AFAIK, this setting is meant to throttle bandwidth usage by balancer so that
the balancing traffic will not severely impact the performance of the running
jobs. Increasing this value will show effect only when there is enough total
available bandwidth on the network. On an already overloaded
Dear all,
I'm very new to Hadoop as I'm still trying to grasp its value and purpose. I
do hope my question on this mailing list is OK.
I manage our open data platform at our municipality, using CKAN.org. It works
very well for its purpose of showing data and adding API's to data.
However,
You could refer to the header file: “src/main/native/libhdfs/hdfs.h”, you could
get the APIs in detail.
Regards,
Yi Liu
From: Demai Ni [mailto:nid...@gmail.com]
Sent: Thursday, September 04, 2014 5:21 AM
To: user@hadoop.apache.org
Subject: question about matching java API with libHDFS
hi,
Yes. We do it all the time.
The node which you move this cron job to only needs to have the hadoop
environment set up, and proper connectivity to the cluster in which it is
writing to.
On Sep 3, 2014 10:51 AM, John Lilley john.lil...@redpoint.net wrote:
Can you run the load from an edge node
I would recommend using Hadoop only if you are ingesting a lot of data
and you need reasonable performance at scale. I would recommend starting
with using insert language/tool of choice to ingest and transform data
until that process starts taking too long.
For example, one of our researchers at
I understand that coding MR jobs using a language is required but if we are
just processing large amounts of data (Machine Learning for example) we
could use Pig. I recently processed 0.25 TB on AWS clusters in a reasonably
short time. In this case the development effort is very less.
Thanks,
The reason you can't launch your datanode is:
*2014-09-04 10:20:01,677 FATAL
org.apache.hadoop.hdfs.server.datanode.DataNode: Exception in secureMain*
*java.net.BindException: Port in use: 0.0.0.0:50075 http://0.0.0.0:50075/*
It appears that you already have a datanode instance listening on port
hi, Yi A,
Thanks for your response. I took a look at hdfs.h and hdfs.c, it seems the
lib only exposes some of APIs, as there are a lot of other public methods
can be accessed through java API/client, but not implemented in libhdfs,
such as the one I am using now: DFSclient.getNamenode().
I'll appreciate reviews of the code and the API of multireducers - a way to
run a couple of map and reduce classes in the same MapReduce job.
Thanks,
https://github.com/elazarl/multireducers
Usage example:
MultiJob.create().
withMapper(SelectFirstField.class, Text.class,
Also when you look at examples pay attention to the Hadoop version. The java
API has changed a bit which can be confusing.
On Aug 28, 2014, at 10:10 AM, Amar Singh amarsingh...@gmail.com wrote:
Thank you to everyone who responded to this thread. I got couple of good
moves and got some good
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