EthereumTasks - Details for Query 8

Details for Query 8

Submitted Time: 2024/12/20 13:34:04
Duration: 16 s
Succeeded Jobs: 10 11

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

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subgraph cluster4 { isCluster="true"; label="WholeStageCodegen (7)\n \nduration: total (min, med, max (stageId: taskId))\n486 ms (0 ms, 0 ms, 16 ms (stage 31.0: task 1852))"; 5 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 241 ms (0 ms, 0 ms, 13 ms (stage 31.0: task 1852)) peak memory total (min, med, max (stageId: taskId)) 3.7 GiB (256.0 KiB, 256.0 KiB, 64.3 MiB (stage 31.0: task 1852)) number of output rows: 60 avg hash probe bucket list iters (min, med, max (stageId: taskId)): (1, 1, 1 (stage 31.0: task 1852))"]; } 6 [labelType="html" label="Exchange shuffle records written: 5,937 shuffle write time total (min, med, max (stageId: taskId)) 1.2 s (3 ms, 5 ms, 17 ms (stage 25.0: task 1496)) records read: 11,874 local bytes read total (min, med, max (stageId: taskId)) 392.1 KiB (0.0 B, 0.0 B, 8.7 KiB (stage 26.0: task 1654)) fetch wait time total (min, med, max (stageId: taskId)) 3 ms (0 ms, 0 ms, 1 ms (stage 31.0: task 1852)) remote bytes read total (min, med, max (stageId: taskId)) 387.8 KiB (0.0 B, 0.0 B, 8.7 KiB (stage 31.0: task 1854)) local blocks read: 5,773 remote blocks read: 5,709 data size total (min, med, max (stageId: taskId)) 185.5 KiB (864.0 B, 960.0 B, 960.0 B (stage 25.0: task 1452)) shuffle bytes written total (min, med, max (stageId: taskId)) 390.0 KiB (1811.0 B, 2018.0 B, 2022.0 B (stage 25.0: task 1472))"]; subgraph cluster7 { isCluster="true"; label="WholeStageCodegen (6)\n \nduration: total (min, med, max (stageId: taskId))\n3.0 s (7 ms, 13 ms, 116 ms (stage 25.0: task 1560))"; 8 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 1.4 s (2 ms, 6 ms, 101 ms (stage 25.0: task 1560)) peak memory total (min, med, max (stageId: taskId)) 50.0 MiB (256.0 KiB, 256.0 KiB, 256.0 KiB (stage 25.0: task 1452)) number of output rows: 5,937"]; 9 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 1.1 s (1 ms, 4 ms, 99 ms (stage 25.0: task 1560)) peak memory total (min, med, max (stageId: taskId)) 50.0 MiB (256.0 KiB, 256.0 KiB, 256.0 KiB (stage 25.0: task 1452)) number of output rows: 28,128"]; } 10 [labelType="html" label="Exchange shuffle records written: 85,947 shuffle write time total (min, med, max (stageId: taskId)) 2.5 s (8 ms, 12 ms, 21 ms (stage 24.0: task 1315)) records read: 85,947 local bytes read total (min, med, max (stageId: taskId)) 3.3 MiB (8.4 KiB, 16.3 KiB, 29.3 KiB (stage 25.0: task 1472)) fetch wait time total (min, med, max (stageId: taskId)) 199 ms (0 ms, 0 ms, 92 ms (stage 25.0: task 1560)) remote bytes read total (min, med, max (stageId: taskId)) 3.2 MiB (9.4 KiB, 15.9 KiB, 34.7 KiB (stage 25.0: task 1496)) local blocks read: 17,713 remote blocks read: 17,440 data size total (min, med, max (stageId: taskId)) 6.6 MiB (22.8 KiB, 33.4 KiB, 45.2 KiB (stage 24.0: task 1361)) shuffle bytes written total (min, med, max (stageId: taskId)) 6.6 MiB (25.4 KiB, 33.5 KiB, 42.1 KiB (stage 24.0: task 1361))"]; subgraph cluster11 { isCluster="true"; label="WholeStageCodegen (5)\n \nduration: total (min, med, max (stageId: taskId))\n4.0 s (13 ms, 17 ms, 76 ms (stage 24.0: task 1319))"; 12 [labelType="html" label="HashAggregate time in aggregation build total (min, med, max (stageId: taskId)) 654 ms (2 ms, 3 ms, 43 ms (stage 24.0: task 1390)) peak memory total (min, med, max (stageId: taskId)) 50.0 MiB (256.0 KiB, 256.0 KiB, 256.0 KiB (stage 24.0: task 1252)) number of output rows: 85,947"]; 13 [labelType="html" label=" Project "]; 14 [labelType="html" label="SortMergeJoin number of output rows: 173,805"]; } subgraph cluster15 { isCluster="true"; label="WholeStageCodegen (2)\n \nduration: total (min, med, max (stageId: taskId))\n933 ms (0 ms, 5 ms, 46 ms (stage 24.0: task 1390))"; 16 [labelType="html" label="Sort sort time total (min, med, max (stageId: taskId)) 0 ms (0 ms, 0 ms, 0 ms (stage 24.0: task 1252)) peak memory total (min, med, max (stageId: taskId)) 12.5 GiB (64.1 MiB, 64.1 MiB, 64.1 MiB (stage 24.0: task 1252)) spill size total (min, med, max (stageId: taskId)) 0.0 B (0.0 B, 0.0 B, 0.0 B (stage 24.0: task 1252))"]; } 17 [labelType="html" label="Exchange shuffle records written: 144,178 shuffle write time total (min, med, max (stageId: taskId)) 43 ms (0 ms, 0 ms, 22 ms (stage 23.0: task 1248)) records read: 144,178 local bytes read total (min, med, max (stageId: taskId)) 4.6 MiB (18.5 KiB, 23.5 KiB, 29.4 KiB (stage 24.0: task 1286)) fetch wait time total (min, med, max (stageId: taskId)) 62 ms (0 ms, 0 ms, 35 ms (stage 24.0: task 1390)) remote bytes read total (min, med, max (stageId: taskId)) 4.7 MiB (18.5 KiB, 23.9 KiB, 28.8 KiB (stage 24.0: task 1435)) local blocks read: 200 remote blocks read: 200 data size total (min, med, max (stageId: taskId)) 13.2 MiB (0.0 B, 0.0 B, 7.0 MiB (stage 23.0: task 1247)) shuffle bytes written total (min, med, max (stageId: taskId)) 9.3 MiB (0.0 B, 0.0 B, 4.9 MiB (stage 23.0: task 1247))"]; subgraph cluster18 { isCluster="true"; label="WholeStageCodegen (1)\n \nduration: total (min, med, max (stageId: taskId))\n8.6 s (152 ms, 2.1 s, 2.2 s (stage 23.0: task 1248))"; 19 [labelType="html" label=" Project "]; 20 [labelType="html" label="Filter number of output rows: 144,178"]; } 21 [labelType="html" label="Scan csv number of files read: 1 metadata time: 0 ms size of files read: 519.0 MiB number of output rows: 500,001"]; subgraph cluster22 { isCluster="true"; label="WholeStageCodegen (4)\n \nduration: total (min, med, max (stageId: taskId))\n824 ms (0 ms, 5 ms, 37 ms (stage 24.0: task 1319))"; 23 [labelType="html" label="Sort sort time total (min, med, max (stageId: taskId)) 7 ms (0 ms, 0 ms, 2 ms (stage 24.0: task 1319)) peak memory total (min, med, max (stageId: taskId)) 12.5 GiB (64.1 MiB, 64.1 MiB, 64.1 MiB (stage 24.0: task 1252)) spill size total (min, med, max (stageId: taskId)) 0.0 B (0.0 B, 0.0 B, 0.0 B (stage 24.0: task 1252))"]; } 24 [labelType="html" label="Exchange shuffle records written: 504,708 shuffle write time total (min, med, max (stageId: taskId)) 111 ms (54 ms, 57 ms, 57 ms (stage 22.0: task 1244)) records read: 504,708 local bytes read total (min, med, max (stageId: taskId)) 26.4 MiB (101.9 KiB, 132.7 KiB, 190.0 KiB (stage 24.0: task 1313)) fetch wait time total (min, med, max (stageId: taskId)) 22 ms (0 ms, 0 ms, 22 ms (stage 24.0: task 1319)) remote bytes read total (min, med, max (stageId: taskId)) 26.4 MiB (104.2 KiB, 133.6 KiB, 198.3 KiB (stage 24.0: task 1360)) local blocks read: 200 remote blocks read: 200 data size total (min, med, max (stageId: taskId)) 107.8 MiB (50.6 MiB, 57.2 MiB, 57.2 MiB (stage 22.0: task 1244)) shuffle bytes written total (min, med, max (stageId: taskId)) 52.8 MiB (24.8 MiB, 27.9 MiB, 27.9 MiB (stage 22.0: task 1244))"]; subgraph cluster25 { isCluster="true"; label="WholeStageCodegen (3)\n \nduration: total (min, med, max (stageId: taskId))\n3.7 s (1.8 s, 1.9 s, 1.9 s (stage 22.0: task 1245))"; 26 [labelType="html" label=" Project "]; 27 [labelType="html" label="Filter number of output rows: 504,708"]; } 28 [labelType="html" label="Scan csv number of files read: 1 metadata time: 0 ms size of files read: 173.6 MiB number of output rows: 504,708"]; 2->0; 3->2; 5->3; 6->5; 8->6; 9->8; 10->9; 12->10; 13->12; 14->13; 16->14; 17->16; 19->17; 20->19; 21->20; 23->14; 24->23; 26->24; 27->26; 28->27; }

Execute InsertIntoHadoopFsRelationCommand file:/opt/spark/work-dir/visualizations/sept_blocks_senders.csv, false, CSV, Map(header -> true, path -> ./visualizations/sept_blocks_senders.csv), ErrorIfExists, [formatted_date, blocks_produced, unique_senders]

Sort [formatted_date#114 ASC NULLS FIRST], true, 0

WholeStageCodegen (8)

Exchange rangepartitioning(formatted_date#114 ASC NULLS FIRST, 200), true, [id=#399]

HashAggregate(keys=[formatted_date#114], functions=[count(hash#70), count(distinct from_address#75)])

WholeStageCodegen (7)

Exchange hashpartitioning(formatted_date#114, 200), true, [id=#395]

HashAggregate(keys=[formatted_date#114], functions=[merge_count(hash#70), partial_count(distinct from_address#75)])

HashAggregate(keys=[formatted_date#114, from_address#75], functions=[merge_count(hash#70)])

WholeStageCodegen (6)

Exchange hashpartitioning(formatted_date#114, from_address#75, 200), true, [id=#390]

HashAggregate(keys=[formatted_date#114, from_address#75], functions=[partial_count(hash#70)])

Project [formatted_date#114, hash#70, from_address#75]

SortMergeJoin [hash#17], [block_hash#72], Inner

WholeStageCodegen (5)

Sort [hash#17 ASC NULLS FIRST], false, 0

WholeStageCodegen (2)

Exchange hashpartitioning(hash#17, 200), true, [id=#372]

Project [hash#17, cast(from_unixtime(cast(timestamp#32 as bigint), yyyy-MM-dd HH:mm:ss, Some(GMT)) as date) AS formatted_date#114]

Filter (((cast(from_unixtime(cast(timestamp#32 as bigint), yyyy-MM-dd HH:mm:ss, Some(GMT)) as date) < 16709) AND (cast(from_unixtime(cast(timestamp#32 as bigint), yyyy-MM-dd HH:mm:ss, Some(GMT)) as date) > 16678)) AND isnotnull(hash#17))

WholeStageCodegen (1)

FileScan csv [hash#17,timestamp#32] Batched: false, DataFilters: [(cast(from_unixtime(cast(timestamp#32 as bigint), yyyy-MM-dd HH:mm:ss, Some(GMT)) as date) < 167..., Format: CSV, Location: InMemoryFileIndex[s3a://data-repository-bkt/ECS765/ethereum/blocks.csv], PartitionFilters: [], PushedFilters: [IsNotNull(hash)], ReadSchema: struct<hash:string,timestamp:int>

Sort [block_hash#72 ASC NULLS FIRST], false, 0

WholeStageCodegen (4)

Exchange hashpartitioning(block_hash#72, 200), true, [id=#381]

Project [hash#70, block_hash#72, from_address#75]

Filter isnotnull(block_hash#72)

WholeStageCodegen (3)

FileScan csv [hash#70,block_hash#72,from_address#75] Batched: false, DataFilters: [isnotnull(block_hash#72)], Format: CSV, Location: InMemoryFileIndex[s3a://data-repository-bkt/ECS765/ethereum/transactions.csv], PartitionFilters: [], PushedFilters: [IsNotNull(block_hash)], ReadSchema: struct<hash:string,block_hash:string,from_address:string>

Details

== Parsed Logical Plan ==
InsertIntoHadoopFsRelationCommand file:/opt/spark/work-dir/visualizations/sept_blocks_senders.csv, false, CSV, Map(header -> true, path -> ./visualizations/sept_blocks_senders.csv), ErrorIfExists, [formatted_date, blocks_produced, unique_senders]
+- Sort [formatted_date#114 ASC NULLS FIRST], true
   +- Aggregate [formatted_date#114], [formatted_date#114, count(hash#70) AS blocks_produced#362L, count(distinct from_address#75) AS unique_senders#363L]
      +- Filter ((formatted_date#114 < cast(2015-10-01 as date)) AND (formatted_date#114 > cast(2015-08-31 as date)))
         +- Project [number#16, parent_hash#18, nonce#19, sha3_uncles#20, logs_bloom#21, transactions_root#22, state_root#23, receipts_root#24, miner#25, difficulty#26L, total_difficulty#27, size#28, extra_data#29, gas_limit#30, gas_used#31, timestamp#32, transaction_count#33, base_fee_per_gas#34, formatted_date#114, hash#70, nonce#71, block_hash#72, block_number#73, transaction_index#74, ... 10 more fields]
            +- Join Inner, (hash#17 = block_hash#72)
               :- Project [number#16, hash#17, parent_hash#18, nonce#19, sha3_uncles#20, logs_bloom#21, transactions_root#22, state_root#23, receipts_root#24, miner#25, difficulty#26L, total_difficulty#27, size#28, extra_data#29, gas_limit#30, gas_used#31, timestamp#32, transaction_count#33, base_fee_per_gas#34, to_date(from_unixtime('timestamp, yyyy-MM-dd HH:mm:ss, None), None) AS formatted_date#114]
               :  +- Relation[number#16,hash#17,parent_hash#18,nonce#19,sha3_uncles#20,logs_bloom#21,transactions_root#22,state_root#23,receipts_root#24,miner#25,difficulty#26L,total_difficulty#27,size#28,extra_data#29,gas_limit#30,gas_used#31,timestamp#32,transaction_count#33,base_fee_per_gas#34] csv
               +- Relation[hash#70,nonce#71,block_hash#72,block_number#73,transaction_index#74,from_address#75,to_address#76,value#77,gas#78,gas_price#79L,input#80,block_timestamp#81,max_fee_per_gas#82,max_priority_fee_per_gas#83,transaction_type#84] csv

== Analyzed Logical Plan ==

InsertIntoHadoopFsRelationCommand file:/opt/spark/work-dir/visualizations/sept_blocks_senders.csv, false, CSV, Map(header -> true, path -> ./visualizations/sept_blocks_senders.csv), ErrorIfExists, [formatted_date, blocks_produced, unique_senders]
+- Sort [formatted_date#114 ASC NULLS FIRST], true
   +- Aggregate [formatted_date#114], [formatted_date#114, count(hash#70) AS blocks_produced#362L, count(distinct from_address#75) AS unique_senders#363L]
      +- Filter ((formatted_date#114 < cast(2015-10-01 as date)) AND (formatted_date#114 > cast(2015-08-31 as date)))
         +- Project [number#16, parent_hash#18, nonce#19, sha3_uncles#20, logs_bloom#21, transactions_root#22, state_root#23, receipts_root#24, miner#25, difficulty#26L, total_difficulty#27, size#28, extra_data#29, gas_limit#30, gas_used#31, timestamp#32, transaction_count#33, base_fee_per_gas#34, formatted_date#114, hash#70, nonce#71, block_hash#72, block_number#73, transaction_index#74, ... 10 more fields]
            +- Join Inner, (hash#17 = block_hash#72)
               :- Project [number#16, hash#17, parent_hash#18, nonce#19, sha3_uncles#20, logs_bloom#21, transactions_root#22, state_root#23, receipts_root#24, miner#25, difficulty#26L, total_difficulty#27, size#28, extra_data#29, gas_limit#30, gas_used#31, timestamp#32, transaction_count#33, base_fee_per_gas#34, to_date(from_unixtime('timestamp, yyyy-MM-dd HH:mm:ss, None), None) AS formatted_date#114]
               :  +- Relation[number#16,hash#17,parent_hash#18,nonce#19,sha3_uncles#20,logs_bloom#21,transactions_root#22,state_root#23,receipts_root#24,miner#25,difficulty#26L,total_difficulty#27,size#28,extra_data#29,gas_limit#30,gas_used#31,timestamp#32,transaction_count#33,base_fee_per_gas#34] csv
               +- Relation[hash#70,nonce#71,block_hash#72,block_number#73,transaction_index#74,from_address#75,to_address#76,value#77,gas#78,gas_price#79L,input#80,block_timestamp#81,max_fee_per_gas#82,max_priority_fee_per_gas#83,transaction_type#84] csv

== Optimized Logical Plan ==
InsertIntoHadoopFsRelationCommand file:/opt/spark/work-dir/visualizations/sept_blocks_senders.csv, false, CSV, Map(header -> true, path -> ./visualizations/sept_blocks_senders.csv), ErrorIfExists, [formatted_date, blocks_produced, unique_senders]
+- Sort [formatted_date#114 ASC NULLS FIRST], true
   +- Aggregate [formatted_date#114], [formatted_date#114, count(hash#70) AS blocks_produced#362L, count(distinct from_address#75) AS unique_senders#363L]
      +- Project [formatted_date#114, hash#70, from_address#75]
         +- Join Inner, (hash#17 = block_hash#72)
            :- Project [hash#17, cast(from_unixtime(cast(timestamp#32 as bigint), yyyy-MM-dd HH:mm:ss, Some(GMT)) as date) AS formatted_date#114]
            :  +- Filter (((cast(from_unixtime(cast(timestamp#32 as bigint), yyyy-MM-dd HH:mm:ss, Some(GMT)) as date) < 16709) AND (cast(from_unixtime(cast(timestamp#32 as bigint), yyyy-MM-dd HH:mm:ss, Some(GMT)) as date) > 16678)) AND isnotnull(hash#17))
            :     +- Relation[number#16,hash#17,parent_hash#18,nonce#19,sha3_uncles#20,logs_bloom#21,transactions_root#22,state_root#23,receipts_root#24,miner#25,difficulty#26L,total_difficulty#27,size#28,extra_data#29,gas_limit#30,gas_used#31,timestamp#32,transaction_count#33,base_fee_per_gas#34] csv
            +- Project [hash#70, block_hash#72, from_address#75]
               +- Filter isnotnull(block_hash#72)
                  +- Relation[hash#70,nonce#71,block_hash#72,block_number#73,transaction_index#74,from_address#75,to_address#76,value#77,gas#78,gas_price#79L,input#80,block_timestamp#81,max_fee_per_gas#82,max_priority_fee_per_gas#83,transaction_type#84] csv

== Physical Plan ==
Execute InsertIntoHadoopFsRelationCommand file:/opt/spark/work-dir/visualizations/sept_blocks_senders.csv, false, CSV, Map(header -> true, path -> ./visualizations/sept_blocks_senders.csv), ErrorIfExists, [formatted_date, blocks_produced, unique_senders]
+- *(8) Sort [formatted_date#114 ASC NULLS FIRST], true, 0
   +- Exchange rangepartitioning(formatted_date#114 ASC NULLS FIRST, 200), true, [id=#399]
      +- *(7) HashAggregate(keys=[formatted_date#114], functions=[count(hash#70), count(distinct from_address#75)], output=[formatted_date#114, blocks_produced#362L, unique_senders#363L])
         +- Exchange hashpartitioning(formatted_date#114, 200), true, [id=#395]
            +- *(6) HashAggregate(keys=[formatted_date#114], functions=[merge_count(hash#70), partial_count(distinct from_address#75)], output=[formatted_date#114, count#378L, count#381L])
               +- *(6) HashAggregate(keys=[formatted_date#114, from_address#75], functions=[merge_count(hash#70)], output=[formatted_date#114, from_address#75, count#378L])
                  +- Exchange hashpartitioning(formatted_date#114, from_address#75, 200), true, [id=#390]
                     +- *(5) HashAggregate(keys=[formatted_date#114, from_address#75], functions=[partial_count(hash#70)], output=[formatted_date#114, from_address#75, count#378L])
                        +- *(5) Project [formatted_date#114, hash#70, from_address#75]
                           +- *(5) SortMergeJoin [hash#17], [block_hash#72], Inner
                              :- *(2) Sort [hash#17 ASC NULLS FIRST], false, 0
                              :  +- Exchange hashpartitioning(hash#17, 200), true, [id=#372]
                              :     +- *(1) Project [hash#17, cast(from_unixtime(cast(timestamp#32 as bigint), yyyy-MM-dd HH:mm:ss, Some(GMT)) as date) AS formatted_date#114]
                              :        +- *(1) Filter (((cast(from_unixtime(cast(timestamp#32 as bigint), yyyy-MM-dd HH:mm:ss, Some(GMT)) as date) < 16709) AND (cast(from_unixtime(cast(timestamp#32 as bigint), yyyy-MM-dd HH:mm:ss, Some(GMT)) as date) > 16678)) AND isnotnull(hash#17))
                              :           +- FileScan csv [hash#17,timestamp#32] Batched: false, DataFilters: [(cast(from_unixtime(cast(timestamp#32 as bigint), yyyy-MM-dd HH:mm:ss, Some(GMT)) as date) < 167..., Format: CSV, Location: InMemoryFileIndex[s3a://data-repository-bkt/ECS765/ethereum/blocks.csv], PartitionFilters: [], PushedFilters: [IsNotNull(hash)], ReadSchema: struct<hash:string,timestamp:int>
                              +- *(4) Sort [block_hash#72 ASC NULLS FIRST], false, 0
                                 +- Exchange hashpartitioning(block_hash#72, 200), true, [id=#381]
                                    +- *(3) Project [hash#70, block_hash#72, from_address#75]
                                       +- *(3) Filter isnotnull(block_hash#72)
                                          +- FileScan csv [hash#70,block_hash#72,from_address#75] Batched: false, DataFilters: [isnotnull(block_hash#72)], Format: CSV, Location: InMemoryFileIndex[s3a://data-repository-bkt/ECS765/ethereum/transactions.csv], PartitionFilters: [], PushedFilters: [IsNotNull(block_hash)], ReadSchema: struct<hash:string,block_hash:string,from_address:string>