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(name=RollPair.PUT, body=cloudpickle.dumps(er_pair))])
task = ErTask(id=generate_task_id(job_id, partition_id),
name=RollPair.PUT,
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
)
value = job_resp._value
return value
def aggregate_seq(self, task: ErTask):
functors = task._job._functors
is_reduce = functors[0]._name == 'reduce'
zero_value = None if is_reduce or functors[
0] is None else create_functor(functors[0]._body)
if is_reduce:
seq_op = create_functor(functors[0]._body)
else:
seq_op = create_functor(functors[1]._body)
first = True
seq_op_result = zero_value
input_partition = task._inputs[0]
input_key_serdes = create_serdes(
input_partition._store_locator._serdes)
input_value_serdes = input_key_serdes
with create_adapter(input_partition) as input_adapter, \
input_adapter.iteritems() as input_iter:
for k_bytes, v_bytes in input_iter:
v = input_value_serdes.deserialize(v_bytes)
if is_reduce and first:
seq_op_result = v
first = False
else:
seq_op_result = seq_op(seq_op_result, v)
return seq_op_result
def get(self, k, options: dict = None):
if options is None:
options = {}
k = create_serdes(self.__store._store_locator._serdes).serialize(k)
er_pair = ErPair(key=k, value=None)
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)]
outputs = [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=[self.__store],
functors=[ErFunctor(name=RollPair.GET, body=cloudpickle.dumps(er_pair))])
task = ErTask(id=generate_task_id(job_id, partition_id),
name=RollPair.GET,
inputs=inputs,
outputs=outputs,
job=job)
job_resp = self.__command_client.simple_sync_send(
input=task,
output_type=ErPair,
endpoint=egg._command_endpoint,
command_uri=self.RUN_TASK_URI,
serdes_type=self.__command_serdes
)
return self.value_serdes.deserialize(job_resp._value) if job_resp._value != b'' else None
def get_all(self, limit=None, options: dict = None):
if options is None:
options = {}
if limit is not None and not isinstance(limit, int) and limit <= 0:
raise ValueError(f"limit:{limit} must be positive int")
job_id = generate_job_id(self.__session_id, RollPair.GET_ALL)
er_pair = ErPair(key=create_serdes(self.__store._store_locator._serdes)
.serialize(limit) if limit is not None else None,
value=None)
def send_command():
job = ErJob(id=job_id,
name=RollPair.GET_ALL,
inputs=[self.__store],
outputs=[self.__store],
functors=[ErFunctor(name=RollPair.GET_ALL, body=cloudpickle.dumps(er_pair))])
task_results = self._run_job(job=job)
er_store = self.__get_output_from_result(task_results)
return er_store
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.trace(f"get_all: namespace={self.get_namespace()} name={self.get_name()}, count={done_cnt}")
def do_store(store_partition_inner, is_shuffle_inner, total_writers_inner, reduce_op_inner):
done_cnt = 0
tag = self.__generate_tag(store_partition_inner._id) if is_shuffle_inner else self.__transfer_id
try:
broker = TransferService.get_or_create_broker(tag, write_signals=total_writers_inner)
L.trace(f"do_store start for tag={tag}")
batches = TransferPair.bin_batch_to_pair(b.data for b in broker)
serdes = create_serdes(store_partition_inner._store_locator._serdes)
if reduce_op_inner is not None:
merger = functools.partial(do_merge,
merge_func=reduce_op_inner,
serdes=serdes)
else:
merger = None
with create_adapter(store_partition_inner) as db:
L.trace(f"do_store create_db for tag={tag} for partition={store_partition_inner}")
with db.new_batch() as wb:
for k, v in batches:
if reduce_op_inner is None:
wb.put(k, v)
else:
wb.merge(merger, k, v)
done_cnt += 1
L.trace(f"do_store done for tag={tag} for partition={store_partition_inner}")
except Exception as e:
L.exception(f'Error in do_store for tag={tag}')
raise e
finally:
TransferService.remove_broker(tag)
return done_cnt
def func(partitions):
part_main, part_obf, part_ret = partitions
serder_main = create_serdes(part_main._store_locator._serdes)
serder_obf = create_serdes(part_obf._store_locator._serdes)
serder_ret = create_serdes(part_ret._store_locator._serdes)
with create_adapter(part_main) as db_main, \
create_adapter(part_obf) as db_obf,\
create_adapter(part_ret) as db_ret:
with db_main.iteritems() as rb, db_ret.new_batch() as wb:
for k, v in rb:
mat = serder_main.deserialize(v)
obfs = []
L.debug(f"obf qsize: {db_obf.count()}, {part_obf}")
for i in range(mat._ndarray.size):
obfs.append(serder_obf.deserialize(db_obf.get()))
obfs = np.array(obfs).reshape(mat._ndarray.shape)
wb.put(
k,
serder_ret.serialize(
serder_main.deserialize(v).encrypt(obfs=obfs)))
def _run_binary(self, func, task):
left_key_serdes = create_serdes(task._inputs[0]._store_locator._serdes)
left_value_serdes = create_serdes(
task._inputs[0]._store_locator._serdes)
right_key_serdes = create_serdes(
task._inputs[1]._store_locator._serdes)
right_value_serdes = create_serdes(
task._inputs[1]._store_locator._serdes)
output_key_serdes = create_serdes(
task._outputs[0]._store_locator._serdes)
output_value_serdes = create_serdes(
task._outputs[0]._store_locator._serdes)
if left_key_serdes != output_key_serdes or \
left_value_serdes != output_value_serdes:
raise ValueError(
f"input key-value serdes:{(left_key_serdes, left_value_serdes)}"
f"differ from output key-value serdes:{(output_key_serdes, output_value_serdes)}"
)
with create_adapter(task._inputs[0]) as left_adapter, \
create_adapter(task._inputs[1]) as right_adapter, \
create_adapter(task._outputs[0]) as output_adapter, \
left_adapter.iteritems() as left_iterator, \
right_adapter.iteritems() as right_iterator, \
output_adapter.new_batch() as output_writebatch:
try:
func(left_iterator, left_key_serdes, left_value_serdes,
right_iterator, right_key_serdes, right_value_serdes,
output_writebatch)
except Exception as e:
raise EnvironmentError("exec task:{} error".format(task), e)
def _run_unary(self, func, task, shuffle=False):
key_serdes = create_serdes(task._inputs[0]._store_locator._serdes)
value_serdes = create_serdes(task._inputs[0]._store_locator._serdes)
with create_adapter(task._inputs[0]) as input_db:
L.debug(f"create_store_adatper: {task._inputs[0]}")
with input_db.iteritems() as rb:
L.debug(f"create_store_adatper_iter: {task._inputs[0]}")
from eggroll.roll_pair.transfer_pair import TransferPair, BatchBroker
if shuffle:
total_partitions = task._inputs[
0]._store_locator._total_partitions
output_store = task._job._outputs[0]
shuffle_broker = FifoBroker()
write_bb = BatchBroker(shuffle_broker)
try:
shuffler = TransferPair(transfer_id=task._job._id)
store_future = shuffler.store_broker(
task._outputs[0], True, total_partitions)
scatter_future = shuffler.scatter(
shuffle_broker,
partitioner(hash_func=hash_code,
total_partitions=total_partitions),
output_store)
func(rb, key_serdes, value_serdes, write_bb)
finally:
write_bb.signal_write_finish()
scatter_results = scatter_future.result()
store_result = store_future.result()
L.debug(f"scatter_result:{scatter_results}")
L.debug(f"gather_result:{store_result}")
else:
# TODO: modification may be needed when store options finished
with create_adapter(task._outputs[0],
options=task._job._options
) as db, db.new_batch() as wb:
func(rb, key_serdes, value_serdes, wb)
L.debug(f"close_store_adatper:{task._inputs[0]}")
def func_asyn(partitions):
part1 = partitions[0]
serder1 = create_serdes(part1._store_locator._serdes)
with create_adapter(part1) as db1:
i = 0
while True:
try:
db1.put(serder1.serialize(pub_key.gen_obfuscator()))
except InterruptedError as e:
L.info(
f"finish create asyn obfuscato:{ns}.{name}: {i}")
break
if i % 10000 == 0:
L.debug(f"generating asyn obfuscato:{ns}.{name}: {i}")
i += 1
def __init__(self, er_store: ErStore, rp_ctx: RollPairContext):
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)
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)
value = None
partition_id = self.partitioner(key)
egg = self.ctx.route_to_egg(self.__store._partitions[partition_id])
job_id = generate_job_id(self.__session_id, RollPair.DELETE)
job = ErJob(id=job_id,
name=RollPair.DELETE,
inputs=[self.__store],
outputs=[],
functors=[ErFunctor(name=RollPair.DELETE, body=cloudpickle.dumps(er_pair))])
task_results = self._run_job(job=job, create_output_if_missing=False)
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 __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)
import mmh3
self.partitioner = partitioner(
mmh3.hash, 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 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 _run_unary(self, func, task, shuffle=False, reduce_op=None):
input_store_head = task._job._inputs[0]
output_store_head = task._job._outputs[0]
input_key_serdes = create_serdes(
input_store_head._store_locator._serdes)
input_value_serdes = create_serdes(
input_store_head._store_locator._serdes)
output_key_serdes = create_serdes(
output_store_head._store_locator._serdes)
output_value_serdes = create_serdes(
output_store_head._store_locator._serdes)
if input_key_serdes != output_key_serdes or \
input_value_serdes != output_value_serdes:
raise ValueError(
f"input key-value serdes:{(input_key_serdes, input_value_serdes)}"
f"differ from output key-value serdes:{(output_key_serdes, output_value_serdes)}"
)
if shuffle:
from eggroll.roll_pair.transfer_pair import TransferPair
input_total_partitions = input_store_head._store_locator._total_partitions
output_total_partitions = output_store_head._store_locator._total_partitions
output_store = output_store_head
my_server_node_id = get_static_er_conf().get(
'server_node_id', None)
shuffler = TransferPair(transfer_id=task._job._id)
if not task._outputs or \
(my_server_node_id is not None
and my_server_node_id != task._outputs[0]._processor._server_node_id):
store_future = None
else:
store_future = shuffler.store_broker(
store_partition=task._outputs[0],
is_shuffle=True,
total_writers=input_total_partitions,
reduce_op=reduce_op)
if not task._inputs or \
(my_server_node_id is not None
and my_server_node_id != task._inputs[0]._processor._server_node_id):
scatter_future = None
else:
shuffle_broker = FifoBroker()
write_bb = BatchBroker(shuffle_broker)
try:
scatter_future = shuffler.scatter(
input_broker=shuffle_broker,
partition_function=partitioner(
hash_func=hash_code,
total_partitions=output_total_partitions),
output_store=output_store)
with create_adapter(task._inputs[0]) as input_db, \
input_db.iteritems() as rb:
func(rb, input_key_serdes, input_value_serdes,
write_bb)
finally:
write_bb.signal_write_finish()
if scatter_future:
scatter_results = scatter_future.result()
else:
scatter_results = 'no scatter for this partition'
if store_future:
store_results = store_future.result()
else:
store_results = 'no store for this partition'
else: # no shuffle
with create_adapter(task._inputs[0]) as input_db, \
input_db.iteritems() as rb, \
create_adapter(task._outputs[0], options=task._job._options) as db, \
db.new_batch() as wb:
func(rb, input_key_serdes, input_value_serdes, wb)
L.trace(f"close_store_adatper:{task._inputs[0]}")
def get_store_serdes(self):
return create_serdes(self.__store._store_locator._serdes)
def run_task(self, task: ErTask):
if L.isEnabledFor(logging.TRACE):
L.trace(
f'[RUNTASK] start. task_name={task._name}, inputs={task._inputs}, outputs={task._outputs}, task_id={task._id}'
)
else:
L.debug(
f'[RUNTASK] start. task_name={task._name}, task_id={task._id}')
functors = task._job._functors
result = task
if task._name == 'get':
# TODO:1: move to create_serdes
f = create_functor(functors[0]._body)
with create_adapter(task._inputs[0]) as input_adapter:
L.trace(
f"get: key: {self.functor_serdes.deserialize(f._key)}, path: {input_adapter.path}"
)
value = input_adapter.get(f._key)
result = ErPair(key=f._key, value=value)
elif task._name == 'getAll':
tag = f'{task._id}'
er_pair = create_functor(functors[0]._body)
input_store_head = task._job._inputs[0]
key_serdes = create_serdes(input_store_head._store_locator._serdes)
def generate_broker():
with create_adapter(
task._inputs[0]) as db, db.iteritems() as rb:
limit = None if er_pair._key is None else key_serdes.deserialize(
er_pair._key)
try:
yield from TransferPair.pair_to_bin_batch(rb,
limit=limit)
finally:
TransferService.remove_broker(tag)
TransferService.set_broker(tag, generate_broker())
elif task._name == 'count':
with create_adapter(task._inputs[0]) as input_adapter:
result = ErPair(key=self.functor_serdes.serialize('result'),
value=self.functor_serdes.serialize(
input_adapter.count()))
elif task._name == 'putBatch':
partition = task._outputs[0]
tag = f'{task._id}'
PutBatchTask(tag, partition).run()
elif task._name == 'putAll':
output_partition = task._outputs[0]
tag = f'{task._id}'
L.trace(f'egg_pair putAll: transfer service tag={tag}')
tf = TransferPair(tag)
store_broker_result = tf.store_broker(output_partition,
False).result()
# TODO:2: should wait complete?, command timeout?
elif task._name == 'put':
f = create_functor(functors[0]._body)
with create_adapter(task._inputs[0]) as input_adapter:
value = input_adapter.put(f._key, f._value)
#result = ErPair(key=f._key, value=bytes(value))
elif task._name == 'destroy':
input_store_locator = task._inputs[0]._store_locator
namespace = input_store_locator._namespace
name = input_store_locator._name
store_type = input_store_locator._store_type
L.debug(
f'destroying store_type={store_type}, namespace={namespace}, name={name}'
)
if name == '*':
from eggroll.roll_pair.utils.pair_utils import get_db_path, get_data_dir
target_paths = list()
if store_type == '*':
data_dir = get_data_dir()
store_types = os.listdir(data_dir)
for store_type in store_types:
target_paths.append('/'.join(
[data_dir, store_type, namespace]))
else:
db_path = get_db_path(task._inputs[0])
target_paths.append(db_path[:db_path.rfind('*')])
real_data_dir = os.path.realpath(get_data_dir())
for path in target_paths:
realpath = os.path.realpath(path)
if os.path.exists(path):
if realpath == "/" \
or realpath == real_data_dir \
or not realpath.startswith(real_data_dir):
raise ValueError(
f'trying to delete a dangerous path: {realpath}'
)
else:
shutil.rmtree(path)
else:
options = task._job._options
with create_adapter(task._inputs[0],
options=options) as input_adapter:
input_adapter.destroy(options=options)
elif task._name == 'delete':
f = create_functor(functors[0]._body)
with create_adapter(task._inputs[0]) as input_adapter:
if input_adapter.delete(f._key):
L.trace("delete k success")
elif task._name == 'mapValues':
f = create_functor(functors[0]._body)
def map_values_wrapper(input_iterator, key_serdes, value_serdes,
output_writebatch):
for k_bytes, v_bytes in input_iterator:
v = value_serdes.deserialize(v_bytes)
output_writebatch.put(k_bytes,
value_serdes.serialize(f(v)))
self._run_unary(map_values_wrapper, task)
elif task._name == 'map':
f = create_functor(functors[0]._body)
def map_wrapper(input_iterator, key_serdes, value_serdes,
shuffle_broker):
for k_bytes, v_bytes in input_iterator:
k1, v1 = f(key_serdes.deserialize(k_bytes),
value_serdes.deserialize(v_bytes))
shuffle_broker.put(
(key_serdes.serialize(k1), value_serdes.serialize(v1)))
self._run_unary(map_wrapper, task, shuffle=True)
elif task._name == 'reduce':
seq_op_result = self.aggregate_seq(task=task)
result = ErPair(key=self.functor_serdes.serialize(
task._inputs[0]._id),
value=self.functor_serdes.serialize(seq_op_result))
elif task._name == 'aggregate':
seq_op_result = self.aggregate_seq(task=task)
result = ErPair(key=self.functor_serdes.serialize(
task._inputs[0]._id),
value=self.functor_serdes.serialize(seq_op_result))
elif task._name == 'mapPartitions':
reduce_op = create_functor(functors[1]._body)
shuffle = create_functor(functors[2]._body)
def map_partitions_wrapper(input_iterator, key_serdes,
value_serdes, output_writebatch):
f = create_functor(functors[0]._body)
value = f(generator(key_serdes, value_serdes, input_iterator))
if isinstance(value, Iterable):
for k1, v1 in value:
if shuffle:
output_writebatch.put((key_serdes.serialize(k1),
value_serdes.serialize(v1)))
else:
output_writebatch.put(key_serdes.serialize(k1),
value_serdes.serialize(v1))
else:
key = input_iterator.key()
output_writebatch.put((key, value_serdes.serialize(value)))
self._run_unary(map_partitions_wrapper,
task,
shuffle=shuffle,
reduce_op=reduce_op)
elif task._name == 'collapsePartitions':
def collapse_partitions_wrapper(input_iterator, key_serdes,
value_serdes, output_writebatch):
f = create_functor(functors[0]._body)
value = f(generator(key_serdes, value_serdes, input_iterator))
if input_iterator.last():
key = input_iterator.key()
output_writebatch.put(key, value_serdes.serialize(value))
self._run_unary(collapse_partitions_wrapper, task)
elif task._name == 'flatMap':
shuffle = create_functor(functors[1]._body)
def flat_map_wraaper(input_iterator, key_serdes, value_serdes,
output_writebatch):
f = create_functor(functors[0]._body)
for k1, v1 in input_iterator:
for k2, v2 in f(key_serdes.deserialize(k1),
value_serdes.deserialize(v1)):
if shuffle:
output_writebatch.put((key_serdes.serialize(k2),
value_serdes.serialize(v2)))
else:
output_writebatch.put(key_serdes.serialize(k2),
value_serdes.serialize(v2))
self._run_unary(flat_map_wraaper, task, shuffle=shuffle)
elif task._name == 'glom':
def glom_wrapper(input_iterator, key_serdes, value_serdes,
output_writebatch):
k_tmp = None
v_list = []
for k, v in input_iterator:
v_list.append((key_serdes.deserialize(k),
value_serdes.deserialize(v)))
k_tmp = k
if k_tmp is not None:
output_writebatch.put(k_tmp,
value_serdes.serialize(v_list))
self._run_unary(glom_wrapper, task)
elif task._name == 'sample':
def sample_wrapper(input_iterator, key_serdes, value_serdes,
output_writebatch):
fraction = create_functor(functors[0]._body)
seed = create_functor(functors[1]._body)
input_iterator.first()
random_state = np.random.RandomState(seed)
for k, v in input_iterator:
if random_state.rand() < fraction:
output_writebatch.put(k, v)
self._run_unary(sample_wrapper, task)
elif task._name == 'filter':
def filter_wrapper(input_iterator, key_serdes, value_serdes,
output_writebatch):
f = create_functor(functors[0]._body)
for k, v in input_iterator:
if f(key_serdes.deserialize(k),
value_serdes.deserialize(v)):
output_writebatch.put(k, v)
self._run_unary(filter_wrapper, task)
elif task._name == 'join':
def merge_join_wrapper(left_iterator, left_key_serdes,
left_value_serdes, right_iterator,
right_key_serdes, right_value_serdes,
output_writebatch):
if not left_iterator.adapter.is_sorted(
) or not right_iterator.adapter.is_sorted():
raise RuntimeError(
f"merge join cannot be applied: not both store types support sorting. "
f"left type: {type(left_iterator.adapter)}, is_sorted: {left_iterator.adapter.is_sorted()}; "
f"right type: {type(right_iterator.adapter)}, is_sorted: {right_iterator.adapter.is_sorted()}"
)
f = create_functor(functors[0]._body)
is_same_serdes = left_key_serdes == right_key_serdes
l_iter = iter(left_iterator)
r_iter = iter(right_iterator)
try:
k_left, v_left_bytes = next(l_iter)
k_right_raw, v_right_bytes = next(r_iter)
if is_same_serdes:
k_right = k_right_raw
else:
k_right = left_key_serdes.serialize(
right_key_serdes.deserialize(k_right_raw))
while True:
while k_right < k_left:
k_right_raw, v_right_bytes = next(r_iter)
if is_same_serdes:
k_right = k_right_raw
else:
k_right = left_key_serdes.serialize(
right_key_serdes.deserialize(k_right_raw))
while k_left < k_right:
k_left, v_left_bytes = next(l_iter)
if k_left == k_right:
output_writebatch.put(
k_left,
left_value_serdes.serialize(
f(
left_value_serdes.deserialize(
v_left_bytes),
right_value_serdes.deserialize(
v_right_bytes))))
k_left, v_left_bytes = next(l_iter)
# skips next(r_iter) to avoid duplicate codes for the 3rd time
except StopIteration as e:
return
def hash_join_wrapper(left_iterator, left_key_serdes,
left_value_serdes, right_iterator,
right_key_serdes, right_value_serdes,
output_writebatch):
f = create_functor(functors[0]._body)
is_diff_serdes = type(left_key_serdes) != type(
right_key_serdes)
for k_left, l_v_bytes in left_iterator:
if is_diff_serdes:
k_left = right_key_serdes.serialize(
left_key_serdes.deserialize(k_left))
r_v_bytes = right_iterator.adapter.get(k_left)
if r_v_bytes:
output_writebatch.put(
k_left,
left_value_serdes.serialize(
f(left_value_serdes.deserialize(l_v_bytes),
right_value_serdes.deserialize(r_v_bytes))))
join_type = task._job._options.get('join_type', 'merge')
if join_type == 'merge':
self._run_binary(merge_join_wrapper, task)
else:
self._run_binary(hash_join_wrapper, task)
elif task._name == 'subtractByKey':
def merge_subtract_by_key_wrapper(left_iterator, left_key_serdes,
left_value_serdes,
right_iterator, right_key_serdes,
right_value_serdes,
output_writebatch):
if not left_iterator.adapter.is_sorted(
) or not right_iterator.adapter.is_sorted():
raise RuntimeError(
f"merge subtract_by_key cannot be applied: not both store types support sorting. "
f"left type: {type(left_iterator.adapter)}, is_sorted: {left_iterator.adapter.is_sorted()}; "
f"right type: {type(right_iterator.adapter)}, is_sorted: {right_iterator.adapter.is_sorted()}"
)
is_same_serdes = left_key_serdes == right_key_serdes
l_iter = iter(left_iterator)
r_iter = iter(right_iterator)
is_left_stopped = False
is_equal = False
try:
k_left, v_left = next(l_iter)
except StopIteration:
is_left_stopped = True
k_left = None
v_left = None
try:
k_right_raw, v_right = next(r_iter)
except StopIteration:
is_left_stopped = False
k_right_raw = None
v_right = None
# left is None, output must be None
if k_left is None:
return
try:
if k_left is None:
raise StopIteration()
if k_right_raw is None:
raise StopIteration()
if is_same_serdes:
k_right = k_right_raw
else:
k_right = left_key_serdes.serialize(
right_key_serdes.deserialize(k_right_raw))
while True:
is_left_stopped = False
if k_left < k_right:
output_writebatch.put(k_left, v_left)
k_left, v_left = next(l_iter)
is_left_stopped = True
elif k_left == k_right:
is_equal = True
is_left_stopped = True
k_left, v_left = next(l_iter)
is_left_stopped = False
is_equal = False
k_right_raw, v_right = next(r_iter)
k_right = left_key_serdes.serialize(
right_key_serdes.deserialize(k_right_raw))
else:
k_right_raw, v_right = next(r_iter)
k_right = left_key_serdes.serialize(
right_key_serdes.deserialize(k_right_raw))
is_left_stopped = True
except StopIteration as e:
pass
if not is_left_stopped and not is_equal:
try:
if k_left is not None and v_left is not None:
output_writebatch.put(k_left, v_left)
while True:
k_left, v_left = next(l_iter)
output_writebatch.put(k_left, v_left)
except StopIteration as e:
pass
elif is_left_stopped and not is_equal and k_left is not None:
output_writebatch.put(k_left, v_left)
return
def hash_subtract_by_key_wrapper(left_iterator, left_key_serdes,
left_value_serdes, right_iterator,
right_key_serdes,
right_value_serdes,
output_writebatch):
is_diff_serdes = type(left_key_serdes) != type(
right_key_serdes)
for k_left, v_left in left_iterator:
if is_diff_serdes:
k_left = right_key_serdes.serialize(
left_key_serdes.deserialize(k_left))
v_right = right_iterator.adapter.get(k_left)
if v_right is None:
output_writebatch.put(k_left, v_left)
subtract_by_key_type = task._job._options.get(
'subtract_by_key_type', 'merge')
if subtract_by_key_type == 'merge':
self._run_binary(merge_subtract_by_key_wrapper, task)
else:
self._run_binary(hash_subtract_by_key_wrapper, task)
elif task._name == 'union':
def merge_union_wrapper(left_iterator, left_key_serdes,
left_value_serdes, right_iterator,
right_key_serdes, right_value_serdes,
output_writebatch):
if not left_iterator.adapter.is_sorted(
) or not right_iterator.adapter.is_sorted():
raise RuntimeError(
f"merge union cannot be applied: not both store types support sorting. "
f"left type: {type(left_iterator.adapter)}, is_sorted: {left_iterator.adapter.is_sorted()}; "
f"right type: {type(right_iterator.adapter)}, is_sorted: {right_iterator.adapter.is_sorted()}"
)
f = create_functor(functors[0]._body)
is_same_serdes = left_key_serdes == right_key_serdes
l_iter = iter(left_iterator)
r_iter = iter(right_iterator)
k_left = None
v_left_bytes = None
k_right = None
v_right_bytes = None
none_none = (None, None)
is_left_stopped = False
is_equal = False
try:
k_left, v_left_bytes = next(l_iter, none_none)
k_right_raw, v_right_bytes = next(r_iter, none_none)
if k_left is None and k_right_raw is None:
return
elif k_left is None:
is_left_stopped = True
raise StopIteration()
elif k_right_raw is None:
is_left_stopped = False
raise StopIteration()
if is_same_serdes:
k_right = k_right_raw
else:
k_right = left_key_serdes.serialize(
right_key_serdes.deserialize(k_right_raw))
while True:
is_left_stopped = False
while k_right < k_left:
if is_same_serdes:
output_writebatch.put(k_right, v_right_bytes)
else:
output_writebatch.put(
k_right,
left_value_serdes.serialize(
right_value_serdes.deserialize(
v_right_bytes)))
k_right_raw, v_right_bytes = next(r_iter)
if is_same_serdes:
k_right = k_right_raw
else:
k_right = left_key_serdes.serialize(
right_key_serdes.deserialize(k_right_raw))
is_left_stopped = True
while k_left < k_right:
output_writebatch.put(k_left, v_left_bytes)
k_left, v_left_bytes = next(l_iter)
if k_left == k_right:
is_equal = True
output_writebatch.put(
k_left,
left_value_serdes.serialize(
f(
left_value_serdes.deserialize(
v_left_bytes),
right_value_serdes.deserialize(
v_right_bytes))))
is_left_stopped = True
k_left, v_left_bytes = next(l_iter)
is_left_stopped = False
k_right_raw, v_right_bytes = next(r_iter)
if is_same_serdes:
k_right = k_right_raw
else:
k_right = left_key_serdes.serialize(
right_key_serdes.deserialize(k_right_raw))
is_equal = False
except StopIteration as e:
pass
if not is_left_stopped:
try:
output_writebatch.put(k_left, v_left_bytes)
while True:
k_left, v_left_bytes = next(l_iter)
output_writebatch.put(k_left, v_left_bytes)
except StopIteration as e:
pass
else:
try:
if not is_equal:
if is_same_serdes:
output_writebatch.put(k_right_raw,
v_right_bytes)
else:
output_writebatch.put(
left_key_serdes.serialize(
right_key_serdes.deserialize(
k_right_raw)),
left_value_serdes.serialize(
right_value_serdes.deserialize(
v_right_bytes)))
while True:
k_right_raw, v_right_bytes = next(r_iter)
if is_same_serdes:
output_writebatch.put(k_right_raw,
v_right_bytes)
else:
output_writebatch.put(
left_key_serdes.serialize(
right_key_serdes.deserialize(
k_right_raw)),
left_value_serdes.serialize(
right_value_serdes.deserialize(
v_right_bytes)))
except StopIteration as e:
pass
# end of merge union wrapper
return
def hash_union_wrapper(left_iterator, left_key_serdes,
left_value_serdes, right_iterator,
right_key_serdes, right_value_serdes,
output_writebatch):
f = create_functor(functors[0]._body)
is_diff_serdes = type(left_key_serdes) != type(
right_key_serdes)
for k_left, v_left in left_iterator:
if is_diff_serdes:
k_left = right_key_serdes.serialize(
left_key_serdes.deserialize(k_left))
v_right = right_iterator.adapter.get(k_left)
if v_right is None:
output_writebatch.put(k_left, v_left)
else:
v_final = f(left_value_serdes.deserialize(v_left),
right_value_serdes.deserialize(v_right))
output_writebatch.put(
k_left, left_value_serdes.serialize(v_final))
right_iterator.first()
for k_right, v_right in right_iterator:
if is_diff_serdes:
final_v_bytes = output_writebatch.get(
left_key_serdes.serialize(
right_key_serdes.deserialize(k_right)))
else:
final_v_bytes = output_writebatch.get(k_right)
if final_v_bytes is None:
output_writebatch.put(k_right, v_right)
union_type = task._job._options.get('union_type', 'merge')
if union_type == 'merge':
self._run_binary(merge_union_wrapper, task)
else:
self._run_binary(hash_union_wrapper, task)
elif task._name == 'withStores':
f = create_functor(functors[0]._body)
result = ErPair(key=self.functor_serdes.serialize(
task._inputs[0]._id),
value=self.functor_serdes.serialize(f(task)))
if L.isEnabledFor(logging.TRACE):
L.trace(
f'[RUNTASK] end. task_name={task._name}, inputs={task._inputs}, outputs={task._outputs}, task_id={task._id}'
)
else:
L.debug(
f'[RUNTASK] end. task_name={task._name}, task_id={task._id}')
return result
def __init__(self):
self.functor_serdes = create_serdes(SerdesTypes.CLOUD_PICKLE)
