report/data/3.0_sp_insert_raw_merge.log_plot

summary = 2000000 in 00:00:57 = 35372.6/s Avg:     5 Min:     0 Max:   474 Err:     0 (0.00%)
summary = 2000000 in 00:00:57 = 35042.2/s Avg:     5 Min:     0 Max:   493 Err:     0 (0.00%)
summary = 2000000 in 00:00:57 = 35336.3/s Avg:     5 Min:     0 Max:   395 Err:     0 (0.00%)
summary = 2000000 in 00:00:57 = 35315.1/s Avg:     5 Min:     0 Max:   474 Err:     0 (0.00%)
summary = 2000000 in 00:00:54 = 36858.2/s Avg:     5 Min:     0 Max:   364 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36605.9/s Avg:     5 Min:     0 Max:   481 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36491.0/s Avg:     5 Min:     0 Max:   351 Err:     0 (0.00%)
summary = 2000000 in 00:00:54 = 36807.3/s Avg:     5 Min:     0 Max:   386 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36559.7/s Avg:     5 Min:     0 Max:   457 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36656.9/s Avg:     5 Min:     0 Max:   407 Err:     0 (0.00%)
summary = 2000000 in 00:00:54 = 36801.2/s Avg:     5 Min:     0 Max:   371 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36282.5/s Avg:     5 Min:     0 Max:   382 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36584.5/s Avg:     5 Min:     0 Max:   401 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36649.5/s Avg:     5 Min:     0 Max:   373 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36407.3/s Avg:     5 Min:     0 Max:   447 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36268.7/s Avg:     5 Min:     0 Max:   327 Err:     0 (0.00%)
summary = 2000000 in 00:00:56 = 35998.4/s Avg:     5 Min:     0 Max:   374 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36477.7/s Avg:     5 Min:     0 Max:   452 Err:     0 (0.00%)
summary = 2000000 in 00:00:54 = 36747.8/s Avg:     5 Min:     0 Max:   406 Err:     0 (0.00%)
summary = 2000000 in 00:00:54 = 36846.0/s Avg:     5 Min:     0 Max:   398 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36359.0/s Avg:     5 Min:     0 Max:   387 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36400.7/s Avg:     5 Min:     0 Max:   351 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36613.9/s Avg:     5 Min:     0 Max:   353 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36297.0/s Avg:     5 Min:     0 Max:   474 Err:     0 (0.00%)
summary = 2000000 in 00:00:54 = 36836.5/s Avg:     5 Min:     0 Max:   518 Err:     0 (0.00%)
summary = 2000000 in 00:00:54 = 36920.8/s Avg:     5 Min:     0 Max:   405 Err:     0 (0.00%)
summary = 2000000 in 00:00:54 = 37105.1/s Avg:     5 Min:     0 Max:   333 Err:     0 (0.00%)
summary = 2000000 in 00:00:55 = 36634.7/s Avg:     5 Min:     0 Max:   433 Err:     0 (0.00%)
summary = 2000000 in 00:00:54 = 36882.0/s Avg:     5 Min:     0 Max:   360 Err:     0 (0.00%)
summary = 2000000 in 00:00:54 = 36764.0/s Avg:     5 Min:     0 Max:   407 Err:     0 (0.00%)
summary = 2000000 in 00:00:54 = 36727.6/s Avg:     5 Min:     0 Max:   400 Err:     0 (0.00%)
summary = 2000000 in 00:00:54 = 36947.4/s Avg:     5 Min:     0 Max:   538 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)
summary = 2000000 in 00:01:05 = 30546.5/s Avg:     0 Min:     0 Max:   271 Err:     0 (0.00%)