def test():
logging.basicConfig(level=logging.DEBUG)
from dpark.context import DparkContext
dc = DparkContext("local")
dc.start()
nums = dc.parallelize(range(100), 10)
tracker = CacheTracker(True)
tracker.registerRDD(nums.id, len(nums))
split = nums.splits[0]
print list(tracker.getOrCompute(nums, split))
print list(tracker.getOrCompute(nums, split))
print tracker.getLocationsSnapshot()
tracker.stop()
def test():
logging.basicConfig(level=logging.DEBUG)
from dpark.context import DparkContext
dc = DparkContext("local")
dc.start()
nums = dc.parallelize(range(100), 10)
tracker = CacheTracker(True)
tracker.registerRDD(nums.id, len(nums))
split = nums.splits[0]
print list(tracker.getOrCompute(nums, split))
print list(tracker.getOrCompute(nums, split))
print tracker.getLocationsSnapshot()
tracker.stop()
def __init__(self, batchDuration, sc=None, graph=None, batchCallback=None):
if isinstance(sc, str) or not sc: # None
sc = DparkContext(sc)
self.sc = sc
sc.is_dstream = True
batchDuration = int(batchDuration)
self.batchDuration = batchDuration
self.graph = graph or DStreamGraph(batchDuration)
self.checkpointDir = None
self.checkpointDuration = None
self.scheduler = None
self.lastCheckpointTime = 0
self.batchCallback = batchCallback
def __init__(self, batchDuration, sc=None, graph=None, batchCallback=None):
if isinstance(sc, str) or not sc: # None
sc = DparkContext(sc)
self.sc = sc
sc.is_dstream = True
batchDuration = int(batchDuration)
self.batchDuration = batchDuration
self.graph = graph or DStreamGraph(batchDuration)
self.checkpointDir = None
self.checkpointDuration = None
self.scheduler = None
self.lastCheckpointTime = 0
self.batchCallback = batchCallback
def __init__(self, batchDuration, sc=None):
if isinstance(sc, str) or not sc: # None
sc = DparkContext(sc)
self.sc = sc
batchDuration = int(batchDuration)
self.batchDuration = batchDuration
self.graph = DStreamGraph(batchDuration)
self.checkpointDir = None
self.checkpointDuration = None
self.scheduler = None
def test():
logging.basicConfig(level=logging.DEBUG)
cache = mmapCache
pool = multiprocessing.Pool(2)
assert pool.apply(set_cache) == True
assert pool.apply(get_cache) == 'b'
pool.close()
pool.join()
assert cache.get('a') == 'b'
from dpark.context import DparkContext
dc = DparkContext("local")
nums = dc.parallelize(range(100), 10)
cache = mmapCache
tracker = CacheTracker(True)
tracker.registerRDD(nums.id, len(nums))
split = nums.splits[0]
print tracker.getOrCompute(nums, split)
print tracker.getOrCompute(nums, split)
print tracker.getLocationsSnapshot()
tracker.stop()
