to diagnose and sample the memory usage used by parts of your application. For example, to sample the memory usage of calling tasks you can do this: from celery.utils.debug import sample_mem, memdump add.delay(i, j) sample_mem() finally: memdump() API Reference Utilities for debugging memory usage, blocking calls, etc. celery.utils.debug.sample_mem()[source] Sample RSS memory usage. Statistics memdump(samples=10, file=None)[source] Dump memory statistics. Will print a sample of all RSS memory samples added by calling sample_mem(), and in addition print used RSS memory after gc.collect() [https://docs

to diagnose and sample the memory usage used by parts of your application. For example, to sample the memory usage of calling tasks you can do this: from celery.utils.debug import sample_mem, memdump add.delay(i, j) sample_mem() finally: memdump() API Reference Utilities for debugging memory usage, blocking calls, etc. celery.utils.debug.sample_mem()[source] Sample RSS memory usage. Statistics memdump(samples=10, file=None)[source] Dump memory statistics. Will print a sample of all RSS memory samples added by calling sample_mem(), and in addition print used RSS memory after gc.collect() [https://docs

to diagnose and sample the memory usage used by parts of your application. For example, to sample the memory usage of calling tasks you can do this: from celery.utils.debug import sample_mem, memdump add.delay(i, j) sample_mem() finally: memdump() API Reference Utilities for debugging memory usage, blocking calls, etc. celery.utils.debug.sample_mem()[source] Sample RSS memory usage. Statistics memdump(samples=10, file=None)[source] Dump memory statistics. Will print a sample of all RSS memory samples added by calling sample_mem(), and in addition print used RSS memory after gc.collect() [https://docs

to diagnose and sample the memory usage used by parts of your application. For example, to sample the memory usage of calling tasks you can do this: from celery.utils.debug import sample_mem, memdump add.delay(i, j) sample_mem() finally: memdump() API Reference Utilities for debugging memory usage, blocking calls, etc. celery.utils.debug.sample_mem()[source] Sample RSS memory usage. Statistics memdump(samples=10, file=None)[source] Dump memory statistics. Will print a sample of all RSS memory samples added by calling sample_mem(), and in addition print used RSS memory after gc.collect() [https://docs

to diagnose and sample the memory usage used by parts of your application. For example, to sample the memory usage of calling tasks you can do this: from celery.utils.debug import sample_mem, memdump add.delay(i, j) sample_mem() finally: memdump() API Reference Utilities for debugging memory usage, blocking calls, etc. celery.utils.debug.sample_mem()[source] Sample RSS memory usage. Statistics memdump(samples=10, file=None)[source] Dump memory statistics. Will print a sample of all RSS memory samples added by calling sample_mem(), and in addition print used RSS memory after gc.collect() [https://docs

to diagnose and sample the memory usage used by parts of your application. For example, to sample the memory usage of calling tasks you can do this: from celery.utils.debug import sample_mem, memdump add.delay(i, j) sample_mem() finally: memdump() API Reference Utilities for debugging memory usage, blocking calls, etc. celery.utils.debug.sample_mem()[source] Sample RSS memory usage. Statistics memdump(samples=10, file=None)[source] Dump memory statistics. Will print a sample of all RSS memory samples added by calling sample_mem(), and in addition print used RSS memory after gc.collect() [https://docs

service helpers, such as the pid-based status checker function in /etc/ init.d/functions. See the sample script in http://github.com/celery/celery/tree/3.1/extra/centos/. 2.8.2 Debugging Tasks Remotely used to diagnose and sample the memory usage used by parts of your application. E.g to sample the memory usage of calling tasks you can do this: from celery.utils.debug import sample_mem, memdump from range(100): add.delay(i, j) sample_mem() finally: memdump() API Reference celery.utils.debug Utilities for debugging memory usage. celery.utils.debug.sample_mem() Sample RSS memory usage. Statistics

service helpers, such as the pid-based status checker function in /etc/init.d/functions. See the sample script in http://github.com/celery/celery/tree/3.1/extra/centos/. This document describes the current used to diagnose and sample the memory usage used by parts of your application. E.g to sample the memory usage of calling tasks you can do this: from celery.utils.debug import sample_mem, memdump from add.delay(i, j) sample_mem() finally: memdump() API Reference celery.utils.debug Utilities for debugging memory usage. celery.utils.debug.sample_mem() Sample RSS memory usage. Statistics

to diagnose and sample the memory usage used by parts of your application. For example, to sample the memory usage of calling tasks you can do this: from celery.utils.debug import sample_mem, memdump range(100): add.delay(i, j) sample_mem() finally: memdump() API Reference Utilities for debugging memory usage, blocking calls, etc. celery.utils.debug.sample_mem() Sample RSS memory usage. Statistics print a sample of all RSS memory samples added by calling sample_mem(), and in addition print used RSS memory after gc.collect(). celery.utils.debug.sample(x, n, k=0) Given a list x a sample of length

to diagnose and sample the memory usage used by parts of your application. For example, to sample the memory usage of calling tasks you can do this: from celery.utils.debug import sample_mem, memdump add.delay(i, j) sample_mem() finally: memdump() API Reference Utilities for debugging memory usage, blocking calls, etc. celery.utils.debug.sample_mem() Sample RSS memory usage. Statistics debug.memdump(samples=10, file=None) Dump memory statistics. Will print a sample of all RSS memory samples added by calling sample_mem(), and in addition print used RSS memory after gc.collect() [https://docs