digraph G {
0 [labelType="html" label="<br><b>DeserializeToObject</b><br><br>"];
subgraph cluster1 {
isCluster="true";
label="WholeStageCodegen (1)\n \nduration: 847 ms";
2 [labelType="html" label="<br><b>Project</b><br><br>"];
3 [labelType="html" label="<b>Scan ExistingRDD</b><br><br>number of output rows: 23,504"];
}
2->0;
3->2;
}
4
DeserializeToObject createexternalrow(at_nompat#223365.toString, prenom_patient#223366.toString, at_prefix#223367.toString, at_datnai#223368.toString, at_sexe#223369.toString, at_ville#223370.toString, at_datnaiss#223371.toString, at_codpos#223372.toString, at_njfpat#223373.toString, nom_patient#223374.toString, numdos#223375.toString, at_pnopat#223376.toString, at_stapat#223377.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, id_dc_do_not_overwrite_h_patien_438514#223391L, true, false, true), StructField(at_nompat,StringType,true), StructField(prenom_patient,StringType,true), StructField(at_prefix,StringType,true), StructField(at_datnai,StringType,true), StructField(at_sexe,StringType,true), StructField(at_ville,StringType,true), StructField(at_datnaiss,StringType,true), StructField(at_codpos,StringType,true), StructField(at_njfpat,StringType,true), StructField(nom_patient,StringType,true), ... 4 more fields), obj#223434: org.apache.spark.sql.Row
Project [at_nompat#223365, prenom_patient#223366, at_prefix#223367, at_datnai#223368, at_sexe#223369, at_ville#223370, at_datnaiss#223371, at_codpos#223372, at_njfpat#223373, nom_patient#223374, numdos#223375, at_pnopat#223376, at_stapat#223377, monotonically_increasing_id() AS id_dc_do_not_overwrite_h_patien_438514#223391L]
Scan ExistingRDD[at_nompat#223365,prenom_patient#223366,at_prefix#223367,at_datnai#223368,at_sexe#223369,at_ville#223370,at_datnaiss#223371,at_codpos#223372,at_njfpat#223373,nom_patient#223374,numdos#223375,at_pnopat#223376,at_stapat#223377]
WholeStageCodegen (1)
== Physical Plan ==
DeserializeToObject (3)
+- * Project (2)
+- * Scan ExistingRDD (1)
(1) Scan ExistingRDD [codegen id : 1]
Output [13]: [at_nompat#223365, prenom_patient#223366, at_prefix#223367, at_datnai#223368, at_sexe#223369, at_ville#223370, at_datnaiss#223371, at_codpos#223372, at_njfpat#223373, nom_patient#223374, numdos#223375, at_pnopat#223376, at_stapat#223377]
Arguments: [at_nompat#223365, prenom_patient#223366, at_prefix#223367, at_datnai#223368, at_sexe#223369, at_ville#223370, at_datnaiss#223371, at_codpos#223372, at_njfpat#223373, nom_patient#223374, numdos#223375, at_pnopat#223376, at_stapat#223377], MapPartitionsRDD[3538] at createDataFrame at AbsExportExecutor.java:55, ExistingRDD, UnknownPartitioning(0)
(2) Project [codegen id : 1]
Output [14]: [at_nompat#223365, prenom_patient#223366, at_prefix#223367, at_datnai#223368, at_sexe#223369, at_ville#223370, at_datnaiss#223371, at_codpos#223372, at_njfpat#223373, nom_patient#223374, numdos#223375, at_pnopat#223376, at_stapat#223377, monotonically_increasing_id() AS id_dc_do_not_overwrite_h_patien_438514#223391L]
Input [13]: [at_nompat#223365, prenom_patient#223366, at_prefix#223367, at_datnai#223368, at_sexe#223369, at_ville#223370, at_datnaiss#223371, at_codpos#223372, at_njfpat#223373, nom_patient#223374, numdos#223375, at_pnopat#223376, at_stapat#223377]
(3) DeserializeToObject
Input [14]: [at_nompat#223365, prenom_patient#223366, at_prefix#223367, at_datnai#223368, at_sexe#223369, at_ville#223370, at_datnaiss#223371, at_codpos#223372, at_njfpat#223373, nom_patient#223374, numdos#223375, at_pnopat#223376, at_stapat#223377, id_dc_do_not_overwrite_h_patien_438514#223391L]
Arguments: createexternalrow(at_nompat#223365.toString, prenom_patient#223366.toString, at_prefix#223367.toString, at_datnai#223368.toString, at_sexe#223369.toString, at_ville#223370.toString, at_datnaiss#223371.toString, at_codpos#223372.toString, at_njfpat#223373.toString, nom_patient#223374.toString, numdos#223375.toString, at_pnopat#223376.toString, at_stapat#223377.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, id_dc_do_not_overwrite_h_patien_438514#223391L, true, false, true), StructField(at_nompat,StringType,true), StructField(prenom_patient,StringType,true), StructField(at_prefix,StringType,true), StructField(at_datnai,StringType,true), StructField(at_sexe,StringType,true), StructField(at_ville,StringType,true), StructField(at_datnaiss,StringType,true), StructField(at_codpos,StringType,true), StructField(at_njfpat,StringType,true), StructField(nom_patient,StringType,true), ... 4 more fields), obj#223434: org.apache.spark.sql.Row