def __init__(self, rdd, path, field_names, indices=None, numSplits=None):
RDD.__init__(self, rdd.ctx)
self.prev = rdd
self.mem = rdd.mem + 600
self.path = path
if os.path.exists(path):
raise RuntimeError('path already exists: %s' % path)
os.makedirs(path)
if isinstance(field_names, basestring):
field_names = field_names.replace(',', ' ').split()
if len(set(field_names)) != len(field_names):
raise ValueError('duplicated field names')
self.fields = map(str, field_names)
if isinstance(indices, types.StringTypes):
indices = indices.replace(',', ' ').split()
self.indices = set()
if indices:
for i in indices:
i = str(i)
if i not in self.fields:
raise ValueError('index field %s not in field list' % i)
self.indices.add(i)
prev_splits = len(rdd)
numSplits = min(numSplits or prev_splits, prev_splits)
self.numSplits = min(numSplits, prev_splits)
s = [int(round(1.0*prev_splits/numSplits*i)) for i in xrange(numSplits + 1)]
self._splits = [MultiSplit(i, rdd.splits[s[i]:s[i+1]]) for i in xrange(numSplits)]
self.dependencies = [OneToRangeDependency(rdd, int(prev_splits/numSplits),
prev_splits)]
def __init__(self, rdd, filters):
RDD.__init__(self, rdd.ctx)
self.rdd = rdd
self.filters = filters
self.mem = max(self.mem, rdd.mem)
self.dependencies = [OneToOneDependency(rdd)]
self._splits = self._get_splits()
def __init__(self, rdd, filters):
RDD.__init__(self, rdd.ctx)
self.rdd = rdd
self.filters = filters
self.mem = max(self.mem, rdd.mem)
self.dependencies = [OneToOneDependency(rdd)]
self._splits = self._get_splits()
def __init__(self, ctx, path, fields=None, taskMemory=None):
RDD.__init__(self, ctx)
if taskMemory:
self.mem = taskMemory
if isinstance(path, six.string_types):
files = self._get_files(path)
else:
files = chain(self._get_files(p) for p in path)
rdds = [TabularFileRDD(ctx, f, fields) for f in files]
self._splits = []
i = 0
for rdd in rdds:
for sp in rdd.splits:
self._splits.append(TabularSplit(i, rdd, sp))
i += 1
self._dependencies = [OneToOneDependency(rdd) for rdd in rdds]
self.repr_name = '<%s %d %s...>' % (self.__class__.__name__, len(rdds),
','.join(
str(rdd) for rdd in rdds[:1]))
self._preferred_locs = {}
for split in self._splits:
self._preferred_locs[split] = split.rdd.preferredLocations(
split.split)
def __init__(self, rdd, filters):
RDD.__init__(self, rdd.ctx)
self.rdd = rdd
self.filters = filters
self.mem = max(self.mem, rdd.mem)
self._dependencies = [OneToOneDependency(rdd)]
self._splits = self._get_splits()
self.repr_name = '<%s %s>' % (self.__class__.__name__, rdd)
self._preferred_locs = {}
for split in self._splits:
self._preferred_locs[split] = rdd.preferredLocations(split)
def __init__(self, ctx, path, fields = None, taskMemory=None):
RDD.__init__(self, ctx)
if taskMemory:
self.mem = taskMemory
if isinstance(path, basestring):
files = self._get_files(path)
else:
files = chain(self._get_files(p) for p in path)
self.rdds = [TabularFileRDD(ctx, f, fields) for f in files]
self._splits = [TabularSplit(rdd, sp) for rdd in self.rdds for sp in rdd.splits]
self.dependencies = [OneToOneDependency(rdd) for rdd in self.rdds]
def __init__(self, ctx, path, fields=None, taskMemory=None):
RDD.__init__(self, ctx)
if taskMemory:
self.mem = taskMemory
if isinstance(path, basestring):
files = self._get_files(path)
else:
files = chain(self._get_files(p) for p in path)
self.rdds = [TabularFileRDD(ctx, f, fields) for f in files]
self._splits = []
i = 0
for rdd in self.rdds:
for sp in rdd.splits:
self._splits.append(TabularSplit(i, rdd, sp))
i += 1
self.dependencies = [OneToOneDependency(rdd) for rdd in self.rdds]
def __init__(self, rdd, path, field_names, indices=None, numSplits=None):
RDD.__init__(self, rdd.ctx)
self.prev = rdd
self.mem = rdd.mem + 600
self.path = path
if os.path.exists(path):
raise RuntimeError('path already exists: %s' % path)
os.makedirs(path)
if isinstance(field_names, six.string_types):
field_names = field_names.replace(',', ' ').split()
if len(set(field_names)) != len(field_names):
raise ValueError('duplicated field names')
self.fields = list(map(str, field_names))
if isinstance(indices, (str, )):
indices = indices.replace(',', ' ').split()
self.indices = set()
if indices:
for i in indices:
i = str(i)
if i not in self.fields:
raise ValueError('index field %s not in field list' % i)
self.indices.add(i)
prev_splits = len(rdd)
numSplits = min(numSplits or prev_splits, prev_splits)
self.numSplits = min(numSplits, prev_splits)
s = [
int(round(1.0 * prev_splits / numSplits * i))
for i in range(numSplits + 1)
]
self._splits = [
MultiSplit(i, rdd.splits[s[i]:s[i + 1]]) for i in range(numSplits)
]
self._dependencies = [
OneToRangeDependency(rdd, int(prev_splits / numSplits),
prev_splits)
]
self.repr_name = '<OutputTabularRDD %s %s>' % (path, rdd)
def __init__(self, ctx, path, fields = None, taskMemory=None):
RDD.__init__(self, ctx)
if taskMemory:
self.mem = taskMemory
if isinstance(path, basestring):
files = self._get_files(path)
else:
files = chain(self._get_files(p) for p in path)
rdds = [TabularFileRDD(ctx, f, fields) for f in files]
self._splits = []
i = 0
for rdd in rdds:
for sp in rdd.splits:
self._splits.append(TabularSplit(i, rdd, sp))
i += 1
self._dependencies = [OneToOneDependency(rdd) for rdd in rdds]
self.repr_name = '<%s %d %s...>' % (self.__class__.__name__, len(rdds),
','.join(str(rdd) for rdd in rdds[:1]))
self._preferred_locs = {}
for split in self._splits:
self._preferred_locs[split] = split.rdd.preferredLocations(split.split)
def __getstate__(self):
d = RDD.__getstate__(self)
del d['filters']
return d, dumps(self.filters)
def _clear_dependencies(self):
RDD._clear_dependencies(self)
self.rdd = None
def __getstate__(self):
d = RDD.__getstate__(self)
del d['filters']
return d, dumps(self.filters)