Loading JDBC driver 'com.mysql.jdbc.Driver'
EMMA: collecting runtime coverage data ...
Done.

Done.

Calculating performance scaling factor...
Elapsed time for factor: 1810
Performance scaling factor is: 0.7869565217391304
Execution time for ResultSet.getInt(): 0.00129
Execution time for ResultSet.getDouble(): 0.00257
Execution time for ResultSet.getTime(): 0.0088
Execution time for ResultSet.getTimestamp(): 0.0066
Execution time for ResultSet.getDate(): 0.00504
Execution time for ResultSet.getString(): 0.00309
Execution time for ResultSet.getObject() on a string: 0.00343
Loading JDBC driver 'com.mysql.jdbc.Driver'
Done.

Done.

Calculating performance scaling factor...
Elapsed time for factor: 2262
Performance scaling factor is: 0.9834782608695652
0 prepares, the last 1000 prepares took 0 ms.
1000 prepares, the last 1000 prepares took 256 ms.
2000 prepares, the last 1000 prepares took 150 ms, difference is 0.5859375 x
3000 prepares, the last 1000 prepares took 53 ms, difference is 0.35333333333333333 x
4000 prepares, the last 1000 prepares took 93 ms, difference is 1.7547169811320755 x
5000 prepares, the last 1000 prepares took 47 ms, difference is 0.5053763440860215 x
6000 prepares, the last 1000 prepares took 50 ms, difference is 1.0638297872340425 x
7000 prepares, the last 1000 prepares took 47 ms, difference is 0.94 x
8000 prepares, the last 1000 prepares took 55 ms, difference is 1.1702127659574468 x
9000 prepares, the last 1000 prepares took 47 ms, difference is 0.8545454545454545 x
10000 prepares, the last 1000 prepares took 54 ms, difference is 1.148936170212766 x
11000 prepares, the last 1000 prepares took 50 ms, difference is 0.9259259259259259 x
12000 prepares, the last 1000 prepares took 46 ms, difference is 0.92 x
13000 prepares, the last 1000 prepares took 35 ms, difference is 0.7608695652173914 x
14000 prepares, the last 1000 prepares took 44 ms, difference is 1.2571428571428571 x
15000 prepares, the last 1000 prepares took 36 ms, difference is 0.8181818181818182 x
16000 prepares, the last 1000 prepares took 34 ms, difference is 0.9444444444444444 x
17000 prepares, the last 1000 prepares took 34 ms, difference is 1.0 x
18000 prepares, the last 1000 prepares took 34 ms, difference is 1.0 x
19000 prepares, the last 1000 prepares took 36 ms, difference is 1.0588235294117647 x
20000 prepares, the last 1000 prepares took 35 ms, difference is 0.9722222222222222 x
21000 prepares, the last 1000 prepares took 47 ms, difference is 1.3428571428571427 x
22000 prepares, the last 1000 prepares took 35 ms, difference is 0.7446808510638298 x
23000 prepares, the last 1000 prepares took 34 ms, difference is 0.9714285714285714 x
24000 prepares, the last 1000 prepares took 34 ms, difference is 1.0 x
25000 prepares, the last 1000 prepares took 36 ms, difference is 1.0588235294117647 x
26000 prepares, the last 1000 prepares took 47 ms, difference is 1.3055555555555556 x
27000 prepares, the last 1000 prepares took 35 ms, difference is 0.7446808510638298 x
28000 prepares, the last 1000 prepares took 42 ms, difference is 1.2 x
29000 prepares, the last 1000 prepares took 35 ms, difference is 0.8333333333333334 x
30000 prepares, the last 1000 prepares took 36 ms, difference is 1.0285714285714285 x
31000 prepares, the last 1000 prepares took 35 ms, difference is 0.9722222222222222 x
32000 prepares, the last 1000 prepares took 36 ms, difference is 1.0285714285714285 x
33000 prepares, the last 1000 prepares took 35 ms, difference is 0.9722222222222222 x
34000 prepares, the last 1000 prepares took 36 ms, difference is 1.0285714285714285 x
35000 prepares, the last 1000 prepares took 37 ms, difference is 1.0277777777777777 x
36000 prepares, the last 1000 prepares took 35 ms, difference is 0.9459459459459459 x
37000 prepares, the last 1000 prepares took 36 ms, difference is 1.0285714285714285 x
38000 prepares, the last 1000 prepares took 34 ms, difference is 0.9444444444444444 x
39000 prepares, the last 1000 prepares took 58 ms, difference is 1.7058823529411764 x
40000 prepares, the last 1000 prepares took 35 ms, difference is 0.603448275862069 x
41000 prepares, the last 1000 prepares took 35 ms, difference is 1.0 x
42000 prepares, the last 1000 prepares took 35 ms, difference is 1.0 x
43000 prepares, the last 1000 prepares took 34 ms, difference is 0.9714285714285714 x
44000 prepares, the last 1000 prepares took 35 ms, difference is 1.0294117647058822 x
45000 prepares, the last 1000 prepares took 35 ms, difference is 1.0 x
46000 prepares, the last 1000 prepares took 35 ms, difference is 1.0 x
47000 prepares, the last 1000 prepares took 34 ms, difference is 0.9714285714285714 x
48000 prepares, the last 1000 prepares took 34 ms, difference is 1.0 x
49000 prepares, the last 1000 prepares took 35 ms, difference is 1.0294117647058822 x
50000 prepares, the last 1000 prepares took 36 ms, difference is 1.0285714285714285 x
51000 prepares, the last 1000 prepares took 34 ms, difference is 0.9444444444444444 x
52000 prepares, the last 1000 prepares took 35 ms, difference is 1.0294117647058822 x
53000 prepares, the last 1000 prepares took 42 ms, difference is 1.2 x
54000 prepares, the last 1000 prepares took 42 ms, difference is 1.0 x
55000 prepares, the last 1000 prepares took 44 ms, difference is 1.0476190476190477 x
56000 prepares, the last 1000 prepares took 34 ms, difference is 0.7727272727272727 x
57000 prepares, the last 1000 prepares took 35 ms, difference is 1.0294117647058822 x
58000 prepares, the last 1000 prepares took 36 ms, difference is 1.0285714285714285 x
59000 prepares, the last 1000 prepares took 35 ms, difference is 0.9722222222222222 x
60000 prepares, the last 1000 prepares took 34 ms, difference is 0.9714285714285714 x
61000 prepares, the last 1000 prepares took 37 ms, difference is 1.088235294117647 x
62000 prepares, the last 1000 prepares took 34 ms, difference is 0.918918918918919 x
63000 prepares, the last 1000 prepares took 36 ms, difference is 1.0588235294117647 x
64000 prepares, the last 1000 prepares took 37 ms, difference is 1.0277777777777777 x
65000 prepares, the last 1000 prepares took 100 ms, difference is 2.7027027027027026 x
66000 prepares, the last 1000 prepares took 60 ms, difference is 0.6 x
67000 prepares, the last 1000 prepares took 34 ms, difference is 0.5666666666666667 x
68000 prepares, the last 1000 prepares took 35 ms, difference is 1.0294117647058822 x
69000 prepares, the last 1000 prepares took 35 ms, difference is 1.0 x
70000 prepares, the last 1000 prepares took 34 ms, difference is 0.9714285714285714 x
71000 prepares, the last 1000 prepares took 36 ms, difference is 1.0588235294117647 x
72000 prepares, the last 1000 prepares took 34 ms, difference is 0.9444444444444444 x
73000 prepares, the last 1000 prepares took 35 ms, difference is 1.0294117647058822 x
74000 prepares, the last 1000 prepares took 36 ms, difference is 1.0285714285714285 x
75000 prepares, the last 1000 prepares took 35 ms, difference is 0.9722222222222222 x
76000 prepares, the last 1000 prepares took 34 ms, difference is 0.9714285714285714 x
77000 prepares, the last 1000 prepares took 35 ms, difference is 1.0294117647058822 x
78000 prepares, the last 1000 prepares took 39 ms, difference is 1.1142857142857143 x
79000 prepares, the last 1000 prepares took 35 ms, difference is 0.8974358974358975 x
80000 prepares, the last 1000 prepares took 36 ms, difference is 1.0285714285714285 x
81000 prepares, the last 1000 prepares took 41 ms, difference is 1.1388888888888888 x
82000 prepares, the last 1000 prepares took 34 ms, difference is 0.8292682926829268 x
83000 prepares, the last 1000 prepares took 35 ms, difference is 1.0294117647058822 x
84000 prepares, the last 1000 prepares took 36 ms, difference is 1.0285714285714285 x
85000 prepares, the last 1000 prepares took 35 ms, difference is 0.9722222222222222 x
86000 prepares, the last 1000 prepares took 35 ms, difference is 1.0 x
87000 prepares, the last 1000 prepares took 37 ms, difference is 1.0571428571428572 x
88000 prepares, the last 1000 prepares took 35 ms, difference is 0.9459459459459459 x
89000 prepares, the last 1000 prepares took 40 ms, difference is 1.1428571428571428 x
90000 prepares, the last 1000 prepares took 35 ms, difference is 0.875 x
91000 prepares, the last 1000 prepares took 34 ms, difference is 0.9714285714285714 x
92000 prepares, the last 1000 prepares took 45 ms, difference is 1.3235294117647058 x
93000 prepares, the last 1000 prepares took 70 ms, difference is 1.5555555555555556 x
94000 prepares, the last 1000 prepares took 109 ms, difference is 1.5571428571428572 x
95000 prepares, the last 1000 prepares took 102 ms, difference is 0.9357798165137615 x
96000 prepares, the last 1000 prepares took 99 ms, difference is 0.9705882352941176 x
97000 prepares, the last 1000 prepares took 35 ms, difference is 0.35353535353535354 x
98000 prepares, the last 1000 prepares took 37 ms, difference is 1.0571428571428572 x
99000 prepares, the last 1000 prepares took 35 ms, difference is 0.9459459459459459 x
com.mysql.jdbc.PreparedStatement@1f37fab: INSERT INTO marktest VALUES (** NOT SPECIFIED **, ** NOT SPECIFIED **, ** NOT SPECIFIED **, ** NOT SPECIFIED **, ** NOT SPECIFIED **)
com.mysql.jdbc.PreparedStatement@1f37fab: INSERT INTO marktest VALUES (1, ** NOT SPECIFIED **, ** NOT SPECIFIED **, ** NOT SPECIFIED **, ** NOT SPECIFIED **)
Execution time for PreparedStatement.setInt(): 4.9E-4
Execution time for PreparedStatement.setDouble(): 0.01046
Execution time for PreparedStatement.setTime(): 0.00678
Execution time for PreparedStatement.setTimestamp(): 0.00734
Execution time for PreparedStatement.setDate(): 0.03316
Execution time for PreparedStatement.setString(): 0.0096
Execution time for PreparedStatement.setObject() on a string: 0.00978
Loading JDBC driver 'com.mysql.jdbc.Driver'
Done.

Done.

Calculating performance scaling factor...
Elapsed time for factor: 1808
Performance scaling factor is: 0.7860869565217391
