Dataflow: Fix join in fwdFlowRead (take 2)#12072
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MathiasVP merged 2 commits intogithub:mainfrom Feb 6, 2023
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…of the Content-to-Ap relation.
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cc @MathiasVP |
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Indeed, this fixes the join-order issue we observed on Pipeline order_500000 for DataFlowImpl3#c0e9fca6::MkStage#Stage2#::Stage#Stage3Param#::fwdFlowRead#9#fffffffff#reorder_0_1_8_2_3_4_5_6_7@3338d1w4 was evaluated in 178 iterations totaling 86ms (delta sizes total: 3254).
35708 ~0% {7} r1 = SCAN DataFlowImpl3#c0e9fca6::MkStage#Stage2#::Stage#Stage3Param#::fwdFlow#8#ffffffff#prev_delta OUTPUT In.5, In.0, In.1, In.2, In.3, In.4, In.7
10590 ~0% {8} r2 = JOIN r1 WITH DataFlowImpl3#c0e9fca6::Stage3Param::getHeadContent#1#ff ON FIRST 1 OUTPUT Lhs.1, Rhs.1, Lhs.6, Lhs.2, Lhs.3, Lhs.4, Lhs.5, Lhs.0
3254 ~0% {9} r3 = JOIN r2 WITH DataFlowImpl3#c0e9fca6::MkStage#Stage2#::Stage#Stage3Param#::readStepCand#5#fffff_01423#join_rhs ON FIRST 3 OUTPUT Lhs.0, Lhs.3, Lhs.4, Lhs.5, Lhs.6, Lhs.7, Lhs.2, Rhs.3, Rhs.4
3254 ~0% {9} r4 = r3 AND NOT DataFlowImpl3#c0e9fca6::MkStage#Stage2#::Stage#Stage3Param#::fwdFlowRead#9#fffffffff#reorder_0_1_8_2_3_4_5_6_7#prev(Lhs.5, Lhs.7, Lhs.6, Lhs.0, Lhs.8, Lhs.1, Lhs.2, Lhs.3, Lhs.4)
3254 ~0% {9} r5 = SCAN r4 OUTPUT In.5, In.7, In.6, In.0, In.8, In.1, In.2, In.3, In.4
return r5
Pipeline order_500000 for DataFlowImpl3#c0e9fca6::MkStage#Stage3#::Stage#Stage4Param#::fwdFlowRead#9#fffffffff#reorder_0_1_8_2_3_4_5_6_7@bc0f31wo was evaluated in 216 iterations totaling 129ms (delta sizes total: 4676).
93351 ~1% {7} r1 = SCAN DataFlowImpl3#c0e9fca6::MkStage#Stage3#::Stage#Stage4Param#::fwdFlow#8#ffffffff#prev_delta OUTPUT In.5, In.0, In.1, In.2, In.3, In.4, In.7
65533 ~1% {9} r2 = JOIN r1 WITH DataFlowImpl3#c0e9fca6::Stage4Param::getHeadContent#1#ff ON FIRST 1 OUTPUT Lhs.1, Rhs.1, Rhs.1, Lhs.6, Lhs.2, Lhs.3, Lhs.4, Lhs.5, Lhs.0
4676 ~0% {9} r3 = JOIN r2 WITH DataFlowImpl3#c0e9fca6::MkStage#Stage3#::Stage#Stage4Param#::readStepCand#5#fffff_01243#join_rhs ON FIRST 4 OUTPUT Lhs.0, Lhs.4, Lhs.5, Lhs.6, Lhs.7, Lhs.8, Lhs.3, Lhs.1, Rhs.4
4676 ~0% {9} r4 = r3 AND NOT DataFlowImpl3#c0e9fca6::MkStage#Stage3#::Stage#Stage4Param#::fwdFlowRead#9#fffffffff#reorder_0_1_8_2_3_4_5_6_7#prev(Lhs.5, Lhs.7, Lhs.6, Lhs.0, Lhs.8, Lhs.1, Lhs.2, Lhs.3, Lhs.4)
4676 ~1% {9} r5 = SCAN r4 OUTPUT In.5, In.7, In.6, In.0, In.8, In.1, In.2, In.3, In.4
return r5
Pipeline order_500000 for DataFlowImpl3#c0e9fca6::MkStage#Stage4#::Stage#Stage5Param#::fwdFlowRead#9#fffffffff#reorder_0_1_8_2_3_4_5_6_7@dac2c2w3 was evaluated in 177 iterations totaling 78ms (delta sizes total: 3327).
32164 ~1% {7} r1 = SCAN DataFlowImpl3#c0e9fca6::MkStage#Stage4#::Stage#Stage5Param#::fwdFlow#8#ffffffff#prev_delta OUTPUT In.5, In.0, In.1, In.2, In.3, In.4, In.7
7997 ~0% {9} r2 = JOIN r1 WITH DataFlowImpl3#c0e9fca6::Stage5Param::getHeadContent#1#ff ON FIRST 1 OUTPUT Lhs.1, Rhs.1, Rhs.1, Lhs.6, Lhs.2, Lhs.3, Lhs.4, Lhs.5, Lhs.0
3327 ~0% {9} r3 = JOIN r2 WITH DataFlowImpl3#c0e9fca6::MkStage#Stage4#::Stage#Stage5Param#::readStepCand#5#fffff_01243#join_rhs ON FIRST 4 OUTPUT Lhs.0, Lhs.4, Lhs.5, Lhs.6, Lhs.7, Lhs.8, Lhs.3, Lhs.1, Rhs.4
3327 ~0% {9} r4 = r3 AND NOT DataFlowImpl3#c0e9fca6::MkStage#Stage4#::Stage#Stage5Param#::fwdFlowRead#9#fffffffff#reorder_0_1_8_2_3_4_5_6_7#prev(Lhs.5, Lhs.7, Lhs.6, Lhs.0, Lhs.8, Lhs.1, Lhs.2, Lhs.3, Lhs.4)
3327 ~0% {9} r5 = SCAN r4 OUTPUT In.5, In.7, In.6, In.0, In.8, In.1, In.2, In.3, In.4
return r5 |
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dca looks uneventful |
MathiasVP
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Feb 6, 2023
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LGTM! Thanks for properly fixing this 🙂.
MathiasVP
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Feb 6, 2023
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MathiasVP
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LGTM! Thanks for properly fixing this 🙂.
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This ought to be a proper fix, replacing #12009.
The relation between the
Aptype andContentis a necessary constraint when traversing a read step. This relation is mostly functional fromAptoContent, except for stage 2 where it is a trivial cartesian product. This has meant that we've until recently been able to rely on this functionality when designing the join-order. However, the newly introduced stage 3 broke this (approximated contents meant that the relation was mostly functional in the opposite direction), so in order for us to come up with a join-order that works for all stages I've introduced an intermediate type to represent the precision level ofContentin the stage-dependentAptype. That way we can decompose theAp-to-Contentrelation into two relations with stage-independent functionality directions.