They are both for machine learning. Classification is known as "supervised
learning" where you feed the engine data of known patterns and instruct it
what are the key nodes. Clustering is "unsupervised learning" where you
allow the algorithm to "guess" at what is significant in the correlations
pic
Nikhil,
One of the problems you run into with Hadoop in Virtual Machine
environments is performance issues when they are all running on the same
physical host. With a VM, even though you are giving them 4 GB of RAM, and
a virtual CPU and disk, if the virtual machines are sharing physical
component
Hello,
In my experience with Flume, watching the HDFS Sink verbose output, I know
that even after a file has flushed, but is still open, it reads as a 0-byte
file, even if there is actually data contained in the file.
A HDFS "file" is a meta-location that can accept streaming input for as
long as
I think most of your problem is coming from the options you are setting:
"hadoop jar
/hduser/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar
wordcount *-fs local -jt local* /hduser/mount_point/ /results"
You appear to be directing your namenode to run jobs in the *LOCAL* job
ru
Yes, there will be the issue of bottlenecking too. There are lots of newer
distributed filesystem formats that work well with Hadoop, if you don't
want to do HDFS.
If you are using a traditional filesystem, you aren't getting any parallel
work done - there's only on file to work on, in one piece.
The (509) error is telling you what the problem is:
"This account's public links are generating too much traffic and have been
temporarily disabled!"
Which seems to mean, since it is Dropbox. there has been too much traffic
directed towards the file or to other public links owned by the hoster's
Hi,
I am trying to puzzle this out, and am hoping for some insight - I have an
IMAP inbox dump that I am analyzing - I need to track how many times a
given item is referred to in the inbox, i.e. how many emails came in about
that thing and over what time. I can load it into MapReduce as
TextInputF
> Are you perhaps looking for http://james.apache.org/mime4j/? You may have
> to adapt it for MR but I don't imagine that would be too difficult to do.
>
> On Mon, Dec 30, 2013 at 11:59 PM, Devin Suiter RDX wrote:
>
>> Hi,
>>
>> I am trying to puzzle this out, a
Based on the Exception type, it looks like something in your job is looking
for a valid value, and not finding it.
You will probably need to share the job code for people to help with this -
to my eyes, this doesn't appear to be a Hadoop configuration issue, or any
kind of problem with how the sys
Installing Hadoop will install HDFS, and you will need to declare storage
directories on the host nodes, etc. There is also the question of what
setup you want to use, there is what is called "pseudo-distributed" mode
where all the Hadoop daemons are running in one host.
Are you a student looking
Amit,
Have you explored chainMapper class?
*Devin Suiter*
Jr. Data Solutions Software Engineer
100 Sandusky Street | 2nd Floor | Pittsburgh, PA 15212
Google Voice: 412-256-8556 | www.rdx.com
On Sun, Jan 12, 2014 at 7:28 PM, John Lilley wrote:
> Isn’t this is what you’d normally do in the Mapp
com
On Mon, Jan 13, 2014 at 12:39 PM, Amit Sela wrote:
> More than a solution, I'd like to know if a combiner is allowed to change
> the key ? will it interfere with the mappers sort/merge ?
>
>
> On Mon, Jan 13, 2014 at 3:06 PM, Devin Suiter RDX wrote:
>
>>
Hi,
I just want to throw out a discussion topic on federation.
Reading *The Definitive Guide* on HDFS, it sounds like when federating,
every distinct namespace needs a distinct namenode machine instance.
This means if a company wanted three namespaces, say retail, commercial,
government, they wo
Also Raj - if you're using pseudo-distributed mode, the replication factor
will be 1. This is part of pseudo-distributed configuration. So if you're
working on a Cloudera preconfigured machine image, for example, it's not
wrong that 'hadoop fs -ls' shows all files as replicated 1 times.
*Devin Sui
Edward,
It doesn't seem like your "hadoop -put ..." command will even complete -
the master isn't receiving the file at any point. It instructs the node1 to
connect to the client, after asking the node1 if it is in a state that it
can receive data to be written, which depends on several other daem
You should also clarify for the group:
Do you want to make a virtual machine to run a pseudo-distributed Hadoop
cluster on?
Or
Do you want to install Hadoop directly onto the Vista machine and run it
there?
If the former, you should be able to set up a VM just fine with a Linux
version of your
bit
>
> still looking for a 32 bit version of Hortonworks sand box 2.0
>
> Hortonworks seems to be very stable and good so far, very easy to set up
>
> what does this mean; set up P-D mode on it?
>
> :O
>
> thanks for the reply
>
> *From:* Devin Suiter RDX
http://sortbenchmark.org/
Doesn't just cover Hadoop, but maybe the methodology will give you an idea
of what you're looking for.
There's too many variables to pin down a "general" average. Every job will
run differently on every cluster, given the machines can be heterogenous
builds, with heterog
Or, as another example, I'm writing a program to analyze a large email
dump. The emails are more than one line. TextInputFormat will split them up
by line, in addition to deserializing them to text. I'm going to need to
customize RecordReader to split based on the MIME metadata length of the
emails
Hi,
Has anyone used Hadoop Filecrush?
http://www.jointhegrid.com/hadoop_filecrush/
I was just curious about the reliability and integrity of it.
It seems like a nice concept. But, if it is a nice concept and trustworthy,
it should be looked at for incorporating under BigTop, one would think. Th
If you only want one file, then you need to set the number of reducers to 1.
If the size of the data makes the original MR job impractical to use a
single reducer, you run a second job on the output of the first, with the
default mapper and reducer, which are the Identity- ones, and set that
numRe
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