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#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from __future__ import print_function
import time
import threading
import Queue
from pyspark import SparkConf, SparkContext
def delayed(seconds):
def f(x):
time.sleep(seconds)
return x
return f
def call_in_background(f, *args):
result = Queue.Queue(1)
t = threading.Thread(target=lambda: result.put(f(*args)))
t.daemon = True
t.start()
return result
def main():
conf = SparkConf().set("spark.ui.showConsoleProgress", "false")
sc = SparkContext(appName="PythonStatusAPIDemo", conf=conf)
def run():
rdd = sc.parallelize(range(10), 10).map(delayed(2))
reduced = rdd.map(lambda x: (x, 1)).reduceByKey(lambda x, y: x + y)
return reduced.map(delayed(2)).collect()
result = call_in_background(run)
status = sc.statusTracker()
while result.empty():
ids = status.getJobIdsForGroup()
for id in ids:
job = status.getJobInfo(id)
print("Job", id, "status: ", job.status)
for sid in job.stageIds:
info = status.getStageInfo(sid)
if info:
print("Stage %d: %d tasks total (%d active, %d complete)" %
(sid, info.numTasks, info.numActiveTasks, info.numCompletedTasks))
time.sleep(1)
print("Job results are:", result.get())
sc.stop()
if __name__ == "__main__":
main()
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