SP1 - Details for Query 868

Submitted Time: 2026/06/30 08:49:03
Duration: 0.4 s
Succeeded Jobs: 1140 1141

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

digraph G { 0 [labelType="html" label=" AdaptiveSparkPlan "]; 1 [labelType="html" label=" TakeOrderedAndProject "]; subgraph cluster2 { isCluster="true"; label="WholeStageCodegen (2)\n \nduration: 16 ms"; 3 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 0 ms peak memory: 256.0 KiB number of output rows: 17 number of sort fallback tasks: 0 avg hash probes per key: 0"]; } 4 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 946.0 B number of coalesced partitions: 1"]; 5 [labelType="html" label="Exchange shuffle records written: 17 local merged chunks fetched: 0 shuffle write time: 1 ms 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: 17 local bytes read: 902.0 B fetch wait time: 0 ms remote bytes read: 0.0 B merged fetch fallback count: 0 local blocks read: 1 remote merged chunks fetched: 0 remote blocks read: 0 data size: 576.0 B local merged bytes read: 0.0 B number of partitions: 10 remote reqs duration: 0 ms remote bytes read to disk: 0.0 B shuffle bytes written: 902.0 B"]; subgraph cluster6 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 22 ms"; 7 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 4 ms peak memory: 256.0 KiB number of output rows: 17 number of sort fallback tasks: 0 avg hash probes per key: 0"]; 8 [labelType="html" label=" Project "]; 9 [labelType="html" label="Filter number of output rows: 17"]; 10 [labelType="html" label="ColumnarToRow number of output rows: 17 number of input batches: 1"]; } 11 [labelType="html" label="Scan parquet number of files read: 1 scan time: 3 ms metadata time: 0 ms size of files read: 5.0 KiB number of output rows: 17"]; 1->0; 3->1; 4->3; 5->4; 7->5; 8->7; 9->8; 10->9; 11->10; }

AdaptiveSparkPlan isFinalPlan=true

TakeOrderedAndProject(limit=100, orderBy=[COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472 ASC NULLS FIRST], output=[COL_0131C2C2_7517_48A5_9A39_CBA1C65A8B09#308487])

HashAggregate(keys=[COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472], functions=[])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472, 10), ENSURE_REQUIREMENTS, [plan_id=42285]

HashAggregate(keys=[COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472], functions=[])

Project [str_concat(array(COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330, (, bigint_to_str(COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L), ))) AS COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]

Filter CASE WHEN isnull(Contains(str_remove_accent(upper(str_remove_accent(str_concat(array(COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330, (, bigint_to_str(COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L), )))))), )) THEN false ELSE Contains(str_remove_accent(upper(str_remove_accent(str_concat(array(COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330, (, bigint_to_str(COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L), )))))), ) END

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L,COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330] Batched: true, DataFilters: [CASE WHEN isnull(Contains(str_remove_accent(upper(str_remove_accent(str_concat(array(COL_A3EE2AD..., Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/DB_META_ALL_ANA_398939], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8:bigint,COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615:s...

Details

== Physical Plan ==
AdaptiveSparkPlan (17)
+- == Final Plan ==
   TakeOrderedAndProject (10)
   +- * HashAggregate (9)
      +- AQEShuffleRead (8)
         +- ShuffleQueryStage (7), Statistics(sizeInBytes=576.0 B, rowCount=17)
            +- Exchange (6)
               +- * HashAggregate (5)
                  +- * Project (4)
                     +- * Filter (3)
                        +- * ColumnarToRow (2)
                           +- Scan parquet  (1)
+- == Initial Plan ==
   TakeOrderedAndProject (16)
   +- HashAggregate (15)
      +- Exchange (14)
         +- HashAggregate (13)
            +- Project (12)
               +- Filter (11)
                  +- Scan parquet  (1)


(1) Scan parquet 
Output [2]: [COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L, COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/DB_META_ALL_ANA_398939]
ReadSchema: struct<COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8:bigint,COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615:string>

(2) ColumnarToRow [codegen id : 1]
Input [2]: [COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L, COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330]

(3) Filter [codegen id : 1]
Input [2]: [COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L, COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330]
Condition : CASE WHEN isnull(Contains(str_remove_accent(upper(str_remove_accent(str_concat(array(COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330,  (, bigint_to_str(COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L), )))))), )) THEN false ELSE Contains(str_remove_accent(upper(str_remove_accent(str_concat(array(COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330,  (, bigint_to_str(COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L), )))))), ) END

(4) Project [codegen id : 1]
Output [1]: [str_concat(array(COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330,  (, bigint_to_str(COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L), ))) AS COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Input [2]: [COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L, COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330]

(5) HashAggregate [codegen id : 1]
Input [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Keys [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Functions: []
Aggregate Attributes: []
Results [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]

(6) Exchange
Input [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Arguments: hashpartitioning(COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472, 10), ENSURE_REQUIREMENTS, [plan_id=42285]

(7) ShuffleQueryStage
Output [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Arguments: 0

(8) AQEShuffleRead
Input [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Arguments: coalesced

(9) HashAggregate [codegen id : 2]
Input [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Keys [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Functions: []
Aggregate Attributes: []
Results [2]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472 AS COL_0131C2C2_7517_48A5_9A39_CBA1C65A8B09#308487, COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]

(10) TakeOrderedAndProject
Input [2]: [COL_0131C2C2_7517_48A5_9A39_CBA1C65A8B09#308487, COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Arguments: 100, [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472 ASC NULLS FIRST], [COL_0131C2C2_7517_48A5_9A39_CBA1C65A8B09#308487]

(11) Filter
Input [2]: [COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L, COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330]
Condition : CASE WHEN isnull(Contains(str_remove_accent(upper(str_remove_accent(str_concat(array(COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330,  (, bigint_to_str(COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L), )))))), )) THEN false ELSE Contains(str_remove_accent(upper(str_remove_accent(str_concat(array(COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330,  (, bigint_to_str(COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L), )))))), ) END

(12) Project
Output [1]: [str_concat(array(COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330,  (, bigint_to_str(COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L), ))) AS COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Input [2]: [COL_3771B488_98F1_4DA6_9E11_BE7256EEF1E8#308323L, COL_A3EE2AD5_5273_4D7E_B9CA_1C5E7D352615#308330]

(13) HashAggregate
Input [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Keys [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Functions: []
Aggregate Attributes: []
Results [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]

(14) Exchange
Input [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Arguments: hashpartitioning(COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472, 10), ENSURE_REQUIREMENTS, [plan_id=42262]

(15) HashAggregate
Input [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Keys [1]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Functions: []
Aggregate Attributes: []
Results [2]: [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472 AS COL_0131C2C2_7517_48A5_9A39_CBA1C65A8B09#308487, COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]

(16) TakeOrderedAndProject
Input [2]: [COL_0131C2C2_7517_48A5_9A39_CBA1C65A8B09#308487, COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472]
Arguments: 100, [COL_9FF47E9C_3D2F_4C94_B21C_0653E1D10E44#308472 ASC NULLS FIRST], [COL_0131C2C2_7517_48A5_9A39_CBA1C65A8B09#308487]

(17) AdaptiveSparkPlan
Output [1]: [COL_0131C2C2_7517_48A5_9A39_CBA1C65A8B09#308487]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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