EVAL1_SPC1 - Details for Query 732

Submitted Time: 2026/02/20 13:40:58
Duration: 1 s
Succeeded Jobs: 901 902

Show the Stage ID and Task ID that corresponds to the max metric

digraph G { 0 [labelType="html" label=" AdaptiveSparkPlan "]; subgraph cluster1 { isCluster="true"; label="WholeStageCodegen (2)\n \nduration: 3 ms"; 2 [labelType="html" label="Filter number of output rows: 29"]; 3 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 1 ms peak memory: 64.2 MiB number of output rows: 476 number of sort fallback tasks: 0 avg hash probes per key: 1"]; } 4 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 5.7 KiB number of coalesced partitions: 1"]; 5 [labelType="html" label="Exchange shuffle records written: 476 local merged chunks fetched: 0 shuffle write time: 1 ms remote merged bytes read: 0.0 B local merged blocks fetched: 0 corrupt merged block chunks: 0 remote merged reqs duration: 0 ms remote merged blocks fetched: 0 records read: 476 local bytes read: 5.4 KiB fetch wait time: 0 ms remote bytes read: 0.0 B merged fetch fallback count: 0 local blocks read: 1 remote merged chunks fetched: 0 remote blocks read: 0 data size: 18.6 KiB local merged bytes read: 0.0 B number of partitions: 10 remote reqs duration: 0 ms remote bytes read to disk: 0.0 B shuffle bytes written: 5.4 KiB"]; subgraph cluster6 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 112 ms"; 7 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 99 ms peak memory: 256.0 KiB number of output rows: 476 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 8 [labelType="html" label=" Project "]; 9 [labelType="html" label="Filter number of output rows: 509"]; 10 [labelType="html" label="Scan JDBCRelation((SELECT RAWTOHEX(VISIT_ID), RAWTOHEX(PATIENT_ID), \"IN_DATE\", \"OUT_DATE\", \"IN_MODE\", \"OUT_MODE\", \"IN_UNIT\", \"OUT_UNIT\", \"VISIT_TYPE\", \"CHAMP_PMSI\", \"UNIT_PATH\", \"EMERGENCY\", \"CANCELED\" FROM \"DTM_622\".\"VISIT\") x) [numPartitions=1] number of output rows: 717"]; } 2->0; 3->2; 4->3; 5->4; 7->5; 8->7; 9->8; 10->9; }

AdaptiveSparkPlan isFinalPlan=true

Filter (COL_271E49E1_A230_499E_8192_978ECEDAE3B0#110946L >= 2)

HashAggregate(keys=[COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888], functions=[count(1)])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, 10), ENSURE_REQUIREMENTS, [plan_id=17541]

HashAggregate(keys=[COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888], functions=[partial_count(1)])

Project [str_join(array(IN_UNIT#110542, OUT_UNIT#110543), >) AS COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888]

Filter NOT (str_extract_by_str(str_join(array(IN_UNIT#110542, OUT_UNIT#110543), >), >, LEFT) <=> str_extract_by_str(str_join(array(IN_UNIT#110542, OUT_UNIT#110543), >), >, RIGHT))

Scan JDBCRelation((SELECT RAWTOHEX(VISIT_ID), RAWTOHEX(PATIENT_ID), "IN_DATE", "OUT_DATE", "IN_MODE", "OUT_MODE", "IN_UNIT", "OUT_UNIT", "VISIT_TYPE", "CHAMP_PMSI", "UNIT_PATH", "EMERGENCY", "CANCELED" FROM "DTM_622"."VISIT") x) [numPartitions=1] [IN_UNIT#110542,OUT_UNIT#110543] PushedFilters: [], ReadSchema: struct<IN_UNIT:string,OUT_UNIT:string>

WholeStageCodegen (1)

Details

== Physical Plan ==
AdaptiveSparkPlan (14)
+- == Final Plan ==
   * Filter (9)
   +- * HashAggregate (8)
      +- AQEShuffleRead (7)
         +- ShuffleQueryStage (6), Statistics(sizeInBytes=18.6 KiB, rowCount=476)
            +- Exchange (5)
               +- * HashAggregate (4)
                  +- * Project (3)
                     +- * Filter (2)
                        +- * Scan JDBCRelation((SELECT RAWTOHEX(VISIT_ID), RAWTOHEX(PATIENT_ID), "IN_DATE", "OUT_DATE", "IN_MODE", "OUT_MODE", "IN_UNIT", "OUT_UNIT", "VISIT_TYPE", "CHAMP_PMSI", "UNIT_PATH", "EMERGENCY", "CANCELED" FROM "DTM_622"."VISIT") x) [numPartitions=1]  (1)
+- == Initial Plan ==
   CollectLimit (13)
   +- Filter (12)
      +- HashAggregate (11)
         +- Exchange (10)
            +- HashAggregate (4)
               +- Project (3)
                  +- Filter (2)
                     +- Scan JDBCRelation((SELECT RAWTOHEX(VISIT_ID), RAWTOHEX(PATIENT_ID), "IN_DATE", "OUT_DATE", "IN_MODE", "OUT_MODE", "IN_UNIT", "OUT_UNIT", "VISIT_TYPE", "CHAMP_PMSI", "UNIT_PATH", "EMERGENCY", "CANCELED" FROM "DTM_622"."VISIT") x) [numPartitions=1]  (1)


(1) Scan JDBCRelation((SELECT RAWTOHEX(VISIT_ID), RAWTOHEX(PATIENT_ID), "IN_DATE", "OUT_DATE", "IN_MODE", "OUT_MODE", "IN_UNIT", "OUT_UNIT", "VISIT_TYPE", "CHAMP_PMSI", "UNIT_PATH", "EMERGENCY", "CANCELED" FROM "DTM_622"."VISIT") x) [numPartitions=1]  [codegen id : 1]
Output [2]: [IN_UNIT#110542, OUT_UNIT#110543]
ReadSchema: struct<IN_UNIT:string,OUT_UNIT:string>

(2) Filter [codegen id : 1]
Input [2]: [IN_UNIT#110542, OUT_UNIT#110543]
Condition : NOT (str_extract_by_str(str_join(array(IN_UNIT#110542, OUT_UNIT#110543), >), >, LEFT) <=> str_extract_by_str(str_join(array(IN_UNIT#110542, OUT_UNIT#110543), >), >, RIGHT))

(3) Project [codegen id : 1]
Output [1]: [str_join(array(IN_UNIT#110542, OUT_UNIT#110543), >) AS COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888]
Input [2]: [IN_UNIT#110542, OUT_UNIT#110543]

(4) HashAggregate [codegen id : 1]
Input [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888]
Keys [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#111007L]
Results [2]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, count#111008L]

(5) Exchange
Input [2]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, count#111008L]
Arguments: hashpartitioning(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, 10), ENSURE_REQUIREMENTS, [plan_id=17541]

(6) ShuffleQueryStage
Output [2]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, count#111008L]
Arguments: 0

(7) AQEShuffleRead
Input [2]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, count#111008L]
Arguments: coalesced

(8) HashAggregate [codegen id : 2]
Input [2]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, count#111008L]
Keys [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#110932L]
Results [6]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888 AS COL_5ED88E4F_DF86_440D_9CC6_0C93B876ABF9#110945, count(1)#110932L AS COL_271E49E1_A230_499E_8192_978ECEDAE3B0#110946L, str_join(array(E, str_extract_by_str(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, >, LEFT)), -) AS COL_58CFE2E8_1D65_4D01_9EF3_F725F7BA87ED#110949, str_join(array(S, str_extract_by_str(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, >, RIGHT)), -) AS COL_E7F5DF76_76CE_4B86_B00C_668C338F8FFF#110953, str_extract_by_str(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, >, LEFT) AS COL_A67D3744_1C8E_4621_8489_9EA38D696691#110958, str_extract_by_str(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, >, RIGHT) AS COL_55823422_AF79_46F7_807C_92C35F353A73#110964]

(9) Filter [codegen id : 2]
Input [6]: [COL_5ED88E4F_DF86_440D_9CC6_0C93B876ABF9#110945, COL_271E49E1_A230_499E_8192_978ECEDAE3B0#110946L, COL_58CFE2E8_1D65_4D01_9EF3_F725F7BA87ED#110949, COL_E7F5DF76_76CE_4B86_B00C_668C338F8FFF#110953, COL_A67D3744_1C8E_4621_8489_9EA38D696691#110958, COL_55823422_AF79_46F7_807C_92C35F353A73#110964]
Condition : (COL_271E49E1_A230_499E_8192_978ECEDAE3B0#110946L >= 2)

(10) Exchange
Input [2]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, count#111008L]
Arguments: hashpartitioning(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, 10), ENSURE_REQUIREMENTS, [plan_id=17527]

(11) HashAggregate
Input [2]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, count#111008L]
Keys [1]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#110932L]
Results [6]: [COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888 AS COL_5ED88E4F_DF86_440D_9CC6_0C93B876ABF9#110945, count(1)#110932L AS COL_271E49E1_A230_499E_8192_978ECEDAE3B0#110946L, str_join(array(E, str_extract_by_str(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, >, LEFT)), -) AS COL_58CFE2E8_1D65_4D01_9EF3_F725F7BA87ED#110949, str_join(array(S, str_extract_by_str(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, >, RIGHT)), -) AS COL_E7F5DF76_76CE_4B86_B00C_668C338F8FFF#110953, str_extract_by_str(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, >, LEFT) AS COL_A67D3744_1C8E_4621_8489_9EA38D696691#110958, str_extract_by_str(COL_EB0E2C34_212C_41D4_8CFF_862A35B3D6B5#110888, >, RIGHT) AS COL_55823422_AF79_46F7_807C_92C35F353A73#110964]

(12) Filter
Input [6]: [COL_5ED88E4F_DF86_440D_9CC6_0C93B876ABF9#110945, COL_271E49E1_A230_499E_8192_978ECEDAE3B0#110946L, COL_58CFE2E8_1D65_4D01_9EF3_F725F7BA87ED#110949, COL_E7F5DF76_76CE_4B86_B00C_668C338F8FFF#110953, COL_A67D3744_1C8E_4621_8489_9EA38D696691#110958, COL_55823422_AF79_46F7_807C_92C35F353A73#110964]
Condition : (COL_271E49E1_A230_499E_8192_978ECEDAE3B0#110946L >= 2)

(13) CollectLimit
Input [6]: [COL_5ED88E4F_DF86_440D_9CC6_0C93B876ABF9#110945, COL_271E49E1_A230_499E_8192_978ECEDAE3B0#110946L, COL_58CFE2E8_1D65_4D01_9EF3_F725F7BA87ED#110949, COL_E7F5DF76_76CE_4B86_B00C_668C338F8FFF#110953, COL_A67D3744_1C8E_4621_8489_9EA38D696691#110958, COL_55823422_AF79_46F7_807C_92C35F353A73#110964]
Arguments: 50000

(14) AdaptiveSparkPlan
Output [6]: [COL_5ED88E4F_DF86_440D_9CC6_0C93B876ABF9#110945, COL_271E49E1_A230_499E_8192_978ECEDAE3B0#110946L, COL_58CFE2E8_1D65_4D01_9EF3_F725F7BA87ED#110949, COL_E7F5DF76_76CE_4B86_B00C_668C338F8FFF#110953, COL_A67D3744_1C8E_4621_8489_9EA38D696691#110958, COL_55823422_AF79_46F7_807C_92C35F353A73#110964]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

Name	Value
spark.sql.optimizer.nestedPredicatePushdown.supportedFileSources	parquet,orc,geoparquet