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from concurrent.futures import ThreadPoolExecutor
from .utils import CountUpDownLatch
import threading
import logging
import multiprocessing
import os
import logging.handlers
from .exceptions import FileNotFoundError
try:
from queue import Empty # Python 3
import _thread
except ImportError:
from Queue import Empty # Python 2
import thread
WORKER_THREAD_PER_PROCESS = 50
QUEUE_BUCKET_SIZE = 10
END_QUEUE_SENTINEL = [None, None]
GLOBAL_EXCEPTION = None
GLOBAL_EXCEPTION_LOCK = threading.Lock()
def monitor_exception(exception_queue, process_ids):
global GLOBAL_EXCEPTION
logger = logging.getLogger("azure.datalake.store")
while True:
try:
local_exception = exception_queue.get(timeout=0.1)
if local_exception == END_QUEUE_SENTINEL:
break
logger.log(logging.DEBUG, "Setting global exception")
GLOBAL_EXCEPTION_LOCK.acquire()
GLOBAL_EXCEPTION = local_exception
GLOBAL_EXCEPTION_LOCK.release()
logger.log(logging.DEBUG, "Closing processes")
for p in process_ids:
p.terminate()
logger.log(logging.DEBUG, "Joining processes")
for p in process_ids:
p.join()
logger.log(logging.DEBUG, "Interrupting main")
raise Exception(local_exception)
except Empty:
pass
def log_listener_process(queue):
while True:
try:
record = queue.get(timeout=0.1)
queue.task_done()
if record == END_QUEUE_SENTINEL: # We send this as a sentinel to tell the listener to quit.
break
logger = logging.getLogger("azure.datalake.store")
#logger.handlers.clear()
logger.handle(record) # No level or filter logic applied - just do it!
except Empty: # Try again
pass
except Exception as e:
import sys, traceback
print('Problems in logging')
traceback.print_exc(file=sys.stderr)
def multi_processor_change_acl(adl, path=None, method_name="", acl_spec="", number_of_sub_process=None):
logger = logging.getLogger("azure.datalake.store")
def launch_processes(number_of_processes):
if number_of_processes is None:
number_of_processes = max(2, multiprocessing.cpu_count() - 1)
process_list = []
for i in range(number_of_processes):
process_list.append(multiprocessing.Process(target=processor,
args=(adl, file_path_queue, finish_queue_processing_flag,
method_name, acl_spec, log_queue, exception_queue)))
process_list[-1].start()
return process_list
def walk(walk_path):
try:
paths = []
all_files = adl.ls(path=walk_path, detail=True)
for files in all_files:
if files['type'] == 'DIRECTORY':
dir_processed_counter.increment() # A new directory to process
walk_thread_pool.submit(walk, files['name'])
paths.append((files['name'], files['type'] == 'FILE'))
if len(paths) == QUEUE_BUCKET_SIZE:
file_path_queue.put(list(paths))
paths = []
if paths != []:
file_path_queue.put(list(paths)) # For leftover paths < bucket_size
except FileNotFoundError:
pass # Continue in case the file was deleted in between
except Exception:
import traceback
logger.exception("Failed to walk for path: " + str(walk_path) + ". Exiting!")
exception_queue.put(traceback.format_exc())
finally:
dir_processed_counter.decrement() # Processing complete for this directory
# Initialize concurrency primitives
log_queue = multiprocessing.JoinableQueue()
exception_queue = multiprocessing.Queue()
finish_queue_processing_flag = multiprocessing.Event()
file_path_queue = multiprocessing.JoinableQueue()
dir_processed_counter = CountUpDownLatch()
# Start relevant threads and processes
log_listener = threading.Thread(target=log_listener_process, args=(log_queue,))
log_listener.start()
child_processes = launch_processes(number_of_sub_process)
exception_monitor_thread = threading.Thread(target=monitor_exception, args=(exception_queue, child_processes))
exception_monitor_thread.start()
walk_thread_pool = ThreadPoolExecutor(max_workers=WORKER_THREAD_PER_PROCESS)
# Root directory needs to be explicitly passed
file_path_queue.put([(path, False)])
dir_processed_counter.increment()
# Processing starts here
walk(path)
if dir_processed_counter.is_zero(): # Done processing all directories. Blocking call.
walk_thread_pool.shutdown()
file_path_queue.close() # No new elements to add
file_path_queue.join() # Wait for operations to be done
logger.log(logging.DEBUG, "file path queue closed")
finish_queue_processing_flag.set() # Set flag to break loop of child processes
for child in child_processes: # Wait for all child process to finish
logger.log(logging.DEBUG, "Joining process: "+str(child.pid))
child.join()
# Cleanup
logger.log(logging.DEBUG, "Sending exception sentinel")
exception_queue.put(END_QUEUE_SENTINEL)
exception_monitor_thread.join()
logger.log(logging.DEBUG, "Exception monitor thread finished")
logger.log(logging.DEBUG, "Sending logger sentinel")
log_queue.put(END_QUEUE_SENTINEL)
log_queue.join()
log_queue.close()
logger.log(logging.DEBUG, "Log queue closed")
log_listener.join()
logger.log(logging.DEBUG, "Log thread finished")
def processor(adl, file_path_queue, finish_queue_processing_flag, method_name, acl_spec, log_queue, exception_queue):
logger = logging.getLogger("azure.datalake.store")
logger.setLevel(logging.DEBUG)
removed_default_acl_spec = ",".join([x for x in acl_spec.split(',') if not x.lower().startswith("default")])
try:
logger.addHandler(logging.handlers.QueueHandler(log_queue))
logger.propagate = False # Prevents double logging
except AttributeError:
# Python 2 doesn't have Queue Handler. Default to best effort logging.
pass
try:
func_table = {"mod_acl": adl.modify_acl_entries, "set_acl": adl.set_acl, "rem_acl": adl.remove_acl_entries}
function_thread_pool = ThreadPoolExecutor(max_workers=WORKER_THREAD_PER_PROCESS)
adl_function = func_table[method_name]
logger.log(logging.DEBUG, "Started processor pid:"+str(os.getpid()))
def func_wrapper(func, path, spec):
try:
func(path=path, acl_spec=spec)
except FileNotFoundError:
logger.exception("File "+str(path)+" not found")
# Complete Exception is being logged in the relevant acl method. Don't print exception here
except Exception as e:
logger.exception("File " + str(path) + " not set. Exception "+str(e))
logger.log(logging.DEBUG, "Completed running on path:" + str(path))
while finish_queue_processing_flag.is_set() == False:
try:
file_paths = file_path_queue.get(timeout=0.1)
file_path_queue.task_done() # Will not be called if empty
for file_path in file_paths:
is_file = file_path[1]
if is_file:
spec = removed_default_acl_spec
else:
spec = acl_spec
logger.log(logging.DEBUG, "Starting on path:" + str(file_path))
function_thread_pool.submit(func_wrapper, adl_function, file_path[0], spec)
except Empty:
pass
except Exception as e:
import traceback
logger.exception("Exception in pid "+str(os.getpid())+"Exception: " + str(e))
exception_queue.put(traceback.format_exc())
finally:
function_thread_pool.shutdown() # Blocking call. Will wait till all threads are done executing.
logger.log(logging.DEBUG, "Finished processor pid: " + str(os.getpid()))
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