[jira] [Updated] (YARN-2172) Suspend/Resume Hadoop Jobs
[ https://issues.apache.org/jira/browse/YARN-2172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Richard Chen updated YARN-2172: --- Attachment: hadoop_job_suspend_resume.patch Hadoop Job Suspend and Resume svn patch file Suspend/Resume Hadoop Jobs -- Key: YARN-2172 URL: https://issues.apache.org/jira/browse/YARN-2172 Project: Hadoop YARN Issue Type: New Feature Components: resourcemanager, webapp Affects Versions: 2.2.0 Environment: CentOS 6.5, Hadoop 2.2.0 Reporter: Richard Chen Labels: hadoop, jobs, resume, suspend Fix For: 2.2.0 Attachments: Hadoop Job Suspend Resume Design.docx, hadoop_job_suspend_resume.patch Original Estimate: 336h Remaining Estimate: 336h In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop YARN. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. My team has completed its implementation and our tests showed it works in a rather solid way. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Updated] (YARN-2172) Suspend/Resume Hadoop Jobs
[ https://issues.apache.org/jira/browse/YARN-2172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Richard Chen updated YARN-2172: --- Description: In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop YARN. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. My team has completed its implementation and our tests showed it works in a rather solid and convenient way. was: In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop YARN. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. My team has completed its implementation and our tests showed it works in a rather solid way. Suspend/Resume Hadoop Jobs -- Key: YARN-2172 URL: https://issues.apache.org/jira/browse/YARN-2172 Project: Hadoop YARN Issue Type: New Feature Components: resourcemanager, webapp Affects Versions: 2.2.0 Environment: CentOS 6.5, Hadoop 2.2.0 Reporter: Richard Chen Labels: hadoop, jobs, resume, suspend Fix For: 2.2.0 Attachments: Hadoop Job Suspend Resume Design.docx, hadoop_job_suspend_resume.patch Original Estimate: 336h Remaining Estimate: 336h In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop YARN. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. My team has completed its implementation and our tests showed it works in a rather solid and convenient way. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Updated] (YARN-2172) Suspend/Resume Hadoop Jobs
[ https://issues.apache.org/jira/browse/YARN-2172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Richard Chen updated YARN-2172: --- Attachment: Hadoop Job Suspend Resume Design.docx Design Document for Hadoop Job Suspend/Resume Implementation Suspend/Resume Hadoop Jobs -- Key: YARN-2172 URL: https://issues.apache.org/jira/browse/YARN-2172 Project: Hadoop YARN Issue Type: New Feature Components: resourcemanager, webapp Affects Versions: 2.2.0 Environment: CentOS 6.5, Hadoop 2.2.0 Reporter: Richard Chen Labels: hadoop, jobs, resume, suspend Fix For: 2.2.0 Attachments: Hadoop Job Suspend Resume Design.docx Original Estimate: 336h Remaining Estimate: 336h In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop YARN. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. My team has completed its implementation and our tests showed it works in a rather solid way. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Created] (YARN-2172) Suspend/Resume Hadoop Jobs
Richard Chen created YARN-2172: -- Summary: Suspend/Resume Hadoop Jobs Key: YARN-2172 URL: https://issues.apache.org/jira/browse/YARN-2172 Project: Hadoop YARN Issue Type: New Feature Components: resourcemanager, webapp Affects Versions: 2.2.0 Environment: CentOS 6.5, Hadoop 2.2.0 Reporter: Richard Chen Fix For: 2.2.0 In a multi-application cluster environment, jobs running inside Hadoop application may be of lower-priority than jobs running inside other applications like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop application. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Updated] (YARN-2172) Suspend/Resume Hadoop Jobs
[ https://issues.apache.org/jira/browse/YARN-2172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Richard Chen updated YARN-2172: --- Description: In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop YARN. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. was: In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop application. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. Suspend/Resume Hadoop Jobs -- Key: YARN-2172 URL: https://issues.apache.org/jira/browse/YARN-2172 Project: Hadoop YARN Issue Type: New Feature Components: resourcemanager, webapp Affects Versions: 2.2.0 Environment: CentOS 6.5, Hadoop 2.2.0 Reporter: Richard Chen Labels: hadoop, jobs, resume, suspend Fix For: 2.2.0 Original Estimate: 336h Remaining Estimate: 336h In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop YARN. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Updated] (YARN-2172) Suspend/Resume Hadoop Jobs
[ https://issues.apache.org/jira/browse/YARN-2172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Richard Chen updated YARN-2172: --- Description: In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop application. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. was: In a multi-application cluster environment, jobs running inside Hadoop application may be of lower-priority than jobs running inside other applications like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop application. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. Suspend/Resume Hadoop Jobs -- Key: YARN-2172 URL: https://issues.apache.org/jira/browse/YARN-2172 Project: Hadoop YARN Issue Type: New Feature Components: resourcemanager, webapp Affects Versions: 2.2.0 Environment: CentOS 6.5, Hadoop 2.2.0 Reporter: Richard Chen Labels: hadoop, jobs, resume, suspend Fix For: 2.2.0 Original Estimate: 336h Remaining Estimate: 336h In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop application. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Updated] (YARN-2172) Suspend/Resume Hadoop Jobs
[ https://issues.apache.org/jira/browse/YARN-2172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Richard Chen updated YARN-2172: --- Description: In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop YARN. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. My team has completed its implementation and our tests showed it works in a rather solid way. was: In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop YARN. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. My team has completed its implementation and our tests showed it is working in a rather solid way. Suspend/Resume Hadoop Jobs -- Key: YARN-2172 URL: https://issues.apache.org/jira/browse/YARN-2172 Project: Hadoop YARN Issue Type: New Feature Components: resourcemanager, webapp Affects Versions: 2.2.0 Environment: CentOS 6.5, Hadoop 2.2.0 Reporter: Richard Chen Labels: hadoop, jobs, resume, suspend Fix For: 2.2.0 Original Estimate: 336h Remaining Estimate: 336h In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop YARN. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. My team has completed its implementation and our tests showed it works in a rather solid way. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] [Updated] (YARN-2172) Suspend/Resume Hadoop Jobs
[ https://issues.apache.org/jira/browse/YARN-2172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Richard Chen updated YARN-2172: --- Description: In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop YARN. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. My team has completed its implementation and our tests showed it is working in a rather solid way. was: In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop YARN. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. Suspend/Resume Hadoop Jobs -- Key: YARN-2172 URL: https://issues.apache.org/jira/browse/YARN-2172 Project: Hadoop YARN Issue Type: New Feature Components: resourcemanager, webapp Affects Versions: 2.2.0 Environment: CentOS 6.5, Hadoop 2.2.0 Reporter: Richard Chen Labels: hadoop, jobs, resume, suspend Fix For: 2.2.0 Original Estimate: 336h Remaining Estimate: 336h In a multi-application cluster environment, jobs running inside Hadoop YARN may be of lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able to suspend and/or resume some particular jobs within Hadoop YARN. When target jobs inside Hadoop are suspended, those already allocated and running task containers will continue to run until their completion or active preemption by other ways. But no more new containers would be allocated to the target jobs. In contrast, when suspended jobs are put into resume mode, they will continue to run from the previous job progress and have new task containers allocated to complete the rest of the jobs. My team has completed its implementation and our tests showed it is working in a rather solid way. -- This message was sent by Atlassian JIRA (v6.2#6252)
