SP1 - Details for Query 140

Submitted Time: 2026/07/24 12:30:22
Duration: 0.7 s
Succeeded Jobs: 189 195

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: 18 ms"; 3 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 1 ms peak memory: 16.3 MiB number of output rows: 5 number of sort fallback tasks: 0 avg hash probes per key: 1"]; } 4 [labelType="html" label="AQEShuffleRead number of partitions: 1 partition data size: 304.0 B number of coalesced partitions: 1"]; 5 [labelType="html" label="Exchange shuffle records written: 5 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: 5 local bytes read: 300.0 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: 160.0 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: 300.0 B"]; subgraph cluster6 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 36 ms"; 7 [labelType="html" label="HashAggregate spill size: 0.0 B time in aggregation build: 12 ms peak memory: 256.0 KiB number of output rows: 5 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: 933"]; 10 [labelType="html" label="ColumnarToRow number of output rows: 1,745 number of input batches: 1"]; } 11 [labelType="html" label="Scan parquet number of files read: 1 scan time: 4 ms metadata time: 0 ms size of files read: 56.2 KiB number of output rows: 1,745"]; 1->0; 3->1; 4->3; 5->4; 7->5; 8->7; 9->8; 10->9; 11->10; }

AdaptiveSparkPlan isFinalPlan=true

TakeOrderedAndProject(limit=500000, orderBy=[COL_31624CCE_34AF_41D2_89A5_9358A2EF48D9#14190L DESC NULLS LAST], output=[COL_ABA5D8BE_2786_4E55_AF06_24037DBC6FF6#14189,COL_31624CCE_34AF_41D2_89A5_9358A2EF48D9#14190L])

HashAggregate(keys=[COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060], functions=[count(1)])

WholeStageCodegen (2)

AQEShuffleRead coalesced

Exchange hashpartitioning(COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060, 10), ENSURE_REQUIREMENTS, [plan_id=5593]

HashAggregate(keys=[COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060], functions=[partial_count(1)])

Project [str_extract_by_str(COL_CE32BA7E_7F3E_45CB_9B4F_02D94DF188B8#13875, -, LEFT) AS COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060]

Filter NOT CASE WHEN isnull(Contains(COL_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874, Proposition)) THEN false ELSE Contains(COL_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874, Proposition) END

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874,COL_CE32BA7E_7F3E_45CB_9B4F_02D94DF188B8#13875] Batched: true, DataFilters: [NOT CASE WHEN isnull(Contains(COL_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874, Proposition)) THEN..., Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/10_CONSOLIDATIO_223871], PartitionFilters: [], PushedFilters: [], ReadSchema: struct<COL_F8F4501B_9215_45B8_8482_A6D00C7E1219:string,COL_CE32BA7E_7F3E_45CB_9B4F_02D94DF188B8:s...

Details

== Physical Plan ==
AdaptiveSparkPlan (17)
+- == Final Plan ==
   TakeOrderedAndProject (10)
   +- * HashAggregate (9)
      +- AQEShuffleRead (8)
         +- ShuffleQueryStage (7), Statistics(sizeInBytes=160.0 B, rowCount=5)
            +- 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_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874, COL_CE32BA7E_7F3E_45CB_9B4F_02D94DF188B8#13875]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/10_CONSOLIDATIO_223871]
ReadSchema: struct<COL_F8F4501B_9215_45B8_8482_A6D00C7E1219:string,COL_CE32BA7E_7F3E_45CB_9B4F_02D94DF188B8:string>

(2) ColumnarToRow [codegen id : 1]
Input [2]: [COL_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874, COL_CE32BA7E_7F3E_45CB_9B4F_02D94DF188B8#13875]

(3) Filter [codegen id : 1]
Input [2]: [COL_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874, COL_CE32BA7E_7F3E_45CB_9B4F_02D94DF188B8#13875]
Condition : NOT CASE WHEN isnull(Contains(COL_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874, Proposition)) THEN false ELSE Contains(COL_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874, Proposition) END

(4) Project [codegen id : 1]
Output [1]: [str_extract_by_str(COL_CE32BA7E_7F3E_45CB_9B4F_02D94DF188B8#13875, -, LEFT) AS COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060]
Input [2]: [COL_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874, COL_CE32BA7E_7F3E_45CB_9B4F_02D94DF188B8#13875]

(5) HashAggregate [codegen id : 1]
Input [1]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060]
Keys [1]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#14243L]
Results [2]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060, count#14244L]

(6) Exchange
Input [2]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060, count#14244L]
Arguments: hashpartitioning(COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060, 10), ENSURE_REQUIREMENTS, [plan_id=5593]

(7) ShuffleQueryStage
Output [2]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060, count#14244L]
Arguments: 0

(8) AQEShuffleRead
Input [2]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060, count#14244L]
Arguments: coalesced

(9) HashAggregate [codegen id : 2]
Input [2]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060, count#14244L]
Keys [1]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#14082L]
Results [2]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060 AS COL_ABA5D8BE_2786_4E55_AF06_24037DBC6FF6#14189, count(1)#14082L AS COL_31624CCE_34AF_41D2_89A5_9358A2EF48D9#14190L]

(10) TakeOrderedAndProject
Input [2]: [COL_ABA5D8BE_2786_4E55_AF06_24037DBC6FF6#14189, COL_31624CCE_34AF_41D2_89A5_9358A2EF48D9#14190L]
Arguments: 500000, [COL_31624CCE_34AF_41D2_89A5_9358A2EF48D9#14190L DESC NULLS LAST], [COL_ABA5D8BE_2786_4E55_AF06_24037DBC6FF6#14189, COL_31624CCE_34AF_41D2_89A5_9358A2EF48D9#14190L]

(11) Filter
Input [2]: [COL_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874, COL_CE32BA7E_7F3E_45CB_9B4F_02D94DF188B8#13875]
Condition : NOT CASE WHEN isnull(Contains(COL_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874, Proposition)) THEN false ELSE Contains(COL_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874, Proposition) END

(12) Project
Output [1]: [str_extract_by_str(COL_CE32BA7E_7F3E_45CB_9B4F_02D94DF188B8#13875, -, LEFT) AS COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060]
Input [2]: [COL_F8F4501B_9215_45B8_8482_A6D00C7E1219#13874, COL_CE32BA7E_7F3E_45CB_9B4F_02D94DF188B8#13875]

(13) HashAggregate
Input [1]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060]
Keys [1]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060]
Functions [1]: [partial_count(1)]
Aggregate Attributes [1]: [count#14243L]
Results [2]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060, count#14244L]

(14) Exchange
Input [2]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060, count#14244L]
Arguments: hashpartitioning(COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060, 10), ENSURE_REQUIREMENTS, [plan_id=5515]

(15) HashAggregate
Input [2]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060, count#14244L]
Keys [1]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060]
Functions [1]: [count(1)]
Aggregate Attributes [1]: [count(1)#14082L]
Results [2]: [COL_E8C58C8A_101A_4AC4_B888_FE8878C536D3#14060 AS COL_ABA5D8BE_2786_4E55_AF06_24037DBC6FF6#14189, count(1)#14082L AS COL_31624CCE_34AF_41D2_89A5_9358A2EF48D9#14190L]

(16) TakeOrderedAndProject
Input [2]: [COL_ABA5D8BE_2786_4E55_AF06_24037DBC6FF6#14189, COL_31624CCE_34AF_41D2_89A5_9358A2EF48D9#14190L]
Arguments: 500000, [COL_31624CCE_34AF_41D2_89A5_9358A2EF48D9#14190L DESC NULLS LAST], [COL_ABA5D8BE_2786_4E55_AF06_24037DBC6FF6#14189, COL_31624CCE_34AF_41D2_89A5_9358A2EF48D9#14190L]

(17) AdaptiveSparkPlan
Output [2]: [COL_ABA5D8BE_2786_4E55_AF06_24037DBC6FF6#14189, COL_31624CCE_34AF_41D2_89A5_9358A2EF48D9#14190L]
Arguments: isFinalPlan=true

SQL / DataFrame Properties

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