Logger. getLogger and LogFactory. getLog, logger. getlogger
Logger. getLogger and LogFactory. getLog
Logger. getLoggerLogFactory. getLogLogger comes from the log4j package. If you use Logger. getLogger, you need a log4j jar package. In this way, you can only rely on log4j:LogFactory comes from the common-
This article introduces the logging module-level functions of the python log module.
Logging. getLogger ([name]): returns a logger object. If no name is specified, the root logger is returned.
Logging. debug (), logging.info (), logging. warning (),
output stream of logs. You can specify the output stream to sys. stderr, sys. stdout or file, which is output to sys by default. stderr. When stream and filename are both specified, stream is ignored.
3. Output logs to both files and screens.
Import logginglogging. basicConfig (level = logging. DEBUG, format = '% (asctime) s % (filename) s [line: % (lineno) d] % (levelname) s % (message) s ', datefmt = '% a, % d % B % Y % H: % M: % s', filename = 'my
This article is transferred from Kenby's blog, more comprehensive move, turn to stay for later use.http://kenby.iteye.com/blog/1162698First, starting from a usage scenarioImportLogging#Create a loggerLogger = Logging.getlogger ('MyLogger') Logger.setlevel (logging. DEBUG)#create a handler to write to the log fileFH = logging. Filehandler ('Test.log') Fh.setlevel (loggin
(...)Logging. warn (...)Logging. error (...)Logging. critical (...)
After logging is configured, use ''logging. debug'' to replace all print statements. The output is as follows:
The code is as follows:
[15:17:45, 216] root: cur: 0, start: 1, end: 100[15:17:45, 216] root:
Detailed description of Python self-built logging module and python self-built logging Module
Easy to use
At first, we used the shortest code to experience the basic functions of logging.
Import logginglogger = logging. getLogger () logg
Logging.info ('info ') # Ignored Logging. warning ('warn ') Logging. error ('error ') # ----- Result #21:42:15, 592-WARNING: warn #21:42:15, 640-ERROR: error Logging. getLogger ([name])
Create a Logger object. Logger objects are used to record logs. You must provide the Logger name when calling
The initial setup of my logging frameworkHow to set up my log frame.The original text comes from Http://log4e.jayefem.de/index.php/Log4E:FAQIf you are are already familiar with your logging framework you might want to skip this section.This is chapter gives you a slight idea of how to make the initial setup of your logger. This isn't supported by log4e at the moment and the ' not ' intended use in the begin
is "16:49:45, 896 ". The comma is followed by a millisecond
% (Thread) d
Thread ID. Not possible
% (ThreadName) s
Thread name. Not possible
% (Process) d
Process ID. Not possible
% (Message) s
User Output Message
If you want to print logs on the screen and file logs at the same time, you need to know a little complicated information.
Using the logging module to record logs in Python involves
Use python's logging module and pythonlogging Module
I. Starting from a use case
To develop a log system, you must output logs to the console and write log files.
Python code
Import logging
# Create a logger
Logger = logging. getLogger ('mylogger ')
Logger. setLevel (loggin
", disable_existing_loggers = 0) to solve the problem. However, because the code is in the same program, you can use the logging. getLogger (LOGGOR_NAME) function to reference the same logger without calling the logging. config. fileConfig function to reload it.
Problem 2 solution:
The logger object has a property propagate. If this property is True, the informat
Python built-in Log Module logging Usage Details, pythonlogging
Introduction to the logging Module
The logging module of Python provides a common log system for third-party modules or applications. This module provides different log levels and records logs in different ways, such as files, http get/POST, SMTP, and Socket. You can even implement specific
a module using logging is a simple way to create a Rotatingfilehandler, the number of log files and the maximum size of each log file is controlled by Rotatingfilehandler rollback logging. and create a formatter object to format the log file. Using the logging object generated by this method in the program to log, it is obvious that in this way, the log will be
Java program log: java. util. logging. Logger class,1. Logger level
More detailed than the log4j Level, all defined in java. util. logging. Level.The levels are listed in descending order as follows:SEVERE (maximum value)WARNINGINFOCONFIGFINEFINERFINEST (minimum value)In addition, there is a level OFF that can be used to Disable Logging and enable
Log4net logging, detailed configuration (for your own use), and log4net Logging
[From Baidu encyclopedia] The log4net library is based on the Apache log4j framework in Microsoft. NET platform is a tool that helps programmers output log information to various targets (console, files, databases, etc.
1. First Add a reference to log4net. dll. You can download nuget from [http://logging.apache.org/log4net/downl
The python logging module may be confusing.The python logging module is mainly a general-purpose log system provided by python. The method used is actually quite simple. The following describes how to call multiple python files when using the python logging module. Different logging methods are set for each file, which
Logging Module Introduction
Python's logging module provides a common logging system that can be easily used by Third-party modules or applications. This module provides different log levels and can record logs in different ways, such as files, HTTP get/post,smtp,socket, etc., and can even implement specific logging m
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