Show the Stage ID and Task ID that corresponds to the max metric
digraph G {
0 [labelType="html" label="<br><b>CollectLimit</b><br><br>"];
subgraph cluster1 {
isCluster="true";
label="WholeStageCodegen (1)\n \nduration: 50 ms";
2 [labelType="html" label="<br><b>Project</b><br><br>"];
3 [labelType="html" label="<b>ColumnarToRow</b><br><br>number of output rows: 717<br>number of input batches: 1"];
}
4 [labelType="html" label="<b>Scan parquet </b><br><br>number of files read: 1<br>scan time: 8 ms<br>metadata time: 0 ms<br>size of files read: 26.2 KiB<br>number of output rows: 717"];
2->0;
3->2;
4->3;
}
5
CollectLimit 1500
Project [VISIT_ID_3343#9335 AS COL_EEA9697B_DB68_4A22_8733_70F35E85FA8C#9429, PATIENT_ID_3344#9333 AS COL_8859F9BF_E9D0_49C6_AD56_9C140D4C38A1#9430, IN_DATE_3345#9327 AS COL_AA4B3BC4_44A1_47D3_AC4B_C41D5CB3B3E9#9431, OUT_DATE_3346#9330 AS COL_F89F7AFE_9225_468C_A09B_7E0D4F0CD71B#9432, IN_MODE_3347#9328 AS COL_058F9F93_2D83_40ED_B3F6_4CAE6CD3C909#9433, OUT_MODE_3348#9331 AS COL_6514FE18_2F15_46F7_BE9B_8C8A1CDED5B0#9434, IN_UNIT_3349#9329 AS COL_0C85CE96_902F_49B0_8699_B1D8041E9741#9435, OUT_UNIT_3350#9332 AS COL_93D07A84_DAB1_4601_8776_58638D68C63B#9436, VISIT_TYPE_3351#9336 AS COL_69F7D2CB_3582_450F_B81C_F35E14BD2F3A#9437, CHAMP_PMSI_3352#9325 AS COL_8DD6299D_F88E_4923_BA4A_AA5963BBA243#9438, UNIT_PATH_3353#9334 AS COL_8F292832_9A81_4CB6_A3E8_AAF5E0E2B9D1#9439, staticinvoke(class org.apache.spark.sql.catalyst.util.CharVarcharCodegenUtils, StringType, readSidePadding, EMERGENCY_3354#9326, 1, true, false, true) AS COL_119B8687_79BA_47AC_A253_99B3F514F94F#9440, CANCELED_3355#9324 AS COL_7A51C905_886C_4162_94AE_BCBA7820952A#9441, str_join(array(IN_UNIT_3349#9329, OUT_UNIT_3350#9332), >) AS COL_163AB4E6_D7B0_4397_BF6B_992AF7938586#9483]