def _run(self, **kwargs):
jobargs = util.DefaultDict(self.defaults.__getitem__, kwargs)
# -- check parameters --
# Backwards compatibility
# (fun_map == map, input_files == input)
if "fun_map" in kwargs:
kwargs["map"] = kwargs["fun_map"]
if "input_files" in kwargs:
kwargs["input"] = kwargs["input_files"]
if "chunked" in kwargs:
raise DeprecationWarning("Argument 'chunked' is deprecated")
if "nr_maps" in kwargs:
sys.stderr.write("Warning: nr_maps is deprecated. " "Use scheduler = {'max_cores': N} instead.\n")
sched = jobargs["scheduler"].copy()
if "max_cores" not in sched:
sched["max_cores"] = int(jobargs["nr_maps"])
jobargs["scheduler"] = sched
if not "input" in kwargs:
raise DiscoError("Argument input is required")
if not ("map" in kwargs or "reduce" in kwargs):
raise DiscoError("Specify map and/or reduce")
for p in kwargs:
if p not in Job.defaults:
raise DiscoError("Unknown argument: %s" % p)
input = kwargs["input"]
# -- initialize request --
request = {
"prefix": self.name,
"version": ".".join(map(str, sys.version_info[:2])),
"params": cPickle.dumps(jobargs["params"], cPickle.HIGHEST_PROTOCOL),
"sort": str(int(jobargs["sort"])),
"mem_sort_limit": str(jobargs["mem_sort_limit"]),
"status_interval": str(jobargs["status_interval"]),
"profile": str(int(jobargs["profile"])),
}
# -- required modules --
if "required_modules" in kwargs:
rm = kwargs["required_modules"]
else:
functions = util.flatten(util.iterify(jobargs[f]) for f in self.mapreduce_functions)
rm = modutil.find_modules([f for f in functions if callable(f)])
send_mod = []
imp_mod = []
for mod in rm:
if type(mod) == tuple:
send_mod.append(mod[1])
mod = mod[0]
imp_mod.append(mod)
request["required_modules"] = " ".join(imp_mod)
rf = util.pack_files(send_mod)
# -- input & output streams --
for stream in ["map_input_stream", "map_output_stream", "reduce_input_stream", "reduce_output_stream"]:
self.pack_stack(kwargs, request, stream)
# -- required files --
if "required_files" in kwargs:
if isinstance(kwargs["required_files"], dict):
rf.update(kwargs["required_files"])
else:
rf.update(util.pack_files(kwargs["required_files"]))
if rf:
request["required_files"] = util.pack(rf)
# -- scheduler --
sched = jobargs["scheduler"]
sched_keys = ["max_cores", "force_local", "force_remote"]
if "max_cores" not in sched:
sched["max_cores"] = 2 ** 31
elif sched["max_cores"] < 1:
raise DiscoError("max_cores must be >= 1")
for k in sched_keys:
if k in sched:
request["sched_" + k] = str(sched[k])
# -- map --
if "map" in kwargs:
k = "ext_map" if isinstance(kwargs["map"], dict) else "map"
request[k] = util.pack(kwargs["map"])
for function_name in ("map_init", "map_reader", "map_writer", "partition", "combiner"):
function = jobargs[function_name]
if function:
request[function_name] = util.pack(function)
def inputlist(input):
if hasattr(input, "__iter__"):
return ["\n".join(reversed(list(input)))]
return util.urllist(input)
input = [e for i in input for e in inputlist(i)]
# -- only reduce --
else:
# XXX: Check for redundant inputs, external &
# partitioned inputs
input = [url for i in input for url in util.urllist(i)]
request["input"] = " ".join(input)
if "ext_params" in kwargs:
e = kwargs["ext_params"]
request["ext_params"] = encode_netstring_fd(e) if isinstance(e, dict) else e
# -- reduce --
nr_reduces = jobargs["nr_reduces"]
if "reduce" in kwargs:
k = "ext_reduce" if isinstance(kwargs["reduce"], dict) else "reduce"
request[k] = util.pack(kwargs["reduce"])
for function_name in ("reduce_reader", "reduce_writer", "reduce_init"):
function = jobargs[function_name]
if function:
request[function_name] = util.pack(function)
request["nr_reduces"] = str(nr_reduces)
# -- encode and send the request --
reply = self.master.request("/disco/job/new", encode_netstring_fd(request))
if not reply.startswith("job started:"):
raise DiscoError("Failed to start a job. Server replied: " + reply)
self.name = reply.split(":", 1)[1]
def _run(self, **kw):
d = lambda x: kw.get(x, Job.defaults[x])
# -- check parameters --
# Backwards compatibility
# (fun_map == map, input_files == input)
if "fun_map" in kw:
kw["map"] = kw["fun_map"]
if "input_files" in kw:
kw["input"] = kw["input_files"]
if "chunked" in kw:
raise DiscoError("Argument 'chunked' is deprecated")
if not "input" in kw:
raise DiscoError("input is required")
if not ("map" in kw or "reduce" in kw):
raise DiscoError("Specify map and/or reduce")
for p in kw:
if p not in Job.defaults:
raise DiscoError("Unknown argument: %s" % p)
inputs = kw["input"]
# -- initialize request --
req = {"name": self.name,
"version": ".".join(map(str, sys.version_info[:2])),
"params": cPickle.dumps(d("params"), cPickle.HIGHEST_PROTOCOL),
"sort": str(int(d("sort"))),
"mem_sort_limit": str(d("mem_sort_limit")),
"status_interval": str(d("status_interval")),
"profile": str(int(d("profile")))}
# -- required modules --
if "required_modules" in kw:
rm = kw["required_modules"]
else:
funlist = []
for f in Job.funs:
df = d(f)
if type(df) == types.FunctionType:
funlist.append(df)
elif type(df) == list:
funlist += df
rm = modutil.find_modules(funlist)
send_mod = []
imp_mod = []
for mod in rm:
if type(mod) == tuple:
send_mod.append(mod[1])
mod = mod[0]
imp_mod.append(mod)
req["required_modules"] = " ".join(imp_mod)
rf = util.pack_files(send_mod)
# -- required files --
if "required_files" in kw:
if type(kw["required_files"]) == dict:
rf.update(kw["required_files"])
else:
rf.update(util.pack_files(\
kw["required_files"]))
if rf:
req["required_files"] = marshal.dumps(rf)
# -- map --
if "map" in kw:
if type(kw["map"]) == dict:
req["ext_map"] = marshal.dumps(kw["map"])
else:
req["map"] = marshal.dumps(kw["map"].func_code)
if "map_init" in kw:
req["map_init"] = marshal.dumps(\
kw["map_init"].func_code)
req["map_reader"] =\
marshal.dumps(d("map_reader").func_code)
req["map_writer"] =\
marshal.dumps(d("map_writer").func_code)
req["partition"] =\
marshal.dumps(d("partition").func_code)
if "combiner" in kw:
req["combiner"] =\
marshal.dumps(kw["combiner"].func_code)
parsed_inputs = []
for inp in inputs:
if type(inp) == list:
parsed_inputs.append(
"\n".join(reversed(inp)))
elif inp.startswith("dir://"):
parsed_inputs += util.parse_dir(inp)
else:
parsed_inputs.append(inp)
inputs = parsed_inputs
if "nr_maps" not in kw or kw["nr_maps"] > len(inputs):
nr_maps = len(inputs)
else:
nr_maps = kw["nr_maps"]
# -- only reduce --
else:
nr_maps = 0
ext_inputs = []
red_inputs = []
for inp in inputs:
if type(inp) == list:
raise DiscoError("Reduce doesn't "\
"accept redundant inputs")
elif inp.startswith("dir://"):
if inp.endswith(".txt"):
ext_inputs.append(inp)
else:
red_inputs.append(inp)
else:
ext_inputs.append(inp)
if ext_inputs and red_inputs:
raise DiscoError("Can't mix partitioned "\
"inputs with other inputs")
elif red_inputs:
q = lambda x: int(x.split(":")[-1]) + 1
nr_red = q(red_inputs[0])
for x in red_inputs:
if q(x) != nr_red:
raise DiscoError(\
"Number of partitions must "\
"match in all inputs")
n = d("nr_reduces") or nr_red
if n != nr_red:
raise DiscoError(
"Specified nr_reduces = %d but "\
"number of partitions in the input "\
"is %d" % (n, nr_red))
kw["nr_reduces"] = nr_red
inputs = red_inputs
elif d("nr_reduces") != 1:
raise DiscoError("nr_reduces must be 1 when "\
"using non-partitioned inputs "\
"without the map phase")
else:
inputs = ext_inputs
# shuffle fixes a pathological case in the fifo scheduler:
# if inputs for a node are consequent, data locality will be
# lost after K inputs where K is the number of cores.
# Randomizing the order of inputs makes this pathological case
# unlikely. This issue will be fixed in the new scheduler.
random.shuffle(inputs)
req["input"] = " ".join(inputs)
req["nr_maps"] = str(nr_maps)
if "ext_params" in kw:
if type(kw["ext_params"]) == dict:
req["ext_params"] =\
encode_netstring_fd(kw["ext_params"])
else:
req["ext_params"] = kw["ext_params"]
# -- reduce --
nr_reduces = d("nr_reduces")
if "reduce" in kw:
if type(kw["reduce"]) == dict:
req["ext_reduce"] = marshal.dumps(kw["reduce"])
req["reduce"] = ""
else:
req["reduce"] = marshal.dumps(
kw["reduce"].func_code)
nr_reduces = nr_reduces or min(max(nr_maps / 2, 1), 100)
req["reduce_reader"] =\
marshal.dumps(d("reduce_reader").func_code)
req["reduce_writer"] =\
marshal.dumps(d("reduce_writer").func_code)
if "reduce_init" in kw:
req["reduce_init"] = marshal.dumps(\
kw["reduce_init"].func_code)
else:
nr_reduces = nr_reduces or 0
req["nr_reduces"] = str(nr_reduces)
# -- encode and send the request --
self.msg = encode_netstring_fd(req)
reply = self.master.request("/disco/job/new", self.msg)
if reply != "job started":
raise DiscoError("Failed to start a job. Server replied: " + reply)