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From Thomas Jungblut <thomas.jungb...@gmail.com>
Subject Re: runtimePartitioning in GraphJobRunner
Date Mon, 10 Dec 2012 11:47:44 GMT
Just wanted to remind you why we introduced runtime partitioning.

2012/12/10 Edward J. Yoon <edwardyoon@apache.org>

> HDFS is common. It's not tunable for only Hama BSP computing.
>
> > Yes, so spilling on disk is the easiest solution to save memory. Not
> > changing the partitioning.
> > If you want to split again through the block boundaries to distribute the
> > data through the cluster, then do it, but this is plainly wrong.
>
> Vertex load balancing is basically uses Hash partitioner. You can't
> avoid data transfers.
>
> Again...,
>
> VertexInputReader and runtime partitioning make code complex as I
> mentioned above.
>
> > This reader is needed, so people can create vertices from their own
> fileformat.
>
> I don't think so. Instead of VertexInputReader, we can provide <K
> extends WritableComparable, V extends ArrayWritable>.
>
> Let's assume that there's a web table in Google's BigTable (HBase).
> User can create their own WebTableInputFormatter to read records as a
> <Text url, TextArrayWritable anchors>. Am I wrong?
>
> On Mon, Dec 10, 2012 at 8:21 PM, Thomas Jungblut
> <thomas.jungblut@gmail.com> wrote:
> > Yes, because changing the blocksize to 32m will just use 300mb of memory,
> > so you can add more machines to fit the number of resulting tasks.
> >
> > If each node have small memory, there's no way to process in memory
> >
> >
> > Yes, so spilling on disk is the easiest solution to save memory. Not
> > changing the partitioning.
> > If you want to split again through the block boundaries to distribute the
> > data through the cluster, then do it, but this is plainly wrong.
> >
> > 2012/12/10 Edward J. Yoon <edwardyoon@apache.org>
> >
> >> > A Hama cluster is scalable. It means that the computing capacity
> >> >> should be increased by adding slaves. Right?
> >> >
> >> >
> >> > I'm sorry, but I don't see how this relates to the vertex input
> reader.
> >>
> >> Not related with input reader. It related with partitioning and load
> >> balancing. As I reported to you before, to process vertices within
> >> 256MB block, each TaskRunner requied 25~30GB memory.
> >>
> >> If each node have small memory, there's no way to process in memory
> >> without changing block size of HDFS.
> >>
> >> Do you think this is scalable?
> >>
> >> On Mon, Dec 10, 2012 at 7:59 PM, Thomas Jungblut
> >> <thomas.jungblut@gmail.com> wrote:
> >> > Oh okay, so if you want to remove that, have a lot of fun. This
> reader is
> >> > needed, so people can create vertices from their own fileformat.
> >> > Going back to a sequencefile input will not only break backward
> >> > compatibility but also make the same issues we had before.
> >> >
> >> > A Hama cluster is scalable. It means that the computing capacity
> >> >> should be increased by adding slaves. Right?
> >> >
> >> >
> >> > I'm sorry, but I don't see how this relates to the vertex input
> reader.
> >> >
> >> > 2012/12/10 Edward J. Yoon <edwardyoon@apache.org>
> >> >
> >> >> A Hama cluster is scalable. It means that the computing capacity
> >> >> should be increased by adding slaves. Right?
> >> >>
> >> >> As I mentioned before, disk-queue and storing vertices on local disk
> >> >> are not urgent.
> >> >>
> >> >> In short, yeah, I wan to remove VertexInputReader and runtime
> >> >> partition in Graph package.
> >> >>
> >> >> See also,
> >> >>
> >>
> https://issues.apache.org/jira/browse/HAMA-531?focusedCommentId=13527756&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-13527756
> >> >>
> >> >> On Mon, Dec 10, 2012 at 7:31 PM, Thomas Jungblut
> >> >> <thomas.jungblut@gmail.com> wrote:
> >> >> > uhm, I have no idea what you want to archieve, do you want to
get
> >> back to
> >> >> > client-side partitioning?
> >> >> >
> >> >> > 2012/12/10 Edward J. Yoon <edwardyoon@apache.org>
> >> >> >
> >> >> >> If there's no opinion, I'll remove VertexInputReader in
> >> >> >> GraphJobRunner, because it make code complex. Let's consider
again
> >> >> >> about the VertexInputReader, after fixing HAMA-531 and HAMA-632
> >> >> >> issues.
> >> >> >>
> >> >> >> On Fri, Dec 7, 2012 at 9:35 AM, Edward J. Yoon <
> >> edwardyoon@apache.org>
> >> >> >> wrote:
> >> >> >> > Or, I'd like to get rid of VertexInputReader.
> >> >> >> >
> >> >> >> > On Fri, Dec 7, 2012 at 9:30 AM, Edward J. Yoon <
> >> edwardyoon@apache.org
> >> >> >
> >> >> >> wrote:
> >> >> >> >> In fact, there's no choice but to use runtimePartitioning
> >> (because of
> >> >> >> >> VertexInputReader). Right? If so, I would like to
delete all
> "if
> >> >> >> >> (runtimePartitioning) {" conditions.
> >> >> >> >>
> >> >> >> >> --
> >> >> >> >> Best Regards, Edward J. Yoon
> >> >> >> >> @eddieyoon
> >> >> >> >
> >> >> >> >
> >> >> >> >
> >> >> >> > --
> >> >> >> > Best Regards, Edward J. Yoon
> >> >> >> > @eddieyoon
> >> >> >>
> >> >> >>
> >> >> >>
> >> >> >> --
> >> >> >> Best Regards, Edward J. Yoon
> >> >> >> @eddieyoon
> >> >> >>
> >> >>
> >> >>
> >> >>
> >> >> --
> >> >> Best Regards, Edward J. Yoon
> >> >> @eddieyoon
> >> >>
> >>
> >>
> >>
> >> --
> >> Best Regards, Edward J. Yoon
> >> @eddieyoon
> >>
>
>
>
> --
> Best Regards, Edward J. Yoon
> @eddieyoon
>

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