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

Done.

Calculating performance scaling factor...
Elapsed time for factor: 1914
Performance scaling factor is: 0.8321739130434782
Execution time for ResultSet.getInt(): 0.0011
Execution time for ResultSet.getDouble(): 0.00224
Execution time for ResultSet.getTime(): 0.00619
Execution time for ResultSet.getTimestamp(): 0.00644
Execution time for ResultSet.getDate(): 0.00507
Execution time for ResultSet.getString(): 0.00185
Execution time for ResultSet.getObject() on a string: 0.00275
Loading JDBC driver 'com.mysql.jdbc.Driver'
Done.

Done.

Calculating performance scaling factor...
Elapsed time for factor: 1932
Performance scaling factor is: 0.84
0 prepares, the last 1000 prepares took 0 ms.
1000 prepares, the last 1000 prepares took 164 ms.
2000 prepares, the last 1000 prepares took 99 ms, difference is 0.6036585365853658 x
3000 prepares, the last 1000 prepares took 30 ms, difference is 0.30303030303030304 x
4000 prepares, the last 1000 prepares took 31 ms, difference is 1.0333333333333334 x
5000 prepares, the last 1000 prepares took 29 ms, difference is 0.9354838709677419 x
6000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
7000 prepares, the last 1000 prepares took 32 ms, difference is 1.0666666666666667 x
8000 prepares, the last 1000 prepares took 29 ms, difference is 0.90625 x
9000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
10000 prepares, the last 1000 prepares took 32 ms, difference is 1.0666666666666667 x
11000 prepares, the last 1000 prepares took 32 ms, difference is 1.0 x
12000 prepares, the last 1000 prepares took 30 ms, difference is 0.9375 x
13000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
14000 prepares, the last 1000 prepares took 38 ms, difference is 1.3103448275862069 x
15000 prepares, the last 1000 prepares took 30 ms, difference is 0.7894736842105263 x
16000 prepares, the last 1000 prepares took 52 ms, difference is 1.7333333333333334 x
17000 prepares, the last 1000 prepares took 30 ms, difference is 0.5769230769230769 x
18000 prepares, the last 1000 prepares took 30 ms, difference is 1.0 x
19000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
20000 prepares, the last 1000 prepares took 31 ms, difference is 1.0689655172413792 x
21000 prepares, the last 1000 prepares took 29 ms, difference is 0.9354838709677419 x
22000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
23000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 x
24000 prepares, the last 1000 prepares took 30 ms, difference is 1.0714285714285714 x
25000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
26000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
27000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
28000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
29000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 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 35 ms, difference is 1.25 x
33000 prepares, the last 1000 prepares took 29 ms, difference is 0.8285714285714286 x
34000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
35000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
36000 prepares, the last 1000 prepares took 30 ms, difference is 1.0 x
37000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
38000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
39000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
40000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
41000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
42000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
43000 prepares, the last 1000 prepares took 33 ms, difference is 1.1379310344827587 x
44000 prepares, the last 1000 prepares took 29 ms, difference is 0.8787878787878788 x
45000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
46000 prepares, the last 1000 prepares took 30 ms, difference is 1.0 x
47000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
48000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
49000 prepares, the last 1000 prepares took 52 ms, difference is 1.7333333333333334 x
50000 prepares, the last 1000 prepares took 29 ms, difference is 0.5576923076923077 x
51000 prepares, the last 1000 prepares took 31 ms, difference is 1.0689655172413792 x
52000 prepares, the last 1000 prepares took 30 ms, difference is 0.967741935483871 x
53000 prepares, the last 1000 prepares took 32 ms, difference is 1.0666666666666667 x
54000 prepares, the last 1000 prepares took 29 ms, difference is 0.90625 x
55000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
56000 prepares, the last 1000 prepares took 30 ms, difference is 1.0 x
57000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
58000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
59000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
60000 prepares, the last 1000 prepares took 30 ms, difference is 1.0 x
61000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
62000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
63000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
64000 prepares, the last 1000 prepares took 31 ms, difference is 1.0689655172413792 x
65000 prepares, the last 1000 prepares took 35 ms, difference is 1.1290322580645162 x
66000 prepares, the last 1000 prepares took 31 ms, difference is 0.8857142857142857 x
67000 prepares, the last 1000 prepares took 30 ms, difference is 0.967741935483871 x
68000 prepares, the last 1000 prepares took 30 ms, difference is 1.0 x
69000 prepares, the last 1000 prepares took 31 ms, difference is 1.0333333333333334 x
70000 prepares, the last 1000 prepares took 29 ms, difference is 0.9354838709677419 x
71000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
72000 prepares, the last 1000 prepares took 29 ms, difference is 0.9666666666666667 x
73000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
74000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
75000 prepares, the last 1000 prepares took 31 ms, difference is 1.0689655172413792 x
76000 prepares, the last 1000 prepares took 31 ms, difference is 1.0 x
77000 prepares, the last 1000 prepares took 31 ms, difference is 1.0 x
78000 prepares, the last 1000 prepares took 29 ms, difference is 0.9354838709677419 x
79000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
80000 prepares, the last 1000 prepares took 30 ms, difference is 1.0 x
81000 prepares, the last 1000 prepares took 54 ms, difference is 1.8 x
82000 prepares, the last 1000 prepares took 29 ms, difference is 0.5370370370370371 x
83000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
84000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 x
85000 prepares, the last 1000 prepares took 31 ms, difference is 1.1071428571428572 x
86000 prepares, the last 1000 prepares took 28 ms, difference is 0.9032258064516129 x
87000 prepares, the last 1000 prepares took 30 ms, difference is 1.0714285714285714 x
88000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 x
89000 prepares, the last 1000 prepares took 32 ms, difference is 1.1428571428571428 x
90000 prepares, the last 1000 prepares took 29 ms, difference is 0.90625 x
91000 prepares, the last 1000 prepares took 29 ms, difference is 1.0 x
92000 prepares, the last 1000 prepares took 30 ms, difference is 1.0344827586206897 x
93000 prepares, the last 1000 prepares took 30 ms, difference is 1.0 x
94000 prepares, the last 1000 prepares took 28 ms, difference is 0.9333333333333333 x
95000 prepares, the last 1000 prepares took 31 ms, difference is 1.1071428571428572 x
96000 prepares, the last 1000 prepares took 29 ms, difference is 0.9354838709677419 x
97000 prepares, the last 1000 prepares took 33 ms, difference is 1.1379310344827587 x
98000 prepares, the last 1000 prepares took 31 ms, difference is 0.9393939393939394 x
99000 prepares, the last 1000 prepares took 29 ms, difference is 0.9354838709677419 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(): 3.5E-4
Execution time for PreparedStatement.setDouble(): 0.00646
Execution time for PreparedStatement.setTime(): 0.01242
Execution time for PreparedStatement.setTimestamp(): 0.00796
Execution time for PreparedStatement.setDate(): 0.03334
Execution time for PreparedStatement.setString(): 0.00834
Execution time for PreparedStatement.setObject() on a string: 0.00836
Loading JDBC driver 'com.mysql.jdbc.Driver'
Done.

Done.

Calculating performance scaling factor...
Elapsed time for factor: 1912
Performance scaling factor is: 0.831304347826087
