.)\ do\ {\ Logger &logger = Logger::instance();\ logger.setLogLevel(INFO);\...LOG_FATAL(LogmsgFormat,...)\ do{\ Logger &logger = Logger::instance();\ logger.setLogLevel...LOG_DEBUG(LogmsgFormat,...)\ do{\ Logger &logger = Logger::instance();\ logger.setLogLevel...class Logger:nocpoyable{ public: //获取单例 static Logger& instance(); //设置日志级别 void setLogLevel...懒汉 Logger& Logger::instance(){ static Logger logger; return logger; } //设置日志级别 void Logger::setLogLevel
1.设置 Log 输出 iOS&Mac： //设置输出 Log 级别为 Debug [TRTCCloud setLogLevel:TRTCLogLevelDebug] //启用控制台日志打印 [TRTCCloud...YES] //启用或禁用 Log 的本地压缩 [TRTCCloud setLogCompressEnabled:YES] Android //设置输出 Log 级别为 Debug trtcCloud.setLogLevel...getTRTCShareInstance(); } return TRTCMainViewController::g_cloud; } //设置输出 Log 级别为 Debug getTRTCCloud()->setLogLevel
路径 sdk 产品线 平台 修改 LiteAVSDK SmartUGCPlayerProfessionalEnterprise iOS&Mac //设置日志输出等级，最高级可关闭TXLiveBase setLogLevel...:LOGLEVEL_DEBUG; 安卓 //设置日志输出等级，，最高级可关闭TXLiveBase.setLogLevel(TXLiveConstants.LOG_LEVEL_DEBUG);...TRTC iOS&Mac //设置输出 Log 级别，最高级可关闭TRTCCloud setLogLevel:TRTCLogLevelDebug//修改日志路径TRTCCloud setLogDirPath...:(NSString *)path 安卓 //设置输出 Log 级别，最高级可关闭trtcCloud.setLogLevel(TRTCCloudDef.TRTC_LOG_LEVEL_DEBUG);/...log 文件路径，不设置时为默认路径@property(nonatomic,retain) NSString * logPath; 安卓 //设置写日志等级，最高级可关闭TIMSdkConfig setLogLevel
stderr * @return */ bool setFileName(QString name = "stderr"); /** * @brief setLogLevel...E_WARNING、E_CRITICAL、E_FATAL 或者这些项的组合（bit or） * 没有设置的 level 则不输出日志 */ void setLogLevel...(LEVEL level); /** * @brief setLogLevel 设置哪些级别的信息要输出到文件 * @param debug true 表示 qDebug...bool info, bool warning, bool critical, bool fatal) :m_where(true) { setFileName(name); setLogLevel...; } FileLogger::FileLogger(QString name, LEVEL level) :m_where(false) { setFileName(name); setLogLevel
adc –host xx.xx.xx.xx:22118 –log ‘SetLogLevel(0)[error]’ adc –host xx.xx.xx.xx:22118 –log ‘SetLogLevel...adc –host xx.xx.xx.xx:22118 –log ‘SetLogLevel(0)[error]’ adc –host xx.xx.xx.xx:22118 –log ‘SetLogLevel...adc –host xx.xx.xx.xx:22118 –log ‘SetLogLevel(0)[error]’ adc –host xx.xx.xx.xx:22118 –log ‘SetLogLevel...adc –host xx.xx.xx.xx:22118 –log ‘SetLogLevel(0)[error]’ adc –host xx.xx.xx.xx:22118 –log ‘SetLo 本节介绍如何基于迁移好的
= null && group.hasMembers()) {group.configureLogLevel(configuredLevel, this.loggingSystem::setLogLevel...);return;}this.loggingSystem.setLogLevel(name, configuredLevel);}//......}LoggersEndpoint提供了loggers、loggerLevels...LoggerGroup定义了name、members、configuredLevel属性，其configureLogLevel会遍历members，通过configurer(LoggingSystem接口定义了setLogLevel...levelLogbackLoggingSystemorg/springframework/boot/logging/logback/LogbackLoggingSystem.java@Overridepublic void setLogLevel...= null) {logger.setLevel(LEVELS.convertSystemToNative(level));}}LogbackLoggingSystem的setLogLevel委托给了logger.setLevelsetLevelch
= null && group.hasMembers()) { group.configureLogLevel(configuredLevel, this.loggingSystem::setLogLevel...); return; } this.loggingSystem.setLogLevel(name, configuredLevel); } //...... } LoggersEndpoint...LoggerGroup定义了name、members、configuredLevel属性，其configureLogLevel会遍历members，通过configurer(LoggingSystem接口定义了setLogLevel...LogbackLoggingSystem org/springframework/boot/logging/logback/LogbackLoggingSystem.java @Override public void setLogLevel...= null) { logger.setLevel(LEVELS.convertSystemToNative(level)); } } LogbackLoggingSystem的setLogLevel
To adjust logging level use sc.setLogLevel(newLevel)....For SparkR, use setLogLevel(newLevel). 23/07/30 21:39:59 WARN NativeCodeLoader: Unable to load native-hadoop...To adjust logging level use sc.setLogLevel(newLevel)....For SparkR, use setLogLevel(newLevel). 23/07/30 21:46:54 WARN NativeCodeLoader: Unable to load native-hadoop...To adjust logging level use sc.setLogLevel(newLevel).
SparkConf().setAppName("wordcount").setMaster("local[*]") val sc = new SparkContext(conf) sc.setLogLevel...SparkConf().setAppName("wordcount").setMaster("local[*]") val sc = new SparkContext(conf) sc.setLogLevel...SparkConf().setAppName("wordcount").setMaster("local[*]") val sc = new SparkContext(conf) sc.setLogLevel...new SparkConf().setAppName("wordcount").setMaster("local[*]") val sc = new SparkContext(conf) sc.setLogLevel...new SparkConf().setAppName("wordcount").setMaster("local[*]") val sc = new SparkContext(conf) sc.setLogLevel
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel)....To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
configuredLevel) { Assert.notNull(name, "Name must not be empty"); this.loggingSystem.setLogLevel...这样，上面的代码就很好理解了—— configureLogLevel 方法里面就一行代码 ：this.loggingSystem.setLogLevel(name, configuredLevel);...不妨点进去看看，然后发现代码如下： // org.springframework.boot.logging.LoggingSystem#setLogLevel public void setLogLevel...org.springframework.boot.logging.LoggingSystem.NoOpLoggingSystem Spring Boot 2.x中，默认使用Logback，因此进入到 LogbackLoggingSystem 中，代码如下： @Override public void setLogLevel
" ok") } else { logger.Output(LevelFatal, fmt.Sprintf("%s %+v", s, err)) os.Exit(1) } } func SetLogLevel...(level Level) { logger.SetLogLevel(level) } type logManager struct { _log *log.Logger //小于等于该级别的level...LevelInfo, s+"ok") } else { l.Output(LevelWarning, s+fmt.Sprintf("%+v", err)) } } func (l *logManager) SetLogLevel
log路径sdk产品线平台修改LiteAVSDKSmart UGC Player Professional EnterpriseiOS&Mac//设置日志输出等级，最高级可关闭 [TXLiveBase setLogLevel...:LOGLEVEL_DEBUG];安卓//设置日志输出等级，，最高级可关闭 TXLiveBase.setLogLevel(TXLiveConstants.LOG_LEVEL_DEBUG);TRTC Professional...EnterpriseiOS&Mac//设置输出 Log 级别，最高级可关闭 [TRTCCloud setLogLevel:TRTCLogLevelDebug] //修改日志路径 [TRTCCloud...setLogDirPath:(NSString *)path]安卓//设置输出 Log 级别，最高级可关闭 trtcCloud.setLogLevel(TRTCCloudDef.TRTC_LOG_LEVEL_DEBUG...//log 文件路径，不设置时为默认路径 @property(nonatomic,retain) NSString * logPath;安卓//设置写日志等级，最高级可关闭 TIMSdkConfig setLogLevel
= SparkConf().setAppName("mini").setMaster("local[*]") sc = SparkContext.getOrCreate(conf=conf) sc.setLogLevel...= SparkConf().setAppName("mini2").setMaster("local[*]") sc = SparkContext.getOrCreate(conf=conf) sc.setLogLevel...SparkConf().setAppName(“mini2”).setMaster(“local[*]”) sc = SparkContext.getOrCreate(conf=conf) sc.setLogLevel...= SparkConf().setAppName("mini2").setMaster("local[*]") sc = SparkContext.getOrCreate(conf=conf) sc.setLogLevel...SparkConf().setAppName(“mini2”).setMaster(“local[*]”) sc = SparkContext.getOrCreate(conf=conf) sc.setLogLevel
appName("SparkSQL").getOrCreate() val sc: SparkContext = spark.sparkContext //设置日志级别 sc.setLogLevel...appName("SparkSQL").getOrCreate() val sc: SparkContext = spark.sparkContext //设置日志级别 sc.setLogLevel..."local[*]").appName("SparkSQL") .getOrCreate() val sc: SparkContext = spark.sparkContext sc.setLogLevel..."local[*]").appName("SparkSQL") .getOrCreate() val sc: SparkContext = spark.sparkContext sc.setLogLevel...("local[*]").appName("SparkSQL").getOrCreate() val sc: SparkContext = spark.sparkContext sc.setLogLevel
To adjust logging level use sc.setLogLevel(newLevel)....For SparkR, use setLogLevel(newLevel). 23/07/30 20:11:35 WARN NativeCodeLoader: Unable to load native-hadoop...To adjust logging level use sc.setLogLevel(newLevel)....For SparkR, use setLogLevel(newLevel). 23/07/30 20:37:03 WARN NativeCodeLoader: Unable to load native-hadoop...To adjust logging level use sc.setLogLevel(newLevel).
= null && group.hasMembers()) { group.configureLogLevel(configuredLevel, this.loggingSystem::setLogLevel...); return; } this.loggingSystem.setLogLevel(name, configuredLevel); } LoggersEndpoint定义了configureLogLevel
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