[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16224272#comment-16224272
]
Wangda Tan commented on YARN-7224:
--
Thanks [~sunilg] for review and commit!
> Support GPU isolation for docker container
> --
>
> Key: YARN-7224
> URL: https://issues.apache.org/jira/browse/YARN-7224
> Project: Hadoop YARN
> Issue Type: Sub-task
>Reporter: Wangda Tan
>Assignee: Wangda Tan
> Fix For: 3.1.0
>
> Attachments: YARN-7224.001.patch, YARN-7224.002-wip.patch,
> YARN-7224.003.patch, YARN-7224.004.patch, YARN-7224.005.patch,
> YARN-7224.006.patch, YARN-7224.007.patch, YARN-7224.008.patch,
> YARN-7224.009.patch
>
>
> This patch is to address issues when docker container is being used:
> 1. GPU driver and nvidia libraries: If GPU drivers and NV libraries are
> pre-packaged inside docker image, it could conflict to driver and
> nvidia-libraries installed on Host OS. An alternative solution is to detect
> Host OS's installed drivers and devices, mount it when launch docker
> container. Please refer to \[1\] for more details.
> 2. Image detection:
> From \[2\], the challenge is:
> bq. Mounting user-level driver libraries and device files clobbers the
> environment of the container, it should be done only when the container is
> running a GPU application. The challenge here is to determine if a given
> image will be using the GPU or not. We should also prevent launching
> containers based on a Docker image that is incompatible with the host NVIDIA
> driver version, you can find more details on this wiki page.
> 3. GPU isolation.
> *Proposed solution*:
> a. Use nvidia-docker-plugin \[3\] to address issue #1, this is the same
> solution used by K8S \[4\]. issue #2 could be addressed in a separate JIRA.
> We won't ship nvidia-docker-plugin with out releases and we require cluster
> admin to preinstall nvidia-docker-plugin to use GPU+docker support on YARN.
> "nvidia-docker" is a wrapper of docker binary which can address #3 as well,
> however "nvidia-docker" doesn't provide same semantics of docker, and it
> needs to setup additional environments such as PATH/LD_LIBRARY_PATH to use
> it. To avoid introducing additional issues, we plan to use
> nvidia-docker-plugin + docker binary approach.
> b. To address GPU driver and nvidia libraries, we uses nvidia-docker-plugin
> \[3\] to create a volume which includes GPU-related libraries and mount it
> when docker container being launched. Changes include:
> - Instead of using {{volume-driver}}, this patch added {{docker volume
> create}} command to c-e and NM Java side. The reason is {{volume-driver}} can
> only use single volume driver for each launched docker container.
> - Updated {{c-e}} and Java side, if a mounted volume is a named volume in
> docker, skip checking file existence. (Named-volume still need to be added to
> permitted list of container-executor.cfg).
> c. To address isolation issue:
> We found that, cgroup + docker doesn't work under newer docker version which
> uses {{runc}} as default runtime. Setting {{--cgroup-parent}} to a cgroup
> which include any {{devices.deny}} causes docker container cannot be launched.
> Instead this patch passes allowed GPU devices via {{--device}} to docker
> launch command.
> References:
> \[1\] https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-driver
> \[2\] https://github.com/NVIDIA/nvidia-docker/wiki/Image-inspection
> \[3\] https://github.com/NVIDIA/nvidia-docker/wiki/nvidia-docker-plugin
> \[4\] https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/
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[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[ https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16223861#comment-16223861 ] Hudson commented on YARN-7224: -- SUCCESS: Integrated in Jenkins build Hadoop-trunk-Commit #13157 (See [https://builds.apache.org/job/Hadoop-trunk-Commit/13157/]) YARN-7224. Support GPU isolation for docker container. Contributed by (sunilg: rev 9114d7a5a0159bbe70e9c289dbe1fc5db9101db5) * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-common/src/main/resources/yarn-default.xml * (edit) hadoop-yarn-project/hadoop-yarn/conf/container-executor.cfg * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/resourceplugin/gpu/GpuResourcePlugin.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/linux/runtime/DefaultLinuxContainerRuntime.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/linux/resources/gpu/GpuResourceHandlerImpl.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/linux/runtime/docker/TestDockerCommandExecutor.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/linux/runtime/LinuxContainerRuntime.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/java/org/apache/hadoop/yarn/server/nodemanager/TestLinuxContainerExecutorWithMocks.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/linux/runtime/JavaSandboxLinuxContainerRuntime.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/recovery/NMStateStoreService.java * (add) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/resourceplugin/gpu/NvidiaDockerV1CommandPlugin.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/linux/runtime/TestJavaSandboxLinuxContainerRuntime.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-api/src/main/java/org/apache/hadoop/yarn/conf/YarnConfiguration.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/linux/runtime/DelegatingLinuxContainerRuntime.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/recovery/NMLeveldbStateStoreService.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/native/container-executor/test/utils/test_docker_util.cc * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/TestContainerManagerRecovery.java * (add) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/linux/runtime/docker/TestDockerVolumeCommand.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/resourceplugin/ResourcePlugin.java * (add) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/resourceplugin/gpu/GpuDockerCommandPluginFactory.java * (add) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/resourceplugin/DockerCommandPlugin.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/main/java/org/apache/hadoop/yarn/server/nodemanager/containermanager/linux/runtime/DockerLinuxContainerRuntime.java * (edit) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/java/org/apache/hadoop/yarn/server/nodemanager/recovery/TestNMLeveldbStateStoreService.java * (add) hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager/src/test/java/org/apache/hadoop/yarn/serve
[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16223823#comment-16223823
]
Sunil G commented on YARN-7224:
---
Committing shortly.
> Support GPU isolation for docker container
> --
>
> Key: YARN-7224
> URL: https://issues.apache.org/jira/browse/YARN-7224
> Project: Hadoop YARN
> Issue Type: Sub-task
>Reporter: Wangda Tan
>Assignee: Wangda Tan
> Attachments: YARN-7224.001.patch, YARN-7224.002-wip.patch,
> YARN-7224.003.patch, YARN-7224.004.patch, YARN-7224.005.patch,
> YARN-7224.006.patch, YARN-7224.007.patch, YARN-7224.008.patch,
> YARN-7224.009.patch
>
>
> This patch is to address issues when docker container is being used:
> 1. GPU driver and nvidia libraries: If GPU drivers and NV libraries are
> pre-packaged inside docker image, it could conflict to driver and
> nvidia-libraries installed on Host OS. An alternative solution is to detect
> Host OS's installed drivers and devices, mount it when launch docker
> container. Please refer to \[1\] for more details.
> 2. Image detection:
> From \[2\], the challenge is:
> bq. Mounting user-level driver libraries and device files clobbers the
> environment of the container, it should be done only when the container is
> running a GPU application. The challenge here is to determine if a given
> image will be using the GPU or not. We should also prevent launching
> containers based on a Docker image that is incompatible with the host NVIDIA
> driver version, you can find more details on this wiki page.
> 3. GPU isolation.
> *Proposed solution*:
> a. Use nvidia-docker-plugin \[3\] to address issue #1, this is the same
> solution used by K8S \[4\]. issue #2 could be addressed in a separate JIRA.
> We won't ship nvidia-docker-plugin with out releases and we require cluster
> admin to preinstall nvidia-docker-plugin to use GPU+docker support on YARN.
> "nvidia-docker" is a wrapper of docker binary which can address #3 as well,
> however "nvidia-docker" doesn't provide same semantics of docker, and it
> needs to setup additional environments such as PATH/LD_LIBRARY_PATH to use
> it. To avoid introducing additional issues, we plan to use
> nvidia-docker-plugin + docker binary approach.
> b. To address GPU driver and nvidia libraries, we uses nvidia-docker-plugin
> \[3\] to create a volume which includes GPU-related libraries and mount it
> when docker container being launched. Changes include:
> - Instead of using {{volume-driver}}, this patch added {{docker volume
> create}} command to c-e and NM Java side. The reason is {{volume-driver}} can
> only use single volume driver for each launched docker container.
> - Updated {{c-e}} and Java side, if a mounted volume is a named volume in
> docker, skip checking file existence. (Named-volume still need to be added to
> permitted list of container-executor.cfg).
> c. To address isolation issue:
> We found that, cgroup + docker doesn't work under newer docker version which
> uses {{runc}} as default runtime. Setting {{--cgroup-parent}} to a cgroup
> which include any {{devices.deny}} causes docker container cannot be launched.
> Instead this patch passes allowed GPU devices via {{--device}} to docker
> launch command.
> References:
> \[1\] https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-driver
> \[2\] https://github.com/NVIDIA/nvidia-docker/wiki/Image-inspection
> \[3\] https://github.com/NVIDIA/nvidia-docker/wiki/nvidia-docker-plugin
> \[4\] https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/
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[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16223175#comment-16223175
]
Sunil G commented on YARN-7224:
---
Test cases/ASF license are not related. Generally latest patch seems fine. +1.
Committing later today if there are no objections.
> Support GPU isolation for docker container
> --
>
> Key: YARN-7224
> URL: https://issues.apache.org/jira/browse/YARN-7224
> Project: Hadoop YARN
> Issue Type: Sub-task
>Reporter: Wangda Tan
>Assignee: Wangda Tan
> Attachments: YARN-7224.001.patch, YARN-7224.002-wip.patch,
> YARN-7224.003.patch, YARN-7224.004.patch, YARN-7224.005.patch,
> YARN-7224.006.patch, YARN-7224.007.patch, YARN-7224.008.patch,
> YARN-7224.009.patch
>
>
> This patch is to address issues when docker container is being used:
> 1. GPU driver and nvidia libraries: If GPU drivers and NV libraries are
> pre-packaged inside docker image, it could conflict to driver and
> nvidia-libraries installed on Host OS. An alternative solution is to detect
> Host OS's installed drivers and devices, mount it when launch docker
> container. Please refer to \[1\] for more details.
> 2. Image detection:
> From \[2\], the challenge is:
> bq. Mounting user-level driver libraries and device files clobbers the
> environment of the container, it should be done only when the container is
> running a GPU application. The challenge here is to determine if a given
> image will be using the GPU or not. We should also prevent launching
> containers based on a Docker image that is incompatible with the host NVIDIA
> driver version, you can find more details on this wiki page.
> 3. GPU isolation.
> *Proposed solution*:
> a. Use nvidia-docker-plugin \[3\] to address issue #1, this is the same
> solution used by K8S \[4\]. issue #2 could be addressed in a separate JIRA.
> We won't ship nvidia-docker-plugin with out releases and we require cluster
> admin to preinstall nvidia-docker-plugin to use GPU+docker support on YARN.
> "nvidia-docker" is a wrapper of docker binary which can address #3 as well,
> however "nvidia-docker" doesn't provide same semantics of docker, and it
> needs to setup additional environments such as PATH/LD_LIBRARY_PATH to use
> it. To avoid introducing additional issues, we plan to use
> nvidia-docker-plugin + docker binary approach.
> b. To address GPU driver and nvidia libraries, we uses nvidia-docker-plugin
> \[3\] to create a volume which includes GPU-related libraries and mount it
> when docker container being launched. Changes include:
> - Instead of using {{volume-driver}}, this patch added {{docker volume
> create}} command to c-e and NM Java side. The reason is {{volume-driver}} can
> only use single volume driver for each launched docker container.
> - Updated {{c-e}} and Java side, if a mounted volume is a named volume in
> docker, skip checking file existence. (Named-volume still need to be added to
> permitted list of container-executor.cfg).
> c. To address isolation issue:
> We found that, cgroup + docker doesn't work under newer docker version which
> uses {{runc}} as default runtime. Setting {{--cgroup-parent}} to a cgroup
> which include any {{devices.deny}} causes docker container cannot be launched.
> Instead this patch passes allowed GPU devices via {{--device}} to docker
> launch command.
> References:
> \[1\] https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-driver
> \[2\] https://github.com/NVIDIA/nvidia-docker/wiki/Image-inspection
> \[3\] https://github.com/NVIDIA/nvidia-docker/wiki/nvidia-docker-plugin
> \[4\] https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/
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[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16223079#comment-16223079
]
Hadoop QA commented on YARN-7224:
-
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 15m
2s{color} | {color:blue} Docker mode activated. {color} |
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m
0s{color} | {color:green} The patch appears to include 13 new or modified test
files. {color} |
|| || || || {color:brown} trunk Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
13s{color} | {color:blue} Maven dependency ordering for branch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 14m
45s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 8m
54s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 1m
1s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 4m
59s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
14m 35s{color} | {color:green} branch has no errors when building and testing
our client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 3m
38s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 3m
39s{color} | {color:green} trunk passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
10s{color} | {color:blue} Maven dependency ordering for patch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 4m
44s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 6m
41s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} cc {color} | {color:green} 6m
41s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 6m
41s{color} | {color:green} the patch passed {color} |
| {color:orange}-0{color} | {color:orange} checkstyle {color} | {color:orange}
0m 59s{color} | {color:orange} hadoop-yarn-project/hadoop-yarn: The patch
generated 40 new + 391 unchanged - 11 fixed = 431 total (was 402) {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 4m
35s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} whitespace {color} | {color:green} 0m
1s{color} | {color:green} The patch has no whitespace issues. {color} |
| {color:green}+1{color} | {color:green} xml {color} | {color:green} 0m
1s{color} | {color:green} The patch has no ill-formed XML file. {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
9m 25s{color} | {color:green} patch has no errors when building and testing our
client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 4m
2s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 3m
50s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:red}-1{color} | {color:red} unit {color} | {color:red}108m 24s{color}
| {color:red} hadoop-yarn in the patch failed. {color} |
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 0m
59s{color} | {color:green} hadoop-yarn-api in the patch passed. {color} |
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 3m
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| {color:red}-1{color} | {color:red} unit {color} | {color:red} 19m 36s{color}
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| {color:red}-1{color} | {color:red} asflicense {color} | {color:red} 0m
39s{color} | {color:red} The patch g
[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16222140#comment-16222140
]
Sunil G commented on YARN-7224:
---
Thanks [~leftnoteasy] for the patch.
Generally I am fine with the patch. Some more minor nits and suggestions.
# Could we print {{nvidia-docker-plugin -v}} some where from c-e or java side
to dump version info. Helpful for debugging later.
# In {{GpuResourceHandlerImpl}}, {{usableGpus}} could be empty also. Its better
to handle this case also.
# In {{DockerLinuxContainerRuntime#runDockerVolumeCommand}}, pls add container
id also along with docker command logging.
Once this is done, I think we are good to get this patch in.
> Support GPU isolation for docker container
> --
>
> Key: YARN-7224
> URL: https://issues.apache.org/jira/browse/YARN-7224
> Project: Hadoop YARN
> Issue Type: Sub-task
>Reporter: Wangda Tan
>Assignee: Wangda Tan
> Attachments: YARN-7224.001.patch, YARN-7224.002-wip.patch,
> YARN-7224.003.patch, YARN-7224.004.patch, YARN-7224.005.patch,
> YARN-7224.006.patch, YARN-7224.007.patch, YARN-7224.008.patch
>
>
> This patch is to address issues when docker container is being used:
> 1. GPU driver and nvidia libraries: If GPU drivers and NV libraries are
> pre-packaged inside docker image, it could conflict to driver and
> nvidia-libraries installed on Host OS. An alternative solution is to detect
> Host OS's installed drivers and devices, mount it when launch docker
> container. Please refer to \[1\] for more details.
> 2. Image detection:
> From \[2\], the challenge is:
> bq. Mounting user-level driver libraries and device files clobbers the
> environment of the container, it should be done only when the container is
> running a GPU application. The challenge here is to determine if a given
> image will be using the GPU or not. We should also prevent launching
> containers based on a Docker image that is incompatible with the host NVIDIA
> driver version, you can find more details on this wiki page.
> 3. GPU isolation.
> *Proposed solution*:
> a. Use nvidia-docker-plugin \[3\] to address issue #1, this is the same
> solution used by K8S \[4\]. issue #2 could be addressed in a separate JIRA.
> We won't ship nvidia-docker-plugin with out releases and we require cluster
> admin to preinstall nvidia-docker-plugin to use GPU+docker support on YARN.
> "nvidia-docker" is a wrapper of docker binary which can address #3 as well,
> however "nvidia-docker" doesn't provide same semantics of docker, and it
> needs to setup additional environments such as PATH/LD_LIBRARY_PATH to use
> it. To avoid introducing additional issues, we plan to use
> nvidia-docker-plugin + docker binary approach.
> b. To address GPU driver and nvidia libraries, we uses nvidia-docker-plugin
> \[3\] to create a volume which includes GPU-related libraries and mount it
> when docker container being launched. Changes include:
> - Instead of using {{volume-driver}}, this patch added {{docker volume
> create}} command to c-e and NM Java side. The reason is {{volume-driver}} can
> only use single volume driver for each launched docker container.
> - Updated {{c-e}} and Java side, if a mounted volume is a named volume in
> docker, skip checking file existence. (Named-volume still need to be added to
> permitted list of container-executor.cfg).
> c. To address isolation issue:
> We found that, cgroup + docker doesn't work under newer docker version which
> uses {{runc}} as default runtime. Setting {{--cgroup-parent}} to a cgroup
> which include any {{devices.deny}} causes docker container cannot be launched.
> Instead this patch passes allowed GPU devices via {{--device}} to docker
> launch command.
> References:
> \[1\] https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-driver
> \[2\] https://github.com/NVIDIA/nvidia-docker/wiki/Image-inspection
> \[3\] https://github.com/NVIDIA/nvidia-docker/wiki/nvidia-docker-plugin
> \[4\] https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/
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[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16221526#comment-16221526
]
Hadoop QA commented on YARN-7224:
-
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
41s{color} | {color:blue} Docker mode activated. {color} |
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m
0s{color} | {color:green} The patch appears to include 13 new or modified test
files. {color} |
|| || || || {color:brown} trunk Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
8s{color} | {color:blue} Maven dependency ordering for branch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 14m
7s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 7m
32s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 1m
1s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 5m
20s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
14m 51s{color} | {color:green} branch has no errors when building and testing
our client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 2m
48s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 2m
42s{color} | {color:green} trunk passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
10s{color} | {color:blue} Maven dependency ordering for patch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 3m
50s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 5m
35s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} cc {color} | {color:green} 5m
35s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 5m
35s{color} | {color:green} the patch passed {color} |
| {color:orange}-0{color} | {color:orange} checkstyle {color} | {color:orange}
0m 52s{color} | {color:orange} hadoop-yarn-project/hadoop-yarn: The patch
generated 39 new + 388 unchanged - 11 fixed = 427 total (was 399) {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 4m
5s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} whitespace {color} | {color:green} 0m
0s{color} | {color:green} The patch has no whitespace issues. {color} |
| {color:green}+1{color} | {color:green} xml {color} | {color:green} 0m
1s{color} | {color:green} The patch has no ill-formed XML file. {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
9m 0s{color} | {color:green} patch has no errors when building and testing our
client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 3m
5s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 2m
34s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 84m 50s{color}
| {color:red} hadoop-yarn in the patch failed. {color} |
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 0m
34s{color} | {color:green} hadoop-yarn-api in the patch passed. {color} |
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 2m
36s{color} | {color:green} hadoop-yarn-common in the patch passed. {color} |
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 16m 0s{color}
| {color:red} hadoop-yarn-server-nodemanager in the patch failed. {color} |
| {color:green}+1{color} | {color:green} asflicense {color} | {color:green} 0m
25s{color} | {color:green} The
[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16221198#comment-16221198
]
Wangda Tan commented on YARN-7224:
--
Failed unit tests are not related to this patch, TestNodeStatusUpdater failure
is related to YARN-7320. And deploy the latest patch on GPU cluster, ran
Tensorflow via distributed shell job which requests GPU, didn't see any issue.
> Support GPU isolation for docker container
> --
>
> Key: YARN-7224
> URL: https://issues.apache.org/jira/browse/YARN-7224
> Project: Hadoop YARN
> Issue Type: Sub-task
>Reporter: Wangda Tan
>Assignee: Wangda Tan
> Attachments: YARN-7224.001.patch, YARN-7224.002-wip.patch,
> YARN-7224.003.patch, YARN-7224.004.patch, YARN-7224.005.patch,
> YARN-7224.006.patch, YARN-7224.007.patch, YARN-7224.008.patch
>
>
> This patch is to address issues when docker container is being used:
> 1. GPU driver and nvidia libraries: If GPU drivers and NV libraries are
> pre-packaged inside docker image, it could conflict to driver and
> nvidia-libraries installed on Host OS. An alternative solution is to detect
> Host OS's installed drivers and devices, mount it when launch docker
> container. Please refer to \[1\] for more details.
> 2. Image detection:
> From \[2\], the challenge is:
> bq. Mounting user-level driver libraries and device files clobbers the
> environment of the container, it should be done only when the container is
> running a GPU application. The challenge here is to determine if a given
> image will be using the GPU or not. We should also prevent launching
> containers based on a Docker image that is incompatible with the host NVIDIA
> driver version, you can find more details on this wiki page.
> 3. GPU isolation.
> *Proposed solution*:
> a. Use nvidia-docker-plugin \[3\] to address issue #1, this is the same
> solution used by K8S \[4\]. issue #2 could be addressed in a separate JIRA.
> We won't ship nvidia-docker-plugin with out releases and we require cluster
> admin to preinstall nvidia-docker-plugin to use GPU+docker support on YARN.
> "nvidia-docker" is a wrapper of docker binary which can address #3 as well,
> however "nvidia-docker" doesn't provide same semantics of docker, and it
> needs to setup additional environments such as PATH/LD_LIBRARY_PATH to use
> it. To avoid introducing additional issues, we plan to use
> nvidia-docker-plugin + docker binary approach.
> b. To address GPU driver and nvidia libraries, we uses nvidia-docker-plugin
> \[3\] to create a volume which includes GPU-related libraries and mount it
> when docker container being launched. Changes include:
> - Instead of using {{volume-driver}}, this patch added {{docker volume
> create}} command to c-e and NM Java side. The reason is {{volume-driver}} can
> only use single volume driver for each launched docker container.
> - Updated {{c-e}} and Java side, if a mounted volume is a named volume in
> docker, skip checking file existence. (Named-volume still need to be added to
> permitted list of container-executor.cfg).
> c. To address isolation issue:
> We found that, cgroup + docker doesn't work under newer docker version which
> uses {{runc}} as default runtime. Setting {{--cgroup-parent}} to a cgroup
> which include any {{devices.deny}} causes docker container cannot be launched.
> Instead this patch passes allowed GPU devices via {{--device}} to docker
> launch command.
> References:
> \[1\] https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-driver
> \[2\] https://github.com/NVIDIA/nvidia-docker/wiki/Image-inspection
> \[3\] https://github.com/NVIDIA/nvidia-docker/wiki/nvidia-docker-plugin
> \[4\] https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/
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[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16221186#comment-16221186
]
Hadoop QA commented on YARN-7224:
-
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 9m
23s{color} | {color:blue} Docker mode activated. {color} |
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m
0s{color} | {color:green} The patch appears to include 13 new or modified test
files. {color} |
|| || || || {color:brown} trunk Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
46s{color} | {color:blue} Maven dependency ordering for branch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 14m
18s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 6m
45s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 1m
2s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 5m
5s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
15m 21s{color} | {color:green} branch has no errors when building and testing
our client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 3m
24s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 3m
17s{color} | {color:green} trunk passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
11s{color} | {color:blue} Maven dependency ordering for patch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 4m
27s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 6m
20s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} cc {color} | {color:green} 6m
20s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 6m
20s{color} | {color:green} the patch passed {color} |
| {color:orange}-0{color} | {color:orange} checkstyle {color} | {color:orange}
1m 1s{color} | {color:orange} hadoop-yarn-project/hadoop-yarn: The patch
generated 40 new + 387 unchanged - 12 fixed = 427 total (was 399) {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 4m
56s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} whitespace {color} | {color:green} 0m
0s{color} | {color:green} The patch has no whitespace issues. {color} |
| {color:green}+1{color} | {color:green} xml {color} | {color:green} 0m
1s{color} | {color:green} The patch has no ill-formed XML file. {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
9m 52s{color} | {color:green} patch has no errors when building and testing our
client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 3m
58s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 3m
2s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 78m 53s{color}
| {color:red} hadoop-yarn in the patch failed. {color} |
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 0m
37s{color} | {color:green} hadoop-yarn-api in the patch passed. {color} |
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 2m
37s{color} | {color:green} hadoop-yarn-common in the patch passed. {color} |
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 15m 59s{color}
| {color:red} hadoop-yarn-server-nodemanager in the patch failed. {color} |
| {color:green}+1{color} | {color:green} asflicense {color} | {color:green} 0m
32s{color} | {color:green} The
[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16219840#comment-16219840
]
Sunil G commented on YARN-7224:
---
bq.In general dockerCommandPlugin.updateDockerRunCommand helps to update docker
command for volume etc. However is its better to have an api named
sanitize/verifyCommand in dockerCommandPlugin so that incoming/created command
will validated and logged based on system parameters
My point was to have a new api named sanitize/verifyCommand in
{{DockerCommandPlugin}} along with updateDockerRunCommand. So all validations
will be in a cleaner interface and need not have to much depend on updates etc.
bq.I like this ideal, but considering size of this patch, can we do this in a
follow up JIRA?
Yes, you are correct. Could be a follow-up jira.
> Support GPU isolation for docker container
> --
>
> Key: YARN-7224
> URL: https://issues.apache.org/jira/browse/YARN-7224
> Project: Hadoop YARN
> Issue Type: Sub-task
>Reporter: Wangda Tan
>Assignee: Wangda Tan
> Attachments: YARN-7224.001.patch, YARN-7224.002-wip.patch,
> YARN-7224.003.patch, YARN-7224.004.patch, YARN-7224.005.patch,
> YARN-7224.006.patch, YARN-7224.007.patch, YARN-7224.008.patch
>
>
> This patch is to address issues when docker container is being used:
> 1. GPU driver and nvidia libraries: If GPU drivers and NV libraries are
> pre-packaged inside docker image, it could conflict to driver and
> nvidia-libraries installed on Host OS. An alternative solution is to detect
> Host OS's installed drivers and devices, mount it when launch docker
> container. Please refer to \[1\] for more details.
> 2. Image detection:
> From \[2\], the challenge is:
> bq. Mounting user-level driver libraries and device files clobbers the
> environment of the container, it should be done only when the container is
> running a GPU application. The challenge here is to determine if a given
> image will be using the GPU or not. We should also prevent launching
> containers based on a Docker image that is incompatible with the host NVIDIA
> driver version, you can find more details on this wiki page.
> 3. GPU isolation.
> *Proposed solution*:
> a. Use nvidia-docker-plugin \[3\] to address issue #1, this is the same
> solution used by K8S \[4\]. issue #2 could be addressed in a separate JIRA.
> We won't ship nvidia-docker-plugin with out releases and we require cluster
> admin to preinstall nvidia-docker-plugin to use GPU+docker support on YARN.
> "nvidia-docker" is a wrapper of docker binary which can address #3 as well,
> however "nvidia-docker" doesn't provide same semantics of docker, and it
> needs to setup additional environments such as PATH/LD_LIBRARY_PATH to use
> it. To avoid introducing additional issues, we plan to use
> nvidia-docker-plugin + docker binary approach.
> b. To address GPU driver and nvidia libraries, we uses nvidia-docker-plugin
> \[3\] to create a volume which includes GPU-related libraries and mount it
> when docker container being launched. Changes include:
> - Instead of using {{volume-driver}}, this patch added {{docker volume
> create}} command to c-e and NM Java side. The reason is {{volume-driver}} can
> only use single volume driver for each launched docker container.
> - Updated {{c-e}} and Java side, if a mounted volume is a named volume in
> docker, skip checking file existence. (Named-volume still need to be added to
> permitted list of container-executor.cfg).
> c. To address isolation issue:
> We found that, cgroup + docker doesn't work under newer docker version which
> uses {{runc}} as default runtime. Setting {{--cgroup-parent}} to a cgroup
> which include any {{devices.deny}} causes docker container cannot be launched.
> Instead this patch passes allowed GPU devices via {{--device}} to docker
> launch command.
> References:
> \[1\] https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-driver
> \[2\] https://github.com/NVIDIA/nvidia-docker/wiki/Image-inspection
> \[3\] https://github.com/NVIDIA/nvidia-docker/wiki/nvidia-docker-plugin
> \[4\] https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/
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[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16218686#comment-16218686
]
Sunil G commented on YARN-7224:
---
Thanks [~leftnoteasy]. Few more comments
# Javadoc is missing in {{GpuResourceAllocator#getRequestedGpus}}
# In {{assignGpus}}, do we also need to update the assigned gpus to container's
resource mapping list ?
# In {{DockerLinuxContainerRuntime#prepareContainer}}, it ll be better to log
docker command in exception block as well.
# In general {{dockerCommandPlugin.updateDockerRunCommand}} helps to update
docker command for volume etc. However is its better to have an api named
sanitize/verifyCommand in dockerCommandPlugin so that incoming/created command
will validated and logged based on system parameters
# Once a docker volume is created, when this volume will be cleaned or
unmounted ? in case when container crashes or force stopping container from
external docker commands etc
# With container upgrades or partially using GPU device for a timeslice of
container lifetime, how volumes could be mounted/re-mounted ?
# In {{GpuDevice}}, do we also need to add *make* (like nvidia with version etc
? )
# {{GpuDockerCommandPluginFactory}} looks good. A cleaner for any GPU makes.
# In {{initializeWhenGpuRequested}}, we do a lazy initialization. However if
docker end point is down(default port), this could cause delay in container
launch. Do we need a health mechanism to get this data updated ?
# In {{value_permitted}} of docker-util.c, its better to use strncmp.
# Once docker volume is created, its better to dump the {{docker volume
inspect}} o/p on created volume. Could help for debugging later.
#
> Support GPU isolation for docker container
> --
>
> Key: YARN-7224
> URL: https://issues.apache.org/jira/browse/YARN-7224
> Project: Hadoop YARN
> Issue Type: Sub-task
>Reporter: Wangda Tan
>Assignee: Wangda Tan
> Attachments: YARN-7224.001.patch, YARN-7224.002-wip.patch,
> YARN-7224.003.patch, YARN-7224.004.patch, YARN-7224.005.patch,
> YARN-7224.006.patch, YARN-7224.007.patch
>
>
> This patch is to address issues when docker container is being used:
> 1. GPU driver and nvidia libraries: If GPU drivers and NV libraries are
> pre-packaged inside docker image, it could conflict to driver and
> nvidia-libraries installed on Host OS. An alternative solution is to detect
> Host OS's installed drivers and devices, mount it when launch docker
> container. Please refer to \[1\] for more details.
> 2. Image detection:
> From \[2\], the challenge is:
> bq. Mounting user-level driver libraries and device files clobbers the
> environment of the container, it should be done only when the container is
> running a GPU application. The challenge here is to determine if a given
> image will be using the GPU or not. We should also prevent launching
> containers based on a Docker image that is incompatible with the host NVIDIA
> driver version, you can find more details on this wiki page.
> 3. GPU isolation.
> *Proposed solution*:
> a. Use nvidia-docker-plugin \[3\] to address issue #1, this is the same
> solution used by K8S \[4\]. issue #2 could be addressed in a separate JIRA.
> We won't ship nvidia-docker-plugin with out releases and we require cluster
> admin to preinstall nvidia-docker-plugin to use GPU+docker support on YARN.
> "nvidia-docker" is a wrapper of docker binary which can address #3 as well,
> however "nvidia-docker" doesn't provide same semantics of docker, and it
> needs to setup additional environments such as PATH/LD_LIBRARY_PATH to use
> it. To avoid introducing additional issues, we plan to use
> nvidia-docker-plugin + docker binary approach.
> b. To address GPU driver and nvidia libraries, we uses nvidia-docker-plugin
> \[3\] to create a volume which includes GPU-related libraries and mount it
> when docker container being launched. Changes include:
> - Instead of using {{volume-driver}}, this patch added {{docker volume
> create}} command to c-e and NM Java side. The reason is {{volume-driver}} can
> only use single volume driver for each launched docker container.
> - Updated {{c-e}} and Java side, if a mounted volume is a named volume in
> docker, skip checking file existence. (Named-volume still need to be added to
> permitted list of container-executor.cfg).
> c. To address isolation issue:
> We found that, cgroup + docker doesn't work under newer docker version which
> uses {{runc}} as default runtime. Setting {{--cgroup-parent}} to a cgroup
> which include any {{devices.deny}} causes docker container cannot be launched.
> Instead this patch passes allowed GPU devices via {{--device}} to docker
> launch command.
> References:
> \[1\] https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-driver
> \[2\] htt
[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16218199#comment-16218199
]
Hadoop QA commented on YARN-7224:
-
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| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m
0s{color} | {color:green} The patch appears to include 13 new or modified test
files. {color} |
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1m 47s{color} | {color:orange} hadoop-yarn-project/hadoop-yarn: The patch
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[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16217868#comment-16217868
]
Hadoop QA commented on YARN-7224:
-
| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
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|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m
0s{color} | {color:green} The patch appears to include 13 new or modified test
files. {color} |
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| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
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[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16217506#comment-16217506
]
Wangda Tan commented on YARN-7224:
--
Thanks [~sunilg] for reviewing the patch,
For major comments:
#1/#3, I think it's better to make GPU-Docker implementation can be
configurable, at least we can easily add new implementations in the future
without worrying about break backward compatibility, etc. I added new config
for this setting (see yarn-default.xml) and rename existing implementation to
NvidiaDockerV1... (Nvidia docker v2 is currently in alpha phase which includes
many usabiliy improvements, we can support it once it becomes GA).
#5/#6/#8/#9, currently it returns only minor number, which is not sufficient.
At least we should include index of GPU for better handling device -> GPU
mapping. I added {{GpuDevice}} (which implements Serializable) to encapsulate
allocated GPU devices. And I changed YarnConfiguration to ensure admin specify
GPU index with minor number when usable GPU devices by YARN are manually
configured. See {{YarnConfiguration#NM_GPU_ALLOWED_DEVICES}}.
For minor comments:
#2, Done
#4, The docker volume is host OS's driver, etc. So it must be RO.
#7, We make the mapped GPU device in docker container same as host OS's GPU
device, I think it is appropriate.
> Support GPU isolation for docker container
> --
>
> Key: YARN-7224
> URL: https://issues.apache.org/jira/browse/YARN-7224
> Project: Hadoop YARN
> Issue Type: Sub-task
>Reporter: Wangda Tan
>Assignee: Wangda Tan
> Attachments: YARN-7224.001.patch, YARN-7224.002-wip.patch,
> YARN-7224.003.patch, YARN-7224.004.patch, YARN-7224.005.patch,
> YARN-7224.006.patch
>
>
> This patch is to address issues when docker container is being used:
> 1. GPU driver and nvidia libraries: If GPU drivers and NV libraries are
> pre-packaged inside docker image, it could conflict to driver and
> nvidia-libraries installed on Host OS. An alternative solution is to detect
> Host OS's installed drivers and devices, mount it when launch docker
> container. Please refer to \[1\] for more details.
> 2. Image detection:
> From \[2\], the challenge is:
> bq. Mounting user-level driver libraries and device files clobbers the
> environment of the container, it should be done only when the container is
> running a GPU application. The challenge here is to determine if a given
> image will be using the GPU or not. We should also prevent launching
> containers based on a Docker image that is incompatible with the host NVIDIA
> driver version, you can find more details on this wiki page.
> 3. GPU isolation.
> *Proposed solution*:
> a. Use nvidia-docker-plugin \[3\] to address issue #1, this is the same
> solution used by K8S \[4\]. issue #2 could be addressed in a separate JIRA.
> We won't ship nvidia-docker-plugin with out releases and we require cluster
> admin to preinstall nvidia-docker-plugin to use GPU+docker support on YARN.
> "nvidia-docker" is a wrapper of docker binary which can address #3 as well,
> however "nvidia-docker" doesn't provide same semantics of docker, and it
> needs to setup additional environments such as PATH/LD_LIBRARY_PATH to use
> it. To avoid introducing additional issues, we plan to use
> nvidia-docker-plugin + docker binary approach.
> b. To address GPU driver and nvidia libraries, we uses nvidia-docker-plugin
> \[3\] to create a volume which includes GPU-related libraries and mount it
> when docker container being launched. Changes include:
> - Instead of using {{volume-driver}}, this patch added {{docker volume
> create}} command to c-e and NM Java side. The reason is {{volume-driver}} can
> only use single volume driver for each launched docker container.
> - Updated {{c-e}} and Java side, if a mounted volume is a named volume in
> docker, skip checking file existence. (Named-volume still need to be added to
> permitted list of container-executor.cfg).
> c. To address isolation issue:
> We found that, cgroup + docker doesn't work under newer docker version which
> uses {{runc}} as default runtime. Setting {{--cgroup-parent}} to a cgroup
> which include any {{devices.deny}} causes docker container cannot be launched.
> Instead this patch passes allowed GPU devices via {{--device}} to docker
> launch command.
> References:
> \[1\] https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-driver
> \[2\] https://github.com/NVIDIA/nvidia-docker/wiki/Image-inspection
> \[3\] https://github.com/NVIDIA/nvidia-docker/wiki/nvidia-docker-plugin
> \[4\] https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/
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[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16216956#comment-16216956
]
Sunil G commented on YARN-7224:
---
Thanks [~leftnoteasy] for the effort.
Few comments
# {{YarnConfiguration.NVIDIA_DOCKER_PLUGIN_ENDPOINT}}. This is more vendor
specific and hence its better to be in a separate config file altogether ?
Something like a json file
{code}
{
devices: gpu,fpga
"gpu" : {
"make" : "nvidia",
"endpoint" : "http://localhost:3048";
}
}
{code}
# IN {{GpuDockerCommandPlugin#init}}, else is not needed as *if* condition is
already giving a return statement.
# To me {{GpuDockerCommandPlugin}} is mostly tightly coupled with nvidia. So
could be rename it as NvidiaGpuDockerCommandPlugin
# I could see a validation to ensure that volume always has ":ro". Do we need
to validate this ?
{{-volume=nvidia_driver_352.68:/usr/local/nvidia:ro}}
# In {{getGpuIndexFromDeviceName}}, we night need to handle exception for
parseInt.
# Since we use Serializable for storing resource mapping, we do conversions
back and to int and string. I think its better we define all gpu device number
in string itself and access it via map.
# In {{updateDockerRunCommand}}, why are we setting source and destination
device as same ?
{{dockerRunCommand.addDevice(value, value);}}
# Could we return {{getAssignedGpus}} as Set. Then in
{{getGpuIndexFromDeviceName}}, we can give the device name and look for it.
# one doubt
{code}
248 // Cannot get all assigned Gpu devices from docker plugin output
249 if (foundGpuDevices < assignedResources.size()) {
250 // TODO: We can do better for this, instead directly compare
device
251 // name, we should compare device's minor number with
specified GPU
252 // minor number.
253 throw new ContainerExecutionException(
254 "Cannot get all assigned Gpu devices from docker plugin
output");
{code}
Instead of having {{foundGpuDevices}}, this should be a part of NM's resource
capability vector. Ideally its better to associate device availabilty and its
usage in NMs resource usage vector itself rather than recomputing here ?
#
> Support GPU isolation for docker container
> --
>
> Key: YARN-7224
> URL: https://issues.apache.org/jira/browse/YARN-7224
> Project: Hadoop YARN
> Issue Type: Sub-task
>Reporter: Wangda Tan
>Assignee: Wangda Tan
> Attachments: YARN-7224.001.patch, YARN-7224.002-wip.patch,
> YARN-7224.003.patch, YARN-7224.004.patch, YARN-7224.005.patch
>
>
> This patch is to address issues when docker container is being used:
> 1. GPU driver and nvidia libraries: If GPU drivers and NV libraries are
> pre-packaged inside docker image, it could conflict to driver and
> nvidia-libraries installed on Host OS. An alternative solution is to detect
> Host OS's installed drivers and devices, mount it when launch docker
> container. Please refer to \[1\] for more details.
> 2. Image detection:
> From \[2\], the challenge is:
> bq. Mounting user-level driver libraries and device files clobbers the
> environment of the container, it should be done only when the container is
> running a GPU application. The challenge here is to determine if a given
> image will be using the GPU or not. We should also prevent launching
> containers based on a Docker image that is incompatible with the host NVIDIA
> driver version, you can find more details on this wiki page.
> 3. GPU isolation.
> *Proposed solution*:
> a. Use nvidia-docker-plugin \[3\] to address issue #1, this is the same
> solution used by K8S \[4\]. issue #2 could be addressed in a separate JIRA.
> We won't ship nvidia-docker-plugin with out releases and we require cluster
> admin to preinstall nvidia-docker-plugin to use GPU+docker support on YARN.
> "nvidia-docker" is a wrapper of docker binary which can address #3 as well,
> however "nvidia-docker" doesn't provide same semantics of docker, and it
> needs to setup additional environments such as PATH/LD_LIBRARY_PATH to use
> it. To avoid introducing additional issues, we plan to use
> nvidia-docker-plugin + docker binary approach.
> b. To address GPU driver and nvidia libraries, we uses nvidia-docker-plugin
> \[3\] to create a volume which includes GPU-related libraries and mount it
> when docker container being launched. Changes include:
> - Instead of using {{volume-driver}}, this patch added {{docker volume
> create}} command to c-e and NM Java side. The reason is {{volume-driver}} can
> only use single volume driver for each launched docker container.
> - Updated {{c-e}} and Java side, if a mounted volume is a named volume in
> docker, skip checking file existence. (Named-volume still need to be added to
> permitted
[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16210206#comment-16210206
]
Wangda Tan commented on YARN-7224:
--
Just updated up-to-date approaches used in my patch to JIRA description.
Overall workflow:
1) GpuDockerCommandPlugin (init method) talk to nvidia-docker-plugin REST end
point to get options to launch docker command.
2) From the docker command, create docker volumes when needed.
(DockerLinuxContainerRuntime#prepareContainer).
3) When launch docker container, GpuDockerCommandPlugin injects allowed GPU
devices and mount volumes when GPU is required.
[~sunilg]/[~ebadger]/[~vvasudev]/[~shaneku...@gmail.com], could you take a look
at the patch when you get chance?
Thanks.
> Support GPU isolation for docker container
> --
>
> Key: YARN-7224
> URL: https://issues.apache.org/jira/browse/YARN-7224
> Project: Hadoop YARN
> Issue Type: Sub-task
>Reporter: Wangda Tan
>Assignee: Wangda Tan
> Attachments: YARN-7224.001.patch, YARN-7224.002-wip.patch,
> YARN-7224.003.patch, YARN-7224.004.patch, YARN-7224.005.patch
>
>
> This patch is to address issues when docker container is being used:
> 1. GPU driver and nvidia libraries: If GPU drivers and NV libraries are
> pre-packaged inside docker image, it could conflict to driver and
> nvidia-libraries installed on Host OS. An alternative solution is to detect
> Host OS's installed drivers and devices, mount it when launch docker
> container. Please refer to \[1\] for more details.
> 2. Image detection:
> From \[2\], the challenge is:
> bq. Mounting user-level driver libraries and device files clobbers the
> environment of the container, it should be done only when the container is
> running a GPU application. The challenge here is to determine if a given
> image will be using the GPU or not. We should also prevent launching
> containers based on a Docker image that is incompatible with the host NVIDIA
> driver version, you can find more details on this wiki page.
> 3. GPU isolation.
> *Proposed solution*:
> a. Use nvidia-docker-plugin \[3\] to address issue #1, this is the same
> solution used by K8S \[4\]. issue #2 could be addressed in a separate JIRA.
> We won't ship nvidia-docker-plugin with out releases and we require cluster
> admin to preinstall nvidia-docker-plugin to use GPU+docker support on YARN.
> "nvidia-docker" is a wrapper of docker binary which can address #3 as well,
> however "nvidia-docker" doesn't provide same semantics of docker, and it
> needs to setup additional environments such as PATH/LD_LIBRARY_PATH to use
> it. To avoid introducing additional issues, we plan to use
> nvidia-docker-plugin + docker binary approach.
> b. To address GPU driver and nvidia libraries, we uses nvidia-docker-plugin
> \[3\] to create a volume which includes GPU-related libraries and mount it
> when docker container being launched. Changes include:
> - Instead of using {{volume-driver}}, this patch added {{docker volume
> create}} command to c-e and NM Java side. The reason is {{volume-driver}} can
> only use single volume driver for each launched docker container.
> - Updated {{c-e}} and Java side, if a mounted volume is a named volume in
> docker, skip checking file existence. (Named-volume still need to be added to
> permitted list of container-executor.cfg).
> c. To address isolation issue:
> We found that, cgroup + docker doesn't work under newer docker version which
> uses {{runc}} as default runtime. Setting {{--cgroup-parent}} to a cgroup
> which include any {{devices.deny}} causes docker container cannot be launched.
> Instead this patch passes allowed GPU devices via {{--device}} to docker
> launch command.
> References:
> \[1\] https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-driver
> \[2\] https://github.com/NVIDIA/nvidia-docker/wiki/Image-inspection
> \[3\] https://github.com/NVIDIA/nvidia-docker/wiki/nvidia-docker-plugin
> \[4\] https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/
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[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16205333#comment-16205333
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Hadoop QA commented on YARN-7224:
-
| (x) *{color:red}-1 overall{color}* |
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| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
16s{color} | {color:blue} Docker mode activated. {color} |
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m
0s{color} | {color:green} The patch appears to include 12 new or modified test
files. {color} |
|| || || || {color:brown} trunk Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
11s{color} | {color:blue} Maven dependency ordering for branch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 13m
23s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 9m
44s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 1m
3s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 4m
38s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
15m 18s{color} | {color:green} branch has no errors when building and testing
our client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 2m
58s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 2m
57s{color} | {color:green} trunk passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
10s{color} | {color:blue} Maven dependency ordering for patch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 4m
15s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 6m
17s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} cc {color} | {color:green} 6m
17s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 6m
17s{color} | {color:green} the patch passed {color} |
| {color:orange}-0{color} | {color:orange} checkstyle {color} | {color:orange}
1m 2s{color} | {color:orange} hadoop-yarn-project/hadoop-yarn: The patch
generated 32 new + 380 unchanged - 11 fixed = 412 total (was 391) {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 4m
34s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} whitespace {color} | {color:green} 0m
0s{color} | {color:green} The patch has no whitespace issues. {color} |
| {color:green}+1{color} | {color:green} xml {color} | {color:green} 0m
1s{color} | {color:green} The patch has no ill-formed XML file. {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
10m 15s{color} | {color:green} patch has no errors when building and testing
our client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 3m
22s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 3m
0s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 85m 6s{color}
| {color:red} hadoop-yarn in the patch failed. {color} |
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 0m
37s{color} | {color:green} hadoop-yarn-api in the patch passed. {color} |
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 2m
40s{color} | {color:green} hadoop-yarn-common in the patch passed. {color} |
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 16m 52s{color}
| {color:red} hadoop-yarn-server-nodemanager in the patch failed. {color} |
| {color:green}+1{color} | {color:green} asflicense {color} | {color:green} 0m
30s{color} | {color:green} The
[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16202927#comment-16202927
]
Hadoop QA commented on YARN-7224:
-
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
15s{color} | {color:blue} Docker mode activated. {color} |
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m
0s{color} | {color:green} The patch appears to include 12 new or modified test
files. {color} |
|| || || || {color:brown} trunk Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
9s{color} | {color:blue} Maven dependency ordering for branch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 14m
26s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 9m
17s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 1m
1s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 4m
35s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
14m 55s{color} | {color:green} branch has no errors when building and testing
our client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 3m
0s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 3m
8s{color} | {color:green} trunk passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
11s{color} | {color:blue} Maven dependency ordering for patch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 4m
56s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 6m
13s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} cc {color} | {color:green} 6m
13s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 6m
13s{color} | {color:green} the patch passed {color} |
| {color:orange}-0{color} | {color:orange} checkstyle {color} | {color:orange}
1m 1s{color} | {color:orange} hadoop-yarn-project/hadoop-yarn: The patch
generated 32 new + 379 unchanged - 11 fixed = 411 total (was 390) {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 5m
9s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} whitespace {color} | {color:green} 0m
0s{color} | {color:green} The patch has no whitespace issues. {color} |
| {color:green}+1{color} | {color:green} xml {color} | {color:green} 0m
1s{color} | {color:green} The patch has no ill-formed XML file. {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
10m 3s{color} | {color:green} patch has no errors when building and testing
our client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:red}-1{color} | {color:red} findbugs {color} | {color:red} 1m
10s{color} | {color:red}
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager
generated 1 new + 0 unchanged - 0 fixed = 1 total (was 0) {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 3m
11s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 84m 25s{color}
| {color:red} hadoop-yarn in the patch failed. {color} |
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 0m
47s{color} | {color:green} hadoop-yarn-api in the patch passed. {color} |
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 3m
31s{color} | {color:green} hadoop-yarn-common in the patch passed. {color} |
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 17m 45s{color}
| {color:red} hadoop-yarn-server-nodemanager in the patch failed. {col
[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16202698#comment-16202698
]
Hadoop QA commented on YARN-7224:
-
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
12s{color} | {color:blue} Docker mode activated. {color} |
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m
0s{color} | {color:green} The patch appears to include 12 new or modified test
files. {color} |
|| || || || {color:brown} trunk Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
10s{color} | {color:blue} Maven dependency ordering for branch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 13m
17s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 10m
6s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 1m
8s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 5m
36s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
16m 7s{color} | {color:green} branch has no errors when building and testing
our client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 3m
17s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 3m
20s{color} | {color:green} trunk passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
12s{color} | {color:blue} Maven dependency ordering for patch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 4m
50s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 6m
26s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} cc {color} | {color:green} 6m
26s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 6m
26s{color} | {color:green} the patch passed {color} |
| {color:orange}-0{color} | {color:orange} checkstyle {color} | {color:orange}
1m 2s{color} | {color:orange} hadoop-yarn-project/hadoop-yarn: The patch
generated 32 new + 379 unchanged - 11 fixed = 411 total (was 390) {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 5m
11s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} whitespace {color} | {color:green} 0m
0s{color} | {color:green} The patch has no whitespace issues. {color} |
| {color:green}+1{color} | {color:green} xml {color} | {color:green} 0m
2s{color} | {color:green} The patch has no ill-formed XML file. {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
10m 14s{color} | {color:green} patch has no errors when building and testing
our client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:red}-1{color} | {color:red} findbugs {color} | {color:red} 1m
2s{color} | {color:red}
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager
generated 1 new + 0 unchanged - 0 fixed = 1 total (was 0) {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 3m
7s{color} | {color:green} the patch passed {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 67m 1s{color}
| {color:red} hadoop-yarn in the patch failed. {color} |
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 0m
47s{color} | {color:green} hadoop-yarn-api in the patch passed. {color} |
| {color:green}+1{color} | {color:green} unit {color} | {color:green} 3m
25s{color} | {color:green} hadoop-yarn-common in the patch passed. {color} |
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 17m 31s{color}
| {color:red} hadoop-yarn-server-nodemanager in the patch failed. {col
[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[
https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16201127#comment-16201127
]
Hadoop QA commented on YARN-7224:
-
| (x) *{color:red}-1 overall{color}* |
\\
\\
|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
11s{color} | {color:blue} Docker mode activated. {color} |
|| || || || {color:brown} Prechecks {color} ||
| {color:green}+1{color} | {color:green} @author {color} | {color:green} 0m
0s{color} | {color:green} The patch does not contain any @author tags. {color} |
| {color:green}+1{color} | {color:green} test4tests {color} | {color:green} 0m
0s{color} | {color:green} The patch appears to include 8 new or modified test
files. {color} |
|| || || || {color:brown} trunk Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
54s{color} | {color:blue} Maven dependency ordering for branch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 12m
46s{color} | {color:green} trunk passed {color} |
| {color:red}-1{color} | {color:red} compile {color} | {color:red} 3m
22s{color} | {color:red} hadoop-yarn in trunk failed. {color} |
| {color:green}+1{color} | {color:green} checkstyle {color} | {color:green} 0m
49s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 3m
30s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
12m 39s{color} | {color:green} branch has no errors when building and testing
our client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:green}+1{color} | {color:green} findbugs {color} | {color:green} 1m
52s{color} | {color:green} trunk passed {color} |
| {color:green}+1{color} | {color:green} javadoc {color} | {color:green} 2m
26s{color} | {color:green} trunk passed {color} |
|| || || || {color:brown} Patch Compile Tests {color} ||
| {color:blue}0{color} | {color:blue} mvndep {color} | {color:blue} 0m
11s{color} | {color:blue} Maven dependency ordering for patch {color} |
| {color:green}+1{color} | {color:green} mvninstall {color} | {color:green} 3m
47s{color} | {color:green} the patch passed {color} |
| {color:green}+1{color} | {color:green} compile {color} | {color:green} 9m
41s{color} | {color:green} the patch passed {color} |
| {color:red}-1{color} | {color:red} cc {color} | {color:red} 9m 41s{color} |
{color:red} hadoop-yarn-project_hadoop-yarn generated 5 new + 0 unchanged - 0
fixed = 5 total (was 0) {color} |
| {color:green}+1{color} | {color:green} javac {color} | {color:green} 9m
41s{color} | {color:green} the patch passed {color} |
| {color:orange}-0{color} | {color:orange} checkstyle {color} | {color:orange}
0m 52s{color} | {color:orange} hadoop-yarn-project/hadoop-yarn: The patch
generated 31 new + 267 unchanged - 4 fixed = 298 total (was 271) {color} |
| {color:green}+1{color} | {color:green} mvnsite {color} | {color:green} 3m
52s{color} | {color:green} the patch passed {color} |
| {color:red}-1{color} | {color:red} whitespace {color} | {color:red} 0m
0s{color} | {color:red} The patch 1 line(s) with tabs. {color} |
| {color:green}+1{color} | {color:green} shadedclient {color} | {color:green}
9m 10s{color} | {color:green} patch has no errors when building and testing our
client artifacts. {color} |
| {color:blue}0{color} | {color:blue} findbugs {color} | {color:blue} 0m
0s{color} | {color:blue} Skipped patched modules with no Java source:
hadoop-yarn-project/hadoop-yarn {color} |
| {color:red}-1{color} | {color:red} findbugs {color} | {color:red} 0m
56s{color} | {color:red}
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-nodemanager
generated 4 new + 0 unchanged - 0 fixed = 4 total (was 0) {color} |
| {color:red}-1{color} | {color:red} javadoc {color} | {color:red} 1m
41s{color} | {color:red} hadoop-yarn-project_hadoop-yarn generated 1 new + 5400
unchanged - 0 fixed = 5401 total (was 5400) {color} |
| {color:red}-1{color} | {color:red} javadoc {color} | {color:red} 0m
18s{color} | {color:red}
hadoop-yarn-project_hadoop-yarn_hadoop-yarn-server_hadoop-yarn-server-nodemanager
generated 1 new + 103 unchanged - 0 fixed = 104 total (was 103) {color} |
|| || || || {color:brown} Other Tests {color} ||
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 3m 35s{color}
| {color:red} hadoop-yarn in the patch failed. {color} |
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 0m 34s{color}
| {color:red} hadoop-yarn-api in the patch failed. {color} |
| {color:red}-1{color} | {color:red} unit {color} | {color:red} 16m 56
[jira] [Commented] (YARN-7224) Support GPU isolation for docker container
[ https://issues.apache.org/jira/browse/YARN-7224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16191803#comment-16191803 ] Wangda Tan commented on YARN-7224: -- YARN-6620 added support of GPU isolation in NM side, which only supports non-docker containers. We need to add support to help docker containers launched by YARN can utilize GPUs. Currently, YARN launches docker containers inside cgroups. After YARN-6852/YARN-6620, we have finished cgroup-based GPU isolation logics. This patch is to address issues when docker container is being used. There're several issues: 1. GPU driver and nvidia libraries: If GPU drivers and NV libraries are pre-packaged inside docker image, it could conflict to driver and nvidia-libraries installed on Host OS. An alternative solution is to detect Host OS's installed drivers and devices, mount it when launch docker container. Please refer to \[1\] for more details. 2. Image detection: >From \[2\], the challenge is: bq. Mounting user-level driver libraries and device files clobbers the environment of the container, it should be done only when the container is running a GPU application. The challenge here is to determine if a given image will be using the GPU or not. We should also prevent launching containers based on a Docker image that is incompatible with the host NVIDIA driver version, you can find more details on this wiki page. 3. GPU isolation: We have already done this in YARN-6852/YARN-6620. *Proposal:* My plan is to use nvidia-docker-plugin \[3\] to address #1, this is the same solution used by K8S \[4\]. #2 could be addressed in a separate JIRA. We won't ship nvidia-docker-plugin with out releases and we require cluster admin to preinstall nvidia-docker-plugin to use GPU+docker support on YARN. "nvidia-docker" is a wrapper of docker binary which can address #3 as well, however "nvidia-docker" doesn't provide same semantics of docker, and it needs to setup additional environments such as PATH/LD_LIBRARY_PATH to use it. To avoid introducing additional issues, we plan to use nvidia-docker-plugin + docker binary approach. \[1\] https://github.com/NVIDIA/nvidia-docker/wiki/NVIDIA-driver \[2\] https://github.com/NVIDIA/nvidia-docker/wiki/Image-inspection \[3\] https://github.com/NVIDIA/nvidia-docker/wiki/nvidia-docker-plugin \[4\] https://kubernetes.io/docs/tasks/manage-gpus/scheduling-gpus/ > Support GPU isolation for docker container > -- > > Key: YARN-7224 > URL: https://issues.apache.org/jira/browse/YARN-7224 > Project: Hadoop YARN > Issue Type: Sub-task >Reporter: Wangda Tan >Assignee: Wangda Tan > > YARN-6620 added support of GPU isolation in NM side, which only supports > non-docker containers. We need to add support to help docker containers > launched by YARN can utilize GPUs. -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org
