{ "mode": "compare", "format": "parquet", "resultOrderValidation": "Exact rows and multiplicities, preserving ORDER BY key order; row order within equal-key groups is immaterial", "profile": false, "scale": 1.0, "javaVersion": "17.0.17", "javaVm": "OpenJDK 64-Bit Server VM", "os": "Mac OS X aarch64", "maxHeapBytes": 8589934592, "generator": "io.airlift.tpch:tpch:0.10", "schema": "TPC-H identifiers BIGINT, integer INT, numeric DECIMAL(15,2), date DATE, text STRING", "parallelism": 2, "nativeBytes": 536870912, "nativeBatchRows": 8192, "fileSource": true, "warmups": 3, "trials": 7, "tables": { "customer": { "sha256": "a035a33a703d3a043ecf97746b4e3a7988316c1c04923fda63231a59d5e46092", "bytes": 24196144, "rows": 150000 }, "orders": { "sha256": "3f111871419ea6f319fcc51c235d199b3edf16754c5e100be92927527e5f6c97", "bytes": 170452161, "rows": 1500000 }, "lineitem": { "sha256": "4feb529dfa255799bbf0243d2f2c5028375dfb684e592eb94775345602aa2728", "bytes": 753862072, "rows": 6001215 }, "part": { "sha256": "cecd01146ae002aebe47e6b58bd81644df1d51d9c14da3425aea2b4976e02d60", "bytes": 23935125, "rows": 200000 }, "partsupp": { "sha256": "3a68b7b7757cd3aacccb39c4bc092dc3edf3b7e0e7609a259c39238cae0be41e", "bytes": 118184616, "rows": 800000 }, "supplier": { "sha256": "f5699b5df22724f41bee9b8521798d8fc0cecd5beb0bd3bca96547ac58095547", "bytes": 1399184, "rows": 10000 }, "nation": { "sha256": "7d47bc9397da331054fa92b8fb92e4c074004bad72dcbb893012093218dccf6c", "bytes": 2199, "rows": 25 }, "region": { "sha256": "5a7c2fe9718db00ff5e5bc82a9ebfa8abc492cc75260d3c0ffb411974f235ab0", "bytes": 384, "rows": 5 } }, "queries": [ { "query": 6, "sqlSha256": "9a0f373ae3a61ce5596f4b77647988f09b3f8261661853a11db1930708771c21", "sql": "-- database: presto; groups: tpch; tables: lineitem\nSELECT sum(l_extendedprice * l_discount) AS revenue\nFROM\n lineitem\nWHERE\n l_shipdate >= DATE '1994-01-01'\n AND l_shipdate < DATE '1994-01-01' + INTERVAL '1' YEAR\n-- AND l_discount BETWEEN decimal '0.06' - decimal '0.01' AND decimal '0.06' + decimal '0.01'\n-- we don't support the above feature\nAND l_discount BETWEEN 0.06 - 0.01 AND 0.06 + 0.01\nAND l_quantity < 24\n", "stockPlan": "== Abstract Syntax Tree ==\nLogicalAggregate(group=[{}], revenue=[SUM($0)])\n+- LogicalProject($f0=[*($5, $6)])\n +- LogicalFilter(condition=[AND(>=($10, 1994-01-01), <($10, +(1994-01-01, 12:INTERVAL YEAR)), >=($6, -(0.06:DECIMAL(3, 2), 0.01:DECIMAL(3, 2))), <=($6, +(0.06:DECIMAL(3, 2), 0.01:DECIMAL(3, 2))), <($4, 24))])\n +- LogicalTableScan(table=[[default_catalog, default_database, lineitem]])\n\n== Optimized Physical Plan ==\nHashAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])\n+- Exchange(distribution=[single])\n +- LocalHashAggregate(select=[Partial_SUM($f0) AS sum$0])\n +- Calc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_shipdate, Sarg[[1994-01-01..1995-01-01)]), SEARCH(l_discount, Sarg[[0.05..0.07]]), <(l_quantity, 24))])\n +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(and(AND(>=(l_shipdate, 1994-01-01), <(l_shipdate, 1995-01-01)), AND(>=(l_discount, 0.05:DECIMAL(4, 2)), <=(l_discount, 0.07:DECIMAL(4, 2)))), <(l_quantity, 24))], project=[l_quantity, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_quantity, l_extendedprice, l_discount, l_shipdate])\n\n== Optimized Execution Plan ==\nHashAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])\n+- Exchange(distribution=[single])\n +- LocalHashAggregate(select=[Partial_SUM($f0) AS sum$0])\n +- Calc(select=[(l_extendedprice * l_discount) AS $f0], where=[(SEARCH(l_shipdate, Sarg[[1994-01-01..1995-01-01)]) AND SEARCH(l_discount, Sarg[[0.05..0.07]]) AND (l_quantity < 24))])\n +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(and(AND(>=(l_shipdate, 1994-01-01), <(l_shipdate, 1995-01-01)), AND(>=(l_discount, 0.05:DECIMAL(4, 2)), <=(l_discount, 0.07:DECIMAL(4, 2)))), <(l_quantity, 24))], project=[l_quantity, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_quantity, l_extendedprice, l_discount, l_shipdate])\n", "nativePlan": "== Abstract Syntax Tree ==\nLogicalAggregate(group=[{}], revenue=[SUM($0)])\n+- LogicalProject($f0=[*($5, $6)])\n +- LogicalFilter(condition=[AND(>=($10, 1994-01-01), <($10, +(1994-01-01, 12:INTERVAL YEAR)), >=($6, -(0.06:DECIMAL(3, 2), 0.01:DECIMAL(3, 2))), <=($6, +(0.06:DECIMAL(3, 2), 0.01:DECIMAL(3, 2))), <($4, 24))])\n +- LogicalTableScan(table=[[default_catalog, default_database, lineitem]])\n\n== Optimized Physical Plan ==\nNativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])\n+- NativeExchange(distribution=[single])\n +- NativeAggregate(select=[Partial_SUM($f0) AS sum$0])\n +- NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_shipdate, Sarg[[1994-01-01..1995-01-01)]), SEARCH(l_discount, Sarg[[0.05..0.07]]), <(l_quantity, 24))], nativeFunctions=[], jvmFunctions=[])\n +- RowDataToArrow\n +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(and(AND(>=(l_shipdate, 1994-01-01), <(l_shipdate, 1995-01-01)), AND(>=(l_discount, 0.05:DECIMAL(4, 2)), <=(l_discount, 0.07:DECIMAL(4, 2)))), <(l_quantity, 24))], project=[l_quantity, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_quantity, l_extendedprice, l_discount, l_shipdate])\n\n== Optimized Execution Plan ==\nNativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])\n+- NativeExchange(distribution=[single])\n +- NativeAggregate(select=[Partial_SUM($f0) AS sum$0])\n +- NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_shipdate, Sarg[[1994-01-01..1995-01-01)]), SEARCH(l_discount, Sarg[[0.05..0.07]]), <(l_quantity, 24))], nativeFunctions=[], jvmFunctions=[])\n +- RowDataToArrow\n +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(and(AND(>=(l_shipdate, 1994-01-01), <(l_shipdate, 1995-01-01)), AND(>=(l_discount, 0.05:DECIMAL(4, 2)), <=(l_discount, 0.07:DECIMAL(4, 2)))), <(l_quantity, 24))], project=[l_quantity, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_quantity, l_extendedprice, l_discount, l_shipdate])\n", "admission": "== Abstract Syntax Tree ==\nLogicalAggregate(group=[{}], revenue=[SUM($0)])\n+- LogicalProject($f0=[*($5, $6)])\n +- LogicalFilter(condition=[AND(>=($10, 1994-01-01), <($10, +(1994-01-01, 12:INTERVAL YEAR)), >=($6, -(0.06:DECIMAL(3, 2), 0.01:DECIMAL(3, 2))), <=($6, +(0.06:DECIMAL(3, 2), 0.01:DECIMAL(3, 2))), <($4, 24))])\n +- LogicalTableScan(table=[[default_catalog, default_database, lineitem]])\n\n== Optimized Physical Plan ==\nNativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])\n+- NativeExchange(distribution=[single])\n +- NativeAggregate(select=[Partial_SUM($f0) AS sum$0])\n +- NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_shipdate, Sarg[[1994-01-01..1995-01-01)]), SEARCH(l_discount, Sarg[[0.05..0.07]]), <(l_quantity, 24))], nativeFunctions=[], jvmFunctions=[])\n +- RowDataToArrow\n +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(and(AND(>=(l_shipdate, 1994-01-01), <(l_shipdate, 1995-01-01)), AND(>=(l_discount, 0.05:DECIMAL(4, 2)), <=(l_discount, 0.07:DECIMAL(4, 2)))), <(l_quantity, 24))], project=[l_quantity, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_quantity, l_extendedprice, l_discount, l_shipdate])\n\n== Optimized Execution Plan ==\nNativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])\n+- NativeExchange(distribution=[single])\n +- NativeAggregate(select=[Partial_SUM($f0) AS sum$0])\n +- NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_shipdate, Sarg[[1994-01-01..1995-01-01)]), SEARCH(l_discount, Sarg[[0.05..0.07]]), <(l_quantity, 24))], nativeFunctions=[], jvmFunctions=[])\n +- RowDataToArrow\n +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(and(AND(>=(l_shipdate, 1994-01-01), <(l_shipdate, 1995-01-01)), AND(>=(l_discount, 0.05:DECIMAL(4, 2)), <=(l_discount, 0.07:DECIMAL(4, 2)))), <(l_quantity, 24))], project=[l_quantity, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_quantity, l_extendedprice, l_discount, l_shipdate])\n\nStreamFusion batch: 4 native substitutions; fallback reasons=[]", "nativePlanned": true, "runs": [ { "engine": "streamfusion", "trial": -3, "jobId": "a0f0047c277577128ddba880308d3496", "sourceArrowRows": 6001215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])[29]", "recordsIn": 1, "jobId": "a0f0047c277577128ddba880308d3496" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[27]", "recordsIn": 114160, "jobId": "a0f0047c277577128ddba880308d3496" }, { "attempt": "0", "subtask": "0", "recordsOut": 114160, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 6001215, "jobId": "a0f0047c277577128ddba880308d3496" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[27]", "recordsIn": 0, "jobId": "a0f0047c277577128ddba880308d3496" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 0, "jobId": "a0f0047c277577128ddba880308d3496" } ] }, { "engine": "stock", "trial": -3, "jobId": "f57f6c12cf31d8636e715a02fe29308f", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "stock", "trial": -2, "jobId": "419d59fdd1c643b6496871ec260e8e10", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "streamfusion", "trial": -2, "jobId": "d953e2da16e9eda105b865a52f7d88be", "sourceArrowRows": 6001215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])[52]", "recordsIn": 1, "jobId": "d953e2da16e9eda105b865a52f7d88be" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[50]", "recordsIn": 114160, "jobId": "d953e2da16e9eda105b865a52f7d88be" }, { "attempt": "0", "subtask": "0", "recordsOut": 114160, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 6001215, "jobId": "d953e2da16e9eda105b865a52f7d88be" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[50]", "recordsIn": 0, "jobId": "d953e2da16e9eda105b865a52f7d88be" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 0, "jobId": "d953e2da16e9eda105b865a52f7d88be" } ] }, { "engine": "streamfusion", "trial": -1, "jobId": "1121944d28a1cda1b1d5f5fd08077cae", "sourceArrowRows": 6001215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 0, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[61]", "recordsIn": 0, "jobId": "1121944d28a1cda1b1d5f5fd08077cae" }, { "attempt": "0", "subtask": "0", "recordsOut": 0, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 0, "jobId": "1121944d28a1cda1b1d5f5fd08077cae" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])[63]", "recordsIn": 1, "jobId": "1121944d28a1cda1b1d5f5fd08077cae" }, { "attempt": "0", "subtask": "1", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[61]", "recordsIn": 114160, "jobId": "1121944d28a1cda1b1d5f5fd08077cae" }, { "attempt": "0", "subtask": "1", "recordsOut": 114160, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 6001215, "jobId": "1121944d28a1cda1b1d5f5fd08077cae" } ] }, { "engine": "stock", "trial": -1, "jobId": "a0bb82b478f72a1c06e37c8718d79d8e", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "stock", "trial": 0, "jobId": "6664732a9f255eaa4e6428a7c82362ba", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "streamfusion", "trial": 0, "jobId": "a837ce10d8672d2750878ed0cead4538", "sourceArrowRows": 6001215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])[86]", "recordsIn": 1, "jobId": "a837ce10d8672d2750878ed0cead4538" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[84]", "recordsIn": 114160, "jobId": "a837ce10d8672d2750878ed0cead4538" }, { "attempt": "0", "subtask": "0", "recordsOut": 114160, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 6001215, "jobId": "a837ce10d8672d2750878ed0cead4538" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[84]", "recordsIn": 0, "jobId": "a837ce10d8672d2750878ed0cead4538" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 0, "jobId": "a837ce10d8672d2750878ed0cead4538" } ] }, { "engine": "streamfusion", "trial": 1, "jobId": "ee28af45312d0b238891cff4a2ea5593", "sourceArrowRows": 6001215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 0, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[95]", "recordsIn": 0, "jobId": "ee28af45312d0b238891cff4a2ea5593" }, { "attempt": "0", "subtask": "0", "recordsOut": 0, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 0, "jobId": "ee28af45312d0b238891cff4a2ea5593" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])[97]", "recordsIn": 1, "jobId": "ee28af45312d0b238891cff4a2ea5593" }, { "attempt": "0", "subtask": "1", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[95]", "recordsIn": 114160, "jobId": "ee28af45312d0b238891cff4a2ea5593" }, { "attempt": "0", "subtask": "1", "recordsOut": 114160, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 6001215, "jobId": "ee28af45312d0b238891cff4a2ea5593" } ] }, { "engine": "stock", "trial": 1, "jobId": "70ca8224081a1bae2d560cbcda9c9967", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "stock", "trial": 2, "jobId": "c7bccdff733a5192a4a48b60deb25fb7", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "streamfusion", "trial": 2, "jobId": "eb712f79c233d44540604b03802d1da3", "sourceArrowRows": 6001215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])[120]", "recordsIn": 1, "jobId": "eb712f79c233d44540604b03802d1da3" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[118]", "recordsIn": 114160, "jobId": "eb712f79c233d44540604b03802d1da3" }, { "attempt": "0", "subtask": "0", "recordsOut": 114160, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 6001215, "jobId": "eb712f79c233d44540604b03802d1da3" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[118]", "recordsIn": 0, "jobId": "eb712f79c233d44540604b03802d1da3" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 0, "jobId": "eb712f79c233d44540604b03802d1da3" } ] }, { "engine": "streamfusion", "trial": 3, "jobId": "0c09352470a6e5b750ee4e65b4eeda51", "sourceArrowRows": 6001215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])[131]", "recordsIn": 1, "jobId": "0c09352470a6e5b750ee4e65b4eeda51" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[129]", "recordsIn": 114160, "jobId": "0c09352470a6e5b750ee4e65b4eeda51" }, { "attempt": "0", "subtask": "0", "recordsOut": 114160, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 6001215, "jobId": "0c09352470a6e5b750ee4e65b4eeda51" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[129]", "recordsIn": 0, "jobId": "0c09352470a6e5b750ee4e65b4eeda51" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 0, "jobId": "0c09352470a6e5b750ee4e65b4eeda51" } ] }, { "engine": "stock", "trial": 3, "jobId": "e944abcb873ff3339206f9e1d25451fd", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "stock", "trial": 4, "jobId": "8622a1a1c9ebff59cc8afac2b6f028a5", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "streamfusion", "trial": 4, "jobId": "feb350eda5bb887bc7e704124b4d58ad", "sourceArrowRows": 6001215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])[154]", "recordsIn": 1, "jobId": "feb350eda5bb887bc7e704124b4d58ad" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[152]", "recordsIn": 114160, "jobId": "feb350eda5bb887bc7e704124b4d58ad" }, { "attempt": "0", "subtask": "0", "recordsOut": 114160, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 6001215, "jobId": "feb350eda5bb887bc7e704124b4d58ad" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[152]", "recordsIn": 0, "jobId": "feb350eda5bb887bc7e704124b4d58ad" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 0, "jobId": "feb350eda5bb887bc7e704124b4d58ad" } ] }, { "engine": "streamfusion", "trial": 5, "jobId": "52c4310cdd852e4cf4166ada7f035289", "sourceArrowRows": 6001215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])[165]", "recordsIn": 1, "jobId": "52c4310cdd852e4cf4166ada7f035289" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[163]", "recordsIn": 114160, "jobId": "52c4310cdd852e4cf4166ada7f035289" }, { "attempt": "0", "subtask": "0", "recordsOut": 114160, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 6001215, "jobId": "52c4310cdd852e4cf4166ada7f035289" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[163]", "recordsIn": 0, "jobId": "52c4310cdd852e4cf4166ada7f035289" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 0, "jobId": "52c4310cdd852e4cf4166ada7f035289" } ] }, { "engine": "stock", "trial": 5, "jobId": "b88232e30eccd9486fca2427200140e6", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "stock", "trial": 6, "jobId": "b7f7d291e15f377edb50e57813d79afb", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "streamfusion", "trial": 6, "jobId": "4e1df1a849d8ab97f77747d56ce55268", "sourceArrowRows": 6001215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS revenue])[188]", "recordsIn": 1, "jobId": "4e1df1a849d8ab97f77747d56ce55268" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[186]", "recordsIn": 114160, "jobId": "4e1df1a849d8ab97f77747d56ce55268" }, { "attempt": "0", "subtask": "0", "recordsOut": 114160, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 6001215, "jobId": "4e1df1a849d8ab97f77747d56ce55268" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0])[186]", "recordsIn": 0, "jobId": "4e1df1a849d8ab97f77747d56ce55268" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeCalc(select=[*(l_extendedprice, l_discount) AS $f0], where=[AND(SEARCH(l_s", "recordsIn": 0, "jobId": "4e1df1a849d8ab97f77747d56ce55268" } ] } ], "resultType": "ROW<`revenue` DECIMAL(38, 4)> NOT NULL", "rows": 1, "resultSha256": "3b7d6014c113dcbe7abf123c80dfb895bfa79c896008fedd40cd7660be86ddec", "stockNanos": [ 769765584, 570678500, 696657250, 701556125, 689936875, 669773542, 660006875 ], "nativeNanos": [ 344419375, 234564500, 334337333, 329498625, 332130250, 334082500, 337805583 ], "stockRuntimeMs": [ 633, 503, 588, 547, 584, 545, 575 ], "nativeRuntimeMs": [ 276, 203, 266, 263, 262, 259, 269 ], "status": "passed", "stockMedianMs": 689.936875, "nativeMedianMs": 334.0825, "speedup": 2.065169157318926 }, { "query": 14, "sqlSha256": "a8b179c98ec22511cd9e4333d9ee3000eb89ca2cc83291824e76d71fabe88b2c", "sql": "-- database: presto; groups: tpch; tables: lineitem,part\nSELECT 100.00 * sum(CASE\n WHEN p_type LIKE 'PROMO%'\n THEN l_extendedprice * (1 - l_discount)\n ELSE 0\n END) / sum(l_extendedprice * (1 - l_discount)) AS promo_revenue\nFROM\n lineitem,\n part\nWHERE\n l_partkey = p_partkey\n AND l_shipdate >= DATE '1995-09-01'\n AND l_shipdate < DATE '1995-09-01' + INTERVAL '1' MONTH\n", "stockPlan": "== Abstract Syntax Tree ==\nLogicalProject(promo_revenue=[/(*(100.00:DECIMAL(5, 2), $0), $1)])\n+- LogicalAggregate(group=[{}], agg#0=[SUM($0)], agg#1=[SUM($1)])\n +- LogicalProject($f0=[CASE(LIKE($20, _UTF-16LE'PROMO%'), *($5, -(1, $6)), 0:DECIMAL(32, 4))], $f1=[*($5, -(1, $6))])\n +- LogicalFilter(condition=[AND(=($1, $16), >=($10, 1995-09-01), <($10, +(1995-09-01, 1:INTERVAL MONTH)))])\n +- LogicalJoin(condition=[true], joinType=[inner])\n :- LogicalTableScan(table=[[default_catalog, default_database, lineitem]])\n +- LogicalTableScan(table=[[default_catalog, default_database, part]])\n\n== Optimized Physical Plan ==\nCalc(select=[/(*(100.00, $f0), $f1) AS promo_revenue])\n+- HashAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS $f0, Final_SUM(sum$1) AS $f1])\n +- Exchange(distribution=[single])\n +- LocalHashAggregate(select=[Partial_SUM($f0) AS sum$0, Partial_SUM($f1) AS sum$1])\n +- Calc(select=[CASE(LIKE(p_type, 'PROMO%'), *(l_extendedprice, -(1, l_discount)), 0) AS $f0, *(l_extendedprice, -(1, l_discount)) AS $f1])\n +- HashJoin(joinType=[InnerJoin], where=[=(l_partkey, p_partkey)], select=[l_partkey, l_extendedprice, l_discount, p_partkey, p_type], build=[left])\n :- Exchange(distribution=[hash[l_partkey]])\n : +- Calc(select=[l_partkey, l_extendedprice, l_discount], where=[SEARCH(l_shipdate, Sarg[[1995-09-01..1995-10-01)])])\n : +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1995-09-01), <(l_shipdate, 1995-10-01))], project=[l_partkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_partkey, l_extendedprice, l_discount, l_shipdate])\n +- Exchange(distribution=[hash[p_partkey]])\n +- TableSourceScan(table=[[default_catalog, default_database, part, project=[p_partkey, p_type], metadata=[]]], fields=[p_partkey, p_type])\n\n== Optimized Execution Plan ==\nCalc(select=[((100.00 * $f0) / $f1) AS promo_revenue])\n+- HashAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS $f0, Final_SUM(sum$1) AS $f1])\n +- Exchange(distribution=[single])\n +- LocalHashAggregate(select=[Partial_SUM($f0) AS sum$0, Partial_SUM($f1) AS sum$1])\n +- Calc(select=[CASE(LIKE(p_type, 'PROMO%'), (l_extendedprice * (1 - l_discount)), 0) AS $f0, (l_extendedprice * (1 - l_discount)) AS $f1])\n +- AdaptiveJoin(originalJoin=[ShuffleHashJoin], joinType=[InnerJoin], where=[(l_partkey = p_partkey)], select=[l_partkey, l_extendedprice, l_discount, p_partkey, p_type], build=[left])\n :- Exchange(distribution=[hash[l_partkey]])\n : +- Calc(select=[l_partkey, l_extendedprice, l_discount], where=[SEARCH(l_shipdate, Sarg[[1995-09-01..1995-10-01)])])\n : +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1995-09-01), <(l_shipdate, 1995-10-01))], project=[l_partkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_partkey, l_extendedprice, l_discount, l_shipdate])\n +- Exchange(distribution=[hash[p_partkey]])\n +- TableSourceScan(table=[[default_catalog, default_database, part, project=[p_partkey, p_type], metadata=[]]], fields=[p_partkey, p_type])\n", "nativePlan": "== Abstract Syntax Tree ==\nLogicalProject(promo_revenue=[/(*(100.00:DECIMAL(5, 2), $0), $1)])\n+- LogicalAggregate(group=[{}], agg#0=[SUM($0)], agg#1=[SUM($1)])\n +- LogicalProject($f0=[CASE(LIKE($20, _UTF-16LE'PROMO%'), *($5, -(1, $6)), 0:DECIMAL(32, 4))], $f1=[*($5, -(1, $6))])\n +- LogicalFilter(condition=[AND(=($1, $16), >=($10, 1995-09-01), <($10, +(1995-09-01, 1:INTERVAL MONTH)))])\n +- LogicalJoin(condition=[true], joinType=[inner])\n :- LogicalTableScan(table=[[default_catalog, default_database, lineitem]])\n +- LogicalTableScan(table=[[default_catalog, default_database, part]])\n\n== Optimized Physical Plan ==\nNativeCalc(select=[/(*(100.00, $f0), $f1) AS promo_revenue], nativeFunctions=[], jvmFunctions=[])\n+- NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS $f0, Final_SUM(sum$1) AS $f1])\n +- NativeExchange(distribution=[single])\n +- NativeAggregate(select=[Partial_SUM($f0) AS sum$0, Partial_SUM($f1) AS sum$1])\n +- NativeCalc(select=[CASE(LIKE(p_type, 'PROMO%'), *(l_extendedprice, -(1, l_discount)), 0) AS $f0, *(l_extendedprice, -(1, l_discount)) AS $f1], nativeFunctions=[], jvmFunctions=[])\n +- NativeJoin(joinType=[InnerJoin], where=[=(l_partkey, p_partkey)], select=[l_partkey, l_extendedprice, l_discount, p_partkey, p_type], build=[left])\n :- NativeExchange(distribution=[hash[l_partkey]])\n : +- NativeCalc(select=[l_partkey, l_extendedprice, l_discount], where=[SEARCH(l_shipdate, Sarg[[1995-09-01..1995-10-01)])], nativeFunctions=[], jvmFunctions=[])\n : +- RowDataToArrow\n : +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1995-09-01), <(l_shipdate, 1995-10-01))], project=[l_partkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_partkey, l_extendedprice, l_discount, l_shipdate])\n +- NativeExchange(distribution=[hash[p_partkey]])\n +- RowDataToArrow\n +- TableSourceScan(table=[[default_catalog, default_database, part, project=[p_partkey, p_type], metadata=[]]], fields=[p_partkey, p_type])\n\n== Optimized Execution Plan ==\nNativeCalc(select=[/(*(100.00, $f0), $f1) AS promo_revenue], nativeFunctions=[], jvmFunctions=[])\n+- NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS $f0, Final_SUM(sum$1) AS $f1])\n +- NativeExchange(distribution=[single])\n +- NativeAggregate(select=[Partial_SUM($f0) AS sum$0, Partial_SUM($f1) AS sum$1])\n +- NativeCalc(select=[CASE(LIKE(p_type, 'PROMO%'), *(l_extendedprice, -(1, l_discount)), 0) AS $f0, *(l_extendedprice, -(1, l_discount)) AS $f1], nativeFunctions=[], jvmFunctions=[])\n +- NativeJoin(joinType=[InnerJoin], where=[=(l_partkey, p_partkey)], select=[l_partkey, l_extendedprice, l_discount, p_partkey, p_type], build=[left])\n :- NativeExchange(distribution=[hash[l_partkey]])\n : +- NativeCalc(select=[l_partkey, l_extendedprice, l_discount], where=[SEARCH(l_shipdate, Sarg[[1995-09-01..1995-10-01)])], nativeFunctions=[], jvmFunctions=[])\n : +- RowDataToArrow\n : +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1995-09-01), <(l_shipdate, 1995-10-01))], project=[l_partkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_partkey, l_extendedprice, l_discount, l_shipdate])\n +- NativeExchange(distribution=[hash[p_partkey]])\n +- RowDataToArrow\n +- TableSourceScan(table=[[default_catalog, default_database, part, project=[p_partkey, p_type], metadata=[]]], fields=[p_partkey, p_type])\n", "admission": "== Abstract Syntax Tree ==\nLogicalProject(promo_revenue=[/(*(100.00:DECIMAL(5, 2), $0), $1)])\n+- LogicalAggregate(group=[{}], agg#0=[SUM($0)], agg#1=[SUM($1)])\n +- LogicalProject($f0=[CASE(LIKE($20, _UTF-16LE'PROMO%'), *($5, -(1, $6)), 0:DECIMAL(32, 4))], $f1=[*($5, -(1, $6))])\n +- LogicalFilter(condition=[AND(=($1, $16), >=($10, 1995-09-01), <($10, +(1995-09-01, 1:INTERVAL MONTH)))])\n +- LogicalJoin(condition=[true], joinType=[inner])\n :- LogicalTableScan(table=[[default_catalog, default_database, lineitem]])\n +- LogicalTableScan(table=[[default_catalog, default_database, part]])\n\n== Optimized Physical Plan ==\nNativeCalc(select=[/(*(100.00, $f0), $f1) AS promo_revenue], nativeFunctions=[], jvmFunctions=[])\n+- NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS $f0, Final_SUM(sum$1) AS $f1])\n +- NativeExchange(distribution=[single])\n +- NativeAggregate(select=[Partial_SUM($f0) AS sum$0, Partial_SUM($f1) AS sum$1])\n +- NativeCalc(select=[CASE(LIKE(p_type, 'PROMO%'), *(l_extendedprice, -(1, l_discount)), 0) AS $f0, *(l_extendedprice, -(1, l_discount)) AS $f1], nativeFunctions=[], jvmFunctions=[])\n +- NativeJoin(joinType=[InnerJoin], where=[=(l_partkey, p_partkey)], select=[l_partkey, l_extendedprice, l_discount, p_partkey, p_type], build=[left])\n :- NativeExchange(distribution=[hash[l_partkey]])\n : +- NativeCalc(select=[l_partkey, l_extendedprice, l_discount], where=[SEARCH(l_shipdate, Sarg[[1995-09-01..1995-10-01)])], nativeFunctions=[], jvmFunctions=[])\n : +- RowDataToArrow\n : +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1995-09-01), <(l_shipdate, 1995-10-01))], project=[l_partkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_partkey, l_extendedprice, l_discount, l_shipdate])\n +- NativeExchange(distribution=[hash[p_partkey]])\n +- RowDataToArrow\n +- TableSourceScan(table=[[default_catalog, default_database, part, project=[p_partkey, p_type], metadata=[]]], fields=[p_partkey, p_type])\n\n== Optimized Execution Plan ==\nNativeCalc(select=[/(*(100.00, $f0), $f1) AS promo_revenue], nativeFunctions=[], jvmFunctions=[])\n+- NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS $f0, Final_SUM(sum$1) AS $f1])\n +- NativeExchange(distribution=[single])\n +- NativeAggregate(select=[Partial_SUM($f0) AS sum$0, Partial_SUM($f1) AS sum$1])\n +- NativeCalc(select=[CASE(LIKE(p_type, 'PROMO%'), *(l_extendedprice, -(1, l_discount)), 0) AS $f0, *(l_extendedprice, -(1, l_discount)) AS $f1], nativeFunctions=[], jvmFunctions=[])\n +- NativeJoin(joinType=[InnerJoin], where=[=(l_partkey, p_partkey)], select=[l_partkey, l_extendedprice, l_discount, p_partkey, p_type], build=[left])\n :- NativeExchange(distribution=[hash[l_partkey]])\n : +- NativeCalc(select=[l_partkey, l_extendedprice, l_discount], where=[SEARCH(l_shipdate, Sarg[[1995-09-01..1995-10-01)])], nativeFunctions=[], jvmFunctions=[])\n : +- RowDataToArrow\n : +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1995-09-01), <(l_shipdate, 1995-10-01))], project=[l_partkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_partkey, l_extendedprice, l_discount, l_shipdate])\n +- NativeExchange(distribution=[hash[p_partkey]])\n +- RowDataToArrow\n +- TableSourceScan(table=[[default_catalog, default_database, part, project=[p_partkey, p_type], metadata=[]]], fields=[p_partkey, p_type])\n\nStreamFusion batch: 9 native substitutions; fallback reasons=[]", "nativePlanned": true, "runs": [ { "engine": "streamfusion", "trial": -3, "jobId": "e22cc0b402b6f73fdda420f39f04aefd", "sourceArrowRows": 6201215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 0, "operator": "NativeCalc(select=[l_partkey, l_extendedprice, l_discount], where=[SEARCH(l_ship", "recordsIn": 0, "jobId": "e22cc0b402b6f73fdda420f39f04aefd" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS $f0, Final_SUM(sum$1", "recordsIn": 2, "jobId": "e22cc0b402b6f73fdda420f39f04aefd" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0, Partial_SUM($f1) AS sum$1])[2", "recordsIn": 37795, "jobId": "e22cc0b402b6f73fdda420f39f04aefd" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeCalc(select=[/(*(100.00, $f0), $f1) AS promo_revenue], nativeFunctions=[],", "recordsIn": 1, "jobId": "e22cc0b402b6f73fdda420f39f04aefd" }, { "attempt": "0", "subtask": "0", "recordsOut": 37795, "operator": "NativeCalc(select=[CASE(LIKE(p_type, 'PROMO%'), *(l_extendedprice, -(1, l_discou", "recordsIn": 37795, "jobId": "e22cc0b402b6f73fdda420f39f04aefd" }, { "attempt": "0", "subtask": "0", "recordsOut": 37795, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(l_partkey, p_partkey)], select=[l_part", "recordsIn": 137421, "jobId": "e22cc0b402b6f73fdda420f39f04aefd" }, { "attempt": "0", "subtask": "1", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0, Partial_SUM($f1) AS sum$1])[2", "recordsIn": 38188, "jobId": "e22cc0b402b6f73fdda420f39f04aefd" }, { "attempt": "0", "subtask": "1", "recordsOut": 38188, "operator": "NativeCalc(select=[CASE(LIKE(p_type, 'PROMO%'), *(l_extendedprice, -(1, l_discou", "recordsIn": 38188, "jobId": "e22cc0b402b6f73fdda420f39f04aefd" }, { "attempt": "0", "subtask": "1", "recordsOut": 38188, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(l_partkey, p_partkey)], select=[l_part", "recordsIn": 138562, "jobId": "e22cc0b402b6f73fdda420f39f04aefd" }, { "attempt": "0", "subtask": "1", "recordsOut": 75983, "operator": "NativeCalc(select=[l_partkey, l_extendedprice, l_discount], where=[SEARCH(l_ship", "recordsIn": 6001215, "jobId": "e22cc0b402b6f73fdda420f39f04aefd" } ] }, { "engine": "stock", "trial": -3, "jobId": "769b77bbadda87c2e736a9f2cb11ba7b", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "stock", "trial": -2, "jobId": "7286df0d253133b6d89edf8d60b1bbcd", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "streamfusion", "trial": -2, "jobId": "a4900f6e93f25f3c3946f5bdaab24aa4", "sourceArrowRows": 6201215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 0, "operator": "NativeCalc(select=[l_partkey, l_extendedprice, l_discount], where=[SEARCH(l_ship", "recordsIn": 0, "jobId": "a4900f6e93f25f3c3946f5bdaab24aa4" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS $f0, Final_SUM(sum$1", "recordsIn": 2, "jobId": "a4900f6e93f25f3c3946f5bdaab24aa4" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0, Partial_SUM($f1) AS sum$1])[3", "recordsIn": 37795, "jobId": "a4900f6e93f25f3c3946f5bdaab24aa4" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeCalc(select=[/(*(100.00, $f0), $f1) AS promo_revenue], 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"recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_SUM(sum$0) AS $f0, Final_SUM(sum$1", "recordsIn": 2, "jobId": "af598042688be2739fa74bd6cdbc97ee" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0, Partial_SUM($f1) AS sum$1])[5", "recordsIn": 37795, "jobId": "af598042688be2739fa74bd6cdbc97ee" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeCalc(select=[/(*(100.00, $f0), $f1) AS promo_revenue], nativeFunctions=[],", "recordsIn": 1, "jobId": "af598042688be2739fa74bd6cdbc97ee" }, { "attempt": "0", "subtask": "0", "recordsOut": 37795, "operator": "NativeCalc(select=[CASE(LIKE(p_type, 'PROMO%'), *(l_extendedprice, -(1, l_discou", "recordsIn": 37795, "jobId": "af598042688be2739fa74bd6cdbc97ee" }, { "attempt": "0", "subtask": "0", "recordsOut": 37795, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(l_partkey, p_partkey)], select=[l_part", "recordsIn": 137421, "jobId": "af598042688be2739fa74bd6cdbc97ee" }, { "attempt": "0", "subtask": "1", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_SUM($f0) AS sum$0, Partial_SUM($f1) AS sum$1])[5", "recordsIn": 38188, "jobId": "af598042688be2739fa74bd6cdbc97ee" }, { "attempt": "0", "subtask": "1", "recordsOut": 38188, "operator": "NativeCalc(select=[CASE(LIKE(p_type, 'PROMO%'), *(l_extendedprice, -(1, l_discou", "recordsIn": 38188, "jobId": "af598042688be2739fa74bd6cdbc97ee" }, { "attempt": "0", "subtask": "1", "recordsOut": 38188, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(l_partkey, p_partkey)], select=[l_part", "recordsIn": 138562, "jobId": "af598042688be2739fa74bd6cdbc97ee" }, { "attempt": "0", "subtask": "1", "recordsOut": 75983, "operator": "NativeCalc(select=[l_partkey, l_extendedprice, l_discount], where=[SEARCH(l_ship", "recordsIn": 6001215, "jobId": "af598042688be2739fa74bd6cdbc97ee" } ] } ], "resultType": "ROW<`promo_revenue` DECIMAL(38, 6)> NOT NULL", "rows": 1, "resultSha256": "54d5c64f51c2ed70f8a3b2db110a81f77cd36ebcacf5878bd65058d2e7e7fb1b", "stockNanos": [ 593972542, 574473834, 746934208, 743348833, 560929917, 747110250, 601048291 ], "nativeNanos": [ 345301667, 340482458, 337204708, 337408125, 335356667, 339474750, 341277625 ], "stockRuntimeMs": [ 490, 496, 554, 553, 466, 526, 465 ], "nativeRuntimeMs": [ 294, 227, 288, 228, 294, 228, 288 ], "status": "passed", "stockMedianMs": 601.048291, "nativeMedianMs": 339.47475, "speedup": 1.7705242908345908 }, { "query": 15, "sqlSha256": "24ffeb12ad93550c3241dbea68868484c9ad6fe71d3185aeb49b844539b0ec27", "sql": "-- database: presto; groups: tpch; tables: lineitem,supplier\n-- CREATE OR REPLACE VIEW revenue AS\n-- SELECT\n-- l_suppkey AS supplier_no,\n-- sum(l_extendedprice * (1 - l_discount)) AS total_revenue\n-- FROM\n-- lineitem\n-- WHERE\n-- l_shipdate >= DATE '1996-01-01'\n-- AND l_shipdate < DATE '1996-01-01' + INTERVAL '3' MONTH\n-- GROUP BY\n-- l_suppkey;\n--\n-- SELECT\n-- s_suppkey,\n-- s_name,\n-- s_address,\n-- s_phone,\n-- total_revenue\n-- FROM\n-- supplier,\n-- revenue\n-- WHERE\n-- s_suppkey = supplier_no\n-- AND total_revenue = (\n-- SELECT max(total_revenue)\n-- FROM\n-- revenue\n-- )\n-- ORDER BY\n-- s_suppkey;\n-- we don't support view\n\nSELECT\n s_suppkey,\n s_name,\n s_address,\n s_phone,\n total_revenue\nFROM\n supplier, (\n SELECT\n l_suppkey AS supplier_no,\n sum(l_extendedprice * (1 - l_discount)) AS total_revenue\n FROM\n lineitem\n WHERE\n l_shipdate >= DATE '1996-01-01'\n AND l_shipdate < DATE '1996-01-01' + INTERVAL '3' MONTH\n GROUP BY\n l_suppkey) AS revenue\nWHERE\n s_suppkey = supplier_no\n AND total_revenue = (\n SELECT max(total_revenue)\n FROM (\n SELECT\n l_suppkey AS supplier_no,\n sum(l_extendedprice * (1 - l_discount)) AS total_revenue\n FROM\n lineitem\n WHERE\n l_shipdate >= DATE '1996-01-01'\n AND l_shipdate < DATE '1996-01-01' + INTERVAL '3' MONTH\n GROUP BY\n l_suppkey) AS revenue\n )\nORDER BY\n s_suppkey;\n", "stockPlan": "== Abstract Syntax Tree ==\nLogicalSort(sort0=[$0], dir0=[ASC-nulls-first])\n+- LogicalProject(s_suppkey=[$0], s_name=[$1], s_address=[$2], s_phone=[$4], total_revenue=[$8])\n +- LogicalFilter(condition=[AND(=($0, $7), =($8, $SCALAR_QUERY({\nLogicalAggregate(group=[{}], EXPR$0=[MAX($0)])\n LogicalProject(total_revenue=[$1])\n LogicalAggregate(group=[{0}], total_revenue=[SUM($1)])\n LogicalProject(supplier_no=[$2], $f1=[*($5, -(1, $6))])\n LogicalFilter(condition=[AND(>=($10, 1996-01-01), <($10, +(1996-01-01, 3:INTERVAL MONTH)))])\n LogicalTableScan(table=[[default_catalog, default_database, lineitem]])\n})))])\n +- LogicalJoin(condition=[true], joinType=[inner])\n :- LogicalTableScan(table=[[default_catalog, default_database, supplier]])\n +- LogicalAggregate(group=[{0}], total_revenue=[SUM($1)])\n +- LogicalProject(supplier_no=[$2], $f1=[*($5, -(1, $6))])\n +- LogicalFilter(condition=[AND(>=($10, 1996-01-01), <($10, +(1996-01-01, 3:INTERVAL MONTH)))])\n +- LogicalTableScan(table=[[default_catalog, default_database, lineitem]])\n\n== Optimized Physical Plan ==\nSort(orderBy=[s_suppkey ASC])\n+- Exchange(distribution=[single])\n +- Calc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue])\n +- NestedLoopJoin(joinType=[InnerJoin], where=[=(total_revenue, EXPR$0)], select=[s_suppkey, s_name, s_address, s_phone, total_revenue, EXPR$0], build=[right], singleRowJoin=[true])\n :- Calc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue])\n : +- SortMergeJoin(joinType=[InnerJoin], where=[=(s_suppkey, supplier_no)], select=[s_suppkey, s_name, s_address, s_phone, supplier_no, total_revenue])\n : :- Exchange(distribution=[hash[s_suppkey]])\n : : +- TableSourceScan(table=[[default_catalog, default_database, supplier, project=[s_suppkey, s_name, s_address, s_phone], metadata=[]]], fields=[s_suppkey, s_name, s_address, s_phone])\n : +- HashAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Final_SUM(sum$0) AS total_revenue])\n : +- Exchange(distribution=[hash[supplier_no]])\n : +- LocalHashAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS sum$0])\n : +- Calc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)) AS $f1], where=[SEARCH(l_shipdate, Sarg[[1996-01-01..1996-04-01)])])\n : +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1996-01-01), <(l_shipdate, 1996-04-01))], project=[l_suppkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_suppkey, l_extendedprice, l_discount, l_shipdate])\n +- Exchange(distribution=[broadcast])\n +- HashAggregate(isMerge=[true], select=[Final_MAX(max$0) AS EXPR$0])\n +- Exchange(distribution=[single])\n +- LocalHashAggregate(select=[Partial_MAX(total_revenue) AS max$0])\n +- Calc(select=[total_revenue])\n +- HashAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Final_SUM(sum$0) AS total_revenue])\n +- Exchange(distribution=[hash[supplier_no]])\n +- LocalHashAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS sum$0])\n +- Calc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)) AS $f1], where=[SEARCH(l_shipdate, Sarg[[1996-01-01..1996-04-01)])])\n +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1996-01-01), <(l_shipdate, 1996-04-01))], project=[l_suppkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_suppkey, l_extendedprice, l_discount, l_shipdate])\n\n== Optimized Execution Plan ==\nSort(orderBy=[s_suppkey ASC])\n+- Exchange(distribution=[single])\n +- Calc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue])\n +- NestedLoopJoin(joinType=[InnerJoin], where=[(total_revenue = EXPR$0)], select=[s_suppkey, s_name, s_address, s_phone, total_revenue, EXPR$0], build=[right], singleRowJoin=[true])\n :- Exchange(distribution=[any])\n : +- Calc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue])\n : +- SortMergeJoin(joinType=[InnerJoin], where=[(s_suppkey = supplier_no)], select=[s_suppkey, s_name, s_address, s_phone, supplier_no, total_revenue])\n : :- Exchange(distribution=[hash[s_suppkey]])\n : : +- TableSourceScan(table=[[default_catalog, default_database, supplier, project=[s_suppkey, s_name, s_address, s_phone], metadata=[]]], fields=[s_suppkey, s_name, s_address, s_phone])\n : +- Exchange(distribution=[keep_input_as_is[hash[supplier_no]]])\n : +- HashAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Final_SUM(sum$0) AS total_revenue])(reuse_id=[1])\n : +- Exchange(distribution=[hash[supplier_no]])\n : +- LocalHashAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS sum$0])\n : +- Calc(select=[l_suppkey AS supplier_no, (l_extendedprice * (1 - l_discount)) AS $f1], where=[SEARCH(l_shipdate, Sarg[[1996-01-01..1996-04-01)])])\n : +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1996-01-01), <(l_shipdate, 1996-04-01))], project=[l_suppkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_suppkey, l_extendedprice, l_discount, l_shipdate])\n +- Exchange(distribution=[broadcast])\n +- HashAggregate(isMerge=[true], select=[Final_MAX(max$0) AS EXPR$0])\n +- Exchange(distribution=[single])\n +- LocalHashAggregate(select=[Partial_MAX(total_revenue) AS max$0])\n +- Calc(select=[total_revenue])\n +- Reused(reference_id=[1])\n", "nativePlan": "== Abstract Syntax Tree ==\nLogicalSort(sort0=[$0], dir0=[ASC-nulls-first])\n+- LogicalProject(s_suppkey=[$0], s_name=[$1], s_address=[$2], s_phone=[$4], total_revenue=[$8])\n +- LogicalFilter(condition=[AND(=($0, $7), =($8, $SCALAR_QUERY({\nLogicalAggregate(group=[{}], EXPR$0=[MAX($0)])\n LogicalProject(total_revenue=[$1])\n LogicalAggregate(group=[{0}], total_revenue=[SUM($1)])\n LogicalProject(supplier_no=[$2], $f1=[*($5, -(1, $6))])\n LogicalFilter(condition=[AND(>=($10, 1996-01-01), <($10, +(1996-01-01, 3:INTERVAL MONTH)))])\n LogicalTableScan(table=[[default_catalog, default_database, lineitem]])\n})))])\n +- LogicalJoin(condition=[true], joinType=[inner])\n :- LogicalTableScan(table=[[default_catalog, default_database, supplier]])\n +- LogicalAggregate(group=[{0}], total_revenue=[SUM($1)])\n +- LogicalProject(supplier_no=[$2], $f1=[*($5, -(1, $6))])\n +- LogicalFilter(condition=[AND(>=($10, 1996-01-01), <($10, +(1996-01-01, 3:INTERVAL MONTH)))])\n +- LogicalTableScan(table=[[default_catalog, default_database, lineitem]])\n\n== Optimized Physical Plan ==\nNativeSort(orderBy=[s_suppkey ASC])\n+- NativeExchange(distribution=[single])\n +- NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], nativeFunctions=[], jvmFunctions=[])\n +- NativeJoin(joinType=[InnerJoin], where=[=(total_revenue, EXPR$0)], select=[s_suppkey, s_name, s_address, s_phone, total_revenue, EXPR$0], build=[right], singleRowJoin=[true])\n :- NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], nativeFunctions=[], jvmFunctions=[])\n : +- NativeJoin(joinType=[InnerJoin], where=[=(s_suppkey, supplier_no)], select=[s_suppkey, s_name, s_address, s_phone, supplier_no, total_revenue])\n : :- NativeExchange(distribution=[hash[s_suppkey]])\n : : +- RowDataToArrow\n : : +- TableSourceScan(table=[[default_catalog, default_database, supplier, project=[s_suppkey, s_name, s_address, s_phone], metadata=[]]], fields=[s_suppkey, s_name, s_address, s_phone])\n : +- NativeExchange(consumers=[2])\n : +- NativeShare(consumers=[2])\n : +- NativeAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Final_SUM(sum$0) AS total_revenue])\n : +- NativeExchange(distribution=[hash[supplier_no]])\n : +- NativeAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS sum$0])\n : +- NativeCalc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)) AS $f1], where=[SEARCH(l_shipdate, Sarg[[1996-01-01..1996-04-01)])], nativeFunctions=[], jvmFunctions=[])\n : +- RowDataToArrow\n : +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1996-01-01), <(l_shipdate, 1996-04-01))], project=[l_suppkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_suppkey, l_extendedprice, l_discount, l_shipdate])\n +- NativeExchange(distribution=[broadcast])\n +- NativeAggregate(isMerge=[true], select=[Final_MAX(max$0) AS EXPR$0])\n +- NativeExchange(distribution=[single])\n +- NativeAggregate(select=[Partial_MAX(total_revenue) AS max$0])\n +- NativeCalc(select=[total_revenue], nativeFunctions=[], jvmFunctions=[])\n +- NativeShare(consumers=[2])\n +- NativeAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Final_SUM(sum$0) AS total_revenue])\n +- NativeExchange(distribution=[hash[supplier_no]])\n +- NativeAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS sum$0])\n +- NativeCalc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)) AS $f1], where=[SEARCH(l_shipdate, Sarg[[1996-01-01..1996-04-01)])], nativeFunctions=[], jvmFunctions=[])\n +- RowDataToArrow\n +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1996-01-01), <(l_shipdate, 1996-04-01))], project=[l_suppkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_suppkey, l_extendedprice, l_discount, l_shipdate])\n\n== Optimized Execution Plan ==\nNativeSort(orderBy=[s_suppkey ASC])\n+- NativeExchange(distribution=[single])\n +- NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], nativeFunctions=[], jvmFunctions=[])\n +- NativeJoin(joinType=[InnerJoin], where=[=(total_revenue, EXPR$0)], select=[s_suppkey, s_name, s_address, s_phone, total_revenue, EXPR$0], build=[right], singleRowJoin=[true])\n :- NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], nativeFunctions=[], jvmFunctions=[])\n : +- NativeJoin(joinType=[InnerJoin], where=[=(s_suppkey, supplier_no)], select=[s_suppkey, s_name, s_address, s_phone, supplier_no, total_revenue])\n : :- NativeExchange(distribution=[hash[s_suppkey]])\n : : +- RowDataToArrow\n : : +- TableSourceScan(table=[[default_catalog, default_database, supplier, project=[s_suppkey, s_name, s_address, s_phone], metadata=[]]], fields=[s_suppkey, s_name, s_address, s_phone])\n : +- NativeExchange(consumers=[2])\n : +- NativeShare(consumers=[2])(reuse_id=[1])\n : +- NativeAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Final_SUM(sum$0) AS total_revenue])\n : +- NativeExchange(distribution=[hash[supplier_no]])\n : +- NativeAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS sum$0])\n : +- NativeCalc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)) AS $f1], where=[SEARCH(l_shipdate, Sarg[[1996-01-01..1996-04-01)])], nativeFunctions=[], jvmFunctions=[])\n : +- RowDataToArrow\n : +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1996-01-01), <(l_shipdate, 1996-04-01))], project=[l_suppkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_suppkey, l_extendedprice, l_discount, l_shipdate])\n +- NativeExchange(distribution=[broadcast])\n +- NativeAggregate(isMerge=[true], select=[Final_MAX(max$0) AS EXPR$0])\n +- NativeExchange(distribution=[single])\n +- NativeAggregate(select=[Partial_MAX(total_revenue) AS max$0])\n +- NativeCalc(select=[total_revenue], nativeFunctions=[], jvmFunctions=[])\n +- Reused(reference_id=[1])\n", "admission": "== Abstract Syntax Tree ==\nLogicalSort(sort0=[$0], dir0=[ASC-nulls-first])\n+- LogicalProject(s_suppkey=[$0], s_name=[$1], s_address=[$2], s_phone=[$4], total_revenue=[$8])\n +- LogicalFilter(condition=[AND(=($0, $7), =($8, $SCALAR_QUERY({\nLogicalAggregate(group=[{}], EXPR$0=[MAX($0)])\n LogicalProject(total_revenue=[$1])\n LogicalAggregate(group=[{0}], total_revenue=[SUM($1)])\n LogicalProject(supplier_no=[$2], $f1=[*($5, -(1, $6))])\n LogicalFilter(condition=[AND(>=($10, 1996-01-01), <($10, +(1996-01-01, 3:INTERVAL MONTH)))])\n LogicalTableScan(table=[[default_catalog, default_database, lineitem]])\n})))])\n +- LogicalJoin(condition=[true], joinType=[inner])\n :- LogicalTableScan(table=[[default_catalog, default_database, supplier]])\n +- LogicalAggregate(group=[{0}], total_revenue=[SUM($1)])\n +- LogicalProject(supplier_no=[$2], $f1=[*($5, -(1, $6))])\n +- LogicalFilter(condition=[AND(>=($10, 1996-01-01), <($10, +(1996-01-01, 3:INTERVAL MONTH)))])\n +- LogicalTableScan(table=[[default_catalog, default_database, lineitem]])\n\n== Optimized Physical Plan ==\nNativeSort(orderBy=[s_suppkey ASC])\n+- NativeExchange(distribution=[single])\n +- NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], nativeFunctions=[], jvmFunctions=[])\n +- NativeJoin(joinType=[InnerJoin], where=[=(total_revenue, EXPR$0)], select=[s_suppkey, s_name, s_address, s_phone, total_revenue, EXPR$0], build=[right], singleRowJoin=[true])\n :- NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], nativeFunctions=[], jvmFunctions=[])\n : +- NativeJoin(joinType=[InnerJoin], where=[=(s_suppkey, supplier_no)], select=[s_suppkey, s_name, s_address, s_phone, supplier_no, total_revenue])\n : :- NativeExchange(distribution=[hash[s_suppkey]])\n : : +- RowDataToArrow\n : : +- TableSourceScan(table=[[default_catalog, default_database, supplier, project=[s_suppkey, s_name, s_address, s_phone], metadata=[]]], fields=[s_suppkey, s_name, s_address, s_phone])\n : +- NativeExchange(consumers=[2])\n : +- NativeShare(consumers=[2])\n : +- NativeAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Final_SUM(sum$0) AS total_revenue])\n : +- NativeExchange(distribution=[hash[supplier_no]])\n : +- NativeAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS sum$0])\n : +- NativeCalc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)) AS $f1], where=[SEARCH(l_shipdate, Sarg[[1996-01-01..1996-04-01)])], nativeFunctions=[], jvmFunctions=[])\n : +- RowDataToArrow\n : +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1996-01-01), <(l_shipdate, 1996-04-01))], project=[l_suppkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_suppkey, l_extendedprice, l_discount, l_shipdate])\n +- NativeExchange(distribution=[broadcast])\n +- NativeAggregate(isMerge=[true], select=[Final_MAX(max$0) AS EXPR$0])\n +- NativeExchange(distribution=[single])\n +- NativeAggregate(select=[Partial_MAX(total_revenue) AS max$0])\n +- NativeCalc(select=[total_revenue], nativeFunctions=[], jvmFunctions=[])\n +- NativeShare(consumers=[2])\n +- NativeAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Final_SUM(sum$0) AS total_revenue])\n +- NativeExchange(distribution=[hash[supplier_no]])\n +- NativeAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS sum$0])\n +- NativeCalc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)) AS $f1], where=[SEARCH(l_shipdate, Sarg[[1996-01-01..1996-04-01)])], nativeFunctions=[], jvmFunctions=[])\n +- RowDataToArrow\n +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1996-01-01), <(l_shipdate, 1996-04-01))], project=[l_suppkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_suppkey, l_extendedprice, l_discount, l_shipdate])\n\n== Optimized Execution Plan ==\nNativeSort(orderBy=[s_suppkey ASC])\n+- NativeExchange(distribution=[single])\n +- NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], nativeFunctions=[], jvmFunctions=[])\n +- NativeJoin(joinType=[InnerJoin], where=[=(total_revenue, EXPR$0)], select=[s_suppkey, s_name, s_address, s_phone, total_revenue, EXPR$0], build=[right], singleRowJoin=[true])\n :- NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], nativeFunctions=[], jvmFunctions=[])\n : +- NativeJoin(joinType=[InnerJoin], where=[=(s_suppkey, supplier_no)], select=[s_suppkey, s_name, s_address, s_phone, supplier_no, total_revenue])\n : :- NativeExchange(distribution=[hash[s_suppkey]])\n : : +- RowDataToArrow\n : : +- TableSourceScan(table=[[default_catalog, default_database, supplier, project=[s_suppkey, s_name, s_address, s_phone], metadata=[]]], fields=[s_suppkey, s_name, s_address, s_phone])\n : +- NativeExchange(consumers=[2])\n : +- NativeShare(consumers=[2])(reuse_id=[1])\n : +- NativeAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Final_SUM(sum$0) AS total_revenue])\n : +- NativeExchange(distribution=[hash[supplier_no]])\n : +- NativeAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS sum$0])\n : +- NativeCalc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)) AS $f1], where=[SEARCH(l_shipdate, Sarg[[1996-01-01..1996-04-01)])], nativeFunctions=[], jvmFunctions=[])\n : +- RowDataToArrow\n : +- TableSourceScan(table=[[default_catalog, default_database, lineitem, filter=[and(>=(l_shipdate, 1996-01-01), <(l_shipdate, 1996-04-01))], project=[l_suppkey, l_extendedprice, l_discount, l_shipdate], metadata=[]]], fields=[l_suppkey, l_extendedprice, l_discount, l_shipdate])\n +- NativeExchange(distribution=[broadcast])\n +- NativeAggregate(isMerge=[true], select=[Final_MAX(max$0) AS EXPR$0])\n +- NativeExchange(distribution=[single])\n +- NativeAggregate(select=[Partial_MAX(total_revenue) AS max$0])\n +- NativeCalc(select=[total_revenue], nativeFunctions=[], jvmFunctions=[])\n +- Reused(reference_id=[1])\n\nStreamFusion batch: 16 native substitutions; fallback reasons=[]", "nativePlanned": true, "runs": [ { "engine": "streamfusion", "trial": -3, "jobId": "9c246cce374572afe4c90772adb8e1b1", "sourceArrowRows": 6011215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_MAX(max$0) AS EXPR$0])[680]", "recordsIn": 2, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_MAX(total_revenue) AS max$0])[678]", "recordsIn": 4923, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], native", "recordsIn": 1, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(total_revenue, EXPR$0)], select=[s_sup", "recordsIn": 4924, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeSort(orderBy=[s_suppkey ASC])[686]", "recordsIn": 2, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "0", "recordsOut": 10000, "operator": "NativeAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS ", "recordsIn": 225954, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "0", "recordsOut": 225954, "operator": "NativeCalc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)", "recordsIn": 6001215, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Fina", "recordsIn": 4923, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], native", "recordsIn": 4923, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeCalc(select=[total_revenue], nativeFunctions=[], jvmFunctions=[])[676]", "recordsIn": 4923, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(s_suppkey, supplier_no)], select=[s_su", "recordsIn": 9846, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeShareExecNode[670]", "recordsIn": 4923, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS ", "recordsIn": 0, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeCalc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)", "recordsIn": 0, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "1", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_MAX(total_revenue) AS max$0])[678]", "recordsIn": 5077, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "1", "recordsOut": 1, "operator": "NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], native", "recordsIn": 1, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "1", "recordsOut": 1, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(total_revenue, EXPR$0)], select=[s_sup", "recordsIn": 5078, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Fina", "recordsIn": 5077, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], native", "recordsIn": 5077, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeCalc(select=[total_revenue], nativeFunctions=[], jvmFunctions=[])[676]", "recordsIn": 5077, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(s_suppkey, supplier_no)], select=[s_su", "recordsIn": 10154, "jobId": "9c246cce374572afe4c90772adb8e1b1" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeShareExecNode[670]", "recordsIn": 5077, "jobId": "9c246cce374572afe4c90772adb8e1b1" } ] }, { "engine": "stock", "trial": -3, "jobId": "27a993c8aee34da3240b26182cd4942e", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "stock", "trial": -2, "jobId": "00525dc5d843ba1af4891f7df8046690", "sourceArrowRows": 0, "nativeWork": [] }, { "engine": "streamfusion", "trial": -2, "jobId": "99496e459013cb3797454f99765a6b2d", "sourceArrowRows": 6011215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 0, "operator": "NativeAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS ", "recordsIn": 0, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "0", "recordsOut": 0, "operator": "NativeCalc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)", "recordsIn": 0, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_MAX(max$0) AS EXPR$0])[754]", "recordsIn": 2, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_MAX(total_revenue) AS max$0])[752]", "recordsIn": 4923, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], native", "recordsIn": 1, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(total_revenue, EXPR$0)], select=[s_sup", "recordsIn": 4924, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeSort(orderBy=[s_suppkey ASC])[760]", "recordsIn": 2, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Fina", "recordsIn": 4923, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], native", "recordsIn": 4923, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeCalc(select=[total_revenue], nativeFunctions=[], jvmFunctions=[])[750]", "recordsIn": 4923, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(s_suppkey, supplier_no)], select=[s_su", "recordsIn": 9846, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeShareExecNode[744]", "recordsIn": 4923, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "1", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_MAX(total_revenue) AS max$0])[752]", "recordsIn": 5077, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "1", "recordsOut": 1, "operator": "NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], native", "recordsIn": 1, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "1", "recordsOut": 1, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(total_revenue, EXPR$0)], select=[s_sup", "recordsIn": 5078, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "1", "recordsOut": 10000, "operator": "NativeAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS ", "recordsIn": 225954, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "1", "recordsOut": 225954, "operator": "NativeCalc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)", "recordsIn": 6001215, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Fina", "recordsIn": 5077, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], native", "recordsIn": 5077, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeCalc(select=[total_revenue], nativeFunctions=[], jvmFunctions=[])[750]", "recordsIn": 5077, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(s_suppkey, supplier_no)], select=[s_su", "recordsIn": 10154, "jobId": "99496e459013cb3797454f99765a6b2d" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeShareExecNode[744]", "recordsIn": 5077, "jobId": "99496e459013cb3797454f99765a6b2d" } ] }, { "engine": "streamfusion", "trial": -1, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7", "sourceArrowRows": 6011215, "nativeWork": [ { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(isMerge=[true], select=[Final_MAX(max$0) AS EXPR$0])[786]", "recordsIn": 2, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_MAX(total_revenue) AS max$0])[784]", "recordsIn": 4923, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], native", "recordsIn": 1, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(total_revenue, EXPR$0)], select=[s_sup", "recordsIn": 4924, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "0", "recordsOut": 1, "operator": "NativeSort(orderBy=[s_suppkey ASC])[792]", "recordsIn": 2, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "0", "recordsOut": 10000, "operator": "NativeAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS ", "recordsIn": 225954, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "0", "recordsOut": 225954, "operator": "NativeCalc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)", "recordsIn": 6001215, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Fina", "recordsIn": 4923, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], native", "recordsIn": 4923, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeCalc(select=[total_revenue], nativeFunctions=[], jvmFunctions=[])[782]", "recordsIn": 4923, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(s_suppkey, supplier_no)], select=[s_su", "recordsIn": 9846, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "0", "recordsOut": 4923, "operator": "NativeShareExecNode[776]", "recordsIn": 4923, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeAggregate(groupBy=[supplier_no], select=[supplier_no, Partial_SUM($f1) AS ", "recordsIn": 0, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "1", "recordsOut": 0, "operator": "NativeCalc(select=[l_suppkey AS supplier_no, *(l_extendedprice, -(1, l_discount)", "recordsIn": 0, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "1", "recordsOut": 1, "operator": "NativeAggregate(select=[Partial_MAX(total_revenue) AS max$0])[784]", "recordsIn": 5077, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "1", "recordsOut": 1, "operator": "NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], native", "recordsIn": 1, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "1", "recordsOut": 1, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(total_revenue, EXPR$0)], select=[s_sup", "recordsIn": 5078, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeAggregate(isMerge=[true], groupBy=[supplier_no], select=[supplier_no, Fina", "recordsIn": 5077, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeCalc(select=[s_suppkey, s_name, s_address, s_phone, total_revenue], native", "recordsIn": 5077, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeCalc(select=[total_revenue], nativeFunctions=[], jvmFunctions=[])[782]", "recordsIn": 5077, "jobId": "bd8f9492c8aca824fffca1f1b5814ec7" }, { "attempt": "0", "subtask": "1", "recordsOut": 5077, "operator": "NativeJoin(joinType=[InnerJoin], where=[=(s_suppkey, supplier_no)], select=[s_su", "recordsIn": 10154, 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