def sample(self, fraction, seed=None, output=None, options: dict = None): if options is None: options = {} er_fraction = ErFunctor(name=RollPair.REDUCE, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(fraction)) er_seed = ErFunctor(name=RollPair.REDUCE, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(seed)) outputs = [] if output: outputs.append(output) job = ErJob(id=generate_job_id(self.__session_id, RollPair.SAMPLE), name=RollPair.SAMPLE, inputs=[self.__store], outputs=outputs, functors=[er_fraction, er_seed]) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx)
def aggregate(self, zero_value, seq_op, comb_op, output=None, options: dict = None): total_partitions = self.__store._store_locator._total_partitions job_id = generate_job_id(self.__session_id, tag=RollPair.AGGREGATE) serialized_zero_value = ErFunctor(name=RollPair.AGGREGATE, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(zero_value)) serialized_seq_op = ErFunctor(name=RollPair.AGGREGATE, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(seq_op)) job = ErJob(id=job_id, name=RollPair.AGGREGATE, inputs=[self.ctx.populate_processor(self.__store)], functors=[serialized_zero_value, serialized_seq_op]) args = list() for i in range(total_partitions): partition_input = job._inputs[0]._partitions[i] task = ErTask(id=generate_task_id(job_id, i), name=job._name, inputs=[partition_input], job=job) args.append(([task], partition_input._processor._command_endpoint)) futures = self.__command_client.async_call( args=args, output_types=[ErPair], command_uri=CommandURI( f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}')) done = wait(futures, return_when=FIRST_EXCEPTION).done result = None first = True for future in done: pair = future.result()[0] seq_op_result = self.functor_serdes.deserialize(pair._value) if not first: result = comb_op(result, seq_op_result) else: result = seq_op_result first = False return result
def collapse_partitions(self, func, output=None, options: dict = None): if options is None: options = {} functor = ErFunctor(name=RollPair.COLLAPSE_PARTITIONS, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func)) outputs = [] if output: outputs.append(output) job = ErJob(id=generate_job_id(self.__session_id, RollPair.COLLAPSE_PARTITIONS), name=RollPair.COLLAPSE_PARTITIONS, inputs=[self.__store], outputs=outputs, functors=[functor]) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx)
def map_values(self, func, output=None, options: dict = None): if options is None: options = {} functor = ErFunctor(name=RollPair.MAP_VALUES, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func)) outputs = [] if output: outputs.append(output) # todo:1: options issues. refer to line 77 final_options = {} final_options.update(self.__store._options) final_options.update(options) job = ErJob(id=generate_job_id(self.__session_id, RollPair.MAP_VALUES), name=RollPair.MAP_VALUES, inputs=[self.__store], outputs=outputs, functors=[functor], options=final_options) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx)
def test_reduce(self): def concat(a, b): return a + b pickled_function = cloudpickle.dumps(concat) store_locator = ErStoreLocator(store_type="levelDb", namespace="ns", name='name') job = ErJob(id="1", name="reduce", inputs=[ErStore(store_locator=store_locator)], functors=[ErFunctor(name="reduce", body=pickled_function)]) channel = grpc.insecure_channel( target='localhost:20000', options=[('grpc.max_send_message_length', -1), ('grpc.max_receive_message_length', -1)]) roll_pair_stub = command_pb2_grpc.CommandServiceStub(channel) request = ErCommandRequest( seq=1, uri='com.webank.eggroll.rollpair.component.RollPair.reduce', args=[job.to_proto().SerializeToString()]) result = roll_pair_stub.call(request.to_proto()) time.sleep(1200)
def test_scalar_mul_raw(self): def scalar_mul(v): pub_key, private_key = rpt_engine.keygen() return rpt_engine.slcmul(rpt_engine.load(v, 1, 1, 1), 2.0, pub_key, private_key) pickled_function = cloudpickle.dumps(scalar_mul) store_locator = ErStoreLocator(store_type="levelDb", namespace="ns", name='mat_a') functor = ErFunctor(name="mapValues", body=pickled_function) job = ErJob(id="1", name="mapValues", inputs=[ErStore(store_locator=store_locator)], functors=[functor]) channel = grpc.insecure_channel( target='localhost:20000', options=[('grpc.max_send_message_length', -1), ('grpc.max_receive_message_length', -1)]) roll_pair_stub = command_pb2_grpc.CommandServiceStub(channel) request = ErCommandRequest( seq=1, uri='com.webank.eggroll.rollpair.component.RollPair.mapValues', args=[job.to_proto().SerializeToString()]) # print(f"ready to call") result = roll_pair_stub.call(request.to_proto()) time.sleep(1200)
def with_stores(self, func, others=None, options: dict = None): if options is None: options = {} tag = "withStores" if others is None: others = [] total_partitions = self.get_partitions() for other in others: if other.get_partitions() != total_partitions: raise ValueError( f"diff partitions: expected:{total_partitions}, actual:{other.get_partitions()}" ) job_id = generate_job_id(self.__session_id, tag=tag) job = ErJob(id=job_id, name=tag, inputs=[ self.ctx.populate_processor(rp.get_store()) for rp in [self] + others ], functors=[ ErFunctor(name=tag, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func)) ], options=options) args = list() for i in range(total_partitions): partition_self = job._inputs[0]._partitions[i] task = ErTask( id=generate_task_id(job_id, i), name=job._name, inputs=[store._partitions[i] for store in job._inputs], job=job) args.append(([task], partition_self._processor._command_endpoint)) futures = self.__command_client.async_call( args=args, output_types=[ErPair], command_uri=CommandURI( f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}')) result = list() for future in futures: ret_pair = future.result()[0] result.append((self.functor_serdes.deserialize(ret_pair._key), self.functor_serdes.deserialize(ret_pair._value))) return result
def get(self, k, options: dict = None): if options is None: options = {} L.debug(f"get k: {k}") k = create_serdes(self.__store._store_locator._serdes).serialize(k) er_pair = ErPair(key=k, value=None) outputs = [] value = None partition_id = self.partitioner(k) egg = self.ctx.route_to_egg(self.__store._partitions[partition_id]) L.info( f"partitions count: {self.__store._store_locator._total_partitions}, target partition: {partition_id}, endpoint: {egg._command_endpoint}" ) inputs = [ ErPartition(id=partition_id, store_locator=self.__store._store_locator) ] output = [ ErPartition(id=partition_id, store_locator=self.__store._store_locator) ] job_id = generate_job_id(self.__session_id, RollPair.GET) job = ErJob(id=job_id, name=RollPair.GET, inputs=[self.__store], outputs=outputs, functors=[ErFunctor(body=cloudpickle.dumps(er_pair))]) task = ErTask(id=generate_task_id(job_id, partition_id), name=RollPair.GET, inputs=inputs, outputs=output, job=job) job_resp = self.__command_client.simple_sync_send( input=task, output_type=ErPair, endpoint=egg._command_endpoint, command_uri=CommandURI( f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}'), serdes_type=self.__command_serdes) return self.value_serdes.deserialize( job_resp._value) if job_resp._value != b'' else None
def delete(self, k, options: dict = None): if options is None: options = {} key = create_serdes(self.__store._store_locator._serdes).serialize(k) er_pair = ErPair(key=key, value=None) outputs = [] value = None partition_id = self.partitioner(key) egg = self.ctx.route_to_egg(self.__store._partitions[partition_id]) L.info(egg._command_endpoint) L.info(f"count: {self.__store._store_locator._total_partitions}") inputs = [ ErPartition(id=partition_id, store_locator=self.__store._store_locator) ] output = [ ErPartition(id=partition_id, store_locator=self.__store._store_locator) ] job_id = generate_job_id(self.__session_id, RollPair.DELETE) job = ErJob(id=job_id, name=RollPair.DELETE, inputs=[self.__store], outputs=outputs, functors=[ErFunctor(body=cloudpickle.dumps(er_pair))]) task = ErTask(id=generate_task_id(job_id, partition_id), name=RollPair.DELETE, inputs=inputs, outputs=output, job=job) L.info("start send req") job_resp = self.__command_client.simple_sync_send( input=task, output_type=ErPair, endpoint=egg._command_endpoint, command_uri=CommandURI( f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}'), serdes_type=self.__command_serdes)
def put(self, k, v, options: dict = None): if options is None: options = {} k, v = create_serdes(self.__store._store_locator._serdes).serialize(k), \ create_serdes(self.__store._store_locator._serdes).serialize(v) er_pair = ErPair(key=k, value=v) outputs = [] partition_id = self.partitioner(k) egg = self.ctx.route_to_egg(self.__store._partitions[partition_id]) inputs = [ ErPartition(id=partition_id, store_locator=self.__store._store_locator) ] output = [ErPartition(id=0, store_locator=self.__store._store_locator)] job_id = generate_job_id(self.__session_id, RollPair.PUT) job = ErJob(id=job_id, name=RollPair.PUT, inputs=[self.__store], outputs=outputs, functors=[ErFunctor(body=cloudpickle.dumps(er_pair))]) task = ErTask(id=generate_task_id(job_id, partition_id), name=RollPair.PUT, inputs=inputs, outputs=output, job=job) L.info("start send req") job_resp = self.__command_client.simple_sync_send( input=task, output_type=ErPair, endpoint=egg._command_endpoint, command_uri=CommandURI( f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}'), serdes_type=self.__command_serdes) L.info("get resp:{}".format((job_resp._value))) value = job_resp._value return value
class RollPair(object): ROLL_PAIR_URI_PREFIX = 'v1/roll-pair' EGG_PAIR_URI_PREFIX = 'v1/egg-pair' RUN_JOB = 'runJob' RUN_TASK = 'runTask' AGGREGATE = 'aggregate' COLLAPSE_PARTITIONS = 'collapsePartitions' CLEANUP = 'cleanup' COUNT = 'count' DELETE = "delete" DESTROY = "destroy" FILTER = 'filter' FLAT_MAP = 'flatMap' GET = "get" GET_ALL = "getAll" GLOM = 'glom' JOIN = 'join' MAP = 'map' MAP_PARTITIONS = 'mapPartitions' MAP_VALUES = 'mapValues' PUT = "put" PUT_ALL = "putAll" REDUCE = 'reduce' SAMPLE = 'sample' SUBTRACT_BY_KEY = 'subtractByKey' UNION = 'union' SERIALIZED_NONE = cloudpickle.dumps(None) def __setstate__(self, state): self.gc_enable = None pass def __getstate__(self): pass def __init__(self, er_store: ErStore, rp_ctx: RollPairContext): if not rp_ctx: raise ValueError('rp_ctx cannot be None') self.__store = er_store self.ctx = rp_ctx self.__command_serdes = SerdesTypes.PROTOBUF self.__roll_pair_master = self.ctx.get_roll() self.__command_client = CommandClient() self.functor_serdes = create_serdes(SerdesTypes.CLOUD_PICKLE) self.value_serdes = self.get_store_serdes() self.key_serdes = self.get_store_serdes() self.partitioner = partitioner( hash_code, self.__store._store_locator._total_partitions) self.egg_router = default_egg_router self.__session_id = self.ctx.session_id self.gc_enable = rp_ctx.rpc_gc_enable self.gc_recorder = rp_ctx.gc_recorder self.gc_recorder.record(er_store) self.destroyed = False def __del__(self): if "EGGROLL_GC_DISABLE" in os.environ and os.environ[ "EGGROLL_GC_DISABLE"] == '1': L.debug("global RollPair gc is disable") return if not hasattr(self, 'gc_enable') \ or not hasattr(self, 'ctx'): return if not self.gc_enable: L.info('session:{} gc not enable'.format(self.__session_id)) return if self.destroyed: return if self.ctx.get_session().is_stopped(): L.debug('session:{} has already been stopped'.format( self.__session_id)) return L.debug(f"del obj addr:{self} calling") self.ctx.gc_recorder.decrease_ref_count(self.__store) def __repr__(self): return f'<RollPair(_store={self.__store}) at {hex(id(self))}>' def __repartition_with(self, other): self_partition = self.get_partitions() other_partition = other.get_partitions() if other_partition != self_partition: self_name = self.get_name() self_count = self.count() other_name = other.get_name() other_count = other.count() L.info( f"repartition start: partitions of rp: {self_name}: {self_partition}, " f"other: {other_name}: {other_partition}, repartitioning") if self_count <= other_count: shuffle_rp = self shuffle_rp_count = self_count shuffle_rp_name = self_name shuffle_rp_partition = self_partition not_shuffle_rp = other not_shuffle_rp_count = other_count not_shuffle_rp_name = other_name not_shuffle_rp_partition = other_partition else: not_shuffle_rp = self not_shuffle_rp_count = self_count not_shuffle_rp_name = self_name not_shuffle_rp_partition = self_partition shuffle_rp = other shuffle_rp_count = other_count shuffle_rp_name = other_name shuffle_rp_partition = other_partition L.debug( f"repatition selection: rp: {shuffle_rp_name} count:{shuffle_rp_count} " f"<= rp: {not_shuffle_rp_name} count:{not_shuffle_rp_count}. " f"repartitioning {shuffle_rp_name}") store = ErStore(store_locator=ErStoreLocator( store_type=shuffle_rp.get_store_type(), namespace=shuffle_rp.get_namespace(), name=str(uuid.uuid1()), total_partitions=not_shuffle_rp_partition)) res_rp = shuffle_rp.map(lambda k, v: (k, v), output=store) res_rp.disable_gc() L.debug( f"repartition end: rp to shuffle: {shuffle_rp_name}, " f"count: {shuffle_rp_count}, partitions: {shuffle_rp_partition}; " f"rp NOT shuffle: {not_shuffle_rp_name}, " f"count: {not_shuffle_rp_count}, partitions: {not_shuffle_rp_partition}' " f"res rp: {res_rp.get_name()}, " f"count: {res_rp.count()}, partitions :{res_rp.get_partitions()}" ) store_shuffle = res_rp.get_store() return [store_shuffle, other.get_store()] if self_count <= other_count \ else [self.get_store(), store_shuffle] else: return [self.__store, other.__store] def enable_gc(self): self.gc_enable = True def disable_gc(self): self.gc_enable = False def get_store_serdes(self): return create_serdes(self.__store._store_locator._serdes) def get_partitions(self): return self.__store._store_locator._total_partitions def get_name(self): return self.__store._store_locator._name def get_namespace(self): return self.__store._store_locator._namespace def get_store(self): return self.__store def get_store_type(self): return self.__store._store_locator._store_type def kv_to_bytes(self, **kwargs): use_serialize = kwargs.get("use_serialize", True) # can not use is None if "k" in kwargs and "v" in kwargs: k, v = kwargs["k"], kwargs["v"] return (self.value_serdes.serialize(k), self.value_serdes.serialize(v)) if use_serialize \ else (string_to_bytes(k), string_to_bytes(v)) elif "k" in kwargs: k = kwargs["k"] return self.value_serdes.serialize( k) if use_serialize else string_to_bytes(k) elif "v" in kwargs: v = kwargs["v"] return self.value_serdes.serialize( v) if use_serialize else string_to_bytes(v) """ storage api """ @_method_profile_logger def get(self, k, options: dict = None): if options is None: options = {} L.debug(f"get k: {k}") k = create_serdes(self.__store._store_locator._serdes).serialize(k) er_pair = ErPair(key=k, value=None) outputs = [] value = None partition_id = self.partitioner(k) egg = self.ctx.route_to_egg(self.__store._partitions[partition_id]) L.info( f"partitions count: {self.__store._store_locator._total_partitions}, target partition: {partition_id}, endpoint: {egg._command_endpoint}" ) inputs = [ ErPartition(id=partition_id, store_locator=self.__store._store_locator) ] output = [ ErPartition(id=partition_id, store_locator=self.__store._store_locator) ] job_id = generate_job_id(self.__session_id, RollPair.GET) job = ErJob(id=job_id, name=RollPair.GET, inputs=[self.__store], outputs=outputs, functors=[ErFunctor(body=cloudpickle.dumps(er_pair))]) task = ErTask(id=generate_task_id(job_id, partition_id), name=RollPair.GET, inputs=inputs, outputs=output, job=job) job_resp = self.__command_client.simple_sync_send( input=task, output_type=ErPair, endpoint=egg._command_endpoint, command_uri=CommandURI( f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}'), serdes_type=self.__command_serdes) return self.value_serdes.deserialize( job_resp._value) if job_resp._value != b'' else None @_method_profile_logger def put(self, k, v, options: dict = None): if options is None: options = {} k, v = create_serdes(self.__store._store_locator._serdes).serialize(k), \ create_serdes(self.__store._store_locator._serdes).serialize(v) er_pair = ErPair(key=k, value=v) outputs = [] partition_id = self.partitioner(k) egg = self.ctx.route_to_egg(self.__store._partitions[partition_id]) inputs = [ ErPartition(id=partition_id, store_locator=self.__store._store_locator) ] output = [ErPartition(id=0, store_locator=self.__store._store_locator)] job_id = generate_job_id(self.__session_id, RollPair.PUT) job = ErJob(id=job_id, name=RollPair.PUT, inputs=[self.__store], outputs=outputs, functors=[ErFunctor(body=cloudpickle.dumps(er_pair))]) task = ErTask(id=generate_task_id(job_id, partition_id), name=RollPair.PUT, inputs=inputs, outputs=output, job=job) L.info("start send req") job_resp = self.__command_client.simple_sync_send( input=task, output_type=ErPair, endpoint=egg._command_endpoint, command_uri=CommandURI( f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}'), serdes_type=self.__command_serdes) L.info("get resp:{}".format((job_resp._value))) value = job_resp._value return value @_method_profile_logger def get_all(self, options: dict = None): if options is None: options = {} L.info('get all functor') job_id = generate_job_id(self.__session_id, RollPair.GET_ALL) def send_command(): job = ErJob(id=job_id, name=RollPair.GET_ALL, inputs=[self.__store], outputs=[self.__store], functors=[]) result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=SerdesTypes.PROTOBUF) return result send_command() populated_store = self.ctx.populate_processor(self.__store) transfer_pair = TransferPair(transfer_id=job_id) done_cnt = 0 for k, v in transfer_pair.gather(populated_store): done_cnt += 1 yield self.key_serdes.deserialize( k), self.value_serdes.deserialize(v) L.debug(f"get_all count:{done_cnt}") @_method_profile_logger def put_all(self, items, output=None, options: dict = None): if options is None: options = {} include_key = options.get("include_key", True) job_id = generate_job_id(self.__session_id, RollPair.PUT_ALL) # TODO:1: consider multiprocessing scenario. parallel size should be sent to egg_pair to set write signal count def send_command(): job = ErJob(id=job_id, name=RollPair.PUT_ALL, inputs=[self.__store], outputs=[self.__store], functors=[]) result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=SerdesTypes.PROTOBUF) return result th = Thread(target=send_command, name=f'roll_pair-send_command-{job_id}') th.start() populated_store = self.ctx.populate_processor(self.__store) shuffler = TransferPair(job_id) broker = FifoBroker() bb = BatchBroker(broker) scatter_future = shuffler.scatter(broker, self.partitioner, populated_store) key_serdes = self.key_serdes value_serdes = self.value_serdes try: if include_key: for k, v in items: bb.put(item=(key_serdes.serialize(k), value_serdes.serialize(v))) else: k = 0 for v in items: bb.put(item=(key_serdes.serialize(k), value_serdes.serialize(v))) k += 1 finally: bb.signal_write_finish() scatter_results = scatter_future.result() L.debug(f"scatter_results: {scatter_results}") th.join() return RollPair(populated_store, self.ctx) @_method_profile_logger def count(self): total_partitions = self.__store._store_locator._total_partitions job_id = generate_job_id(self.__session_id, tag=RollPair.COUNT) job = ErJob(id=job_id, name=RollPair.COUNT, inputs=[self.ctx.populate_processor(self.__store)]) args = list() for i in range(total_partitions): partition_input = job._inputs[0]._partitions[i] task = ErTask(id=generate_task_id(job_id, i), name=job._name, inputs=[partition_input], job=job) args.append(([task], partition_input._processor._command_endpoint)) futures = self.__command_client.async_call( args=args, output_types=[ErPair], command_uri=CommandURI( f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}')) done = wait(futures, return_when=FIRST_EXCEPTION).done result = 0 for future in done: pair = future.result()[0] result += self.functor_serdes.deserialize(pair._value) return result # todo:1: move to command channel to utilize batch command @_method_profile_logger def destroy(self): if len(self.ctx.get_session()._cluster_manager_client.get_store( self.get_store())._partitions) == 0: L.info(f"store:{self.get_store()} has been destroyed before") raise ValueError( f"store:{self.get_store()} has been destroyed before") total_partitions = self.__store._store_locator._total_partitions job = ErJob(id=generate_job_id(self.__session_id, RollPair.DESTROY), name=RollPair.DESTROY, inputs=[self.__store], outputs=[self.__store], functors=[]) job_resp = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) self.ctx.get_session()._cluster_manager_client.delete_store( self.__store) L.info(f'{RollPair.DESTROY}: {self.__store}') self.destroyed = True @_method_profile_logger def delete(self, k, options: dict = None): if options is None: options = {} key = create_serdes(self.__store._store_locator._serdes).serialize(k) er_pair = ErPair(key=key, value=None) outputs = [] value = None partition_id = self.partitioner(key) egg = self.ctx.route_to_egg(self.__store._partitions[partition_id]) L.info(egg._command_endpoint) L.info(f"count: {self.__store._store_locator._total_partitions}") inputs = [ ErPartition(id=partition_id, store_locator=self.__store._store_locator) ] output = [ ErPartition(id=partition_id, store_locator=self.__store._store_locator) ] job_id = generate_job_id(self.__session_id, RollPair.DELETE) job = ErJob(id=job_id, name=RollPair.DELETE, inputs=[self.__store], outputs=outputs, functors=[ErFunctor(body=cloudpickle.dumps(er_pair))]) task = ErTask(id=generate_task_id(job_id, partition_id), name=RollPair.DELETE, inputs=inputs, outputs=output, job=job) L.info("start send req") job_resp = self.__command_client.simple_sync_send( input=task, output_type=ErPair, endpoint=egg._command_endpoint, command_uri=CommandURI( f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}'), serdes_type=self.__command_serdes) @_method_profile_logger def take(self, n: int, options: dict = None): if options is None: options = {} if n <= 0: n = 1 keys_only = options.get("keys_only", False) ret = [] count = 0 for item in self.get_all(): if keys_only: if item: ret.append(item[0]) else: ret.append(None) else: ret.append(item) count += 1 if count == n: break return ret @_method_profile_logger def first(self, options: dict = None): if options is None: options = {} resp = self.take(1, options=options) if resp: return resp[0] else: return None @_method_profile_logger def save_as(self, name, namespace, partition, options: dict = None): if partition <= 0: raise ValueError('partition cannot <= 0') if options is None: options = {} store_type = options.get('store_type', self.ctx.default_store_type) if partition == self.get_partitions(): store = ErStore(store_locator=ErStoreLocator( store_type=store_type, namespace=namespace, name=name, total_partitions=self.get_partitions())) return self.map_values(lambda v: v, output=store) else: store = ErStore( store_locator=ErStoreLocator(store_type=store_type, namespace=namespace, name=name, total_partitions=partition)) return self.map(lambda k, v: (k, v), output=store) """ computing api """ @_method_profile_logger def map_values(self, func, output=None, options: dict = None): if options is None: options = {} functor = ErFunctor(name=RollPair.MAP_VALUES, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func)) outputs = [] if output: outputs.append(output) # todo:1: options issues. refer to line 77 final_options = {} final_options.update(self.__store._options) final_options.update(options) job = ErJob(id=generate_job_id(self.__session_id, RollPair.MAP_VALUES), name=RollPair.MAP_VALUES, inputs=[self.__store], outputs=outputs, functors=[functor], options=final_options) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx) @_method_profile_logger def map(self, func, output=None, options: dict = None): if options is None: options = {} functor = ErFunctor(name=RollPair.MAP, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func)) outputs = [] if output: outputs.append(output) job = ErJob(id=generate_job_id(self.__session_id, RollPair.MAP), name=RollPair.MAP, inputs=[self.__store], outputs=outputs, functors=[functor]) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx) @_method_profile_logger def map_partitions(self, func, output=None, options: dict = None): if options is None: options = {} functor = ErFunctor(name=RollPair.MAP_PARTITIONS, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func)) outputs = [] if output: outputs.append(output) job = ErJob(id=generate_job_id(self.__session_id, RollPair.MAP_PARTITIONS), name=RollPair.MAP_PARTITIONS, inputs=[self.__store], outputs=outputs, functors=[functor]) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx) @_method_profile_logger def collapse_partitions(self, func, output=None, options: dict = None): if options is None: options = {} functor = ErFunctor(name=RollPair.COLLAPSE_PARTITIONS, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func)) outputs = [] if output: outputs.append(output) job = ErJob(id=generate_job_id(self.__session_id, RollPair.COLLAPSE_PARTITIONS), name=RollPair.COLLAPSE_PARTITIONS, inputs=[self.__store], outputs=outputs, functors=[functor]) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx) @_method_profile_logger def flat_map(self, func, output=None, options: dict = None): if options is None: options = {} functor = ErFunctor(name=RollPair.FLAT_MAP, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func)) outputs = [] if output: outputs.append(output) job = ErJob(id=generate_job_id(self.__session_id, RollPair.FLAT_MAP), name=RollPair.FLAT_MAP, inputs=[self.__store], outputs=outputs, functors=[functor]) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx) @_method_profile_logger def reduce(self, func, output=None, options: dict = None): total_partitions = self.__store._store_locator._total_partitions job_id = generate_job_id(self.__session_id, tag=RollPair.REDUCE) serialized_func = ErFunctor(name=RollPair.REDUCE, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func)) job = ErJob(id=job_id, name=RollPair.REDUCE, inputs=[self.ctx.populate_processor(self.__store)], functors=[serialized_func]) args = list() for i in range(total_partitions): partition_input = job._inputs[0]._partitions[i] task = ErTask(id=generate_task_id(job_id, i), name=job._name, inputs=[partition_input], job=job) args.append(([task], partition_input._processor._command_endpoint)) futures = self.__command_client.async_call( args=args, output_types=[ErPair], command_uri=CommandURI( f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}')) done = wait(futures, return_when=FIRST_EXCEPTION).done result = None first = True for future in done: pair = future.result()[0] seq_op_result = self.functor_serdes.deserialize(pair._value) if seq_op_result is not None: if not first: result = func(result, seq_op_result) else: result = seq_op_result first = False return result @_method_profile_logger def aggregate(self, zero_value, seq_op, comb_op, output=None, options: dict = None): total_partitions = self.__store._store_locator._total_partitions job_id = generate_job_id(self.__session_id, tag=RollPair.AGGREGATE) serialized_zero_value = ErFunctor(name=RollPair.AGGREGATE, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(zero_value)) serialized_seq_op = ErFunctor(name=RollPair.AGGREGATE, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(seq_op)) job = ErJob(id=job_id, name=RollPair.AGGREGATE, inputs=[self.ctx.populate_processor(self.__store)], functors=[serialized_zero_value, serialized_seq_op]) args = list() for i in range(total_partitions): partition_input = job._inputs[0]._partitions[i] task = ErTask(id=generate_task_id(job_id, i), name=job._name, inputs=[partition_input], job=job) args.append(([task], partition_input._processor._command_endpoint)) futures = self.__command_client.async_call( args=args, output_types=[ErPair], command_uri=CommandURI( f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}')) done = wait(futures, return_when=FIRST_EXCEPTION).done result = None first = True for future in done: pair = future.result()[0] seq_op_result = self.functor_serdes.deserialize(pair._value) if not first: result = comb_op(result, seq_op_result) else: result = seq_op_result first = False return result @_method_profile_logger def glom(self, output=None, options: dict = None): if options is None: options = {} functor = ErFunctor(name=RollPair.GLOM, serdes=SerdesTypes.CLOUD_PICKLE) outputs = [] if output: outputs.append(output) job = ErJob(id=generate_job_id(self.__session_id, RollPair.GLOM), name=RollPair.GLOM, inputs=[self.__store], outputs=outputs, functors=[functor]) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx) @_method_profile_logger def sample(self, fraction, seed=None, output=None, options: dict = None): if options is None: options = {} er_fraction = ErFunctor(name=RollPair.REDUCE, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(fraction)) er_seed = ErFunctor(name=RollPair.REDUCE, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(seed)) outputs = [] if output: outputs.append(output) job = ErJob(id=generate_job_id(self.__session_id, RollPair.SAMPLE), name=RollPair.SAMPLE, inputs=[self.__store], outputs=outputs, functors=[er_fraction, er_seed]) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx) @_method_profile_logger def filter(self, func, output=None, options: dict = None): if options is None: options = {} functor = ErFunctor(name=RollPair.FILTER, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func)) outputs = [] if output: outputs.append(output) job = ErJob(id=generate_job_id(self.__session_id, RollPair.FILTER), name=RollPair.FILTER, inputs=[self.__store], outputs=outputs, functors=[functor]) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx) @_method_profile_logger def subtract_by_key(self, other, output=None, options: dict = None): if options is None: options = {} functor = ErFunctor(name=RollPair.SUBTRACT_BY_KEY, serdes=SerdesTypes.CLOUD_PICKLE) outputs = [] if output: outputs.append(output) job = ErJob(id=generate_job_id(self.__session_id, RollPair.SUBTRACT_BY_KEY), name=RollPair.SUBTRACT_BY_KEY, inputs=self.__repartition_with(other), outputs=outputs, functors=[functor]) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx) @_method_profile_logger def union(self, other, func=lambda v1, v2: v1, output=None, options: dict = None): if options is None: options = {} functor = ErFunctor(name=RollPair.UNION, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func)) outputs = [] if output: outputs.append(output) job = ErJob(id=generate_job_id(self.__session_id, RollPair.UNION), name=RollPair.UNION, inputs=self.__repartition_with(other), outputs=outputs, functors=[functor]) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx) @_method_profile_logger def join(self, other, func, output=None, options: dict = None): if options is None: options = {} functor = ErFunctor(name=RollPair.JOIN, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func)) outputs = [] if output: outputs.append(output) final_options = {} final_options.update(self.__store._options) final_options.update(options) job = ErJob(id=generate_job_id(self.__session_id, RollPair.JOIN), name=RollPair.JOIN, inputs=self.__repartition_with(other), outputs=outputs, functors=[functor], options=final_options) job_result = self.__command_client.simple_sync_send( input=job, output_type=ErJob, endpoint=self.ctx.get_roll()._command_endpoint, command_uri=CommandURI( f'{RollPair.ROLL_PAIR_URI_PREFIX}/{RollPair.RUN_JOB}'), serdes_type=self.__command_serdes) er_store = job_result._outputs[0] return RollPair(er_store, self.ctx) @_method_profile_logger def with_stores(self, func, others=None, options: dict = None): if options is None: options = {} tag = "withStores" if others is None: others = [] total_partitions = self.get_partitions() for other in others: if other.get_partitions() != total_partitions: raise ValueError( f"diff partitions: expected:{total_partitions}, actual:{other.get_partitions()}" ) job_id = generate_job_id(self.__session_id, tag=tag) job = ErJob(id=job_id, name=tag, inputs=[ self.ctx.populate_processor(rp.get_store()) for rp in [self] + others ], functors=[ ErFunctor(name=tag, serdes=SerdesTypes.CLOUD_PICKLE, body=cloudpickle.dumps(func)) ], options=options) args = list() for i in range(total_partitions): partition_self = job._inputs[0]._partitions[i] task = ErTask( id=generate_task_id(job_id, i), name=job._name, inputs=[store._partitions[i] for store in job._inputs], job=job) args.append(([task], partition_self._processor._command_endpoint)) futures = self.__command_client.async_call( args=args, output_types=[ErPair], command_uri=CommandURI( f'{RollPair.EGG_PAIR_URI_PREFIX}/{RollPair.RUN_TASK}')) result = list() for future in futures: ret_pair = future.result()[0] result.append((self.functor_serdes.deserialize(ret_pair._key), self.functor_serdes.deserialize(ret_pair._value))) return result
def serialize(_obj): return cloudpickle.dumps(_obj)