digraph G {
0 [labelType="html" label="<br><b>CollectLimit</b><br><br>"];
subgraph cluster1 {
isCluster="true";
label="WholeStageCodegen (1)\n \nduration: 0 ms";
2 [labelType="html" label="<br><b>Project</b><br><br>"];
3 [labelType="html" label="<b>Scan JDBCRelation((SELECT \"VISIT_ID\", \"PATIENT_ID\", \"IN_DATE\", \"OUT_DATE\", \"IN_MODE\", \"OUT_MODE\", \"IN_UNIT\", \"OUT_UNIT\", \"VISIT_TYPE\", \"CHAMP_PMSI\", \"UNIT_PATH\", \"EMERGENCY\", \"CANCELED\" FROM \"DTM_622\".\"VISIT\") x) [numPartitions=1] </b><br><br>number of output rows: 500"];
}
2->0;
3->2;
}
4
CollectLimit 500
Project [VISIT_ID#44381, PATIENT_ID#44382, IN_DATE#44383, OUT_DATE#44384, IN_MODE#44385, OUT_MODE#44386, IN_UNIT#44387, OUT_UNIT#44388, VISIT_TYPE#44389, CHAMP_PMSI#44390, UNIT_PATH#44391, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, EMERGENCY#44392, 1, true, false, true) AS EMERGENCY#44394, CANCELED#44393]
Scan JDBCRelation((SELECT "VISIT_ID", "PATIENT_ID", "IN_DATE", "OUT_DATE", "IN_MODE", "OUT_MODE", "IN_UNIT", "OUT_UNIT", "VISIT_TYPE", "CHAMP_PMSI", "UNIT_PATH", "EMERGENCY", "CANCELED" FROM "DTM_622"."VISIT") x) [numPartitions=1] [VISIT_ID#44381,PATIENT_ID#44382,IN_DATE#44383,OUT_DATE#44384,IN_MODE#44385,OUT_MODE#44386,IN_UNIT#44387,OUT_UNIT#44388,VISIT_TYPE#44389,CHAMP_PMSI#44390,UNIT_PATH#44391,EMERGENCY#44392,CANCELED#44393] PushedFilters: [], ReadSchema: struct<VISIT_ID:binary,PATIENT_ID:binary,IN_DATE:timestamp,OUT_DATE:timestamp,IN_MODE:string,OUT_...
WholeStageCodegen (1)
== Physical Plan ==
CollectLimit (3)
+- * Project (2)
+- * Scan JDBCRelation((SELECT "VISIT_ID", "PATIENT_ID", "IN_DATE", "OUT_DATE", "IN_MODE", "OUT_MODE", "IN_UNIT", "OUT_UNIT", "VISIT_TYPE", "CHAMP_PMSI", "UNIT_PATH", "EMERGENCY", "CANCELED" FROM "DTM_622"."VISIT") x) [numPartitions=1] (1)
(1) Scan JDBCRelation((SELECT "VISIT_ID", "PATIENT_ID", "IN_DATE", "OUT_DATE", "IN_MODE", "OUT_MODE", "IN_UNIT", "OUT_UNIT", "VISIT_TYPE", "CHAMP_PMSI", "UNIT_PATH", "EMERGENCY", "CANCELED" FROM "DTM_622"."VISIT") x) [numPartitions=1] [codegen id : 1]
Output [13]: [VISIT_ID#44381, PATIENT_ID#44382, IN_DATE#44383, OUT_DATE#44384, IN_MODE#44385, OUT_MODE#44386, IN_UNIT#44387, OUT_UNIT#44388, VISIT_TYPE#44389, CHAMP_PMSI#44390, UNIT_PATH#44391, EMERGENCY#44392, CANCELED#44393]
ReadSchema: struct<VISIT_ID:binary,PATIENT_ID:binary,IN_DATE:timestamp,OUT_DATE:timestamp,IN_MODE:string,OUT_MODE:string,IN_UNIT:string,OUT_UNIT:string,VISIT_TYPE:string,CHAMP_PMSI:string,UNIT_PATH:string,EMERGENCY:string,CANCELED:decimal(1,0)>
(2) Project [codegen id : 1]
Output [13]: [VISIT_ID#44381, PATIENT_ID#44382, IN_DATE#44383, OUT_DATE#44384, IN_MODE#44385, OUT_MODE#44386, IN_UNIT#44387, OUT_UNIT#44388, VISIT_TYPE#44389, CHAMP_PMSI#44390, UNIT_PATH#44391, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, EMERGENCY#44392, 1, true, false, true) AS EMERGENCY#44394, CANCELED#44393]
Input [13]: [VISIT_ID#44381, PATIENT_ID#44382, IN_DATE#44383, OUT_DATE#44384, IN_MODE#44385, OUT_MODE#44386, IN_UNIT#44387, OUT_UNIT#44388, VISIT_TYPE#44389, CHAMP_PMSI#44390, UNIT_PATH#44391, EMERGENCY#44392, CANCELED#44393]
(3) CollectLimit
Input [13]: [VISIT_ID#44381, PATIENT_ID#44382, IN_DATE#44383, OUT_DATE#44384, IN_MODE#44385, OUT_MODE#44386, IN_UNIT#44387, OUT_UNIT#44388, VISIT_TYPE#44389, CHAMP_PMSI#44390, UNIT_PATH#44391, EMERGENCY#44394, CANCELED#44393]
Arguments: 500