report/data/jdbc/4.0_sj_ms_sharding_insert.log_plot

summary = 2000000 in 00:00:31 = 63520.3/s Avg:     2 Min:     0 Max:  2416 Err:     0 (0.00%)
summary = 2000000 in 00:00:32 = 61931.0/s Avg:     3 Min:     0 Max:  2523 Err:     0 (0.00%)
summary = 2000000 in 00:00:33 = 60843.9/s Avg:     3 Min:     0 Max:  3414 Err:     0 (0.00%)
summary = 2000000 in 00:00:32 = 62069.4/s Avg:     3 Min:     0 Max:  2673 Err:     0 (0.00%)
summary = 2000000 in 00:00:33 = 60146.8/s Avg:     3 Min:     0 Max:  3735 Err:     0 (0.00%)
summary = 2000000 in 00:00:33 = 61216.4/s Avg:     3 Min:     0 Max:  2379 Err:     0 (0.00%)
summary = 2000000 in 00:00:33 = 61498.7/s Avg:     2 Min:     0 Max:  2548 Err:     0 (0.00%)
summary = 2000000 in 00:00:47 = 42298.5/s Avg:     0 Min:     0 Max:  1124 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41607.7/s Avg:     0 Min:     0 Max:  1113 Err:     0 (0.00%)
summary = 2000000 in 00:00:47 = 42609.4/s Avg:     0 Min:     0 Max:  1114 Err:     0 (0.00%)
summary = 2000000 in 00:00:46 = 43688.2/s Avg:     0 Min:     0 Max:  1206 Err:     0 (0.00%)
summary = 2000000 in 00:00:47 = 42676.7/s Avg:     0 Min:     0 Max:  1086 Err:     0 (0.00%)
summary = 2000000 in 00:00:47 = 42810.1/s Avg:     0 Min:     0 Max:  1181 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41711.9/s Avg:     0 Min:     0 Max:  1154 Err:     0 (0.00%)
summary = 2000000 in 00:00:46 = 43012.6/s Avg:     0 Min:     0 Max:  1087 Err:     0 (0.00%)
summary = 2000000 in 00:00:46 = 43358.6/s Avg:     0 Min:     0 Max:  1123 Err:     0 (0.00%)
summary = 2000000 in 00:00:45 = 44102.4/s Avg:     0 Min:     0 Max:  1134 Err:     0 (0.00%)
summary = 2000000 in 00:00:47 = 42472.8/s Avg:     0 Min:     0 Max:  1158 Err:     0 (0.00%)
summary = 2000000 in 00:00:45 = 44153.0/s Avg:     0 Min:     0 Max:  1162 Err:     0 (0.00%)
summary = 2000000 in 00:00:47 = 42150.5/s Avg:     0 Min:     0 Max:  1172 Err:     0 (0.00%)
summary = 2000000 in 00:00:46 = 43722.5/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41860.3/s Avg:     0 Min:     0 Max:  1225 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41257.5/s Avg:     0 Min:     0 Max:  1213 Err:     0 (0.00%)
summary = 2000000 in 00:00:46 = 43801.1/s Avg:     0 Min:     0 Max:  1222 Err:     0 (0.00%)
summary = 2000000 in 00:00:45 = 43966.7/s Avg:     0 Min:     0 Max:  1115 Err:     0 (0.00%)
summary = 2000000 in 00:00:46 = 43027.4/s Avg:     0 Min:     0 Max:  1120 Err:     0 (0.00%)
summary = 2000000 in 00:00:47 = 42197.7/s Avg:     0 Min:     0 Max:  1109 Err:     0 (0.00%)
summary = 2000000 in 00:00:46 = 43209.6/s Avg:     0 Min:     0 Max:  1167 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)
summary = 2000000 in 00:00:48 = 41731.0/s Avg:     0 Min:     0 Max:  1221 Err:     0 (0.00%)