hdh-spark-job - Details for Query 885

Submitted Time: 2026/10/22 20:29:41
Duration: 52 ms
Succeeded Jobs: 892

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: 11 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#226973 AS COL_29272194_C362_4B1A_871B_827530BCD34B#227989, CR_NUMDOS_437326#226976 AS COL_91CF17C4_5CDC_4008_8AD7_F1285B607EDB#227990, CR_NOMDIC_437327#226970 AS COL_426404CB_5141_4F89_A6D8_45BDAAD29767#227991, CR_NUMDEM_437328#226975 AS COL_D8FF4CB2_B7F6_4CE2_AEC7_ABE589BDBED1#227992, CR_NUMEXA_437329#226978 AS COL_E60F0325_9D51_4908_9ED8_6F9DD6D3CC07#227993, CR_TYPDOC_437330#227013 AS COL_B9580440_50FB_4495_B82E_8046068EB218#227994, CR_PRIOR_437331#226987 AS COL_4906EFC1_6283_4227_936D_FFA86F51D118#227995, CR_NOMDCR_437332#226969 AS COL_087DC335_6719_4B78_B354_10A3D546B347#227996, CR_TAIDCR_437333#227009 AS COL_BC8C700A_A442_4CE4_B18E_8E926223C43D#227997, CR_NOMDOS_437336#226971 AS COL_FA993954_05FA_428A_9A75_26EE63771B33#227998, CR_FOR_CR_437337#226947 AS COL_E6A34AED_4DA5_46FF_9366_A11147AB9841#227999]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [CR_FOR_CR_437337#226947,CR_NOMDCR_437332#226969,CR_NOMDIC_437327#226970,CR_NOMDOS_437336#226971,CR_NUMCR_437325#226973,CR_NUMDEM_437328#226975,CR_NUMDOS_437326#226976,CR_NUMEXA_437329#226978,CR_PRIOR_437331#226987,CR_TAIDCR_437333#227009,CR_TYPDOC_437330#227013] 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#226947, CR_NOMDCR_437332#226969, CR_NOMDIC_437327#226970, CR_NOMDOS_437336#226971, CR_NUMCR_437325#226973, CR_NUMDEM_437328#226975, CR_NUMDOS_437326#226976, CR_NUMEXA_437329#226978, CR_PRIOR_437331#226987, CR_TAIDCR_437333#227009, CR_TYPDOC_437330#227013]
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#226947, CR_NOMDCR_437332#226969, CR_NOMDIC_437327#226970, CR_NOMDOS_437336#226971, CR_NUMCR_437325#226973, CR_NUMDEM_437328#226975, CR_NUMDOS_437326#226976, CR_NUMEXA_437329#226978, CR_PRIOR_437331#226987, CR_TAIDCR_437333#227009, CR_TYPDOC_437330#227013]

(3) Project [codegen id : 1]
Output [11]: [CR_NUMCR_437325#226973 AS COL_29272194_C362_4B1A_871B_827530BCD34B#227989, CR_NUMDOS_437326#226976 AS COL_91CF17C4_5CDC_4008_8AD7_F1285B607EDB#227990, CR_NOMDIC_437327#226970 AS COL_426404CB_5141_4F89_A6D8_45BDAAD29767#227991, CR_NUMDEM_437328#226975 AS COL_D8FF4CB2_B7F6_4CE2_AEC7_ABE589BDBED1#227992, CR_NUMEXA_437329#226978 AS COL_E60F0325_9D51_4908_9ED8_6F9DD6D3CC07#227993, CR_TYPDOC_437330#227013 AS COL_B9580440_50FB_4495_B82E_8046068EB218#227994, CR_PRIOR_437331#226987 AS COL_4906EFC1_6283_4227_936D_FFA86F51D118#227995, CR_NOMDCR_437332#226969 AS COL_087DC335_6719_4B78_B354_10A3D546B347#227996, CR_TAIDCR_437333#227009 AS COL_BC8C700A_A442_4CE4_B18E_8E926223C43D#227997, CR_NOMDOS_437336#226971 AS COL_FA993954_05FA_428A_9A75_26EE63771B33#227998, CR_FOR_CR_437337#226947 AS COL_E6A34AED_4DA5_46FF_9366_A11147AB9841#227999]
Input [11]: [CR_FOR_CR_437337#226947, CR_NOMDCR_437332#226969, CR_NOMDIC_437327#226970, CR_NOMDOS_437336#226971, CR_NUMCR_437325#226973, CR_NUMDEM_437328#226975, CR_NUMDOS_437326#226976, CR_NUMEXA_437329#226978, CR_PRIOR_437331#226987, CR_TAIDCR_437333#227009, CR_TYPDOC_437330#227013]

(4) CollectLimit
Input [11]: [COL_29272194_C362_4B1A_871B_827530BCD34B#227989, COL_91CF17C4_5CDC_4008_8AD7_F1285B607EDB#227990, COL_426404CB_5141_4F89_A6D8_45BDAAD29767#227991, COL_D8FF4CB2_B7F6_4CE2_AEC7_ABE589BDBED1#227992, COL_E60F0325_9D51_4908_9ED8_6F9DD6D3CC07#227993, COL_B9580440_50FB_4495_B82E_8046068EB218#227994, COL_4906EFC1_6283_4227_936D_FFA86F51D118#227995, COL_087DC335_6719_4B78_B354_10A3D546B347#227996, COL_BC8C700A_A442_4CE4_B18E_8E926223C43D#227997, COL_FA993954_05FA_428A_9A75_26EE63771B33#227998, COL_E6A34AED_4DA5_46FF_9366_A11147AB9841#227999]
Arguments: 1500

SQL / DataFrame Properties

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