digraph G {
0 [labelType="html" label="<br><b>AdaptiveSparkPlan</b><br><br>"];
subgraph cluster1 {
isCluster="true";
label="WholeStageCodegen (2)\n \nduration: 0 ms";
2 [labelType="html" label="<b>HashAggregate</b><br><br>time in aggregation build: 0 ms<br>number of output rows: 1"];
}
3 [labelType="html" label="<b>Exchange</b><br><br>shuffle records written: 3<br>local merged chunks fetched: 0<br>shuffle write time total (min, med, max (stageId: taskId))<br>4 ms (0 ms, 0 ms, 3 ms (stage 578.0: task 830))<br>remote merged bytes read: 0.0 B<br>local merged blocks fetched: 0<br>corrupt merged block chunks: 0<br>remote merged reqs duration: 0 ms<br>remote merged blocks fetched: 0<br>records read: 3<br>local bytes read: 177.0 B<br>fetch wait time: 0 ms<br>remote bytes read: 0.0 B<br>merged fetch fallback count: 0<br>local blocks read: 3<br>remote merged chunks fetched: 0<br>remote blocks read: 0<br>data size total (min, med, max (stageId: taskId))<br>48.0 B (16.0 B, 16.0 B, 16.0 B (stage 578.0: task 834))<br>local merged bytes read: 0.0 B<br>number of partitions: 1<br>remote reqs duration: 0 ms<br>remote bytes read to disk: 0.0 B<br>shuffle bytes written total (min, med, max (stageId: taskId))<br>177.0 B (59.0 B, 59.0 B, 59.0 B (stage 578.0: task 834))"];
subgraph cluster4 {
isCluster="true";
label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n1.7 s (97 ms, 668 ms, 961 ms (stage 578.0: task 830))";
5 [labelType="html" label="<b>HashAggregate</b><br><br>time in aggregation build total (min, med, max (stageId: taskId))<br>1.7 s (96 ms, 668 ms, 960 ms (stage 578.0: task 830))<br>number of output rows: 3"];
6 [labelType="html" label="<br><b>Project</b><br><br>"];
7 [labelType="html" label="<b>Filter</b><br><br>number of output rows: 8,867"];
8 [labelType="html" label="<b>ColumnarToRow</b><br><br>number of output rows: 95,000<br>number of input batches: 26"];
}
9 [labelType="html" label="<b>Scan parquet </b><br><br>number of files read: 3<br>scan time total (min, med, max (stageId: taskId))<br>136 ms (28 ms, 46 ms, 62 ms (stage 578.0: task 830))<br>metadata time: 0 ms<br>size of files read: 3.4 MiB<br>number of output rows: 95,000"];
2->0;
3->2;
5->3;
6->5;
7->6;
8->7;
9->8;
}
10
AdaptiveSparkPlan isFinalPlan=true
HashAggregate(keys=[], functions=[count(1)])
WholeStageCodegen (2)
Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=8818]
HashAggregate(keys=[], functions=[partial_count(1)])
Project
Filter (((CASE WHEN isnull(Contains(str_remove_accent(upper(IPP_19964#118650)), ME)) THEN false ELSE Contains(str_remove_accent(upper(IPP_19964#118650)), ME) END OR CASE WHEN isnull(Contains(str_remove_accent(upper(CODE_ETABLISSEM_19965#118647)), ME)) THEN false ELSE Contains(str_remove_accent(upper(CODE_ETABLISSEM_19965#118647)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(RUE_19966#118653)), ME)) THEN false ELSE Contains(str_remove_accent(upper(RUE_19966#118653)), ME) END) OR CASE WHEN isnull(Contains(str_remove_accent(upper(COMMUNE_19968#118649)), ME)) THEN false ELSE Contains(str_remove_accent(upper(COMMUNE_19968#118649)), ME) END)
ColumnarToRow
WholeStageCodegen (1)
FileScan parquet [CODE_ETABLISSEM_19965#118647,COMMUNE_19968#118649,IPP_19964#118650,RUE_19966#118653] Batched: true, DataFilters: [(((CASE WHEN isnull(Contains(str_remove_accent(upper(IPP_19964#118650)), ME)) THEN false ELSE Co..., Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/uet/PATIENT_ADRESSE_19963], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<CODE_ETABLISSEM_19965:string,COMMUNE_19968:string,IPP_19964:string,RUE_19966:string>