Apache log file date format


















This does not matter. I do not take care of fractions of a second in format 3, so you get a bit more out of the log than you specify Not locale aware look at Rudis post for a possible method.

Last edited by stomp; at PM.. It's always best in my view to convert date and time strings to unixtime and do all calculations in unixtime and then convert the results back to a time string based on locale local time information, timezone information, etc. That is why we store "time" in databases as unix timestamps. We do not, generally speaking, store "time" as a formatted time string.

Find all posts by Neo. If the logs are very big it may be a good trick to read them backwards, because maybe the interesting part is more likely at the end of the file, so we maybe save to read tons of old lines that way: Code :.

Shell Programming and Scripting. Perl to parse a variety of formats. The below perl script parses a variety of formats. If I use the numeric text file as input the script works correctly. However using the alpha text file as input there is a black output file.

Comparing different time formats. I am trying to do a comparison of files based on their last modified date. I am pulling the first file from a webapp folder using curl. Shell Script Parse log file after a given date and time stamp. I am developing one script which will take log file name, output file name, date, hour and minute as an argument and based on these inputs, the script will scan and capture all the error s that have been triggered from a given time.

Example: script should capture all the error after on Jan Parse A Log File. The first section of the log entry starts with the timestamp. The timestamp is locale-formatted and contains both the date and time for that specific log entry.

Each application should implement a logging format. This information is queried from the operating system for accurate locale time zone and format. In Windows, you can change the Apache Tomcat log files using the configuration manager. This tutorial showed you how to view and work with Apache Tomcat logs in the Windows system. To learn more, check the Apache Tomcat logging documentation. This is followed by the process ID and, if appropriate, the thread ID, of the process that experienced the condition.

Next, we have the client address that made the request. And finally is the detailed error message, which in this case indicates a request for a file that did not exist. A very wide variety of different messages can appear in the error log. Most look similar to the example above.

The error log will also contain debugging output from CGI scripts. Any information written to stderr by a CGI script will be copied directly to the error log. During testing, it is often useful to continuously monitor the error log for any problems. On Unix systems, you can accomplish this using:.

The LogLevel directive allows you to specify a log severity level on a per-module basis. In this way, if you are troubleshooting a problem with just one particular module, you can turn up its logging volume without also getting the details of other modules that you're not interested in. Do this by specifying the name of the module in your LogLevel directive:. The server access log records all requests processed by the server. The location and content of the access log are controlled by the CustomLog directive.

The LogFormat directive can be used to simplify the selection of the contents of the logs. This section describes how to configure the server to record information in the access log. Of course, storing the information in the access log is only the start of log management.

The next step is to analyze this information to produce useful statistics. Log analysis in general is beyond the scope of this document, and not really part of the job of the web server itself. For more information about this topic, and for applications which perform log analysis, check the Open Directory. The CustomLog directive now subsumes the functionality of all the older directives.

The format of the access log is highly configurable. The format is specified using a format string that looks much like a C-style printf 1 format string.

Some examples are presented in the next sections. This defines the nickname common and associates it with a particular log format string. The format string consists of percent directives, each of which tell the server to log a particular piece of information.

Literal characters may also be placed in the format string and will be copied directly into the log output. The quote character " must be escaped by placing a backslash before it to prevent it from being interpreted as the end of the format string. The CustomLog directive sets up a new log file using the defined nickname. The filename for the access log is relative to the ServerRoot unless it begins with a slash.

This standard format can be produced by many different web servers and read by many log analysis programs. The log file entries produced in CLF will look something like this:. Another commonly used format string is called the Combined Log Format. It can be used as follows. Or, to think of it another way, consider that it would be pretty straightforward to import the Apache access log to Excel and view it there.

For instance, you might do a search for all lines containing to see all instances of users requesting non-existent pages. This is a little more involved and may suffer when your files are particularly large, though.

And finally, you might also consume these logs via a more sophisticated, broader log management strategy by folding them into a log aggregation scheme. You leverage tooling that parses the logs for you and puts them into easily digestible formats, potentially including dashboards and graphs. You also have options beyond just how you consume the log file.

If you want and have the correct permissions to change settings in Apache , you can also customize the information recorded in the file. In your Apache configuration files, you can specify the variables you want to see in the access log. As you can see, this is powerful stuff. You can get an awful lot of information about requests to your site and the people making them. Instead, implement a well-thought approach to logging, which allows you to use your log files in the most efficient way possible.

This applies to application logging , but also for other categories of logging. Web server logging is certainly no exception. That contributes to keeping the signal-to-noise ratio as high as possible. When it comes to Apache log files, you can do that by leveraging conditional logging.

Conditional logging is exactly what its name suggests: to log based on a set of conditions, or criteria. For instance, you might want to remove your own IP address from the access log, so it only reflects access from real customers.



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