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Decimal multiply kernel should not cause precision loss #5675

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Decimal multiply kernel should not cause precision loss #5675

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9dcb56c
Decimal multiply kernel should not cause precision loss
viirya Mar 21, 2023
d0f4924
Fix
viirya Mar 22, 2023
3769b51
Fix
viirya Mar 26, 2023
97dd4ea
Fix
viirya Mar 26, 2023
03f6c72
Fix
viirya Mar 27, 2023
333d987
Fix
viirya Mar 27, 2023
373c28e
Fix
viirya Mar 29, 2023
276e8b7
For new tree node api
viirya Mar 29, 2023
15d4242
Fix expected plans
viirya Mar 29, 2023
c6fbea1
fix
viirya Mar 29, 2023
8012386
Fix q8_expected_plan
viirya Mar 29, 2023
bc2e7cf
More
viirya Mar 29, 2023
81cc07b
Fix test
viirya Mar 29, 2023
036cfda
Trigger Build
viirya Mar 29, 2023
9db0f93
Update proto
viirya Mar 29, 2023
eda37ed
fix
viirya Mar 29, 2023
fb9a27a
fix
viirya Mar 30, 2023
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46 changes: 23 additions & 23 deletions benchmarks/expected-plans/q1.txt
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126 changes: 63 additions & 63 deletions benchmarks/expected-plans/q10.txt
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178 changes: 89 additions & 89 deletions benchmarks/expected-plans/q11.txt
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60 changes: 30 additions & 30 deletions benchmarks/expected-plans/q14.txt
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132 changes: 66 additions & 66 deletions benchmarks/expected-plans/q15.txt
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8 changes: 4 additions & 4 deletions benchmarks/expected-plans/q17.txt
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | Projection: CAST(SUM(lineitem.l_extendedprice) AS Float64) / Float64(7) AS avg_yearly |
| logical_plan | Projection: PROMOTE_PRECISION(CAST(SUM(lineitem.l_extendedprice) AS Float64)) / Float64(7) AS avg_yearly |
| | Aggregate: groupBy=[[]], aggr=[[SUM(lineitem.l_extendedprice)]] |
| | Projection: lineitem.l_extendedprice |
| | Filter: CAST(lineitem.l_quantity AS Decimal128(30, 15)) < CAST(__scalar_sq_1.__value AS Decimal128(30, 15)) AND __scalar_sq_1.l_partkey = lineitem.l_partkey |
Expand All @@ -14,10 +14,10 @@
| | Filter: part.p_brand = Utf8("Brand#23") AND part.p_container = Utf8("MED BOX") |
| | TableScan: part projection=[p_partkey, p_brand, p_container] |
| | SubqueryAlias: __scalar_sq_1 |
| | Projection: lineitem.l_partkey, Float64(0.2) * CAST(AVG(lineitem.l_quantity) AS Float64) AS __value |
| | Projection: lineitem.l_partkey, Float64(0.2) * PROMOTE_PRECISION(CAST(AVG(lineitem.l_quantity) AS Float64)) AS __value |
| | Aggregate: groupBy=[[lineitem.l_partkey]], aggr=[[AVG(lineitem.l_quantity)]] |
| | TableScan: lineitem projection=[l_partkey, l_quantity] |
| physical_plan | ProjectionExec: expr=[CAST(SUM(lineitem.l_extendedprice)@0 AS Float64) / 7 as avg_yearly] |
| physical_plan | ProjectionExec: expr=[PROMOTE_PRECISION(CAST(SUM(lineitem.l_extendedprice)@0 AS Float64)) / 7 as avg_yearly] |
| | AggregateExec: mode=Final, gby=[], aggr=[SUM(lineitem.l_extendedprice)] |
| | CoalescePartitionsExec |
| | AggregateExec: mode=Partial, gby=[], aggr=[SUM(lineitem.l_extendedprice)] |
Expand All @@ -44,7 +44,7 @@
| | CoalesceBatchesExec: target_batch_size=8192 |
| | FilterExec: p_brand@1 = Brand#23 AND p_container@2 = MED BOX |
| | MemoryExec: partitions=0, partition_sizes=[] |
| | ProjectionExec: expr=[l_partkey@0 as l_partkey, 0.2 * CAST(AVG(lineitem.l_quantity)@1 AS Float64) as __value] |
| | ProjectionExec: expr=[l_partkey@0 as l_partkey, 0.2 * PROMOTE_PRECISION(CAST(AVG(lineitem.l_quantity)@1 AS Float64)) as __value] |
| | AggregateExec: mode=FinalPartitioned, gby=[l_partkey@0 as l_partkey], aggr=[AVG(lineitem.l_quantity)] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: partitioning=Hash([Column { name: "l_partkey", index: 0 }], 2), input_partitions=2 |
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2 changes: 1 addition & 1 deletion benchmarks/expected-plans/q19.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
| plan_type | plan |
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | Projection: SUM(lineitem.l_extendedprice * Int64(1) - lineitem.l_discount) AS revenue |
| | Aggregate: groupBy=[[]], aggr=[[SUM(CAST(lineitem.l_extendedprice AS Decimal128(38, 4)) * CAST(Decimal128(Some(100),23,2) - CAST(lineitem.l_discount AS Decimal128(23, 2)) AS Decimal128(38, 4))) AS SUM(lineitem.l_extendedprice * Int64(1) - lineitem.l_discount)]] |
| | Aggregate: groupBy=[[]], aggr=[[SUM(PROMOTE_PRECISION(CAST(lineitem.l_extendedprice AS Decimal128(23, 2))) * PROMOTE_PRECISION(CAST(Decimal128(Some(100),23,2) - PROMOTE_PRECISION(CAST(lineitem.l_discount AS Decimal128(23, 2))) AS Decimal128(23, 2)))) AS SUM(lineitem.l_extendedprice * Int64(1) - lineitem.l_discount)]] |
| | Projection: lineitem.l_extendedprice, lineitem.l_discount |
| | Filter: part.p_brand = Utf8("Brand#12") AND part.p_container IN ([Utf8("SM CASE"), Utf8("SM BOX"), Utf8("SM PACK"), Utf8("SM PKG")]) AND lineitem.l_quantity >= Decimal128(Some(100),15,2) AND lineitem.l_quantity <= Decimal128(Some(1100),15,2) AND part.p_size <= Int32(5) OR part.p_brand = Utf8("Brand#23") AND part.p_container IN ([Utf8("MED BAG"), Utf8("MED BOX"), Utf8("MED PKG"), Utf8("MED PACK")]) AND lineitem.l_quantity >= Decimal128(Some(1000),15,2) AND lineitem.l_quantity <= Decimal128(Some(2000),15,2) AND part.p_size <= Int32(10) OR part.p_brand = Utf8("Brand#34") AND part.p_container IN ([Utf8("LG CASE"), Utf8("LG BOX"), Utf8("LG PACK"), Utf8("LG PKG")]) AND lineitem.l_quantity >= Decimal128(Some(2000),15,2) AND lineitem.l_quantity <= Decimal128(Some(3000),15,2) AND part.p_size <= Int32(15) |
| | Projection: lineitem.l_quantity, lineitem.l_extendedprice, lineitem.l_discount, part.p_brand, part.p_size, part.p_container |
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4 changes: 2 additions & 2 deletions benchmarks/expected-plans/q20.txt
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Expand Up @@ -22,7 +22,7 @@
| | Filter: part.p_name LIKE Utf8("forest%") |
| | TableScan: part projection=[p_partkey, p_name] |
| | SubqueryAlias: __scalar_sq_1 |
| | Projection: lineitem.l_partkey, lineitem.l_suppkey, Float64(0.5) * CAST(SUM(lineitem.l_quantity) AS Float64) AS __value |
| | Projection: lineitem.l_partkey, lineitem.l_suppkey, Float64(0.5) * PROMOTE_PRECISION(CAST(SUM(lineitem.l_quantity) AS Float64)) AS __value |
| | Aggregate: groupBy=[[lineitem.l_partkey, lineitem.l_suppkey]], aggr=[[SUM(lineitem.l_quantity)]] |
| | Projection: lineitem.l_partkey, lineitem.l_suppkey, lineitem.l_quantity |
| | Filter: lineitem.l_shipdate >= Date32("8766") AND lineitem.l_shipdate < Date32("9131") |
Expand Down Expand Up @@ -71,7 +71,7 @@
| | CoalesceBatchesExec: target_batch_size=8192 |
| | FilterExec: p_name@1 LIKE forest% |
| | MemoryExec: partitions=0, partition_sizes=[] |
| | ProjectionExec: expr=[l_partkey@0 as l_partkey, l_suppkey@1 as l_suppkey, 0.5 * CAST(SUM(lineitem.l_quantity)@2 AS Float64) as __value] |
| | ProjectionExec: expr=[l_partkey@0 as l_partkey, l_suppkey@1 as l_suppkey, 0.5 * PROMOTE_PRECISION(CAST(SUM(lineitem.l_quantity)@2 AS Float64)) as __value] |
| | AggregateExec: mode=FinalPartitioned, gby=[l_partkey@0 as l_partkey, l_suppkey@1 as l_suppkey], aggr=[SUM(lineitem.l_quantity)] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: partitioning=Hash([Column { name: "l_partkey", index: 0 }, Column { name: "l_suppkey", index: 1 }], 2), input_partitions=2 |
Expand Down
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