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Re^2: How to bucket an Hash

by techman2006 (Beadle)
on Nov 27, 2013 at 16:53 UTC ( [id://1064652]=note: print w/replies, xml ) Need Help??


in reply to Re: How to bucket an Hash
in thread How to bucket an Hash

The hash contains list of directories which need to be archived.

Also there is a constrains about how many threads we can use for a process.

Below is small use case for which I am trying to solve the problem using threads.

  1. Scan a directory to find how many directory we have to archive.
  2. Now make a entry in DB to keep track of files we are looking forward to work on.
  3. Now archive directory. Once the operation is successful update DB with that set of files.

Now I am trying to multi-thread where each thread will work on a fixed size set.

One of the bottleneck I see the DB handler which I think can't be shared across threads. I think that is limitation of DBI. So any thought to over come this bottle neck will be great.

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Re^3: How to bucket an Hash
by BrowserUk (Patriarch) on Nov 27, 2013 at 17:21 UTC
    The hash contains list of directories which need to be archived.

    If it is a list, why is it in a hash rather than an array?


    With the rise and rise of 'Social' network sites: 'Computers are making people easier to use everyday'
    Examine what is said, not who speaks -- Silence betokens consent -- Love the truth but pardon error.
    "Science is about questioning the status quo. Questioning authority".
    In the absence of evidence, opinion is indistinguishable from prejudice.

      Hash keys are directories and values are list of files that need to be archived.

Re^3: How to bucket an Hash
by BrowserUk (Patriarch) on Nov 27, 2013 at 18:24 UTC
    Now I am trying to multi-thread where each thread will work on a fixed size set.

    As Random_walk pointed out, splitting work in equal-sized chunks for threading is not a good strategy.

    Some of your directories will contain less files than others, and some will contain only small files and others large files; so it is easy to see that some of your threads will finish more quickly than others which doesn't distribute the workload evenly.

    A better approach would be to make the hash shared, and then queue the keys to the hash (the directory names) to a Thread::Queue and let the threads pick their work directories from there. Thus, the threads becomes self balancing.

    That said, I have very profound doubts that threading your application will have any great benefit to your throughput if the directories you are backing up exist on a single physical volume. The problem is that if you have multiple threads (or processes) reading files concurrently from the same physical drive, you will likely create severe head-thrash and so, slow the overall throughput rather than increase it.

    Even if your files are distributed across multiple spindles -- with SAS or raid or similar -- it is still dubious whether you will achieve huge benefits unless you could isolate the location of your files so that you could ensure that only one file from each physical unit was being read at any given time. Mostly, this is not possible as these multi-spindle setups tend to split files across multiple physical volumes transparently to the file system.


    With the rise and rise of 'Social' network sites: 'Computers are making people easier to use everyday'
    Examine what is said, not who speaks -- Silence betokens consent -- Love the truth but pardon error.
    "Science is about questioning the status quo. Questioning authority".
    In the absence of evidence, opinion is indistinguishable from prejudice.

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