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)
