Hi all,

I've tried the following JSON query with zorba, mimicking a NxN, with
N=200, matrix multiplications. Time is 10 sec on http://try.zorba.io/,
behaving with a cubic N^3 complexitity.
Do you really want to know what are the performances of standard linear
algebra library for such matrix multiplications ?




import module namespace datetime = "
http://www.zorba-xquery.com/modules/datetime";;

declare variable $size := 200;

declare variable $A := [ for $i in 1 to $size return
    [
        for $j in 1 to $size return $i*$size+$j
    ]
];

let $R := ( datetime:current-time(),
  [
    for $i in 1 to count(jn:members($A)) return
    [
      for $k in 1 to count(jn:members($A)) return
        fn:sum(
          for $j in 1 to count(jn:members($A)) return
            $A($i)($j) * $A($j)($k)
        )
    ]
  ]
, datetime:current-time() )

return $R[count($R)] - $R[1]


2014-02-03 David Carlisle <[email protected]>:

> On 03/02/2014 10:56, Hermann Stamm-Wilbrandt wrote:
>
>> PT1.713634S (JSONiq) versus PT9.77805S (XQuery)
>>
>
>
> ooh interesting , I wonder where the bottleneck in the xquery is.
> Probably as Michael commented at some point earlier in the thread, the
> time to access the ith element of a sequence $a[$i].
>
>
> But the language doesn't _need_ to change, just if more people did it
> the xquery compilers would perhaps look out for sequences that are
> exclusively accessed via numeric filters and implement them in a way
> that gives constant time access. Having a separate array type does give
> them a big hint though:-)
>
> David
>
>
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