[ https://issues.apache.org/jira/browse/LUCENE-1336?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jason Rutherglen updated LUCENE-1336: ------------------------------------- Attachment: lucene-1336.patch lucene-1336.patch Depends on commons-io-1.3.2.jar, hadoop-0.17.1-core.jar Note about the class loading. Core classes from Lucene are excluded from dynamic loading as they are assumed to exist on the server. These are defined in LuceneClasses. Test requires executing TestRMIServer before TestRMIClient Test case creates Query subclass that returns a random string from Query.toString(String field). A TestService.search(Query) method is called on TestRMIServer which returns the random string to the client. A second Query subclass of the same name as the first is compiled with a different random string. The same call is made and the returned strings are different. This means the method call worked and the new Query subclass was dynamically loaded. Todo: Add test case using Searchable, create IndexWriterService, improve remote exception handling. > Distributed Lucene using Hadoop RPC based RMI with dynamic classloading > ----------------------------------------------------------------------- > > Key: LUCENE-1336 > URL: https://issues.apache.org/jira/browse/LUCENE-1336 > Project: Lucene - Java > Issue Type: New Feature > Components: contrib/* > Affects Versions: 2.3.1 > Reporter: Jason Rutherglen > Priority: Minor > Attachments: lucene-1336.patch > > > Hadoop RPC based RMI system for use with Lucene Searchable. Keeps the > application logic on the client side with removing the need to deploy > application logic to the Lucene servers. Removes the need to provision new > code to potentially hundreds of servers for every application logic change. > The use case is any deployment requiring Lucene on many servers. This system > provides the added advantage of allowing custom Query and Filter classes (or > other classes) to be defined on for example a development machine and > executed on the server without deploying the custom classes to the servers > first. This can save a lot of time and effort in provisioning, restarting > processes. In the future this patch will include an IndexWriterService > interface which will enable document indexing. This will allow subclasses of > Analyzer to be dynamically loaded onto a server as documents are added by the > client. > Hadoop RPC is more scalable than Sun's RMI implementation because it uses non > blocking sockets. Hadoop RPC is also far easier to understand and customize > if needed as it is embodied in 2 main class files > org.apache.hadoop.ipc.Client and org.apache.hadoop.ipc.Server. > Features include automatic dynamic classloading. The dynamic classloading > enables newly compiled client classes inheriting core objects such as Query > or Filter to be used to query the server without first deploying the code to > the server. > Using RMI dynamic classloading is not used in practice because it is hard to > setup, requiring placing the new code in jar files on a web server on the > client. Then requires custom system properties to be setup as well as Java > security manager configuration. > The dynamic classloading in Hadoop RMI for Lucene uses RMI to load the > classes. Custom serialization and deserialization manages the classes and > the class versions on the server and client side. New class files are > automatically detected and loaded using ClassLoader.getResourceAsStream and > so this system does not require creating a JAR file. The use of the same > networking system used for the remote method invocation is used for the > loading classes over the network. This removes the necessity of a separate > web server dedicated to the task and makes deployment a few lines of code. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online. --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]