Fork me on GitHub

scala通过反射获取当前类类名

先编写HelloWord.scala文件

1
2
3
4
5
6
object HelloWorld {
def main(args: Array[String]) {
// 获取当前类类名
println(this.getClass.getName.stripSuffix("$"))
}
}

命令行使用scalac HelloWorld.scala编译后产生两个文件分别为HelloWorld.class和HelloWorld$.class

spark源码中的案例

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
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

package org.apache.spark.internal

import org.apache.log4j.{Level, LogManager, PropertyConfigurator}
import org.slf4j.{Logger, LoggerFactory}
import org.slf4j.impl.StaticLoggerBinder

import org.apache.spark.util.Utils

/**
* Utility trait for classes that want to log data. Creates a SLF4J logger for the class and allows
* logging messages at different levels using methods that only evaluate parameters lazily if the
* log level is enabled.
*/
private[spark] trait Logging {

// Make the log field transient so that objects with Logging can
// be serialized and used on another machine
@transient private var log_ : Logger = null

// Method to get the logger name for this object
protected def logName = {
// Ignore trailing $'s in the class names for Scala objects
this.getClass.getName.stripSuffix("$")
}

// Method to get or create the logger for this object
protected def log: Logger = {
if (log_ == null) {
initializeLogIfNecessary(false)
log_ = LoggerFactory.getLogger(logName)
}
log_
}

// Log methods that take only a String
protected def logInfo(msg: => String) {
if (log.isInfoEnabled) log.info(msg)
}

protected def logDebug(msg: => String) {
if (log.isDebugEnabled) log.debug(msg)
}

protected def logTrace(msg: => String) {
if (log.isTraceEnabled) log.trace(msg)
}

protected def logWarning(msg: => String) {
if (log.isWarnEnabled) log.warn(msg)
}

protected def logError(msg: => String) {
if (log.isErrorEnabled) log.error(msg)
}

// Log methods that take Throwables (Exceptions/Errors) too
protected def logInfo(msg: => String, throwable: Throwable) {
if (log.isInfoEnabled) log.info(msg, throwable)
}

protected def logDebug(msg: => String, throwable: Throwable) {
if (log.isDebugEnabled) log.debug(msg, throwable)
}

protected def logTrace(msg: => String, throwable: Throwable) {
if (log.isTraceEnabled) log.trace(msg, throwable)
}

protected def logWarning(msg: => String, throwable: Throwable) {
if (log.isWarnEnabled) log.warn(msg, throwable)
}

protected def logError(msg: => String, throwable: Throwable) {
if (log.isErrorEnabled) log.error(msg, throwable)
}

protected def isTraceEnabled(): Boolean = {
log.isTraceEnabled
}

protected def initializeLogIfNecessary(isInterpreter: Boolean): Unit = {
if (!Logging.initialized) {
Logging.initLock.synchronized {
if (!Logging.initialized) {
initializeLogging(isInterpreter)
}
}
}
}

private def initializeLogging(isInterpreter: Boolean): Unit = {
// Don't use a logger in here, as this is itself occurring during initialization of a logger
// If Log4j 1.2 is being used, but is not initialized, load a default properties file
val binderClass = StaticLoggerBinder.getSingleton.getLoggerFactoryClassStr
// This distinguishes the log4j 1.2 binding, currently
// org.slf4j.impl.Log4jLoggerFactory, from the log4j 2.0 binding, currently
// org.apache.logging.slf4j.Log4jLoggerFactory
val usingLog4j12 = "org.slf4j.impl.Log4jLoggerFactory".equals(binderClass)
if (usingLog4j12) {
val log4j12Initialized = LogManager.getRootLogger.getAllAppenders.hasMoreElements
// scalastyle:off println
if (!log4j12Initialized) {
val defaultLogProps = "org/apache/spark/log4j-defaults.properties"
Option(Utils.getSparkClassLoader.getResource(defaultLogProps)) match {
case Some(url) =>
PropertyConfigurator.configure(url)
System.err.println(s"Using Spark's default log4j profile: $defaultLogProps")
case None =>
System.err.println(s"Spark was unable to load $defaultLogProps")
}
}

if (isInterpreter) {
// Use the repl's main class to define the default log level when running the shell,
// overriding the root logger's config if they're different.
val rootLogger = LogManager.getRootLogger()
val replLogger = LogManager.getLogger(logName)
val replLevel = Option(replLogger.getLevel()).getOrElse(Level.WARN)
if (replLevel != rootLogger.getEffectiveLevel()) {
System.err.printf("Setting default log level to \"%s\".\n", replLevel)
System.err.println("To adjust logging level use sc.setLogLevel(newLevel). " +
"For SparkR, use setLogLevel(newLevel).")
rootLogger.setLevel(replLevel)
}
}
// scalastyle:on println
}
Logging.initialized = true

// Force a call into slf4j to initialize it. Avoids this happening from multiple threads
// and triggering this: http://mailman.qos.ch/pipermail/slf4j-dev/2010-April/002956.html
log
}
}

private object Logging {
@volatile private var initialized = false
val initLock = new Object()
try {
// We use reflection here to handle the case where users remove the
// slf4j-to-jul bridge order to route their logs to JUL.
val bridgeClass = Utils.classForName("org.slf4j.bridge.SLF4JBridgeHandler")
bridgeClass.getMethod("removeHandlersForRootLogger").invoke(null)
val installed = bridgeClass.getMethod("isInstalled").invoke(null).asInstanceOf[Boolean]
if (!installed) {
bridgeClass.getMethod("install").invoke(null)
}
} catch {
case e: ClassNotFoundException => // can't log anything yet so just fail silently
}
}

本文标题:scala通过反射获取当前类类名

文章作者:tang

发布时间:2019年01月04日 - 19:01

最后更新:2019年04月10日 - 18:04

原始链接:https://tgluon.github.io/2019/01/04/scala通过反射获取当前类类名/

许可协议: 署名-非商业性使用-禁止演绎 4.0 国际 转载请保留原文链接及作者。

-------------本文结束感谢您的阅读-------------