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List:       mondrian
Subject:    [Mondrian] Blog post: Improved collections classes for Mondrian's
From:       "Julian Hyde" <jhyde () pentaho ! com>
Date:       2010-02-17 2:37:40
Message-ID: A7361BCB43AA4B3DA547DC546AFA0EB7 () mackerel
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I just posted an article "Improved collections classes for Mondrian's query
execution process" to my blog. I'd like to start a design discussion.
 
http://julianhyde.blogspot.com/2010/02/improved-collections-classes-for.html
 
Julian
 

Mondrian calculations work predominantly over lists of members and tuples.
Internally, Mondrian represents lists of members as List, and represents
lists of tuples as List. (And similarly for iterators over members and
tuples.)

There are two problems with this. First, the representation of tuple lists
requires an array to be allocated for each element of the list. Allocations
cost time and memory. (Granted, we could allocate temporary arrays only when
tuples are accessed, which would cost only time. But according to my latest
round of profiling, the effort of allocating lots small arrays is
significant.)

Second, the code to deal with members and tuples has to be different. The
most extreme example of this found in the implementation of CrossJoin. There
are over 30 inner classes in CrossJoinFunDef.java, to deal with the
permutations of iterator vs. list, mutable vs. immutable, and tuple vs.
member.

In short, the java standard List and Iterator classes are not serving us
well. I think it's appropriate to introduce classes/interfaces that handle
members and tuples more uniformly, and can store, access, and iterate over
collections without lots of small arrays being created.

Here are some collection classes that I think would serve the purpose:


interface TupleList {
    int size();
    int arity();
    Member getMember(int index, int ordinal);
    TupleIterator tupleIterator();
}

interface TupleIterator {
    int arity();
    boolean hasNext();
    // writes the members of the next tuple into given array
    void next(Member[] members);
    // appends members of the next tuple to given list
    void next(List<Member> members);
}

If arity = 1 (i.e. if the list is just a collection of members) then
TupleList could easily be implemented using java.util.ArrayList.

For other arities, a list of tuples could be represented as a set of members
end-to-end. For instance, the list with two 3-tuple elements {(A1, B1, C1),
(A2, B2, C2)} would be held in a list {A1, B1, C1, A2, B2, C2} and
getMember(index, ordinal) would read element index * arity + ordinal of the
list.

Introducing these would require quite a few code changes, mostly in the
mondrian.olap.fun package, which is where the builtin functions are
implemented. There should be no changes to the user API or olap4j.

I am still debating whether this change makes sense. Usually this kind of
penny-pinching architectural change doesn't pay off. But some of them pay
off big. I've learned in Oracle, Broadbase, and SQLstream that for
high-performance data processing you shouldn't be doing any memory
allocations in an inner loop that is executed once per row. That isn't quite
practical in Java, but it's a goal to strive for. In today's CPU
architectures, where memory is slow and last-level-cache is fast, it pays to
keep data contiguous.

If you are a Mondrian developer, I'd be interested to hear what you think
about this proposed change.


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<BODY>
<DIV><SPAN class=891143401-17022010><FONT color=#000080 size=2 
face="Lucida Sans">I just posted an article "Improved collections classes for 
Mondrian's query execution process" to my blog. I'd like to start a design 
discussion.</FONT></SPAN></DIV>
<DIV><SPAN class=891143401-17022010><FONT color=#000080 size=2 
face="Lucida Sans"></FONT></SPAN>&nbsp;</DIV>
<DIV><SPAN class=891143401-17022010><A 
href="http://julianhyde.blogspot.com/2010/02/improved-collections-classes-for.html">ht \
tp://julianhyde.blogspot.com/2010/02/improved-collections-classes-for.html</A></SPAN></DIV>
 <DIV><SPAN class=891143401-17022010><FONT color=#000080 size=2 
face="Lucida Sans"></FONT></SPAN>&nbsp;</DIV>
<DIV><SPAN class=891143401-17022010><FONT color=#000080 size=2 
face="Lucida Sans">Julian</FONT></SPAN></DIV>
<DIV><SPAN class=891143401-17022010><FONT color=#000080 size=2 
face="Lucida Sans"></FONT></SPAN>&nbsp;</DIV>
<BLOCKQUOTE style="MARGIN-RIGHT: 0px" dir=ltr>
  <DIV><SPAN class=891143401-17022010><SPAN 
  style="WIDOWS: 2; TEXT-TRANSFORM: none; TEXT-INDENT: 0px; BORDER-COLLAPSE: \
separate; FONT: medium 'Times New Roman'; WHITE-SPACE: normal; ORPHANS: 2; \
LETTER-SPACING: normal; COLOR: rgb(0,0,0); WORD-SPACING: 0px; \
-webkit-border-horizontal-spacing: 0px; -webkit-border-vertical-spacing: 0px; \
-webkit-text-decorations-in-effect: none; -webkit-text-size-adjust: auto; \
-webkit-text-stroke-width: 0px"   class=Apple-style-span><SPAN 
  style="TEXT-ALIGN: left; LINE-HEIGHT: 20px; FONT-FAMILY: 'Trebuchet MS', Trebuchet, \
Verdana, sans-serif; COLOR: rgb(204,204,204); FONT-SIZE: 13px"   \
class=Apple-style-span><FONT color=#000000>Mondrian calculations work   predominantly \
over lists of members and tuples. Internally, Mondrian   represents lists of members \
as List<MEMBER>, and represents lists of tuples as   List<MEMBER[]>. (And similarly \
for iterators over members and   tuples.)<BR><BR>There are two problems with this. \
First, the representation of   tuple lists requires an array to be allocated for each \
element of the list.   Allocations cost time and memory. (Granted, we could allocate \
temporary arrays   only when tuples are accessed, which would cost only time. But \
according to my   latest round of profiling, the effort of allocating lots small \
arrays is   significant.)<BR><BR>Second, the code to deal with members and tuples has \
to   be different. The most extreme example of this found in the implementation of 
  CrossJoin. There are over 30 inner classes in CrossJoinFunDef.java, to deal 
  with the permutations of iterator vs. list, mutable vs. immutable, and tuple 
  vs. member.<BR><BR>In short, the java standard List and Iterator classes are 
  not serving us well. I think it's appropriate to introduce classes/interfaces 
  that handle members and tuples more uniformly, and can store, access, and 
  iterate over collections without lots of small arrays being 
  created.<BR><BR>Here are some collection classes that I think would serve the 
  purpose:<BR></FONT>
  <BLOCKQUOTE style="LINE-HEIGHT: 1.3em; MARGIN: 1em 20px"><FONT 
    color=#000000>interface TupleList {<BR>&nbsp;&nbsp;&nbsp;&nbsp;int 
    size();<BR>&nbsp;&nbsp;&nbsp;&nbsp;int 
    arity();<BR>&nbsp;&nbsp;&nbsp;&nbsp;Member getMember(int index, int 
    ordinal);<BR>&nbsp;&nbsp;&nbsp;&nbsp;TupleIterator 
    tupleIterator();<BR>}<BR><BR>interface TupleIterator 
    {<BR>&nbsp;&nbsp;&nbsp;&nbsp;int arity();<BR>&nbsp;&nbsp;&nbsp;&nbsp;boolean 
    hasNext();<BR>&nbsp;&nbsp;&nbsp;&nbsp;// writes the members of the next 
    tuple into given array<BR>&nbsp;&nbsp;&nbsp;&nbsp;void next(Member[] 
    members);<BR>&nbsp;&nbsp;&nbsp;&nbsp;// appends members of the next tuple to 
    given list<BR>&nbsp;&nbsp;&nbsp;&nbsp;void next(List&lt;Member&gt; 
    members);<BR>}</FONT></BLOCKQUOTE><FONT color=#000000>If arity = 1 (i.e. if 
  the list is just a collection of members) then TupleList could easily be 
  implemented using java.util.ArrayList.<BR><BR>For other arities, a list of 
  tuples could be represented as a set of members end-to-end. For instance, the 
  list with two 3-tuple elements {(A1, B1, C1), (A2, B2, C2)} would be held in a 
  list {A1, B1, C1, A2, B2, C2} and getMember(index, ordinal) would read element 
  index * arity + ordinal of the list.<BR><BR>Introducing these would require 
  quite a few code changes, mostly in the mondrian.olap.fun package, which is 
  where the builtin functions are implemented. There should be no changes to the 
  user API or olap4j.<BR><BR>I am still debating whether this change makes 
  sense. Usually this kind of penny-pinching architectural change doesn't pay 
  off. But some of them pay off big. I've learned in Oracle, Broadbase, and 
  SQLstream that for high-performance data processing you shouldn't be doing any 
  memory allocations in an inner loop that is executed once per row. That isn't 
  quite practical in Java, but it's a goal to strive for. In today's CPU 
  architectures, where memory is slow and last-level-cache is fast, it pays to 
  keep data contiguous.<BR><BR>If you are a Mondrian developer, I'd be 
  interested to hear what you think about this proposed 
  change.</MEMBER[]></MEMBER></FONT></SPAN></SPAN></SPAN></DIV></BLOCKQUOTE></BODY></HTML>




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