digraph G {
0 [labelType="html" label="<br><b>DeserializeToObject</b><br><br>"];
subgraph cluster1 {
isCluster="true";
label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n477 ms (228 ms, 249 ms, 249 ms (stage 102.0: task 80))";
2 [labelType="html" label="<br><b>Project</b><br><br>"];
3 [labelType="html" label="<b>Scan ExistingRDD</b><br><br>number of output rows: 11,307"];
}
2->0;
3->2;
}
4
DeserializeToObject createexternalrow(staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, delai_1#11032L, true, false, true), libelle_unite_medicale#11033.toString, staticinvoke(class java.lang.Double, ObjectType(class java.lang.Double), valueOf, valeur_ref_min#11034, true, false, true), id_patient#11035.toString, date_naissance#11036.toString, unite#11037.toString, libelle_analyse#11038.toString, sexe#11039.toString, staticinvoke(class java.lang.Double, ObjectType(class java.lang.Double), valueOf, valeur#11040, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, date_debut_sejour#11041, true, false, true), code_unite_medicale#11042.toString, staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, date_fin_sejour#11043, true, false, true), staticinvoke(class java.lang.Double, ObjectType(class java.lang.Double), valueOf, valeur_ref_max#11044, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, delai_2#11045L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, date_prelevement#11046, true, false, true), code_analyse#11047.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, id_dc_do_not_overwrite_biologie_patien_388165#11064L, true, false, true), StructField(delai_1,LongType,true), StructField(libelle_unite_medicale,StringType,true), StructField(valeur_ref_min,DoubleType,true), StructField(id_patient,StringType,true), StructField(date_naissance,StringType,true), StructField(unite,StringType,true), StructField(libelle_analyse,StringType,true), ... 10 more fields), obj#11116: org.apache.spark.sql.Row
Project [delai_1#11032L, libelle_unite_medicale#11033, valeur_ref_min#11034, id_patient#11035, date_naissance#11036, unite#11037, libelle_analyse#11038, sexe#11039, valeur#11040, date_debut_sejour#11041, code_unite_medicale#11042, date_fin_sejour#11043, valeur_ref_max#11044, delai_2#11045L, date_prelevement#11046, code_analyse#11047, monotonically_increasing_id() AS id_dc_do_not_overwrite_biologie_patien_388165#11064L]
Scan ExistingRDD[delai_1#11032L,libelle_unite_medicale#11033,valeur_ref_min#11034,id_patient#11035,date_naissance#11036,unite#11037,libelle_analyse#11038,sexe#11039,valeur#11040,date_debut_sejour#11041,code_unite_medicale#11042,date_fin_sejour#11043,valeur_ref_max#11044,delai_2#11045L,date_prelevement#11046,code_analyse#11047]
WholeStageCodegen (1)
== Physical Plan ==
DeserializeToObject (3)
+- * Project (2)
+- * Scan ExistingRDD (1)
(1) Scan ExistingRDD [codegen id : 1]
Output [16]: [delai_1#11032L, libelle_unite_medicale#11033, valeur_ref_min#11034, id_patient#11035, date_naissance#11036, unite#11037, libelle_analyse#11038, sexe#11039, valeur#11040, date_debut_sejour#11041, code_unite_medicale#11042, date_fin_sejour#11043, valeur_ref_max#11044, delai_2#11045L, date_prelevement#11046, code_analyse#11047]
Arguments: [delai_1#11032L, libelle_unite_medicale#11033, valeur_ref_min#11034, id_patient#11035, date_naissance#11036, unite#11037, libelle_analyse#11038, sexe#11039, valeur#11040, date_debut_sejour#11041, code_unite_medicale#11042, date_fin_sejour#11043, valeur_ref_max#11044, delai_2#11045L, date_prelevement#11046, code_analyse#11047], MapPartitionsRDD[475] at createDataFrame at AbsExportExecutor.java:55, ExistingRDD, UnknownPartitioning(0)
(2) Project [codegen id : 1]
Output [17]: [delai_1#11032L, libelle_unite_medicale#11033, valeur_ref_min#11034, id_patient#11035, date_naissance#11036, unite#11037, libelle_analyse#11038, sexe#11039, valeur#11040, date_debut_sejour#11041, code_unite_medicale#11042, date_fin_sejour#11043, valeur_ref_max#11044, delai_2#11045L, date_prelevement#11046, code_analyse#11047, monotonically_increasing_id() AS id_dc_do_not_overwrite_biologie_patien_388165#11064L]
Input [16]: [delai_1#11032L, libelle_unite_medicale#11033, valeur_ref_min#11034, id_patient#11035, date_naissance#11036, unite#11037, libelle_analyse#11038, sexe#11039, valeur#11040, date_debut_sejour#11041, code_unite_medicale#11042, date_fin_sejour#11043, valeur_ref_max#11044, delai_2#11045L, date_prelevement#11046, code_analyse#11047]
(3) DeserializeToObject
Input [17]: [delai_1#11032L, libelle_unite_medicale#11033, valeur_ref_min#11034, id_patient#11035, date_naissance#11036, unite#11037, libelle_analyse#11038, sexe#11039, valeur#11040, date_debut_sejour#11041, code_unite_medicale#11042, date_fin_sejour#11043, valeur_ref_max#11044, delai_2#11045L, date_prelevement#11046, code_analyse#11047, id_dc_do_not_overwrite_biologie_patien_388165#11064L]
Arguments: createexternalrow(staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, delai_1#11032L, true, false, true), libelle_unite_medicale#11033.toString, staticinvoke(class java.lang.Double, ObjectType(class java.lang.Double), valueOf, valeur_ref_min#11034, true, false, true), id_patient#11035.toString, date_naissance#11036.toString, unite#11037.toString, libelle_analyse#11038.toString, sexe#11039.toString, staticinvoke(class java.lang.Double, ObjectType(class java.lang.Double), valueOf, valeur#11040, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, date_debut_sejour#11041, true, false, true), code_unite_medicale#11042.toString, staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, date_fin_sejour#11043, true, false, true), staticinvoke(class java.lang.Double, ObjectType(class java.lang.Double), valueOf, valeur_ref_max#11044, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, delai_2#11045L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, date_prelevement#11046, true, false, true), code_analyse#11047.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, id_dc_do_not_overwrite_biologie_patien_388165#11064L, true, false, true), StructField(delai_1,LongType,true), StructField(libelle_unite_medicale,StringType,true), StructField(valeur_ref_min,DoubleType,true), StructField(id_patient,StringType,true), StructField(date_naissance,StringType,true), StructField(unite,StringType,true), StructField(libelle_analyse,StringType,true), ... 10 more fields), obj#11116: org.apache.spark.sql.Row