How to use MySQL triggers to implement automatic archiving of data Introduction: In the field of modern data management, automatic archiving and cleaning of data is an important and common requirement. As the amount of data increases, retaining complete historical data will occupy excessive storage resources and reduce query performance. MySQL triggers provide an effective way to achieve this requirement. This article will introduce how to use MySQL triggers to achieve automatic archiving of data. 1. What is a MySQL trigger? A MySQL trigger is a special kind of memory.

To search for specific strings in IIS logs, use built-in Windows tools or scripts. 1. Use the findstr command of the command prompt to search recursively, such as: findstr/s/i/m"string"*.log; 2. Use PowerShell to perform more flexible searches, such as: Get-ChildItem combined with Select-String and supports regular expressions; 3. When using frequently, you can use the LogParser tool to support SQL syntax query and can export results; 4. Note that the log location may be different, and large files need to optimize the search method.

IIS logs are stored in the inetpub\logs\LogFiles directory of the C drive by default and will not be cleaned automatically. The retention period needs to be controlled manually or through scripts. To modify the path, you can open IIS Manager → select a site or server node → double-click "Login" → click "..." to select a new directory. It is recommended to use non-system disks such as D:\IISLogs or multiple servers to configure the network path in a unified manner; set retention time can be achieved through LogParser scripts, task planning PowerShell scripts (such as 30 days of retention), third-party tools, etc.; in addition, it is recommended to adjust the log format as needed, close unnecessary fields, or temporarily close the debug log, and enable log compression to optimize performance and space usage.

IIS logs on multiple servers can be implemented in the following ways: 1. Use Windows event forwarding, suitable for scenarios where logs have been written to event logs, create subscriptions on the central server and configure forwarding rules on each IIS server; 2. Use file sharing scripts to collect regularly, suitable for small environments, use scripts to copy log files from each server regularly, combining robocopy or xcopy with scheduled task execution; 3. Deploy log collection tools such as Logstash, NXLog, Fluentd, suitable for large-scale environments, support automatic collection, filtering, compression and forwarding, and have failed retry and breakpoint continuous transmission functions. In addition, it is necessary to unify the log path, configure access permissions, pay attention to the log rotation mechanism and consider compression

IIS can automatically split logs by file size through registry configuration. 1. Enter the "Log" setting in the IIS manager, check "Enablelogrolloverbasedonfilesize", and uncheck "Schedule". 2. Modify the registry path HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\W3SVC\Parameters, add or modify the MaxFileSizeDWORD value (unit bytes), such as 100MB is 104857600. 3. Restart the IIS effective settings and pay attention to setting the file size reasonably to balance performance and management

Application pool crashes can quickly locate the causes by analyzing the IIS log. 1. First check the W3SVC log at the crash time point, search for 503 errors, and determine whether it is caused by application pool crash or frequent recycling; 2. Combine the HTTPERR log to check whether there are any underlying error entries such as Connection_Dropped or RequestQueueFull, and confirm that the backend cannot respond; 3. Check the application and system logs in the event viewer, find events such as 5002, 5015, 5017 from WAS or IIS-WMSVC sources, and confirm that the application pool life cycle abnormality; 4. Troubleshoot common causes, such as code exceptions, unavailability of dependency resources, rapid failure triggering, memory leaks, etc., and combine debugging tools

ThedefaultIISlogfilepathisC:\inetpub\logs\LogFiles,butitcanbecustomized.1.EachwebsitehasitsownsubfolderlikeW3SVC1.2.Tofindtheexactpath,openIISManager,selectthesite,andchecktheLoggingsection.3.LogsusetheW3Cformatandcontaindetailslikerequesttime,IPaddr

ParsingIISlogswithPowerShell is a way to quickly get useful information without complex tools. 1. First understand the IIS log format, which defaults to W3C extended log format, and fields are separated by spaces; 2. Use the Import-Csv command to import the log file and skip the comment lines, pay attention to handling the quotation fields; 3. Use Where-Object, Group-Object and other commands to filter 404 errors, count IP requests, and query specific page access; 4. The analysis results can be exported to CSV for reporting; 5. This method is suitable for small and medium-sized log files. Large-scale or complex analysis can consider tools such as LogParser and ELKStack.