joiner) mux_streams.append(species_plants_joiner.output()) mux = Mux(*mux_streams) engines.append(mux) # First aggregation level output selection family_genus_species_select = Select( mux.output(), UniversalSelect(mux.output().schema(), [ ('family.id', { 'type': int, 'args': ['family.id'], 'function': lambda v: v }), ('genus.id', { 'type': int, 'args': ['genus.id'], 'function': lambda v: v }), ('species.id', { 'type': int, 'args': ['species.id'], 'function': lambda v: v
channel, UniversalSelect(channel.schema(), {"oid": {"type": int, "args": ["oid"], "function": lambda v: v}}) ) engines.append(select) counties_grouper = Group(select.output(), {"oid": lambda a, b: a == b}) engines.append(counties_grouper) joiner = Join(counties_grouper.output(), geonames_aggregate.output()) engines.append(joiner) mux_streams.append(joiner.output()) # mux_streams.append(counties_select.output()) mux = Mux(*mux_streams) engines.append(mux) result_stack = ResultFile("results.txt", mux.output()) engines.append(result_stack) # result_stack = ResultStack( # mux.output(), # ) # engines.append(result_stack) info_queue = Queue() def manage(task): task.run() # print 'Task %s: completed' % (task.name) info_queue.put((task, ThreadInfo())) # print 'Task %s: info-queued.' % (task.name)
SumAggregator(cover_area.output().schema(), 'area') ) engines.append(cover_aggregate) mux_streams.append(cover_aggregate.output()) mux = Mux(*mux_streams) engines.append(mux) ############################################################# # # 2nd level aggregation # ############################################################# counties_level_select = Select( mux.output(), UniversalSelect( mux.output().schema(), [ ('states.oid', { 'type': int, 'args': ['states.oid'], 'function': lambda v: v, }), ('counties.oid', { 'type': int, 'args': ['counties.oid'], 'function': lambda v: v, }), ('area', { 'type': float,
selects.append(Select(data_accessor.output(), name_age_combiner)) data_accessors.append(data_accessor) mux = Mux(*[s.output() for s in selects]) #name_age_combiner_reverse = NameAgeCombinerReverse(demux.schema()) #select2 = Select(demux, name_age_combiner_reverse) #name_age_combiner = NameAgeCombiner(data_accessor.output().schema()) #select = Select(data_accessor.output(), name_age_combiner) #name_age_combiner_reverse = NameAgeCombinerReverse(data_accessor.output().schema()) #select2 = Select(data_accessor.output(), name_age_combiner_reverse) result_stack = ResultStack( # query_streamer.output(), mux.output(), # data_accessor.output(), ) info_queue = Queue() def manage(task): print 'Running: ' + str(task) task.run() info_queue.put(ThreadInfo()) tasks = [] tasks += [('Select', s) for s in selects] tasks += [('Data Accessor', da) for da in data_accessors]