How can I deploy data grid application? - ignite

I am developing web application based in Spring. I added Apache ignite in maven dependency.
It is very simple application, which is only 2 rest api.
One is querying by key, which return object. another is put data.
But I have a problem: when I develop additional implementation, I don't know how I can deploy this application.
The application always should be available. but I deploy it to one node, then the node may not available.
Is there good method for distributed memory application deploy?

In your case you will typically start an Ignite server node embedded in your application. You can then start multiple instances of application, and as long as nodes discover each other, they will share the data. For more information about discovery configuration see here: https://apacheignite.readme.io/docs/cluster-config

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Integration tests with Cucumber using embedded GemFire for a Spring Boot application deployed in an Apache Geode client/server topology

I intend to write integration tests with Cucumber for a GemFire cache client application using Spring Boot and deployed in an Apache Geode client/server topology. I referred to the question - How to start Spring Boot app without depending on Pivotal GemFire cache which was answered in 2018 and also referred to the integration test documentation here - Integration Testing with STDG.
The link to an example concrete client/server Integration Test extending STDG’s ForkingClientServerIntegrationTestsSupprt class appears to be broken.
The purpose of my integration tests would be to:
run an embedded locator and a server during the integration test phase
define the regions for the servers using cluster.xml
create, read, update and delete cache entries and verify the different use cases
Any help regarding the ideal approach to write integration tests (probably using an embedded GemFire locator and server) will be very helpful.
Tried an embedded GemFire CacheServer instance for integration tests using #CacheServerApplication annotation but not sure on how to create ClientCache objects to use the embedded GemFire or whether this is the right way to write the integration tests.
Edit: Also came across this - Is it possible to start a PIvotal GemFire Server, Locator and Client in one JVM? where it is mentioned as - In short, NO, you cannot have a peer Cache instance (with embedded Locator) and a ClientCache instance in the same JVM (or Java application process).
DISCLAIMER: I do not have experience with Apache Cucumber...
However, it is not difficult to spin up multiple GemFire or Geode server-side processes, such as 1 or more Locator and [multiple] CacheServers in a single test class. The Locators can be standalone JVM processes or embedded, as part of the servers.
In this typical test configuration arrangement the GemFire or Geode server-side processes are forked, yet coordinated, and the test class itself acts as the ClientCache instance.
You can see 1 such test configuration in the SBDG Multi-site Caching sample, here.
The key to this test configuration is the extension of the ForkingClientServerIntegrationTests class from STDG, as well as the forking of the 2 clusters (and specifically), in the test class setup method.
The configuration for each cluster is handled by Spring config and the coordination is all handled using GemFire/Geode properties (specifically) combined with some Spring Profiles (for example, then see here) to control which configuration gets applied for each GemFire/Geode JVM process.
Of course, this example and test configuration is quite complex given the fact that the test also employs GemFire/Geode's WAN capabilities, hence the "multi-site" caching reference, but serves to demonstrate that Spring and SBDG/SDG/STDG supports as complex or as simple of a setup as your testing needs require.
You can start any number of GemFire/Geode processes (Locators, CacheServers, etc). And, in nearly all cases, the test class (JVM) itself is the cache client (ClientCache instance).
Here are a couple more examples from the Spring Data for Apache Geode (SDG) codebase and test suite: here and here.
I am certain I have another test class or example (somewhere) that for a single Locator, then joined 2 CacheServer instances, and then the test (JVM process) proceeded as ClientCache instance, but I cannot seem to find it at the moment.
In any case, I hope this gives you some ideas.

When to use Vert.x cluster

I have a java (gradle) project with multiple modules. All of the modules run on the same server but I want them to be independent, i.e. module A should be started and stopped no matter if module B is running or stopped and vice versa.
Each module is a vert.x verticle and the modules should be able to communicate with each other.
I read that if the verticles run on the same machine, it's not a good practice to create a clustered vertx instance, but if I don't cluster them, then I got different instances and therefore different eventbusses.
What would you recommend?
(1) Cluster the verticles on the same machine
(2) let the verticles communicate via a router (is this a bad practice?)
(3) Restructure the project in some way
You can deploy verticles to get a deployment id and also undeploy them using the same id. That means they are already independent.
The simplest way would be to have them running in the same process communicating via the event bus.
Options 1 & 2 that you listed would introduce unnecessary latency and make your application perform worse.

Is it ok to use http requests within the same web application

I'm designing a software system which has some C++ projects and java web applications hosted on Apache/Tomcat. Native code[C++ outputs] will connect to other systems[DB, External Gateways, etc] through web apps as HTTP requests. In order to make a good distributed/modular system, I'm planning to use several [5 to 10] web applications.
But still my system is not finished its developments, but function enough to sell. But even still 20% of its full features, I have to go through a huge deployment procedure since it has much of web apps.
My question is,
Is it good to merge few web apps TEMPORARILY to reduce deployment overhead[I can do this till I get a significant larger source for each] and do http requests within that same web application?
Will it be cause any performance/memory/threading issue?
if you are merging two or three web components and want to deploy an single jvm
than you should not use http request between web components,
for this you can use jboss osgi http://www.jboss.org/jbossas/subprojects/osgienter link description here
The solution I found was to use a hosted JVM, which is an application on either a Servlet container or in a web service.
This way, a single JVM is re-used.
But the problem here is that, you need a communication mechanism between two applications, which I prefer of using TCP sockets.

how to handle configuration for accept and production environment in glassfish

I want to create an application that is not aware of the environment it runs in.
The environment specific configuration I want to leave up to the configuration of glassfish.
So eg I have a persistence.xml which 'points' to a jta data source
<jta-data-source>jdbc/DB_PRODUCTSUPPLIER</jta-data-source>
In glassfish this datasource is configured to 'point' to a connection pool.
This connection pool is configured to connect to a database.
I would like to have a mechanism such that I can define these resources for a production and an accept environment without having to change the jndi name. Because this would mean that my application is environment aware.
Do I need to create two domains for this? Or do I need two completely separate glassfish installations?
One way to do this is to use clustering features (GF 2.1 default install is often developer mode, so you'll have to enable clustering, GF 3.1 clustering seems to be on by default).
As part of clustering, you can create stand alone instances that do not participate in a cluster. Each instance can have its own config. These instances share everything under the Resources section, and each instance can have separate values in the system properties, most importantly these are separate port numbers.
So a usage scenario would be that your accept/beta environment will run on it's own instance with different ports (defaults being 38080, 38181, etc., assuming you're doing an http app). When running this way, your new instance will be running in a separate JVM. With GF 2.1, you need to learn how to manage the node agent. With GF 3.1, you won't have to worry about that.
When you deploy an application, you must choose the destination, called a Target, so you can have an accept/beta version on one instance, and a production version on the other instance.
This is how I run beta deployments with our current GF 2.1 non-clustered setup and it works pretty well.

WebSphere Application Server EJB Optimization

We are working on developing a Java EE based application. Our application is Java 1.5 compatible and will be deployed to WAS ND 6.1.0.21 with EBJ 3.0 and Web Services feature packs. The configuration is currently one cell with two clusters. Each cluster will have two nodes.
Our application, or our system, as I should rather say, comes in two or three parts.
Part 1: An ear deployed to one cluster that contains 3rd party vendor code combined with customization code. Their code is EJB 2.0 compliant and has a lot of Remote Home interfaces.
Part 2: An ear deployed to the same cluster as the first ear. This ear contains EBJ 3's that make calls into the EJB 2's supplied by the vendor and the custom code. These EJB 3's are used by the JSF UI also packaged with the EAR, and some of them are also exposed as web services (JAX-WS 2.0 with SOAP 1.2 compliance) for other clients.
Part 3: There may be other services that do not depend on our vendor/custom code app. These services will be EJB 3.0's and web services that are deployed to the other cluster.
Per a recommendation from some IBM staff on site here, communication between nodes in a cluster can be EJB RMI. But if we are going across clusters and/or other cells, then the communication should be web services.
That said, some of us are wondering about performance and optimizing communication for speed of our applications that will use our web services and EJB's. Right now most EJB's are exposed as remote. (and our vendor set theirs up that way, rather than also exposing local home interfaces). We are wondering if WAS does any optimizations between apps in the same node/cluster node space. If two apps are installed in the same area and they call each other via remote home interface, is WAS smart enough to make it a local home interface call?
Are their other optimization techniques? Should we consider them? Should we not? What are the costs/benefits? Here is the question from one of our team members as sent in their email:
The question is: Supposing we develop our EJBs as remote EJBs, where our UI controller code is talking to our EXT java services via EJB3...what are our options for performance optimization when both the EJB server and client are running in the same container?
As one point of reference, google has given me some oooooold websphere performance tuning documentation from 2000 that explains a tuning configuration you can set to enable Call By Reference for EJB communication when they're in the same application server JVM. It states the following:
Because EJBs are inherently location independent, they use a remote programming
model. Method parameters and return values are serialized over RMI-IIOP and returned
by value. This is the intrinsic RMI "Call By Value" model.
WebSphere provides the "No Local Copies" performance optimization for running EJBs
and clients (typically servlets) in the same application server JVM. The "No Local
Copies" option uses "Call By Reference" and does not create local proxies for called
objects when both the client and the remote object are in the same process. Depending
on your workload, this can result in a significant overhead savings.
Configure "No Local Copies" by adding the following two command line parameters to
the application server JVM:
* -Djavax.rmi.CORBA.UtilClass=com.ibm.CORBA.iiop.Util
* -Dcom.ibm.CORBA.iiop.noLocalCopies=true
CAUTION: The "No Local Copies" configuration option improves performance by
changing "Call By Value" to "Call By Reference" for clients and EJBs in the same JVM.
One side effect of this is that the Java object derived (non-primitive) method parameters
can actually be changed by the called enterprise bean. Consider Figure 16a:
Also, we will also be using Process Server 6.2 and WESB 6.2 as well in the future. Any ideas? recommendations?
Thanks
The only automatic optimization that can really be done for remote EJBs is if they are colocated (accessed from within the same JVM). In that case, the ORB will short-circuit some of the work that would otherwise be required if the request needed to go across the wire. There will still be some necessary ORB overhead including object serialization (unless you turn on noLocalCopies, with all the caveats it brings).
Alternatively, if you know that the UI controller is colocated, your method calls do not rely on parameter or return value copying, and your interface does not rely on the exception differences between local and remote views, then you could create and expose a local subinterface that will be much faster than remote access through the ORB.