We are trying to deploy 2 versions of the same application on Tomcat 7 to test its parallel deployment features for our application.
Not meeting with success, I was looking for a definitive guide for parallel deployment on Tomcat 7.
Our application is a JSP based application but we can have changes often.
The definitive reference for parallel deployment comes directly from the Apache Software Foundation: http://tomcat.apache.org/tomcat-7.0-doc/config/context.html#Parallel_deployment.
Additionally, Mark Thomas wrote a summary article explaining how this feature works on the Context Container and across clusters: http://www.tomcatexpert.com/blog/2011/05/31/parallel-deployment-tomcat-7.
Yes, this feature has been available in tomcat for a while.
http://tomcat.apache.org/tomcat-7.0-doc/virtual-hosting-howto.html
You would create multiple <Host> elements
2011 has been a great year for the Tomcat Expert community. After almost 2 years of operating, the Tomcat Expert has hit its stride, unloading an array of new information, as well as keeping you up to date with the newest releases for Apache Tomcat 6 and Apache Tomcat 7. With the addition of two new Tomcat Expert Contributors, (Channing Benson and Daniel Mikusa), the Tomcat Expert community continues to build on its reputation for being the leading source for fresh perspectives and new information on how to best leverage Apache Tomcat in the enterprise.
My last article for Tomcat Expert described various aspects of the Valve construct of Apache Tomcat: some basics about how to implement and configure a valve and an example of where things could go wrong if you were unaware of the operational details. For those of you who don’t remember (or didn’t read the article in the first place), the key takeaway was that because Tomcat valves are maintained as a chain, the order in which the valves are added to the configuration (typically in conf/server.xml) is significant, and the code that implements the filter must conclude with a call to invoke the next filter in the chain.
This time we’re going to lighten things up a bit with a general survey of what valves are available and how one might put them to use. Given the imminent arrival of the winter holiday season, one might think of it as the Apache Tomcat Valve Gift Catalog. Peruse it and find just the right gift for your favorite Tomcat administrator.
For each valve, I’ll describe its functionality, the most important configuration parameters, and point out any configuration subtleties that might not be apparent from the stock documentation. that can be found at http://tomcat.apache.org/tomcat-7.0-doc/config/valve.html. If there are any less well-known attributes or “secret” parameters associated with the valve, I’ll describe them.
The AccessLogValve can be configured at the context, host, or engine level and will log requests made to that container to a file. Attributes of AccessLogValve control the directory, the filename, and the format of the data to be written, including the ability to write information about headers (incoming and outgoing), cookies, and session or request attributes.
This article is the second in a series discussing how to performance tune the JVM to better run Apache Tomcat. In the first article, we discussed the basic basic goals and how to monitor the performance of your JVM.
If you have not read the first article, I would strongly suggest reading that before continuing with this article. It is important to understand and follow the processes outlined in that article when performance tuning. They will both save you time and prevent you getting into trouble. With that, let's continue.
At this point we've covered the basics and are ready to begin examining the JVM options that are available to us. Please note that while these options can be used for any application running on the JVM, this article will focus sole only how they can be applied to Tomcat. The usage of these options for other applications may or may not be appropriate.
Note: For simplicity, it is assumed that you are running an Oracle Hotspot JVM.
Have you ever seen this scenario before? A user has deployed an application to a Tomcat server. The application works great during testing and QA; however, when the user moves the application into production, the load increases and Tomcat stops handling requests. At first this happens occasionally and for only 5 or 10 seconds per occurrence. It's such a small issue, the user might not even notice or, if noticed, may choose to just ignore the problem. After all, it's only 5 or 10 seconds and it's not happening very often. Unfortunately for the user, as the application continues to run the problem continues to occur and with a greater frequency; possibly until the Tomcat server just stops responding to requests all together.
There is a good chance that at some point in your career, you or someone you know has faced this issue. While there are multiple possible causes to this problem like blocked threads, too much load on the server, or even application specific problems, the one cause of this problem that I see over and over is excessive garbage collection.
As an application runs it creates objects. As it continues to run, many of these objects are no longer needed. In Java, the unused objects remain in memory until a garbage collection occurs and frees up the memory used by the objects. In most cases, these garbage collections run very quickly, but occasionally the garbage collector will need to run a “full” collection. When a full collection is run, not only does it take a considerable amount of time, but the entire JVM has to be paused while the collector runs. It is this “stop-the-world” behavior that causes Tomcat to fail to respond to a request.
Fortunately, there are some strategies which can be employed to mitigate the affects of garbage collections; but first, a quick discussion about performance tuning.
Valves have been an integral feature of Apache Tomcat since version 4 was introduced over seven years ago. As their name suggests, valves provide a way of inserting functionality within a pipeline, in this case, the Tomcat request / response stream. One simply writes a subclass of org.apache.catalina.valves.ValveBase or a class that implements the org.apache.catalina.valves.Valve interface and then adds an XML element with the valve’s classname to the appropriate configuration file (in most classes as a sub element of Engine in server.xml). Then, at some point (we’ll come back to that) in the processing of a request, your valve’s invoke method will be called. The invoke method gets passed both the Request and the Response objects, and is free to do whatever it likes with them (though having the power doesn’t mean it’s a good idea to use it).
You may be familiar with this paradigm through servlet filters used by web applications to do application-specific processing of the request / response pipeline. The key distinction between servlet filters and Tomcat Valves is that Valves are applied and controlled through the configuration of the application server. Depending on the container definition where the Valve element appears in the Tomcat configuration, the valve could be configured for all applications on the application server, a subset of applications, or even a single application (by locating the Valve element within a given Context).
This is a simple powerful model that has been written about extensively. A Google search on “tomcat valve” turns up a multitude of descriptions, examples, and “how tos”. The Reference Page on “The Valve Component” that ships with Apache Tomcat 7 documents the mechanism thoroughly along with descriptions of the valve implementations that ship by default. So why yet another article on the subject? What do I hope to add to the canon?
The effort started simply enough: The plan was to demonstrate the configuration and use of the ThreadDiagnosticsValve that ships with VMware’s vFabric tc Server, a commercial application server based on Apache Tomcat. Additionally I would write and configure a custom Valve, in this case, a valve to exercise tc Server’s ThreadDiagnosticsValve so that I could demonstrate its use and effects without actually having to have a misbehaving application to trigger it. Not exactly Nobel material, but I thought it would be a useful adjunct to the existing documentation and an interesting exercise.
However, it didn’t go exactly as planned and looking at the reason it didn’t is probably as helpful in understanding Tomcat Valves as the original exercise.
Every effort is made to have each version of Apache Tomcat to ship with a system of reasonable defaults forsecurity purposes. This means that the standard defaults for the security settings are reasonably secure—it is not as secure as it could be, but not horribly insecure either. The default security level is essentially a compromise between security and usability. It is probably OK for simple use in production, but there are a number of things that all users should consider before deploying business applications on a standard installation of Apache Tomcat.
General precautions:
The Servlet 3 specification - implemented in Apache Tomcat 7 - allows web.xml fragments and annotations to be used to specify configuration information for a web application. This means that, instead of packaging up every configuration centrally in your web.xml file, every JAR can have its own xml fragment containing its own little bit of configuration for whatever classes are in that JAR. This makes it easy to add support for packages with very little effort. For instance, a Spring developer would no longer need to add the Spring application context to the web.xml file, rather they could take advantage of a web fragment in the Spring JAR that would automatically add this configuration information at runtime.
Annotations take this one step further, and allow developers to annotate code that dynamically configures application components such as Servlets and Filters. Java libraries and frameworks have been embracing annotations for some time. In fact, several IDE’s these days use annotations as a default, adding the @WebServlet annotation by default when you create a new Servlet in a dynamic web project.
Both annotations and web fragments will impact performance, particularly at application startup. Tomcat has to scan every class in every single jar file to detect if the class has been annotated as a Servlet, a Filter or Listener. This can add substantial time to application start up, which is not so much of a problem for production applications as they should start very infrequently, but it can be pretty problematic during development when you are repetitively restarting.
Tip: If you are not going to be using annotations or web-fragments, you should set your metadata-complete to true in your web.xml file to avoid the longer start up time. (web-app metadata-complete=""true"").
As a VMware engineer dedicated to building Apache Tomcat and vFabric tc Server , I get the opportunity to see a lot of issues across the official Apache Tomcat public mailing lists, as well as VMware’s private professional support queue for both Apache Tomcat and tc Server. Typical of any software issue tracker, many of the issues logged could be avoided with a little better understanding of the Tomcat applications. Here are a few tips that may be useful to keep in mind:
There are two different types of context.xml files: one is global, and the other is specific to each web application. The problem with editing the global context.xml file is, as its name implies, that it affects every web application running on that Tomcat instance. So for instance, if you have 10 web applications, and create a new JNDI datasource with 50 connections to the database in the global context.xml file, you have essentially created 10 JNDI datasources with a total of 500 connections to your database and have likely completely overwhelmed your database. If you want to add a datasource to a single application, by remembering to create the datasource in the application level context.xml file, you can avoid serious performance problems.
Occasionally companies will deploy 3 or 4 related applications on a Tomcat server that are designed to share a single datasource. As described above, placing the datasource definition either once in the global context.xml file or in 3 or 4 application specific context.xml files will always create multiple instances of that datasource. To truly share a single datasource, it is necessary to put the definition of the datasource into the server.xml file, and then place a single resource link into the global context.xml file. This link ensures only one instance of the datasource is ever created and when any application goes to use it, it always uses the same single instance.
Popular Links