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January 10, 2021 15:20
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run_gb_5GB_polars_10-01-2021
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| nodename,batch,timestamp,task,data,in_rows,question,out_rows,out_cols,solution,version,git,fun,run,time_sec,mem_gb,cache,chk,chk_time_sec,comment,on_disk | |
| instance-2,,1610130993.9517767,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1,100,2,polars,0.4.0,unknown,.groupby,1,0.296,0.855,TRUE,30001016,0.0,,FALSE | |
| instance-2,,1610130994.2619028,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1,100,2,polars,0.4.0,unknown,.groupby,2,0.287,0.847,TRUE,30001016,0.0,,FALSE | |
| instance-2,,1610130994.8431137,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1:id2,10000,3,polars,0.4.0,unknown,.groupby,1,0.575,0.92,TRUE,30001016,0.0,,FALSE | |
| instance-2,,1610130995.4009216,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1:id2,10000,3,polars,0.4.0,unknown,.groupby,2,0.552,0.924,TRUE,30001016,0.0,,FALSE | |
| instance-2,,1610130995.930853,groupby,G1_1e7_1e2_0_0,10000000,sum v1 mean v3 by id3,100000,3,polars,0.4.0,unknown,.groupby,1,0.522,0.832,TRUE,[30001016. 5001212.36305564],0.001,,FALSE | |
| instance-2,,1610130996.471266,groupby,G1_1e7_1e2_0_0,10000000,sum v1 mean v3 by id3,100000,3,polars,0.4.0,unknown,.groupby,2,0.533,0.779,TRUE,[30001016. 5001212.36305563],0.001,,FALSE | |
| instance-2,,1610130996.8414438,groupby,G1_1e7_1e2_0_0,10000000,mean v1:v3 by id4,100,4,polars,0.4.0,unknown,.groupby,1,0.363,0.808,TRUE,[ 300.01000656 799.94999215 5001.13907122],0.001,,FALSE | |
| instance-2,,1610130997.2086804,groupby,G1_1e7_1e2_0_0,10000000,mean v1:v3 by id4,100,4,polars,0.4.0,unknown,.groupby,2,0.361,0.871,TRUE,[ 300.01000656 799.94999215 5001.13907122],0.001,,FALSE | |
| instance-2,,1610130997.8118002,groupby,G1_1e7_1e2_0_0,10000000,sum v1:v3 by id6,100000,4,polars,0.4.0,unknown,.groupby,1,0.596,0.939,TRUE,[3.00010160e+07 5.00113714e+08 5.00113714e+08],0.001,,FALSE | |
| instance-2,,1610130998.4093094,groupby,G1_1e7_1e2_0_0,10000000,sum v1:v3 by id6,100000,4,polars,0.4.0,unknown,.groupby,2,0.591,0.834,TRUE,[3.00010160e+07 5.00113714e+08 5.00113714e+08],0.001,,FALSE | |
| instance-2,,1610130999.2278378,groupby,G1_1e7_1e2_0_0,10000000,median v3 sd v3 by id4 id5,10000,4,polars,0.4.0,unknown,.groupby,1,0.811,0.915,TRUE,[499801.606782 288694.55506956],0.001,,FALSE | |
| instance-2,,1610131000.03882,groupby,G1_1e7_1e2_0_0,10000000,median v3 sd v3 by id4 id5,10000,4,polars,0.4.0,unknown,.groupby,2,0.804,0.919,TRUE,[499801.606782 288694.55506956],0.001,,FALSE | |
| instance-2,,1610131000.569038,groupby,G1_1e7_1e2_0_0,10000000,max v1 - min v2 by id3,100000,2,polars,0.4.0,unknown,.groupby,1,0.524,0.834,TRUE,399881,0.0,,FALSE | |
| instance-2,,1610131001.0922265,groupby,G1_1e7_1e2_0_0,10000000,max v1 - min v2 by id3,100000,2,polars,0.4.0,unknown,.groupby,2,0.517,0.886,TRUE,399881,0.0,,FALSE | |
| instance-2,,1610131005.2148216,groupby,G1_1e7_1e2_0_0,10000000,largest two v3 by id6,200000,2,polars,0.4.0,unknown,.groupby,1,4.116,0.784,TRUE,19700499.507,0.0,,FALSE | |
| instance-2,,1610131009.2810063,groupby,G1_1e7_1e2_0_0,10000000,largest two v3 by id6,200000,2,polars,0.4.0,unknown,.groupby,2,4.06,0.914,TRUE,19700499.507,0.0,,FALSE | |
| instance-2,,1610131011.2362368,groupby,G1_1e7_1e2_0_0,10000000,regression v1 v2 by id2 id4,10000,3,polars,0.4.0,unknown,.groupby,1,1.949,0.924,TRUE,9.899,0.0,,FALSE | |
| instance-2,,1610131013.1812575,groupby,G1_1e7_1e2_0_0,10000000,regression v1 v2 by id2 id4,10000,3,polars,0.4.0,unknown,.groupby,2,1.939,0.949,TRUE,9.899,0.0,,FALSE | |
| instance-2,,1610131016.856498,groupby,G1_1e7_1e2_0_0,10000000,sum v3 count by id1:id6,10000000,8,polars,0.4.0,unknown,.groupby,1,3.661,1.565,TRUE,[5.00113714e+08 1.00000000e+07],0.008,,FALSE | |
| instance-2,,1610131021.4412668,groupby,G1_1e7_1e2_0_0,10000000,sum v3 count by id1:id6,10000000,8,polars,0.4.0,unknown,.groupby,2,4.569,1.617,TRUE,[5.00113714e+08 1.00000000e+07],0.008,,FALSE | |
| instance-2,,1610131023.2725883,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1,100,2,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,0.871,0.597,TRUE,30001016,0.0,,FALSE | |
| instance-2,,1610131024.1522276,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1,100,2,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,0.867,0.597,TRUE,30001016,0.0,,FALSE | |
| instance-2,,1610131025.7868552,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1:id2,10000,3,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,1.631,0.597,TRUE,30001016,0.0,,FALSE | |
| instance-2,,1610131027.445877,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1:id2,10000,3,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,1.655,0.597,TRUE,30001016,0.0,,FALSE | |
| instance-2,,1610131029.344177,groupby,G1_1e7_1e2_0_0,10000000,sum v1 mean v3 by id3,100000,3,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,1.893,0.599,TRUE,30001016;5001212.363,0.002,,FALSE | |
| instance-2,,1610131031.2462964,groupby,G1_1e7_1e2_0_0,10000000,sum v1 mean v3 by id3,100000,3,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,1.897,0.599,TRUE,30001016;5001212.363,0.002,,FALSE | |
| instance-2,,1610131032.341429,groupby,G1_1e7_1e2_0_0,10000000,mean v1:v3 by id4,100,4,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,1.09,0.606,TRUE,300.01;799.95;5001.139,0.0,,FALSE | |
| instance-2,,1610131033.432987,groupby,G1_1e7_1e2_0_0,10000000,mean v1:v3 by id4,100,4,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,1.088,0.606,TRUE,300.01;799.95;5001.139,0.0,,FALSE | |
| instance-2,,1610131033.7688963,groupby,G1_1e7_1e2_0_0,10000000,sum v1:v3 by id6,100000,4,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,0.33,0.607,TRUE,30001016;79995057;500113714.213,0.003,,FALSE | |
| instance-2,,1610131034.087367,groupby,G1_1e7_1e2_0_0,10000000,sum v1:v3 by id6,100000,4,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,0.312,0.616,TRUE,30001016;79995057;500113714.213,0.002,,FALSE | |
| instance-2,,1610131035.0159926,groupby,G1_1e7_1e2_0_0,10000000,median v3 sd v3 by id4 id5,10000,4,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,0.924,0.616,TRUE,500057.654;288694.555,0.0,,FALSE | |
| instance-2,,1610131035.952596,groupby,G1_1e7_1e2_0_0,10000000,median v3 sd v3 by id4 id5,10000,4,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,0.933,0.616,TRUE,500057.654;288694.555,0.0,,FALSE | |
| instance-2,,1610131037.8209314,groupby,G1_1e7_1e2_0_0,10000000,max v1 - min v2 by id3,100000,2,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,1.863,0.616,TRUE,399881,0.002,,FALSE | |
| instance-2,,1610131039.6963115,groupby,G1_1e7_1e2_0_0,10000000,max v1 - min v2 by id3,100000,2,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,1.869,0.616,TRUE,399881,0.002,,FALSE | |
| instance-2,,1610131041.1500044,groupby,G1_1e7_1e2_0_0,10000000,largest two v3 by id6,200000,2,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,1.425,0.653,TRUE,19700499.507,0.024,,FALSE | |
| instance-2,,1610131042.5959876,groupby,G1_1e7_1e2_0_0,10000000,largest two v3 by id6,200000,2,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,1.416,0.653,TRUE,19700499.507,0.024,,FALSE | |
| instance-2,,1610131044.1128128,groupby,G1_1e7_1e2_0_0,10000000,regression v1 v2 by id2 id4,10000,3,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,1.511,0.653,TRUE,9.899,0.0,,FALSE | |
| instance-2,,1610131045.6185305,groupby,G1_1e7_1e2_0_0,10000000,regression v1 v2 by id2 id4,10000,3,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,1.501,0.653,TRUE,9.899,0.0,,FALSE | |
| instance-2,,1610131055.4012413,groupby,G1_1e7_1e2_0_0,10000000,sum v3 count by id1:id6,10000000,8,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,9.638,0.802,TRUE,500113714.213;10000000,0.14,,FALSE | |
| instance-2,,1610131065.0449727,groupby,G1_1e7_1e2_0_0,10000000,sum v3 count by id1:id6,10000000,8,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,9.499,0.802,TRUE,500113714.213;10000000,0.14,,FALSE | |
| instance-2,,1610131097.9669807,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1,100,2,spark,3.0.1,,.sql,1,2.656,0.033,TRUE,30001016,0.654,,FALSE | |
| instance-2,,1610131101.6486306,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1,100,2,spark,3.0.1,,.sql,2,1.294,0.033,TRUE,30001016,1.033,,FALSE | |
| instance-2,,1610131105.8653245,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1:id2,10000,3,spark,3.0.1,,.sql,1,2.012,0.033,TRUE,30001016,0.309,,FALSE | |
| instance-2,,1610131110.2769413,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1:id2,10000,3,spark,3.0.1,,.sql,2,1.585,0.033,TRUE,30001016,1.382,,FALSE | |
| instance-2,,1610131115.5427656,groupby,G1_1e7_1e2_0_0,10000000,sum v1 mean v3 by id3,100000,3,spark,3.0.1,,.sql,1,2.365,0.033,TRUE,30001016;5001212.363,0.345,,FALSE | |
| instance-2,,1610131121.2806642,groupby,G1_1e7_1e2_0_0,10000000,sum v1 mean v3 by id3,100000,3,spark,3.0.1,,.sql,2,1.794,0.033,TRUE,30001016;5001212.363,1.6,,FALSE | |
| instance-2,,1610131126.2216635,groupby,G1_1e7_1e2_0_0,10000000,mean v1:v3 by id4,100,4,spark,3.0.1,,.sql,1,1.19,0.033,TRUE,300.01;799.95;5001.139,0.328,,FALSE | |
| instance-2,,1610131128.7633011,groupby,G1_1e7_1e2_0_0,10000000,mean v1:v3 by id4,100,4,spark,3.0.1,,.sql,2,0.891,0.033,TRUE,300.01;799.95;5001.139,0.832,,FALSE | |
| instance-2,,1610131132.0212455,groupby,G1_1e7_1e2_0_0,10000000,sum v1:v3 by id6,100000,4,spark,3.0.1,,.sql,1,1.685,0.033,TRUE,30001016;79995057;500113714.213,0.297,,FALSE | |
| instance-2,,1610131135.6236126,groupby,G1_1e7_1e2_0_0,10000000,sum v1:v3 by id6,100000,4,spark,3.0.1,,.sql,2,1.259,0.033,TRUE,30001016;79995057;500113714.213,1.16,,FALSE | |
| instance-2,,1610131139.9460394,groupby,G1_1e7_1e2_0_0,10000000,max v1 - min v2 by id3,100000,2,spark,3.0.1,,.sql,1,2.24,0.033,TRUE,399881,0.262,,FALSE | |
| instance-2,,1610131144.6642704,groupby,G1_1e7_1e2_0_0,10000000,max v1 - min v2 by id3,100000,2,spark,3.0.1,,.sql,2,1.705,0.033,TRUE,399881,1.561,,FALSE | |
| instance-2,,1610131153.3547263,groupby,G1_1e7_1e2_0_0,10000000,largest two v3 by id6,200000,2,spark,3.0.1,,.sql,1,5.722,0.033,TRUE,19700499.507,0.283,,FALSE | |
| instance-2,,1610131165.099685,groupby,G1_1e7_1e2_0_0,10000000,largest two v3 by id6,200000,2,spark,3.0.1,,.sql,2,3.862,0.033,TRUE,19700499.507,3.647,,FALSE | |
| instance-2,,1610131170.00319,groupby,G1_1e7_1e2_0_0,10000000,regression v1 v2 by id2 id4,10000,3,spark,3.0.1,,.sql,1,2.156,0.033,TRUE,9.899,0.283,,FALSE | |
| instance-2,,1610131173.4774039,groupby,G1_1e7_1e2_0_0,10000000,regression v1 v2 by id2 id4,10000,3,spark,3.0.1,,.sql,2,1.261,0.033,TRUE,9.899,1.113,,FALSE | |
| instance-2,,1610131189.3962405,groupby,G1_1e7_1e2_0_0,10000000,sum v3 count by id1:id6,10000000,8,spark,3.0.1,,.sql,1,13.256,0.033,TRUE,500113714.213;10000000,0.517,,FALSE | |
| instance-2,,1610131212.7994137,groupby,G1_1e7_1e2_0_0,10000000,sum v3 count by id1:id6,10000000,8,spark,3.0.1,,.sql,2,12.434,0.033,TRUE,500113714.213;10000000,5.867,,FALSE | |
| instance-2,,1610131234.6162522,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1,100,2,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,0.306,0.488,TRUE,30001016,0.0,,FALSE | |
| instance-2,,1610131234.940804,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1,100,2,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,0.293,0.498,TRUE,30001016,0.0,,FALSE | |
| instance-2,,1610131235.6983328,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1:id2,10000,3,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,0.726,0.507,TRUE,30001016,0.0,,FALSE | |
| instance-2,,1610131236.4291236,groupby,G1_1e7_1e2_0_0,10000000,sum v1 by id1:id2,10000,3,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,0.715,0.507,TRUE,30001016,0.0,,FALSE | |
| instance-2,,1610131237.541961,groupby,G1_1e7_1e2_0_0,10000000,sum v1 mean v3 by id3,100000,3,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,1.079,0.498,TRUE,30001016;5001212.363,0.001,,FALSE | |
| instance-2,,1610131238.576193,groupby,G1_1e7_1e2_0_0,10000000,sum v1 mean v3 by id3,100000,3,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,1.015,0.498,TRUE,30001016;5001212.363,0.001,,FALSE | |
| instance-2,,1610131238.919859,groupby,G1_1e7_1e2_0_0,10000000,mean v1:v3 by id4,100,4,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,0.312,0.498,TRUE,300.01;799.95;5001.139,0.001,,FALSE | |
| instance-2,,1610131239.2512553,groupby,G1_1e7_1e2_0_0,10000000,mean v1:v3 by id4,100,4,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,0.313,0.498,TRUE,300.01;799.95;5001.139,0.001,,FALSE | |
| instance-2,,1610131239.9219913,groupby,G1_1e7_1e2_0_0,10000000,sum v1:v3 by id6,100000,4,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,0.64,0.498,TRUE,30001016;79995057;500113714.213,0.001,,FALSE | |
| instance-2,,1610131240.5882828,groupby,G1_1e7_1e2_0_0,10000000,sum v1:v3 by id6,100000,4,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,0.647,0.498,TRUE,30001016;79995057;500113714.213,0.001,,FALSE | |
| instance-2,,1610131241.7103753,groupby,G1_1e7_1e2_0_0,10000000,median v3 sd v3 by id4 id5,10000,4,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,1.068,0.499,TRUE,500057.654;288694.555,0.024,,FALSE | |
| instance-2,,1610131242.7468889,groupby,G1_1e7_1e2_0_0,10000000,median v3 sd v3 by id4 id5,10000,4,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,1.012,0.499,TRUE,500057.654;288694.555,0.004,,FALSE | |
| instance-2,,1610131243.8439994,groupby,G1_1e7_1e2_0_0,10000000,max v1 - min v2 by id3,100000,2,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,1.067,0.499,TRUE,399881,0.0,,FALSE | |
| instance-2,,1610131244.881536,groupby,G1_1e7_1e2_0_0,10000000,max v1 - min v2 by id3,100000,2,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,1.017,0.499,TRUE,399881,0.0,,FALSE | |
| instance-2,,1610131250.2664697,groupby,G1_1e7_1e2_0_0,10000000,largest two v3 by id6,200000,2,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,5.357,0.629,TRUE,19700499.507,0.001,,FALSE | |
| instance-2,,1610131255.6682794,groupby,G1_1e7_1e2_0_0,10000000,largest two v3 by id6,200000,2,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,5.385,0.629,TRUE,19700499.507,0.001,,FALSE | |
| instance-2,,1610131269.4419138,groupby,G1_1e7_1e2_0_0,10000000,regression v1 v2 by id2 id4,10000,3,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,13.744,0.61,TRUE,9.899,0.0,,FALSE | |
| instance-2,,1610131283.019968,groupby,G1_1e7_1e2_0_0,10000000,regression v1 v2 by id2 id4,10000,3,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,13.562,0.647,TRUE,9.899,0.0,,FALSE | |
| instance-2,,1610131309.338514,groupby,G1_1e7_1e2_0_0,10000000,sum v3 count by id1:id6,10000000,8,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,26.262,1.169,TRUE,500113714.213;10000000,0.029,,FALSE | |
| instance-2,,1610131335.5635822,groupby,G1_1e7_1e2_0_0,10000000,sum v3 count by id1:id6,10000000,8,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,26.176,1.169,TRUE,500113714.213;10000000,0.029,,FALSE | |
| instance-2,,1610131479.745378,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1,100,2,polars,0.4.0,unknown,.groupby,1,2.934,4.187,TRUE,300012972,0.0,,FALSE | |
| instance-2,,1610131482.554416,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1,100,2,polars,0.4.0,unknown,.groupby,2,2.785,4.242,TRUE,300012972,0.0,,FALSE | |
| instance-2,,1610131488.668117,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1:id2,10000,3,polars,0.4.0,unknown,.groupby,1,6.107,4.245,TRUE,300012972,0.0,,FALSE | |
| instance-2,,1610131494.940621,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1:id2,10000,3,polars,0.4.0,unknown,.groupby,2,6.266,4.233,TRUE,300012972,0.0,,FALSE | |
| instance-2,,1610131502.9473503,groupby,G1_1e8_1e2_0_0,100000000,sum v1 mean v3 by id3,1000000,3,polars,0.4.0,unknown,.groupby,1,7.997,4.249,TRUE,[3.00012972e+08 4.99971198e+07],0.002,,FALSE | |
| instance-2,,1610131510.7553241,groupby,G1_1e8_1e2_0_0,100000000,sum v1 mean v3 by id3,1000000,3,polars,0.4.0,unknown,.groupby,2,7.8,4.257,TRUE,[3.00012972e+08 4.99971198e+07],0.002,,FALSE | |
| instance-2,,1610131514.4501054,groupby,G1_1e8_1e2_0_0,100000000,mean v1:v3 by id4,100,4,polars,0.4.0,unknown,.groupby,1,3.687,4.393,TRUE,[ 300.01294329 800.0218764 4999.70853878],0.001,,FALSE | |
| instance-2,,1610131518.0430064,groupby,G1_1e8_1e2_0_0,100000000,mean v1:v3 by id4,100,4,polars,0.4.0,unknown,.groupby,2,3.586,4.514,TRUE,[ 300.01294329 800.0218764 4999.70853878],0.001,,FALSE | |
| instance-2,,1610131526.4424725,groupby,G1_1e8_1e2_0_0,100000000,sum v1:v3 by id6,1000000,4,polars,0.4.0,unknown,.groupby,1,8.391,4.336,TRUE,[3.00012972e+08 4.99970879e+09 4.99970879e+09],0.002,,FALSE | |
| instance-2,,1610131534.8801942,groupby,G1_1e8_1e2_0_0,100000000,sum v1:v3 by id6,1000000,4,polars,0.4.0,unknown,.groupby,2,8.429,4.336,TRUE,[3.00012972e+08 4.99970879e+09 4.99970879e+09],0.001,,FALSE | |
| instance-2,,1610131543.9416125,groupby,G1_1e8_1e2_0_0,100000000,median v3 sd v3 by id4 id5,10000,4,polars,0.4.0,unknown,.groupby,1,9.054,4.336,TRUE,[499942.799697 288673.75367706],0.001,,FALSE | |
| instance-2,,1610131553.1200483,groupby,G1_1e8_1e2_0_0,100000000,median v3 sd v3 by id4 id5,10000,4,polars,0.4.0,unknown,.groupby,2,9.171,4.336,TRUE,[499942.799697 288673.75367706],0.001,,FALSE | |
| instance-2,,1610131560.8781307,groupby,G1_1e8_1e2_0_0,100000000,max v1 - min v2 by id3,1000000,2,polars,0.4.0,unknown,.groupby,1,7.751,4.336,TRUE,3998709,0.0,,FALSE | |
| instance-2,,1610131568.7142258,groupby,G1_1e8_1e2_0_0,100000000,max v1 - min v2 by id3,1000000,2,polars,0.4.0,unknown,.groupby,2,7.83,4.336,TRUE,3998709,0.0,,FALSE | |
| instance-2,,1610131616.6566157,groupby,G1_1e8_1e2_0_0,100000000,largest two v3 by id6,2000000,2,polars,0.4.0,unknown,.groupby,1,47.934,4.404,TRUE,196999064.458,0.002,,FALSE | |
| instance-2,,1610131664.6987984,groupby,G1_1e8_1e2_0_0,100000000,largest two v3 by id6,2000000,2,polars,0.4.0,unknown,.groupby,2,48.034,4.401,TRUE,196999064.458,0.002,,FALSE | |
| instance-2,,1610131683.3485315,groupby,G1_1e8_1e2_0_0,100000000,regression v1 v2 by id2 id4,10000,3,polars,0.4.0,unknown,.groupby,1,18.643,4.346,TRUE,1.006,0.0,,FALSE | |
| instance-2,,1610131701.970715,groupby,G1_1e8_1e2_0_0,100000000,regression v1 v2 by id2 id4,10000,3,polars,0.4.0,unknown,.groupby,2,18.616,4.377,TRUE,1.006,0.0,,FALSE | |
| instance-2,,1610131760.876512,groupby,G1_1e8_1e2_0_0,100000000,sum v3 count by id1:id6,100000000,8,polars,0.4.0,unknown,.groupby,1,58.824,10.767,TRUE,[4.99970879e+09 1.00000000e+08],0.075,,FALSE | |
| instance-2,,1610131823.321826,groupby,G1_1e8_1e2_0_0,100000000,sum v3 count by id1:id6,100000000,8,polars,0.4.0,unknown,.groupby,2,62.344,10.803,TRUE,[4.99970879e+09 1.00000000e+08],0.085,,FALSE | |
| instance-2,,1610131840.6931677,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1,100,2,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,8.529,5.794,TRUE,300012972,0.0,,FALSE | |
| instance-2,,1610131849.2450898,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1,100,2,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,8.507,5.795,TRUE,300012972,0.0,,FALSE | |
| instance-2,,1610131870.1632686,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1:id2,10000,3,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,20.914,5.795,TRUE,300012972,0.0,,FALSE | |
| instance-2,,1610131891.1302173,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1:id2,10000,3,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,20.963,5.795,TRUE,300012972,0.0,,FALSE | |
| instance-2,,1610131912.9718282,groupby,G1_1e8_1e2_0_0,100000000,sum v1 mean v3 by id3,1000000,3,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,21.822,5.812,TRUE,300012972;49997119.804,0.016,,FALSE | |
| instance-2,,1610131934.9843552,groupby,G1_1e8_1e2_0_0,100000000,sum v1 mean v3 by id3,1000000,3,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,21.992,5.812,TRUE,300012972;49997119.804,0.016,,FALSE | |
| instance-2,,1610131945.821357,groupby,G1_1e8_1e2_0_0,100000000,mean v1:v3 by id4,100,4,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,10.831,5.794,TRUE,300.013;800.022;4999.709,0.0,,FALSE | |
| instance-2,,1610131956.6783946,groupby,G1_1e8_1e2_0_0,100000000,mean v1:v3 by id4,100,4,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,10.853,5.794,TRUE,300.013;800.022;4999.709,0.0,,FALSE | |
| instance-2,,1610131961.0727665,groupby,G1_1e8_1e2_0_0,100000000,sum v1:v3 by id6,1000000,4,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,4.367,5.82,TRUE,300012972;800021939;4999708788.333,0.024,,FALSE | |
| instance-2,,1610131965.4700172,groupby,G1_1e8_1e2_0_0,100000000,sum v1:v3 by id6,1000000,4,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,4.368,5.82,TRUE,300012972;800021939;4999708788.333,0.024,,FALSE | |
| instance-2,,1610131973.795354,groupby,G1_1e8_1e2_0_0,100000000,median v3 sd v3 by id4 id5,10000,4,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,8.319,5.794,TRUE,499967.292;288673.754,0.0,,FALSE | |
| instance-2,,1610131982.0731707,groupby,G1_1e8_1e2_0_0,100000000,median v3 sd v3 by id4 id5,10000,4,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,8.274,5.794,TRUE,499967.292;288673.754,0.0,,FALSE | |
| instance-2,,1610132004.3974433,groupby,G1_1e8_1e2_0_0,100000000,max v1 - min v2 by id3,1000000,2,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,22.3,5.805,TRUE,3998709,0.02,,FALSE | |
| instance-2,,1610132026.5507038,groupby,G1_1e8_1e2_0_0,100000000,max v1 - min v2 by id3,1000000,2,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,22.129,5.806,TRUE,3998709,0.02,,FALSE | |
| instance-2,,1610132041.739284,groupby,G1_1e8_1e2_0_0,100000000,largest two v3 by id6,2000000,2,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,14.994,6.178,TRUE,196999064.458,0.189,,FALSE | |
| instance-2,,1610132057.3001552,groupby,G1_1e8_1e2_0_0,100000000,largest two v3 by id6,2000000,2,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,15.362,6.181,TRUE,196999064.458,0.195,,FALSE | |
| instance-2,,1610132073.1708887,groupby,G1_1e8_1e2_0_0,100000000,regression v1 v2 by id2 id4,10000,3,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,15.865,6.182,TRUE,1.006,0.0,,FALSE | |
| instance-2,,1610132088.6072588,groupby,G1_1e8_1e2_0_0,100000000,regression v1 v2 by id2 id4,10000,3,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,15.43,6.182,TRUE,1.006,0.0,,FALSE | |
| instance-2,,1610132182.5896673,groupby,G1_1e8_1e2_0_0,100000000,sum v3 count by id1:id6,100000000,8,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,1,92.647,7.672,TRUE,4999708788.334;100000000,1.329,,FALSE | |
| instance-2,,1610132275.730007,groupby,G1_1e8_1e2_0_0,100000000,sum v3 count by id1:id6,100000000,8,pydatatable,0.11.1,e30c601a95c410f4ef1f86c9f9bc7a80e44dd916,[.datatable,2,91.816,7.672,TRUE,4999708788.334;100000000,1.315,,FALSE | |
| instance-2,,1610132502.5737586,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1,100,2,spark,3.0.1,,.sql,1,6.144,0.035,TRUE,300012972,0.494,,FALSE | |
| instance-2,,1610132518.8427756,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1,100,2,spark,3.0.1,,.sql,2,5.188,0.036,TRUE,300012972,5.191,,FALSE | |
| instance-2,,1610132540.7262385,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1:id2,10000,3,spark,3.0.1,,.sql,1,10.961,0.036,TRUE,300012972,0.295,,FALSE | |
| instance-2,,1610132568.960106,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1:id2,10000,3,spark,3.0.1,,.sql,2,10.227,0.036,TRUE,300012972,9.887,,FALSE | |
| instance-2,,1610132610.2368155,groupby,G1_1e8_1e2_0_0,100000000,sum v1 mean v3 by id3,1000000,3,spark,3.0.1,,.sql,1,20.76,0.036,TRUE,300012972;49997119.804,0.307,,FALSE | |
| instance-2,,1610132661.3341422,groupby,G1_1e8_1e2_0_0,100000000,sum v1 mean v3 by id3,1000000,3,spark,3.0.1,,.sql,2,19.295,0.036,TRUE,300012972;49997119.804,18.776,,FALSE | |
| instance-2,,1610132698.5569394,groupby,G1_1e8_1e2_0_0,100000000,mean v1:v3 by id4,100,4,spark,3.0.1,,.sql,1,3.907,0.036,TRUE,300.013;800.022;4999.709,0.271,,FALSE | |
| instance-2,,1610132709.9251156,groupby,G1_1e8_1e2_0_0,100000000,mean v1:v3 by id4,100,4,spark,3.0.1,,.sql,2,3.623,0.036,TRUE,300.013;800.022;4999.709,3.642,,FALSE | |
| instance-2,,1610132733.6336787,groupby,G1_1e8_1e2_0_0,100000000,sum v1:v3 by id6,1000000,4,spark,3.0.1,,.sql,1,15.484,0.036,TRUE,300012972;800021939;4999708788.333,0.386,,FALSE | |
| instance-2,,1610132773.5321963,groupby,G1_1e8_1e2_0_0,100000000,sum v1:v3 by id6,1000000,4,spark,3.0.1,,.sql,2,14.933,0.036,TRUE,300012972;800021939;4999708788.333,14.374,,FALSE | |
| instance-2,,1610132818.100603,groupby,G1_1e8_1e2_0_0,100000000,max v1 - min v2 by id3,1000000,2,spark,3.0.1,,.sql,1,19.522,0.036,TRUE,3998709,0.238,,FALSE | |
| instance-2,,1610132868.2397134,groupby,G1_1e8_1e2_0_0,100000000,max v1 - min v2 by id3,1000000,2,spark,3.0.1,,.sql,2,18.903,0.036,TRUE,3998709,18.342,,FALSE | |
| instance-2,,1610132940.0051017,groupby,G1_1e8_1e2_0_0,100000000,largest two v3 by id6,2000000,2,spark,3.0.1,,.sql,1,40.201,0.036,TRUE,196999064.458,0.351,,FALSE | |
| instance-2,,1610133054.567417,groupby,G1_1e8_1e2_0_0,100000000,largest two v3 by id6,2000000,2,spark,3.0.1,,.sql,2,39.483,0.036,TRUE,196999064.458,37.856,,FALSE | |
| instance-2,,1610133083.4637973,groupby,G1_1e8_1e2_0_0,100000000,regression v1 v2 by id2 id4,10000,3,spark,3.0.1,,.sql,1,8.898,0.036,TRUE,1.006,0.238,,FALSE | |
| instance-2,,1610133107.1844923,groupby,G1_1e8_1e2_0_0,100000000,regression v1 v2 by id2 id4,10000,3,spark,3.0.1,,.sql,2,8.187,0.036,TRUE,1.006,8.238,,FALSE | |
| instance-2,,1610133289.4124238,groupby,G1_1e8_1e2_0_0,100000000,sum v3 count by id1:id6,100000000,8,spark,3.0.1,,.sql,1,162.927,0.036,TRUE,4999708788.333;100000000,1.93,,FALSE | |
| instance-2,,1610133549.0388477,groupby,G1_1e8_1e2_0_0,100000000,sum v3 count by id1:id6,100000000,8,spark,3.0.1,,.sql,2,162.096,0.036,TRUE,4999708788.333;100000000,54.173,,FALSE | |
| instance-2,,1610133769.3303783,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1,100,2,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,3.023,4.289,TRUE,300012972,0.0,,FALSE | |
| instance-2,,1610133772.221188,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1,100,2,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,2.82,4.297,TRUE,300012972,0.0,,FALSE | |
| instance-2,,1610133779.119293,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1:id2,10000,3,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,6.852,4.312,TRUE,300012972,0.0,,FALSE | |
| instance-2,,1610133785.9643242,groupby,G1_1e8_1e2_0_0,100000000,sum v1 by id1:id2,10000,3,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,6.828,4.312,TRUE,300012972,0.0,,FALSE | |
| instance-2,,1610133801.9821715,groupby,G1_1e8_1e2_0_0,100000000,sum v1 mean v3 by id3,1000000,3,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,15.983,4.421,TRUE,300012972;49997119.804,0.005,,FALSE | |
| instance-2,,1610133817.881041,groupby,G1_1e8_1e2_0_0,100000000,sum v1 mean v3 by id3,1000000,3,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,15.865,4.421,TRUE,300012972;49997119.804,0.005,,FALSE | |
| instance-2,,1610133820.9713228,groupby,G1_1e8_1e2_0_0,100000000,mean v1:v3 by id4,100,4,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,3.048,4.3,TRUE,300.013;800.022;4999.709,0.001,,FALSE | |
| instance-2,,1610133824.0454266,groupby,G1_1e8_1e2_0_0,100000000,mean v1:v3 by id4,100,4,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,3.056,4.3,TRUE,300.013;800.022;4999.709,0.001,,FALSE | |
| instance-2,,1610133838.6757371,groupby,G1_1e8_1e2_0_0,100000000,sum v1:v3 by id6,1000000,4,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,14.592,4.395,TRUE,300012972;800021939;4999708788.333,0.007,,FALSE | |
| instance-2,,1610133853.1415715,groupby,G1_1e8_1e2_0_0,100000000,sum v1:v3 by id6,1000000,4,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,14.439,4.395,TRUE,300012972;800021939;4999708788.333,0.007,,FALSE | |
| instance-2,,1610133863.2761612,groupby,G1_1e8_1e2_0_0,100000000,median v3 sd v3 by id4 id5,10000,4,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,9.996,4.313,TRUE,499967.292;288673.754,0.102,,FALSE | |
| instance-2,,1610133873.379482,groupby,G1_1e8_1e2_0_0,100000000,median v3 sd v3 by id4 id5,10000,4,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,10.081,4.313,TRUE,499967.292;288673.754,0.004,,FALSE | |
| instance-2,,1610133891.2112558,groupby,G1_1e8_1e2_0_0,100000000,max v1 - min v2 by id3,1000000,2,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,17.796,4.414,TRUE,3998709,0.002,,FALSE | |
| instance-2,,1610133908.011051,groupby,G1_1e8_1e2_0_0,100000000,max v1 - min v2 by id3,1000000,2,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,16.765,4.414,TRUE,3998709,0.002,,FALSE | |
| instance-2,,1610133981.520372,groupby,G1_1e8_1e2_0_0,100000000,largest two v3 by id6,2000000,2,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,73.463,5.095,TRUE,196999064.458,0.004,,FALSE | |
| instance-2,,1610134053.733417,groupby,G1_1e8_1e2_0_0,100000000,largest two v3 by id6,2000000,2,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,72.19,5.095,TRUE,196999064.458,0.004,,FALSE | |
| instance-2,,1610134119.508082,groupby,G1_1e8_1e2_0_0,100000000,regression v1 v2 by id2 id4,10000,3,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,65.744,5.058,TRUE,1.006,0.001,,FALSE | |
| instance-2,,1610134185.2247088,groupby,G1_1e8_1e2_0_0,100000000,regression v1 v2 by id2 id4,10000,3,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,65.7,5.058,TRUE,1.006,0.001,,FALSE | |
| instance-2,,1610134647.655348,groupby,G1_1e8_1e2_0_0,100000000,sum v3 count by id1:id6,100000000,8,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,1,462.091,10.192,TRUE,4999708788.333;100000000,0.31,,FALSE | |
| instance-2,,1610135108.348642,groupby,G1_1e8_1e2_0_0,100000000,sum v3 count by id1:id6,100000000,8,pandas,1.2.0,3e89b4c4b1580aa890023fc550774e63d499da25,.groupby,2,460.346,10.192,TRUE,4999708788.333;100000000,0.301,,FALSE |
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