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Revert "[SPARK-33861][SQL] Simplify conditional in predicate" #37729

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Original file line number Diff line number Diff line change
Expand Up @@ -118,7 +118,6 @@ abstract class Optimizer(catalogManager: CatalogManager)
RemoveDispensableExpressions,
SimplifyBinaryComparison,
ReplaceNullWithFalseInPredicate,
SimplifyConditionalsInPredicate,
PruneFilters,
SimplifyCasts,
SimplifyCaseConversionExpressions,
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Expand Up @@ -156,7 +156,6 @@ object RuleIdCollection {
"org.apache.spark.sql.catalyst.optimizer.SimplifyCaseConversionExpressions" ::
"org.apache.spark.sql.catalyst.optimizer.SimplifyCasts" ::
"org.apache.spark.sql.catalyst.optimizer.SimplifyConditionals" ::
"org.apache.spark.sql.catalyst.optimizer.SimplifyConditionalsInPredicate" ::
"org.apache.spark.sql.catalyst.optimizer.SimplifyExtractValueOps" ::
"org.apache.spark.sql.catalyst.optimizer.TransposeWindow" ::
"org.apache.spark.sql.catalyst.optimizer.UnwrapCastInBinaryComparison" :: Nil
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Expand Up @@ -100,15 +100,15 @@ Input [5]: [ss_customer_sk#1, ss_hdemo_sk#2, ss_store_sk#3, ss_ticket_number#4,
Output [4]: [hd_demo_sk#10, hd_buy_potential#11, hd_dep_count#12, hd_vehicle_count#13]
Batched: true
Location [not included in comparison]/{warehouse_dir}/household_demographics]
PushedFilters: [IsNotNull(hd_vehicle_count), IsNotNull(hd_dep_count), Or(EqualTo(hd_buy_potential,>10000 ),EqualTo(hd_buy_potential,Unknown )), GreaterThan(hd_vehicle_count,0), IsNotNull(hd_demo_sk)]
PushedFilters: [IsNotNull(hd_vehicle_count), Or(EqualTo(hd_buy_potential,>10000 ),EqualTo(hd_buy_potential,Unknown )), GreaterThan(hd_vehicle_count,0), IsNotNull(hd_demo_sk)]
ReadSchema: struct<hd_demo_sk:int,hd_buy_potential:string,hd_dep_count:int,hd_vehicle_count:int>

(15) ColumnarToRow [codegen id : 3]
Input [4]: [hd_demo_sk#10, hd_buy_potential#11, hd_dep_count#12, hd_vehicle_count#13]

(16) Filter [codegen id : 3]
Input [4]: [hd_demo_sk#10, hd_buy_potential#11, hd_dep_count#12, hd_vehicle_count#13]
Condition : (((((isnotnull(hd_vehicle_count#13) AND isnotnull(hd_dep_count#12)) AND ((hd_buy_potential#11 = >10000 ) OR (hd_buy_potential#11 = Unknown ))) AND (hd_vehicle_count#13 > 0)) AND ((cast(hd_dep_count#12 as double) / cast(hd_vehicle_count#13 as double)) > 1.2)) AND isnotnull(hd_demo_sk#10))
Condition : ((((isnotnull(hd_vehicle_count#13) AND ((hd_buy_potential#11 = >10000 ) OR (hd_buy_potential#11 = Unknown ))) AND (hd_vehicle_count#13 > 0)) AND CASE WHEN (hd_vehicle_count#13 > 0) THEN ((cast(hd_dep_count#12 as double) / cast(hd_vehicle_count#13 as double)) > 1.2) END) AND isnotnull(hd_demo_sk#10))

(17) Project [codegen id : 3]
Output [1]: [hd_demo_sk#10]
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Expand Up @@ -49,7 +49,7 @@ WholeStageCodegen (10)
BroadcastExchange #6
WholeStageCodegen (3)
Project [hd_demo_sk]
Filter [hd_vehicle_count,hd_dep_count,hd_buy_potential,hd_demo_sk]
Filter [hd_vehicle_count,hd_buy_potential,hd_dep_count,hd_demo_sk]
ColumnarToRow
InputAdapter
Scan parquet spark_catalog.default.household_demographics [hd_demo_sk,hd_buy_potential,hd_dep_count,hd_vehicle_count]
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