[jira] [Updated] (MAPREDUCE-4868) Allow multiple iteration for map
[ https://issues.apache.org/jira/browse/MAPREDUCE-4868?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Allen Wittenauer updated MAPREDUCE-4868: Fix Version/s: (was: 2.4.0) (was: 3.0.0) Allow multiple iteration for map Key: MAPREDUCE-4868 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4868 Project: Hadoop Map/Reduce Issue Type: Improvement Components: mrv2 Affects Versions: 3.0.0, 2.0.3-alpha Reporter: Jerry Chen Original Estimate: 168h Remaining Estimate: 168h Currently, the Mapper class allows advanced users to override public void run(Context context) method for more control over the execution of the mapper, while Context interface limit the operations over the data which is the foundation of more control. One of use cases is that when I am considering a hive optimziation problem, I want to go two passes over the input data instead of using a another job or task ( which may slower the whole process). Each pass do the same thing but with a different parameters. This is a new paradigm of Map Reduce usage and can be archived easily by extend Context interface a little with the more control over the data such as reset the input. -- This message was sent by Atlassian JIRA (v6.3.4#6332)
[jira] [Updated] (MAPREDUCE-4868) Allow multiple iteration for map
[ https://issues.apache.org/jira/browse/MAPREDUCE-4868?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Arun C Murthy updated MAPREDUCE-4868: - Fix Version/s: (was: 2.3.0) 2.4.0 Allow multiple iteration for map Key: MAPREDUCE-4868 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4868 Project: Hadoop Map/Reduce Issue Type: Improvement Components: mrv2 Affects Versions: 3.0.0, 2.0.3-alpha Reporter: Jerry Chen Fix For: 3.0.0, 2.4.0 Original Estimate: 168h Remaining Estimate: 168h Currently, the Mapper class allows advanced users to override public void run(Context context) method for more control over the execution of the mapper, while Context interface limit the operations over the data which is the foundation of more control. One of use cases is that when I am considering a hive optimziation problem, I want to go two passes over the input data instead of using a another job or task ( which may slower the whole process). Each pass do the same thing but with a different parameters. This is a new paradigm of Map Reduce usage and can be archived easily by extend Context interface a little with the more control over the data such as reset the input. -- This message was sent by Atlassian JIRA (v6.1.5#6160)
[jira] [Updated] (MAPREDUCE-4868) Allow multiple iteration for map
[ https://issues.apache.org/jira/browse/MAPREDUCE-4868?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Arun C Murthy updated MAPREDUCE-4868: - Fix Version/s: (was: 2.1.0-beta) 2.3.0 Allow multiple iteration for map Key: MAPREDUCE-4868 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4868 Project: Hadoop Map/Reduce Issue Type: Improvement Components: mrv2 Affects Versions: 3.0.0, 2.0.3-alpha Reporter: Jerry Chen Fix For: 3.0.0, 2.3.0 Original Estimate: 168h Remaining Estimate: 168h Currently, the Mapper class allows advanced users to override public void run(Context context) method for more control over the execution of the mapper, while Context interface limit the operations over the data which is the foundation of more control. One of use cases is that when I am considering a hive optimziation problem, I want to go two passes over the input data instead of using a another job or task ( which may slower the whole process). Each pass do the same thing but with a different parameters. This is a new paradigm of Map Reduce usage and can be archived easily by extend Context interface a little with the more control over the data such as reset the input. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira
[jira] [Updated] (MAPREDUCE-4868) Allow multiple iteration for map
[ https://issues.apache.org/jira/browse/MAPREDUCE-4868?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Arun C Murthy updated MAPREDUCE-4868: - Fix Version/s: (was: 2.0.3-alpha) 2.0.4-beta Allow multiple iteration for map Key: MAPREDUCE-4868 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4868 Project: Hadoop Map/Reduce Issue Type: Improvement Components: mrv2 Affects Versions: 3.0.0, 2.0.3-alpha Reporter: Jerry Chen Fix For: 3.0.0, 2.0.4-beta Original Estimate: 168h Remaining Estimate: 168h Currently, the Mapper class allows advanced users to override public void run(Context context) method for more control over the execution of the mapper, while Context interface limit the operations over the data which is the foundation of more control. One of use cases is that when I am considering a hive optimziation problem, I want to go two passes over the input data instead of using a another job or task ( which may slower the whole process). Each pass do the same thing but with a different parameters. This is a new paradigm of Map Reduce usage and can be archived easily by extend Context interface a little with the more control over the data such as reset the input. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira
[jira] [Updated] (MAPREDUCE-4868) Allow multiple iteration for map
[ https://issues.apache.org/jira/browse/MAPREDUCE-4868?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jerry Chen updated MAPREDUCE-4868: -- Description: Currently, the Mapper class allows advanced users to override public void run(Context context) method for more control over the execution of the mapper, while Context interface limit the operations over the data which is the foundation of more control. One of use cases is that when I am considering a hive optimziation problem, I want to go two passes over the input data instead of using a another job or task ( which may slower the whole process). Each pass do the same thing but with a different parameters. This is a new paradigm of Map Reduce usage and can be archived easily by extend Context interface a little with the more control over the data such as reset the input. was: Currently, the Mapper class allows advanced users to override public void run(Context context) method for more control over the map the execution of the mapper, while Context interface limit the operations over the data which is the foundation of more control. One of use cases is that when I am considering a hive optimziation problem, I want to go two passes over the input data instead of using a another job or task ( which may slower the whole process). Each pass do the same thing but with a different parameters. This is a new paradigm of Map Reduce usage and can be archived easily by extend Context interface a little with the more control over the data such as reset the input. Allow multiple iteration for map Key: MAPREDUCE-4868 URL: https://issues.apache.org/jira/browse/MAPREDUCE-4868 Project: Hadoop Map/Reduce Issue Type: Improvement Components: mrv2 Affects Versions: 3.0.0, 2.0.3-alpha Reporter: Jerry Chen Fix For: 3.0.0, 2.0.3-alpha Original Estimate: 168h Remaining Estimate: 168h Currently, the Mapper class allows advanced users to override public void run(Context context) method for more control over the execution of the mapper, while Context interface limit the operations over the data which is the foundation of more control. One of use cases is that when I am considering a hive optimziation problem, I want to go two passes over the input data instead of using a another job or task ( which may slower the whole process). Each pass do the same thing but with a different parameters. This is a new paradigm of Map Reduce usage and can be archived easily by extend Context interface a little with the more control over the data such as reset the input. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators For more information on JIRA, see: http://www.atlassian.com/software/jira
