NasaLogSparkStreaming - Details for Query 19

Details for Query 19

Submitted Time: 2024/12/12 00:10:02
Duration: 14 s
Succeeded Jobs: 12 13

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

digraph G { 0 [labelType="html" label=" WriteToDataSourceV2 "]; subgraph cluster1 { isCluster="true"; label="WholeStageCodegen (7)\n \nduration: total (min, med, max (stageId: taskId))\n11 ms (0 ms, 1 ms, 2 ms (stage 34.0: task 2851))"; 2 [labelType="html" label="Sort sort time total (min, med, max (stageId: taskId)) 0 ms (0 ms, 0 ms, 0 ms (stage 34.0: task 2850)) peak memory total (min, med, max (stageId: taskId)) 704.8 MiB (64.0 KiB, 64.1 MiB, 64.1 MiB (stage 34.0: task 2850)) spill size total (min, med, max (stageId: taskId)) 0.0 B (0.0 B, 0.0 B, 0.0 B (stage 34.0: task 2850))"]; } 3 [labelType="html" label="Exchange shuffle records written: 15 shuffle write time total (min, med, max (stageId: taskId)) 9 ms (0 ms, 0 ms, 1 ms (stage 33.0: task 2831)) records read: 15 local bytes read total (min, med, max (stageId: taskId)) 1472.0 B (0.0 B, 107.0 B, 346.0 B (stage 34.0: task 2860)) fetch wait time total (min, med, max (stageId: taskId)) 1 ms (0 ms, 0 ms, 1 ms (stage 34.0: task 2858)) remote bytes read total (min, med, max (stageId: taskId)) 115.0 B (0.0 B, 0.0 B, 115.0 B (stage 34.0: task 2858)) local blocks read: 14 remote blocks read: 1 data size total (min, med, max (stageId: taskId)) 1096.0 B (0.0 B, 0.0 B, 88.0 B (stage 33.0: task 2661)) shuffle bytes written total (min, med, max (stageId: taskId)) 1587.0 B (0.0 B, 0.0 B, 123.0 B (stage 33.0: task 2661))"]; subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (6)\n \nduration: total (min, med, max (stageId: taskId))\n461 ms (0 ms, 0 ms, 35 ms (stage 33.0: task 2782))"; 5 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 37 ms (0 ms, 0 ms, 31 ms (stage 33.0: task 2782)) peak memory total (min, med, max (stageId: taskId)) 2020.0 MiB (256.0 KiB, 256.0 KiB, 64.3 MiB (stage 33.0: task 2661)) number of output rows: 30 avg hash probe bucket list iters (min, med, max (stageId: taskId)): (1, 1, 1 (stage 33.0: task 2661))"]; } 6 [labelType="html" label="StateStoreSave number of total state rows: 30 memory used by state total (min, med, max (stageId: taskId)) 130.6 KiB (232.0 B, 400.0 B, 744.0 B (stage 31.0: task 2461)) count of cache hit on states cache in provider: 9,200 number of output rows: 30 estimated size of state only on current version total (min, med, max (stageId: taskId)) 41.0 KiB (88.0 B, 88.0 B, 328.0 B (stage 33.0: task 2661)) time to commit changes total (min, med, max (stageId: taskId)) 17.7 s (24 ms, 32 ms, 104 ms (stage 33.0: task 2722)) time to remove total (min, med, max (stageId: taskId)) 0 ms (0 ms, 0 ms, 0 ms (stage 33.0: task 2650)) number of updated state rows: 6 time to update total (min, med, max (stageId: taskId)) 306 ms (0 ms, 0 ms, 56 ms (stage 33.0: task 2800))"]; subgraph cluster7 { isCluster="true"; label="WholeStageCodegen (5)\n \nduration: total (min, med, max (stageId: taskId))\n308 ms (0 ms, 0 ms, 56 ms (stage 33.0: task 2800))"; 8 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 58 ms (0 ms, 0 ms, 32 ms (stage 33.0: task 2800)) peak memory total (min, med, max (stageId: taskId)) 484.0 MiB (256.0 KiB, 256.0 KiB, 64.3 MiB (stage 33.0: task 2661)) number of output rows: 6 avg hash probe bucket list iters (min, med, max (stageId: taskId)): (1, 1, 1 (stage 33.0: task 2661))"]; } 9 [labelType="html" label="StateStoreRestore number of output rows: 6"]; subgraph cluster10 { isCluster="true"; label="WholeStageCodegen (4)\n \nduration: total (min, med, max (stageId: taskId))\n965 ms (0 ms, 1 ms, 41 ms (stage 33.0: task 2800))"; 11 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 17 ms (0 ms, 0 ms, 5 ms (stage 33.0: task 2800)) peak memory total (min, med, max (stageId: taskId)) 484.0 MiB (256.0 KiB, 256.0 KiB, 64.3 MiB (stage 33.0: task 2661)) number of output rows: 6 avg hash probe bucket list iters (min, med, max (stageId: taskId)): (1, 1, 1 (stage 33.0: task 2661))"]; } 12 [labelType="html" label="Exchange shuffle records written: 6 shuffle write time total (min, med, max (stageId: taskId)) 7 ms (2 ms, 4 ms, 4 ms (stage 30.0: task 2448)) records read: 12 local bytes read total (min, med, max (stageId: taskId)) 738.0 B (0.0 B, 0.0 B, 123.0 B (stage 33.0: task 2661)) fetch wait time total (min, med, max (stageId: taskId)) 7 ms (0 ms, 0 ms, 4 ms (stage 31.0: task 2518)) remote bytes read total (min, med, max (stageId: taskId)) 734.0 B (0.0 B, 0.0 B, 123.0 B (stage 33.0: task 2661)) local blocks read: 6 remote blocks read: 6 data size total (min, med, max (stageId: taskId)) 528.0 B (264.0 B, 264.0 B, 264.0 B (stage 30.0: task 2449)) shuffle bytes written total (min, med, max (stageId: taskId)) 736.0 B (368.0 B, 368.0 B, 368.0 B (stage 30.0: task 2449))"]; subgraph cluster13 { isCluster="true"; label="WholeStageCodegen (3)\n \nduration: total (min, med, max (stageId: taskId))\n14 ms (4 ms, 10 ms, 10 ms (stage 30.0: task 2448))"; 14 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 2 ms (1 ms, 1 ms, 1 ms (stage 30.0: task 2449)) peak memory total (min, med, max (stageId: taskId)) 128.5 MiB (64.3 MiB, 64.3 MiB, 64.3 MiB (stage 30.0: task 2449)) number of output rows: 6 avg hash probe bucket list iters (min, med, max (stageId: taskId)): (1, 1, 1 (stage 30.0: task 2449))"]; 15 [labelType="html" label=" Project "]; 16 [labelType="html" label="Filter number of output rows: 28"]; 17 [labelType="html" label="Expand number of output rows: 28"]; 18 [labelType="html" label=" Project "]; } 19 [labelType="html" label=" EventTimeWatermark "]; subgraph cluster20 { isCluster="true"; label="WholeStageCodegen (2)\n \nduration: total (min, med, max (stageId: taskId))\n9 ms (2 ms, 7 ms, 7 ms (stage 30.0: task 2448))"; 21 [labelType="html" label=" Project "]; } 22 [labelType="html" label="Generate number of output rows: 14"]; subgraph cluster23 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n11 ms (3 ms, 8 ms, 8 ms (stage 30.0: task 2448))"; 24 [labelType="html" label=" Project "]; } 25 [labelType="html" label="MicroBatchScan number of output rows: 14"]; 2->0; 3->2; 5->3; 6->5; 8->6; 9->8; 11->9; 12->11; 14->12; 15->14; 16->15; 17->16; 18->17; 19->18; 21->19; 22->21; 24->22; 25->24; }

WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@7501389

Sort [total_bytes#68 DESC NULLS LAST], true, 0

WholeStageCodegen (7)

Exchange rangepartitioning(total_bytes#68 DESC NULLS LAST, 200), true, [id=#769]

HashAggregate(keys=[window#69-T3000ms, hostname#12], functions=[sum(cast(bytes#47 as double))])

WholeStageCodegen (6)

StateStoreSave [window#69-T3000ms, hostname#12], state info [ checkpoint = file:/tmp/spark-checkpoints/state, runId = 8a4155da-36fe-4885-93fd-d46a110c0886, opId = 0, ver = 6, numPartitions = 200], Complete, 1733962184898, 2

HashAggregate(keys=[window#69-T3000ms, hostname#12], functions=[merge_sum(cast(bytes#47 as double))])

WholeStageCodegen (5)

StateStoreRestore [window#69-T3000ms, hostname#12], state info [ checkpoint = file:/tmp/spark-checkpoints/state, runId = 8a4155da-36fe-4885-93fd-d46a110c0886, opId = 0, ver = 6, numPartitions = 200], 2

HashAggregate(keys=[window#69-T3000ms, hostname#12], functions=[merge_sum(cast(bytes#47 as double))])

WholeStageCodegen (4)

Exchange hashpartitioning(window#69-T3000ms, hostname#12, 200), true, [id=#757]

HashAggregate(keys=[window#69-T3000ms, hostname#12], functions=[partial_sum(cast(bytes#47 as double))])

Project [window#69-T3000ms, hostname#12, bytes#47]

Filter (((isnotnull(timestamp#1-T3000ms) AND isnotnull(window#69-T3000ms)) AND (timestamp#1-T3000ms >= window#69-T3000ms.start)) AND (timestamp#1-T3000ms < window#69-T3000ms.end))

Expand [ArrayBuffer(named_struct(start, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) + 1) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) END + 0) - 2) * 30000000) + 0), LongType, TimestampType), end, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) + 1) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) END + 0) - 2) * 30000000) + 60000000), LongType, TimestampType)), timestamp#1-T3000ms, hostname#12, bytes#47), ArrayBuffer(named_struct(start, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) + 1) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) END + 1) - 2) * 30000000) + 0), LongType, TimestampType), end, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) + 1) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) END + 1) - 2) * 30000000) + 60000000), LongType, TimestampType)), timestamp#1-T3000ms, hostname#12, bytes#47)], [window#69-T3000ms, timestamp#1-T3000ms, hostname#12, bytes#47]

Project [timestamp#1-T3000ms, split(logs#5, ,, -1)[1] AS hostname#12, split(logs#5, ,, -1)[6] AS bytes#47]

WholeStageCodegen (3)

EventTimeWatermark timestamp#1: timestamp, 3 seconds

Project [logs#5, timestamp#1]

WholeStageCodegen (2)

Generate explode(split(value#0, , -1)), [timestamp#1], false, [logs#5]

Project [value#0, timestamp#1]

WholeStageCodegen (1)

MicroBatchScan[value#0, timestamp#1] class org.apache.spark.sql.execution.streaming.sources.TextSocketTable$$anon$1

Details

== Parsed Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@7501389
+- Sort [total_bytes#68 DESC NULLS LAST], true
   +- Aggregate [window#69-T3000ms, hostname#12], [window#69-T3000ms AS window#57-T3000ms, hostname#12, sum(cast(bytes#47 as double)) AS total_bytes#68]
      +- Filter ((timestamp#1-T3000ms >= window#69-T3000ms.start) AND (timestamp#1-T3000ms < window#69-T3000ms.end))
         +- Expand [ArrayBuffer(named_struct(start, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) + cast(1 as bigint)) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) END + cast(0 as bigint)) - cast(2 as bigint)) * 30000000) + 0), LongType, TimestampType), end, precisetimestampconversion((((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) + cast(1 as bigint)) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) END + cast(0 as bigint)) - cast(2 as bigint)) * 30000000) + 0) + 60000000), LongType, TimestampType)), logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, method#23, url#30, responsecode#38, bytes#47), ArrayBuffer(named_struct(start, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) + cast(1 as bigint)) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) END + cast(1 as bigint)) - cast(2 as bigint)) * 30000000) + 0), LongType, TimestampType), end, precisetimestampconversion((((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) + cast(1 as bigint)) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) END + cast(1 as bigint)) - cast(2 as bigint)) * 30000000) + 0) + 60000000), LongType, TimestampType)), logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, method#23, url#30, responsecode#38, bytes#47)], [window#69-T3000ms, logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, method#23, url#30, responsecode#38, bytes#47]
            +- Project [logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, method#23, url#30, responsecode#38, split(logs#5, ,, -1)[6] AS bytes#47]
               +- Project [logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, method#23, url#30, split(logs#5, ,, -1)[5] AS responsecode#38]
                  +- Project [logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, method#23, split(logs#5, ,, -1)[4] AS url#30]
                     +- Project [logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, split(logs#5, ,, -1)[3] AS method#23]
                        +- Project [logs#5, timestamp#1-T3000ms, idx#8, hostname#12, split(logs#5, ,, -1)[2] AS time#17]
                           +- Project [logs#5, timestamp#1-T3000ms, idx#8, split(logs#5, ,, -1)[1] AS hostname#12]
                              +- Project [logs#5, timestamp#1-T3000ms, split(logs#5, ,, -1)[0] AS idx#8]
                                 +- EventTimeWatermark timestamp#1: timestamp, 3 seconds
                                    +- Project [logs#5, timestamp#1]
                                       +- Generate explode(split(value#0,  , -1)), false, [logs#5]
                                          +- StreamingDataSourceV2Relation [value#0, timestamp#1], org.apache.spark.sql.execution.streaming.sources.TextSocketTable$$anon$1@16f00bff, TextSocketV2[host: stream-emulator.data-science-tools.svc.cluster.local, port: 5551], 72, 86

== Analyzed Logical Plan ==

WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@7501389
+- Sort [total_bytes#68 DESC NULLS LAST], true
   +- Aggregate [window#69-T3000ms, hostname#12], [window#69-T3000ms AS window#57-T3000ms, hostname#12, sum(cast(bytes#47 as double)) AS total_bytes#68]
      +- Filter ((timestamp#1-T3000ms >= window#69-T3000ms.start) AND (timestamp#1-T3000ms < window#69-T3000ms.end))
         +- Expand [ArrayBuffer(named_struct(start, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) + cast(1 as bigint)) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) END + cast(0 as bigint)) - cast(2 as bigint)) * 30000000) + 0), LongType, TimestampType), end, precisetimestampconversion((((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) + cast(1 as bigint)) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) END + cast(0 as bigint)) - cast(2 as bigint)) * 30000000) + 0) + 60000000), LongType, TimestampType)), logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, method#23, url#30, responsecode#38, bytes#47), ArrayBuffer(named_struct(start, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) + cast(1 as bigint)) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) END + cast(1 as bigint)) - cast(2 as bigint)) * 30000000) + 0), LongType, TimestampType), end, precisetimestampconversion((((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) + cast(1 as bigint)) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / cast(30000000 as double))) END + cast(1 as bigint)) - cast(2 as bigint)) * 30000000) + 0) + 60000000), LongType, TimestampType)), logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, method#23, url#30, responsecode#38, bytes#47)], [window#69-T3000ms, logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, method#23, url#30, responsecode#38, bytes#47]
            +- Project [logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, method#23, url#30, responsecode#38, split(logs#5, ,, -1)[6] AS bytes#47]
               +- Project [logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, method#23, url#30, split(logs#5, ,, -1)[5] AS responsecode#38]
                  +- Project [logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, method#23, split(logs#5, ,, -1)[4] AS url#30]
                     +- Project [logs#5, timestamp#1-T3000ms, idx#8, hostname#12, time#17, split(logs#5, ,, -1)[3] AS method#23]
                        +- Project [logs#5, timestamp#1-T3000ms, idx#8, hostname#12, split(logs#5, ,, -1)[2] AS time#17]
                           +- Project [logs#5, timestamp#1-T3000ms, idx#8, split(logs#5, ,, -1)[1] AS hostname#12]
                              +- Project [logs#5, timestamp#1-T3000ms, split(logs#5, ,, -1)[0] AS idx#8]
                                 +- EventTimeWatermark timestamp#1: timestamp, 3 seconds
                                    +- Project [logs#5, timestamp#1]
                                       +- Generate explode(split(value#0,  , -1)), false, [logs#5]
                                          +- StreamingDataSourceV2Relation [value#0, timestamp#1], org.apache.spark.sql.execution.streaming.sources.TextSocketTable$$anon$1@16f00bff, TextSocketV2[host: stream-emulator.data-science-tools.svc.cluster.local, port: 5551], 72, 86

== Optimized Logical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@7501389
+- Sort [total_bytes#68 DESC NULLS LAST], true
   +- Aggregate [window#69-T3000ms, hostname#12], [window#69-T3000ms AS window#57-T3000ms, hostname#12, sum(cast(bytes#47 as double)) AS total_bytes#68]
      +- Project [window#69-T3000ms, hostname#12, bytes#47]
         +- Filter (((isnotnull(timestamp#1-T3000ms) AND isnotnull(window#69-T3000ms)) AND (timestamp#1-T3000ms >= window#69-T3000ms.start)) AND (timestamp#1-T3000ms < window#69-T3000ms.end))
            +- Expand [ArrayBuffer(named_struct(start, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) + 1) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) END + 0) - 2) * 30000000) + 0), LongType, TimestampType), end, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) + 1) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) END + 0) - 2) * 30000000) + 60000000), LongType, TimestampType)), timestamp#1-T3000ms, hostname#12, bytes#47), ArrayBuffer(named_struct(start, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) + 1) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) END + 1) - 2) * 30000000) + 0), LongType, TimestampType), end, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) + 1) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) END + 1) - 2) * 30000000) + 60000000), LongType, TimestampType)), timestamp#1-T3000ms, hostname#12, bytes#47)], [window#69-T3000ms, timestamp#1-T3000ms, hostname#12, bytes#47]
               +- Project [timestamp#1-T3000ms, split(logs#5, ,, -1)[1] AS hostname#12, split(logs#5, ,, -1)[6] AS bytes#47]
                  +- EventTimeWatermark timestamp#1: timestamp, 3 seconds
                     +- Project [logs#5, timestamp#1]
                        +- Generate explode(split(value#0,  , -1)), [0], false, [logs#5]
                           +- StreamingDataSourceV2Relation [value#0, timestamp#1], org.apache.spark.sql.execution.streaming.sources.TextSocketTable$$anon$1@16f00bff, TextSocketV2[host: stream-emulator.data-science-tools.svc.cluster.local, port: 5551], 72, 86

== Physical Plan ==
WriteToDataSourceV2 org.apache.spark.sql.execution.streaming.sources.MicroBatchWrite@7501389
+- *(7) Sort [total_bytes#68 DESC NULLS LAST], true, 0
   +- Exchange rangepartitioning(total_bytes#68 DESC NULLS LAST, 200), true, [id=#769]
      +- *(6) HashAggregate(keys=[window#69-T3000ms, hostname#12], functions=[sum(cast(bytes#47 as double))], output=[window#57-T3000ms, hostname#12, total_bytes#68])
         +- StateStoreSave [window#69-T3000ms, hostname#12], state info [ checkpoint = file:/tmp/spark-checkpoints/state, runId = 8a4155da-36fe-4885-93fd-d46a110c0886, opId = 0, ver = 6, numPartitions = 200], Complete, 1733962184898, 2
            +- *(5) HashAggregate(keys=[window#69-T3000ms, hostname#12], functions=[merge_sum(cast(bytes#47 as double))], output=[window#69-T3000ms, hostname#12, sum#77])
               +- StateStoreRestore [window#69-T3000ms, hostname#12], state info [ checkpoint = file:/tmp/spark-checkpoints/state, runId = 8a4155da-36fe-4885-93fd-d46a110c0886, opId = 0, ver = 6, numPartitions = 200], 2
                  +- *(4) HashAggregate(keys=[window#69-T3000ms, hostname#12], functions=[merge_sum(cast(bytes#47 as double))], output=[window#69-T3000ms, hostname#12, sum#77])
                     +- Exchange hashpartitioning(window#69-T3000ms, hostname#12, 200), true, [id=#757]
                        +- *(3) HashAggregate(keys=[window#69-T3000ms, hostname#12], functions=[partial_sum(cast(bytes#47 as double))], output=[window#69-T3000ms, hostname#12, sum#77])
                           +- *(3) Project [window#69-T3000ms, hostname#12, bytes#47]
                              +- *(3) Filter (((isnotnull(timestamp#1-T3000ms) AND isnotnull(window#69-T3000ms)) AND (timestamp#1-T3000ms >= window#69-T3000ms.start)) AND (timestamp#1-T3000ms < window#69-T3000ms.end))
                                 +- *(3) Expand [ArrayBuffer(named_struct(start, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) + 1) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) END + 0) - 2) * 30000000) + 0), LongType, TimestampType), end, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) + 1) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) END + 0) - 2) * 30000000) + 60000000), LongType, TimestampType)), timestamp#1-T3000ms, hostname#12, bytes#47), ArrayBuffer(named_struct(start, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) + 1) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) END + 1) - 2) * 30000000) + 0), LongType, TimestampType), end, precisetimestampconversion(((((CASE WHEN (cast(CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) as double) = (cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) THEN (CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) + 1) ELSE CEIL((cast((precisetimestampconversion(timestamp#1-T3000ms, TimestampType, LongType) - 0) as double) / 3.0E7)) END + 1) - 2) * 30000000) + 60000000), LongType, TimestampType)), timestamp#1-T3000ms, hostname#12, bytes#47)], [window#69-T3000ms, timestamp#1-T3000ms, hostname#12, bytes#47]
                                    +- *(3) Project [timestamp#1-T3000ms, split(logs#5, ,, -1)[1] AS hostname#12, split(logs#5, ,, -1)[6] AS bytes#47]
                                       +- EventTimeWatermark timestamp#1: timestamp, 3 seconds
                                          +- *(2) Project [logs#5, timestamp#1]
                                             +- Generate explode(split(value#0,  , -1)), [timestamp#1], false, [logs#5]
                                                +- *(1) Project [value#0, timestamp#1]
                                                   +- MicroBatchScan[value#0, timestamp#1] class org.apache.spark.sql.execution.streaming.sources.TextSocketTable$$anon$1