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[AURON #1658] Add tpch suite #1662

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56f52b5
add tpch suite
yew1eb Nov 19, 2025
7f74e23
Merge branch 'master' into add_tpch_suite
yew1eb Dec 15, 2025
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5 changes: 5 additions & 0 deletions .rat-excludes
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Expand Up @@ -32,4 +32,9 @@
NOTICE*
docs/**
build/apache-maven-*/**
**/tpch-data-parquet/**
**/tpch-plan-stability/**
**/tpch-queries/**
**/tpch-query-results/**

src/main/resources/auron-build-info.properties
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151 changes: 151 additions & 0 deletions spark-extension-shims-spark/src/test/resources/tpch-plan-stability/q1.txt
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== Physical Plan ==
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@cxzl25 cxzl25 Dec 15, 2025

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Is there any way to update query plan and query result in batches?

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@yew1eb yew1eb Dec 15, 2025

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I've added a switch: set REGEN_TPCH_GOLDEN_FILES to 1 to regenerate query plans and results.

AdaptiveSparkPlan (26)
+- == Final Plan ==
NativeSort (17)
+- InputAdapter (16)
+- AQEShuffleRead (15)
+- ShuffleQueryStage (14), Statistics(sizeInBytes=2.6 KiB, rowCount=4)
+- NativeShuffleExchange (13)
+- NativeProject (12)
+- NativeHashAggregate (11)
+- InputAdapter (10)
+- AQEShuffleRead (9)
+- ShuffleQueryStage (8), Statistics(sizeInBytes=1736.0 B, rowCount=4)
+- NativeShuffleExchange (7)
+- NativeHashAggregate (6)
+- NativeProject (5)
+- NativeProject (4)
+- NativeFilter (3)
+- InputAdapter (2)
+- NativeParquetScan (1)
+- == Initial Plan ==
Sort (25)
+- Exchange (24)
+- HashAggregate (23)
+- Exchange (22)
+- HashAggregate (21)
+- Project (20)
+- Filter (19)
+- Scan parquet (18)


(18) Scan parquet
Output [7]: [l_quantity#1, l_extendedprice#2, l_discount#3, l_tax#4, l_returnflag#5, l_linestatus#6, l_shipdate#7]
Batched: true
Location: InMemoryFileIndex [file:/<warehouse_dir>]
PushedFilters: [IsNotNull(l_shipdate), LessThanOrEqual(l_shipdate,1998-09-02)]
ReadSchema: struct<l_quantity:decimal(12,2),l_extendedprice:decimal(12,2),l_discount:decimal(12,2),l_tax:decimal(12,2),l_returnflag:string,l_linestatus:string,l_shipdate:date>

(2) InputAdapter
Input [7]: [l_quantity#1, l_extendedprice#2, l_discount#3, l_tax#4, l_returnflag#5, l_linestatus#6, l_shipdate#7]
Arguments: [#1, #2, #3, #4, #5, #6, #7]

(3) NativeFilter
Input [7]: [#1#1, #2#2, #3#3, #4#4, #5#5, #6#6, #7#7]
Condition : (isnotnull(l_shipdate#7) AND (l_shipdate#7 <= 1998-09-02))

(4) NativeProject
Output [6]: [l_quantity#1, l_extendedprice#2, l_discount#3, l_tax#4, l_returnflag#5, l_linestatus#6]
Input [7]: [#1#1, #2#2, #3#3, #4#4, #5#5, #6#6, #7#7]

(5) NativeProject
Output [7]: [l_returnflag#5 AS l_returnflag#5, l_linestatus#6 AS l_linestatus#6, l_quantity#1 AS _c2#8, l_extendedprice#2 AS _c3#9, (l_extendedprice#2 * (1 - l_discount#3)) AS _c4#10, ((l_extendedprice#2 * (1 - l_discount#3)) * (1 + l_tax#4)) AS _c5#11, l_discount#3 AS _c6#12]
Input [6]: [l_quantity#1, l_extendedprice#2, l_discount#3, l_tax#4, l_returnflag#5, l_linestatus#6]

(6) NativeHashAggregate
Input [7]: [l_returnflag#5, l_linestatus#6, _c2#8, _c3#9, _c4#10, _c5#11, _c6#12]
Keys [2]: [l_returnflag#5, l_linestatus#6]
Functions [8]: [partial_sum(_c2#8), partial_sum(_c3#9), partial_sum(_c4#10), partial_sum(_c5#11), partial_avg(_c2#8), partial_avg(_c3#9), partial_avg(_c6#12), partial_count(1)]
Aggregate Attributes [15]: [sum#13, isEmpty#14, sum#15, isEmpty#16, sum#17, isEmpty#18, sum#19, isEmpty#20, sum#21, count#22, sum#23, count#24, sum#25, count#26, count#27]
Results [3]: [l_returnflag#5, l_linestatus#6, #28#28]

(7) NativeShuffleExchange
Input [3]: [l_returnflag#5, l_linestatus#6, #28#28]
Arguments: hashpartitioning(l_returnflag#5, l_linestatus#6, 5), ENSURE_REQUIREMENTS, [plan_id=1]

(8) ShuffleQueryStage
Output [3]: [l_returnflag#5, l_linestatus#6, #28#28]
Arguments: X

(9) AQEShuffleRead
Input [3]: [l_returnflag#5, l_linestatus#6, #28#28]
Arguments: coalesced

(10) InputAdapter
Input [3]: [l_returnflag#5, l_linestatus#6, #28#28]

(11) NativeHashAggregate
Input [3]: [l_returnflag#5, l_linestatus#6, #28#28]
Keys [2]: [l_returnflag#5, l_linestatus#6]
Functions [8]: [sum(l_quantity#1), sum(l_extendedprice#2), sum((l_extendedprice#2 * (1 - l_discount#3))), sum(((l_extendedprice#2 * (1 - l_discount#3)) * (1 + l_tax#4))), avg(l_quantity#1), avg(l_extendedprice#2), avg(l_discount#3), count(1)]
Aggregate Attributes [8]: [sum(l_quantity#1)#29, sum(l_extendedprice#2)#30, sum((l_extendedprice#2 * (1 - l_discount#3)))#31, sum(((l_extendedprice#2 * (1 - l_discount#3)) * (1 + l_tax#4)))#32, avg(l_quantity#1)#33, avg(l_extendedprice#2)#34, avg(l_discount#3)#35, count(1)#36]
Results [10]: [l_returnflag#5, l_linestatus#6, sum(l_quantity#1)#29, sum(l_extendedprice#2)#30, sum((l_extendedprice#2 * (1 - l_discount#3)))#31, sum(((l_extendedprice#2 * (1 - l_discount#3)) * (1 + l_tax#4)))#32, avg(l_quantity#1)#33, avg(l_extendedprice#2)#34, avg(l_discount#3)#35, count(1)#36]

(12) NativeProject
Output [10]: [l_returnflag#5, l_linestatus#6, sum(l_quantity#1)#29 AS sum_qty#37, sum(l_extendedprice#2)#30 AS sum_base_price#38, sum((l_extendedprice#2 * (1 - l_discount#3)))#31 AS sum_disc_price#39, sum(((l_extendedprice#2 * (1 - l_discount#3)) * (1 + l_tax#4)))#32 AS sum_charge#40, avg(l_quantity#1)#33 AS avg_qty#41, avg(l_extendedprice#2)#34 AS avg_price#42, avg(l_discount#3)#35 AS avg_disc#43, count(1)#36 AS count_order#44]
Input [10]: [l_returnflag#5, l_linestatus#6, sum(l_quantity#1)#29, sum(l_extendedprice#2)#30, sum((l_extendedprice#2 * (1 - l_discount#3)))#31, sum(((l_extendedprice#2 * (1 - l_discount#3)) * (1 + l_tax#4)))#32, avg(l_quantity#1)#33, avg(l_extendedprice#2)#34, avg(l_discount#3)#35, count(1)#36]

(13) NativeShuffleExchange
Input [10]: [l_returnflag#5, l_linestatus#6, sum_qty#37, sum_base_price#38, sum_disc_price#39, sum_charge#40, avg_qty#41, avg_price#42, avg_disc#43, count_order#44]
Arguments: rangepartitioning(l_returnflag#5 ASC NULLS FIRST, l_linestatus#6 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, [plan_id=2]

(14) ShuffleQueryStage
Output [10]: [l_returnflag#5, l_linestatus#6, sum_qty#37, sum_base_price#38, sum_disc_price#39, sum_charge#40, avg_qty#41, avg_price#42, avg_disc#43, count_order#44]
Arguments: X

(15) AQEShuffleRead
Input [10]: [l_returnflag#5, l_linestatus#6, sum_qty#37, sum_base_price#38, sum_disc_price#39, sum_charge#40, avg_qty#41, avg_price#42, avg_disc#43, count_order#44]
Arguments: coalesced

(16) InputAdapter
Input [10]: [l_returnflag#5, l_linestatus#6, sum_qty#37, sum_base_price#38, sum_disc_price#39, sum_charge#40, avg_qty#41, avg_price#42, avg_disc#43, count_order#44]

(17) NativeSort
Input [10]: [l_returnflag#5, l_linestatus#6, sum_qty#37, sum_base_price#38, sum_disc_price#39, sum_charge#40, avg_qty#41, avg_price#42, avg_disc#43, count_order#44]
Arguments: [l_returnflag#5 ASC NULLS FIRST, l_linestatus#6 ASC NULLS FIRST], true

(18) Scan parquet
Output [7]: [l_quantity#1, l_extendedprice#2, l_discount#3, l_tax#4, l_returnflag#5, l_linestatus#6, l_shipdate#7]
Batched: true
Location: InMemoryFileIndex [file:/<warehouse_dir>]
PushedFilters: [IsNotNull(l_shipdate), LessThanOrEqual(l_shipdate,1998-09-02)]
ReadSchema: struct<l_quantity:decimal(12,2),l_extendedprice:decimal(12,2),l_discount:decimal(12,2),l_tax:decimal(12,2),l_returnflag:string,l_linestatus:string,l_shipdate:date>

(19) Filter
Input [7]: [l_quantity#1, l_extendedprice#2, l_discount#3, l_tax#4, l_returnflag#5, l_linestatus#6, l_shipdate#7]
Condition : (isnotnull(l_shipdate#7) AND (l_shipdate#7 <= 1998-09-02))

(20) Project
Output [6]: [l_quantity#1, l_extendedprice#2, l_discount#3, l_tax#4, l_returnflag#5, l_linestatus#6]
Input [7]: [l_quantity#1, l_extendedprice#2, l_discount#3, l_tax#4, l_returnflag#5, l_linestatus#6, l_shipdate#7]

(21) HashAggregate
Input [6]: [l_quantity#1, l_extendedprice#2, l_discount#3, l_tax#4, l_returnflag#5, l_linestatus#6]
Keys [2]: [l_returnflag#5, l_linestatus#6]
Functions [8]: [partial_sum(l_quantity#1), partial_sum(l_extendedprice#2), partial_sum((l_extendedprice#2 * (1 - l_discount#3))), partial_sum(((l_extendedprice#2 * (1 - l_discount#3)) * (1 + l_tax#4))), partial_avg(l_quantity#1), partial_avg(l_extendedprice#2), partial_avg(l_discount#3), partial_count(1)]
Aggregate Attributes [15]: [sum#13, isEmpty#14, sum#15, isEmpty#16, sum#17, isEmpty#18, sum#19, isEmpty#20, sum#21, count#22, sum#23, count#24, sum#25, count#26, count#27]
Results [17]: [l_returnflag#5, l_linestatus#6, sum#45, isEmpty#46, sum#47, isEmpty#48, sum#49, isEmpty#50, sum#51, isEmpty#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, count#59]

(22) Exchange
Input [17]: [l_returnflag#5, l_linestatus#6, sum#45, isEmpty#46, sum#47, isEmpty#48, sum#49, isEmpty#50, sum#51, isEmpty#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, count#59]
Arguments: hashpartitioning(l_returnflag#5, l_linestatus#6, 5), ENSURE_REQUIREMENTS, [plan_id=3]

(23) HashAggregate
Input [17]: [l_returnflag#5, l_linestatus#6, sum#45, isEmpty#46, sum#47, isEmpty#48, sum#49, isEmpty#50, sum#51, isEmpty#52, sum#53, count#54, sum#55, count#56, sum#57, count#58, count#59]
Keys [2]: [l_returnflag#5, l_linestatus#6]
Functions [8]: [sum(l_quantity#1), sum(l_extendedprice#2), sum((l_extendedprice#2 * (1 - l_discount#3))), sum(((l_extendedprice#2 * (1 - l_discount#3)) * (1 + l_tax#4))), avg(l_quantity#1), avg(l_extendedprice#2), avg(l_discount#3), count(1)]
Aggregate Attributes [8]: [sum(l_quantity#1)#29, sum(l_extendedprice#2)#30, sum((l_extendedprice#2 * (1 - l_discount#3)))#31, sum(((l_extendedprice#2 * (1 - l_discount#3)) * (1 + l_tax#4)))#32, avg(l_quantity#1)#33, avg(l_extendedprice#2)#34, avg(l_discount#3)#35, count(1)#36]
Results [10]: [l_returnflag#5, l_linestatus#6, sum(l_quantity#1)#29 AS sum_qty#37, sum(l_extendedprice#2)#30 AS sum_base_price#38, sum((l_extendedprice#2 * (1 - l_discount#3)))#31 AS sum_disc_price#39, sum(((l_extendedprice#2 * (1 - l_discount#3)) * (1 + l_tax#4)))#32 AS sum_charge#40, avg(l_quantity#1)#33 AS avg_qty#41, avg(l_extendedprice#2)#34 AS avg_price#42, avg(l_discount#3)#35 AS avg_disc#43, count(1)#36 AS count_order#44]

(24) Exchange
Input [10]: [l_returnflag#5, l_linestatus#6, sum_qty#37, sum_base_price#38, sum_disc_price#39, sum_charge#40, avg_qty#41, avg_price#42, avg_disc#43, count_order#44]
Arguments: rangepartitioning(l_returnflag#5 ASC NULLS FIRST, l_linestatus#6 ASC NULLS FIRST, 5), ENSURE_REQUIREMENTS, [plan_id=4]

(25) Sort
Input [10]: [l_returnflag#5, l_linestatus#6, sum_qty#37, sum_base_price#38, sum_disc_price#39, sum_charge#40, avg_qty#41, avg_price#42, avg_disc#43, count_order#44]
Arguments: [l_returnflag#5 ASC NULLS FIRST, l_linestatus#6 ASC NULLS FIRST], true, 0

(26) AdaptiveSparkPlan
Output [10]: [l_returnflag#5, l_linestatus#6, sum_qty#37, sum_base_price#38, sum_disc_price#39, sum_charge#40, avg_qty#41, avg_price#42, avg_disc#43, count_order#44]
Arguments: isFinalPlan=true

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