Pydoop呼叫在芹菜内时不工作

Question

我使用Celery和Pydoop为一个项目设置了两个文件，任务.py和HDFSStorage.py文件

# tasks.py

from celery import Celery
from celery import shared_task
from celery.utils.log import get_task_logger
from HDFSStorage import HDFSStorage

app = Celery('tasks', broker='amqp://guest@localhost//')
logger = get_task_logger(__name__)
fs = HDFSStorage()
print fs.exists("/myfile.txt")

@shared_task
def add(x,y):
    logger.info('Adding {0} + {1}'.format(x, y))
    logger.info('Checking if file exists')
    fs.exists("/myfile.txt")
    logger.info('Done checking if file exists')
    return x+y

---

# HDFSStorage.py

import pydoop
from pydoop.hdfs import hdfs

class HDFSStorage():
    def __init__(self):
        self.client = hdfs(host="master", port=54310, user="oskar")

    def exists(self, name):
        return self.client.exists(name)

---

运行芹菜从任务外的fs.exists()调用开始，并按预期输出True。你知道吗

$ celery -A tasks worker -l info
True
[2016-06-08 15:54:15,298: WARNING/MainProcess] /usr/local/lib/python2.7/dist-packages/ce
lery/apps/worker.py:161: CDeprecationWarning:
Starting from version 3.2 Celery will refuse to accept pickle by default.

The pickle serializer is a security concern as it may give attackers
the ability to execute any command.  It's important to secure
your broker from unauthorized access when using pickle, so we think
that enabling pickle should require a deliberate action and not be
the default choice.

If you depend on pickle then you should set a setting to disable this
warning and to be sure that everything will continue working
when you upgrade to Celery 3.2::

    CELERY_ACCEPT_CONTENT = ['pickle', 'json', 'msgpack', 'yaml']

You must only enable the serializers that you will actually use.


  warnings.warn(CDeprecationWarning(W_PICKLE_DEPRECATED))

 -------------- celery@master v3.1.23 (Cipater)
---- **** -----
--- * ***  * -- Linux-3.19.0-32-generic-x86_64-with-LinuxMint-17.3-rosa
-- * - **** ---
- ** ---------- [config]
- ** ---------- .> app:         tasks:0x7f510d3162d0
- ** ---------- .> transport:   amqp://guest:**@localhost:5672//
- ** ---------- .> results:     disabled://
- *** --- * --- .> concurrency: 4 (prefork)
-- ******* ----
--- ***** ----- [queues]
 -------------- .> celery           exchange=celery(direct) key=celery


[tasks]
  . tasks.add

[2016-06-08 15:54:15,371: INFO/MainProcess] Connected to amqp://guest:**@127.0.0.1:5672/
/
[2016-06-08 15:54:15,382: INFO/MainProcess] mingle: searching for neighbors
[2016-06-08 15:54:16,395: INFO/MainProcess] mingle: all alone
[2016-06-08 15:54:16,412: WARNING/MainProcess] celery@master ready.
[2016-06-08 15:54:19,736: INFO/MainProcess] Events of group {task} enabled by remote.

---

但是，运行具有相同fs.exists()调用的任务会由于未知原因而陷入困境。你知道吗

$ python
Python 2.7.6 (default, Jun 22 2015, 17:58:13)
[GCC 4.8.2] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from tasks import add
True
>>> print add.delay(5,4).get()

---

[2016-06-08 15:54:32,833: INFO/MainProcess] Received task: tasks.add[a50409a8-f82d-4376-
ace2-442a09c9ed4f]
[2016-06-08 15:54:32,834: INFO/Worker-2] tasks.add[a50409a8-f82d-4376-ace2-442a09c9ed4f]
: Adding 5 + 3
[2016-06-08 15:54:32,834: INFO/Worker-2] tasks.add[a50409a8-f82d-4376-ace2-442a09c9ed4f]
: Checking if file exists

---

删除任务中的fs.exists()调用可以使任务正确完成。你知道吗

我做错什么了？是什么让芹菜不能和Pydoop一起吃？你知道吗

Answer 1

必须在任务内创建HDFSStorage实例

# tasks.py

from celery import Celery
from celery import shared_task
from celery.utils.log import get_task_logger
from HDFSStorage import HDFSStorage

app = Celery('tasks', broker='amqp://guest@localhost//')
logger = get_task_logger(__name__)

@shared_task
def add(x,y):
    fs = HDFSStorage()
    logger.info('Adding {0} + {1}'.format(x, y))
    logger.info('Checking if file exists')
    fs.exists("/myfile.txt")
    logger.info('Done checking if file exists')
    return x+y