hfm logs

SQL Server 2008 methods to delete or Compress database logs 2010-09-20 20:15Because the database log growth is set to "unlimited", so the time a long log file will inevitably be very large, a 400G database actually has 600G log file, seriously occupy the disk space. Because the main is to do OLAP, so the database itself will not have a big change, so the log will not have much effect, so try to shrink the database log file to very small or delete.Afte

): Starting activity:intent {action=android.intent.action ...}If you want to reduce the content of the output, you can add filter expression restrictions, the filter can limit the system to output only the tag-priority combination of interest.The format of the filter expression is tag:priority ..., where tag is the token, priority is the minimum precedence, and the token identifies all messages that are greater than or equal to the specified priority level to be written to the log. You can also

First: The binary log logs all mysql-related log records, including InnoDB MyISAM heap, and other engine logs. The redo log for the InnoDB engine only records the transaction log associated with it.Second: The content of the record is different, whether you set the binary log file format to statement or row, or mixed, its record is about a thing specific operation content. While the redo log file of the Inn

Tags: config--How to root Prevent tool information targe. NetLinux syslog, System log, logs, system, network, kernel, service, etc.[Email protected] ~]# cat/var/log/messagesImagine that if all the operating contents of the system are recorded in the file, it will cause the file to be too large and how to avoid it.[[emailprotected] ~]# du-sh! $du-sh/var/log/messages228k/var/log/messages# found the log is not large [[emailprotected] ~] # ls/var/log/mess

Label: Using the Pyinotify library, I'm using this here, https://github.com/seb-m/pyinotify.In fact, on-line Yum also has pyinotify Library can be installed.Write database is pymysql here to make a record,The first-service pyinotify implements a tail-f function: #!/opt/python3/bin/python3 # Import pyinotify import time import OS import sys class Processtransientfile (pyinotify. processevent): def process_in_modify (self,event): Line = File.readline () if line: pr

Mysql-14-mysql log management, mysql-14-mysql logs 1. Introduction The log file records the changes that occur during the running of the mysql database, such as the client connection status of the mysql database, SQL statement execution status, and error information. When the database is accidentally damaged, you can view the causes of file errors in logs, recover data through

MysqlbinlogA tool that reads statements from binary logs. Logs of executed statements contained in the binary log file can be used to help recover from a crash. I. MYSQL database logs:1. error log:-log-error2. query logs:-log3. slow query log:-log-slow-queries4. update log:-log-update5. binary log:-log-binThe following

Log management, as a common part of a software project, is particularly important in both development and automated testing processes.Originally intended to use Python's logging module to manage logs, it later looked at GitHub and others ' automated framework designs, made a comparison, or decided to use logbook.This blog, describes the use of the logbook module in Python, for reference only ...First, download the installation1. File InstallationDownl

host (ip:192.168.0.112) logs are all on the log server can be viewed, is not very convenient it;"Supplemental Note: Statistics cannot display graphics solutions"The normal display is as follows:650) this.width=650; "src=" http://s3.51cto.com/wyfs02/M02/6E/C9/wKioL1WII1KgqRjTAAU5ZeSzU5g834.jpg "style=" float: none; "title=" 13.png "alt=" Wkiol1wii1kgqrjtaau5zeszu5g834.jpg "/>Error one: Due to incorrect time zone settings in PHP;650) this.width=650; "s

When using microservices, it is often used as a feign client to invoke other microservices, but it is difficult to see specific requests and responses in the logs. Therefore, you need to open the feign default log.Log Settings Creating the Feign Configuration class @Configurationpublic class FeignLogConfiguration { @Bean Logger.Level feignLoggerLevel() { return Logger.Level.FULL; }} Where Logger.Level is the enumeration cl

Common system logs under Linux are usually placed in the/var/log/directory, the following is a common system log in this directory: Log name Description Dmesg Core Boot Log Messages System error Log Maillog Mail system Log Boot.log System Boot Process log Cron Record Daemon Derivation subroutine Syslog Log warning messag

CatTail-fLog file description /var/log/message system startup information and error log, which is one of the most commonly used logs in red Hat Linux /var/log/secure Security-related log information /var/log/maillog message-related log information /var/log/cron log information related to timed tasks /var/log/spooler log information related to UUCP and news devices /var/log/boot.log Daemon starts and stops related log messa

CatTail-fLog file description /var/log/message system startup information and error log, which is one of the most commonly used logs in red Hat Linux /var/log/secure Security-related log information /var/log/maillog message-related log information /var/log/cron log information related to timed tasks /var/log/spooler log information related to UUCP and news devices /var/log/boot.log Daemon starts and stops related log messa

Reproduced in: http://mushme.iteye.com/blog/1001478.Cattail-fLog file description/var/log/message system startup information and error log, which is one of the most commonly used logs in red Hat Linux/var/log/secure Security-related log information/var/log/maillog message-related log information/var/log/cron log information related to timed tasks/var/log/spooler log information related to UUCP and news devices/var/log/boot.log Daemon starts and stops

#-*-Coding:utf-8-*-Import logging# Configure log informationLogging.basicconfig (level=logging. DEBUG,format= '% (asctime) s% (name) -12s% (levelname) -8s% (message) s ',datefmt= '%m-%d%h:%m ',Filename= ' Myapp.log ',Filemode= ' W ')# define a handler print info and above level log to Sys.stderrconsole = logging. Streamhandler ()Console.setlevel (Logging.info)# Set Log Print formatFormatter = logging. Formatter ('% (name) -12s:% (levelname) -8s% (message) s ')Console.setformatter (Formatter)# Ad

The user log information needs to be counted, when the user behavior is analyzed, the shell can often easily take out a lot of data, and then put it in Excel.For example: The statistics log contains loadcustomprocess This address of access, by access time-consuming sort:grep "Loadcustomprocess"/home/workflow/socket.txt | Awk-f "" ' {print $11} ' |awk-f ":" ' {print $} ' |sort-nrThe query appears "INFO", the Top 10 records appear:grep "INFO"/usr/share/tomcat6/

1, the path of the query command with which; for example Which-ls2, query the current working directory using PWR (print working directory);3, query the current environment variable printenv (print environment);You can see the current host name, terminal type, path, and path using the environment variable. A bunch of paths separated by colons4, random input a Linux command if the output is too long (such as Ls-la/dev) can use the Shift+pgup or SHIFT+PGDN key combination to view the command outpu

NetweaverTransaction code smicm,goto->http plug-in->server Logs:CloudfoundryAssuming I deploy a local app to Cloudfoundry, the app's state changes to crashed. However, there is not much useful information to be seen from the console of the application.You can now use the command CF logs From the log returned we can see clearly that the reason for crash after application deployment is that the 512M allocated for the application is not large enough for

MS SQL Server logs grow very fast, after a long time, log files will be large, take up a lot of hard disk space, so you need to periodically clear the log, you can use the following four ways: Method One: 1, open Query Analyzer, input command BACKUP LOG database_name with NO_LOG 2, then open Enterprise Manager-right key to compress the database-all tasks-shrink the database-shrink the file-Select the log file-in the contraction method to choose to

Finished the four, five, six chapters of the content, we this week's Java learning into the anomaly, assertions and logs, remember that the teacher said that three chapters is the core of Java, is the core will be more difficult, anyway, I learned when the confused. After I learned the anomaly, the assertion and the log, I regained confidence in Java.This week's learning content is not very difficult, coupled with the teacher explained in detail again