[jira] [Updated] (MAPREDUCE-6499) Add More Informations Of Jobs In JobHistory Main Page
[ https://issues.apache.org/jira/browse/MAPREDUCE-6499?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anonymous updated MAPREDUCE-6499: - Release Note: Add more informations of finished jobs on jobhistory main page. Affects Version/s: 2.7.1 Status: Patch Available (was: Reopened) > Add More Informations Of Jobs In JobHistory Main Page > - > > Key: MAPREDUCE-6499 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-6499 > Project: Hadoop Map/Reduce > Issue Type: Improvement >Affects Versions: 2.7.1 >Reporter: Lin Yiqun >Assignee: Lin Yiqun >Priority: Trivial > Fix For: 2.7.1 > > Attachments: HADOOP-MAPREDUCE-6499.patch > > > Now in JobHistory Main Page show too little information about finished > jobs,even don't have the job's running total time,only > startTime,finishedTime.So,in jobHistory main page,we can add more > informations about jobs, that we can better analyze jobs. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (MAPREDUCE-1380) Adaptive Scheduler
[ https://issues.apache.org/jira/browse/MAPREDUCE-1380?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anonymous updated MAPREDUCE-1380: - Target Version/s: 2.4.1 Affects Version/s: 2.4.1 Hadoop Flags: Incompatible change,Reviewed Status: Patch Available (was: Reopened) > Adaptive Scheduler > -- > > Key: MAPREDUCE-1380 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-1380 > Project: Hadoop Map/Reduce > Issue Type: New Feature >Affects Versions: 2.4.1 >Reporter: Jordà Polo >Priority: Minor > Attachments: MAPREDUCE-1380-branch-1.2.patch, > MAPREDUCE-1380_0.1.patch, MAPREDUCE-1380_1.1.patch, MAPREDUCE-1380_1.1.pdf > > > The Adaptive Scheduler is a pluggable Hadoop scheduler that automatically > adjusts the amount of used resources depending on the performance of jobs and > on user-defined high-level business goals. > Existing Hadoop schedulers are focused on managing large, static clusters in > which nodes are added or removed manually. On the other hand, the goal of > this scheduler is to improve the integration of Hadoop and the applications > that run on top of it with environments that allow a more dynamic > provisioning of resources. > The current implementation is quite straightforward. Users specify a deadline > at job submission time, and the scheduler adjusts the resources to meet that > deadline (at the moment, the scheduler can be configured to either minimize > or maximize the amount of resources). If multiple jobs are run > simultaneously, the scheduler prioritizes them by deadline. Note that the > current approach to estimate the completion time of jobs is quite simplistic: > it is based on the time it takes to finish each task, so it works well with > regular jobs, but there is still room for improvement for unpredictable jobs. > The idea is to further integrate it with cloud-like and virtual environments > (such as Amazon EC2, Emotive, etc.) so that if, for instance, a job isn't > able to meet its deadline, the scheduler automatically requests more > resources. -- This message was sent by Atlassian JIRA (v6.2#6252)
[jira] Updated: (MAPREDUCE-1515) need to pass down java5 and forrest home variables
[ https://issues.apache.org/jira/browse/MAPREDUCE-1515?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Anonymous updated MAPREDUCE-1515: - Affects Version/s: 0.22.0 Release Note: This patch allows a local Ant properties file to be read from the imported build file, build-utils.xml. This removes the need to pass properties required by both the top-level and imported build file on the command-line Ant invocation using the -D switch. It differs from the previous patch in that the entire contents of the properties file are read in, whereas the previous patch only sets the required properties (java5.home and forrest.home) based on their settings in the top-level build script. If any other properties are later needed these will need to be added into the imported build script (i.e., build-utils.xml). This patch only reads the build.properties from the local directory (the hadoop-mapreduce root directory). This differs from the top-level Ant file which also will look for build properties in the user's home directory. Status: Patch Available (was: Reopened) > need to pass down java5 and forrest home variables > -- > > Key: MAPREDUCE-1515 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-1515 > Project: Hadoop Map/Reduce > Issue Type: Bug > Components: build >Affects Versions: 0.22.0 >Reporter: Owen O'Malley >Assignee: Owen O'Malley > Fix For: 0.22.0 > > Attachments: m-1515.patch > > > Currently, the build script doesn't pass down the variables for java5 and > forrest, so the build breaks unless they are on the command line. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online.
