hdh-spark-job - Details for Query 796

Submitted Time: 2026/10/22 15:39:58
Duration: 79 ms
Succeeded Jobs: 802

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: 0 ms"; 2 [labelType="html" label=" Project "]; 3 [labelType="html" label="ColumnarToRow number of output rows: 4,096 number of input batches: 1"]; } 4 [labelType="html" label="Scan parquet number of files read: 1 scan time: 12 ms metadata time: 0 ms size of files read: 4.5 MiB number of output rows: 4,096"]; 2->0; 3->2; 4->3; }

CollectLimit 1500

Project [CR_NUMCR_437325#184471 AS COL_29272194_C362_4B1A_871B_827530BCD34B#185485, CR_NUMDOS_437326#184474 AS COL_91CF17C4_5CDC_4008_8AD7_F1285B607EDB#185486, CR_NOMDIC_437327#184468 AS COL_426404CB_5141_4F89_A6D8_45BDAAD29767#185487, CR_NUMDEM_437328#184473 AS COL_D8FF4CB2_B7F6_4CE2_AEC7_ABE589BDBED1#185488, CR_NUMEXA_437329#184476 AS COL_E60F0325_9D51_4908_9ED8_6F9DD6D3CC07#185489, CR_TYPDOC_437330#184511 AS COL_B9580440_50FB_4495_B82E_8046068EB218#185490, CR_PRIOR_437331#184485 AS COL_4906EFC1_6283_4227_936D_FFA86F51D118#185491, CR_NOMDCR_437332#184467 AS COL_087DC335_6719_4B78_B354_10A3D546B347#185492, CR_TAIDCR_437333#184507 AS COL_BC8C700A_A442_4CE4_B18E_8E926223C43D#185493, CR_NOMDOS_437336#184469 AS COL_FA993954_05FA_428A_9A75_26EE63771B33#185494, CR_FOR_CR_437337#184445 AS COL_E6A34AED_4DA5_46FF_9366_A11147AB9841#185495]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [CR_FOR_CR_437337#184445,CR_NOMDCR_437332#184467,CR_NOMDIC_437327#184468,CR_NOMDOS_437336#184469,CR_NUMCR_437325#184471,CR_NUMDEM_437328#184473,CR_NUMDOS_437326#184474,CR_NUMEXA_437329#184476,CR_PRIOR_437331#184485,CR_TAIDCR_437333#184507,CR_TYPDOC_437330#184511] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/uet/H_CR_437324], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<CR_FOR_CR_437337:string,CR_NOMDCR_437332:string,CR_NOMDIC_437327:string,CR_NOMDOS_437336:s...

Details

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


(1) Scan parquet 
Output [11]: [CR_FOR_CR_437337#184445, CR_NOMDCR_437332#184467, CR_NOMDIC_437327#184468, CR_NOMDOS_437336#184469, CR_NUMCR_437325#184471, CR_NUMDEM_437328#184473, CR_NUMDOS_437326#184474, CR_NUMEXA_437329#184476, CR_PRIOR_437331#184485, CR_TAIDCR_437333#184507, CR_TYPDOC_437330#184511]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/uet/H_CR_437324]
ReadSchema: struct<CR_FOR_CR_437337:string,CR_NOMDCR_437332:string,CR_NOMDIC_437327:string,CR_NOMDOS_437336:string,CR_NUMCR_437325:string,CR_NUMDEM_437328:string,CR_NUMDOS_437326:string,CR_NUMEXA_437329:string,CR_PRIOR_437331:string,CR_TAIDCR_437333:string,CR_TYPDOC_437330:string>

(2) ColumnarToRow [codegen id : 1]
Input [11]: [CR_FOR_CR_437337#184445, CR_NOMDCR_437332#184467, CR_NOMDIC_437327#184468, CR_NOMDOS_437336#184469, CR_NUMCR_437325#184471, CR_NUMDEM_437328#184473, CR_NUMDOS_437326#184474, CR_NUMEXA_437329#184476, CR_PRIOR_437331#184485, CR_TAIDCR_437333#184507, CR_TYPDOC_437330#184511]

(3) Project [codegen id : 1]
Output [11]: [CR_NUMCR_437325#184471 AS COL_29272194_C362_4B1A_871B_827530BCD34B#185485, CR_NUMDOS_437326#184474 AS COL_91CF17C4_5CDC_4008_8AD7_F1285B607EDB#185486, CR_NOMDIC_437327#184468 AS COL_426404CB_5141_4F89_A6D8_45BDAAD29767#185487, CR_NUMDEM_437328#184473 AS COL_D8FF4CB2_B7F6_4CE2_AEC7_ABE589BDBED1#185488, CR_NUMEXA_437329#184476 AS COL_E60F0325_9D51_4908_9ED8_6F9DD6D3CC07#185489, CR_TYPDOC_437330#184511 AS COL_B9580440_50FB_4495_B82E_8046068EB218#185490, CR_PRIOR_437331#184485 AS COL_4906EFC1_6283_4227_936D_FFA86F51D118#185491, CR_NOMDCR_437332#184467 AS COL_087DC335_6719_4B78_B354_10A3D546B347#185492, CR_TAIDCR_437333#184507 AS COL_BC8C700A_A442_4CE4_B18E_8E926223C43D#185493, CR_NOMDOS_437336#184469 AS COL_FA993954_05FA_428A_9A75_26EE63771B33#185494, CR_FOR_CR_437337#184445 AS COL_E6A34AED_4DA5_46FF_9366_A11147AB9841#185495]
Input [11]: [CR_FOR_CR_437337#184445, CR_NOMDCR_437332#184467, CR_NOMDIC_437327#184468, CR_NOMDOS_437336#184469, CR_NUMCR_437325#184471, CR_NUMDEM_437328#184473, CR_NUMDOS_437326#184474, CR_NUMEXA_437329#184476, CR_PRIOR_437331#184485, CR_TAIDCR_437333#184507, CR_TYPDOC_437330#184511]

(4) CollectLimit
Input [11]: [COL_29272194_C362_4B1A_871B_827530BCD34B#185485, COL_91CF17C4_5CDC_4008_8AD7_F1285B607EDB#185486, COL_426404CB_5141_4F89_A6D8_45BDAAD29767#185487, COL_D8FF4CB2_B7F6_4CE2_AEC7_ABE589BDBED1#185488, COL_E60F0325_9D51_4908_9ED8_6F9DD6D3CC07#185489, COL_B9580440_50FB_4495_B82E_8046068EB218#185490, COL_4906EFC1_6283_4227_936D_FFA86F51D118#185491, COL_087DC335_6719_4B78_B354_10A3D546B347#185492, COL_BC8C700A_A442_4CE4_B18E_8E926223C43D#185493, COL_FA993954_05FA_428A_9A75_26EE63771B33#185494, COL_E6A34AED_4DA5_46FF_9366_A11147AB9841#185495]
Arguments: 1500

SQL / DataFrame Properties

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