EVAL1_SPC1 - Details for Query 89

Submitted Time: 2026/02/19 13:48:15
Duration: 63 ms
Succeeded Jobs: 96

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

digraph G { 0 [labelType="html" label=" CollectLimit "]; subgraph cluster1 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 11 ms"; 2 [labelType="html" label=" Project "]; 3 [labelType="html" label="ColumnarToRow number of output rows: 717 number of input batches: 1"]; } 4 [labelType="html" label="Scan parquet number of files read: 1 scan time: 9 ms metadata time: 0 ms size of files read: 26.2 KiB number of output rows: 717"]; 2->0; 3->2; 4->3; }

CollectLimit 1500

Project [VISIT_ID_3343#8196 AS COL_EEA9697B_DB68_4A22_8733_70F35E85FA8C#8264, PATIENT_ID_3344#8194 AS COL_8859F9BF_E9D0_49C6_AD56_9C140D4C38A1#8265, IN_DATE_3345#8188 AS COL_AA4B3BC4_44A1_47D3_AC4B_C41D5CB3B3E9#8266, OUT_DATE_3346#8191 AS COL_F89F7AFE_9225_468C_A09B_7E0D4F0CD71B#8267, IN_MODE_3347#8189 AS COL_058F9F93_2D83_40ED_B3F6_4CAE6CD3C909#8268, OUT_MODE_3348#8192 AS COL_6514FE18_2F15_46F7_BE9B_8C8A1CDED5B0#8269, IN_UNIT_3349#8190 AS COL_0C85CE96_902F_49B0_8699_B1D8041E9741#8270, OUT_UNIT_3350#8193 AS COL_93D07A84_DAB1_4601_8776_58638D68C63B#8271, VISIT_TYPE_3351#8197 AS COL_69F7D2CB_3582_450F_B81C_F35E14BD2F3A#8272, CHAMP_PMSI_3352#8186 AS COL_8DD6299D_F88E_4923_BA4A_AA5963BBA243#8273, UNIT_PATH_3353#8195 AS COL_8F292832_9A81_4CB6_A3E8_AAF5E0E2B9D1#8274, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, EMERGENCY_3354#8187, 1, true, false, true) AS COL_119B8687_79BA_47AC_A253_99B3F514F94F#8275, CANCELED_3355#8185 AS COL_7A51C905_886C_4162_94AE_BCBA7820952A#8276]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [CANCELED_3355#8185,CHAMP_PMSI_3352#8186,EMERGENCY_3354#8187,IN_DATE_3345#8188,IN_MODE_3347#8189,IN_UNIT_3349#8190,OUT_DATE_3346#8191,OUT_MODE_3348#8192,OUT_UNIT_3350#8193,PATIENT_ID_3344#8194,UNIT_PATH_3353#8195,VISIT_ID_3343#8196,VISIT_TYPE_3351#8197] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/uet/VISIT_3342], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<CANCELED_3355:int,CHAMP_PMSI_3352:string,EMERGENCY_3354:string,IN_DATE_3345:timestamp,IN_M...

Details

== Physical Plan ==
CollectLimit (4)
+- * Project (3)
   +- * ColumnarToRow (2)
      +- Scan parquet  (1)


(1) Scan parquet 
Output [13]: [CANCELED_3355#8185, CHAMP_PMSI_3352#8186, EMERGENCY_3354#8187, IN_DATE_3345#8188, IN_MODE_3347#8189, IN_UNIT_3349#8190, OUT_DATE_3346#8191, OUT_MODE_3348#8192, OUT_UNIT_3350#8193, PATIENT_ID_3344#8194, UNIT_PATH_3353#8195, VISIT_ID_3343#8196, VISIT_TYPE_3351#8197]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/uet/VISIT_3342]
ReadSchema: struct<CANCELED_3355:int,CHAMP_PMSI_3352:string,EMERGENCY_3354:string,IN_DATE_3345:timestamp,IN_MODE_3347:string,IN_UNIT_3349:string,OUT_DATE_3346:timestamp,OUT_MODE_3348:string,OUT_UNIT_3350:string,PATIENT_ID_3344:string,UNIT_PATH_3353:string,VISIT_ID_3343:string,VISIT_TYPE_3351:string>

(2) ColumnarToRow [codegen id : 1]
Input [13]: [CANCELED_3355#8185, CHAMP_PMSI_3352#8186, EMERGENCY_3354#8187, IN_DATE_3345#8188, IN_MODE_3347#8189, IN_UNIT_3349#8190, OUT_DATE_3346#8191, OUT_MODE_3348#8192, OUT_UNIT_3350#8193, PATIENT_ID_3344#8194, UNIT_PATH_3353#8195, VISIT_ID_3343#8196, VISIT_TYPE_3351#8197]

(3) Project [codegen id : 1]
Output [13]: [VISIT_ID_3343#8196 AS COL_EEA9697B_DB68_4A22_8733_70F35E85FA8C#8264, PATIENT_ID_3344#8194 AS COL_8859F9BF_E9D0_49C6_AD56_9C140D4C38A1#8265, IN_DATE_3345#8188 AS COL_AA4B3BC4_44A1_47D3_AC4B_C41D5CB3B3E9#8266, OUT_DATE_3346#8191 AS COL_F89F7AFE_9225_468C_A09B_7E0D4F0CD71B#8267, IN_MODE_3347#8189 AS COL_058F9F93_2D83_40ED_B3F6_4CAE6CD3C909#8268, OUT_MODE_3348#8192 AS COL_6514FE18_2F15_46F7_BE9B_8C8A1CDED5B0#8269, IN_UNIT_3349#8190 AS COL_0C85CE96_902F_49B0_8699_B1D8041E9741#8270, OUT_UNIT_3350#8193 AS COL_93D07A84_DAB1_4601_8776_58638D68C63B#8271, VISIT_TYPE_3351#8197 AS COL_69F7D2CB_3582_450F_B81C_F35E14BD2F3A#8272, CHAMP_PMSI_3352#8186 AS COL_8DD6299D_F88E_4923_BA4A_AA5963BBA243#8273, UNIT_PATH_3353#8195 AS COL_8F292832_9A81_4CB6_A3E8_AAF5E0E2B9D1#8274, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, EMERGENCY_3354#8187, 1, true, false, true) AS COL_119B8687_79BA_47AC_A253_99B3F514F94F#8275, CANCELED_3355#8185 AS COL_7A51C905_886C_4162_94AE_BCBA7820952A#8276]
Input [13]: [CANCELED_3355#8185, CHAMP_PMSI_3352#8186, EMERGENCY_3354#8187, IN_DATE_3345#8188, IN_MODE_3347#8189, IN_UNIT_3349#8190, OUT_DATE_3346#8191, OUT_MODE_3348#8192, OUT_UNIT_3350#8193, PATIENT_ID_3344#8194, UNIT_PATH_3353#8195, VISIT_ID_3343#8196, VISIT_TYPE_3351#8197]

(4) CollectLimit
Input [13]: [COL_EEA9697B_DB68_4A22_8733_70F35E85FA8C#8264, COL_8859F9BF_E9D0_49C6_AD56_9C140D4C38A1#8265, COL_AA4B3BC4_44A1_47D3_AC4B_C41D5CB3B3E9#8266, COL_F89F7AFE_9225_468C_A09B_7E0D4F0CD71B#8267, COL_058F9F93_2D83_40ED_B3F6_4CAE6CD3C909#8268, COL_6514FE18_2F15_46F7_BE9B_8C8A1CDED5B0#8269, COL_0C85CE96_902F_49B0_8699_B1D8041E9741#8270, COL_93D07A84_DAB1_4601_8776_58638D68C63B#8271, COL_69F7D2CB_3582_450F_B81C_F35E14BD2F3A#8272, COL_8DD6299D_F88E_4923_BA4A_AA5963BBA243#8273, COL_8F292832_9A81_4CB6_A3E8_AAF5E0E2B9D1#8274, COL_119B8687_79BA_47AC_A253_99B3F514F94F#8275, COL_7A51C905_886C_4162_94AE_BCBA7820952A#8276]
Arguments: 1500

SQL / DataFrame Properties

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