SP1 - Details for Query 108

Submitted Time: 2026/04/20 16:07:06
Duration: 0.5 s
Succeeded Jobs: 95 96

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

digraph G { 0 [labelType="html" label=" AdaptiveSparkPlan "]; 1 [labelType="html" label="Execute InsertIntoHadoopFsRelationCommand task commit time: 1 ms number of written files: 1 job commit time: 9 ms number of output rows: 5,068 number of dynamic part: 0 written output: 177.9 KiB"]; 2 [labelType="html" label=" WriteFiles "]; 3 [labelType="html" label="Exchange shuffle records written: 5,068 local merged chunks fetched: 0 shuffle write time: 2 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: 5,068 local bytes read: 466.5 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: 2028.6 KiB local merged bytes read: 0.0 B number of partitions: 1 remote reqs duration: 0 ms remote bytes read to disk: 0.0 B shuffle bytes written: 466.5 KiB"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 138 ms"; 5 [labelType="html" label="Scan ExistingRDD number of output rows: 5,068"]; } 1->0; 2->1; 3->2; 5->3; }

AdaptiveSparkPlan isFinalPlan=true

Execute InsertIntoHadoopFsRelationCommand file:/data/output/export/parquet/537eafac-95b6-4cf1-9df2-9610ab83f684, false, Parquet, [path=file:///data/output/export/parquet/537eafac-95b6-4cf1-9df2-9610ab83f684], ErrorIfExists, [Produit_ID, Quantite, Code_promo, Prix_unitaire_facture, Montant_facture, Client_ID, Date, Annee_mois, Transaction_ID, Region-[Norm], Currency-[Norm], Date-[Norm], Campagne_ID, Jour-Semaine, Freebe, Premium, Categorie_Products_ref, Type_Products_ref, Prix_unitaire, Prix_revient, Client_premium, Client_region, GBP, USD, ... 9 more fields]

WriteFiles

Exchange SinglePartition, REPARTITION_BY_NUM, [plan_id=4496]

Scan ExistingRDD[Produit_ID#16955,Quantite#16956,Code_promo#16957,Prix_unitaire_facture#16958,Montant_facture#16959,Client_ID#16960,Date#16961,Annee_mois#16962,Transaction_ID#16963,Region-[Norm]#16964,Currency-[Norm]#16965,Date-[Norm]#16966,Campagne_ID#16967,Jour-Semaine#16968,Freebe#16969,Premium#16970,Categorie_Products_ref#16971,Type_Products_ref#16972,Prix_unitaire#16973,Prix_revient#16974,Client_premium#16975,Client_region#16976,GBP#16977,USD#16978,... 9 more fields]

WholeStageCodegen (1)

Details

== Physical Plan ==
AdaptiveSparkPlan (9)
+- == Final Plan ==
   Execute InsertIntoHadoopFsRelationCommand (5)
   +- WriteFiles (4)
      +- ShuffleQueryStage (3), Statistics(sizeInBytes=2028.6 KiB, rowCount=5.07E+3)
         +- Exchange (2)
            +- * Scan ExistingRDD (1)
+- == Initial Plan ==
   Execute InsertIntoHadoopFsRelationCommand (8)
   +- WriteFiles (7)
      +- Exchange (6)
         +- Scan ExistingRDD (1)


(1) Scan ExistingRDD [codegen id : 1]
Output [33]: [Produit_ID#16955, Quantite#16956, Code_promo#16957, Prix_unitaire_facture#16958, Montant_facture#16959, Client_ID#16960, Date#16961, Annee_mois#16962, Transaction_ID#16963, Region-[Norm]#16964, Currency-[Norm]#16965, Date-[Norm]#16966, Campagne_ID#16967, Jour-Semaine#16968, Freebe#16969, Premium#16970, Categorie_Products_ref#16971, Type_Products_ref#16972, Prix_unitaire#16973, Prix_revient#16974, Client_premium#16975, Client_region#16976, GBP#16977, USD#16978, JPY#16979, PrixUnitaireFacture-Euros#16980, MontantFacture-Euros#16981, Ecart-PrixUnitaireReference#16982, Ecart-PrixRevientReference#16983, Ecart-PrixFactureReferent#16984, Ecart-PrixFacturerevientReference#16985, Marge-Therorique#16986, Marge-Reelle#16987]
Arguments: [Produit_ID#16955, Quantite#16956, Code_promo#16957, Prix_unitaire_facture#16958, Montant_facture#16959, Client_ID#16960, Date#16961, Annee_mois#16962, Transaction_ID#16963, Region-[Norm]#16964, Currency-[Norm]#16965, Date-[Norm]#16966, Campagne_ID#16967, Jour-Semaine#16968, Freebe#16969, Premium#16970, Categorie_Products_ref#16971, Type_Products_ref#16972, Prix_unitaire#16973, Prix_revient#16974, Client_premium#16975, Client_region#16976, GBP#16977, USD#16978, ... 9 more fields], MapPartitionsRDD[683] at createDataFrame at AbsExportExecutor.java:55, ExistingRDD, UnknownPartitioning(0)

(2) Exchange
Input [33]: [Produit_ID#16955, Quantite#16956, Code_promo#16957, Prix_unitaire_facture#16958, Montant_facture#16959, Client_ID#16960, Date#16961, Annee_mois#16962, Transaction_ID#16963, Region-[Norm]#16964, Currency-[Norm]#16965, Date-[Norm]#16966, Campagne_ID#16967, Jour-Semaine#16968, Freebe#16969, Premium#16970, Categorie_Products_ref#16971, Type_Products_ref#16972, Prix_unitaire#16973, Prix_revient#16974, Client_premium#16975, Client_region#16976, GBP#16977, USD#16978, JPY#16979, PrixUnitaireFacture-Euros#16980, MontantFacture-Euros#16981, Ecart-PrixUnitaireReference#16982, Ecart-PrixRevientReference#16983, Ecart-PrixFactureReferent#16984, Ecart-PrixFacturerevientReference#16985, Marge-Therorique#16986, Marge-Reelle#16987]
Arguments: SinglePartition, REPARTITION_BY_NUM, [plan_id=4496]

(3) ShuffleQueryStage
Output [33]: [Produit_ID#16955, Quantite#16956, Code_promo#16957, Prix_unitaire_facture#16958, Montant_facture#16959, Client_ID#16960, Date#16961, Annee_mois#16962, Transaction_ID#16963, Region-[Norm]#16964, Currency-[Norm]#16965, Date-[Norm]#16966, Campagne_ID#16967, Jour-Semaine#16968, Freebe#16969, Premium#16970, Categorie_Products_ref#16971, Type_Products_ref#16972, Prix_unitaire#16973, Prix_revient#16974, Client_premium#16975, Client_region#16976, GBP#16977, USD#16978, JPY#16979, PrixUnitaireFacture-Euros#16980, MontantFacture-Euros#16981, Ecart-PrixUnitaireReference#16982, Ecart-PrixRevientReference#16983, Ecart-PrixFactureReferent#16984, Ecart-PrixFacturerevientReference#16985, Marge-Therorique#16986, Marge-Reelle#16987]
Arguments: 0

(4) WriteFiles
Input [33]: [Produit_ID#16955, Quantite#16956, Code_promo#16957, Prix_unitaire_facture#16958, Montant_facture#16959, Client_ID#16960, Date#16961, Annee_mois#16962, Transaction_ID#16963, Region-[Norm]#16964, Currency-[Norm]#16965, Date-[Norm]#16966, Campagne_ID#16967, Jour-Semaine#16968, Freebe#16969, Premium#16970, Categorie_Products_ref#16971, Type_Products_ref#16972, Prix_unitaire#16973, Prix_revient#16974, Client_premium#16975, Client_region#16976, GBP#16977, USD#16978, JPY#16979, PrixUnitaireFacture-Euros#16980, MontantFacture-Euros#16981, Ecart-PrixUnitaireReference#16982, Ecart-PrixRevientReference#16983, Ecart-PrixFactureReferent#16984, Ecart-PrixFacturerevientReference#16985, Marge-Therorique#16986, Marge-Reelle#16987]

(5) Execute InsertIntoHadoopFsRelationCommand
Input: []
Arguments: file:/data/output/export/parquet/537eafac-95b6-4cf1-9df2-9610ab83f684, false, Parquet, [path=file:///data/output/export/parquet/537eafac-95b6-4cf1-9df2-9610ab83f684], ErrorIfExists, [Produit_ID, Quantite, Code_promo, Prix_unitaire_facture, Montant_facture, Client_ID, Date, Annee_mois, Transaction_ID, Region-[Norm], Currency-[Norm], Date-[Norm], Campagne_ID, Jour-Semaine, Freebe, Premium, Categorie_Products_ref, Type_Products_ref, Prix_unitaire, Prix_revient, Client_premium, Client_region, GBP, USD, ... 9 more fields]

(6) Exchange
Input [33]: [Produit_ID#16955, Quantite#16956, Code_promo#16957, Prix_unitaire_facture#16958, Montant_facture#16959, Client_ID#16960, Date#16961, Annee_mois#16962, Transaction_ID#16963, Region-[Norm]#16964, Currency-[Norm]#16965, Date-[Norm]#16966, Campagne_ID#16967, Jour-Semaine#16968, Freebe#16969, Premium#16970, Categorie_Products_ref#16971, Type_Products_ref#16972, Prix_unitaire#16973, Prix_revient#16974, Client_premium#16975, Client_region#16976, GBP#16977, USD#16978, JPY#16979, PrixUnitaireFacture-Euros#16980, MontantFacture-Euros#16981, Ecart-PrixUnitaireReference#16982, Ecart-PrixRevientReference#16983, Ecart-PrixFactureReferent#16984, Ecart-PrixFacturerevientReference#16985, Marge-Therorique#16986, Marge-Reelle#16987]
Arguments: SinglePartition, REPARTITION_BY_NUM, [plan_id=4489]

(7) WriteFiles
Input [33]: [Produit_ID#16955, Quantite#16956, Code_promo#16957, Prix_unitaire_facture#16958, Montant_facture#16959, Client_ID#16960, Date#16961, Annee_mois#16962, Transaction_ID#16963, Region-[Norm]#16964, Currency-[Norm]#16965, Date-[Norm]#16966, Campagne_ID#16967, Jour-Semaine#16968, Freebe#16969, Premium#16970, Categorie_Products_ref#16971, Type_Products_ref#16972, Prix_unitaire#16973, Prix_revient#16974, Client_premium#16975, Client_region#16976, GBP#16977, USD#16978, JPY#16979, PrixUnitaireFacture-Euros#16980, MontantFacture-Euros#16981, Ecart-PrixUnitaireReference#16982, Ecart-PrixRevientReference#16983, Ecart-PrixFactureReferent#16984, Ecart-PrixFacturerevientReference#16985, Marge-Therorique#16986, Marge-Reelle#16987]

(8) Execute InsertIntoHadoopFsRelationCommand
Input: []
Arguments: file:/data/output/export/parquet/537eafac-95b6-4cf1-9df2-9610ab83f684, false, Parquet, [path=file:///data/output/export/parquet/537eafac-95b6-4cf1-9df2-9610ab83f684], ErrorIfExists, [Produit_ID, Quantite, Code_promo, Prix_unitaire_facture, Montant_facture, Client_ID, Date, Annee_mois, Transaction_ID, Region-[Norm], Currency-[Norm], Date-[Norm], Campagne_ID, Jour-Semaine, Freebe, Premium, Categorie_Products_ref, Type_Products_ref, Prix_unitaire, Prix_revient, Client_premium, Client_region, GBP, USD, ... 9 more fields]

(9) AdaptiveSparkPlan
Output: []
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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