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: 1<br>local merged chunks fetched: 0<br>shuffle write time total (min, med, max (stageId: taskId))<br>0 ms (0 ms, 0 ms, 0 ms (stage 14498.0: task 32068))<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: 1<br>local bytes read: 59.0 B<br>fetch wait time: 0 ms<br>remote bytes read: 0.0 B<br>merged fetch fallback count: 0<br>local blocks read: 1<br>remote merged chunks fetched: 0<br>remote blocks read: 0<br>data size total (min, med, max (stageId: taskId))<br>16.0 B (0.0 B, 16.0 B, 16.0 B (stage 14498.0: task 32068))<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>59.0 B (0.0 B, 59.0 B, 59.0 B (stage 14498.0: task 32068))"];
subgraph cluster4 {
isCluster="true";
label="WholeStageCodegen (1)\n \nduration: 0 ms";
5 [labelType="html" label="<b>HashAggregate</b><br><br>time in aggregation build: 0 ms<br>number of output rows: 1"];
}
6 [labelType="html" label="<b>InMemoryTableScan</b><br><br>number of output rows: 3"];
subgraph cluster7 {
isCluster="true";
label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n0 ms (0 ms, 0 ms, 0 ms (stage 14491.0: task 32061))";
8 [labelType="html" label="<b>Scan JDBCRelation(dbo.fact_style_quantity_details) [numPartitions=1] </b><br><br>number of output rows: 3"];
}
2->0;
3->2;
5->3;
6->5;
8->6;
}
9
AdaptiveSparkPlan isFinalPlan=true
HashAggregate(keys=[], functions=[count(1)])
WholeStageCodegen (2)
Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=375978]
HashAggregate(keys=[], functions=[partial_count(1)])
WholeStageCodegen (1)
InMemoryTableScan
Scan JDBCRelation(dbo.fact_style_quantity_details) [numPartitions=1] [buyer_gln#10592915,delivery_quarter#10592916,Style Quantity Traced#10592917,Total Style Quantity in TT#10592918,Total Style Quantity Due for traceability#10592919,nike_total_style_quantity#10592920,mtz_style_quantity#10592921] PushedFilters: [], ReadSchema: struct<buyer_gln:string,delivery_quarter:string,Style Quantity Traced:double,Total Style Quantity...
WholeStageCodegen (1)
== Physical Plan ==
AdaptiveSparkPlan (12)
+- == Final Plan ==
* HashAggregate (8)
+- ShuffleQueryStage (7), Statistics(sizeInBytes=16.0 B, rowCount=1)
+- Exchange (6)
+- * HashAggregate (5)
+- TableCacheQueryStage (4), Statistics(sizeInBytes=207.0 B, rowCount=3)
+- InMemoryTableScan (1)
+- InMemoryRelation (2)
+- * Scan JDBCRelation(dbo.fact_style_quantity_details) [numPartitions=1] (3)
+- == Initial Plan ==
HashAggregate (11)
+- Exchange (10)
+- HashAggregate (9)
+- InMemoryTableScan (1)
+- InMemoryRelation (2)
+- * Scan JDBCRelation(dbo.fact_style_quantity_details) [numPartitions=1] (3)
(1) InMemoryTableScan
Output: []
(2) InMemoryRelation
Arguments: [buyer_gln#10592915, delivery_quarter#10592916, Style Quantity Traced#10592917, Total Style Quantity in TT#10592918, Total Style Quantity Due for traceability#10592919, nike_total_style_quantity#10592920, mtz_style_quantity#10592921], CachedRDDBuilder(org.apache.spark.sql.execution.columnar.DefaultCachedBatchSerializer@7795a5ad,StorageLevel(disk, memory, deserialized, 1 replicas),*(1) Scan JDBCRelation(dbo.fact_style_quantity_details) [numPartitions=1] [buyer_gln#10592915,delivery_quarter#10592916,Style Quantity Traced#10592917,Total Style Quantity in TT#10592918,Total Style Quantity Due for traceability#10592919,nike_total_style_quantity#10592920,mtz_style_quantity#10592921] PushedFilters: [], ReadSchema: struct<buyer_gln:string,delivery_quarter:string,Style Quantity Traced:double,Total Style Quantity...
,None)
(3) Scan JDBCRelation(dbo.fact_style_quantity_details) [numPartitions=1] [codegen id : 1]
Output [7]: [buyer_gln#10592915, delivery_quarter#10592916, Style Quantity Traced#10592917, Total Style Quantity in TT#10592918, Total Style Quantity Due for traceability#10592919, nike_total_style_quantity#10592920, mtz_style_quantity#10592921]
ReadSchema: struct<buyer_gln:string,delivery_quarter:string,Style Quantity Traced:double,Total Style Quantity in TT:double,Total Style Quantity Due for traceability:double,nike_total_style_quantity:int,mtz_style_quantity:int>
(4) TableCacheQueryStage
Output: []
Arguments: 0
(5) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#10593079L]
Results [1]: [count#10593080L]
(6) Exchange
Input [1]: [count#10593080L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=375978]
(7) ShuffleQueryStage
Output [1]: [count#10593080L]
Arguments: 1
(8) HashAggregate [codegen id : 2]
Input [1]: [count#10593080L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#10592971L]
Results [1]: [count(1)#10592971L AS count#10592972L]
(9) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#10593079L]
Results [1]: [count#10593080L]
(10) Exchange
Input [1]: [count#10593080L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=375349]
(11) HashAggregate
Input [1]: [count#10593080L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#10592971L]
Results [1]: [count(1)#10592971L AS count#10592972L]
(12) AdaptiveSparkPlan
Output [1]: [count#10592972L]
Arguments: isFinalPlan=true