RE: How To Distribute One Map Data To All Reduce Tasks?

Can you explain your usecase with some more details? Thanks Devaraj From: 静行 [xiaoyong.den...@taobao.com] Sent: Thursday, July 05, 2012 9:53 AM To: mapreduce-user@hadoop.apache.org Subject: 答复: How To Distribute One Map Data To All Reduce Tasks? Thanks! But wh

Re: How to connect to a cluster by using eclipse

in some cases, u have to debug it in a real cluster (for example a production problem) in that case you need to specify the -Xdebug -Xrunjdwp:transport=dt_socket,address=12345,server=n,suspend=n for mapred.java.child.opts for the job (sorry forgot the exact param name, maybe not exactly mapred.j

答复: How To Distribute One Map Data To All Reduce Tasks?

Thanks! But what I really want to know is how can I distribute one map data to every reduce task, not one of reduce tasks. Do you have some ideas? 发件人: Devaraj k [mailto:devara...@huawei.com] 发送时间: 2012年7月5日 12:12 收件人: mapreduce-user@hadoop.apache.org 主题: RE: How To Distribute One Map Data To All

RE: How To Distribute One Map Data To All Reduce Tasks?

You can distribute the map data to the reduce tasks using Partitioner. By default Job uses the HashPartitioner. You can use custom Partitioner it according to your need. http://hadoop.apache.org/common/docs/current/api/org/apache/hadoop/mapreduce/Partitioner.html Thanks Devaraj _

Re: How to connect to a cluster by using eclipse

all right, thanks~ 在 2012年7月5日星期四，Marcos Ortiz 写道： > Jason, > Ramon is right. > The best way to debug a MapReduce job is mounting a local cluster, and > then, when you have tested enough your code, then, you can > deploy it in a real distributed cluster. > On 07/04/2012 10:00 PM, Jason Yang wrot

How To Distribute One Map Data To All Reduce Tasks?

Hi all: How can I distribute one map data to all reduce tasks? This email (including any attachments) is confidential and may be legally privileged. If you received this email in error, please delete it immediately and do not copy it or use it for any p

Re: How to connect to a cluster by using eclipse

Jason, Ramon is right. The best way to debug a MapReduce job is mounting a local cluster, and then, when you have tested enough your code, then, you can deploy it in a real distributed cluster. On 07/04/2012 10:00 PM, Jason Yang wrote: > ramon, > > Thank for your reply very much. > > However, I was

Re: How to connect to a cluster by using eclipse

ramon, Thank for your reply very much. However, I was still wonder whether I could debug a MR application in this way. I have read some posts talking about using NAT to redirect all the packets to the network card which connect to the local LAN, but it does not work as I tried to redirect by usi

Re: MR job runs on CDH3 but not on CDH4

Ok thanks, I'll post there. I realized that the issue has to do with the extra jars that I added to the hadoop installation. My job wasnt getting submitted becauae my tasktrackers don't seem to start if I have avro-1.7.0.jar & avro-tools-1.7.0.jar in my hadoop/lib directory. But I need these

RE: Null Pointer Excpetion while writing Key on Mapper emit

Thanks for the response Anand, The NullPointerException was by design, I wanted to illustrate that it was not null. Your suspicion about having multiple threads was correct. I traced the error down to the threadpool terminating prior to the last mapper completing its operations. Sincerely, Matt

Re: MR job runs on CDH3 but not on CDH4

It's hard for folks here to help you on CDH - please ask their own user lists. Arun On Jul 4, 2012, at 8:49 AM, Alan Miller wrote: > Hi, > > I’m trying to move from CDH3U3 to CDH4. > My existing MR program works fine on CDH3U3 but I cant get it to run on CDH4. > > Basically my Driver class

MR job runs on CDH3 but not on CDH4

Hi, I'm trying to move from CDH3U3 to CDH4. My existing MR program works fine on CDH3U3 but I cant get it to run on CDH4. Basically my Driver class 1. queries a PG DB and writes some HashMaps to files in the Distributed Cache, 2. then writes some Avro files (avro 1.7.0) to HDFS,

mapred yarn kill job/application

Hi all, How do you kill a job or application when using mapred V2 yarn ? I tried the following : > mapred job -kill job_1341398677537_0020 Could not find job job_1341398677537_0020 I tried the application id, but it is invalid. I'm using CDH4. ++ benoit

RE: How to connect to a cluster by using eclipse

Jason, the easiest way to debug a MapRedupe program with eclipse is working on hadoop local. http://hadoop.apache.org/common/docs/r0.20.2/quickstart.html#Local In this mode all the components run locally on the same VM and can be easily debugged using Eclipse. Hope this will be useful. From:

How to connect to a cluster by using eclipse

Hi, all I have a hadoop cluster with 3 nodes, the network topology is like this: 1. For each DataNode, its IP address is like :192.168.0.XXX; 2. For the NameNode, it has two network cards: one is connect with the DataNodes as a local LAN with IP address 192.168.0.110, while the other one is connec

Map Task Hanging for long time for commit

I am using 0.20.2 hadoop and I find many of my Tasks are getting timed out. The task Time out is set to 10 minutes(default) : Caused by: java.lang.RuntimeException: tasktracker: Task attempt_201206280317_0052_m_00_0 failed to report status for 950 seconds. Killing! the tasks are waiting at