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

Done.

Calculating performance scaling factor...
Elapsed time for factor: 1899
Performance scaling factor is: 0.8256521739130435
Execution time for ResultSet.getInt(): 0.00106
Execution time for ResultSet.getDouble(): 0.00227
Execution time for ResultSet.getTime(): 0.00625
Execution time for ResultSet.getTimestamp(): 0.0063
Execution time for ResultSet.getDate(): 0.0051
Execution time for ResultSet.getString(): 0.00184
Execution time for ResultSet.getObject() on a string: 0.00261
Loading JDBC driver 'com.mysql.jdbc.Driver'
Done.

Done.

Calculating performance scaling factor...
Elapsed time for factor: 1903
Performance scaling factor is: 0.827391304347826
0 prepares, the last 1000 prepares took 0 ms.
1000 prepares, the last 1000 prepares took 161 ms.
2000 prepares, the last 1000 prepares took 94 ms, difference is 0.5838509316770186 x
3000 prepares, the last 1000 prepares took 29 ms, difference is 0.30851063829787234 x
4000 prepares, the last 1000 prepares took 31 ms, difference is 1.0689655172413792 x
5000 prepares, the last 1000 prepares took 29 ms, difference is 0.9354838709677419 x
6000 prepares, the last 1000 prepares took 40 ms, difference is 1.3793103448275863 x
7000 prepares, the last 1000 prepares took 30 ms, difference is 0.75 x
8000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 x
9000 prepares, the last 1000 prepares took 30 ms, difference is 1.0714285714285714 x
10000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
11000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
12000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
13000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
14000 prepares, the last 1000 prepares took 35 ms, difference is 1.206896551724138 x
15000 prepares, the last 1000 prepares took 30 ms, difference is 0.8571428571428571 x
16000 prepares, the last 1000 prepares took 38 ms, difference is 1.2666666666666666 x
17000 prepares, the last 1000 prepares took 29 ms, difference is 0.7631578947368421 x
18000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
19000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 x
20000 prepares, the last 1000 prepares took 29 ms, difference is 1.0357142857142858 x
21000 prepares, the last 1000 prepares took 27 ms, difference is 0.9310344827586207 x
22000 prepares, the last 1000 prepares took 42 ms, difference is 1.5555555555555556 x
23000 prepares, the last 1000 prepares took 27 ms, difference is 0.6428571428571429 x
24000 prepares, the last 1000 prepares took 30 ms, difference is 1.1111111111111112 x
25000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
26000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
27000 prepares, the last 1000 prepares took 31 ms, difference is 1.0333333333333334 x
28000 prepares, the last 1000 prepares took 29 ms, difference is 0.9354838709677419 x
29000 prepares, the last 1000 prepares took 28 ms, difference is 0.9655172413793104 x
30000 prepares, the last 1000 prepares took 30 ms, difference is 1.0714285714285714 x
31000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 x
32000 prepares, the last 1000 prepares took 28 ms, difference is 1.0 x
33000 prepares, the last 1000 prepares took 30 ms, difference is 1.0714285714285714 x
34000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 x
35000 prepares, the last 1000 prepares took 28 ms, difference is 1.0 x
36000 prepares, the last 1000 prepares took 28 ms, difference is 1.0 x
37000 prepares, the last 1000 prepares took 29 ms, difference is 1.0357142857142858 x
38000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
39000 prepares, the last 1000 prepares took 42 ms, difference is 1.4482758620689655 x
40000 prepares, the last 1000 prepares took 29 ms, difference is 0.6904761904761905 x
41000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
42000 prepares, the last 1000 prepares took 28 ms, difference is 0.9655172413793104 x
43000 prepares, the last 1000 prepares took 30 ms, difference is 1.0714285714285714 x
44000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 x
45000 prepares, the last 1000 prepares took 30 ms, difference is 1.0714285714285714 x
46000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 x
47000 prepares, the last 1000 prepares took 29 ms, difference is 1.0357142857142858 x
48000 prepares, the last 1000 prepares took 28 ms, difference is 0.9655172413793104 x
49000 prepares, the last 1000 prepares took 29 ms, difference is 1.0357142857142858 x
50000 prepares, the last 1000 prepares took 36 ms, difference is 1.2413793103448276 x
51000 prepares, the last 1000 prepares took 32 ms, difference is 0.8888888888888888 x
52000 prepares, the last 1000 prepares took 28 ms, difference is 0.875 x
53000 prepares, the last 1000 prepares took 30 ms, difference is 1.0714285714285714 x
54000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
55000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
56000 prepares, the last 1000 prepares took 40 ms, difference is 1.3793103448275863 x
57000 prepares, the last 1000 prepares took 27 ms, difference is 0.675 x
58000 prepares, the last 1000 prepares took 30 ms, difference is 1.1111111111111112 x
59000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
60000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
61000 prepares, the last 1000 prepares took 30 ms, difference is 1.0 x
62000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
63000 prepares, the last 1000 prepares took 28 ms, difference is 0.9655172413793104 x
64000 prepares, the last 1000 prepares took 30 ms, difference is 1.0714285714285714 x
65000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 x
66000 prepares, the last 1000 prepares took 30 ms, difference is 1.0714285714285714 x
67000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 x
68000 prepares, the last 1000 prepares took 29 ms, difference is 1.0357142857142858 x
69000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
70000 prepares, the last 1000 prepares took 27 ms, difference is 0.9 x
71000 prepares, the last 1000 prepares took 29 ms, difference is 1.0740740740740742 x
72000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
73000 prepares, the last 1000 prepares took 39 ms, difference is 1.3448275862068966 x
74000 prepares, the last 1000 prepares took 29 ms, difference is 0.7435897435897436 x
75000 prepares, the last 1000 prepares took 27 ms, difference is 0.9310344827586207 x
76000 prepares, the last 1000 prepares took 29 ms, difference is 1.0740740740740742 x
77000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
78000 prepares, the last 1000 prepares took 28 ms, difference is 0.9655172413793104 x
79000 prepares, the last 1000 prepares took 29 ms, difference is 1.0357142857142858 x
80000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
81000 prepares, the last 1000 prepares took 28 ms, difference is 0.9655172413793104 x
82000 prepares, the last 1000 prepares took 29 ms, difference is 1.0357142857142858 x
83000 prepares, the last 1000 prepares took 38 ms, difference is 1.3103448275862069 x
84000 prepares, the last 1000 prepares took 30 ms, difference is 0.7894736842105263 x
85000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
86000 prepares, the last 1000 prepares took 28 ms, difference is 0.9655172413793104 x
87000 prepares, the last 1000 prepares took 28 ms, difference is 1.0 x
88000 prepares, the last 1000 prepares took 29 ms, difference is 1.0357142857142858 x
89000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
90000 prepares, the last 1000 prepares took 33 ms, difference is 1.1379310344827587 x
91000 prepares, the last 1000 prepares took 28 ms, difference is 0.8484848484848485 x
92000 prepares, the last 1000 prepares took 30 ms, difference is 1.0714285714285714 x
93000 prepares, the last 1000 prepares took 30 ms, difference is 1.0 x
94000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
95000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
96000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 x
97000 prepares, the last 1000 prepares took 29 ms, difference is 1.0357142857142858 x
98000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
99000 prepares, the last 1000 prepares took 35 ms, difference is 1.206896551724138 x
com.mysql.jdbc.PreparedStatement@197768d: INSERT INTO marktest VALUES (** NOT SPECIFIED **, ** NOT SPECIFIED **, ** NOT SPECIFIED **, ** NOT SPECIFIED **, ** NOT SPECIFIED **)
com.mysql.jdbc.PreparedStatement@197768d: INSERT INTO marktest VALUES (1, ** NOT SPECIFIED **, ** NOT SPECIFIED **, ** NOT SPECIFIED **, ** NOT SPECIFIED **)
Execution time for PreparedStatement.setInt(): 3.4E-4
Execution time for PreparedStatement.setDouble(): 0.00634
Execution time for PreparedStatement.setTime(): 0.01325
Execution time for PreparedStatement.setTimestamp(): 0.00764
Execution time for PreparedStatement.setDate(): 0.03285
Execution time for PreparedStatement.setString(): 0.00835
Execution time for PreparedStatement.setObject() on a string: 0.0083
Loading JDBC driver 'com.mysql.jdbc.Driver'
Done.

Done.

Calculating performance scaling factor...
Elapsed time for factor: 1856
Performance scaling factor is: 0.8069565217391305
