digraph G {
0 [labelType="html" label="<br><b>DeserializeToObject</b><br><br>"];
subgraph cluster1 {
isCluster="true";
label="WholeStageCodegen (1)\n \nduration: 902 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#206916.toString, prenom_patient#206917.toString, at_prefix#206918.toString, at_datnai#206919.toString, at_sexe#206920.toString, at_ville#206921.toString, at_datnaiss#206922.toString, at_codpos#206923.toString, at_njfpat#206924.toString, nom_patient#206925.toString, at_numdos#206926.toString, at_pnopat#206927.toString, at_stapat#206928.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, id_dc_do_not_overwrite_h_patien_438514#206942L, 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#206985: org.apache.spark.sql.Row
Project [at_nompat#206916, prenom_patient#206917, at_prefix#206918, at_datnai#206919, at_sexe#206920, at_ville#206921, at_datnaiss#206922, at_codpos#206923, at_njfpat#206924, nom_patient#206925, at_numdos#206926, at_pnopat#206927, at_stapat#206928, monotonically_increasing_id() AS id_dc_do_not_overwrite_h_patien_438514#206942L]
Scan ExistingRDD[at_nompat#206916,prenom_patient#206917,at_prefix#206918,at_datnai#206919,at_sexe#206920,at_ville#206921,at_datnaiss#206922,at_codpos#206923,at_njfpat#206924,nom_patient#206925,at_numdos#206926,at_pnopat#206927,at_stapat#206928]
WholeStageCodegen (1)
== Physical Plan ==
DeserializeToObject (3)
+- * Project (2)
+- * Scan ExistingRDD (1)
(1) Scan ExistingRDD [codegen id : 1]
Output [13]: [at_nompat#206916, prenom_patient#206917, at_prefix#206918, at_datnai#206919, at_sexe#206920, at_ville#206921, at_datnaiss#206922, at_codpos#206923, at_njfpat#206924, nom_patient#206925, at_numdos#206926, at_pnopat#206927, at_stapat#206928]
Arguments: [at_nompat#206916, prenom_patient#206917, at_prefix#206918, at_datnai#206919, at_sexe#206920, at_ville#206921, at_datnaiss#206922, at_codpos#206923, at_njfpat#206924, nom_patient#206925, at_numdos#206926, at_pnopat#206927, at_stapat#206928], MapPartitionsRDD[3392] at createDataFrame at AbsExportExecutor.java:55, ExistingRDD, UnknownPartitioning(0)
(2) Project [codegen id : 1]
Output [14]: [at_nompat#206916, prenom_patient#206917, at_prefix#206918, at_datnai#206919, at_sexe#206920, at_ville#206921, at_datnaiss#206922, at_codpos#206923, at_njfpat#206924, nom_patient#206925, at_numdos#206926, at_pnopat#206927, at_stapat#206928, monotonically_increasing_id() AS id_dc_do_not_overwrite_h_patien_438514#206942L]
Input [13]: [at_nompat#206916, prenom_patient#206917, at_prefix#206918, at_datnai#206919, at_sexe#206920, at_ville#206921, at_datnaiss#206922, at_codpos#206923, at_njfpat#206924, nom_patient#206925, at_numdos#206926, at_pnopat#206927, at_stapat#206928]
(3) DeserializeToObject
Input [14]: [at_nompat#206916, prenom_patient#206917, at_prefix#206918, at_datnai#206919, at_sexe#206920, at_ville#206921, at_datnaiss#206922, at_codpos#206923, at_njfpat#206924, nom_patient#206925, at_numdos#206926, at_pnopat#206927, at_stapat#206928, id_dc_do_not_overwrite_h_patien_438514#206942L]
Arguments: createexternalrow(at_nompat#206916.toString, prenom_patient#206917.toString, at_prefix#206918.toString, at_datnai#206919.toString, at_sexe#206920.toString, at_ville#206921.toString, at_datnaiss#206922.toString, at_codpos#206923.toString, at_njfpat#206924.toString, nom_patient#206925.toString, at_numdos#206926.toString, at_pnopat#206927.toString, at_stapat#206928.toString, staticinvoke(class java.lang.Long, ObjectType(class java.lang.Long), valueOf, id_dc_do_not_overwrite_h_patien_438514#206942L, 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#206985: org.apache.spark.sql.Row