Does enabling, CPU scheduling in YARN will really improve the parallel processing in spark?
YARN with capacity scheduler will take only memory into account when it is allocating resources for user requests If I submit a spark job like this "--master yarn --deploy-mode client --driver-memory 4g --executor-memory 4g --num-executors 1 --executor-cores 3", yarn will allocate an executor with 4gb memory and 1 vcpu, but when it is executing tasks, it will execute 3 tasks parallelly.
Is it using that single core alone to execute all tasks as a set of 3 at a time?
So If I enable CPU scheduling and CGroups (in HDP cluster), will yarn assign 3 vcpu cores and will that set of 3 tasks will get executed in each cpu? Will it really improve the processing time?
As for now, I could not enable CPU scheduling in my cluster (HDP 2.6.5 centos 7.5) due to the below error in starting node manager "Not able to enforce cpu weights; cannot write to cgroup at: /sys/fs/cgroup/cpu,cpuacct"
apache-spark hadoop bigdata yarn hdp
edited Dec 1 '18 at 3:01
steveax
14.5k53555
asked Nov 12 '18 at 10:34
Dharaneesh VrdDharaneesh Vrd
86
add a comment |
YARN with capacity scheduler will take only memory into account when it is allocating resources for user requests If I submit a spark job like this "--master yarn --deploy-mode client --driver-memory 4g --executor-memory 4g --num-executors 1 --executor-cores 3", yarn will allocate an executor with 4gb memory and 1 vcpu, but when it is executing tasks, it will execute 3 tasks parallelly.
Is it using that single core alone to execute all tasks as a set of 3 at a time?
So If I enable CPU scheduling and CGroups (in HDP cluster), will yarn assign 3 vcpu cores and will that set of 3 tasks will get executed in each cpu? Will it really improve the processing time?
As for now, I could not enable CPU scheduling in my cluster (HDP 2.6.5 centos 7.5) due to the below error in starting node manager "Not able to enforce cpu weights; cannot write to cgroup at: /sys/fs/cgroup/cpu,cpuacct"
apache-spark hadoop bigdata yarn hdp
edited Dec 1 '18 at 3:01
steveax
14.5k53555
asked Nov 12 '18 at 10:34
Dharaneesh VrdDharaneesh Vrd
86
add a comment |
YARN with capacity scheduler will take only memory into account when it is allocating resources for user requests If I submit a spark job like this "--master yarn --deploy-mode client --driver-memory 4g --executor-memory 4g --num-executors 1 --executor-cores 3", yarn will allocate an executor with 4gb memory and 1 vcpu, but when it is executing tasks, it will execute 3 tasks parallelly.
Is it using that single core alone to execute all tasks as a set of 3 at a time?
So If I enable CPU scheduling and CGroups (in HDP cluster), will yarn assign 3 vcpu cores and will that set of 3 tasks will get executed in each cpu? Will it really improve the processing time?
As for now, I could not enable CPU scheduling in my cluster (HDP 2.6.5 centos 7.5) due to the below error in starting node manager "Not able to enforce cpu weights; cannot write to cgroup at: /sys/fs/cgroup/cpu,cpuacct"
apache-spark hadoop bigdata yarn hdp
edited Dec 1 '18 at 3:01
steveax
14.5k53555
asked Nov 12 '18 at 10:34
Dharaneesh VrdDharaneesh Vrd
86
YARN with capacity scheduler will take only memory into account when it is allocating resources for user requests If I submit a spark job like this "--master yarn --deploy-mode client --driver-memory 4g --executor-memory 4g --num-executors 1 --executor-cores 3", yarn will allocate an executor with 4gb memory and 1 vcpu, but when it is executing tasks, it will execute 3 tasks parallelly.
Is it using that single core alone to execute all tasks as a set of 3 at a time?
So If I enable CPU scheduling and CGroups (in HDP cluster), will yarn assign 3 vcpu cores and will that set of 3 tasks will get executed in each cpu? Will it really improve the processing time?
As for now, I could not enable CPU scheduling in my cluster (HDP 2.6.5 centos 7.5) due to the below error in starting node manager "Not able to enforce cpu weights; cannot write to cgroup at: /sys/fs/cgroup/cpu,cpuacct"
apache-spark hadoop bigdata yarn hdp
apache-spark hadoop bigdata yarn hdp
edited Dec 1 '18 at 3:01
steveax
14.5k53555
asked Nov 12 '18 at 10:34
Dharaneesh VrdDharaneesh Vrd
86
edited Dec 1 '18 at 3:01
steveax
14.5k53555
asked Nov 12 '18 at 10:34
Dharaneesh VrdDharaneesh Vrd
86
edited Dec 1 '18 at 3:01
steveax
14.5k53555
edited Dec 1 '18 at 3:01
steveax
14.5k53555
edited Dec 1 '18 at 3:01
steveax
14.5k53555
14.5k53555
asked Nov 12 '18 at 10:34
Dharaneesh VrdDharaneesh Vrd
86
asked Nov 12 '18 at 10:34
Dharaneesh VrdDharaneesh Vrd
86
asked Nov 12 '18 at 10:34
Dharaneesh VrdDharaneesh Vrd
86
86
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
No, vcores and vcpus are really a logical construct that are not related to what is actually on the system but more closely related to how many processes are running. The OS (Linux in this case) will migrate work to all CPUs if the process is designed for this. Most long running Java applications will do this due to the multiple threads running.
YARN doesn't control CPU cores unless you enable CGroups. The only thing YARN controls is the memory usage. The reason this doesn't matter is because typical Hadoop workloads are I/O bound not CPU bound.
References
- Using CGroups with YARN
answered Nov 15 '18 at 22:20
tk421tk421
3,40431426
add a comment |
Your Answer
StackExchange.ifUsing("editor", function ()
StackExchange.using("externalEditor", function ()
StackExchange.using("snippets", function ()
StackExchange.snippets.init();
);
);
, "code-snippets");
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "1"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53260323%2fdoes-enabling-cpu-scheduling-in-yarn-will-really-improve-the-parallel-processin%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
No, vcores and vcpus are really a logical construct that are not related to what is actually on the system but more closely related to how many processes are running. The OS (Linux in this case) will migrate work to all CPUs if the process is designed for this. Most long running Java applications will do this due to the multiple threads running.
YARN doesn't control CPU cores unless you enable CGroups. The only thing YARN controls is the memory usage. The reason this doesn't matter is because typical Hadoop workloads are I/O bound not CPU bound.
References
- Using CGroups with YARN
answered Nov 15 '18 at 22:20
tk421tk421
3,40431426
add a comment |
No, vcores and vcpus are really a logical construct that are not related to what is actually on the system but more closely related to how many processes are running. The OS (Linux in this case) will migrate work to all CPUs if the process is designed for this. Most long running Java applications will do this due to the multiple threads running.
YARN doesn't control CPU cores unless you enable CGroups. The only thing YARN controls is the memory usage. The reason this doesn't matter is because typical Hadoop workloads are I/O bound not CPU bound.
References
- Using CGroups with YARN
answered Nov 15 '18 at 22:20
tk421tk421
3,40431426
add a comment |
No, vcores and vcpus are really a logical construct that are not related to what is actually on the system but more closely related to how many processes are running. The OS (Linux in this case) will migrate work to all CPUs if the process is designed for this. Most long running Java applications will do this due to the multiple threads running.
YARN doesn't control CPU cores unless you enable CGroups. The only thing YARN controls is the memory usage. The reason this doesn't matter is because typical Hadoop workloads are I/O bound not CPU bound.
References
- Using CGroups with YARN
answered Nov 15 '18 at 22:20
tk421tk421
3,40431426
No, vcores and vcpus are really a logical construct that are not related to what is actually on the system but more closely related to how many processes are running. The OS (Linux in this case) will migrate work to all CPUs if the process is designed for this. Most long running Java applications will do this due to the multiple threads running.
YARN doesn't control CPU cores unless you enable CGroups. The only thing YARN controls is the memory usage. The reason this doesn't matter is because typical Hadoop workloads are I/O bound not CPU bound.
References
- Using CGroups with YARN
answered Nov 15 '18 at 22:20
tk421tk421
3,40431426
answered Nov 15 '18 at 22:20
tk421tk421
3,40431426
answered Nov 15 '18 at 22:20
tk421tk421
3,40431426
answered Nov 15 '18 at 22:20
tk421tk421
3,40431426
3,40431426
add a comment |
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53260323%2fdoes-enabling-cpu-scheduling-in-yarn-will-really-improve-the-parallel-processin%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
