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https://issues.apache.org/jira/browse/LUCENE-1336?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jason Rutherglen updated LUCENE-1336:
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Attachment: lucene-1336.patch
lucene-1336.patch
- HMAC based security authentication between client and server. This was
chosen as it is fairly simple to use and is more secure than username password.
Public/private keys signing, encryption can be used as well via the
RMISecurity interface. SSL may also be used at the socket layer, though that
would require work in the Hadoop RPC NIO socket code.
- LuceneMultiClient class that allows searching over multiple remote indexes
via a MultiSearcher. Class also manages obtaining the latest Searchables via
the registered IndexListener.
- Distributed events for new Searchables on a remote LuceneServer reopen.
LuceneClient always has the most up to date Searchable automatically. Added
IndexService.registerIndexListener method.
- Apache License headers
- IndexService.flushAndReopen method flushes indexes changes from the
IndexWriter, reopens, and returns the latest Searchable.
Future:
- Facet interface with default Term and Query implementations.
> 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, lucene-1336.patch, 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.
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