SP1 - Details for Query 607

Submitted Time: 2026/06/25 16:59:41
Duration: 42 ms
Succeeded Jobs: 823

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

digraph G { 0 [labelType="html" label=" CollectLimit "]; subgraph cluster1 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: 2 ms"; 2 [labelType="html" label=" Project "]; 3 [labelType="html" label=" Project "]; 4 [labelType="html" label=" Project "]; 5 [labelType="html" label="ColumnarToRow number of output rows: 1 number of input batches: 1"]; } 6 [labelType="html" label="Scan parquet number of files read: 1 scan time: 2 ms metadata time: 0 ms size of files read: 4.1 KiB number of output rows: 1"]; 2->0; 3->2; 4->3; 5->4; 6->5; }

CollectLimit 500000

Project [str_if_with_rule(CASE WHEN isnull(COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966) THEN false ELSE (COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966 <= 3) END, str_join(array(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, €), ), str_if_with_rule(CASE WHEN isnull(((COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966 >= 4) AND (COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966 <= 6))) THEN false ELSE ((COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966 >= 4) AND (COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966 <= 6)) END, str_join(array(str_extract_middle(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, 1, int_diff(array(6, COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966))), str_extract(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, RIGHT, 3), €, ), ), str_if_with_rule(CASE WHEN isnull(COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966) THEN false ELSE (COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966 > 6) END, str_join(array(str_extract_middle(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, 1, int_diff(array(COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966, 6))), str_extract_middle(str_extract(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, RIGHT, 6), 1, 3), str_extract(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, RIGHT, 3), €, ), ), ))) AS COL_B4F3E385_2ACD_4F69_B648_7E456D4A1BC2#245973]

Project [COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, str_size(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956) AS COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966]

Project [dec_to_str_by_pattern(COL_A09D6305_40BD_4268_BD4F_705E3F1F514E#245900, ##,##) AS COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956]

ColumnarToRow

WholeStageCodegen (1)

FileScan parquet [COL_A09D6305_40BD_4268_BD4F_705E3F1F514E#245900] Batched: true, DataFilters: [], Format: Parquet, Location: InMemoryFileIndex(1 paths)[file:/data/output/cache/parquet/datablock/e4fb2919_b282_413f_a4b3_1e14..., PartitionFilters: [], PushedFilters: [], ReadSchema: struct<COL_A09D6305_40BD_4268_BD4F_705E3F1F514E:double>

Details

== Physical Plan ==
CollectLimit (6)
+- * Project (5)
   +- * Project (4)
      +- * Project (3)
         +- * ColumnarToRow (2)
            +- Scan parquet  (1)


(1) Scan parquet 
Output [1]: [COL_A09D6305_40BD_4268_BD4F_705E3F1F514E#245900]
Batched: true
Location: InMemoryFileIndex [file:/data/output/cache/parquet/datablock/e4fb2919_b282_413f_a4b3_1e14286427af]
ReadSchema: struct<COL_A09D6305_40BD_4268_BD4F_705E3F1F514E:double>

(2) ColumnarToRow [codegen id : 1]
Input [1]: [COL_A09D6305_40BD_4268_BD4F_705E3F1F514E#245900]

(3) Project [codegen id : 1]
Output [1]: [dec_to_str_by_pattern(COL_A09D6305_40BD_4268_BD4F_705E3F1F514E#245900, ##,##) AS COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956]
Input [1]: [COL_A09D6305_40BD_4268_BD4F_705E3F1F514E#245900]

(4) Project [codegen id : 1]
Output [2]: [COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, str_size(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956) AS COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966]
Input [1]: [COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956]

(5) Project [codegen id : 1]
Output [1]: [str_if_with_rule(CASE WHEN isnull(COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966) THEN false ELSE (COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966 <= 3) END, str_join(array(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, €),  ), str_if_with_rule(CASE WHEN isnull(((COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966 >= 4) AND (COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966 <= 6))) THEN false ELSE ((COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966 >= 4) AND (COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966 <= 6)) END, str_join(array(str_extract_middle(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, 1, int_diff(array(6, COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966))), str_extract(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, RIGHT, 3), €, ),  ), str_if_with_rule(CASE WHEN isnull(COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966) THEN false ELSE (COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966 > 6) END, str_join(array(str_extract_middle(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, 1, int_diff(array(COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966, 6))), str_extract_middle(str_extract(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, RIGHT, 6), 1, 3), str_extract(COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, RIGHT, 3), €, ),  ), ))) AS COL_B4F3E385_2ACD_4F69_B648_7E456D4A1BC2#245973]
Input [2]: [COL_C2719EA6_BCF8_4ED2_8542_BB839306D401#245956, COL_E8FFE9E3_7AC7_4DE6_AF93_8E30104F9472#245966]

(6) CollectLimit
Input [1]: [COL_B4F3E385_2ACD_4F69_B648_7E456D4A1BC2#245973]
Arguments: 500000

SQL / DataFrame Properties

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