Python: Multiprocessing Copying












0















Hey I try to create a multiprocessing copying process. But I have several problems. I alwys get the error OSError: [Errno 24] Too many open files. I think my function creates too many processes which are all open the same time. Im new in multiprocessing. I have a multithreading version but I want to do it with multiprocessing. The Input for the Function copyFileList is a dataframe with two colums, with the file source and the file destination. So what I am doing wrong here? Best regards!



from multiprocessing import Queue, Process, Value, Lock, cpu_count 

class CTError(Exception):
def __init__(self, errors):
self.errors = errors

try:
O_BINARY = os.O_BINARY
except:
O_BINARY = 0

READ_FLAGS = os.O_RDONLY | O_BINARY
WRITE_FLAGS = os.O_WRONLY | os.O_CREAT | os.O_TRUNC | O_BINARY
BUFFER_SIZE = 128*1024

def copyfile2(src, dst):

try:
fin = os.open(src, READ_FLAGS)
stat = os.fstat(fin)
fout = os.open(dst, WRITE_FLAGS, stat.st_mode)
for x in iter(lambda: os.read(fin, BUFFER_SIZE), b""):
os.write(fout, x)
finally:
try: os.close(fin)
except: pass
try: os.close(fout)
except: pass

def addToQueueFile(src,dst, queue):
queue.put(copyfile2(src,dst))

queue.get()

def copyFileList(srcDst,multiproc=2):
from multiprocessing import Queue, Process, cpu_count
if multiproc == 2:
if __name__ == '__main__':

queue = Queue()
processes =

for count,row in enumerate(srcDst.itertuples()):

processes.append(Process(target = addToQueueFile,
args = (row[1],row[2],queue,)))
processes[-1].start()









share|improve this question





























    0















    Hey I try to create a multiprocessing copying process. But I have several problems. I alwys get the error OSError: [Errno 24] Too many open files. I think my function creates too many processes which are all open the same time. Im new in multiprocessing. I have a multithreading version but I want to do it with multiprocessing. The Input for the Function copyFileList is a dataframe with two colums, with the file source and the file destination. So what I am doing wrong here? Best regards!



    from multiprocessing import Queue, Process, Value, Lock, cpu_count 

    class CTError(Exception):
    def __init__(self, errors):
    self.errors = errors

    try:
    O_BINARY = os.O_BINARY
    except:
    O_BINARY = 0

    READ_FLAGS = os.O_RDONLY | O_BINARY
    WRITE_FLAGS = os.O_WRONLY | os.O_CREAT | os.O_TRUNC | O_BINARY
    BUFFER_SIZE = 128*1024

    def copyfile2(src, dst):

    try:
    fin = os.open(src, READ_FLAGS)
    stat = os.fstat(fin)
    fout = os.open(dst, WRITE_FLAGS, stat.st_mode)
    for x in iter(lambda: os.read(fin, BUFFER_SIZE), b""):
    os.write(fout, x)
    finally:
    try: os.close(fin)
    except: pass
    try: os.close(fout)
    except: pass

    def addToQueueFile(src,dst, queue):
    queue.put(copyfile2(src,dst))

    queue.get()

    def copyFileList(srcDst,multiproc=2):
    from multiprocessing import Queue, Process, cpu_count
    if multiproc == 2:
    if __name__ == '__main__':

    queue = Queue()
    processes =

    for count,row in enumerate(srcDst.itertuples()):

    processes.append(Process(target = addToQueueFile,
    args = (row[1],row[2],queue,)))
    processes[-1].start()









    share|improve this question



























      0












      0








      0








      Hey I try to create a multiprocessing copying process. But I have several problems. I alwys get the error OSError: [Errno 24] Too many open files. I think my function creates too many processes which are all open the same time. Im new in multiprocessing. I have a multithreading version but I want to do it with multiprocessing. The Input for the Function copyFileList is a dataframe with two colums, with the file source and the file destination. So what I am doing wrong here? Best regards!



      from multiprocessing import Queue, Process, Value, Lock, cpu_count 

      class CTError(Exception):
      def __init__(self, errors):
      self.errors = errors

      try:
      O_BINARY = os.O_BINARY
      except:
      O_BINARY = 0

      READ_FLAGS = os.O_RDONLY | O_BINARY
      WRITE_FLAGS = os.O_WRONLY | os.O_CREAT | os.O_TRUNC | O_BINARY
      BUFFER_SIZE = 128*1024

      def copyfile2(src, dst):

      try:
      fin = os.open(src, READ_FLAGS)
      stat = os.fstat(fin)
      fout = os.open(dst, WRITE_FLAGS, stat.st_mode)
      for x in iter(lambda: os.read(fin, BUFFER_SIZE), b""):
      os.write(fout, x)
      finally:
      try: os.close(fin)
      except: pass
      try: os.close(fout)
      except: pass

      def addToQueueFile(src,dst, queue):
      queue.put(copyfile2(src,dst))

      queue.get()

      def copyFileList(srcDst,multiproc=2):
      from multiprocessing import Queue, Process, cpu_count
      if multiproc == 2:
      if __name__ == '__main__':

      queue = Queue()
      processes =

      for count,row in enumerate(srcDst.itertuples()):

      processes.append(Process(target = addToQueueFile,
      args = (row[1],row[2],queue,)))
      processes[-1].start()









      share|improve this question
















      Hey I try to create a multiprocessing copying process. But I have several problems. I alwys get the error OSError: [Errno 24] Too many open files. I think my function creates too many processes which are all open the same time. Im new in multiprocessing. I have a multithreading version but I want to do it with multiprocessing. The Input for the Function copyFileList is a dataframe with two colums, with the file source and the file destination. So what I am doing wrong here? Best regards!



      from multiprocessing import Queue, Process, Value, Lock, cpu_count 

      class CTError(Exception):
      def __init__(self, errors):
      self.errors = errors

      try:
      O_BINARY = os.O_BINARY
      except:
      O_BINARY = 0

      READ_FLAGS = os.O_RDONLY | O_BINARY
      WRITE_FLAGS = os.O_WRONLY | os.O_CREAT | os.O_TRUNC | O_BINARY
      BUFFER_SIZE = 128*1024

      def copyfile2(src, dst):

      try:
      fin = os.open(src, READ_FLAGS)
      stat = os.fstat(fin)
      fout = os.open(dst, WRITE_FLAGS, stat.st_mode)
      for x in iter(lambda: os.read(fin, BUFFER_SIZE), b""):
      os.write(fout, x)
      finally:
      try: os.close(fin)
      except: pass
      try: os.close(fout)
      except: pass

      def addToQueueFile(src,dst, queue):
      queue.put(copyfile2(src,dst))

      queue.get()

      def copyFileList(srcDst,multiproc=2):
      from multiprocessing import Queue, Process, cpu_count
      if multiproc == 2:
      if __name__ == '__main__':

      queue = Queue()
      processes =

      for count,row in enumerate(srcDst.itertuples()):

      processes.append(Process(target = addToQueueFile,
      args = (row[1],row[2],queue,)))
      processes[-1].start()






      python multiprocessing






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 19 '18 at 11:17







      Varlor

















      asked Nov 19 '18 at 11:12









      VarlorVarlor

      286215




      286215
























          0






          active

          oldest

          votes











          Your Answer






          StackExchange.ifUsing("editor", function () {
          StackExchange.using("externalEditor", function () {
          StackExchange.using("snippets", function () {
          StackExchange.snippets.init();
          });
          });
          }, "code-snippets");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "1"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














          draft saved

          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53373391%2fpython-multiprocessing-copying%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown

























          0






          active

          oldest

          votes








          0






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes
















          draft saved

          draft discarded




















































          Thanks for contributing an answer to Stack Overflow!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53373391%2fpython-multiprocessing-copying%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          Popular posts from this blog

          How to change which sound is reproduced for terminal bell?

          Can I use Tabulator js library in my java Spring + Thymeleaf project?

          Title Spacing in Bjornstrup Chapter, Removing Chapter Number From Contents