SP1 - Details for Query 105

Submitted Time: 2026/04/20 15:44:54
Duration: 1.0 s
Succeeded Jobs: 92 93

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: 2 ms number of written files: 1 job commit time: 17 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: 346 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/64f16a25-b5f5-4c71-87f6-646505a9e6b7, false, Parquet, [path=file:///data/output/export/parquet/64f16a25-b5f5-4c71-87f6-646505a9e6b7], 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=4435]

Scan ExistingRDD[Produit_ID#16590,Quantite#16591,Code_promo#16592,Prix_unitaire_facture#16593,Montant_facture#16594,Client_ID#16595,Date#16596,Annee_mois#16597,Transaction_ID#16598,Region-[Norm]#16599,Currency-[Norm]#16600,Date-[Norm]#16601,Campagne_ID#16602,Jour-Semaine#16603,Freebe#16604,Premium#16605,Categorie_Products_ref#16606,Type_Products_ref#16607,Prix_unitaire#16608,Prix_revient#16609,Client_premium#16610,Client_region#16611,GBP#16612,USD#16613,... 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#16590, Quantite#16591, Code_promo#16592, Prix_unitaire_facture#16593, Montant_facture#16594, Client_ID#16595, Date#16596, Annee_mois#16597, Transaction_ID#16598, Region-[Norm]#16599, Currency-[Norm]#16600, Date-[Norm]#16601, Campagne_ID#16602, Jour-Semaine#16603, Freebe#16604, Premium#16605, Categorie_Products_ref#16606, Type_Products_ref#16607, Prix_unitaire#16608, Prix_revient#16609, Client_premium#16610, Client_region#16611, GBP#16612, USD#16613, JPY#16614, PrixUnitaireFacture-Euros#16615, MontantFacture-Euros#16616, Ecart-PrixUnitaireReference#16617, Ecart-PrixRevientReference#16618, Ecart-PrixFactureReferent#16619, Ecart-PrixFacturerevientReference#16620, Marge-Therorique#16621, Marge-Reelle#16622]
Arguments: [Produit_ID#16590, Quantite#16591, Code_promo#16592, Prix_unitaire_facture#16593, Montant_facture#16594, Client_ID#16595, Date#16596, Annee_mois#16597, Transaction_ID#16598, Region-[Norm]#16599, Currency-[Norm]#16600, Date-[Norm]#16601, Campagne_ID#16602, Jour-Semaine#16603, Freebe#16604, Premium#16605, Categorie_Products_ref#16606, Type_Products_ref#16607, Prix_unitaire#16608, Prix_revient#16609, Client_premium#16610, Client_region#16611, GBP#16612, USD#16613, ... 9 more fields], MapPartitionsRDD[666] at createDataFrame at AbsExportExecutor.java:55, ExistingRDD, UnknownPartitioning(0)

(2) Exchange
Input [33]: [Produit_ID#16590, Quantite#16591, Code_promo#16592, Prix_unitaire_facture#16593, Montant_facture#16594, Client_ID#16595, Date#16596, Annee_mois#16597, Transaction_ID#16598, Region-[Norm]#16599, Currency-[Norm]#16600, Date-[Norm]#16601, Campagne_ID#16602, Jour-Semaine#16603, Freebe#16604, Premium#16605, Categorie_Products_ref#16606, Type_Products_ref#16607, Prix_unitaire#16608, Prix_revient#16609, Client_premium#16610, Client_region#16611, GBP#16612, USD#16613, JPY#16614, PrixUnitaireFacture-Euros#16615, MontantFacture-Euros#16616, Ecart-PrixUnitaireReference#16617, Ecart-PrixRevientReference#16618, Ecart-PrixFactureReferent#16619, Ecart-PrixFacturerevientReference#16620, Marge-Therorique#16621, Marge-Reelle#16622]
Arguments: SinglePartition, REPARTITION_BY_NUM, [plan_id=4435]

(3) ShuffleQueryStage
Output [33]: [Produit_ID#16590, Quantite#16591, Code_promo#16592, Prix_unitaire_facture#16593, Montant_facture#16594, Client_ID#16595, Date#16596, Annee_mois#16597, Transaction_ID#16598, Region-[Norm]#16599, Currency-[Norm]#16600, Date-[Norm]#16601, Campagne_ID#16602, Jour-Semaine#16603, Freebe#16604, Premium#16605, Categorie_Products_ref#16606, Type_Products_ref#16607, Prix_unitaire#16608, Prix_revient#16609, Client_premium#16610, Client_region#16611, GBP#16612, USD#16613, JPY#16614, PrixUnitaireFacture-Euros#16615, MontantFacture-Euros#16616, Ecart-PrixUnitaireReference#16617, Ecart-PrixRevientReference#16618, Ecart-PrixFactureReferent#16619, Ecart-PrixFacturerevientReference#16620, Marge-Therorique#16621, Marge-Reelle#16622]
Arguments: 0

(4) WriteFiles
Input [33]: [Produit_ID#16590, Quantite#16591, Code_promo#16592, Prix_unitaire_facture#16593, Montant_facture#16594, Client_ID#16595, Date#16596, Annee_mois#16597, Transaction_ID#16598, Region-[Norm]#16599, Currency-[Norm]#16600, Date-[Norm]#16601, Campagne_ID#16602, Jour-Semaine#16603, Freebe#16604, Premium#16605, Categorie_Products_ref#16606, Type_Products_ref#16607, Prix_unitaire#16608, Prix_revient#16609, Client_premium#16610, Client_region#16611, GBP#16612, USD#16613, JPY#16614, PrixUnitaireFacture-Euros#16615, MontantFacture-Euros#16616, Ecart-PrixUnitaireReference#16617, Ecart-PrixRevientReference#16618, Ecart-PrixFactureReferent#16619, Ecart-PrixFacturerevientReference#16620, Marge-Therorique#16621, Marge-Reelle#16622]

(5) Execute InsertIntoHadoopFsRelationCommand
Input: []
Arguments: file:/data/output/export/parquet/64f16a25-b5f5-4c71-87f6-646505a9e6b7, false, Parquet, [path=file:///data/output/export/parquet/64f16a25-b5f5-4c71-87f6-646505a9e6b7], 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#16590, Quantite#16591, Code_promo#16592, Prix_unitaire_facture#16593, Montant_facture#16594, Client_ID#16595, Date#16596, Annee_mois#16597, Transaction_ID#16598, Region-[Norm]#16599, Currency-[Norm]#16600, Date-[Norm]#16601, Campagne_ID#16602, Jour-Semaine#16603, Freebe#16604, Premium#16605, Categorie_Products_ref#16606, Type_Products_ref#16607, Prix_unitaire#16608, Prix_revient#16609, Client_premium#16610, Client_region#16611, GBP#16612, USD#16613, JPY#16614, PrixUnitaireFacture-Euros#16615, MontantFacture-Euros#16616, Ecart-PrixUnitaireReference#16617, Ecart-PrixRevientReference#16618, Ecart-PrixFactureReferent#16619, Ecart-PrixFacturerevientReference#16620, Marge-Therorique#16621, Marge-Reelle#16622]
Arguments: SinglePartition, REPARTITION_BY_NUM, [plan_id=4428]

(7) WriteFiles
Input [33]: [Produit_ID#16590, Quantite#16591, Code_promo#16592, Prix_unitaire_facture#16593, Montant_facture#16594, Client_ID#16595, Date#16596, Annee_mois#16597, Transaction_ID#16598, Region-[Norm]#16599, Currency-[Norm]#16600, Date-[Norm]#16601, Campagne_ID#16602, Jour-Semaine#16603, Freebe#16604, Premium#16605, Categorie_Products_ref#16606, Type_Products_ref#16607, Prix_unitaire#16608, Prix_revient#16609, Client_premium#16610, Client_region#16611, GBP#16612, USD#16613, JPY#16614, PrixUnitaireFacture-Euros#16615, MontantFacture-Euros#16616, Ecart-PrixUnitaireReference#16617, Ecart-PrixRevientReference#16618, Ecart-PrixFactureReferent#16619, Ecart-PrixFacturerevientReference#16620, Marge-Therorique#16621, Marge-Reelle#16622]

(8) Execute InsertIntoHadoopFsRelationCommand
Input: []
Arguments: file:/data/output/export/parquet/64f16a25-b5f5-4c71-87f6-646505a9e6b7, false, Parquet, [path=file:///data/output/export/parquet/64f16a25-b5f5-4c71-87f6-646505a9e6b7], 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