我有可以使用sudo docker run -itd -p 50070:50070 -p 8088:8088 --name hadoop-master kiwenlau/hadoop:1.0命令运行的docker容器（Hadoop安装https://github.com/kiwenlau/hadoop-cluster-docker）没有任何问题，但是当尝试将相同的映像部署到kubernetes时，pod无法启动。为了创建部署，我使用kubectl run hadoop-master --image=kiwenlau/hadoop:1.0 --port=8088 --port=50070命令
这里描述pod命令的日志
Events:
FirstSeen LastSeen Count From SubObjectPath Type Reason Message
--------- -------- ----- ---- ------------- -------- ------ -------
6m 6m 1 default-scheduler Normal Scheduled Successfully assigned hadoop-master-2828539450-rnwsd to gke-mtd-cluster-default-pool-6b97d4d0-hcbt
6m 6m 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Created Created container with id 1560ff87e0e7357c76cec89f5f429e0b9b5fc51523c79e4e2c12df1834d7dd75
6m 6m 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Started Started container with id 1560ff87e0e7357c76cec89f5f429e0b9b5fc51523c79e4e2c12df1834d7dd75
6m 6m 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Created Created container with id c939d3336687a33e69d37aa73177e673fd56d766cb499a4235e89d554d233c37
6m 6m 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Started Started container with id c939d3336687a33e69d37aa73177e673fd56d766cb499a4235e89d554d233c37
6m 6m 2 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt Warning FailedSync Error syncing pod, skipping: failed to "StartContainer" for "hadoop-master" with CrashLoopBackOff: "Back-off 10s restarting failed container=hadoop-master pod=hadoop-master-2828539450-rnwsd_default(562dae39-a757-11e7-a5a3-42010a8401c6)"
6m 6m 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Created Created container with id 7d1c67686c039e459ee0ea3936eedb4996a5201f6a1fec02ac98d219bb07745f
6m 6m 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Started Started container with id 7d1c67686c039e459ee0ea3936eedb4996a5201f6a1fec02ac98d219bb07745f
6m 6m 2 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt Warning FailedSync Error syncing pod, skipping: failed to "StartContainer" for "hadoop-master" with CrashLoopBackOff: "Back-off 20s restarting failed container=hadoop-master pod=hadoop-master-2828539450-rnwsd_default(562dae39-a757-11e7-a5a3-42010a8401c6)"
5m 5m 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Started Started container with id a8879a2c794b3e62f788ad56e403cb619644e9219b2c092e760ddeba506b2e44
5m 5m 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Created Created container with id a8879a2c794b3e62f788ad56e403cb619644e9219b2c092e760ddeba506b2e44
5m 5m 3 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt Warning FailedSync Error syncing pod, skipping: failed to "StartContainer" for "hadoop-master" with CrashLoopBackOff: "Back-off 40s restarting failed container=hadoop-master pod=hadoop-master-2828539450-rnwsd_default(562dae39-a757-11e7-a5a3-42010a8401c6)"
5m 5m 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Created Created container with id 8907cdf19c51b87cea6e1e611649e874db2c21f47234df54bd9f27515cee0a0e
5m 5m 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Started Started container with id 8907cdf19c51b87cea6e1e611649e874db2c21f47234df54bd9f27515cee0a0e
5m 3m 7 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt Warning FailedSync Error syncing pod, skipping: failed to "StartContainer" for "hadoop-master" with CrashLoopBackOff: "Back-off 1m20s restarting failed container=hadoop-master pod=hadoop-master-2828539450-rnwsd_default(562dae39-a757-11e7-a5a3-42010a8401c6)"
3m 3m 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Created Created container with id 294072caea596b47324914a235c1882dbc521cc355644a1e25ebf06f0e04301f
3m 3m 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Started Started container with id 294072caea596b47324914a235c1882dbc521cc355644a1e25ebf06f0e04301f
3m 1m 12 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt Warning FailedSync Error syncing pod, skipping: failed to "StartContainer" for "hadoop-master" with CrashLoopBackOff: "Back-off 2m40s restarting failed container=hadoop-master pod=hadoop-master-2828539450-rnwsd_default(562dae39-a757-11e7-a5a3-42010a8401c6)"
6m 50s 7 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Pulled Container image "kiwenlau/hadoop:1.0" already present on machine
50s 50s 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Created Created container with id 7da7508ac864d04d47639b0d2c374a27c3e8a3351e13a2564e57453cf857426d
50s 50s 1 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Normal Started Started container with id 7da7508ac864d04d47639b0d2c374a27c3e8a3351e13a2564e57453cf857426d
6m 0s 31 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt spec.containers{hadoop-master} Warning BackOff Back-off restarting failed container
49s 0s 5 kubelet, gke-mtd-cluster-default-pool-6b97d4d0-hcbt Warning FailedSync Error syncing pod, skipping: failed to "StartContainer" for "hadoop-master" with CrashLoopBackOff: "Back-off 5m0s restarting failed container=hadoop-master pod=hadoop-master-2828539450-rnwsd_default(562dae39-a757-11e7-a5a3-42010a8401c6)"
kubectl日志输出：
kubectl logs hadoop-master-2828539450-rnwsd
* Starting OpenBSD Secure Shell server sshd
...done.
请注意，docker容器本身没有启动hadoop。为了启动它，我必须连接到容器并手动启动hadoop，但是我希望能够在K8s中简单地运行容器。
由于
答案 0 :(得分：1)
kubernetes中的等效命令是
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<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Patients' responses to oral antiplatelet therapy are subject to variation. Bedside monitoring offers the opportunity to improve outcomes after coronary stenting by individualizing therapy.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We randomly assigned 2440 patients scheduled for coronary stenting at 38 centers to a strategy of platelet-function monitoring, with drug adjustment in patients who had a poor response to antiplatelet therapy, or to a conventional strategy without monitoring and drug adjustment. The primary end point was the composite of death, myocardial infarction, stent thrombosis, stroke, or urgent revascularization 1 year after stent implantation. For patients in the monitoring group, the VerifyNow P2Y12 and aspirin point-of-care assays were used in the catheterization laboratory before stent implantation and in the outpatient clinic 2 to 4 weeks later.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">In the monitoring group, high platelet reactivity in patients taking clopidogrel (34.5% of patients) or aspirin (7.6%) led to the administration of an additional bolus of clopidogrel, prasugrel, or aspirin along with glycoprotein IIb/IIIa inhibitors during the procedure. The primary end point occurred in 34.6% of the patients in the monitoring group, as compared with 31.1% of those in the conventional-treatment group (hazard ratio, 1.13; 95% confidence interval [CI], 0.98 to 1.29; P=0.10). The main secondary end point, stent thrombosis or any urgent revascularization, occurred in 4.9% of the patients in the monitoring group and 4.6% of those in the conventional-treatment group (hazard ratio, 1.06; 95% CI, 0.74 to 1.52; P=0.77). The rate of major bleeding events did not differ significantly between groups.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">This study showed no significant improvements in clinical outcomes with platelet-function monitoring and treatment adjustment for coronary stenting, as compared with standard antiplatelet therapy without monitoring. (Funded by Allies in Cardiovascular Trials Initiatives and Organized Networks and others; ARCTIC ClinicalTrials.gov number, NCT00827411.).</AbstractText>
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实际上它并不是关于kubernetes，Dockerfile中有错误。
A docker container exits when its main process finishes.
使用kubectl run -it hadoop-master --image=kiwenlau/hadoop:1.0 --port=8088 --port=50070
，SSH服务在后台启动，之后容器在作业完成时停止。
它应该是一个在前台运行的可执行脚本/程序，如CMD [ "sh", "-c", "service ssh start; bash"]。
仅供参考，通常我们不需要ssh到容器，因为~/start-hadoop.sh应该足够了。