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))\n568 ms (262 ms, 306 ms, 306 ms (stage 117.0: task 93))";
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#12282L, true, false, true), libelle_unite_medicale#12283.toString, staticinvoke(class java.lang.Double, ObjectType(class java.lang.Double), valueOf, valeur_ref_min#12284, true, false, true), id_patient#12285.toString, date_naissance#12286.toString, unite#12287.toString, libelle_analyse#12288.toString, sexe#12289.toString, staticinvoke(class java.lang.Double, ObjectType(class java.lang.Double), valueOf, valeur#12290, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, date_debut_sejour#12291, true, false, true), code_unite_medicale#12292.toString, staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, date_fin_sejour#12293, true, false, true), staticinvoke(class java.lang.Double, ObjectType(class java.lang.Double), valueOf, valeur_ref_max#12294, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, delai_2#12295L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, date_prelevement#12296, true, false, true), code_analyse#12297.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, id_dc_do_not_overwrite_biologie_patien_388165#12314L, 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#12366: org.apache.spark.sql.Row
Project [delai_1#12282L, libelle_unite_medicale#12283, valeur_ref_min#12284, id_patient#12285, date_naissance#12286, unite#12287, libelle_analyse#12288, sexe#12289, valeur#12290, date_debut_sejour#12291, code_unite_medicale#12292, date_fin_sejour#12293, valeur_ref_max#12294, delai_2#12295L, date_prelevement#12296, code_analyse#12297, monotonically_increasing_id() AS id_dc_do_not_overwrite_biologie_patien_388165#12314L]
Scan ExistingRDD[delai_1#12282L,libelle_unite_medicale#12283,valeur_ref_min#12284,id_patient#12285,date_naissance#12286,unite#12287,libelle_analyse#12288,sexe#12289,valeur#12290,date_debut_sejour#12291,code_unite_medicale#12292,date_fin_sejour#12293,valeur_ref_max#12294,delai_2#12295L,date_prelevement#12296,code_analyse#12297]
WholeStageCodegen (1)
== Physical Plan ==
DeserializeToObject (3)
+- * Project (2)
+- * Scan ExistingRDD (1)
(1) Scan ExistingRDD [codegen id : 1]
Output [16]: [delai_1#12282L, libelle_unite_medicale#12283, valeur_ref_min#12284, id_patient#12285, date_naissance#12286, unite#12287, libelle_analyse#12288, sexe#12289, valeur#12290, date_debut_sejour#12291, code_unite_medicale#12292, date_fin_sejour#12293, valeur_ref_max#12294, delai_2#12295L, date_prelevement#12296, code_analyse#12297]
Arguments: [delai_1#12282L, libelle_unite_medicale#12283, valeur_ref_min#12284, id_patient#12285, date_naissance#12286, unite#12287, libelle_analyse#12288, sexe#12289, valeur#12290, date_debut_sejour#12291, code_unite_medicale#12292, date_fin_sejour#12293, valeur_ref_max#12294, delai_2#12295L, date_prelevement#12296, code_analyse#12297], MapPartitionsRDD[547] at createDataFrame at AbsExportExecutor.java:55, ExistingRDD, UnknownPartitioning(0)
(2) Project [codegen id : 1]
Output [17]: [delai_1#12282L, libelle_unite_medicale#12283, valeur_ref_min#12284, id_patient#12285, date_naissance#12286, unite#12287, libelle_analyse#12288, sexe#12289, valeur#12290, date_debut_sejour#12291, code_unite_medicale#12292, date_fin_sejour#12293, valeur_ref_max#12294, delai_2#12295L, date_prelevement#12296, code_analyse#12297, monotonically_increasing_id() AS id_dc_do_not_overwrite_biologie_patien_388165#12314L]
Input [16]: [delai_1#12282L, libelle_unite_medicale#12283, valeur_ref_min#12284, id_patient#12285, date_naissance#12286, unite#12287, libelle_analyse#12288, sexe#12289, valeur#12290, date_debut_sejour#12291, code_unite_medicale#12292, date_fin_sejour#12293, valeur_ref_max#12294, delai_2#12295L, date_prelevement#12296, code_analyse#12297]
(3) DeserializeToObject
Input [17]: [delai_1#12282L, libelle_unite_medicale#12283, valeur_ref_min#12284, id_patient#12285, date_naissance#12286, unite#12287, libelle_analyse#12288, sexe#12289, valeur#12290, date_debut_sejour#12291, code_unite_medicale#12292, date_fin_sejour#12293, valeur_ref_max#12294, delai_2#12295L, date_prelevement#12296, code_analyse#12297, id_dc_do_not_overwrite_biologie_patien_388165#12314L]
Arguments: createexternalrow(staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, delai_1#12282L, true, false, true), libelle_unite_medicale#12283.toString, staticinvoke(class java.lang.Double, ObjectType(class java.lang.Double), valueOf, valeur_ref_min#12284, true, false, true), id_patient#12285.toString, date_naissance#12286.toString, unite#12287.toString, libelle_analyse#12288.toString, sexe#12289.toString, staticinvoke(class java.lang.Double, ObjectType(class java.lang.Double), valueOf, valeur#12290, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, date_debut_sejour#12291, true, false, true), code_unite_medicale#12292.toString, staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, date_fin_sejour#12293, true, false, true), staticinvoke(class java.lang.Double, ObjectType(class java.lang.Double), valueOf, valeur_ref_max#12294, true, false, true), staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, delai_2#12295L, true, false, true), staticinvoke(class org.apache.spark.sql.catalyst.util.DateTimeUtils$, ObjectType(class java.sql.Timestamp), toJavaTimestamp, date_prelevement#12296, true, false, true), code_analyse#12297.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, id_dc_do_not_overwrite_biologie_patien_388165#12314L, 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#12366: org.apache.spark.sql.Row