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From Amandeep Khurana <ama...@gmail.com>
Subject Re: HDFS architecture based on GFS?
Date Tue, 17 Feb 2009 00:54:33 GMT
Ok. Thanks..

Another question now. Do the datanodes have any way of linking a particular
block of data to a global file identifier?

Amandeep


Amandeep Khurana
Computer Science Graduate Student
University of California, Santa Cruz


On Sun, Feb 15, 2009 at 9:37 PM, Matei Zaharia <matei@cloudera.com> wrote:

> In general, yeah, the scripts can access any resource they want (within the
> permissions of the user that the task runs as). It's also possible to
> access
> HDFS from scripts because HDFS provides a FUSE interface that can make it
> look like a regular file system on the machine. (The FUSE module in turn
> talks to the namenode as a regular HDFS client.)
>
> On Sun, Feb 15, 2009 at 8:43 PM, Amandeep Khurana <amansk@gmail.com>
> wrote:
>
> > I dont know much about Hadoop streaming and have a quick question here.
> >
> > The snippets of code/programs that you attach into the map reduce job
> might
> > want to access outside resources (like you mentioned). Now these might
> not
> > need to go to the namenode right? For example a python script. How would
> it
> > access the data? Would it ask the parent java process (in the
> tasktracker)
> > to get the data or would it go and do stuff on its own?
> >
> >
> > Amandeep Khurana
> > Computer Science Graduate Student
> > University of California, Santa Cruz
> >
> >
> > On Sun, Feb 15, 2009 at 8:23 PM, Matei Zaharia <matei@cloudera.com>
> wrote:
> >
> > > Nope, typically the JobTracker just starts the process, and the
> > tasktracker
> > > talks directly to the namenode to get a pointer to the datanode, and
> then
> > > directly to the datanode.
> > >
> > > On Sun, Feb 15, 2009 at 8:07 PM, Amandeep Khurana <amansk@gmail.com>
> > > wrote:
> > >
> > > > Alright.. Got it.
> > > >
> > > > Now, do the task trackers talk to the namenode and the data node
> > directly
> > > > or
> > > > do they go through the job tracker for it? So, if my code is such
> that
> > I
> > > > need to access more files from the hdfs, would the job tracker get
> > > involved
> > > > or not?
> > > >
> > > >
> > > >
> > > >
> > > > Amandeep Khurana
> > > > Computer Science Graduate Student
> > > > University of California, Santa Cruz
> > > >
> > > >
> > > > On Sun, Feb 15, 2009 at 7:20 PM, Matei Zaharia <matei@cloudera.com>
> > > wrote:
> > > >
> > > > > Normally, HDFS files are accessed through the namenode. If there
> was
> > a
> > > > > malicious process though, then I imagine it could talk to a
> datanode
> > > > > directly and request a specific block.
> > > > >
> > > > > On Sun, Feb 15, 2009 at 7:15 PM, Amandeep Khurana <
> amansk@gmail.com>
> > > > > wrote:
> > > > >
> > > > > > Ok. Got it.
> > > > > >
> > > > > > Now, when my job needs to access another file, does it go to
the
> > > > Namenode
> > > > > > to
> > > > > > get the block ids? How does the java process know where the
files
> > are
> > > > and
> > > > > > how to access them?
> > > > > >
> > > > > >
> > > > > > Amandeep Khurana
> > > > > > Computer Science Graduate Student
> > > > > > University of California, Santa Cruz
> > > > > >
> > > > > >
> > > > > > On Sun, Feb 15, 2009 at 7:05 PM, Matei Zaharia <
> matei@cloudera.com
> > >
> > > > > wrote:
> > > > > >
> > > > > > > I mentioned this case because even jobs written in Java
can use
> > the
> > > > > HDFS
> > > > > > > API
> > > > > > > to talk to the NameNode and access the filesystem. People
often
> > do
> > > > this
> > > > > > > because their job needs to read a config file, some small
data
> > > table,
> > > > > etc
> > > > > > > and use this information in its map or reduce functions.
In
> this
> > > > case,
> > > > > > you
> > > > > > > open the second file separately in your mapper's init function
> > and
> > > > read
> > > > > > > whatever you need from it. In general I wanted to point
out
> that
> > > you
> > > > > > can't
> > > > > > > know which files a job will access unless you look at its
> source
> > > code
> > > > > or
> > > > > > > monitor the calls it makes; the input file(s) you provide
in
> the
> > > job
> > > > > > > description are a hint to the MapReduce framework to place
your
> > job
> > > > on
> > > > > > > certain nodes, but it's reasonable for the job to access
other
> > > files
> > > > as
> > > > > > > well.
> > > > > > >
> > > > > > > On Sun, Feb 15, 2009 at 6:14 PM, Amandeep Khurana <
> > > amansk@gmail.com>
> > > > > > > wrote:
> > > > > > >
> > > > > > > > Another question that I have here - When the jobs
run
> arbitrary
> > > > code
> > > > > > and
> > > > > > > > access data from the HDFS, do they go to the namenode
to get
> > the
> > > > > block
> > > > > > > > information?
> > > > > > > >
> > > > > > > >
> > > > > > > > Amandeep Khurana
> > > > > > > > Computer Science Graduate Student
> > > > > > > > University of California, Santa Cruz
> > > > > > > >
> > > > > > > >
> > > > > > > > On Sun, Feb 15, 2009 at 6:00 PM, Amandeep Khurana
<
> > > > amansk@gmail.com>
> > > > > > > > wrote:
> > > > > > > >
> > > > > > > > > Assuming that the job is purely in Java and not
involving
> > > > streaming
> > > > > > or
> > > > > > > > > pipes, wouldnt the resources (files) required
by the job as
> > > > inputs
> > > > > be
> > > > > > > > known
> > > > > > > > > beforehand? So, if the map task is accessing
a second file,
> > how
> > > > > does
> > > > > > it
> > > > > > > > make
> > > > > > > > > it different except that there are multiple files.
The
> > > JobTracker
> > > > > > would
> > > > > > > > know
> > > > > > > > > beforehand that multiple files would be accessed.
Right?
> > > > > > > > >
> > > > > > > > > I am slightly confused why you have mentioned
this case
> > > > > separately...
> > > > > > > Can
> > > > > > > > > you elaborate on it a little bit?
> > > > > > > > >
> > > > > > > > > Amandeep
> > > > > > > > >
> > > > > > > > >
> > > > > > > > > Amandeep Khurana
> > > > > > > > > Computer Science Graduate Student
> > > > > > > > > University of California, Santa Cruz
> > > > > > > > >
> > > > > > > > >
> > > > > > > > > On Sun, Feb 15, 2009 at 4:47 PM, Matei Zaharia
<
> > > > matei@cloudera.com
> > > > > >
> > > > > > > > wrote:
> > > > > > > > >
> > > > > > > > >> Typically the data flow is like this:1) Client
submits a
> job
> > > > > > > description
> > > > > > > > >> to
> > > > > > > > >> the JobTracker.
> > > > > > > > >> 2) JobTracker figures out block locations
for the input
> > > file(s)
> > > > by
> > > > > > > > talking
> > > > > > > > >> to HDFS NameNode.
> > > > > > > > >> 3) JobTracker creates a job description file
in HDFS which
> > > will
> > > > be
> > > > > > > read
> > > > > > > > by
> > > > > > > > >> the nodes to copy over the job's code etc.
> > > > > > > > >> 4) JobTracker starts map tasks on the slaves
> (TaskTrackers)
> > > with
> > > > > the
> > > > > > > > >> appropriate data blocks.
> > > > > > > > >> 5) After running, maps create intermediate
output files on
> > > those
> > > > > > > slaves.
> > > > > > > > >> These are not in HDFS, they're in some temporary
storage
> > used
> > > by
> > > > > > > > >> MapReduce.
> > > > > > > > >> 6) JobTracker starts reduces on a series
of slaves, which
> > copy
> > > > > over
> > > > > > > the
> > > > > > > > >> appropriate map outputs, apply the reduce
function, and
> > write
> > > > the
> > > > > > > > outputs
> > > > > > > > >> to
> > > > > > > > >> HDFS (one output file per reducer).
> > > > > > > > >> 7) Some logs for the job may also be put
into HDFS by the
> > > > > > JobTracker.
> > > > > > > > >>
> > > > > > > > >> However, there is a big caveat, which is
that the map and
> > > reduce
> > > > > > tasks
> > > > > > > > run
> > > > > > > > >> arbitrary code. It is not unusual to have
a map that opens
> a
> > > > > second
> > > > > > > HDFS
> > > > > > > > >> file to read some information (e.g. for doing
a join of a
> > > small
> > > > > > table
> > > > > > > > >> against a big file). If you use Hadoop Streaming
or Pipes
> to
> > > > write
> > > > > a
> > > > > > > job
> > > > > > > > >> in
> > > > > > > > >> Python, Ruby, C, etc, then you are launching
arbitrary
> > > processes
> > > > > > which
> > > > > > > > may
> > > > > > > > >> also access external resources in this manner.
Some people
> > > also
> > > > > > > > read/write
> > > > > > > > >> to DBs (e.g. MySQL) from their tasks. A comprehensive
> > security
> > > > > > > solution
> > > > > > > > >> would ideally deal with these cases too.
> > > > > > > > >>
> > > > > > > > >> On Sun, Feb 15, 2009 at 3:22 PM, Amandeep
Khurana <
> > > > > amansk@gmail.com
> > > > > > >
> > > > > > > > >> wrote:
> > > > > > > > >>
> > > > > > > > >> > A quick question here. How does a typical
hadoop job
> work
> > at
> > > > the
> > > > > > > > system
> > > > > > > > >> > level? What are the various interactions
and how does
> the
> > > data
> > > > > > flow?
> > > > > > > > >> >
> > > > > > > > >> > Amandeep
> > > > > > > > >> >
> > > > > > > > >> >
> > > > > > > > >> > Amandeep Khurana
> > > > > > > > >> > Computer Science Graduate Student
> > > > > > > > >> > University of California, Santa Cruz
> > > > > > > > >> >
> > > > > > > > >> >
> > > > > > > > >> > On Sun, Feb 15, 2009 at 3:20 PM, Amandeep
Khurana <
> > > > > > amansk@gmail.com
> > > > > > > >
> > > > > > > > >> > wrote:
> > > > > > > > >> >
> > > > > > > > >> > > Thanks Matei. If the basic architecture
is similar to
> > the
> > > > > Google
> > > > > > > > >> stuff, I
> > > > > > > > >> > > can safely just work on the project
using the
> > information
> > > > from
> > > > > > the
> > > > > > > > >> > papers.
> > > > > > > > >> > >
> > > > > > > > >> > > I am aware of the 4487 jira and
the current status of
> > the
> > > > > > > > permissions
> > > > > > > > >> > > mechanism. I had a look at them
earlier.
> > > > > > > > >> > >
> > > > > > > > >> > > Cheers
> > > > > > > > >> > > Amandeep
> > > > > > > > >> > >
> > > > > > > > >> > >
> > > > > > > > >> > > Amandeep Khurana
> > > > > > > > >> > > Computer Science Graduate Student
> > > > > > > > >> > > University of California, Santa
Cruz
> > > > > > > > >> > >
> > > > > > > > >> > >
> > > > > > > > >> > > On Sun, Feb 15, 2009 at 2:40 PM,
Matei Zaharia <
> > > > > > > matei@cloudera.com>
> > > > > > > > >> > wrote:
> > > > > > > > >> > >
> > > > > > > > >> > >> Forgot to add, this JIRA details
the latest security
> > > > features
> > > > > > > that
> > > > > > > > >> are
> > > > > > > > >> > >> being
> > > > > > > > >> > >> worked on in Hadoop trunk:
> > > > > > > > >> > >> https://issues.apache.org/jira/browse/HADOOP-4487.
> > > > > > > > >> > >> This document describes the
current status and
> > > limitations
> > > > of
> > > > > > the
> > > > > > > > >> > >> permissions mechanism:
> > > > > > > > >> > >>
> > > > > > > > >>
> > > > > > >
> > > >
> http://hadoop.apache.org/core/docs/current/hdfs_permissions_guide.html
> > > > > .
> > > > > > > > >> > >>
> > > > > > > > >> > >> On Sun, Feb 15, 2009 at 2:35
PM, Matei Zaharia <
> > > > > > > matei@cloudera.com
> > > > > > > > >
> > > > > > > > >> > >> wrote:
> > > > > > > > >> > >>
> > > > > > > > >> > >> > I think it's safe to assume
that Hadoop works like
> > > > > > > MapReduce/GFS
> > > > > > > > at
> > > > > > > > >> > the
> > > > > > > > >> > >> > level described in those
papers. In particular, in
> > > HDFS,
> > > > > > there
> > > > > > > is
> > > > > > > > a
> > > > > > > > >> > >> master
> > > > > > > > >> > >> > node containing metadata
and a number of slave
> nodes
> > > > > > > (datanodes)
> > > > > > > > >> > >> containing
> > > > > > > > >> > >> > blocks, as in GFS. Clients
start by talking to the
> > > master
> > > > > to
> > > > > > > list
> > > > > > > > >> > >> > directories, etc. When
they want to read a region
> of
> > > some
> > > > > > file,
> > > > > > > > >> they
> > > > > > > > >> > >> tell
> > > > > > > > >> > >> > the master the filename
and offset, and they
> receive
> > a
> > > > list
> > > > > > of
> > > > > > > > >> block
> > > > > > > > >> > >> > locations (datanodes).
They then contact the
> > individual
> > > > > > > datanodes
> > > > > > > > >> to
> > > > > > > > >> > >> read
> > > > > > > > >> > >> > the blocks. When clients
write a file, they first
> > > obtain
> > > > a
> > > > > > new
> > > > > > > > >> block
> > > > > > > > >> > ID
> > > > > > > > >> > >> and
> > > > > > > > >> > >> > list of nodes to write
it to from the master, then
> > > > contact
> > > > > > the
> > > > > > > > >> > datanodes
> > > > > > > > >> > >> to
> > > > > > > > >> > >> > write it (actually, the
datanodes pipeline the
> write
> > as
> > > > in
> > > > > > GFS)
> > > > > > > > and
> > > > > > > > >> > >> report
> > > > > > > > >> > >> > when the write is complete.
HDFS actually has some
> > > > security
> > > > > > > > >> mechanisms
> > > > > > > > >> > >> built
> > > > > > > > >> > >> > in, authenticating users
based on their Unix ID and
> > > > > providing
> > > > > > > > >> > Unix-like
> > > > > > > > >> > >> file
> > > > > > > > >> > >> > permissions. I don't know
much about how these are
> > > > > > implemented,
> > > > > > > > but
> > > > > > > > >> > they
> > > > > > > > >> > >> > would be a good place
to start looking.
> > > > > > > > >> > >> >
> > > > > > > > >> > >> > On Sun, Feb 15, 2009 at
1:36 PM, Amandeep Khurana <
> > > > > > > > >> amansk@gmail.com
> > > > > > > > >> > >> >wrote:
> > > > > > > > >> > >> >
> > > > > > > > >> > >> >> Thanks Matie
> > > > > > > > >> > >> >>
> > > > > > > > >> > >> >> I had gone through
the architecture document
> online.
> > I
> > > > am
> > > > > > > > >> currently
> > > > > > > > >> > >> >> working
> > > > > > > > >> > >> >> on a project towards
Security in Hadoop. I do know
> > how
> > > > the
> > > > > > > data
> > > > > > > > >> moves
> > > > > > > > >> > >> >> around
> > > > > > > > >> > >> >> in the GFS but wasnt
sure how much of that does
> HDFS
> > > > > follow
> > > > > > > and
> > > > > > > > >> how
> > > > > > > > >> > >> >> different it is from
GFS. Can you throw some light
> > on
> > > > > that?
> > > > > > > > >> > >> >>
> > > > > > > > >> > >> >> Security would also
involve the Map Reduce jobs
> > > > following
> > > > > > the
> > > > > > > > same
> > > > > > > > >> > >> >> protocols. Thats why
the question about how does
> the
> > > > > Hadoop
> > > > > > > > >> framework
> > > > > > > > >> > >> >> integrate with the
HDFS, and how different is it
> > from
> > > > Map
> > > > > > > Reduce
> > > > > > > > >> and
> > > > > > > > >> > >> GFS.
> > > > > > > > >> > >> >> The GFS and Map Reduce
papers give a good
> > information
> > > on
> > > > > how
> > > > > > > > those
> > > > > > > > >> > >> systems
> > > > > > > > >> > >> >> are designed but there
is nothing that concrete
> for
> > > > Hadoop
> > > > > > > that
> > > > > > > > I
> > > > > > > > >> > have
> > > > > > > > >> > >> >> been
> > > > > > > > >> > >> >> able to find.
> > > > > > > > >> > >> >>
> > > > > > > > >> > >> >> Amandeep
> > > > > > > > >> > >> >>
> > > > > > > > >> > >> >>
> > > > > > > > >> > >> >> Amandeep Khurana
> > > > > > > > >> > >> >> Computer Science Graduate
Student
> > > > > > > > >> > >> >> University of California,
Santa Cruz
> > > > > > > > >> > >> >>
> > > > > > > > >> > >> >>
> > > > > > > > >> > >> >> On Sun, Feb 15, 2009
at 12:07 PM, Matei Zaharia <
> > > > > > > > >> matei@cloudera.com>
> > > > > > > > >> > >> >> wrote:
> > > > > > > > >> > >> >>
> > > > > > > > >> > >> >> > Hi Amandeep,
> > > > > > > > >> > >> >> > Hadoop is definitely
inspired by MapReduce/GFS
> and
> > > > aims
> > > > > to
> > > > > > > > >> provide
> > > > > > > > >> > >> those
> > > > > > > > >> > >> >> > capabilities
as an open-source project. HDFS is
> > > > similar
> > > > > to
> > > > > > > GFS
> > > > > > > > >> > (large
> > > > > > > > >> > >> >> > blocks, replication,
etc); some notable things
> > > missing
> > > > > are
> > > > > > > > >> > read-write
> > > > > > > > >> > >> >> > support in the
middle of a file (unlikely to be
> > > > provided
> > > > > > > > because
> > > > > > > > >> > few
> > > > > > > > >> > >> >> Hadoop
> > > > > > > > >> > >> >> > applications
require it) and multiple appenders
> > (the
> > > > > > record
> > > > > > > > >> append
> > > > > > > > >> > >> >> > operation). You
can read about HDFS architecture
> > at
> > > > > > > > >> > >> >> >
> > > > > > http://hadoop.apache.org/core/docs/current/hdfs_design.html
> > > > > > > .
> > > > > > > > >> The
> > > > > > > > >> > >> >> MapReduce
> > > > > > > > >> > >> >> > part of Hadoop
interacts with HDFS in the same
> way
> > > > that
> > > > > > > > Google's
> > > > > > > > >> > >> >> MapReduce
> > > > > > > > >> > >> >> > interacts with
GFS (shipping computation to the
> > > data),
> > > > > > > > although
> > > > > > > > >> > >> Hadoop
> > > > > > > > >> > >> >> > MapReduce also
supports running over other
> > > distributed
> > > > > > > > >> filesystems.
> > > > > > > > >> > >> >> >
> > > > > > > > >> > >> >> > Matei
> > > > > > > > >> > >> >> >
> > > > > > > > >> > >> >> > On Sun, Feb 15,
2009 at 11:57 AM, Amandeep
> Khurana
> > <
> > > > > > > > >> > amansk@gmail.com
> > > > > > > > >> > >> >
> > > > > > > > >> > >> >> > wrote:
> > > > > > > > >> > >> >> >
> > > > > > > > >> > >> >> > > Hi
> > > > > > > > >> > >> >> > >
> > > > > > > > >> > >> >> > > Is the HDFS
architecture completely based on
> the
> > > > > Google
> > > > > > > > >> > Filesystem?
> > > > > > > > >> > >> If
> > > > > > > > >> > >> >> it
> > > > > > > > >> > >> >> > > isnt, what
are the differences between the
> two?
> > > > > > > > >> > >> >> > >
> > > > > > > > >> > >> >> > > Secondly,
is the coupling between Hadoop and
> > HDFS
> > > > same
> > > > > > as
> > > > > > > > how
> > > > > > > > >> it
> > > > > > > > >> > is
> > > > > > > > >> > >> >> > between
> > > > > > > > >> > >> >> > > the Google's
version of Map Reduce and GFS?
> > > > > > > > >> > >> >> > >
> > > > > > > > >> > >> >> > > Amandeep
> > > > > > > > >> > >> >> > >
> > > > > > > > >> > >> >> > >
> > > > > > > > >> > >> >> > > Amandeep
Khurana
> > > > > > > > >> > >> >> > > Computer
Science Graduate Student
> > > > > > > > >> > >> >> > > University
of California, Santa Cruz
> > > > > > > > >> > >> >> > >
> > > > > > > > >> > >> >> >
> > > > > > > > >> > >> >>
> > > > > > > > >> > >> >
> > > > > > > > >> > >> >
> > > > > > > > >> > >>
> > > > > > > > >> > >
> > > > > > > > >> > >
> > > > > > > > >> >
> > > > > > > > >>
> > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
>

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