EVAL1_SPC1 - Details for Query 253

Submitted Time: 2026/02/19 16:41:06
Duration: 6 s
Succeeded Jobs: 299 303

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: 3 local merged chunks fetched: 0 shuffle write time total (min, med, max (stageId: taskId)) 2 ms (0 ms, 0 ms, 1 ms (stage 380.0: task 361)) 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: 3 local bytes read: 171.0 B fetch wait time: 0 ms remote bytes read: 0.0 B merged fetch fallback count: 0 local blocks read: 3 remote merged chunks fetched: 0 remote blocks read: 0 data size total (min, med, max (stageId: taskId)) 48.0 B (16.0 B, 16.0 B, 16.0 B (stage 380.0: task 362)) 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)) 171.0 B (56.0 B, 56.0 B, 59.0 B (stage 380.0: task 361))"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n5.9 s (3 ms, 3 ms, 5.9 s (stage 380.0: task 361))"; 5 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 5.9 s (3 ms, 3 ms, 5.9 s (stage 380.0: task 361)) number of output rows: 3"]; 6 [labelType="html" label=" Project "]; 7 [labelType="html" label="Generate number of output rows: 335,343"]; 8 [labelType="html" label=" Project "]; 9 [labelType="html" label="Filter number of output rows: 3,508"]; 10 [labelType="html" label="ColumnarToRow number of output rows: 9,522 number of input batches: 3"]; } 11 [labelType="html" label="Scan parquet number of files read: 1 scan time total (min, med, max (stageId: taskId)) 238 ms (3 ms, 3 ms, 232 ms (stage 380.0: task 361)) metadata time: 0 ms size of files read: 9.4 MiB number of output rows: 9,522"]; 2->0; 3->2; 5->3; 6->5; 7->6; 8->7; 9->8; 10->9; 11->10; }

AdaptiveSparkPlan isFinalPlan=true

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

WholeStageCodegen (2)

Exchange SinglePartition, ENSURE_REQUIREMENTS, [plan_id=5381]

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

Project

Generate explode(COL_CBB80C89_C2E2_4CAE_9E96_1384D3814850#31743), false, [COL_A504A8EC_44DA_47A8_BC01_8F3D6A00E326#31763]

Project [str_extract_by_regex(str_replace_extend(BODY_3253#31494, [], [.]), <p[^>]*>(.*?)<\/p>) AS COL_CBB80C89_C2E2_4CAE_9E96_1384D3814850#31743]

Filter ((size(str_extract_by_regex(str_replace_extend(BODY_3253#31494, [], [.]), <p[^>]*>(.*?)<\/p>), true) > 0) AND isnotnull(str_extract_by_regex(str_replace_extend(BODY_3253#31494, [], [.]), <p[^>]*>(.*?)<\/p>)))

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [BODY_3253#31494] Batched: true, DataFilters: [(size(str_extract_by_regex(str_replace_extend(BODY_3253#31494, [], [.]), <p[^>]*>(.*?)<\..., Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/uet/DOCUMENT_3240], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<BODY_3253:string>

Details

== Physical Plan ==
AdaptiveSparkPlan (18)
+- == Final Plan ==
   * HashAggregate (10)
   +- ShuffleQueryStage (9), Statistics(sizeInBytes=48.0 B, rowCount=3)
      +- Exchange (8)
         +- * HashAggregate (7)
            +- * Project (6)
               +- * Generate (5)
                  +- * Project (4)
                     +- * Filter (3)
                        +- * ColumnarToRow (2)
                           +- Scan parquet  (1)
+- == Initial Plan ==
   HashAggregate (17)
   +- Exchange (16)
      +- HashAggregate (15)
         +- Project (14)
            +- Generate (13)
               +- Project (12)
                  +- Filter (11)
                     +- Scan parquet  (1)


(1) Scan parquet 
Output [1]: [BODY_3253#31494]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/uet/DOCUMENT_3240]
ReadSchema: struct<BODY_3253:string>

(2) ColumnarToRow [codegen id : 1]
Input [1]: [BODY_3253#31494]

(3) Filter [codegen id : 1]
Input [1]: [BODY_3253#31494]
Condition : ((size(str_extract_by_regex(str_replace_extend(BODY_3253#31494, [</p>], [</p>.]), <p[^>]*>(.*?)<\/p>), true) > 0) AND isnotnull(str_extract_by_regex(str_replace_extend(BODY_3253#31494, [</p>], [</p>.]), <p[^>]*>(.*?)<\/p>)))

(4) Project [codegen id : 1]
Output [1]: [str_extract_by_regex(str_replace_extend(BODY_3253#31494, [</p>], [</p>.]), <p[^>]*>(.*?)<\/p>) AS COL_CBB80C89_C2E2_4CAE_9E96_1384D3814850#31743]
Input [1]: [BODY_3253#31494]

(5) Generate [codegen id : 1]
Input [1]: [COL_CBB80C89_C2E2_4CAE_9E96_1384D3814850#31743]
Arguments: explode(COL_CBB80C89_C2E2_4CAE_9E96_1384D3814850#31743), false, [COL_A504A8EC_44DA_47A8_BC01_8F3D6A00E326#31763]

(6) Project [codegen id : 1]
Output: []
Input [1]: [COL_A504A8EC_44DA_47A8_BC01_8F3D6A00E326#31763]

(7) HashAggregate [codegen id : 1]
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#31858L]
Results [1]: [count#31859L]

(8) Exchange
Input [1]: [count#31859L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=5381]

(9) ShuffleQueryStage
Output [1]: [count#31859L]
Arguments: 0

(10) HashAggregate [codegen id : 2]
Input [1]: [count#31859L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#31855L]
Results [1]: [count(1)#31855L AS count#31856L]

(11) Filter
Input [1]: [BODY_3253#31494]
Condition : ((size(str_extract_by_regex(str_replace_extend(BODY_3253#31494, [</p>], [</p>.]), <p[^>]*>(.*?)<\/p>), true) > 0) AND isnotnull(str_extract_by_regex(str_replace_extend(BODY_3253#31494, [</p>], [</p>.]), <p[^>]*>(.*?)<\/p>)))

(12) Project
Output [1]: [str_extract_by_regex(str_replace_extend(BODY_3253#31494, [</p>], [</p>.]), <p[^>]*>(.*?)<\/p>) AS COL_CBB80C89_C2E2_4CAE_9E96_1384D3814850#31743]
Input [1]: [BODY_3253#31494]

(13) Generate
Input [1]: [COL_CBB80C89_C2E2_4CAE_9E96_1384D3814850#31743]
Arguments: explode(COL_CBB80C89_C2E2_4CAE_9E96_1384D3814850#31743), false, [COL_A504A8EC_44DA_47A8_BC01_8F3D6A00E326#31763]

(14) Project
Output: []
Input [1]: [COL_A504A8EC_44DA_47A8_BC01_8F3D6A00E326#31763]

(15) HashAggregate
Input: []
Keys: []
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#31858L]
Results [1]: [count#31859L]

(16) Exchange
Input [1]: [count#31859L]
Arguments: SinglePartition, ENSURE_REQUIREMENTS, [plan_id=5353]

(17) HashAggregate
Input [1]: [count#31859L]
Keys: []
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#31855L]
Results [1]: [count(1)#31855L AS count#31856L]

(18) AdaptiveSparkPlan
Output [1]: [count#31856L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

Name	Value
spark.sql.optimizer.nestedPredicatePushdown.supportedFileSources	parquet,orc,geoparquet