From cb5ac389ef83ee57ec611650d23236287e0a1eb2 Mon Sep 17 00:00:00 2001 From: Michael Chavinda Date: Wed, 23 Sep 2026 12:41:30 -0700 Subject: [PATCH 1/2] fix: Reduce number of not-tested file --- _benchplot/benchplot-dict.R | 6 ++++-- _control/skipped_benchmarks.csv | 9 +++++++++ run.conf | 2 +- 3 files changed, 14 insertions(+), 3 deletions(-) diff --git a/_benchplot/benchplot-dict.R b/_benchplot/benchplot-dict.R index 8be9d696..787c9796 100644 --- a/_benchplot/benchplot-dict.R +++ b/_benchplot/benchplot-dict.R @@ -369,7 +369,8 @@ groupby.data.exceptions = {list( "chdb" = {list( )}, "haskell" = {list( - "Not tested/OOM" = c("G1_1e8_1e2_5_0", "G1_1e9_1e2_0_0","G1_1e9_1e2_0_1","G1_1e9_1e2_5_0","G1_1e9_1e1_0_0", "G1_1e9_2e0_0_0") + "Not tested: datasets with NAs" = c("G1_1e7_1e2_5_0","G1_1e8_1e2_5_0","G1_1e9_1e2_5_0"), + "Not tested/OOM" = c("G1_1e9_1e2_0_0","G1_1e9_1e2_0_1","G1_1e9_1e1_0_0","G1_1e9_2e0_0_0") )} )} groupby.exceptions = task.exceptions(groupby.query.exceptions, groupby.data.exceptions) @@ -582,7 +583,8 @@ join.data.exceptions = {list( "chdb" = {list( )}, "haskell" = {list( - "Not tested/OOM" = c("J1_1e8_NA_5_0", "J1_1e8_NA_0_1", "J1_1e9_NA_0_0") + "Not tested: datasets with NAs" = c("J1_1e7_NA_5_0","J1_1e8_NA_5_0"), + "Not tested/OOM" = c("J1_1e9_NA_0_0") )} )} join.exceptions = task.exceptions(join.query.exceptions, join.data.exceptions) diff --git a/_control/skipped_benchmarks.csv b/_control/skipped_benchmarks.csv index 9241937d..a81bbb59 100644 --- a/_control/skipped_benchmarks.csv +++ b/_control/skipped_benchmarks.csv @@ -57,6 +57,15 @@ pandas,join,J1_1e9_NA_0_0,c6id.4xlarge polars,join,J1_1e9_NA_0_0,c6id.4xlarge pydatatable,join,J1_1e9_NA_0_0,c6id.4xlarge spark,join,J1_1e9_NA_0_0,c6id.4xlarge +haskell,groupby,G1_1e7_1e2_5_0,c6id.4xlarge +haskell,groupby,G1_1e8_1e2_5_0,c6id.4xlarge +haskell,groupby,G1_1e9_1e2_0_0,c6id.4xlarge +haskell,groupby,G1_1e9_1e1_0_0,c6id.4xlarge +haskell,groupby,G1_1e9_2e0_0_0,c6id.4xlarge +haskell,groupby,G1_1e9_1e2_0_1,c6id.4xlarge +haskell,groupby,G1_1e9_1e2_5_0,c6id.4xlarge +haskell,join,J1_1e7_NA_5_0,c6id.4xlarge +haskell,join,J1_1e8_NA_5_0,c6id.4xlarge haskell,join,J1_1e7_NA_0_0,c6id.metal haskell,join,J1_1e9_NA_0_0,c6id.4xlarge haskell,join,J1_1e9_NA_0_0,c6id.metal diff --git a/run.conf b/run.conf index ec9b47c2..0efc7522 100644 --- a/run.conf +++ b/run.conf @@ -1,5 +1,5 @@ # task, used in init-setup-iteration.R -export RUN_TASKS="groupby" +export RUN_TASKS="groupby join" # solution, used in init-setup-iteration.R export RUN_SOLUTIONS="haskell" From 4e9ddfcc37260acec4a5dd62c7cab1d6fd429e8a Mon Sep 17 00:00:00 2001 From: mchav Date: Wed, 23 Sep 2026 21:02:50 +0000 Subject: [PATCH 2/2] feat: Haskell results for 1e7/1e8 groupby and join on c6id.4xlarge Batch 1790193909 (dataframe 3.6.0.0): groupby G1_1e7/1e8 x {1e2_0_0, 1e1_0_0, 2e0_0_0, 1e2_0_1} and join J1_1e7/1e8 x {NA_0_0, NA_0_1}. All 12 datasets exit 0 with complete question coverage for both runs; out_cols/out_rows match the other solutions. Co-Authored-By: Claude Opus 5.5 (1M context) --- logs.csv | 24 +++++++ time.csv | 200 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 224 insertions(+) diff --git a/logs.csv b/logs.csv index 6dc0b694..f988b27e 100644 --- a/logs.csv +++ b/logs.csv @@ -7400,3 +7400,27 @@ ip-172-31-38-245,1789588633,haskell,3.6.0.0,dataframe-3.6.0.0,join,J1_1e7_NA_0_0 ip-172-31-38-245,1789588633,haskell,3.6.0.0,dataframe-3.6.0.0,join,J1_1e7_NA_0_0,1789588986.3792,finish,2,0,c6id.4xlarge ip-172-31-38-245,1789588633,haskell,3.6.0.0,dataframe-3.6.0.0,join,J1_1e8_NA_0_0,1789589001.39435,start,,,c6id.4xlarge ip-172-31-38-245,1789588633,haskell,3.6.0.0,dataframe-3.6.0.0,join,J1_1e8_NA_0_0,1789589249.52099,finish,2,0,c6id.4xlarge +ip-172-31-38-245,1790193909,haskell,3.6.0.0,dataframe-3.6.0.0,groupby,G1_1e7_1e2_0_0,1790193909.7563,start,,,c6id.4xlarge +ip-172-31-38-245,1790193909,haskell,3.6.0.0,dataframe-3.6.0.0,groupby,G1_1e7_1e2_0_0,1790193948.95611,finish,2,0,c6id.4xlarge 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id4,10,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.105,3988.898,TRUE,29.999;79.992;499.981,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790193978.04546,groupby,G1_1e7_1e1_0_0,10000000,sum v1:v3 by id6,999965,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.25,4006.867,TRUE,2.9998597e7;7.9991898e7;4.9998074701e8,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790193978.29572,groupby,G1_1e7_1e1_0_0,10000000,sum v1:v3 by id6,999965,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.241,4008.539,TRUE,2.9998597e7;7.9991898e7;4.9998074701e8,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790193978.41211,groupby,G1_1e7_1e1_0_0,10000000,median v3 sd v3 by id4 id5,100,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.11,4008.598,TRUE,4999.573;2887.162,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790193978.52601,groupby,G1_1e7_1e1_0_0,10000000,median v3 sd v3 by id4 id5,100,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.107,4008.602,TRUE,4999.573;2887.162,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790193978.86050,groupby,G1_1e7_1e1_0_0,10000000,max v1 - min v2 by id3,999951,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.327,4008.605,TRUE,2789316.0,1.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790193979.18412,groupby,G1_1e7_1e1_0_0,10000000,max v1 - min v2 by id3,999951,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.316,4008.609,TRUE,2789316.0,1.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790193984.95087,groupby,G1_1e7_1e1_0_0,10000000,largest two v3 by id6,1999930,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,5.758,4048.285,TRUE,1.70038028928e8,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790193991.15377,groupby,G1_1e7_1e1_0_0,10000000,largest two v3 by id6,1999930,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,6.194,4688.57,TRUE,1.70038028928e8,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790193991.23685,groupby,G1_1e7_1e1_0_0,10000000,regression v1 v2 by id2 id4,100,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,7.6e-2,4688.574,TRUE,1.0e-3,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790193991.31514,groupby,G1_1e7_1e1_0_0,10000000,regression v1 v2 by id2 id4,100,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,7.2e-2,4688.574,TRUE,1.0e-3,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790193992.27443,groupby,G1_1e7_1e1_0_0,10000000,sum v3 count by id1:id6,10000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.932,4637.328,TRUE,4.9998074701e8;1.0e7,2.0e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790193992.82926,groupby,G1_1e7_1e1_0_0,10000000,sum v3 count by id1:id6,10000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.528,4647.012,TRUE,4.9998074701e8;1.0e7,2.0e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194014.10050,groupby,G1_1e7_2e0_0_0,10000000,sum v1 by id1,2,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,3.2e-2,4291.227,TRUE,3.0000054e7,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194014.13912,groupby,G1_1e7_2e0_0_0,10000000,sum v1 by id1,2,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,3.2e-2,4291.43,TRUE,3.0000054e7,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194014.20015,groupby,G1_1e7_2e0_0_0,10000000,sum v1 by id1:id2,4,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,5.4e-2,4291.461,TRUE,3.0000054e7,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194014.26424,groupby,G1_1e7_2e0_0_0,10000000,sum v1 by id1:id2,4,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,5.8e-2,4291.473,TRUE,3.0000054e7,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194014.66153,groupby,G1_1e7_2e0_0_0,10000000,sum v1 mean v3 by id3,4323566,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.382,3870.625,TRUE,3.0000054e7;2.16107547389e8,9.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194015.03813,groupby,G1_1e7_2e0_0_0,10000000,sum v1 mean v3 by id3,4323566,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.361,3875.41,TRUE,3.0000054e7;2.16107547389e8,9.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194015.15344,groupby,G1_1e7_2e0_0_0,10000000,mean v1:v3 by id4,2,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.109,3875.41,TRUE,6.0;15.997;99.987,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194015.28010,groupby,G1_1e7_2e0_0_0,10000000,mean v1:v3 by id4,2,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.12,3875.547,TRUE,6.0;15.997;99.987,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194015.66884,groupby,G1_1e7_2e0_0_0,10000000,sum v1:v3 by id6,4322014,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.37,3881.805,TRUE,3.0000054e7;7.9986418e7;4.99936032106e8,1.2e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194016.05513,groupby,G1_1e7_2e0_0_0,10000000,sum v1:v3 by id6,4322014,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.368,3959.805,TRUE,3.0000054e7;7.9986418e7;4.99936032106e8,1.2e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194016.25372,groupby,G1_1e7_2e0_0_0,10000000,median v3 sd v3 by id4 id5,4,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.192,3959.859,TRUE,199.97;115.489,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194016.44059,groupby,G1_1e7_2e0_0_0,10000000,median v3 sd v3 by id4 id5,4,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.18,3959.859,TRUE,199.97;115.489,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194016.80278,groupby,G1_1e7_2e0_0_0,10000000,max v1 - min v2 by id3,4323566,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.352,3959.859,TRUE,-8263086.0,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194017.15288,groupby,G1_1e7_2e0_0_0,10000000,max v1 - min v2 by id3,4323566,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.34,3959.859,TRUE,-8263086.0,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194024.40846,groupby,G1_1e7_2e0_0_0,10000000,largest two v3 by id6,8644028,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,7.238,4036.457,TRUE,4.86675191725e8,1.1e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194031.66031,groupby,G1_1e7_2e0_0_0,10000000,largest two v3 by id6,8644028,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,7.234,4096.457,TRUE,4.86675191725e8,1.1e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194031.74685,groupby,G1_1e7_2e0_0_0,10000000,regression v1 v2 by id2 id4,4,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,8.0e-2,4096.504,TRUE,0.0,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194031.86529,groupby,G1_1e7_2e0_0_0,10000000,regression v1 v2 by id2 id4,4,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.112,4096.504,TRUE,0.0,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194032.53012,groupby,G1_1e7_2e0_0_0,10000000,sum v3 count by id1:id6,10000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.638,4326.129,TRUE,4.99936032106e8;1.0e7,2.0e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194033.02493,groupby,G1_1e7_2e0_0_0,10000000,sum v3 count by id1:id6,10000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.468,4326.129,TRUE,4.99936032106e8;1.0e7,2.0e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194055.20530,groupby,G1_1e7_1e2_0_1,10000000,sum v1 by id1,100,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,3.2e-2,4515.234,TRUE,2.9998789e7,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194055.24505,groupby,G1_1e7_1e2_0_1,10000000,sum v1 by id1,100,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,3.3e-2,4517.359,TRUE,2.9998789e7,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194055.32813,groupby,G1_1e7_1e2_0_1,10000000,sum v1 by id1:id2,10000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,7.6e-2,4517.363,TRUE,2.9998789e7,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194055.41311,groupby,G1_1e7_1e2_0_1,10000000,sum v1 by id1:id2,10000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,7.8e-2,4517.367,TRUE,2.9998789e7,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194055.50013,groupby,G1_1e7_1e2_0_1,10000000,sum v1 mean v3 by id3,100000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,8.0e-2,4517.371,TRUE,2.9998789e7;4999719.622,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194055.59197,groupby,G1_1e7_1e2_0_1,10000000,sum v1 mean v3 by id3,100000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,8.5e-2,4517.375,TRUE,2.9998789e7;4999719.622,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194055.70050,groupby,G1_1e7_1e2_0_1,10000000,mean v1:v3 by id4,100,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.102,4517.379,TRUE,299.988;799.894;4999.767,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194055.80281,groupby,G1_1e7_1e2_0_1,10000000,mean v1:v3 by id4,100,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,9.6e-2,4517.383,TRUE,299.988;799.894;4999.767,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194055.90843,groupby,G1_1e7_1e2_0_1,10000000,sum v1:v3 by id6,100000,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,9.9e-2,4517.387,TRUE,2.9998789e7;7.998936e7;4.99976651408e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194056.01969,groupby,G1_1e7_1e2_0_1,10000000,sum v1:v3 by id6,100000,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.104,4517.391,TRUE,2.9998789e7;7.998936e7;4.99976651408e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194056.18086,groupby,G1_1e7_1e2_0_1,10000000,median v3 sd v3 by id4 id5,10000,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.155,4521.645,TRUE,499920.14;288648.108,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194056.35629,groupby,G1_1e7_1e2_0_1,10000000,median v3 sd v3 by id4 id5,10000,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.169,4036.0,TRUE,499920.14;288648.108,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194056.45378,groupby,G1_1e7_1e2_0_1,10000000,max v1 - min v2 by id3,100000,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,9.1e-2,4054.059,TRUE,399882.0,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194056.55310,groupby,G1_1e7_1e2_0_1,10000000,max v1 - min v2 by id3,100000,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,9.3e-2,4054.746,TRUE,399882.0,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194060.10071,groupby,G1_1e7_1e2_0_1,10000000,largest two v3 by id6,200000,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,3.541,4077.809,TRUE,1.9700450588e7,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194063.86917,groupby,G1_1e7_1e2_0_1,10000000,largest two v3 by id6,200000,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,3.762,4077.82,TRUE,1.9700450588e7,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194064.12201,groupby,G1_1e7_1e2_0_1,10000000,regression v1 v2 by id2 id4,10000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.246,4077.832,TRUE,9.839,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194064.24716,groupby,G1_1e7_1e2_0_1,10000000,regression v1 v2 by id2 id4,10000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.119,4077.84,TRUE,9.839,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194064.82878,groupby,G1_1e7_1e2_0_1,10000000,sum v3 count by id1:id6,10000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.555,4079.148,TRUE,4.99976651408e8;1.0e7,2.0e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194065.36206,groupby,G1_1e7_1e2_0_1,10000000,sum v3 count by id1:id6,10000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.507,4080.016,TRUE,4.99976651408e8;1.0e7,2.0e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194163.64986,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1,100,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.379,26649.293,TRUE,2.99991302e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194164.18974,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1,100,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.498,27094.941,TRUE,2.99991302e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194165.00998,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1:id2,10000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.809,27955.512,TRUE,2.99991302e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194165.83698,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1:id2,10000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.82,27698.98,TRUE,2.99991302e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194166.99011,groupby,G1_1e8_1e2_0_0,100000000,sum v1 mean v3 by id3,1000000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.145,27797.211,TRUE,2.99991302e8;5.0001192355e7,2.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194168.13247,groupby,G1_1e8_1e2_0_0,100000000,sum v1 mean v3 by id3,1000000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,1.134,27892.266,TRUE,2.99991302e8;5.0001192355e7,2.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194169.07475,groupby,G1_1e8_1e2_0_0,100000000,mean v1:v3 by id4,100,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.936,27892.289,TRUE,299.991;799.978;5000.104,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194170.02527,groupby,G1_1e8_1e2_0_0,100000000,mean v1:v3 by id4,100,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.944,27979.352,TRUE,299.991;799.978;5000.104,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194171.52031,groupby,G1_1e8_1e2_0_0,100000000,sum v1:v3 by id6,1000000,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.486,28054.379,TRUE,2.99991302e8;7.99978221e8;5.000103937772e9,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194172.97111,groupby,G1_1e8_1e2_0_0,100000000,sum v1:v3 by id6,1000000,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,1.442,28104.746,TRUE,2.99991302e8;7.99978221e8;5.000103937772e9,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194174.43552,groupby,G1_1e8_1e2_0_0,100000000,median v3 sd v3 by id4 id5,10000,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.458,28104.824,TRUE,500019.998;288668.357,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194175.90476,groupby,G1_1e8_1e2_0_0,100000000,median v3 sd v3 by id4 id5,10000,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,1.463,28104.824,TRUE,500019.998;288668.357,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194177.28754,groupby,G1_1e8_1e2_0_0,100000000,max v1 - min v2 by id3,1000000,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.375,28104.824,TRUE,3998729.0,1.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194178.59815,groupby,G1_1e8_1e2_0_0,100000000,max v1 - min v2 by id3,1000000,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,1.303,28104.824,TRUE,3998729.0,1.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194248.12480,groupby,G1_1e8_1e2_0_0,100000000,largest two v3 by id6,2000000,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,69.517,28061.707,TRUE,1.96996660391e8,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194321.91404,groupby,G1_1e8_1e2_0_0,100000000,largest two v3 by id6,2000000,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,73.78,28391.562,TRUE,1.96996660391e8,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194327.13200,groupby,G1_1e8_1e2_0_0,100000000,regression v1 v2 by id2 id4,10000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,5.211,28392.887,TRUE,1.007,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194328.03929,groupby,G1_1e8_1e2_0_0,100000000,regression v1 v2 by id2 id4,10000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.901,28392.906,TRUE,1.007,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194333.90668,groupby,G1_1e8_1e2_0_0,100000000,sum v3 count by id1:id6,100000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,5.662,28458.457,TRUE,5.00010393777e9;1.0e8,0.199,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194339.35541,groupby,G1_1e8_1e2_0_0,100000000,sum v3 count by id1:id6,100000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,5.243,28459.395,TRUE,5.00010393777e9;1.0e8,0.199,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194419.11253,groupby,G1_1e8_1e1_0_0,100000000,sum v1 by id1,10,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.387,28475.254,TRUE,3.00012466e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194419.59242,groupby,G1_1e8_1e1_0_0,100000000,sum v1 by id1,10,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.473,29238.363,TRUE,3.00012466e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194420.23132,groupby,G1_1e8_1e1_0_0,100000000,sum v1 by id1:id2,100,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.623,30000.773,TRUE,3.00012466e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194420.89708,groupby,G1_1e8_1e1_0_0,100000000,sum v1 by id1:id2,100,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.658,28359.645,TRUE,3.00012466e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194424.84092,groupby,G1_1e8_1e1_0_0,100000000,sum v1 mean v3 by id3,9999602,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,3.917,28280.66,TRUE,3.00012466e8;4.99941400876e8,2.0e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194428.54265,groupby,G1_1e8_1e1_0_0,100000000,sum v1 mean v3 by id3,9999602,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,3.675,28416.68,TRUE,3.00012466e8;4.99941400876e8,2.0e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194429.58774,groupby,G1_1e8_1e1_0_0,100000000,mean v1:v3 by id4,10,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.038,28404.051,TRUE,30.001;80.008;499.958,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194430.63033,groupby,G1_1e8_1e1_0_0,100000000,mean v1:v3 by id4,10,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,1.036,28404.051,TRUE,30.001;80.008;499.958,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194433.58799,groupby,G1_1e8_1e1_0_0,100000000,sum v1:v3 by id6,9999538,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,2.924,28404.629,TRUE,3.00012466e8;8.00079612e8;4.999575436013e9,2.7e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194436.58398,groupby,G1_1e8_1e1_0_0,100000000,sum v1:v3 by id6,9999538,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,2.962,28825.766,TRUE,3.00012466e8;8.00079612e8;4.999575436013e9,2.7e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194437.63901,groupby,G1_1e8_1e1_0_0,100000000,median v3 sd v3 by id4 id5,100,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.048,28825.848,TRUE,4999.826;2886.819,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194438.66747,groupby,G1_1e8_1e1_0_0,100000000,median v3 sd v3 by id4 id5,100,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,1.021,28825.848,TRUE,4999.826;2886.819,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194442.72385,groupby,G1_1e8_1e1_0_0,100000000,max v1 - min v2 by id3,9999602,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,4.042,28825.852,TRUE,2.7890093e7,8.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194446.36732,groupby,G1_1e8_1e1_0_0,100000000,max v1 - min v2 by id3,9999602,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,3.63,28825.855,TRUE,2.7890093e7,7.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194553.67515,groupby,G1_1e8_1e1_0_0,100000000,largest two v3 by id6,19999076,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,107.276,27705.59,TRUE,1.700236790941e9,2.5e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194663.08309,groupby,G1_1e8_1e1_0_0,100000000,largest two v3 by id6,19999076,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,109.376,28098.129,TRUE,1.700236790941e9,2.5e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194663.79844,groupby,G1_1e8_1e1_0_0,100000000,regression v1 v2 by id2 id4,100,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.709,28854.242,TRUE,0.0,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194664.52923,groupby,G1_1e8_1e1_0_0,100000000,regression v1 v2 by id2 id4,100,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.724,28856.277,TRUE,0.0,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194673.81427,groupby,G1_1e8_1e1_0_0,100000000,sum v3 count by id1:id6,100000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,9.082,29497.012,TRUE,4.999575436013e9;1.0e8,0.197,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194678.84302,groupby,G1_1e8_1e1_0_0,100000000,sum v3 count by id1:id6,100000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,4.826,29497.953,TRUE,4.999575436013e9;1.0e8,0.196,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194759.09701,groupby,G1_1e8_2e0_0_0,100000000,sum v1 by id1,2,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.538,28479.098,TRUE,2.99988126e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194759.73770,groupby,G1_1e8_2e0_0_0,100000000,sum v1 by id1,2,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.634,29242.23,TRUE,2.99988126e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194761.26915,groupby,G1_1e8_2e0_0_0,100000000,sum v1 by id1:id2,4,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.517,29759.691,TRUE,2.99988126e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194762.42231,groupby,G1_1e8_2e0_0_0,100000000,sum v1 by id1:id2,4,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,1.146,28406.133,TRUE,2.99988126e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194766.62022,groupby,G1_1e8_2e0_0_0,100000000,sum v1 mean v3 by id3,43233017,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,4.105,28149.039,TRUE,2.99988126e8;2.161776167331e9,8.6e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194770.48115,groupby,G1_1e8_2e0_0_0,100000000,sum v1 mean v3 by id3,43233017,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,3.767,28149.113,TRUE,2.99988126e8;2.161776167331e9,8.7e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194771.70763,groupby,G1_1e8_2e0_0_0,100000000,mean v1:v3 by id4,2,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.22,28149.113,TRUE,6.0;15.999;100.001,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194772.93809,groupby,G1_1e8_2e0_0_0,100000000,mean v1:v3 by id4,2,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,1.224,28149.113,TRUE,6.0;15.999;100.001,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194776.46104,groupby,G1_1e8_2e0_0_0,100000000,sum v1:v3 by id6,43238066,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,3.394,28565.184,TRUE,2.99988126e8;7.9995222e8;5.000051370459e9,0.122,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194779.93157,groupby,G1_1e8_2e0_0_0,100000000,sum v1:v3 by id6,43238066,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,3.346,28565.426,TRUE,2.99988126e8;7.9995222e8;5.000051370459e9,0.117,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194781.89946,groupby,G1_1e8_2e0_0_0,100000000,median v3 sd v3 by id4 id5,4,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.961,28565.48,TRUE,199.998;115.468,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194784.22320,groupby,G1_1e8_2e0_0_0,100000000,median v3 sd v3 by id4 id5,4,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,2.317,28565.48,TRUE,199.998;115.468,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194787.84556,groupby,G1_1e8_2e0_0_0,100000000,max v1 - min v2 by id3,43233017,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,3.584,28565.48,TRUE,-8.2715914e7,3.2e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194791.45020,groupby,G1_1e8_2e0_0_0,100000000,max v1 - min v2 by id3,43233017,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,3.567,28565.48,TRUE,-8.2715914e7,3.1e-2,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790194933.17327,groupby,G1_1e8_2e0_0_0,100000000,largest two v3 by id6,86476132,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,141.607,27867.238,TRUE,4.868446977619e9,0.109,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195063.26357,groupby,G1_1e8_2e0_0_0,100000000,largest two v3 by id6,86476132,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,129.974,27418.297,TRUE,4.868446977619e9,0.109,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195064.50374,groupby,G1_1e8_2e0_0_0,100000000,regression v1 v2 by id2 id4,4,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.233,27418.363,TRUE,0.0,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195065.87804,groupby,G1_1e8_2e0_0_0,100000000,regression v1 v2 by id2 id4,4,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,1.368,27418.363,TRUE,0.0,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195072.16066,groupby,G1_1e8_2e0_0_0,100000000,sum v3 count by id1:id6,100000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,6.08,29386.363,TRUE,5.000051370458e9;1.0e8,0.197,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195077.20501,groupby,G1_1e8_2e0_0_0,100000000,sum v3 count by id1:id6,100000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,4.842,29386.406,TRUE,5.000051370458e9;1.0e8,0.196,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195176.57832,groupby,G1_1e8_1e2_0_1,100000000,sum v1 by id1,100,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.482,28948.172,TRUE,2.99991302e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195176.95632,groupby,G1_1e8_1e2_0_1,100000000,sum v1 by id1,100,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.371,29711.297,TRUE,2.99991302e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195177.80080,groupby,G1_1e8_1e2_0_1,100000000,sum v1 by id1:id2,10000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.831,28991.766,TRUE,2.99991302e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195178.57064,groupby,G1_1e8_1e2_0_1,100000000,sum v1 by id1:id2,10000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.763,27811.121,TRUE,2.99991302e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195179.72626,groupby,G1_1e8_1e2_0_1,100000000,sum v1 mean v3 by id3,1000000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.147,28035.246,TRUE,2.99991302e8;5.0001192355e7,2.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195180.87400,groupby,G1_1e8_1e2_0_1,100000000,sum v1 mean v3 by id3,1000000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,1.139,28034.273,TRUE,2.99991302e8;5.0001192355e7,2.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195181.81690,groupby,G1_1e8_1e2_0_1,100000000,mean v1:v3 by id4,100,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,0.936,28034.277,TRUE,299.991;799.978;5000.104,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195182.75309,groupby,G1_1e8_1e2_0_1,100000000,mean v1:v3 by id4,100,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.93,28034.277,TRUE,299.991;799.978;5000.104,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195184.19456,groupby,G1_1e8_1e2_0_1,100000000,sum v1:v3 by id6,1000000,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.432,28034.277,TRUE,2.99991302e8;7.99978221e8;5.000103937772e9,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195185.64112,groupby,G1_1e8_1e2_0_1,100000000,sum v1:v3 by id6,1000000,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,1.437,28034.277,TRUE,2.99991302e8;7.99978221e8;5.000103937772e9,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195187.11127,groupby,G1_1e8_1e2_0_1,100000000,median v3 sd v3 by id4 id5,10000,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.464,28034.332,TRUE,500019.998;288668.357,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195188.56723,groupby,G1_1e8_1e2_0_1,100000000,median v3 sd v3 by id4 id5,10000,4,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,1.449,28034.332,TRUE,500019.998;288668.357,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195189.85275,groupby,G1_1e8_1e2_0_1,100000000,max v1 - min v2 by id3,1000000,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,1.278,28034.332,TRUE,3998729.0,1.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195191.15700,groupby,G1_1e8_1e2_0_1,100000000,max v1 - min v2 by id3,1000000,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,1.297,28034.332,TRUE,3998729.0,1.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195261.00520,groupby,G1_1e8_1e2_0_1,100000000,largest two v3 by id6,2000000,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,69.839,28176.461,TRUE,1.96996660391e8,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195330.46935,groupby,G1_1e8_1e2_0_1,100000000,largest two v3 by id6,2000000,2,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,69.455,28471.449,TRUE,1.96996660391e8,3.0e-3,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195335.65849,groupby,G1_1e8_1e2_0_1,100000000,regression v1 v2 by id2 id4,10000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,5.183,28471.809,TRUE,1.007,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195336.52912,groupby,G1_1e8_1e2_0_1,100000000,regression v1 v2 by id2 id4,10000,3,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,0.864,28471.863,TRUE,1.007,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195342.23758,groupby,G1_1e8_1e2_0_1,100000000,sum v3 count by id1:id6,100000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,1,5.506,28559.25,TRUE,5.000103937773e9;1.0e8,0.196,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195347.80148,groupby,G1_1e8_1e2_0_1,100000000,sum v3 count by id1:id6,100000000,8,haskell,3.6.0.0,dataframe-3.6.0.0,groupBy,2,5.361,28560.355,TRUE,5.000103937773e9;1.0e8,0.196,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195381.03127,join,J1_1e7_NA_0_0,10000000,small inner on int,8998860,9,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,8.7e-2,4408.059,TRUE,4.50015153577e8;3.47720187393e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195381.17536,join,J1_1e7_NA_0_0,10000000,small inner on int,8998860,9,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,6.7e-2,4408.184,TRUE,4.50015153577e8;3.47720187393e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195381.35054,join,J1_1e7_NA_0_0,10000000,medium inner on int,8998412,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,9.8e-2,4408.391,TRUE,4.49954076026e8;4.49999844938e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195381.51739,join,J1_1e7_NA_0_0,10000000,medium inner on int,8998412,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,9.0e-2,4408.395,TRUE,4.49954076026e8;4.49999844938e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195381.71691,join,J1_1e7_NA_0_0,10000000,medium outer on int,10000000,11,haskell,3.6.0.0,dataframe-3.6.0.0,leftJoin,1,0.123,4408.398,TRUE,5.00043740752e8;4.49999844938e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195384.26419,join,J1_1e7_NA_0_0,10000000,medium outer on int,10000000,11,haskell,3.6.0.0,dataframe-3.6.0.0,leftJoin,2,0.131,4442.535,TRUE,5.00043740752e8;4.49999844938e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195386.79220,join,J1_1e7_NA_0_0,10000000,medium inner on factor,8998412,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,0.1,4442.539,TRUE,4.49954076026e8;4.49999844938e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195386.96937,join,J1_1e7_NA_0_0,10000000,medium inner on factor,8998412,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,0.1,4442.543,TRUE,4.49954076026e8;4.49999844938e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195387.92461,join,J1_1e7_NA_0_0,10000000,big inner on int,9000000,13,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,0.878,4443.711,TRUE,4.5003209184e8;4.49860428616e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195388.84959,join,J1_1e7_NA_0_0,10000000,big inner on int,9000000,13,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,0.848,4443.398,TRUE,4.5003209184e8;4.49860428616e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195414.73944,join,J1_1e7_NA_0_1,10000000,small inner on int,8998860,9,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,8.5e-2,4469.742,TRUE,4.49966347499e8;3.86180313985e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195414.87977,join,J1_1e7_NA_0_1,10000000,small inner on int,8998860,9,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,6.3e-2,4469.875,TRUE,4.49966347499e8;3.86180313985e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195415.03966,join,J1_1e7_NA_0_1,10000000,medium inner on int,8998412,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,8.3e-2,4469.883,TRUE,4.49944124782e8;4.48928499667e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195415.18963,join,J1_1e7_NA_0_1,10000000,medium inner on int,8998412,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,7.3e-2,4469.891,TRUE,4.49944124782e8;4.48928499667e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195415.37367,join,J1_1e7_NA_0_1,10000000,medium outer on int,10000000,11,haskell,3.6.0.0,dataframe-3.6.0.0,leftJoin,1,0.107,4469.895,TRUE,5.00043740752e8;4.48928499667e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195417.88521,join,J1_1e7_NA_0_1,10000000,medium outer on int,10000000,11,haskell,3.6.0.0,dataframe-3.6.0.0,leftJoin,2,0.104,4506.98,TRUE,5.00043740752e8;4.48928499667e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195420.38947,join,J1_1e7_NA_0_1,10000000,medium inner on factor,8998412,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,8.9e-2,4506.984,TRUE,4.49944124782e8;4.48928499667e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195420.53895,join,J1_1e7_NA_0_1,10000000,medium inner on factor,8998412,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,7.2e-2,4506.988,TRUE,4.49944124782e8;4.48928499667e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195421.48118,join,J1_1e7_NA_0_1,10000000,big inner on int,9000000,13,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,0.865,4505.156,TRUE,4.50020346491e8;4.49938346033e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195422.37376,join,J1_1e7_NA_0_1,10000000,big inner on int,9000000,13,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,0.815,4505.824,TRUE,4.50020346491e8;4.49938346033e8,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195586.53792,join,J1_1e8_NA_0_0,100000000,small inner on int,89997128,9,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,0.747,27172.402,TRUE,4.499430832391e9;4.388703870728e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195587.72474,join,J1_1e8_NA_0_0,100000000,small inner on int,89997128,9,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,0.479,27172.746,TRUE,4.499430832391e9;4.388703870728e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195589.24624,join,J1_1e8_NA_0_0,100000000,medium inner on int,89995511,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,0.817,27172.777,TRUE,4.499423746366e9;4.507751463272e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195590.75427,join,J1_1e8_NA_0_0,100000000,medium inner on int,89995511,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,0.806,27172.781,TRUE,4.499423746366e9;4.507751463272e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195592.52226,join,J1_1e8_NA_0_0,100000000,medium outer on int,100000000,11,haskell,3.6.0.0,dataframe-3.6.0.0,leftJoin,1,1.066,27060.789,TRUE,4.999542477919e9;4.507751463272e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195622.22177,join,J1_1e8_NA_0_0,100000000,medium outer on int,100000000,11,haskell,3.6.0.0,dataframe-3.6.0.0,leftJoin,2,1.073,28959.633,TRUE,4.999542477919e9;4.507751463272e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195651.39101,join,J1_1e8_NA_0_0,100000000,medium inner on factor,89995511,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,0.959,28961.645,TRUE,4.499423746366e9;4.507751463272e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195653.05133,join,J1_1e8_NA_0_0,100000000,medium inner on factor,89995511,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,0.956,28961.691,TRUE,4.499423746366e9;4.507751463272e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195663.47516,join,J1_1e8_NA_0_0,100000000,big inner on int,90000000,13,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,9.718,29551.113,TRUE,4.499590098079e9;4.499913694241e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195673.46518,join,J1_1e8_NA_0_0,100000000,big inner on int,90000000,13,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,9.226,29138.105,TRUE,4.499590098079e9;4.499913694241e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195833.19070,join,J1_1e8_NA_0_1,100000000,small inner on int,89997128,9,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,0.694,27125.09,TRUE,4.499308287261e9;3.953465649282e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195834.38160,join,J1_1e8_NA_0_1,100000000,small inner on int,89997128,9,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,0.477,27124.938,TRUE,4.499308287261e9;3.953465649282e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195835.65870,join,J1_1e8_NA_0_1,100000000,medium inner on int,89995511,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,0.575,27225.027,TRUE,4.499224468493e9;4.506958891206e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195836.94283,join,J1_1e8_NA_0_1,100000000,medium inner on int,89995511,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,0.582,27225.031,TRUE,4.499224468493e9;4.506958891206e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195838.41184,join,J1_1e8_NA_0_1,100000000,medium outer on int,100000000,11,haskell,3.6.0.0,dataframe-3.6.0.0,leftJoin,1,0.767,27356.582,TRUE,4.999542477919e9;4.506958891206e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195867.62856,join,J1_1e8_NA_0_1,100000000,medium outer on int,100000000,11,haskell,3.6.0.0,dataframe-3.6.0.0,leftJoin,2,0.813,28965.648,TRUE,4.999542477919e9;4.506958891206e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195896.77117,join,J1_1e8_NA_0_1,100000000,medium inner on factor,89995511,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,0.722,28965.328,TRUE,4.499224468493e9;4.506958891206e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195898.20085,join,J1_1e8_NA_0_1,100000000,medium inner on factor,89995511,11,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,0.724,28965.332,TRUE,4.499224468493e9;4.506958891206e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195908.62956,join,J1_1e8_NA_0_1,100000000,big inner on int,90000000,13,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,1,9.724,28962.445,TRUE,4.499618842793e9;4.49995183333e9,0.0,,FALSE,c6id.4xlarge +ip-172-31-38-245,1790193909,1790195918.63858,join,J1_1e8_NA_0_1,100000000,big inner on int,90000000,13,haskell,3.6.0.0,dataframe-3.6.0.0,innerJoin,2,9.276,29185.539,TRUE,4.499618842793e9;4.49995183333e9,0.0,,FALSE,c6id.4xlarge