hash() yields different results for different platforms

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  • Qiangning Hong

    #1

    hash() yields different results for different platforms

    I'm writing a spider. I have millions of urls in a table (mysql) to
    check if a url has already been fetched. To check fast, I am
    considering to add a "hash" column in the table, make it a unique key,
    and use the following sql statement:
    insert ignore into urls (url, hash) values (newurl, hash_of_newurl)
    to add new url.

    I believe this will be faster than making the "url" column unique key
    and doing string comparation. Right?

    However, when I come to Python's builtin hash() function, I found it
    produces different values in my two computers! In a pentium4,
    hash('a') --468864544; in a amd64, hash('a') -12416037344. Does
    hash function depend on machine's word length?

    If it does, I must consider another hash algorithm because the spider
    will run concurrently in several computers, some are 32-bit, some are
    64-bit. Is md5 a good choice? Will it be too slow that I have no
    performance gain than using the "url" column directly as the unique
    key?

    I will do some benchmarking to find it out. But while making my hands
    dirty, I would like to hear some advice from experts here. :)

  • Paul Rubin

    #2
    Re: hash() yields different results for different platforms

    "Qiangning Hong" <hongqn@gmail.c omwrites:
    However, when I come to Python's builtin hash() function, I found it
    produces different values in my two computers! In a pentium4,
    hash('a') --468864544; in a amd64, hash('a') -12416037344. Does
    hash function depend on machine's word length?
    The hash function is unspecified and can depend on anything the
    implementers feel like. It may(?) even be permitted to differ from
    one run of the interpreter to another (I haven't checked the spec for
    this). Don't count on it being consistent from machine to machine.
    If it does, I must consider another hash algorithm because the spider
    will run concurrently in several computers, some are 32-bit, some are
    64-bit. Is md5 a good choice? Will it be too slow that I have no
    performance gain than using the "url" column directly as the unique key?
    If you're going to accept the overhead of an SQL database you might as
    well enjoy the use of the abstraction it gives you, instead of trying
    to implement what amounts to your own form of indexing instead of
    letting the db take care of it. But md5(url) is certainly very fast
    compared with processing the outgoing http connection that you
    presumably plan to open for each url.
    I will do some benchmarking to find it out.
    That's the right way to answer questions like this.

    Comment

    • Grant Edwards

      #3
      Re: hash() yields different results for different platforms

      On 2006-07-11, Qiangning Hong <hongqn@gmail.c omwrote:
      I'm writing a spider. I have millions of urls in a table (mysql) to
      check if a url has already been fetched. To check fast, I am
      considering to add a "hash" column in the table, make it a unique key,
      and use the following sql statement:
      insert ignore into urls (url, hash) values (newurl, hash_of_newurl)
      to add new url.
      >
      I believe this will be faster than making the "url" column unique key
      and doing string comparation. Right?
      I doubt it will be significantly faster. Comparing two strings
      and hashing a string are both O(N).
      However, when I come to Python's builtin hash() function, I
      found it produces different values in my two computers! In a
      pentium4, hash('a') --468864544; in a amd64, hash('a') ->
      12416037344. Does hash function depend on machine's word
      length?
      Apparently. :)

      The low 32 bits match, so perhaps you should just use that
      portion of the returned hash?
      >>hex(124160373 44)
      '0x2E40DB1E0L'
      >>hex(-468864544 & 0xfffffffffffff fff)
      '0xFFFFFFFFE40D B1E0L'
      >>hex(124160373 44 & 0xffffffff)
      '0xE40DB1E0L'
      >>hex(-468864544 & 0xffffffff)
      '0xE40DB1E0L'

      --
      Grant Edwards grante Yow! Uh-oh!! I forgot
      at to submit to COMPULSORY
      visi.com URINALYSIS!

      Comment

      • Carl Banks

        #4
        Re: hash() yields different results for different platforms

        Grant Edwards wrote:
        On 2006-07-11, Qiangning Hong <hongqn@gmail.c omwrote:
        >
        I'm writing a spider. I have millions of urls in a table (mysql) to
        check if a url has already been fetched. To check fast, I am
        considering to add a "hash" column in the table, make it a unique key,
        and use the following sql statement:
        insert ignore into urls (url, hash) values (newurl, hash_of_newurl)
        to add new url.

        I believe this will be faster than making the "url" column unique key
        and doing string comparation. Right?
        >
        I doubt it will be significantly faster. Comparing two strings
        and hashing a string are both O(N).
        Playing Devil's Advocate: The hash would be a one-time operation during
        database insertion, whereas string comparison would happen every
        search. Conceivably, comparing hash strings (which is O(1)) could
        result in a big savings compared to comparing regular strings; but I
        expect most decent sql implementations already hash data internally, so
        rolling your own hash would be useless at best.

        If the OP's database is lacking, md5 is probably fine. Perhaps using a
        subset of the md5 (the low 32 bits, say) could speed up comparisons at
        risk of more collisions. Probably a good trade off unless the DB is
        humungous.


        Carl Banks

        Comment

        • Qiangning Hong

          #5
          Re: hash() yields different results for different platforms

          Grant Edwards wrote:
          On 2006-07-11, Qiangning Hong <hongqn@gmail.c omwrote:
          However, when I come to Python's builtin hash() function, I
          found it produces different values in my two computers! In a
          pentium4, hash('a') --468864544; in a amd64, hash('a') ->
          12416037344. Does hash function depend on machine's word
          length?
          >
          Apparently. :)
          >
          The low 32 bits match, so perhaps you should just use that
          portion of the returned hash?
          >
          >hex(1241603734 4)
          '0x2E40DB1E0L'
          >hex(-468864544 & 0xfffffffffffff fff)
          '0xFFFFFFFFE40D B1E0L'
          >
          >hex(1241603734 4 & 0xffffffff)
          '0xE40DB1E0L'
          >hex(-468864544 & 0xffffffff)
          '0xE40DB1E0L'
          Is this relationship (same low 32 bits) guaranteed? Will it change in
          the future version?

          Comment

          • Tim Peters

            #6
            Re: hash() yields different results for different platforms

            [Grant Edwards]
            >...
            >The low 32 bits match, so perhaps you should just use that
            >portion of the returned hash?
            >>
            >>hex(124160373 44)
            >'0x2E40DB1E0 L'
            >>hex(-468864544 & 0xfffffffffffff fff)
            >'0xFFFFFFFFE40 DB1E0L'
            >>
            >>hex(124160373 44 & 0xffffffff)
            >'0xE40DB1E0L '
            >>hex(-468864544 & 0xffffffff)
            >'0xE40DB1E0L '
            [Qiangning Hong]
            Is this relationship (same low 32 bits) guaranteed?
            No. Nothing about hashes is guaranteed, except that when x and y are
            of a hashable type, and x == y, then hash(x) == hash(y) too.
            Will it change in the future version?
            That's possible, but not planned. Note that the guts of string
            hashing in CPython today is implemented via

            while (--len >= 0)
            x = (1000003*x) ^ *p++;

            where x is C type "long", and the C language doesn't even define what
            that does (behavior when signed multiplication overflows isn't defined
            in C).

            Comment

            • Fredrik Lundh

              #7
              Re: hash() yields different results for different platforms

              Qiangning Hong wrote:
              /.../ add a "hash" column in the table, make it a unique key
              at this point, you should have slapped yourself on the forehead, and gone
              back to the drawing board.

              </F>



              Comment

              • Nick Vatamaniuc

                #8
                Re: hash() yields different results for different platforms

                Using Python's hash as column in the table might not be a good idea.
                You just found out why. So you could instead just use the base url and
                create an index based on that so next time just quickly get all urls
                from same base address then do a linear search for a specific one, or
                even easier, implement your own hashes without using any of the
                Python's built-in hash() functions. For example, transform each
                character to an int and multply them all mod 2^32-1 or something like
                that. Even better I think someone already posted the Python's way of
                generating hashes for string, well, just re-implement it in Python such
                that your version will yield the same hash on any platform.

                Hope this helps,
                Nick V.

                Qiangning Hong wrote:
                I'm writing a spider. I have millions of urls in a table (mysql) to
                check if a url has already been fetched. To check fast, I am
                considering to add a "hash" column in the table, make it a unique key,
                and use the following sql statement:
                insert ignore into urls (url, hash) values (newurl, hash_of_newurl)
                to add new url.
                >
                I believe this will be faster than making the "url" column unique key
                and doing string comparation. Right?
                >
                However, when I come to Python's builtin hash() function, I found it
                produces different values in my two computers! In a pentium4,
                hash('a') --468864544; in a amd64, hash('a') -12416037344. Does
                hash function depend on machine's word length?
                >
                If it does, I must consider another hash algorithm because the spider
                will run concurrently in several computers, some are 32-bit, some are
                64-bit. Is md5 a good choice? Will it be too slow that I have no
                performance gain than using the "url" column directly as the unique
                key?
                >
                I will do some benchmarking to find it out. But while making my hands
                dirty, I would like to hear some advice from experts here. :)

                Comment

                • Piet van Oostrum

                  #9
                  Re: hash() yields different results for different platforms

                  >>>>Grant Edwards <grante@visi.co m(GE) wrote:
                  >GEThe low 32 bits match, so perhaps you should just use that
                  >GEportion of the returned hash?
                  If the hashed should be unique, 32 bits is much too low if you have
                  millions of entries.
                  --
                  Piet van Oostrum <piet@cs.uu.n l>
                  URL: http://www.cs.uu.nl/~piet [PGP 8DAE142BE17999C 4]
                  Private email: piet@vanoostrum .org

                  Comment

                  • Grant Edwards

                    #10
                    Re: hash() yields different results for different platforms

                    On 2006-07-12, Carl Banks <invalidemail@a erojockey.comwr ote:
                    Grant Edwards wrote:
                    >On 2006-07-11, Qiangning Hong <hongqn@gmail.c omwrote:
                    >>
                    I'm writing a spider. I have millions of urls in a table (mysql) to
                    check if a url has already been fetched. To check fast, I am
                    considering to add a "hash" column in the table, make it a unique key,
                    and use the following sql statement:
                    insert ignore into urls (url, hash) values (newurl, hash_of_newurl)
                    to add new url.
                    >
                    I believe this will be faster than making the "url" column unique key
                    and doing string comparation. Right?
                    >>
                    >I doubt it will be significantly faster. Comparing two strings
                    >and hashing a string are both O(N).
                    >
                    Playing Devil's Advocate: The hash would be a one-time operation during
                    database insertion, whereas string comparison would happen every
                    search.
                    Good point.
                    Conceivably, comparing hash strings (which is O(1)) could
                    result in a big savings compared to comparing regular strings;
                    Still, I doubt that the URLs are long enough so that there's a
                    significant difference.
                    but I expect most decent sql implementations already hash data
                    internally, so rolling your own hash would be useless at best.
                    Precisely. DB designers and implementers have been working on
                    this problem for 30 years. I doubt the OP is going to be able
                    to best them with a few minutes work.
                    If the OP's database is lacking, md5 is probably fine. Perhaps
                    using a subset of the md5 (the low 32 bits, say) could speed
                    up comparisons at risk of more collisions. Probably a good
                    trade off unless the DB is humungous.
                    My advice: do it the simple way first (let the DB handle it).
                    Don't try to fix a problem until you know it exists.

                    Premature optimization... .

                    --
                    Grant Edwards grante Yow! It's strange, but I'm
                    at only TRULY ALIVE when I'm
                    visi.com covered in POLKA DOTS and
                    TACO SAUCE...

                    Comment

                    • Grant Edwards

                      #11
                      Re: hash() yields different results for different platforms

                      On 2006-07-12, Qiangning Hong <hongqn@gmail.c omwrote:
                      Grant Edwards wrote:
                      >On 2006-07-11, Qiangning Hong <hongqn@gmail.c omwrote:
                      However, when I come to Python's builtin hash() function, I
                      found it produces different values in my two computers! In a
                      pentium4, hash('a') --468864544; in a amd64, hash('a') ->
                      12416037344. Does hash function depend on machine's word
                      length?
                      >>
                      >Apparently. :)
                      >>
                      >The low 32 bits match, so perhaps you should just use that
                      >portion of the returned hash?
                      >>
                      >>hex(124160373 44)
                      >'0x2E40DB1E0 L'
                      >>hex(-468864544 & 0xfffffffffffff fff)
                      >'0xFFFFFFFFE40 DB1E0L'
                      >>
                      >>hex(124160373 44 & 0xffffffff)
                      >'0xE40DB1E0L '
                      >>hex(-468864544 & 0xffffffff)
                      >'0xE40DB1E0L '
                      >
                      Is this relationship (same low 32 bits) guaranteed?
                      No, I don't believe so.
                      Will it change in the future version?
                      It may.

                      --
                      Grant Edwards grante Yow! Is this an out-take
                      at from the "BRADY BUNCH"?
                      visi.com

                      Comment

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