我是Docker的新手，所以很可能我缺少一些东西。

我正在使用Elasticsearch使用此图像运行容器。

我能够正确设置所有内容。之后，我使用的是一个由同事开发的脚本，用于插入一些数据，基本上是查询MySQL数据库并发出HTTP请求。

问题是，这些请求中的许多请求都会卡住，直到失败。如果netstat -tn | grep 9200我知道了：

tcp6       0      0 ::1:58436               ::1:9200                TIME_WAIT  
tcp6       0      0 ::1:59274               ::1:9200                TIME_WAIT

...
tcp6       0      0 ::1:58436               ::1:9200                TIME_WAIT  
tcp6       0      0 ::1:59274               ::1:9200                TIME_WAIT

有很多要求。在这一点上，我不确定这是否与elasticsearch或泊坞窗有关。如果在我的计算机上安装了Elasticsearch，则不会发生这种情况。

一些信息：

$ docker version
Client version: 1.6.2
Client API version: 1.18
Go version (client): go1.4.2
Git commit (client): 7c8fca2
OS/Arch (client): linux/amd64
Server version: 1.6.2
Server API version: 1.18
Go version (server): go1.4.2
Git commit (server): 7c8fca2
OS/Arch (server): linux/amd64

$ docker info
Containers: 6
Images: 103
Storage Driver: devicemapper
 Pool Name: docker-252:1-9188072-pool
 Pool Blocksize: 65.54 kB
 Backing Filesystem: extfs
 Data file: /dev/loop0
 Metadata file: /dev/loop1
 Data Space Used: 4.255 GB
 Data Space Total: 107.4 GB
 Data Space Available: 103.1 GB
 Metadata Space Used: 6.758 MB
 Metadata Space Total: 2.147 GB
 Metadata Space Available: 2.141 GB
 Udev Sync Supported: false
 Data loop file: /var/lib/docker/devicemapper/devicemapper/data
 Metadata loop file: /var/lib/docker/devicemapper/devicemapper/metadata
 Library Version: 1.02.82-git (2013-10-04)
Execution Driver: native-0.2
Kernel Version: 3.14.22-031422-generic
Operating System: Ubuntu 14.04.2 LTS
CPUs: 4
Total Memory: 15.37 GiB

$ docker logs elasticsearch
[2015-06-15 09:10:33,761][INFO ][node                     ] [Energizer] version[1.6.0], pid[1], build[cdd3ac4/2015-06-09T13:36:34Z]
[2015-06-15 09:10:33,762][INFO ][node                     ] [Energizer] initializing ...
[2015-06-15 09:10:33,766][INFO ][plugins                  ] [Energizer] loaded [], sites []
[2015-06-15 09:10:33,792][INFO ][env                      ] [Energizer] using [1] data paths, mounts [[/usr/share/elasticsearch/data (/dev/mapper/ubuntu--vg-root)]], net usable_space [145.3gb], net total_space [204.3gb], types [ext4]
[2015-06-15 09:10:35,516][INFO ][node                     ] [Energizer] initialized
[2015-06-15 09:10:35,516][INFO ][node                     ] [Energizer] starting ...
[2015-06-15 09:10:35,642][INFO ][transport                ] [Energizer] bound_address {inet[/0:0:0:0:0:0:0:0:9300]}, publish_address {inet[/172.17.0.5:9300]}
[2015-06-15 09:10:35,657][INFO ][discovery                ] [Energizer] elasticsearch/Y1zfiri4QO21zRhcI-bTXA
[2015-06-15 09:10:39,426][INFO ][cluster.service          ] [Energizer] new_master [Energizer][Y1zfiri4QO21zRhcI-bTXA][76dea3e6d424][inet[/172.17.0.5:9300]], reason: zen-disco-join (elected_as_master)
[2015-06-15 09:10:39,446][INFO ][http                     ] [Energizer] bound_address {inet[/0:0:0:0:0:0:0:0:9200]}, publish_address {inet[/172.17.0.5:9200]}
[2015-06-15 09:10:39,446][INFO ][node                     ] [Energizer] started
[2015-06-15 09:10:39,479][INFO ][gateway                  ] [Energizer] recovered [0] indices into cluster_state

脚本的重要部分：

for package in c.fetchall():
    id_package, tracking_number, order_number, payment_info, shipment_provider_name, package_status_name=package
    el['tracking_number'] = tracking_number
    el['order_number'] = order_number
    el['payment_info'] = payment_info
    el['shipment_provider_name'] = shipment_provider_name
    el['package_status_name'] = package_status_name

    requests.put("http://localhost:9200/packages/package/%s/_create"%(id_package), json=el)