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  1. Make nodeSort.c use Datum sorts for single column sorts

  1. [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ronan Dunklau <ronan.dunklau@aiven.io> — 2021-07-06T06:15:41Z

    Hello,
    
    While testing the patch "Add proper planner support for ORDER BY / DISTINCT 
    aggregates" [0] I discovered the performance penalty from adding a sort node 
    essentially came from not using the single-datum tuplesort optimization in 
    ExecSort (contrary to the sorting done in ExecAgg).
    
    I originally proposed this patch as a companion in the same thread [1], but 
    following James suggestion I'm making a separate thread just for this as the 
    optimization is worthwhile independently of David's patch: it looks like we 
    can expect a 2x speedup on a "select a single ordered column" case.
    
    The patch aimed to be as simple as possible: we only turn this optimization on 
    when the tuple being sorted has only one attribute, it is "byval" (so as not 
    to incur copies which would be hard to track in the execution tree) and 
    unbound (again, not having to deal with copying borrowed datum anywhere).
    
    The attached patch is originally by me, with some cleanup by Ranier Vilela. 
    I'm sending Ranier's version here.
    
    
    [0]: https://commitfest.postgresql.org/33/3164/
    [1]: https://www.postgresql.org/message-id/4480689.ObhdGn8bVM%40aivenronan
    
    -- 
    Ronan Dunklau
  2. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-06T11:25:04Z

    Em ter., 6 de jul. de 2021 às 03:15, Ronan Dunklau <ronan.dunklau@aiven.io>
    escreveu:
    
    > Hello,
    >
    > While testing the patch "Add proper planner support for ORDER BY /
    > DISTINCT
    > aggregates" [0] I discovered the performance penalty from adding a sort
    > node
    > essentially came from not using the single-datum tuplesort optimization in
    > ExecSort (contrary to the sorting done in ExecAgg).
    >
    > I originally proposed this patch as a companion in the same thread [1],
    > but
    > following James suggestion I'm making a separate thread just for this as
    > the
    > optimization is worthwhile independently of David's patch: it looks like
    > we
    > can expect a 2x speedup on a "select a single ordered column" case.
    >
    > The patch aimed to be as simple as possible: we only turn this
    > optimization on
    > when the tuple being sorted has only one attribute, it is "byval" (so as
    > not
    > to incur copies which would be hard to track in the execution tree) and
    > unbound (again, not having to deal with copying borrowed datum anywhere).
    >
    > The attached patch is originally by me, with some cleanup by Ranier
    > Vilela.
    > I'm sending Ranier's version here.
    >
    Nice Ronan.
    But I think there is some confusion here.
    The author is not you?
    
    Just to clarify, at Commitfest, it was supposed to be the other way around.
    You as an author and David as a reviewer.
    I'll put myself as a reviewer too.
    
    regards,
    Ranier Vilela
    
  3. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-06T11:48:51Z

    Em ter., 6 de jul. de 2021 às 08:25, Ranier Vilela <ranier.vf@gmail.com>
    escreveu:
    
    > Em ter., 6 de jul. de 2021 às 03:15, Ronan Dunklau <ronan.dunklau@aiven.io>
    > escreveu:
    >
    >> Hello,
    >>
    >> While testing the patch "Add proper planner support for ORDER BY /
    >> DISTINCT
    >> aggregates" [0] I discovered the performance penalty from adding a sort
    >> node
    >> essentially came from not using the single-datum tuplesort optimization
    >> in
    >> ExecSort (contrary to the sorting done in ExecAgg).
    >>
    >> I originally proposed this patch as a companion in the same thread [1],
    >> but
    >> following James suggestion I'm making a separate thread just for this as
    >> the
    >> optimization is worthwhile independently of David's patch: it looks like
    >> we
    >> can expect a 2x speedup on a "select a single ordered column" case.
    >>
    >> The patch aimed to be as simple as possible: we only turn this
    >> optimization on
    >> when the tuple being sorted has only one attribute, it is "byval" (so as
    >> not
    >> to incur copies which would be hard to track in the execution tree) and
    >> unbound (again, not having to deal with copying borrowed datum anywhere).
    >>
    >> The attached patch is originally by me, with some cleanup by Ranier
    >> Vilela.
    >> I'm sending Ranier's version here.
    >>
    > Nice Ronan.
    > But I think there is some confusion here.
    > The author is not you?
    >
    > Just to clarify, at Commitfest, it was supposed to be the other way around.
    > You as an author and David as a reviewer.
    > I'll put myself as a reviewer too.
    >
    Sorry David, my mistake.
    I confused the numbers (id) of Commitfest.
    
    regards,
    Ranier Vilela
    
  4. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    James Coleman <jtc331@gmail.com> — 2021-07-06T13:19:36Z

    Adding David since this patch is likely a precondition for [1].
    
    On Tue, Jul 6, 2021 at 2:15 AM Ronan Dunklau <ronan.dunklau@aiven.io> wrote:
    >
    > Hello,
    >
    > While testing the patch "Add proper planner support for ORDER BY / DISTINCT
    > aggregates" [0] I discovered the performance penalty from adding a sort node
    > essentially came from not using the single-datum tuplesort optimization in
    > ExecSort (contrary to the sorting done in ExecAgg).
    >
    > I originally proposed this patch as a companion in the same thread [1], but
    > following James suggestion I'm making a separate thread just for this as the
    > optimization is worthwhile independently of David's patch: it looks like we
    > can expect a 2x speedup on a "select a single ordered column" case.
    >
    > The patch aimed to be as simple as possible: we only turn this optimization on
    > when the tuple being sorted has only one attribute, it is "byval" (so as not
    > to incur copies which would be hard to track in the execution tree) and
    > unbound (again, not having to deal with copying borrowed datum anywhere).
    
    Thanks again for finding this and working up a patch.
    
    I've taken a look, and while I haven't dug into testing it yet, I have
    a few comments.
    
    First, the changes are lacking any explanatory comments. Probably we
    should follow how nodeAgg does this and add both comments to the
    ExecSort function header as well as specific comments above the "if"
    around the new tuplesort_begin_datum explaining the specific
    conditions that are required for the optimization to be useful and
    safe.
    
    That leads to a question I had: I don't follow why bounded mode (when
    using byval) needs to be excluded. Comments should be added if there's
    a good reason (as noted above), but maybe it's a case we can handle
    safely?
    
    A second question: at first glance it's intuitively the case we might
    not be able to handle byref values. But nodeAgg doesn't seem to have
    that restriction. What's the difference here?
    
    A few small code observations:
    - In my view the addition of unlikely() in ExecSort is unlikely to be
    of benefit because it's a single call for the entire node's execution
    (not in the tuple loop).
    - It seems clearer to change the "if (!node->is_single_val)" to flip
    the true/false cases so we don't need the negation.
    - I assume there are tests that likely already cover this case, but
    it'd be worth verifying that.
    
    Finally, I believe the same optimization likely ought to be added to
    nodeIncrementalSort. It's less likely the tests there are sufficient
    for both this and the original case, but we'll see.
    
    Thanks,
    James
    
    1: https://www.postgresql.org/message-id/CAApHDvpHzfo92%3DR4W0%2BxVua3BUYCKMckWAmo-2t_KiXN-wYH%3Dw%40mail.gmail.com
    
    
    
    
  5. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-06T13:36:10Z

    Em ter., 6 de jul. de 2021 às 10:19, James Coleman <jtc331@gmail.com>
    escreveu:
    
    > Adding David since this patch is likely a precondition for [1].
    >
    > On Tue, Jul 6, 2021 at 2:15 AM Ronan Dunklau <ronan.dunklau@aiven.io>
    > wrote:
    > >
    > > Hello,
    > >
    > > While testing the patch "Add proper planner support for ORDER BY /
    > DISTINCT
    > > aggregates" [0] I discovered the performance penalty from adding a sort
    > node
    > > essentially came from not using the single-datum tuplesort optimization
    > in
    > > ExecSort (contrary to the sorting done in ExecAgg).
    > >
    > > I originally proposed this patch as a companion in the same thread [1],
    > but
    > > following James suggestion I'm making a separate thread just for this as
    > the
    > > optimization is worthwhile independently of David's patch: it looks like
    > we
    > > can expect a 2x speedup on a "select a single ordered column" case.
    > >
    > > The patch aimed to be as simple as possible: we only turn this
    > optimization on
    > > when the tuple being sorted has only one attribute, it is "byval" (so as
    > not
    > > to incur copies which would be hard to track in the execution tree) and
    > > unbound (again, not having to deal with copying borrowed datum anywhere).
    >
    > Thanks again for finding this and working up a patch.
    >
    > I've taken a look, and while I haven't dug into testing it yet, I have
    > a few comments.
    >
    > First, the changes are lacking any explanatory comments. Probably we
    > should follow how nodeAgg does this and add both comments to the
    > ExecSort function header as well as specific comments above the "if"
    > around the new tuplesort_begin_datum explaining the specific
    > conditions that are required for the optimization to be useful and
    > safe.
    >
    > That leads to a question I had: I don't follow why bounded mode (when
    > using byval) needs to be excluded. Comments should be added if there's
    > a good reason (as noted above), but maybe it's a case we can handle
    > safely?
    >
    > A second question: at first glance it's intuitively the case we might
    > not be able to handle byref values. But nodeAgg doesn't seem to have
    > that restriction. What's the difference here?
    >
    > A few small code observations:
    > - In my view the addition of unlikely() in ExecSort is unlikely to be
    > of benefit because it's a single call for the entire node's execution
    > (not in the tuple loop).
    >
    No objection. And I agree that testing is complex and needs to remain as it
    is.
    
    - It seems clearer to change the "if (!node->is_single_val)" to flip
    > the true/false cases so we don't need the negation.
    >
    I think yes, it can be better.
    
    regards,
    Ranier Vilela
    
  6. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Dilip Kumar <dilipbalaut@gmail.com> — 2021-07-06T13:39:38Z

    On Tue, Jul 6, 2021 at 6:49 PM James Coleman <jtc331@gmail.com> wrote:
    >
    > Adding David since this patch is likely a precondition for [1].
    >
    > On Tue, Jul 6, 2021 at 2:15 AM Ronan Dunklau <ronan.dunklau@aiven.io> wrote:
    > >
    > > Hello,
    > >
    > > While testing the patch "Add proper planner support for ORDER BY / DISTINCT
    > > aggregates" [0] I discovered the performance penalty from adding a sort node
    > > essentially came from not using the single-datum tuplesort optimization in
    > > ExecSort (contrary to the sorting done in ExecAgg).
    > >
    > > I originally proposed this patch as a companion in the same thread [1], but
    > > following James suggestion I'm making a separate thread just for this as the
    > > optimization is worthwhile independently of David's patch: it looks like we
    > > can expect a 2x speedup on a "select a single ordered column" case.
    > >
    > > The patch aimed to be as simple as possible: we only turn this optimization on
    > > when the tuple being sorted has only one attribute, it is "byval" (so as not
    > > to incur copies which would be hard to track in the execution tree) and
    > > unbound (again, not having to deal with copying borrowed datum anywhere).
    >
    > Thanks again for finding this and working up a patch.
    >
    > I've taken a look, and while I haven't dug into testing it yet, I have
    > a few comments.
    >
    > First, the changes are lacking any explanatory comments. Probably we
    > should follow how nodeAgg does this and add both comments to the
    > ExecSort function header as well as specific comments above the "if"
    > around the new tuplesort_begin_datum explaining the specific
    > conditions that are required for the optimization to be useful and
    > safe.
    >
    > That leads to a question I had: I don't follow why bounded mode (when
    > using byval) needs to be excluded. Comments should be added if there's
    > a good reason (as noted above), but maybe it's a case we can handle
    > safely?
    >
    > A second question: at first glance it's intuitively the case we might
    > not be able to handle byref values. But nodeAgg doesn't seem to have
    > that restriction. What's the difference here?
    >
    
    I think tuplesort_begin_datum, doesn't have any such limitation, it
    can handle any type of Datum so I think we don't need to consider the
    only attbyval, we can consider any type of attribute for this
    optimization.
    
    -- 
    Regards,
    Dilip Kumar
    EnterpriseDB: http://www.enterprisedb.com
    
    
    
    
  7. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ronan Dunklau <ronan.dunklau@aiven.io> — 2021-07-06T15:03:32Z

    Thank you for the review, I will address those shortly, but will answer some 
    questions in the meantime.
    
    > > First, the changes are lacking any explanatory comments. Probably we
    > > should follow how nodeAgg does this and add both comments to the
    > > ExecSort function header as well as specific comments above the "if"
    > > around the new tuplesort_begin_datum explaining the specific
    > > conditions that are required for the optimization to be useful and
    > > safe.
    
    Done, since I lifted the restrictions following your questions, there isn't 
    much left to comment. (see below)
    
    > > 
    > > That leads to a question I had: I don't follow why bounded mode (when
    > > using byval) needs to be excluded. Comments should be added if there's
    > > a good reason (as noted above), but maybe it's a case we can handle
    > > safely?
    
    I had test failures when trying to move the Datum around when performing a 
    bounded sort, but did not look into it at first.
    
    Now I've looked into it, and the switch to a heapsort when using bounded mode 
    just unconditionnaly tried to free a tuple that was never there to begin with. 
    So if the SortTuple does not contain an actual tuple, but only a single datum, 
    do not do that. 
    
    I've updated the patch to fix this and enable the optimization in the case of 
    bounded sort.
    
    > > 
    > > A second question: at first glance it's intuitively the case we might
    > > not be able to handle byref values. But nodeAgg doesn't seem to have
    > > that restriction. What's the difference here?
    > 
    > I think tuplesort_begin_datum, doesn't have any such limitation, it
    > can handle any type of Datum so I think we don't need to consider the
    > only attbyval, we can consider any type of attribute for this
    > optimization.
    
    I've restricted the optimization to byval types because of the following 
    comment in nodeAgg.c:
    
    	/*
    	 * Note: if input type is pass-by-ref, the datums returned by the 
    sort are
    	 * freshly palloc'd in the per-query context, so we must be careful 
    to
    	 * pfree them when they are no longer needed.
    	 */
    
    As I was not sure how to handle that, I prefered the safety of not enabling 
    it. Since you both told me it should be safe, I've lifted that restriction 
    too.
    
    
    > A few small code observations:
    > - In my view the addition of unlikely() in ExecSort is unlikely to be
    > of benefit because it's a single call for the entire node's execution
    > (not in the tuple loop).
    
    Done.
    
    > - It seems clearer to change the "if (!node->is_single_val)" to flip
    > the true/false cases so we don't need the negation.
    
    Agreed, done.
    
    > - I assume there are tests that likely already cover this case, but
    > it'd be worth verifying that.
    
    Yes many test cases cover that, but maybe it would be better to explictly 
    check for it on some cases: do you think we could add a debug message that can 
    be checked for ? 
    
    > Finally, I believe the same optimization likely ought to be added to
    > nodeIncrementalSort. It's less likely the tests there are sufficient
    > for both this and the original case, but we'll see.
    
    I will look into it, but isn't incrementalsort used to sort tuples on several 
    keys, when they are already sorted on the first ? In that case, I doubt we 
    would ever have a single-valued tuple here, except if there is a projection to 
    strip the tuple from extraneous attributes.
    
    -- 
    Ronan Dunklau
  8. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    James Coleman <jtc331@gmail.com> — 2021-07-06T15:37:53Z

    On Tue, Jul 6, 2021 at 11:03 AM Ronan Dunklau <ronan.dunklau@aiven.io> wrote:
    >
    > Thank you for the review, I will address those shortly, but will answer some
    > questions in the meantime.
    >
    > > > First, the changes are lacking any explanatory comments. Probably we
    > > > should follow how nodeAgg does this and add both comments to the
    > > > ExecSort function header as well as specific comments above the "if"
    > > > around the new tuplesort_begin_datum explaining the specific
    > > > conditions that are required for the optimization to be useful and
    > > > safe.
    >
    > Done, since I lifted the restrictions following your questions, there isn't
    > much left to comment. (see below)
    >
    > > >
    > > > That leads to a question I had: I don't follow why bounded mode (when
    > > > using byval) needs to be excluded. Comments should be added if there's
    > > > a good reason (as noted above), but maybe it's a case we can handle
    > > > safely?
    >
    > I had test failures when trying to move the Datum around when performing a
    > bounded sort, but did not look into it at first.
    >
    > Now I've looked into it, and the switch to a heapsort when using bounded mode
    > just unconditionnaly tried to free a tuple that was never there to begin with.
    > So if the SortTuple does not contain an actual tuple, but only a single datum,
    > do not do that.
    >
    > I've updated the patch to fix this and enable the optimization in the case of
    > bounded sort.
    
    Awesome.
    
    > > > A second question: at first glance it's intuitively the case we might
    > > > not be able to handle byref values. But nodeAgg doesn't seem to have
    > > > that restriction. What's the difference here?
    > >
    > > I think tuplesort_begin_datum, doesn't have any such limitation, it
    > > can handle any type of Datum so I think we don't need to consider the
    > > only attbyval, we can consider any type of attribute for this
    > > optimization.
    >
    > I've restricted the optimization to byval types because of the following
    > comment in nodeAgg.c:
    >
    >         /*
    >          * Note: if input type is pass-by-ref, the datums returned by the
    > sort are
    >          * freshly palloc'd in the per-query context, so we must be careful
    > to
    >          * pfree them when they are no longer needed.
    >          */
    >
    > As I was not sure how to handle that, I prefered the safety of not enabling
    > it. Since you both told me it should be safe, I've lifted that restriction
    > too.
    
    To be clear, I don't know for certain it's safe [without extra work],
    but even if it involves some extra manual pfree'ing (a la nodeAgg)
    it's probably worth it. Maybe someone else will weigh in on whether or
    not anything special is required here to ensure we don't leak memory
    (I haven't looked in detail yet).
    
    > > A few small code observations:
    > > - In my view the addition of unlikely() in ExecSort is unlikely to be
    > > of benefit because it's a single call for the entire node's execution
    > > (not in the tuple loop).
    >
    > Done.
    >
    > > - It seems clearer to change the "if (!node->is_single_val)" to flip
    > > the true/false cases so we don't need the negation.
    >
    > Agreed, done.
    
    Thanks
    
    > > - I assume there are tests that likely already cover this case, but
    > > it'd be worth verifying that.
    >
    > Yes many test cases cover that, but maybe it would be better to explictly
    > check for it on some cases: do you think we could add a debug message that can
    > be checked for ?
    
    Mostly I think we should verify code coverage and _maybe_ add a
    specific test or two that we know execises this path. I don't know
    that the debug message needs to be matched in the test (probably more
    pain than it's worth), but the debug message ("enabling datum sort
    optimizaton" or similar) might be good anyway.
    
    I wonder if we need to change costing of sorts for this case. I don't
    like having to do so, but it's a significant change in speed, so
    probably should impact what plan gets chosen. Hopefully others will
    weigh on this also.
    
    > > Finally, I believe the same optimization likely ought to be added to
    > > nodeIncrementalSort. It's less likely the tests there are sufficient
    > > for both this and the original case, but we'll see.
    >
    > I will look into it, but isn't incrementalsort used to sort tuples on several
    > keys, when they are already sorted on the first ? In that case, I doubt we
    > would ever have a single-valued tuple here, except if there is a projection to
    > strip the tuple from extraneous attributes.
    
    Yes and no. When incremental sort has to do a full sort there will
    always be at least 2 attributes. But in prefix sort mode (see
    prefixsort_state) only non-presorted columns are sorted (i.e., if
    given a,b already sorted by a, then only b is sorted). So the
    prefixsort_state could use this optimization.
    
    James
    
    
    
    
  9. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ronan Dunklau <ronan.dunklau@aiven.io> — 2021-07-07T09:32:03Z

    Le mardi 6 juillet 2021, 17:37:53 CEST James Coleman a écrit :
    > Yes and no. When incremental sort has to do a full sort there will
    > always be at least 2 attributes. But in prefix sort mode (see
    > prefixsort_state) only non-presorted columns are sorted (i.e., if
    > given a,b already sorted by a, then only b is sorted). So the
    > prefixsort_state could use this optimization.
    
    The optimization is not when we actually sort on a single key, but when we get 
    a single attribute in / out of the tuplesort.  Since sorting always add 
    resjunk entries for the keys being sorted on, I don't think we can ever end up 
    in a situation where the optimization would kick in, since the entries for the 
    already-performed-sort keys will need to be present in the output.
    
    Maybe if instead of adding resjunk entries to the whole query's targetlist, 
    sort and incrementalsort nodes were able to do a projection from the input 
    (needed tle + resjunk sorting tle) to a tuple containing only the needed tle 
    on output before actually sorting it, it would be possible, but that would be 
    quite a big design change.
    
    In the meantime I fixed some formatting issues, please find attached a new 
    patch.
    
    
    -- 
    Ronan Dunklau
  10. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-12T13:11:17Z

    On Wed, 7 Jul 2021 at 21:32, Ronan Dunklau <ronan.dunklau@aiven.io> wrote:
    > In the meantime I fixed some formatting issues, please find attached a new
    > patch.
    
    I started to look at this.
    
    First I wondered how often we might be able to apply this
    optimisation, so I ran make check after adding some elog(NOTICE) calls
    to output which method is going to be used just before we do the
    tuplestore_begin_* calls.  It looks like there are 614 instances of
    Datum sorts and 4223 of tuple sorts. That's about 14.5% datum sorts.
    223 of the 614 are byval types and the other 391 are byref. Not that
    the regression tests are a good reflection of the real world, but if
    it were then that's quite a good number of cases to be able to
    optimise.
    
    As for the patch, just a few things:
    
    1. Can you add the missing braces in this if condition and the else
    condition that belongs to it.
    
    + if (node->is_single_val)
    + for (;;)
    + {
    
    2. I think it would nicer to name the new is_single_val field
    "datumSort" instead. To me it seems more clear what it is for.
    
    3. This seems to be a bug fix where byval datum sorts do not properly
    handle bounded sorts.  I think that maybe that should be fixed and
    backpatched.  I don't see anything that says Datum sorts can't be
    bounded and if there were some restriction on that I'd expect
    tuplesort_set_bound() to fail when the Tuplesortstate had been set up
    with tuplesort_begin_datum().
    
     static void
     free_sort_tuple(Tuplesortstate *state, SortTuple *stup)
     {
    - FREEMEM(state, GetMemoryChunkSpace(stup->tuple));
    - pfree(stup->tuple);
    + /*
    + * If the SortTuple is actually only a single Datum, which was not copied
    + * as it is a byval type, do not try to free it nor account for it in
    + * memory used.
    + */
    + if (stup->tuple)
    + {
    + FREEMEM(state, GetMemoryChunkSpace(stup->tuple));
    + pfree(stup->tuple);
    + }
    
    I can take this to another thread.
    
    That's all I have for now.
    
    David
    
    
    
    
  11. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ronan Dunklau <ronan.dunklau@aiven.io> — 2021-07-12T13:59:42Z

    Le lundi 12 juillet 2021, 15:11:17 CEST David Rowley a écrit :
    > On Wed, 7 Jul 2021 at 21:32, Ronan Dunklau <ronan.dunklau@aiven.io> wrote:
    > > In the meantime I fixed some formatting issues, please find attached a new
    > > patch.
    > 
    > I started to look at this.
    
    Thank you ! I'm attaching a new version of the patch taking your remarks into 
    account.
    > 
    > First I wondered how often we might be able to apply this
    > optimisation, so I ran make check after adding some elog(NOTICE) calls
    > to output which method is going to be used just before we do the
    > tuplestore_begin_* calls.  It looks like there are 614 instances of
    > Datum sorts and 4223 of tuple sorts. That's about 14.5% datum sorts.
    > 223 of the 614 are byval types and the other 391 are byref. Not that
    > the regression tests are a good reflection of the real world, but if
    > it were then that's quite a good number of cases to be able to
    > optimise.
    
    That's an interesting stat.
    
    > 
    > As for the patch, just a few things:
    > 
    > 1. Can you add the missing braces in this if condition and the else
    > condition that belongs to it.
    > 
    > + if (node->is_single_val)
    > + for (;;)
    > + {
    > 
    
    Done.
    
    > 2. I think it would nicer to name the new is_single_val field
    > "datumSort" instead. To me it seems more clear what it is for.
    
    Done.
    
    > 
    > 3. This seems to be a bug fix where byval datum sorts do not properly
    > handle bounded sorts.  I think that maybe that should be fixed and
    > backpatched.  I don't see anything that says Datum sorts can't be
    > bounded and if there were some restriction on that I'd expect
    > tuplesort_set_bound() to fail when the Tuplesortstate had been set up
    > with tuplesort_begin_datum().
    
    I've kept this as-is for now, but I will remove it from my patch if it is 
    deemed worthy of back-patching in your other thread. 
    
    Regards,
    
    -- 
    Ronan Dunklau
  12. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-13T03:15:24Z

    On Tue, 13 Jul 2021 at 01:59, Ronan Dunklau <ronan.dunklau@aiven.io> wrote:
    > > 3. This seems to be a bug fix where byval datum sorts do not properly
    > > handle bounded sorts.  I think that maybe that should be fixed and
    > > backpatched.  I don't see anything that says Datum sorts can't be
    > > bounded and if there were some restriction on that I'd expect
    > > tuplesort_set_bound() to fail when the Tuplesortstate had been set up
    > > with tuplesort_begin_datum().
    >
    > I've kept this as-is for now, but I will remove it from my patch if it is
    > deemed worthy of back-patching in your other thread.
    
    I've now pushed that bug fix so it's fine to remove the change to
    tuplesort.c now.
    
    I also did a round of benchmarking on this patch using the attached
    script. Anyone wanting to run it will need to run make installcheck
    first to create the required tables.
    
    On an AMD machine, I got the following results.
    
    Result in transactions per second.
    Test master v5 patch compare
    Test1 446.1 657.3 147.32%
    Test2 315.8 314.0 99.44%
    Test3 302.3 392.1 129.67%
    Test4 232.7 230.7 99.12%
    Test5 230.0 446.1 194.00%
    Test6 199.5 217.9 109.23%
    Test7 188.7 185.3 98.21%
    Test8 385.4 544.0 141.17%
    
    Tests 2, 4, 7 are designed to check if there is any regression from
    doing the additional run-time checks to see if we're doing datumSort.
    I measured a very small penalty from this. It's most visible in test7
    with a drop of about 1.8%. Each test did OFFSET 1000000 as I didn't
    want to measure the overhead of outputting tuples.
    
    All the other tests show a pretty good gain. Test6 is testing a byref
    type, so it appears the gains are not just from byval datums.
    
    It would be good to see the benchmark script run on a few other
    machines to get an idea if the gains and losses are consistent.
    
    In theory, we likely could get rid of the small regression by having
    two versions of ExecSort() and setting the correct one during
    ExecInitSort() by setting the function pointer to the version we want
    to use in sortstate->ss.ps.ExecProcNode. But maybe the small
    regression is not worth going to that trouble over. I'm not aware of
    any other executor nodes that have logic like that so maybe it would
    be a bad idea to introduce something like that.
    
    David
    
  13. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ronan Dunklau <ronan.dunklau@aiven.io> — 2021-07-13T07:19:37Z

    > I've now pushed that bug fix so it's fine to remove the change to
    > tuplesort.c now.
    
    Thanks, I've rebased the patch, please find attached the v6.
    
    > 
    > I also did a round of benchmarking on this patch using the attached
    > script. Anyone wanting to run it will need to run make installcheck
    > first to create the required tables.
    
    I've run your benchmark, keeping the best of three runs each time.
    This is an intel laptop, so as many things are running on it there is a lot of 
    noise... 
    
    Both standard and patched run come from a compilation with gcc -O2. No changes 
    have been done to the default settings.
    
    Query #	Master	Patched	Variation
    1	884	1627	184.05%
    2	364	375	103.02%
    3	568	783	137.85%
    4	296	297	100.34%
    5	421	484	114.96%
    6	359	408	113.65%
    7	237	251	105.91%
    8	806	1271	157.69%
    
    Since I didn't reproduce your slowdown at all on the first run, I tried to 
    rerun the benchmark several times and for the "dubious cases" (2, 4 and 7), 
    the results are too jittery to conclude one way or another in my case.  I 
    don't have access to proper hardware, so not sure if that would be useful in 
    any way to just run the bench for thousands of xacts instead. I would be 
    surprised the check adds that much to the whole execution though.
    
    I attach a graph similar to yours for reference.
    
    
    -- 
    Ronan Dunklau
  14. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-13T12:05:56Z

    Em ter., 13 de jul. de 2021 às 04:19, Ronan Dunklau <ronan.dunklau@aiven.io>
    escreveu:
    
    > > I've now pushed that bug fix so it's fine to remove the change to
    >
    >
    
    > I would be
    > surprised the check adds that much to the whole execution though.
    >
    I think this branch is a misprediction.
    In most cases is it not datumSort?
    That's why I would like to use unlikely.
    
    IMO all the tests should all be to verify past behavior first.
    
    regards,
    Ranier Vilela
    
  15. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-13T12:24:03Z

    On Wed, 14 Jul 2021 at 00:06, Ranier Vilela <ranier.vf@gmail.com> wrote:
    >
    > Em ter., 13 de jul. de 2021 às 04:19, Ronan Dunklau <ronan.dunklau@aiven.io> escreveu:
    >> I would be
    >> surprised the check adds that much to the whole execution though.
    >
    > I think this branch is a misprediction.
    
    It could be.  I wondered that myself when I saw Ronan's results were
    better than mine for 2,4 and 7.  However, I think Ronan had quite a
    bit of noise in his results as there's no reason for the speedup in
    tests 2,4 and 7.
    
    > In most cases is it not datumSort?
    
    who knows.  Maybe someone's workload always requires the datum sort.
    
    > That's why I would like to use unlikely.
    
    We really only use unlikely() in cases where we want to move code out
    of line to a cold area because it's really never executed under normal
    circumstances. We tend to do that for ERROR cases as we don't ever
    really want to optimise for errors. We also sometimes do it when some
    function has a branch to initialise something during the first call.
    The case in question here does not fit for either of those two cases.
    
    > IMO all the tests should all be to verify past behavior first.
    
    I'm not quire sure what you mean there.
    
    David
    
    
    
    
  16. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-13T12:44:03Z

    Em ter., 13 de jul. de 2021 às 09:24, David Rowley <dgrowleyml@gmail.com>
    escreveu:
    
    > On Wed, 14 Jul 2021 at 00:06, Ranier Vilela <ranier.vf@gmail.com> wrote:
    > >
    > > Em ter., 13 de jul. de 2021 às 04:19, Ronan Dunklau <
    > ronan.dunklau@aiven.io> escreveu:
    > >> I would be
    > >> surprised the check adds that much to the whole execution though.
    > >
    > > I think this branch is a misprediction.
    >
    > It could be.  I wondered that myself when I saw Ronan's results were
    > better than mine for 2,4 and 7.  However, I think Ronan had quite a
    > bit of noise in his results as there's no reason for the speedup in
    > tests 2,4 and 7.
    
    
    > > In most cases is it not datumSort?
    >
    > who knows.  Maybe someone's workload always requires the datum sort.
    >
    > > That's why I would like to use unlikely.
    >
    > We really only use unlikely() in cases where we want to move code out
    > of line to a cold area because it's really never executed under normal
    > circumstances. We tend to do that for ERROR cases as we don't ever
    > really want to optimise for errors. We also sometimes do it when some
    > function has a branch to initialise something during the first call.
    > The case in question here does not fit for either of those two cases.
    >
    Hum, I understand the usage cases now.
    Thanks for the hint.
    
    
    >
    > > IMO all the tests should all be to verify past behavior first.
    >
    > I'm not quire sure what you mean there.
    >
    I'm saying we could help the branch by keeping the same testing logic as
    before and not reversing it.
    Attached is a version to demonstrate this, I don't pretend to be v7.
    
    I couldn't find a good phrase to the contrary:
    "are we *not* using the single value optimization ?"
    
    I don't have time to take the tests right now.
    
    regards,
    Ranier Vilela
    
  17. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-13T17:42:13Z

    Em ter., 13 de jul. de 2021 às 09:44, Ranier Vilela <ranier.vf@gmail.com>
    escreveu:
    
    > Em ter., 13 de jul. de 2021 às 09:24, David Rowley <dgrowleyml@gmail.com>
    > escreveu:
    >
    >> On Wed, 14 Jul 2021 at 00:06, Ranier Vilela <ranier.vf@gmail.com> wrote:
    >> >
    >> > Em ter., 13 de jul. de 2021 às 04:19, Ronan Dunklau <
    >> ronan.dunklau@aiven.io> escreveu:
    >> >> I would be
    >> >> surprised the check adds that much to the whole execution though.
    >> >
    >> > I think this branch is a misprediction.
    >>
    >> It could be.  I wondered that myself when I saw Ronan's results were
    >> better than mine for 2,4 and 7.  However, I think Ronan had quite a
    >> bit of noise in his results as there's no reason for the speedup in
    >> tests 2,4 and 7.
    >
    >
    >> > In most cases is it not datumSort?
    >>
    >> who knows.  Maybe someone's workload always requires the datum sort.
    >>
    >> > That's why I would like to use unlikely.
    >>
    >> We really only use unlikely() in cases where we want to move code out
    >> of line to a cold area because it's really never executed under normal
    >> circumstances. We tend to do that for ERROR cases as we don't ever
    >> really want to optimise for errors. We also sometimes do it when some
    >> function has a branch to initialise something during the first call.
    >> The case in question here does not fit for either of those two cases.
    >>
    > Hum, I understand the usage cases now.
    > Thanks for the hint.
    >
    >
    >>
    >> > IMO all the tests should all be to verify past behavior first.
    >>
    >> I'm not quire sure what you mean there.
    >>
    > I'm saying we could help the branch by keeping the same testing logic as
    > before and not reversing it.
    > Attached is a version to demonstrate this, I don't pretend to be v7.
    >
    > I couldn't find a good phrase to the contrary:
    > "are we *not* using the single value optimization ?"
    >
    > I don't have time to take the tests right now.
    >
    Finally I had time to benchmark (David's benchsort.sh)
    
    ubuntu 64 bits (20.04) 8gb ram SSD 256GB.
    Table with the best results of each.
    
    
             HEAD            v6            v7             v7b         v6 vs
    master               v7 vs v6            v7b vs v6
    Test1 288,149636 449,018541 469,757169 550,48505 155,83% 104,62% 122,60%
    Test2 94,766955 95,451406 94,556249 94,718982 100,72% 99,06% 99,23%
    Test3 190,521319 260,279802 259,597067 278,115296 136,61% 99,74% 106,85%
    Test4 78,779344 78,253455 78,114068 77,941482 99,33% 99,82% 99,60%
    Test5 131,362614 142,662223 136,436347 149,639041 108,60% 95,64% 104,89%
    Test6 112,884298 124,181671 115,528328 127,58497 110,01% 93,03% 102,74%
    Test7 69,308587 68,643067 66,10195 69,087544 99,04% 96,30% 100,65%
    Test8 243,674171 364,681142 371,928453 419,259703 149,66% 101,99% 114,97%
    
    I have no idea why v7 failed with test6?
    v6 slowdown with test4 and test7.
    v7b slowdown with test2 and test4, in relation with v7.
    
    If field struct datumSort is not absolutely necessary, I think that v7 will
    be better.
    Attached the patchs and file results.
    
  18. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-13T17:46:17Z

    Em ter., 13 de jul. de 2021 às 14:42, Ranier Vilela <ranier.vf@gmail.com>
    escreveu:
    
    > Em ter., 13 de jul. de 2021 às 09:44, Ranier Vilela <ranier.vf@gmail.com>
    > escreveu:
    >
    >> Em ter., 13 de jul. de 2021 às 09:24, David Rowley <dgrowleyml@gmail.com>
    >> escreveu:
    >>
    >>> On Wed, 14 Jul 2021 at 00:06, Ranier Vilela <ranier.vf@gmail.com> wrote:
    >>> >
    >>> > Em ter., 13 de jul. de 2021 às 04:19, Ronan Dunklau <
    >>> ronan.dunklau@aiven.io> escreveu:
    >>> >> I would be
    >>> >> surprised the check adds that much to the whole execution though.
    >>> >
    >>> > I think this branch is a misprediction.
    >>>
    >>> It could be.  I wondered that myself when I saw Ronan's results were
    >>> better than mine for 2,4 and 7.  However, I think Ronan had quite a
    >>> bit of noise in his results as there's no reason for the speedup in
    >>> tests 2,4 and 7.
    >>
    >>
    >>> > In most cases is it not datumSort?
    >>>
    >>> who knows.  Maybe someone's workload always requires the datum sort.
    >>>
    >>> > That's why I would like to use unlikely.
    >>>
    >>> We really only use unlikely() in cases where we want to move code out
    >>> of line to a cold area because it's really never executed under normal
    >>> circumstances. We tend to do that for ERROR cases as we don't ever
    >>> really want to optimise for errors. We also sometimes do it when some
    >>> function has a branch to initialise something during the first call.
    >>> The case in question here does not fit for either of those two cases.
    >>>
    >> Hum, I understand the usage cases now.
    >> Thanks for the hint.
    >>
    >>
    >>>
    >>> > IMO all the tests should all be to verify past behavior first.
    >>>
    >>> I'm not quire sure what you mean there.
    >>>
    >> I'm saying we could help the branch by keeping the same testing logic as
    >> before and not reversing it.
    >> Attached is a version to demonstrate this, I don't pretend to be v7.
    >>
    >> I couldn't find a good phrase to the contrary:
    >> "are we *not* using the single value optimization ?"
    >>
    >> I don't have time to take the tests right now.
    >>
    > Finally I had time to benchmark (David's benchsort.sh)
    >
    > ubuntu 64 bits (20.04) 8gb ram SSD 256GB.
    > Table with the best results of each.
    >
    >
    >          HEAD            v6            v7             v7b         v6 vs
    > master               v7 vs v6            v7b vs v6
    > Test1 288,149636 449,018541 469,757169 550,48505 155,83% 104,62% 122,60%
    > Test2 94,766955 95,451406 94,556249 94,718982 100,72% 99,06% 99,23%
    > Test3 190,521319 260,279802 259,597067 278,115296 136,61% 99,74% 106,85%
    > Test4 78,779344 78,253455 78,114068 77,941482 99,33% 99,82% 99,60%
    > Test5 131,362614 142,662223 136,436347 149,639041 108,60% 95,64% 104,89%
    > Test6 112,884298 124,181671 115,528328 127,58497 110,01% 93,03% 102,74%
    > Test7 69,308587 68,643067 66,10195 69,087544 99,04% 96,30% 100,65%
    > Test8 243,674171 364,681142 371,928453 419,259703 149,66% 101,99% 114,97%
    >
    > I have no idea why v7 failed with test6?
    > v6 slowdown with test4 and test7.
    > v7b slowdown with test2 and test4, in relation with v7.
    >
     v7b slowdown with test2 and test4, in relation with *v6*.
    
    
    > If field struct datumSort is not absolutely necessary, I think that v7
    > will be better.
    >
     *v7b* will be better.
    
    Sorry for the noise.
    
    regards,
    Ranier Vilela
    
  19. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-14T10:13:45Z

    On Tue, 13 Jul 2021 at 15:15, David Rowley <dgrowleyml@gmail.com> wrote:
    > In theory, we likely could get rid of the small regression by having
    > two versions of ExecSort() and setting the correct one during
    > ExecInitSort() by setting the function pointer to the version we want
    > to use in sortstate->ss.ps.ExecProcNode.
    
    Just to see how it would perform, I tried what I mentioned above. I've
    included what I ended up with in the attached POC patch.
    
    I got the following results on my AMD hardware.
    
    Test master v8 patch comparison
    Test1   448.0   671.7   149.9%
    Test2   316.4   317.5   100.3%
    Test3   299.5   381.6   127.4%
    Test4   219.7   229.5   104.5%
    Test5   226.3   254.6   112.5%
    Test6   197.9   217.9   110.1%
    Test7   179.2   185.3   103.4%
    Test8   389.2   544.8   140.0%
    
    This time I saw no regression on tests 2, 4 and 7.
    
    I looked to see if there was anywhere else in the executor that
    conditionally uses a different exec function in this way and found
    nothing, so I'm not too sure if it's a good idea to start doing this.
    
    It would be good to get a 2nd opinion about this idea.  Also, more
    benchmark results with v6 and v8 would be good too.
    
    David
    
  20. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-14T17:55:13Z

    Em qua., 14 de jul. de 2021 às 07:14, David Rowley <dgrowleyml@gmail.com>
    escreveu:
    
    > On Tue, 13 Jul 2021 at 15:15, David Rowley <dgrowleyml@gmail.com> wrote:
    > > In theory, we likely could get rid of the small regression by having
    > > two versions of ExecSort() and setting the correct one during
    > > ExecInitSort() by setting the function pointer to the version we want
    > > to use in sortstate->ss.ps.ExecProcNode.
    >
    > Just to see how it would perform, I tried what I mentioned above. I've
    > included what I ended up with in the attached POC patch.
    >
    > I got the following results on my AMD hardware.
    >
    > Test master v8 patch comparison
    > Test1   448.0   671.7   149.9%
    > Test2   316.4   317.5   100.3%
    > Test3   299.5   381.6   127.4%
    > Test4   219.7   229.5   104.5%
    > Test5   226.3   254.6   112.5%
    > Test6   197.9   217.9   110.1%
    > Test7   179.2   185.3   103.4%
    > Test8   389.2   544.8   140.0%
    >
    I'm a little surprised by your results.
    Test1 and Test8 look pretty good to me.
    What is compiler and environment?
    
    I repeated (3 times) the benchmark with v8 here,
    and the results were not good.
    
    
                      HEAD            v6              v7b            v8
    v6 vs head              v8 vs v6             v8 vs v7b
    Test1 288,149636 449,018541 550,48505 468,168165 155,83% 104,26% 85,05%
    Test2 94,766955 95,451406 94,718982 94,800275 100,72% 99,32% 100,09%
    Test3 190,521319 260,279802 278,115296 262,538383 136,61% 100,87% 94,40%
    Test4 78,779344 78,253455 77,941482 78,471546 99,33% 100,28% 100,68%
    Test5 131,362614 142,662223 149,639041 144,849303 108,60% 101,53% 96,80%
    Test6 112,884298 124,181671 127,58497 124,29376 110,01% 100,09% 97,42%
    Test7 69,308587 68,643067 69,087544 69,437312 99,04% 101,16% 100,51%
    Test8 243,674171 364,681142 419,259703 369,239176 149,66% 101,25% 88,07%
    
    
    
    > This time I saw no regression on tests 2, 4 and 7.
    >
    > I looked to see if there was anywhere else in the executor that
    > conditionally uses a different exec function in this way and found
    > nothing, so I'm not too sure if it's a good idea to start doing this.
    >
    Specialized functions can be a way to optimize. The compilers themselves do
    it.
    But the ExecSortTuple and ExecSortDatum are much more similar,
    which can cause maintenance problems.
    I don't think in this case it would be a good idea.
    
    
    >
    > It would be good to get a 2nd opinion about this idea.  Also, more
    > benchmark results with v6 and v8 would be good too.
    >
    Yeah, another different machine.
    I would like to see other results with v7b.
    
    Attached the file with all results from v8.
    
    regards,
    Ranier Vilela
    
  21. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    John Naylor <john.naylor@enterprisedb.com> — 2021-07-14T23:30:26Z

    On Wed, Jul 14, 2021 at 6:14 AM David Rowley <dgrowleyml@gmail.com> wrote:
    
    > It would be good to get a 2nd opinion about this idea.  Also, more
    > benchmark results with v6 and v8 would be good too.
    
    I tested this on an older Xeon, gcc 8.4 (here median of each test, full
    results attached):
    
    test HEAD v6 v8
    
    Test1 588 1007 998
    Test2 198 202 197
    Test3 374 516 512
    Test4 172 165 166
    Test5 255 279 283
    Test6 227 251 251
    Test7 145 147 146
    Test8 474 783 770
    
    Test4 could be a regression, but 2 and 7 look fine here.
    
    --
    John Naylor
    EDB: http://www.enterprisedb.com
    
  22. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-14T23:43:20Z

    On Thu, 15 Jul 2021 at 05:55, Ranier Vilela <ranier.vf@gmail.com> wrote:
    > I repeated (3 times) the benchmark with v8 here,
    > and the results were not good.
    
    Do you have any good theories on why the additional branching that's
    done in v7b vs v8 might cause it to run faster?
    
    David
    
    
    
    
  23. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-15T00:10:18Z

    Em qua., 14 de jul. de 2021 às 20:43, David Rowley <dgrowleyml@gmail.com>
    escreveu:
    
    > On Thu, 15 Jul 2021 at 05:55, Ranier Vilela <ranier.vf@gmail.com> wrote:
    > > I repeated (3 times) the benchmark with v8 here,
    > > and the results were not good.
    >
    > Do you have any good theories on why the additional branching that's
    > done in v7b vs v8 might cause it to run faster?
    
    
    Branch Predictions works with *more* probable path,
    otherwise a penalty occurs and the cpu must revert the results.
    
    In this case it seems to me that most of the time, tuplesort is the path.
    So as it is tested if it is *datumSort* and the *prediction* fails,
    the cpu has more work to reverse the wrong path.
    
    To help the branch, test a more probable case first, anywhere.
    if, switch, etc.
    
    Another gain is the local variable tupleSort, which is obviously faster
    than node.
    
    regards,
    Ranier Vilela
    
  24. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-15T00:20:58Z

    On Thu, 15 Jul 2021 at 12:10, Ranier Vilela <ranier.vf@gmail.com> wrote:
    >
    > Em qua., 14 de jul. de 2021 às 20:43, David Rowley <dgrowleyml@gmail.com> escreveu:
    >>
    >> On Thu, 15 Jul 2021 at 05:55, Ranier Vilela <ranier.vf@gmail.com> wrote:
    >> > I repeated (3 times) the benchmark with v8 here,
    >> > and the results were not good.
    >>
    >> Do you have any good theories on why the additional branching that's
    >> done in v7b vs v8 might cause it to run faster?
    >
    >
    > Branch Predictions works with *more* probable path,
    > otherwise a penalty occurs and the cpu must revert the results.
    
    But, in v8 there is no additional branch, so no branch to mispredict.
    I don't really see how your explanation fits.
    
    It seems much more likely to me that the results were just noisy.  It
    would be good to see if you can recreate them consistently.
    
    David
    
    
    
    
  25. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-15T00:30:38Z

    Em qua., 14 de jul. de 2021 às 21:21, David Rowley <dgrowleyml@gmail.com>
    escreveu:
    
    > On Thu, 15 Jul 2021 at 12:10, Ranier Vilela <ranier.vf@gmail.com> wrote:
    > >
    > > Em qua., 14 de jul. de 2021 às 20:43, David Rowley <dgrowleyml@gmail.com>
    > escreveu:
    > >>
    > >> On Thu, 15 Jul 2021 at 05:55, Ranier Vilela <ranier.vf@gmail.com>
    > wrote:
    > >> > I repeated (3 times) the benchmark with v8 here,
    > >> > and the results were not good.
    > >>
    > >> Do you have any good theories on why the additional branching that's
    > >> done in v7b vs v8 might cause it to run faster?
    > >
    > >
    > > Branch Predictions works with *more* probable path,
    > > otherwise a penalty occurs and the cpu must revert the results.
    >
    > But, in v8 there is no additional branch, so no branch to mispredict.
    > I don't really see how your explanation fits.
    >
    In v8 the branch occurs at :
    + if (ExecGetResultType(outerPlanState(sortstate))->natts == 1)
    
    datumSort is tested first.
    
    Cpu time is a more expensive resource.
    Always is executed two branches, if it is right path, win,
    otherwise occurs a penalty time.
    
    
    > It seems much more likely to me that the results were just noisy.  It
    > would be good to see if you can recreate them consistently.
    >
    I do.
    Can you please share results with v7b?
    
    regards,
    Ranier Vilela
    
  26. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-15T01:21:51Z

    On Thu, 15 Jul 2021 at 12:30, Ranier Vilela <ranier.vf@gmail.com> wrote:
    >
    > Em qua., 14 de jul. de 2021 às 21:21, David Rowley <dgrowleyml@gmail.com> escreveu:
    >> But, in v8 there is no additional branch, so no branch to mispredict.
    >> I don't really see how your explanation fits.
    >
    > In v8 the branch occurs at :
    > + if (ExecGetResultType(outerPlanState(sortstate))->natts == 1)
    
    You do know that branch is in a function that's only executed once
    during executor initialization, right?
    
    David
    
    
    
    
  27. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-15T02:55:04Z

    Em qua., 14 de jul. de 2021 às 22:22, David Rowley <dgrowleyml@gmail.com>
    escreveu:
    
    > On Thu, 15 Jul 2021 at 12:30, Ranier Vilela <ranier.vf@gmail.com> wrote:
    > >
    > > Em qua., 14 de jul. de 2021 às 21:21, David Rowley <dgrowleyml@gmail.com>
    > escreveu:
    > >> But, in v8 there is no additional branch, so no branch to mispredict.
    > >> I don't really see how your explanation fits.
    > >
    > > In v8 the branch occurs at :
    > > + if (ExecGetResultType(outerPlanState(sortstate))->natts == 1)
    >
    > You do know that branch is in a function that's only executed once
    > during executor initialization, right?
    >
    The branch prediction should work better.
    I have no idea why it works worse.
    
    I redid all tests:
    notebook 8GB RAM 256GB SSD
    ubuntu 64 bits (20.04)
    clang-12
    powerhigh (charger on)
    none configuration (all defaults)
    
    
              HEAD           v6          v7b              v8          v6
    vs head
    v7b vs v6           v8 vs v7b
    Test1 576,868013 940,947236 1090,253859 1016,0443 163,11% 115,87% 93,19%
    Test2 184,748363 177,6254 177,346229 178,230258 96,14% 99,84% 100,50%
    Test3 410,030055 541,889704 605,843924 534,946166 132,16% 111,80% 88,30%
    Test4 153,331752 147,98418 148,010894 147,771155 96,51% 100,02% 99,84%
    Test5 268,97555 301,979647 316,928492 300,94932 112,27% 104,95% 94,96%
    Test6 234,910125 259,71483 269,851427 260,567637 110,56% 103,90% 96,56%
    Test7 142,704153 136,09163 136,802695 136,935709 95,37% 100,52% 100,10%
    Test8 498,634855 763,482151 867,350046 804,833884 153,11% 113,60% 92,79%
    
    The values are high here, because now, the tests are made with full power
    of cpu to all patchs!
    I think that more testing is needed with v7b and v8.
    
    Anyway, two functions (ExecSortTuple and ExecSortDatum) are almost equal,
    maybe not a good idea.
    
    file results attached.
    
    regards,
    Ranier Vilela
    
  28. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ronan Dunklau <ronan.dunklau@aiven.io> — 2021-07-15T10:18:22Z

    Le jeudi 15 juillet 2021, 01:30:26 CEST John Naylor a écrit :
    > On Wed, Jul 14, 2021 at 6:14 AM David Rowley <dgrowleyml@gmail.com> wrote:
    > > It would be good to get a 2nd opinion about this idea.  Also, more
    > > benchmark results with v6 and v8 would be good too.
    > 
    
    Hello,
    
    Thank you for trying this approach in v8 David !
    
    I've decided to test on more "stable" hardware, an EC-2 medium instance, 
    compiling with Debian's gcc 8.3. That's still not ideal but a lot better than 
    a laptop. 
    
    To gather more meaningful results, I ran every pgbench for 30s instead of the 
    10 in the initial script provided by David. I ran the full script once for 
    HEAD, v6, v8, then a second time for HEAD, v6, v8 to try to eliminate noise 
    that could happen for 90 consecutive seconds, and took for each of those the 
    median of the 6 runs.  It's much less noisy than my previous runs but still 
    not as as stable as I'd like to.
    
    The results are attached in graph form, as well as the raw data if someone 
    wants it.
    
    As a conclusion, I don't think it's worth it to introduce a separate 
    execprocnode function for that case. It is likely the minor difference still 
    observed can be explained to noise, as they fluctuate if you compare the min, 
    max, average or median values from the results.
    
    Best regards,
    
    -- 
    Ronan Dunklau
  29. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-15T12:09:26Z

    Em qui., 15 de jul. de 2021 às 07:18, Ronan Dunklau <ronan.dunklau@aiven.io>
    escreveu:
    
    > Le jeudi 15 juillet 2021, 01:30:26 CEST John Naylor a écrit :
    > > On Wed, Jul 14, 2021 at 6:14 AM David Rowley <dgrowleyml@gmail.com>
    > wrote:
    > > > It would be good to get a 2nd opinion about this idea.  Also, more
    > > > benchmark results with v6 and v8 would be good too.
    > >
    >
    > Hello,
    >
    > Thank you for trying this approach in v8 David !
    >
    > I've decided to test on more "stable" hardware, an EC-2 medium instance,
    > compiling with Debian's gcc 8.3. That's still not ideal but a lot better
    > than
    > a laptop.
    >
    > To gather more meaningful results, I ran every pgbench for 30s instead of
    > the
    > 10 in the initial script provided by David. I ran the full script once for
    > HEAD, v6, v8, then a second time for HEAD, v6, v8 to try to eliminate
    > noise
    > that could happen for 90 consecutive seconds, and took for each of those
    > the
    > median of the 6 runs.  It's much less noisy than my previous runs but
    > still
    > not as as stable as I'd like to.
    >
    > The results are attached in graph form, as well as the raw data if someone
    > wants it.
    >
    > As a conclusion, I don't think it's worth it to introduce a separate
    > execprocnode function for that case. It is likely the minor difference
    > still
    > observed can be explained to noise, as they fluctuate if you compare the
    > min,
    > max, average or median values from the results.
    >
    Is there a special reason to not share v7b tests and results?
    
    IMHO he is much more branch friendly.
    
    regards,
    Ranier Vilela
    
  30. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ronan Dunklau <ronan.dunklau@aiven.io> — 2021-07-15T12:27:38Z

    Le jeudi 15 juillet 2021, 14:09:26 CEST Ranier Vilela a écrit :
    > Is there a special reason to not share v7b tests and results?
    > 
    
    The v7b patch is wrong, as it loses the type of tuplesort being used and as 
    such always tries to fetch results using tuplesort_gettupleslot after the first 
    tuple is fetched. 
    
    
    -- 
    Ronan Dunklau
    
    
    
    
    
    
  31. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-15T12:38:26Z

    Em qui., 15 de jul. de 2021 às 09:27, Ronan Dunklau <ronan.dunklau@aiven.io>
    escreveu:
    
    > Le jeudi 15 juillet 2021, 14:09:26 CEST Ranier Vilela a écrit :
    > > Is there a special reason to not share v7b tests and results?
    > >
    >
    > The v7b patch is wrong, as it loses the type of tuplesort being used
    
    I don't see 'node->datumSort' being anywhere else yet.
    
    
    > and as
    > such always tries to fetch results using tuplesort_gettupleslot after the
    > first
    > tuple is fetched.
    
    Is that why it is faster than v6?
    
    regards,
    Ranier Vilela
    
  32. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    James Coleman <jtc331@gmail.com> — 2021-07-15T13:44:14Z

    On Wed, Jul 14, 2021 at 9:22 PM David Rowley <dgrowleyml@gmail.com> wrote:
    >
    > On Thu, 15 Jul 2021 at 12:30, Ranier Vilela <ranier.vf@gmail.com> wrote:
    > >
    > > Em qua., 14 de jul. de 2021 às 21:21, David Rowley <dgrowleyml@gmail.com> escreveu:
    > >> But, in v8 there is no additional branch, so no branch to mispredict.
    > >> I don't really see how your explanation fits.
    > >
    > > In v8 the branch occurs at :
    > > + if (ExecGetResultType(outerPlanState(sortstate))->natts == 1)
    >
    > You do know that branch is in a function that's only executed once
    > during executor initialization, right?
    
    This is why I have a hard time believing there's a "real" change here
    and not the result of either noise or something not really
    controllable like executable layout changing.
    
    James
    
    
    
    
  33. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-15T14:19:23Z

    On Fri, 16 Jul 2021 at 01:44, James Coleman <jtc331@gmail.com> wrote:
    >
    > On Wed, Jul 14, 2021 at 9:22 PM David Rowley <dgrowleyml@gmail.com> wrote:
    > >
    > > On Thu, 15 Jul 2021 at 12:30, Ranier Vilela <ranier.vf@gmail.com> wrote:
    > > >
    > > > Em qua., 14 de jul. de 2021 às 21:21, David Rowley <dgrowleyml@gmail.com> escreveu:
    > > >> But, in v8 there is no additional branch, so no branch to mispredict.
    > > >> I don't really see how your explanation fits.
    > > >
    > > > In v8 the branch occurs at :
    > > > + if (ExecGetResultType(outerPlanState(sortstate))->natts == 1)
    > >
    > > You do know that branch is in a function that's only executed once
    > > during executor initialization, right?
    >
    > This is why I have a hard time believing there's a "real" change here
    > and not the result of either noise or something not really
    > controllable like executable layout changing.
    
    Yeah, I think we likely are at the level where layout changes in the
    compiled code are going to make things hard to measure.  I just want
    to make sure we're not going to end up with some regression that's
    actual and not random depending on layout changes of unrelated code.
    I think a branch that's taken consistently *should* be predicted
    correctly each time.
    
    Anyway, I think all the comparisons with v7b can safely be ignored. As
    Ronan pointed out, v7b has some issues due to it not recording the
    sort method in the executor state that leads to it forgetting which
    method it used once we start pulling tuples from it. The reproductions
    of that are it calling tuplesort_gettupleslot() from the 2nd tuple
    onwards regardless of if we've done a datum or tuple sort.
    
    Ronan's latest results plus John's make me think there's no need to
    separate out the node function as I did in v8.  However, I do think v6
    could learn a little from v8. I think I'd rather see the sort method
    determined in ExecInitSort() rather than ExecSort(). I think
    minimising those few extra instructions in ExecSort() might help the
    L1 instruction cache.
    
    David
    
    
    
    
  34. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-15T14:19:51Z

    Em qua., 14 de jul. de 2021 às 22:22, David Rowley <dgrowleyml@gmail.com>
    escreveu:
    
    > On Thu, 15 Jul 2021 at 12:30, Ranier Vilela <ranier.vf@gmail.com> wrote:
    > >
    > > Em qua., 14 de jul. de 2021 às 21:21, David Rowley <dgrowleyml@gmail.com>
    > escreveu:
    > >> But, in v8 there is no additional branch, so no branch to mispredict.
    > >> I don't really see how your explanation fits.
    > >
    > > In v8 the branch occurs at :
    > > + if (ExecGetResultType(outerPlanState(sortstate))->natts == 1)
    >
    > You do know that branch is in a function that's only executed once
    > during executor initialization, right?
    >
    There's a real difference between v8 and v6, if I understood correctly.
    
    v6 the branches is per tuple:
    + if (tupDesc->natts == 1)
    
    v8 the branches is per state:
    + if (ExecGetResultType(outerPlanState(sortstate))->natts == 1)
    
    I think that a big different way to solve the problem.
    Or am I getting it wrong?
    
    If the sortstate number of attributes is equal to 1, is it worth the same
    for each tuple?
    Can you explain this, please?
    
    regards,
    Ranier Vilela
    
  35. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-15T14:45:39Z

    Em qui., 15 de jul. de 2021 às 11:19, David Rowley <dgrowleyml@gmail.com>
    escreveu:
    
    > On Fri, 16 Jul 2021 at 01:44, James Coleman <jtc331@gmail.com> wrote:
    > >
    > > On Wed, Jul 14, 2021 at 9:22 PM David Rowley <dgrowleyml@gmail.com>
    > wrote:
    > > >
    > > > On Thu, 15 Jul 2021 at 12:30, Ranier Vilela <ranier.vf@gmail.com>
    > wrote:
    > > > >
    > > > > Em qua., 14 de jul. de 2021 às 21:21, David Rowley <
    > dgrowleyml@gmail.com> escreveu:
    > > > >> But, in v8 there is no additional branch, so no branch to
    > mispredict.
    > > > >> I don't really see how your explanation fits.
    > > > >
    > > > > In v8 the branch occurs at :
    > > > > + if (ExecGetResultType(outerPlanState(sortstate))->natts == 1)
    > > >
    > > > You do know that branch is in a function that's only executed once
    > > > during executor initialization, right?
    > >
    > > This is why I have a hard time believing there's a "real" change here
    > > and not the result of either noise or something not really
    > > controllable like executable layout changing.
    >
    > Yeah, I think we likely are at the level where layout changes in the
    > compiled code are going to make things hard to measure.  I just want
    > to make sure we're not going to end up with some regression that's
    > actual and not random depending on layout changes of unrelated code.
    > I think a branch that's taken consistently *should* be predicted
    > correctly each time.
    
    
    > Anyway, I think all the comparisons with v7b can safely be ignored. As
    > Ronan pointed out, v7b has some issues due to it not recording the
    > sort method in the executor state that leads to it forgetting which
    > method it used once we start pulling tuples from it. The reproductions
    > of that are it calling tuplesort_gettupleslot() from the 2nd tuple
    > onwards regardless of if we've done a datum or tuple sort.
    >
    Sorry for insisting on this.
    Assuming v7b is doing it the wrong way, which I still don't think it is.
    Why is it still faster than v6 and v8?
    
    regards,
    Ranier Vilela
    
  36. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ronan Dunklau <ronan.dunklau@aiven.io> — 2021-07-15T14:53:29Z

    Le jeudi 15 juillet 2021, 16:19:23 CEST David Rowley a écrit :> 
    > Ronan's latest results plus John's make me think there's no need to
    > separate out the node function as I did in v8.  However, I do think v6
    > could learn a little from v8. I think I'd rather see the sort method
    > determined in ExecInitSort() rather than ExecSort(). I think
    > minimising those few extra instructions in ExecSort() might help the
    > L1 instruction cache.
    > 
    
    I'm not sure I understand what you expect from moving that to ExecInitSort ? 
    Maybe we should also implement the tuplesort_state initialization in 
    ExecInitSort ? (not the actual feeding and sorting of course).
    
    Please find attached a v9 just moving the flag setting to ExecInitSort, and my 
    apologies if I misunderstood your point.
    
    -- 
    Ronan Dunklau
  37. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    James Coleman <jtc331@gmail.com> — 2021-07-15T17:00:36Z

    On Thu, Jul 15, 2021 at 10:19 AM David Rowley <dgrowleyml@gmail.com> wrote:
    >
    > On Fri, 16 Jul 2021 at 01:44, James Coleman <jtc331@gmail.com> wrote:
    > >
    > > On Wed, Jul 14, 2021 at 9:22 PM David Rowley <dgrowleyml@gmail.com> wrote:
    > > >
    > > > On Thu, 15 Jul 2021 at 12:30, Ranier Vilela <ranier.vf@gmail.com> wrote:
    > > > >
    > > > > Em qua., 14 de jul. de 2021 às 21:21, David Rowley <dgrowleyml@gmail.com> escreveu:
    > > > >> But, in v8 there is no additional branch, so no branch to mispredict.
    > > > >> I don't really see how your explanation fits.
    > > > >
    > > > > In v8 the branch occurs at :
    > > > > + if (ExecGetResultType(outerPlanState(sortstate))->natts == 1)
    > > >
    > > > You do know that branch is in a function that's only executed once
    > > > during executor initialization, right?
    > >
    > > This is why I have a hard time believing there's a "real" change here
    > > and not the result of either noise or something not really
    > > controllable like executable layout changing.
    >
    > Yeah, I think we likely are at the level where layout changes in the
    > compiled code are going to make things hard to measure.  I just want
    > to make sure we're not going to end up with some regression that's
    > actual and not random depending on layout changes of unrelated code.
    > I think a branch that's taken consistently *should* be predicted
    > correctly each time.
    >
    > Anyway, I think all the comparisons with v7b can safely be ignored. As
    > Ronan pointed out, v7b has some issues due to it not recording the
    > sort method in the executor state that leads to it forgetting which
    > method it used once we start pulling tuples from it. The reproductions
    > of that are it calling tuplesort_gettupleslot() from the 2nd tuple
    > onwards regardless of if we've done a datum or tuple sort.
    >
    > Ronan's latest results plus John's make me think there's no need to
    > separate out the node function as I did in v8.  However, I do think v6
    > could learn a little from v8. I think I'd rather see the sort method
    > determined in ExecInitSort() rather than ExecSort(). I think
    > minimising those few extra instructions in ExecSort() might help the
    > L1 instruction cache.
    
    I ran master/v6/v8 tests for 90s each with David's test script on an
    AWS c5n.metal instance (so should be immune to noise neighbor issues).
    Here are comparative results:
    
        Test1 Test2 Test3 Test4 Test5 Test6 Test7 Test8
    v6 68.66% 0.05% 32.21% -0.83% 12.58% 10.42% -1.48% 50.98%
    v8 69.78% -0.44% 32.45% -1.11% 12.01% 10.58% -1.40% 49.30%
    
    So I see a consistent change in the data, but I don't really see a
    good explanation for it not being noise. Can't prove that yet though.
    
    James
    
    
    
    
  38. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-16T02:16:21Z

    On Fri, 16 Jul 2021 at 02:53, Ronan Dunklau <ronan.dunklau@aiven.io> wrote:
    >
    > Le jeudi 15 juillet 2021, 16:19:23 CEST David Rowley a écrit :>
    > > Ronan's latest results plus John's make me think there's no need to
    > > separate out the node function as I did in v8.  However, I do think v6
    > > could learn a little from v8. I think I'd rather see the sort method
    > > determined in ExecInitSort() rather than ExecSort(). I think
    > > minimising those few extra instructions in ExecSort() might help the
    > > L1 instruction cache.
    > >
    >
    > I'm not sure I understand what you expect from moving that to ExecInitSort ?
    
    The motivation was to reduce the extra code that's being added to
    ExecSort. I checked the assembly of ExecSort on v6 and v9 and v6 was
    544 lines of assembly and v9 is 534 lines.
    
    > Maybe we should also implement the tuplesort_state initialization in
    > ExecInitSort ? (not the actual feeding and sorting of course).
    
    I don't think that would be a good idea.  Setting the datumSort does
    not require any new memory to be allocated. That's not the case for
    the tuplesort_begin routines.  The difference here is that we can
    delay the memory allocation until we pull the first tuple and if we
    don't pull any tuples from the outer node then there are no needless
    allocations.
    
    > Please find attached a v9 just moving the flag setting to ExecInitSort, and my
    > apologies if I misunderstood your point.
    
    That's exactly what I meant. Thanks
    
    David
    
    
    
    
  39. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-16T03:44:49Z

    On Fri, 16 Jul 2021 at 02:53, Ronan Dunklau <ronan.dunklau@aiven.io> wrote:
    > Please find attached a v9 just moving the flag setting to ExecInitSort, and my
    > apologies if I misunderstood your point.
    
    I took this and adjusted a few things and ended up with the attached patch.
    
    The changes are fairly minor. I made the bracing consistent between
    both tuplesort_begin calls. I rewrote the comment at the top of
    ExecSort() to make it more clear about each method used.
    
    I also adjusted the comment down at the end of ExecSort that was
    mentioning something about tuplesort_gettupleslot returning NULL.
    Your patch didn't touch this, but to me, the comment just looked wrong
    both before and after the changes. tuplesort_gettupleslot returns
    false and sets the slot to empty when it runs out of tuples.  Anyway,
    I wrote something there that I think improves that.
    
    I feel like this patch is commit-worthy now.  However, I'll leave it
    for a few days, maybe until after the weekend as there's been a fair
    bit of interest and I imagine someone will have comments to make.
    
    David
    
  40. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-16T10:22:39Z

    Em sex., 16 de jul. de 2021 às 00:45, David Rowley <dgrowleyml@gmail.com>
    escreveu:
    
    > On Fri, 16 Jul 2021 at 02:53, Ronan Dunklau <ronan.dunklau@aiven.io>
    > wrote:
    > > Please find attached a v9 just moving the flag setting to ExecInitSort,
    > and my
    > > apologies if I misunderstood your point.
    >
    > I took this and adjusted a few things and ended up with the attached patch.
    >
    > The changes are fairly minor. I made the bracing consistent between
    > both tuplesort_begin calls. I rewrote the comment at the top of
    > ExecSort() to make it more clear about each method used.
    >
    With relation to the braces, it's still not clear to me which style to
    follow.
    I gave Ronan directions about it.
    And I think maybe, it's still not clear when to use it or not.
    
    
    > I also adjusted the comment down at the end of ExecSort that was
    > mentioning something about tuplesort_gettupleslot returning NULL.
    > Your patch didn't touch this, but to me, the comment just looked wrong
    > both before and after the changes. tuplesort_gettupleslot returns
    > false and sets the slot to empty when it runs out of tuples.  Anyway,
    > I wrote something there that I think improves that.
    >
    Can help a little here, but, seems good to me.
    
    
    > I feel like this patch is commit-worthy now.  However, I'll leave it
    > for a few days, maybe until after the weekend as there's been a fair
    > bit of interest and I imagine someone will have comments to make.
    >
    A little lack of time.
    
    But I finally can understand v7b.
    Really struct field is necessary and he fails with the next tuple, ok.
    The only conclusion I can come to is that he is faster because he fails to
    sort correctly.
    It's no use being faster and getting wrong results.
    
    So, +1 from me to commit v10.
    
    Thanks for working together.
    
    Ranier Vilela
    
  41. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    James Coleman <jtc331@gmail.com> — 2021-07-16T13:14:33Z

    On Thu, Jul 15, 2021 at 11:45 PM David Rowley <dgrowleyml@gmail.com> wrote:
    >
    > On Fri, 16 Jul 2021 at 02:53, Ronan Dunklau <ronan.dunklau@aiven.io> wrote:
    > > Please find attached a v9 just moving the flag setting to ExecInitSort, and my
    > > apologies if I misunderstood your point.
    >
    > I took this and adjusted a few things and ended up with the attached patch.
    >
    > The changes are fairly minor. I made the bracing consistent between
    > both tuplesort_begin calls. I rewrote the comment at the top of
    > ExecSort() to make it more clear about each method used.
    >
    > I also adjusted the comment down at the end of ExecSort that was
    > mentioning something about tuplesort_gettupleslot returning NULL.
    > Your patch didn't touch this, but to me, the comment just looked wrong
    > both before and after the changes. tuplesort_gettupleslot returns
    > false and sets the slot to empty when it runs out of tuples.  Anyway,
    > I wrote something there that I think improves that.
    >
    > I feel like this patch is commit-worthy now.  However, I'll leave it
    > for a few days, maybe until after the weekend as there's been a fair
    > bit of interest and I imagine someone will have comments to make.
    
    The only remaining question I have is whether or not costing needs to
    change, given the very significant speedup for datum sort.
    
    James
    
    
    
    
  42. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-17T08:36:09Z

     On Sat, 17 Jul 2021 at 01:14, James Coleman <jtc331@gmail.com> wrote:
    > The only remaining question I have is whether or not costing needs to
    > change, given the very significant speedup for datum sort.
    
    I'm looking at cost_tuplesort and the only thing that I think might
    make sense would be to adjust how the input_bytes value is calculated.
    For now, that's done with the following function that's used in quite
    a number of places.
    
    static double
    relation_byte_size(double tuples, int width)
    {
        return tuples * (MAXALIGN(width) + MAXALIGN(SizeofHeapTupleHeader));
    }
    
    It seems, at least in the case of Sort, that using SizeofHeapTupleHead
    is just always wrong as it should be SizeofMinimalTupleHeader. I know
    that's also the case for Memoize too. I've not checked the other
    locations.
    
    The only thing I can really see that we might do would be not add the
    MAXALIGN(SizeofHeapTupleHeader) when there's just a single column.
    We'd need to pass down the number of attributes from
    create_sort_path() so we'd know when and when not to add that. I'm not
    saying that we should do this. I'm just saying that I don't really see
    what else we might do.
    
    I can imagine another patch might just want to do a complete overhaul
    of all locations that use relation_byte_size().  There are various
    things that function just does not account for. e.g, the fact that we
    allocate chunks in powers of 2 and that there's a chunk header added
    on.  Of course, "width" is just an estimate, so maybe trying to
    calculate something too precisely wouldn't be too wise. However,
    there's a bit of a chicken and the egg problem there as there'd be
    little incentive to improve "width" unless we started making more
    accurate use of the value.
    
    Anyway, none of the above take into account that the Datum sort is
    just a little faster, The only thing that exists in the existing cost
    modal that we could use to adjust the cost of an in memory sort is the
    comparison_cost.  The problem there is that the comparison is exactly
    the same in both Datum and Tuple sorts. The only thing that really
    changes between Datum and Tuple sort is the fact that we don't make a
    MinimalTuple when doing a Datum sort.  The cost modal, unfortunately,
    does not account for that.   That kinda makes me think that we should
    do nothing as if we start to account for making MemoryTuples then
    we'll just penalise Tuple sorts and that might cause someone to be
    upset.
    
    David
    
    
    
    
  43. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ronan Dunklau <ronan.dunklau@aiven.io> — 2021-07-19T05:50:16Z

    Le samedi 17 juillet 2021, 10:36:09 CEST David Rowley a écrit :
    >  On Sat, 17 Jul 2021 at 01:14, James Coleman <jtc331@gmail.com> wrote:
    > > The only remaining question I have is whether or not costing needs to
    > > change, given the very significant speedup for datum sort.
    > 
    > I'm looking at cost_tuplesort and the only thing that I think might
    > make sense would be to adjust how the input_bytes value is calculated.
    > For now, that's done with the following function that's used in quite
    > a number of places.
    > 
    > static double
    > relation_byte_size(double tuples, int width)
    > {
    >     return tuples * (MAXALIGN(width) + MAXALIGN(SizeofHeapTupleHeader));
    > }
    > 
    > It seems, at least in the case of Sort, that using SizeofHeapTupleHead
    > is just always wrong as it should be SizeofMinimalTupleHeader. I know
    > that's also the case for Memoize too. I've not checked the other
    > locations.
    > 
    > The only thing I can really see that we might do would be not add the
    > MAXALIGN(SizeofHeapTupleHeader) when there's just a single column.
    > We'd need to pass down the number of attributes from
    > create_sort_path() so we'd know when and when not to add that. I'm not
    > saying that we should do this. I'm just saying that I don't really see
    > what else we might do.
    > 
    > I can imagine another patch might just want to do a complete overhaul
    > of all locations that use relation_byte_size().  There are various
    > things that function just does not account for. e.g, the fact that we
    > allocate chunks in powers of 2 and that there's a chunk header added
    > on.  Of course, "width" is just an estimate, so maybe trying to
    > calculate something too precisely wouldn't be too wise. However,
    > there's a bit of a chicken and the egg problem there as there'd be
    > little incentive to improve "width" unless we started making more
    > accurate use of the value.
    > 
    > Anyway, none of the above take into account that the Datum sort is
    > just a little faster, The only thing that exists in the existing cost
    > modal that we could use to adjust the cost of an in memory sort is the
    > comparison_cost.  The problem there is that the comparison is exactly
    > the same in both Datum and Tuple sorts. The only thing that really
    > changes between Datum and Tuple sort is the fact that we don't make a
    > MinimalTuple when doing a Datum sort.  The cost modal, unfortunately,
    > does not account for that.   That kinda makes me think that we should
    > do nothing as if we start to account for making MemoryTuples then
    > we'll just penalise Tuple sorts and that might cause someone to be
    > upset.
    > 
    Thank you for taking the time to perform that analysis. I agree with you and 
    tt looks to me that if we were to start accounting for it, we would have to 
    make the change almost transparent for tuple sorts so that it stays roughly 
    the same, which is impossible since we don't apply the comparison cost to all 
    tuples but only to the number of tuples we actually expect to compare.
    
    On the other hand, if we don't change the sorting cost and it just ends up 
    being faster in some cases I doubt anyone would complain.
    
    
    -- 
    Ronan Dunklau
    
    
    
    
    
    
  44. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    James Coleman <jtc331@gmail.com> — 2021-07-19T13:10:46Z

    On Sat, Jul 17, 2021 at 4:36 AM David Rowley <dgrowleyml@gmail.com> wrote:
    >
    >  On Sat, 17 Jul 2021 at 01:14, James Coleman <jtc331@gmail.com> wrote:
    > > The only remaining question I have is whether or not costing needs to
    > > change, given the very significant speedup for datum sort.
    >
    > I'm looking at cost_tuplesort and the only thing that I think might
    > make sense would be to adjust how the input_bytes value is calculated.
    > For now, that's done with the following function that's used in quite
    > a number of places.
    >
    > static double
    > relation_byte_size(double tuples, int width)
    > {
    >     return tuples * (MAXALIGN(width) + MAXALIGN(SizeofHeapTupleHeader));
    > }
    >
    > It seems, at least in the case of Sort, that using SizeofHeapTupleHead
    > is just always wrong as it should be SizeofMinimalTupleHeader. I know
    > that's also the case for Memoize too. I've not checked the other
    > locations.
    >
    > The only thing I can really see that we might do would be not add the
    > MAXALIGN(SizeofHeapTupleHeader) when there's just a single column.
    > We'd need to pass down the number of attributes from
    > create_sort_path() so we'd know when and when not to add that. I'm not
    > saying that we should do this. I'm just saying that I don't really see
    > what else we might do.
    >
    > I can imagine another patch might just want to do a complete overhaul
    > of all locations that use relation_byte_size().  There are various
    > things that function just does not account for. e.g, the fact that we
    > allocate chunks in powers of 2 and that there's a chunk header added
    > on.  Of course, "width" is just an estimate, so maybe trying to
    > calculate something too precisely wouldn't be too wise. However,
    > there's a bit of a chicken and the egg problem there as there'd be
    > little incentive to improve "width" unless we started making more
    > accurate use of the value.
    >
    > Anyway, none of the above take into account that the Datum sort is
    > just a little faster, The only thing that exists in the existing cost
    > modal that we could use to adjust the cost of an in memory sort is the
    > comparison_cost.  The problem there is that the comparison is exactly
    > the same in both Datum and Tuple sorts. The only thing that really
    > changes between Datum and Tuple sort is the fact that we don't make a
    > MinimalTuple when doing a Datum sort.  The cost modal, unfortunately,
    > does not account for that.   That kinda makes me think that we should
    > do nothing as if we start to account for making MemoryTuples then
    > we'll just penalise Tuple sorts and that might cause someone to be
    > upset.
    
    To be clear up front: I'm in favor of the patch, and I don't want to
    put unnecessary stumbling blocks up for it getting committed. So if we
    decide to proceed as is, that's fine with me.
    
    But I'm not sure that the "cost model, unfortunately, does not account
    for that" is entirely accurate. The end of cost_tuplesort contains a
    cost "per extracted tuple". It does, however, note that it doesn't
    charge cpu_tuple_cost, which maybe is what you'd want to fully
    incorporate this into the model. But given this run_cost isn't about
    accounting for comparison cost (that's been done earlier) which is the
    part that'd be the same between tuple and datum sort, it seems to me
    that we could lower the cpu_operator_cost here by something like 10%
    if it's byref and 30% if it's byval?
    
    James
    
    
    
    
  45. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-20T08:34:51Z

    On Tue, 20 Jul 2021 at 01:10, James Coleman <jtc331@gmail.com> wrote:
    > To be clear up front: I'm in favor of the patch, and I don't want to
    > put unnecessary stumbling blocks up for it getting committed. So if we
    > decide to proceed as is, that's fine with me.
    
    Thanks for making that clear.
    
    > But I'm not sure that the "cost model, unfortunately, does not account
    > for that" is entirely accurate. The end of cost_tuplesort contains a
    > cost "per extracted tuple". It does, however, note that it doesn't
    > charge cpu_tuple_cost, which maybe is what you'd want to fully
    > incorporate this into the model. But given this run_cost isn't about
    > accounting for comparison cost (that's been done earlier) which is the
    > part that'd be the same between tuple and datum sort, it seems to me
    > that we could lower the cpu_operator_cost here by something like 10%
    > if it's byref and 30% if it's byval?
    
    I failed to notice that last part that adds the additional cpu_operator_cost.
    
    The default cpu_operator_cost is 0.0025, so with the 10k tuple
    benchmark, that adds an additional charge of 25 to the total cost.
    
    If we take test 1 from my results on v5 as an example:
    
    > Test1 446.1 657.3 147.32%
    
    Looking at explain for that query:
    
    regression=# explain select two from tenk1 order by two offset 1000000;
                                  QUERY PLAN
    ----------------------------------------------------------------------
     Limit  (cost=1133.95..1133.95 rows=1 width=4)
       ->  Sort  (cost=1108.97..1133.95 rows=9995 width=4)
             Sort Key: two
             ->  Seq Scan on tenk1  (cost=0.00..444.95 rows=9995 width=4)
    (4 rows)
    
    If we want the costs to reflect reality again here then we'd have
    reduce 1133.95 by something like 147.32% (the performance difference).
    That would bring the cost down to 769.72, which is way more than we
    have to play with than the 25 that the cpu_operator_cost * tuples
    gives us.
    
    If we reduced the 25 by 30% in this case, we'd get 17.5 and the total
    cost would become 1126.45.  That's not great considering the actual
    performance indicates that 769.72 would be a better number.
    
    If we look at John's result for test 1: He saw 588 tps on master and
    998 on v8.  1133.95 / 998.0 * 588.0 = 668.09, so we'd need even more
    to get close to reality on that machine.
    
    My thoughts are that the small surcharge added at the end of
    cost_tuplesort() is just not enough for us to play with.  I think to
    get us closer to fixing this correctly would require a redesign of the
    tuplesort costing entirely. I think that would be about an order of
    magnitude more effort than this patch was, so I really feel like I
    don't want to do this.
    
    I kinda feel that since the comparison_cost is always just 2.0 *
    cpu_operator_cost regardless of the number of columns in the sort,
    then if we add too many new smarts to try and properly adjust for this
    new optimization, unless we do a completly new cost modal for this,
    then we might as well be putting lipstick on a pig.
    
    It sounds like James mostly just mentioned the sorting just to ensure
    it was properly considered and does not really feel strongly that it
    needs to be adjusted.  Does anyone else feel that we should be
    adjusting it?
    
    David
    
    
    
    
  46. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Ranier Vilela <ranier.vf@gmail.com> — 2021-07-20T11:28:35Z

    Em ter., 20 de jul. de 2021 às 05:35, David Rowley <dgrowleyml@gmail.com>
    escreveu:
    
    > On Tue, 20 Jul 2021 at 01:10, James Coleman <jtc331@gmail.com> wrote:
    > > To be clear up front: I'm in favor of the patch, and I don't want to
    > > put unnecessary stumbling blocks up for it getting committed. So if we
    > > decide to proceed as is, that's fine with me.
    >
    > Thanks for making that clear.
    >
    > > But I'm not sure that the "cost model, unfortunately, does not account
    > > for that" is entirely accurate. The end of cost_tuplesort contains a
    > > cost "per extracted tuple". It does, however, note that it doesn't
    > > charge cpu_tuple_cost, which maybe is what you'd want to fully
    > > incorporate this into the model. But given this run_cost isn't about
    > > accounting for comparison cost (that's been done earlier) which is the
    > > part that'd be the same between tuple and datum sort, it seems to me
    > > that we could lower the cpu_operator_cost here by something like 10%
    > > if it's byref and 30% if it's byval?
    >
    > I failed to notice that last part that adds the additional
    > cpu_operator_cost.
    >
    > The default cpu_operator_cost is 0.0025, so with the 10k tuple
    > benchmark, that adds an additional charge of 25 to the total cost.
    >
    > If we take test 1 from my results on v5 as an example:
    >
    > > Test1 446.1 657.3 147.32%
    >
    > Looking at explain for that query:
    >
    > regression=# explain select two from tenk1 order by two offset 1000000;
    >                               QUERY PLAN
    > ----------------------------------------------------------------------
    >  Limit  (cost=1133.95..1133.95 rows=1 width=4)
    >    ->  Sort  (cost=1108.97..1133.95 rows=9995 width=4)
    >          Sort Key: two
    >          ->  Seq Scan on tenk1  (cost=0.00..444.95 rows=9995 width=4)
    > (4 rows)
    >
    > If we want the costs to reflect reality again here then we'd have
    > reduce 1133.95 by something like 147.32% (the performance difference).
    > That would bring the cost down to 769.72, which is way more than we
    > have to play with than the 25 that the cpu_operator_cost * tuples
    > gives us.
    >
    > If we reduced the 25 by 30% in this case, we'd get 17.5 and the total
    > cost would become 1126.45.  That's not great considering the actual
    > performance indicates that 769.72 would be a better number.
    >
    > If we look at John's result for test 1: He saw 588 tps on master and
    > 998 on v8.  1133.95 / 998.0 * 588.0 = 668.09, so we'd need even more
    > to get close to reality on that machine.
    >
    > My thoughts are that the small surcharge added at the end of
    > cost_tuplesort() is just not enough for us to play with.  I think to
    > get us closer to fixing this correctly would require a redesign of the
    > tuplesort costing entirely. I think that would be about an order of
    > magnitude more effort than this patch was, so I really feel like I
    > don't want to do this.
    >
    I understand that redesign would require a lot of work,
    but why not do it step by step?
    
    
    > I kinda feel that since the comparison_cost is always just 2.0 *
    > cpu_operator_cost regardless of the number of columns in the sort,
    > then if we add too many new smarts to try and properly adjust for this
    > new optimization, unless we do a completly new cost modal for this,
    > then we might as well be putting lipstick on a pig.
    >
    I think one first step is naming this 2.0?
    Does this magic number don't have a good name?
    
    
    >
    > It sounds like James mostly just mentioned the sorting just to ensure
    > it was properly considered and does not really feel strongly that it
    > needs to be adjusted.  Does anyone else feel that we should be
    > adjusting it?
    >
    I took a look at cost_tuplesort and I think that some small adjustments
    could be made as part of the improvement process.
    It is attached.
    1. long is a very problematic type; better int64?
    2. 1024 can be int, not long?
    3. 2 changed all to 2.0 (double)?
    4. If disk-based is not needed, IMO can we avoid calling relation_byte_size?
    
    Finally, to at least document (add comments) those conclusions,
    would be nice, wouldn't it?
    
    regards,
    Ranier Vilela
    
  47. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-21T01:07:35Z

    On Fri, 16 Jul 2021 at 15:44, David Rowley <dgrowleyml@gmail.com> wrote:
    >
    > On Fri, 16 Jul 2021 at 02:53, Ronan Dunklau <ronan.dunklau@aiven.io> wrote:
    > > Please find attached a v9 just moving the flag setting to ExecInitSort, and my
    > > apologies if I misunderstood your point.
    >
    > I took this and adjusted a few things and ended up with the attached patch.
    
    Attaching the same v10 patch again so the CF bot picks up the correct
    patch again.
    
    David
    
  48. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-21T01:15:19Z

    On Tue, 20 Jul 2021 at 23:28, Ranier Vilela <ranier.vf@gmail.com> wrote:
    > I took a look at cost_tuplesort and I think that some small adjustments could be made as part of the improvement process.
    > It is attached.
    > 1. long is a very problematic type; better int64?
    > 2. 1024 can be int, not long?
    > 3. 2 changed all to 2.0 (double)?
    > 4. If disk-based is not needed, IMO can we avoid calling relation_byte_size?
    >
    > Finally, to at least document (add comments) those conclusions,
    > would be nice, wouldn't it?
    
    I don't think there's anything useful here. If you think otherwise,
    please take it to another thread.  Also, I'd recommend at least
    compiling any patches you send to -hackers in the future. Going by the
    CF bot, this one does not.
    
    You might also want to read up on type promotion rules in C.  Your
    sort_mem calculation change does not do what you think it does. Class
    it as homework to figure out what's wrong with it.  No need to report
    your findings here. Just thought it would be useful for you to learn
    those things.
    
    David
    
    
    
    
  49. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    James Coleman <jtc331@gmail.com> — 2021-07-21T01:39:14Z

    On Tue, Jul 20, 2021 at 4:35 AM David Rowley <dgrowleyml@gmail.com> wrote:
    >
    > On Tue, 20 Jul 2021 at 01:10, James Coleman <jtc331@gmail.com> wrote:
    > > To be clear up front: I'm in favor of the patch, and I don't want to
    > > put unnecessary stumbling blocks up for it getting committed. So if we
    > > decide to proceed as is, that's fine with me.
    >
    > Thanks for making that clear.
    >
    > > But I'm not sure that the "cost model, unfortunately, does not account
    > > for that" is entirely accurate. The end of cost_tuplesort contains a
    > > cost "per extracted tuple". It does, however, note that it doesn't
    > > charge cpu_tuple_cost, which maybe is what you'd want to fully
    > > incorporate this into the model. But given this run_cost isn't about
    > > accounting for comparison cost (that's been done earlier) which is the
    > > part that'd be the same between tuple and datum sort, it seems to me
    > > that we could lower the cpu_operator_cost here by something like 10%
    > > if it's byref and 30% if it's byval?
    >
    > I failed to notice that last part that adds the additional cpu_operator_cost.
    >
    > The default cpu_operator_cost is 0.0025, so with the 10k tuple
    > benchmark, that adds an additional charge of 25 to the total cost.
    >
    > If we take test 1 from my results on v5 as an example:
    >
    > > Test1 446.1 657.3 147.32%
    >
    > Looking at explain for that query:
    >
    > regression=# explain select two from tenk1 order by two offset 1000000;
    >                               QUERY PLAN
    > ----------------------------------------------------------------------
    >  Limit  (cost=1133.95..1133.95 rows=1 width=4)
    >    ->  Sort  (cost=1108.97..1133.95 rows=9995 width=4)
    >          Sort Key: two
    >          ->  Seq Scan on tenk1  (cost=0.00..444.95 rows=9995 width=4)
    > (4 rows)
    >
    > If we want the costs to reflect reality again here then we'd have
    > reduce 1133.95 by something like 147.32% (the performance difference).
    > That would bring the cost down to 769.72, which is way more than we
    > have to play with than the 25 that the cpu_operator_cost * tuples
    > gives us.
    >
    > If we reduced the 25 by 30% in this case, we'd get 17.5 and the total
    > cost would become 1126.45.  That's not great considering the actual
    > performance indicates that 769.72 would be a better number.
    >
    > If we look at John's result for test 1: He saw 588 tps on master and
    > 998 on v8.  1133.95 / 998.0 * 588.0 = 668.09, so we'd need even more
    > to get close to reality on that machine.
    >
    > My thoughts are that the small surcharge added at the end of
    > cost_tuplesort() is just not enough for us to play with.  I think to
    > get us closer to fixing this correctly would require a redesign of the
    > tuplesort costing entirely. I think that would be about an order of
    > magnitude more effort than this patch was, so I really feel like I
    > don't want to do this.
    >
    > I kinda feel that since the comparison_cost is always just 2.0 *
    > cpu_operator_cost regardless of the number of columns in the sort,
    > then if we add too many new smarts to try and properly adjust for this
    > new optimization, unless we do a completly new cost modal for this,
    > then we might as well be putting lipstick on a pig.
    >
    > It sounds like James mostly just mentioned the sorting just to ensure
    > it was properly considered and does not really feel strongly that it
    > needs to be adjusted.  Does anyone else feel that we should be
    > adjusting it?
    
    Thanks for doing the math measuring how much we could impact things.
    
    I'm +lots on getting this committed as is.
    
    Thanks all for your work on the improvement!
    
    James
    
    
    
    
  50. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-21T10:09:54Z

    On Wed, 21 Jul 2021 at 13:39, James Coleman <jtc331@gmail.com> wrote:
    > Thanks for doing the math measuring how much we could impact things.
    >
    > I'm +lots on getting this committed as is.
    
    Ok good. I plan on taking a final look at the v10 patch tomorrow
    morning NZ time (about 12 hours from now) and if all is well, I'll
    push it.
    
    If anyone feels differently, please let me know before then.
    
    David
    
    
    
    
  51. RE: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Zhijie Hou (Fujitsu) <houzj.fnst@fujitsu.com> — 2021-07-22T00:27:40Z

    From: David Rowley <dgrowleyml@gmail.com>
    > On Wed, 21 Jul 2021 at 13:39, James Coleman <jtc331@gmail.com> wrote:
    > > Thanks for doing the math measuring how much we could impact things.
    > >
    > > I'm +lots on getting this committed as is.
    > 
    > Ok good. I plan on taking a final look at the v10 patch tomorrow morning NZ
    > time (about 12 hours from now) and if all is well, I'll push it.
    > 
    > If anyone feels differently, please let me know before then.
    Hi,
    
    I noticed a minor thing about the v10 patch.
    
    -
    -		for (;;)
    +		if (node->datumSort)
     		{
    -			slot = ExecProcNode(outerNode);
    -
    -			if (TupIsNull(slot))
    -				break;
    -
    -			tuplesort_puttupleslot(tuplesortstate, slot);
    +			for (;;)
    +			{
    +				slot = ExecProcNode(outerNode);
    +
    +				if (TupIsNull(slot))
    +					break;
    +				slot_getsomeattrs(slot, 1);
    +				tuplesort_putdatum(tuplesortstate,
    +								   slot->tts_values[0],
    +								   slot->tts_isnull[0]);
    +			}
    +		}
    +		else
    +		{
    +			for (;;)
    +			{
    +				slot = ExecProcNode(outerNode);
    +
    +				if (TupIsNull(slot))
    +					break;
    +				tuplesort_puttupleslot(tuplesortstate, slot);
    +			}
    
    The above seems can be shorter like the following ?
    
    for (;;)
    {
    	slot = ExecProcNode(outerNode);
    	if (TupIsNull(slot))
    		break;
    	if (node->datumSort)
    	{
    		slot_getsomeattrs(slot, 1);
    		tuplesort_putdatum(tuplesortstate,
    					slot->tts_values[0],
    					slot->tts_isnull[0]);
    	}
    	else
    		tuplesort_puttupleslot(tuplesortstate, slot);
    }
    
    Best regards,
    houzj
    
    
  52. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-22T00:38:25Z

    On Thu, 22 Jul 2021 at 12:27, houzj.fnst@fujitsu.com
    <houzj.fnst@fujitsu.com> wrote:
    > The above seems can be shorter like the following ?
    >
    > for (;;)
    > {
    >         slot = ExecProcNode(outerNode);
    >         if (TupIsNull(slot))
    >                 break;
    >         if (node->datumSort)
    >         {
    >                 slot_getsomeattrs(slot, 1);
    >                 tuplesort_putdatum(tuplesortstate,
    >                                         slot->tts_values[0],
    >                                         slot->tts_isnull[0]);
    >         }
    >         else
    >                 tuplesort_puttupleslot(tuplesortstate, slot);
    > }
    
    I don't think that's a good change.  It puts the branch inside the
    loop the pulls all tuples from the subplan.  Given the loop is likely
    to be very hot combined with the fact that it's so simple, I'd much
    rather have two separate loops to keep the extra branch outside the
    loop.  It's true the branch predictor is likely to get the prediction
    correct on each iteration, but unless the compiler rewrites this into
    two loops then the comparison and jump must be done per loop.
    
    David
    
    
    
    
  53. RE: [PATCH] Use optimized single-datum tuplesort in ExecSort

    Zhijie Hou (Fujitsu) <houzj.fnst@fujitsu.com> — 2021-07-22T00:53:45Z

    On July 22, 2021 8:38 AM David Rowley <dgrowleyml@gmail.com>
    > On Thu, 22 Jul 2021 at 12:27, houzj.fnst@fujitsu.com <houzj.fnst@fujitsu.com>
    > wrote:
    > > The above seems can be shorter like the following ?
    > >
    > > for (;;)
    > > {
    > >         slot = ExecProcNode(outerNode);
    > >         if (TupIsNull(slot))
    > >                 break;
    > >         if (node->datumSort)
    > >         {
    > >                 slot_getsomeattrs(slot, 1);
    > >                 tuplesort_putdatum(tuplesortstate,
    > >                                         slot->tts_values[0],
    > >                                         slot->tts_isnull[0]);
    > >         }
    > >         else
    > >                 tuplesort_puttupleslot(tuplesortstate, slot); }
    > 
    > I don't think that's a good change.  It puts the branch inside the loop the pulls
    > all tuples from the subplan.  Given the loop is likely to be very hot combined
    > with the fact that it's so simple, I'd much rather have two separate loops to
    > keep the extra branch outside the loop.  It's true the branch predictor is likely
    > to get the prediction correct on each iteration, but unless the compiler
    > rewrites this into two loops then the comparison and jump must be done per
    > loop.
    
    Ah, you are right, I missed that. Thanks for the explanation.
    
    Best regards,
    houzj
    
  54. Re: [PATCH] Use optimized single-datum tuplesort in ExecSort

    David Rowley <dgrowleyml@gmail.com> — 2021-07-22T02:04:04Z

    On Wed, 21 Jul 2021 at 22:09, David Rowley <dgrowleyml@gmail.com> wrote:
    >
    > On Wed, 21 Jul 2021 at 13:39, James Coleman <jtc331@gmail.com> wrote:
    > > Thanks for doing the math measuring how much we could impact things.
    > >
    > > I'm +lots on getting this committed as is.
    >
    > Ok good. I plan on taking a final look at the v10 patch tomorrow
    > morning NZ time (about 12 hours from now) and if all is well, I'll
    > push it.
    
    Pushed.
    
    David