1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
|
/*
* This file is part of spark.
*
* Copyright (c) lucko (Luck) <luck@lucko.me>
* Copyright (c) contributors
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
package me.lucko.spark.common.api;
import com.google.common.collect.ImmutableMap;
import me.lucko.spark.api.Spark;
import me.lucko.spark.api.SparkProvider;
import me.lucko.spark.api.gc.GarbageCollector;
import me.lucko.spark.api.statistic.misc.DoubleAverageInfo;
import me.lucko.spark.api.statistic.types.DoubleStatistic;
import me.lucko.spark.api.statistic.types.GenericStatistic;
import me.lucko.spark.common.SparkPlatform;
import me.lucko.spark.common.monitor.cpu.CpuMonitor;
import me.lucko.spark.common.monitor.memory.GarbageCollectorStatistics;
import me.lucko.spark.common.monitor.tick.TickStatistics;
import org.checkerframework.checker.nullness.qual.NonNull;
import org.checkerframework.checker.nullness.qual.Nullable;
import java.lang.reflect.Method;
import java.util.HashMap;
import java.util.Map;
import static me.lucko.spark.api.statistic.StatisticWindow.CpuUsage;
import static me.lucko.spark.api.statistic.StatisticWindow.MillisPerTick;
import static me.lucko.spark.api.statistic.StatisticWindow.TicksPerSecond;
public class SparkApi implements Spark {
private static final Method SINGLETON_SET_METHOD;
static {
try {
SINGLETON_SET_METHOD = SparkProvider.class.getDeclaredMethod("set", Spark.class);
SINGLETON_SET_METHOD.setAccessible(true);
} catch (ReflectiveOperationException e) {
throw new RuntimeException(e);
}
}
private final SparkPlatform platform;
public SparkApi(SparkPlatform platform) {
this.platform = platform;
}
@Override
public @NonNull DoubleStatistic<CpuUsage> cpuProcess() {
return new AbstractStatistic.Double<CpuUsage>(
"CPU Process Usage", CpuUsage.class
) {
@Override
public double poll(@NonNull CpuUsage window) {
switch (window) {
case SECONDS_10:
return CpuMonitor.processLoad10SecAvg();
case MINUTES_1:
return CpuMonitor.processLoad1MinAvg();
case MINUTES_15:
return CpuMonitor.processLoad15MinAvg();
default:
throw new AssertionError(window);
}
}
};
}
@Override
public @NonNull DoubleStatistic<CpuUsage> cpuSystem() {
return new AbstractStatistic.Double<CpuUsage>(
"CPU System Usage", CpuUsage.class
) {
@Override
public double poll(@NonNull CpuUsage window) {
switch (window) {
case SECONDS_10:
return CpuMonitor.systemLoad10SecAvg();
case MINUTES_1:
return CpuMonitor.systemLoad1MinAvg();
case MINUTES_15:
return CpuMonitor.systemLoad15MinAvg();
default:
throw new AssertionError(window);
}
}
};
}
@Override
public @Nullable DoubleStatistic<TicksPerSecond> tps() {
TickStatistics stats = this.platform.getTickStatistics();
if (stats == null) {
return null;
}
return new AbstractStatistic.Double<TicksPerSecond>(
"Ticks Per Second", TicksPerSecond.class
) {
@Override
public double poll(@NonNull TicksPerSecond window) {
switch (window) {
case SECONDS_5:
return stats.tps5Sec();
case SECONDS_10:
return stats.tps10Sec();
case MINUTES_1:
return stats.tps1Min();
case MINUTES_5:
return stats.tps5Min();
case MINUTES_15:
return stats.tps15Min();
default:
throw new AssertionError(window);
}
}
};
}
@Override
public @Nullable GenericStatistic<DoubleAverageInfo, MillisPerTick> mspt() {
TickStatistics stats = this.platform.getTickStatistics();
if (stats == null || !stats.isDurationSupported()) {
return null;
}
return new AbstractStatistic.Generic<DoubleAverageInfo, MillisPerTick>(
"Milliseconds Per Tick", DoubleAverageInfo.class, MillisPerTick.class
) {
@Override
public DoubleAverageInfo poll(@NonNull MillisPerTick window) {
switch (window) {
case SECONDS_10:
return stats.duration10Sec();
case MINUTES_1:
return stats.duration1Min();
case MINUTES_5:
return stats.duration5Min();
default:
throw new AssertionError(window);
}
}
};
}
@Override
public @NonNull Map<String, GarbageCollector> gc() {
long serverUptime = System.currentTimeMillis() - this.platform.getServerNormalOperationStartTime();
Map<String, GarbageCollectorStatistics> stats = GarbageCollectorStatistics.pollStatsSubtractInitial(
this.platform.getStartupGcStatistics()
);
Map<String, GarbageCollector> map = new HashMap<>(stats.size());
for (Map.Entry<String, GarbageCollectorStatistics> entry : stats.entrySet()) {
map.put(entry.getKey(), new GarbageCollectorInfo(entry.getKey(), entry.getValue(), serverUptime));
}
return ImmutableMap.copyOf(map);
}
public static void register(Spark spark) {
try {
SINGLETON_SET_METHOD.invoke(null, spark);
} catch (ReflectiveOperationException e) {
e.printStackTrace();
}
}
public static void unregister() {
try {
SINGLETON_SET_METHOD.invoke(null, new Object[]{null});
} catch (ReflectiveOperationException e) {
e.printStackTrace();
}
}
}
|