The prudent mode in logback serializes IO operations between all JVMs writing to the same file, potentially running on different hosts. In other logging frameworks, logging to a central TCP (or JMS) appender seems to be the only solution if output from many loggers should go to the same file.
As I am using a Delphi library which is based on log4j and also can not log to the same file from different instances of the same applications (on a terminal server), it would be interesting to know how this feature is implemented. - p.s. I'll check the logback source code and come back to answer my question if nobody is faster :)
It's implemented with a simple FileLock. You can check in the source of FileAppender.
Related
I have 3 question about logging inside srping
First:
spring documentation:
By default, If you use the ‘Starter POMs’, Logback will be used for
logging. Appropriate Logback routing is also included to ensure that
dependent libraries that use Java Util Logging, Commons Logging, Log4J
or SLF4J will all work correctly.
I don't understand that if a third-party library uses a different logger, what problem will be created in the program? If that library uses another logger, that logger is located as a dependency in its jar file, and when the library is added that logger is also added and there is no problem.
second:
I saw in a tutorial that it says that trace and debug are disabled by default in spring because it causes performance problems. I understand why trace is a problem because it must report everything that happens in the program. But why does debug cause performance problems? When I did: debug=true, it didn't take me that much time. So what's the problem?
Third:
In this tutorial, it says that logback does not have a FATAL level. Why not? Is it possible that the spring boot program does not have some of the required settings, but it can still start without the need for FATAL?
Different logging implementations require different configurations. Log4j uses XML and Java-Util-Log (JUL) uses properties. Also the xml sematics differs.
So you do not like to configure all logging implementations individually. You like to configure one logging configuration to rule them all, one source-of-truth for logging-config. This have nothing to do with the main intend of the software you are running. Later logging-frameworks generalize older logging-frameworks, so you need the latest logging-framework to rule them all.
Let me rephrase first: Why do we differ between debug and trace? Debug (or de-bug) is a special condition that let you inspect a bug for debugging purposes. Debug may show clients real-world firstname and family-name, in order to output those informations you need code under debugging-circumstances only. To log them may cause legal problems because you are processing/storing personal informations without permission in log-files. In order to de-bug a software you need the debug-log in 90% of all cases. Only in rare cases you need the trace-log. That meens they differ.
Thats a good one. Fatal for me meens the server has hardware problems (burning hard-drive, loose of power supply). This is indicated by errors. Seriously? I have no idea. I may argue that everything that is fatal-worthit should be an error.
I want to send logs from a Java app to ElasticSearch, and the conventional approach seems to be to set up Logstash on the server running the app, and have logstash parse the log files (with regex...!) and load them into ElasticSearch.
Is there a reason it's done this way, rather than just setting up log4J (or logback) to log things in the desired format directly into a log collector that can then be shipped to ElasticSearch asynchronously? It seems crazy to me to have to fiddle with grok filters to deal with multiline stack traces (and burn CPU cycles on log parsing) when the app itself could just log it the desired format in the first place?
On a tangentially related note, for apps running in a Docker container, is best practice to log directly to ElasticSearch, given the need to run only one process?
If you really want to go down that path, the idea would be to use something like an Elasticsearch appender (or this one or this other one) which would ship your logs directly to your ES cluster.
However, I'd advise against it for the same reasons mentioned by #Vineeth Mohan. You'd also need to ask yourself a couple questions, but mainly what would happen if your ES cluster goes down for any reason (OOM, network down, ES upgrade, etc)?
There are many reasons why asynchronicity exists, one of which is robustness of your architecture and most of the time that's much more important than burning a few more CPU cycles on log parsing.
Also note that there is an ongoing discussion about this very subject going on in the official ES discussion forum.
I think it's usually ill-advised to log directly to Elasticsearch from a Log4j/Logback/whatever appender, but I agree that writing Logstash filters to parse a "normal" human-readable Java log is a bad idea too. I use https://github.com/logstash/log4j-jsonevent-layout everywhere I can to have Log4j's regular file appenders produce JSON logs that don't require any further parsing by Logstash.
There is also https://github.com/elastic/java-ecs-logging which provides a layout for log4j, log4j2 and Logback. It's quite efficient and the Filebeat configuration is very minimal.
Disclaimer: I'm the author of this library.
If you need a quick solution I've written this appender here Log4J2 Elastic REST Appender if you want to use it. It has the ability to buffer log events based on time and/or number of events before sending it to Elastic (using the _bulk API so that it sends it all in one go). It has been published to Maven Central so it's pretty straight forward.
As the other folks have already mentioned the best way to do it would be to save it to file, and then ship it to ES separately. However I think that there is value if you need to get something running quickly until you have time/resources implement the optimal way.
Is there any way I can use SLF4J to only set my log files location at runtime and independently of logging framework?
Because I already saw other posts that present a solution, but they are for a specific framework, either logbak or log4j.
No. The location of the log file is part of the concrete appenders configuration. SLF4J has no knowledge of what happens with logging events after it hands them off to the binding it uses - and it also shouldn't try to interfere.
Since any application should only use one logging implementation at any time, there should still just be one place to configure the log file location, so I'm having a hard time seeing a problem with that. Does it matter whether you configure that location at the logging facade or the implementation? Or were you actually thinking of providing a root location from which each implementation should relatively define its own file (which might be a useful idea, but still not possible)?
I'm using the Enerjy (http://www.enerjy.com/) static code analyzer tool on my Java code. It tells me that the following line:
System.err.println("Ignored that database");
is bad because it uses System.err. The exact error is: "JAVA0267 Use of System.err"
What is wrong with using System.err?
Short answer: It is considered a bad practice to use it for logging purposes.
It is an observation that in the old times when there where no widely available/accepted logging frameworks, everyone used System.err to print error messages and stack traces to the console. This approach might be appropriate during the development and local testing phase but is not appropriate for a production environment, because you might lose important error messages. Because of this, in almost all static analysis tools today this kind of code is detected and flagged as bad practice (or a similarly named problem).
Logging frameworks in turn provide the structured and logical way to log your events and error messages as they can store the message in various persistent locations (log file, log db, etc.).
The most obvious (and free of external dependencies) hack resolution is to use the built in Java Logging framework through the java.util.logging.Logger class as it forwards the logging events to the console by default. For example:
final Logger log = Logger.getLogger(getClass().getName());
...
log.log(Level.ERROR, "Something went wrong", theException);
(or you could just turn off that analysis option)
the descriptor of your error is:
The use of System.err may indicate residual debug or boilerplate code. Consider using a
full-featured logging package such as Apache Commons to handle error logging.
It seems that you are using System.err for logging purposes, that is suboptimal for several reasons:
it is impossible to enable logging at runtime without modifying the application binary
logging behavior cannot be controlled by editing a configuration file
problably many others
Whilst I agree with the points above about using a logging framework, I still tend to use System.err output in one place: Within shut-down hooks. This is because I discovered that when using the java.util.logging framework log statements are not always displayed if they occur in shut-down hooks. This is because the logging library presumably contains its own shutdown hook to clean up log files and other resources, and as you can't rely on the order in which shutdown hooks run, you cannot rely on java.util.logging statements working as expected.
Check out this link (the "Comments" section) for more information on this.
http://weblogs.java.net/blog/dwalend/archive/2004/05/shutdown_hooks_2.html
(Obviously the other alternative is to use a different logging framework.)
System.err is really more for debugging purposes than anything else. Proper exception handling and dealing with errors in a manner that is more user-friendly is preferred. If the user is meant to see the error, use a System.out.println instead.
If you want to keep track of those errors from a developer's standpoint, you should use a logger.
Things written to System.err are typically lost at runtime, so it is considered a better practice to use a logging framework that is more flexible about where to output the message, so it can be stored as a file and analyzed.
System.err and System.out for non-console applications is only ever seen by the developer running the code in his or her IDE, and useful information may get lost if the item is triggered in production.
System.err.println and System.out.println should not be used as loggging-interface. STD-Output and STD-Error (these are written by System.out and .err) are for messages from command-line-tools.
System.err prints to the console. This may be suitable for a student testing their homework, but will be unsuitable for an application where these messages won't be seen (Console only store so many lines).
A better approach would be to throw an exception holding the message that would normally get sent to the console. An alternative to this would be use third party logging software which would store this messages in a file which can be stored forever.
Should new projects use logback instead of log4j as a logging framework ?
Or with other words :'Is logback better than log4j (leaving the SLF4J-'feature' of logback beside)?'
You should use SLF4J+Logback for logging.
It provides neat features like parametrized messages and (in contrast to commons-logging) a Mapped Diagnostic Context (MDC, javadoc, documentation).
Using SLF4J makes the logging backend exchangeable in a quite elegant way.
Additionally, SLF4J supports bridging of other logging frameworks to the actual SLF4J implementation you'll be using so logging events from third party software will show up in your unified logs - with the exception of java.util.logging that can't be bridged the same way that other logging frameworks are.
Bridging jul is explained in the javadocs of SLF4JBridgeHandler.
I've had a very good experience using the SLF4J+Logback combination in several projects and LOG4J development has pretty much stalled.
SLF4J has the following remaining downsides:
It does not support varargs to stay compatible with Java < 1.5
It does not support using both parametrized message and an exception at the same time.
It does not contain support for a Nested Diagnostic Context (NDC, javadoc) which LOG4J has.
The author (of both Logback and Log4j) has a list of reasons to change at http://logback.qos.ch/reasonsToSwitch.html.
Here are a few that stuck out at me;
Faster implementation
Based on our previous work on log4j,
logback internals have been
re-written to perform about ten times
faster on certain critical execution
paths. Not only are logback
components faster, they have a
smaller memory footprint as well.
Automatic reloading of configuration
files
Logback-classic can automatically
reload its configuration file upon
modification. The scanning process is
both fast and safe as it does not
involve the creation of a separate
thread for scanning. This technical
subtlety ensures that logback plays
well within application servers and
more generally within the JEE
environment.
Stack traces with packaging data
When logback prints an exception, the
stack trace will include packaging
data. Here is a sample stack trace
generated by the logback-demo
web-application.
14:28:48.835 [btpool0-7] INFO
c.q.l.demo.prime.PrimeAction - 99 is
not a valid value
java.lang.Exception: 99 is invalid
at
ch.qos.logback.demo.prime.PrimeAction.execute(PrimeAction.java:28)
[classes/:na] at
org.apache.struts.action.RequestProcessor.processActionPerform(RequestProcessor.java:431)
[struts-1.2.9.jar:1.2.9] at
org.apache.struts.action.RequestProcessor.process(RequestProcessor.java:236)
[struts-1.2.9.jar:1.2.9] at
org.apache.struts.action.ActionServlet.doPost(ActionServlet.java:432)
[struts-1.2.9.jar:1.2.9] at
javax.servlet.http.HttpServlet.service(HttpServlet.java:820)
[servlet-api-2.5-6.1.12.jar:6.1.12]
at
org.mortbay.jetty.servlet.ServletHolder.handle(ServletHolder.java:502)
[jetty-6.1.12.jar:6.1.12] at
ch.qos.logback.demo.UserServletFilter.doFilter(UserServletFilter.java:44)
[classes/:na] at
org.mortbay.jetty.servlet.ServletHandler$CachedChain.doFilter(ServletHandler.java:1115)
[jetty-6.1.12.jar:6.1.12] at
org.mortbay.jetty.servlet.ServletHandler.handle(ServletHandler.java:361)
[jetty-6.1.12.jar:6.1.12] at
org.mortbay.jetty.webapp.WebAppContext.handle(WebAppContext.java:417)
[jetty-6.1.12.jar:6.1.12] at
org.mortbay.jetty.handler.ContextHandlerCollection.handle(ContextHandlerCollection.java:230)
[jetty-6.1.12.jar:6.1.12]
From the above, you can recognize
that the application is using Struts
version 1.2.9 and was deployed under
jetty version 6.1.12. Thus, stack
traces will quickly inform the reader
about the classes invervening in the
exception but also the package and
package versions they belong to. When
your customers send you a stack
trace, as a developer you will no
longer need to ask them to send you
information about the versions of
packages they are using. The
information will be part of the stack
trace. See "%xThrowable" conversion
word for details.
This feature can be quite helpful to
the point that some users mistakenly
consider it a feature of their IDE.
Automatic removal of old log archives
By setting the maxHistory property of
TimeBasedRollingPolicy or
SizeAndTimeBasedFNATP, you can
control the maximum number of
archived files. If your rolling
policy calls for monthly rollover and
you wish to keep one year's worth of
logs, simply set the maxHistory
property to 12. Archived log files
older than 12 months will be
automatically removed.
There may be a bias there, but the same guy did write both frameworks and if he is saying use Logback over Log4j he's probably worth listening to.
I would use slf4j for logging in all cases. This allow you to choose which actual logging backend you want to use, at deploy time instead of code time.
This has proven to be very valuable to me. It allows me to use log4j in old JVM's, and logback in 1.5+ JVM's, and also java.util.logging if needed.
Logback more Java EE aware:
in general (from code to documentation) it’s keeping in mind containers – how multiple apps coexist, how class loaders implemented etc. Contexts for loggers, JNDI, JMX configuration included etc.
from developer prospective almost same, Logback adds
Parameterized logging (no need to use if(logger.isDebugEnabled()) to avoid string concatenation overhead )
Log4j – only giant plus is old JVM support, small (IMO)
NDC (Logback only MDC), some extensions. For example I wrote extension for configureAndWatch for Log4j, no such thing for Logback
the original log4j and logback were designed and implemented by the same guy.
several open source tools have used SLF4J. I don't see any significant deficiencies in this tool. So unless you have a lot extensions to log4j in your codebase, I would go ahead with logback.
I would think that your decision should come down to the same one it would if you were deciding between using log4j or Jakarta Commons Logging - are you developing a library which will be included in other applications? If so, then it doesn't seem fair to force users of your library to also use your logging library of choice.
If the answer is no, I would just go with what is simpler to add and what you are more comfortable with. Sounds like logback is just as extensible and reliable as log4j, so if you're comfortable using it, go ahead.
I'm not familiar with SLF4J, and I've only taken a brief look at logback, but two things come to mind.
First, why are you excluding a tool from examination? I think it's important to keep an open mind and examine all possibilities to choose the best one.
Second, I think that in some projects one tool is a better than another tool, and the opposite might be true in a different project. I don't think that one tool is always better than another tool. There is, after all, no silver bullet.
To answer your question - Yes and no. It depends on the project, and how familiar the team is with one tool. I wouldn't say "don't use log4j" if the entire team is very comfortable with it, it meets all the needs, and logback doesn't offer anything that we need to complete the task.