我想在 Docker 容器上使用 QIIME2 分析数据。请注意，这是我第一次使用 Docker。我创建了图像，然后创建了容器，并开始成功分析一小部分数据样本。但是，管道的一个步骤系统性地失败，并出现以下错误消息，抱怨剩余空间：
Plugin error from feature-classifier:
[Errno 28] No space left on device
Debug info has been saved to /tmp_mount/qiime2-q2cli-err-8hbv6l2e.log
日志文件并没有对我说太多：
Traceback (most recent call last):
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/site-packages/q2cli/commands.py", line 274, in __call__
results = action(**arguments)
File "<decorator-gen-326>", line 2, in classify_sklearn
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/site-packages/qiime2/sdk/action.py", line 231, in bound_callable
output_types, provenance)
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/site-packages/qiime2/sdk/action.py", line 362, in _callable_executor_
output_views = self._callable(**view_args)
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/site-packages/q2_feature_classifier/classifier.py", line 215, in classify_sklearn
confidence=confidence)
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/site-packages/q2_feature_classifier/_skl.py", line 45, in predict
for chunk in _chunks(reads, chunk_size)) for m in c)
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/site-packages/sklearn/externals/joblib/parallel.py", line 789, in __call__
self.retrieve()
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/site-packages/sklearn/externals/joblib/parallel.py", line 699, in retrieve
self._output.extend(job.get(timeout=self.timeout))
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/multiprocessing/pool.py", line 644, in get
raise self._value
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/multiprocessing/pool.py", line 424, in _handle_tasks
put(task)
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/site-packages/sklearn/externals/joblib/pool.py", line 371, in send
CustomizablePickler(buffer, self._reducers).dump(obj)
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/site-packages/sklearn/externals/joblib/pool.py", line 240, in __call__
for dumped_filename in dump(a, filename):
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py", line 484, in dump
NumpyPickler(f, protocol=protocol).dump(value)
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/pickle.py", line 408, in dump
self.save(obj)
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py", line 278, in save
wrapper.write_array(obj, self)
File "/opt/conda/envs/qiime2-2018.8/lib/python3.5/site-packages/sklearn/externals/joblib/numpy_pickle.py", line 93, in write_array
pickler.file_handle.write(chunk.tostring('C'))
OSError: [Errno 28] No space left on device
但是还有很多空间...
我的图像不大（6G），inode 也可以。我要分析的输入文件很小，只是一个测试。
我发现了一些其他具有相同问题的主题，但我可以尝试的所有方法都失败了。
我试过了 ：
-删除所有退出的容器和悬空的图像
-升级 Docker
- 将 TMPDIR 环境变量设置为 /custom_tmp/ 我自己在容器中创建的。我尝试了几种方法：在 QIIME2 环境中，在容器内但不在 QIIME2 环境中，在 Dockerfile 中添加 ENV TMPDIR="/cutom_tmp"/ 然后重建图像。
- 将 TMPDIR 环境变量设置为在主机服务器上创建的 /tmp_mount/，然后将容器作为卷安装
在每种情况下都会出现相同的问题。我的猜测是，也许 Docker 想要写入自己的 tmp 目录，也许是那些只剩下 64M 的“tmpfs”之一（见下面的命令结果），也许我不能用 TMPDIR 变量解决这个问题，但我被卡住了那里...
非常感谢您的关注和建议。
操作系统：Ubuntu 14.04。
df -h
Filesystem Size Used Avail Use% Mounted on
none 197G 57G 131G 31% /
tmpfs 64M 0 64M 0% /dev
tmpfs 32G 0 32G 0% /sys/fs/cgroup
/dev/sda1 939G 772G 120G 87% /tmp_mount
/dev/dm-0 197G 57G 131G 31% /data
shm 64M 0 64M 0% /dev/shm
tmpfs 32G 0 32G 0% /proc/acpi
tmpfs 32G 0 32G 0% /proc/scsi
tmpfs 32G 0 32G 0% /sys/firmware
码头工人版本
Client:
Version: 18.06.1-ce
API version: 1.38
Go version: go1.10.3
Git commit: e68fc7a
Built: Tue Aug 21 17:24:58 2018
OS/Arch: linux/amd64
Experimental: false
Server:
Engine:
Version: 18.06.1-ce
API version: 1.38 (minimum version 1.12)
Go version: go1.10.3
Git commit: e68fc7a
Built: Tue Aug 21 17:23:24 2018
OS/Arch: linux/amd64
Experimental: false
环境
CONDA_SHLVL=1
LC_ALL=C.UTF-8
CONDA_EXE=/opt/conda/bin/conda
XDG_CONFIG_HOME=/home/qiime2
LANG=C.UTF-8
CONDA_PREFIX=/opt/conda/envs/qiime2-2018.8
R_LIBS_USER=/opt/conda/envs/qiime2-2018.8/lib/R/library/
TINI_VERSION=v0.16.1
PYTHONNOUSERSITE=/opt/conda/envs/qiime2-2018.8/lib/python*/site-packages/
PWD=/
HOME=/home/qiime2
CONDA_PYTHON_EXE=/opt/conda/bin/python
DEBIAN_FRONTEND=noninteractive
TMPDIR=/tmp_mount/
CONDA_PROMPT_MODIFIER=(qiime2-2018.8)
TERM=xterm
MPLBACKEND=Agg
SHLVL=1
PATH=/opt/conda/envs/qiime2-2018.8/bin:~/miniconda3/bin:/opt/conda/envs/qiime2-2018.8/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
CONDA_DEFAULT_ENV=qiime2-2018.8
_=/usr/bin/env
OLDPWD=/data