citibike-kryukov-egor-st2 - Details for Query 6

Submitted Time: 2026/11/06 14:14:43
Duration: 10 s
Succeeded Jobs: 10 11

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: 0 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: 7 local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 3 ms (0 ms, 0 ms, 0 ms (stage 14.0: task 39)) 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: 7 local bytes read: 413.0 B fetch wait time: 0 ms remote bytes read: 0.0 B merged fetch fallback count: 0 local blocks read: 7 remote merged chunks fetched: 0 remote blocks read: 0 data size total (min, med, max (stageId: taskId)) 112.0 B (0.0 B, 16.0 B, 16.0 B (stage 14.0: task 35)) 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)) 413.0 B (0.0 B, 59.0 B, 59.0 B (stage 14.0: task 35))"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n19.1 s (1.1 s, 2.9 s, 3.4 s (stage 14.0: task 36))"; 5 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 19.1 s (1.1 s, 2.9 s, 3.4 s (stage 14.0: task 36)) number of output rows: 7"]; 6 [labelType="html" label=" Project "]; 7 [labelType="html" label="Filter number of output rows: 182,197"]; } 8 [labelType="html" label="Scan csv number of output rows: 4,230,360 number of files read: 5 metadata time: 0 ms size of files read: 760.1 MiB"]; 2->0; 3->2; 5->3; 6->5; 7->6; 8->7; }

AdaptiveSparkPlan isFinalPlan=true

HashAggregate(keys=[], functions=[count(1)])

WholeStageCodegen (2)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=241]

HashAggregate(keys=[], functions=[partial_count(1)])

Project

Filter (((isnull(ride_id#17) OR (trim(ride_id#17, None) = )) OR ((isnull(cast(started_at#19 as timestamp)) OR isnull(cast(ended_at#20 as timestamp))) OR (cast(ended_at#20 as timestamp) <= cast(started_at#19 as timestamp)))) OR ((isnull(start_station_id#22) OR isnull(end_station_id#24)) OR (end_station_id#24 = start_station_id#22)))

WholeStageCodegen (1)

FileScan csv [ride_id#17,started_at#19,ended_at#20,start_station_id#22,end_station_id#24] Batched: false, DataFilters: [(((isnull(ride_id#17) OR (trim(ride_id#17, None) = )) OR ((isnull(cast(started_at#19 as timestam..., Format: CSV, Location: InMemoryFileIndex(5 paths)[s3a://rzvde-g12-kryukov-egor/raw/citibike_data/202405/202405-citibike-..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<ride_id:string,started_at:string,ended_at:string,start_station_id:string,end_station_id:st...

Details

== Physical Plan ==
AdaptiveSparkPlan (13)
+- == Final Plan ==
   * HashAggregate (7)
   +- ShuffleQueryStage (6), Statistics(sizeInBytes=112.0 B, rowCount=7)
      +- 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 [5]: [ride_id#17, started_at#19, ended_at#20, start_station_id#22, end_station_id#24]
Batched: false
Location: InMemoryFileIndex [s3a://rzvde-g12-kryukov-egor/raw/citibike_data/202405/202405-citibike-tripdata-part00.csv, ... 4 entries]
ReadSchema: struct<ride_id:string,started_at:string,ended_at:string,start_station_id:string,end_station_id:string>

(2) Filter [codegen id : 1]
Input [5]: [ride_id#17, started_at#19, ended_at#20, start_station_id#22, end_station_id#24]
Condition : (((isnull(ride_id#17) OR (trim(ride_id#17, None) = )) OR ((isnull(cast(started_at#19 as timestamp)) OR isnull(cast(ended_at#20 as timestamp))) OR (cast(ended_at#20 as timestamp) <= cast(started_at#19 as timestamp)))) OR ((isnull(start_station_id#22) OR isnull(end_station_id#24)) OR (end_station_id#24 = start_station_id#22)))

(3) Project [codegen id : 1]
Output: []
Input [5]: [ride_id#17, started_at#19, ended_at#20, start_station_id#22, end_station_id#24]

(4) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#318L]
Results [1]: [count#319L]

(5) Exchange
Input [1]: [count#319L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=241]

(6) ShuffleQueryStage
Output [1]: [count#319L]
Arguments: 0

(7) HashAggregate [codegen id : 2]
Input [1]: [count#319L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#315L]
Results [1]: [count(1)#315L AS count#316L]

(8) Filter
Input [5]: [ride_id#17, started_at#19, ended_at#20, start_station_id#22, end_station_id#24]
Condition : (((isnull(ride_id#17) OR (trim(ride_id#17, None) = )) OR ((isnull(cast(started_at#19 as timestamp)) OR isnull(cast(ended_at#20 as timestamp))) OR (cast(ended_at#20 as timestamp) <= cast(started_at#19 as timestamp)))) OR ((isnull(start_station_id#22) OR isnull(end_station_id#24)) OR (end_station_id#24 = start_station_id#22)))

(9) Project
Output: []
Input [5]: [ride_id#17, started_at#19, ended_at#20, start_station_id#22, end_station_id#24]

(10) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#318L]
Results [1]: [count#319L]

(11) Exchange
Input [1]: [count#319L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=227]

(12) HashAggregate
Input [1]: [count#319L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#315L]
Results [1]: [count(1)#315L AS count#316L]

(13) AdaptiveSparkPlan
Output [1]: [count#316L]
Arguments: isFinalPlan=true