g9_chernyshev_miron_s2 - Details for Query 33

Submitted Time: 2026/08/18 13:52:45
Duration: 11 s
Succeeded Jobs: 66 67

Show the Stage ID and Task ID that corresponds to the max metric

digraph G { 0 [labelType="html" label=" AdaptiveSparkPlan "]; subgraph cluster1 { isCluster="true"; label="WholeStageCodegen (2)\n \nduration: 1 ms"; 2 [labelType="html" label="HashAggregate time in aggregation build: 0 ms number of output rows: 1"]; } 3 [labelType="html" label="Exchange shuffle records written: 8 local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 3 ms (0 ms, 0 ms, 0 ms (stage 98.0: task 284)) remote merged bytes read: 0.0 B local merged blocks fetched: 0 corrupt merged block chunks: 0 remote merged reqs duration: 0 ms remote merged blocks fetched: 0 records read: 8 local bytes read: 480.0 B fetch wait time: 0 ms remote bytes read: 0.0 B merged fetch fallback count: 0 local blocks read: 8 remote merged chunks fetched: 0 remote blocks read: 0 data size total (min, med, max (stageId: taskId)) 256.0 B (0.0 B, 32.0 B, 32.0 B (stage 98.0: task 284)) local merged bytes read: 0.0 B number of partitions: 1 remote reqs duration: 0 ms remote bytes read to disk: 0.0 B shuffle bytes written total (min, med, max (stageId: taskId)) 480.0 B (0.0 B, 58.0 B, 65.0 B (stage 98.0: task 285))"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n20.3 s (1.1 s, 2.5 s, 4.0 s (stage 98.0: task 283))"; 5 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 20.3 s (1.1 s, 2.5 s, 4.0 s (stage 98.0: task 283)) number of output rows: 8"]; 6 [labelType="html" label=" Project "]; 7 [labelType="html" label="Filter number of output rows: 19,713"]; } 8 [labelType="html" label="Scan csv number of output rows: 19,713 number of files read: 5 metadata time: 0 ms size of files read: 928.8 MiB"]; 2->0; 3->2; 5->3; 6->5; 7->6; 8->7; }

AdaptiveSparkPlan isFinalPlan=true

HashAggregate(keys=[], functions=[sum(cast(isnull(end_station_id#703) as int)), sum(cast(isnull(end_lat#27) as int)), sum(cast(isnull(end_lng#28) as int))])

WholeStageCodegen (2)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=1321]

HashAggregate(keys=[], functions=[partial_sum(cast(isnull(end_station_id#703) as int)), partial_sum(cast(isnull(end_lat#27) as int)), partial_sum(cast(isnull(end_lng#28) as int))])

Project [cast(end_station_id#24 as float) AS end_station_id#703, end_lat#27, end_lng#28]

Filter isnull(end_station_name#23)

WholeStageCodegen (1)

FileScan csv [end_station_name#23,end_station_id#24,end_lat#27,end_lng#28] Batched: false, DataFilters: [isnull(end_station_name#23)], Format: CSV, Location: InMemoryFileIndex(5 paths)[s3a://rzvde-g9-chernyshev-miron/raw/citibike_data/202507/202507-citibi..., PartitionFilters: [], PushedFilters: [IsNull(end_station_name)], ReadSchema: struct<end_station_name:string,end_station_id:string,end_lat:double,end_lng:double>

Details

== Physical Plan ==
AdaptiveSparkPlan (13)
+- == Final Plan ==
   * HashAggregate (7)
   +- ShuffleQueryStage (6), Statistics(sizeInBytes=256.0 B, rowCount=8)
      +- Exchange (5)
         +- * HashAggregate (4)
            +- * Project (3)
               +- * Filter (2)
                  +- Scan csv  (1)
+- == Initial Plan ==
   HashAggregate (12)
   +- Exchange (11)
      +- HashAggregate (10)
         +- Project (9)
            +- Filter (8)
               +- Scan csv  (1)


(1) Scan csv 
Output [4]: [end_station_name#23, end_station_id#24, end_lat#27, end_lng#28]
Batched: false
Location: InMemoryFileIndex [s3a://rzvde-g9-chernyshev-miron/raw/citibike_data/202507/202507-citibike-tripdata-part00.csv, ... 4 entries]
PushedFilters: [IsNull(end_station_name)]
ReadSchema: struct<end_station_name:string,end_station_id:string,end_lat:double,end_lng:double>

(2) Filter [codegen id : 1]
Input [4]: [end_station_name#23, end_station_id#24, end_lat#27, end_lng#28]
Condition : isnull(end_station_name#23)

(3) Project [codegen id : 1]
Output [3]: [cast(end_station_id#24 as float) AS end_station_id#703, end_lat#27, end_lng#28]
Input [4]: [end_station_name#23, end_station_id#24, end_lat#27, end_lng#28]

(4) HashAggregate [codegen id : 1]
Input [3]: [end_station_id#703, end_lat#27, end_lng#28]
Keys: []
Functions [3]: [partial_sum(cast(isnull(end_station_id#703) as int)), partial_sum(cast(isnull(end_lat#27) as int)), partial_sum(cast(isnull(end_lng#28) as int))]
Aggregate Attributes [3]: [sum#1521L, sum#1522L, sum#1523L]
Results [3]: [sum#1524L, sum#1525L, sum#1526L]

(5) Exchange
Input [3]: [sum#1524L, sum#1525L, sum#1526L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=1321]

(6) ShuffleQueryStage
Output [3]: [sum#1524L, sum#1525L, sum#1526L]
Arguments: 0

(7) HashAggregate [codegen id : 2]
Input [3]: [sum#1524L, sum#1525L, sum#1526L]
Keys: []
Functions [3]: [sum(cast(isnull(end_station_id#703) as int)), sum(cast(isnull(end_lat#27) as int)), sum(cast(isnull(end_lng#28) as int))]
Aggregate Attributes [3]: [sum(cast(isnull(end_station_id#703) as int))#1503L, sum(cast(isnull(end_lat#27) as int))#1504L, sum(cast(isnull(end_lng#28) as int))#1505L]
Results [3]: [toprettystring(sum(cast(isnull(end_station_id#703) as int))#1503L, Some(Etc/UTC)) AS toprettystring(sum(CAST((end_station_id IS NULL) AS INT)))#1515, toprettystring(sum(cast(isnull(end_lat#27) as int))#1504L, Some(Etc/UTC)) AS toprettystring(sum(CAST((end_lat IS NULL) AS INT)))#1516, toprettystring(sum(cast(isnull(end_lng#28) as int))#1505L, Some(Etc/UTC)) AS toprettystring(sum(CAST((end_lng IS NULL) AS INT)))#1517]

(8) Filter
Input [4]: [end_station_name#23, end_station_id#24, end_lat#27, end_lng#28]
Condition : isnull(end_station_name#23)

(9) Project
Output [3]: [cast(end_station_id#24 as float) AS end_station_id#703, end_lat#27, end_lng#28]
Input [4]: [end_station_name#23, end_station_id#24, end_lat#27, end_lng#28]

(10) HashAggregate
Input [3]: [end_station_id#703, end_lat#27, end_lng#28]
Keys: []
Functions [3]: [partial_sum(cast(isnull(end_station_id#703) as int)), partial_sum(cast(isnull(end_lat#27) as int)), partial_sum(cast(isnull(end_lng#28) as int))]
Aggregate Attributes [3]: [sum#1521L, sum#1522L, sum#1523L]
Results [3]: [sum#1524L, sum#1525L, sum#1526L]

(11) Exchange
Input [3]: [sum#1524L, sum#1525L, sum#1526L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=1306]

(12) HashAggregate
Input [3]: [sum#1524L, sum#1525L, sum#1526L]
Keys: []
Functions [3]: [sum(cast(isnull(end_station_id#703) as int)), sum(cast(isnull(end_lat#27) as int)), sum(cast(isnull(end_lng#28) as int))]
Aggregate Attributes [3]: [sum(cast(isnull(end_station_id#703) as int))#1503L, sum(cast(isnull(end_lat#27) as int))#1504L, sum(cast(isnull(end_lng#28) as int))#1505L]
Results [3]: [toprettystring(sum(cast(isnull(end_station_id#703) as int))#1503L, Some(Etc/UTC)) AS toprettystring(sum(CAST((end_station_id IS NULL) AS INT)))#1515, toprettystring(sum(cast(isnull(end_lat#27) as int))#1504L, Some(Etc/UTC)) AS toprettystring(sum(CAST((end_lat IS NULL) AS INT)))#1516, toprettystring(sum(cast(isnull(end_lng#28) as int))#1505L, Some(Etc/UTC)) AS toprettystring(sum(CAST((end_lng IS NULL) AS INT)))#1517]

(13) AdaptiveSparkPlan
Output [3]: [toprettystring(sum(CAST((end_station_id IS NULL) AS INT)))#1515, toprettystring(sum(CAST((end_lat IS NULL) AS INT)))#1516, toprettystring(sum(CAST((end_lng IS NULL) AS INT)))#1517]
Arguments: isFinalPlan=true