Why is a DirectView.execute() never ready() in ipyparallel and how can I purge?












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I have an ipyparallel job that takes up too much memory because results are large, so I am modifying it to use Client.purge_local_results() and purge_hub_results(). If I am using dview.execute() as recommended, I end up with an AsyncResult and can successfully run other code blocks in the load-balanced view, but the original result never is ready().



Furthermore, the message_ids from the original result remain in Client.outstanding which prevents the purge() commands from succeeding. Using block=True and block=False both give unexpected behavior.



Below is example code. This is using Python version 3.6.7, ipyparallel version 6.2.2 on CentOS7.



import sys
import time
import ipyparallel

print("Python version {}, ipyparallel version {}".format(sys.version, ipyparallel.__version__))

cluster_profile = sys.argv[1]
try:
rc = ipyparallel.Client(profile=cluster_profile)
except (ipyparallel.error.TimeoutError, OSError):
print("The cluster request for '{}' timed out. Is it defined and running?".format(cluster_profile))
exit(2)

dview = rc[:]
lview = rc.load_balanced_view()

def trivial_fn(x=None):
import os
pid = os.getpid()
filename = '/tmp/{}.pid'.format(pid)
with open(filename, 'a'):
os.utime(filename)
return str(pid) + str(datetime.datetime.now())

if sys.argv[2] == 'block':

print("Running with block=True..... (Use Ctrl-C if this hangs).")
async_exec_withblock = dview.execute('trivial_fn()', block=True)
# Note, this does hang until pressing Ctrl-C

print("Blocking OK, got {}. ".format(async_exec_withblock))


# Note, we never get to the following line. A second Ctrl-C kills us
print("Blocking Done, got {}n:{} ".format(async_exec_withblock, list(async_exec_withblock) ) )
print("Finished.")
exit(0)
else:

print("Running with block=False.... (Use Ctrl-C if this hangs)")
async_exec_noblock = dview.execute('import datetime', block=False)
print("Nonblocking request done, got class {}: {}. Running a map_async() on the load balanced view.....".format(
async_exec_noblock.__class__, str(async_exec_noblock)
))

mapped_trivial = lview.map_async(trivial_fn, list(range(4)))
# Note, this successfully prints expected results from the load-balanced view
print('Load balanced view returned {}'.format(' '.join(mapped_trivial)))


print('Now waiting for ready() from old non-blocking request....')
while not async_exec_noblock.ready():
time.sleep(0.5)
print('Still waiting. Current Client.outstanding size is {}....'.format(len(rc.outstanding)))
# Note, this repeats forever

# Note, we never get to the following line...
print("Non-blocking OK, got {}. ".format(list(async_exec_noblock)))
print("Finished.")
exit(0)









share|improve this question





























    0















    I have an ipyparallel job that takes up too much memory because results are large, so I am modifying it to use Client.purge_local_results() and purge_hub_results(). If I am using dview.execute() as recommended, I end up with an AsyncResult and can successfully run other code blocks in the load-balanced view, but the original result never is ready().



    Furthermore, the message_ids from the original result remain in Client.outstanding which prevents the purge() commands from succeeding. Using block=True and block=False both give unexpected behavior.



    Below is example code. This is using Python version 3.6.7, ipyparallel version 6.2.2 on CentOS7.



    import sys
    import time
    import ipyparallel

    print("Python version {}, ipyparallel version {}".format(sys.version, ipyparallel.__version__))

    cluster_profile = sys.argv[1]
    try:
    rc = ipyparallel.Client(profile=cluster_profile)
    except (ipyparallel.error.TimeoutError, OSError):
    print("The cluster request for '{}' timed out. Is it defined and running?".format(cluster_profile))
    exit(2)

    dview = rc[:]
    lview = rc.load_balanced_view()

    def trivial_fn(x=None):
    import os
    pid = os.getpid()
    filename = '/tmp/{}.pid'.format(pid)
    with open(filename, 'a'):
    os.utime(filename)
    return str(pid) + str(datetime.datetime.now())

    if sys.argv[2] == 'block':

    print("Running with block=True..... (Use Ctrl-C if this hangs).")
    async_exec_withblock = dview.execute('trivial_fn()', block=True)
    # Note, this does hang until pressing Ctrl-C

    print("Blocking OK, got {}. ".format(async_exec_withblock))


    # Note, we never get to the following line. A second Ctrl-C kills us
    print("Blocking Done, got {}n:{} ".format(async_exec_withblock, list(async_exec_withblock) ) )
    print("Finished.")
    exit(0)
    else:

    print("Running with block=False.... (Use Ctrl-C if this hangs)")
    async_exec_noblock = dview.execute('import datetime', block=False)
    print("Nonblocking request done, got class {}: {}. Running a map_async() on the load balanced view.....".format(
    async_exec_noblock.__class__, str(async_exec_noblock)
    ))

    mapped_trivial = lview.map_async(trivial_fn, list(range(4)))
    # Note, this successfully prints expected results from the load-balanced view
    print('Load balanced view returned {}'.format(' '.join(mapped_trivial)))


    print('Now waiting for ready() from old non-blocking request....')
    while not async_exec_noblock.ready():
    time.sleep(0.5)
    print('Still waiting. Current Client.outstanding size is {}....'.format(len(rc.outstanding)))
    # Note, this repeats forever

    # Note, we never get to the following line...
    print("Non-blocking OK, got {}. ".format(list(async_exec_noblock)))
    print("Finished.")
    exit(0)









    share|improve this question



























      0












      0








      0








      I have an ipyparallel job that takes up too much memory because results are large, so I am modifying it to use Client.purge_local_results() and purge_hub_results(). If I am using dview.execute() as recommended, I end up with an AsyncResult and can successfully run other code blocks in the load-balanced view, but the original result never is ready().



      Furthermore, the message_ids from the original result remain in Client.outstanding which prevents the purge() commands from succeeding. Using block=True and block=False both give unexpected behavior.



      Below is example code. This is using Python version 3.6.7, ipyparallel version 6.2.2 on CentOS7.



      import sys
      import time
      import ipyparallel

      print("Python version {}, ipyparallel version {}".format(sys.version, ipyparallel.__version__))

      cluster_profile = sys.argv[1]
      try:
      rc = ipyparallel.Client(profile=cluster_profile)
      except (ipyparallel.error.TimeoutError, OSError):
      print("The cluster request for '{}' timed out. Is it defined and running?".format(cluster_profile))
      exit(2)

      dview = rc[:]
      lview = rc.load_balanced_view()

      def trivial_fn(x=None):
      import os
      pid = os.getpid()
      filename = '/tmp/{}.pid'.format(pid)
      with open(filename, 'a'):
      os.utime(filename)
      return str(pid) + str(datetime.datetime.now())

      if sys.argv[2] == 'block':

      print("Running with block=True..... (Use Ctrl-C if this hangs).")
      async_exec_withblock = dview.execute('trivial_fn()', block=True)
      # Note, this does hang until pressing Ctrl-C

      print("Blocking OK, got {}. ".format(async_exec_withblock))


      # Note, we never get to the following line. A second Ctrl-C kills us
      print("Blocking Done, got {}n:{} ".format(async_exec_withblock, list(async_exec_withblock) ) )
      print("Finished.")
      exit(0)
      else:

      print("Running with block=False.... (Use Ctrl-C if this hangs)")
      async_exec_noblock = dview.execute('import datetime', block=False)
      print("Nonblocking request done, got class {}: {}. Running a map_async() on the load balanced view.....".format(
      async_exec_noblock.__class__, str(async_exec_noblock)
      ))

      mapped_trivial = lview.map_async(trivial_fn, list(range(4)))
      # Note, this successfully prints expected results from the load-balanced view
      print('Load balanced view returned {}'.format(' '.join(mapped_trivial)))


      print('Now waiting for ready() from old non-blocking request....')
      while not async_exec_noblock.ready():
      time.sleep(0.5)
      print('Still waiting. Current Client.outstanding size is {}....'.format(len(rc.outstanding)))
      # Note, this repeats forever

      # Note, we never get to the following line...
      print("Non-blocking OK, got {}. ".format(list(async_exec_noblock)))
      print("Finished.")
      exit(0)









      share|improve this question
















      I have an ipyparallel job that takes up too much memory because results are large, so I am modifying it to use Client.purge_local_results() and purge_hub_results(). If I am using dview.execute() as recommended, I end up with an AsyncResult and can successfully run other code blocks in the load-balanced view, but the original result never is ready().



      Furthermore, the message_ids from the original result remain in Client.outstanding which prevents the purge() commands from succeeding. Using block=True and block=False both give unexpected behavior.



      Below is example code. This is using Python version 3.6.7, ipyparallel version 6.2.2 on CentOS7.



      import sys
      import time
      import ipyparallel

      print("Python version {}, ipyparallel version {}".format(sys.version, ipyparallel.__version__))

      cluster_profile = sys.argv[1]
      try:
      rc = ipyparallel.Client(profile=cluster_profile)
      except (ipyparallel.error.TimeoutError, OSError):
      print("The cluster request for '{}' timed out. Is it defined and running?".format(cluster_profile))
      exit(2)

      dview = rc[:]
      lview = rc.load_balanced_view()

      def trivial_fn(x=None):
      import os
      pid = os.getpid()
      filename = '/tmp/{}.pid'.format(pid)
      with open(filename, 'a'):
      os.utime(filename)
      return str(pid) + str(datetime.datetime.now())

      if sys.argv[2] == 'block':

      print("Running with block=True..... (Use Ctrl-C if this hangs).")
      async_exec_withblock = dview.execute('trivial_fn()', block=True)
      # Note, this does hang until pressing Ctrl-C

      print("Blocking OK, got {}. ".format(async_exec_withblock))


      # Note, we never get to the following line. A second Ctrl-C kills us
      print("Blocking Done, got {}n:{} ".format(async_exec_withblock, list(async_exec_withblock) ) )
      print("Finished.")
      exit(0)
      else:

      print("Running with block=False.... (Use Ctrl-C if this hangs)")
      async_exec_noblock = dview.execute('import datetime', block=False)
      print("Nonblocking request done, got class {}: {}. Running a map_async() on the load balanced view.....".format(
      async_exec_noblock.__class__, str(async_exec_noblock)
      ))

      mapped_trivial = lview.map_async(trivial_fn, list(range(4)))
      # Note, this successfully prints expected results from the load-balanced view
      print('Load balanced view returned {}'.format(' '.join(mapped_trivial)))


      print('Now waiting for ready() from old non-blocking request....')
      while not async_exec_noblock.ready():
      time.sleep(0.5)
      print('Still waiting. Current Client.outstanding size is {}....'.format(len(rc.outstanding)))
      # Note, this repeats forever

      # Note, we never get to the following line...
      print("Non-blocking OK, got {}. ".format(list(async_exec_noblock)))
      print("Finished.")
      exit(0)






      python python-3.x parallel-processing ipython-parallel






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      edited Nov 28 '18 at 21:23







      Brian B

















      asked Nov 28 '18 at 21:01









      Brian BBrian B

      8151124




      8151124
























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