XUI: XuiWikka: "XUI (pronounced Zoo'ey) is an Open Source, Rich Internet Application (RIA) framework for building applications in Java and XML. XUI supports Swing, AWT, SWT and HTML widget sets, letting you code in XML or Java or a mix of both. XUI used the well Model-View-Controller pattern to help separate the setup of user interfaces from business logic and data handling. The framework has been developed by Xoetrope∞, who also host the XUI Zone∞ where you will find more extensive documenation.
Welcome to the XUI Wikki. This Wiki is dedicated to all things XUI, and includes documentation of features, hints, tips and anything that might be of interest to users and developers of XUI applications."
Friday, December 29, 2006
Thursday, December 28, 2006
Tuesday, December 26, 2006
The Hadoop Distributed File System: Architecture and Design
The Hadoop Distributed File System: Architecture and Design: "# Introduction
# Assumptions and Goals
* Hardware Failure
* Streaming Data Access
* Large Data Sets
* Simple Coherency Model
* Moving computation is cheaper than moving data
* Portability across Heterogeneous Hardware and Software Platforms
# Namenode and Datanode
# The File System Namespace
# Data Replication
* Replica Placement . The First Baby Steps
* Replica Selection
* SafeMode
# The Persistence of File System Metadata
# The Communication Protocol
# Robustness
* Data Disk Failure, Heartbeats and Re-Replication
* Cluster Rebalancing
* Data Correctness
* Metadata Disk Failure
* Snapshots
# Data Organization
* Data Blocks
* Staging
* Pipelining
# Accessibility
* DFSShell
* DFSAdmin
* Browser Interface
# Space Reclamation
* File Deletes and Undelete
* Decrease Replication Factor
# References"
# Assumptions and Goals
* Hardware Failure
* Streaming Data Access
* Large Data Sets
* Simple Coherency Model
* Moving computation is cheaper than moving data
* Portability across Heterogeneous Hardware and Software Platforms
# Namenode and Datanode
# The File System Namespace
# Data Replication
* Replica Placement . The First Baby Steps
* Replica Selection
* SafeMode
# The Persistence of File System Metadata
# The Communication Protocol
# Robustness
* Data Disk Failure, Heartbeats and Re-Replication
* Cluster Rebalancing
* Data Correctness
* Metadata Disk Failure
* Snapshots
# Data Organization
* Data Blocks
* Staging
* Pipelining
# Accessibility
* DFSShell
* DFSAdmin
* Browser Interface
# Space Reclamation
* File Deletes and Undelete
* Decrease Replication Factor
# References"
Monday, December 11, 2006
Wednesday, December 06, 2006
FrontPage - Lucene-hadoop Wiki
FrontPage - Lucene-hadoop Wiki: "Hadoop DFS
Hadoop's Distributed File System is designed to reliably store very large files across machines in a large cluster. It is inspired by the [WWW] Google File System. Hadoop DFS stores each file as a sequence of blocks, all blocks in a file except the last block are the same size. Blocks belonging to a file are replicated for fault tolerance. The block size and replication factor are configurable per file. Files in HDFS are 'write once' and have strictly one writer at any time."
Hadoop's Distributed File System is designed to reliably store very large files across machines in a large cluster. It is inspired by the [WWW] Google File System. Hadoop DFS stores each file as a sequence of blocks, all blocks in a file except the last block are the same size. Blocks belonging to a file are replicated for fault tolerance. The block size and replication factor are configurable per file. Files in HDFS are 'write once' and have strictly one writer at any time."
Monday, December 04, 2006
DBSight: Full-text database search platform/engine
DBSight: Full-text database search platform/engine: "Instead of weeks or even months to develop a full-text search for your data, if you know how to use DBSight, you can easily create the full-text search literally in minutes.
Feature-rich
Besides Google-like full-text search, you can have:
* Adjust Ranking by combination of relevance and fields like product price, score, comments cout, etc
* Summarized and highlighted results
* Amazon-like Results counted for each category, and sub-category
* Order results by the field you choose
* Recent searches history
* RSS feed for latest match
* Spelling check
* Pagination of the results
* Automatic results clustering
* Multi-Server mode for Server Clustering"
Feature-rich
Besides Google-like full-text search, you can have:
* Adjust Ranking by combination of relevance and fields like product price, score, comments cout, etc
* Summarized and highlighted results
* Amazon-like Results counted for each category, and sub-category
* Order results by the field you choose
* Recent searches history
* RSS feed for latest match
* Spelling check
* Pagination of the results
* Automatic results clustering
* Multi-Server mode for Server Clustering"
dbclient: DBClient, yet another Jdbc client tool
dbclient: DBClient, yet another Jdbc client tool: "DBClient is a new Open Source Tool for connecting to jdbc compliant relational databases.
Specific extensions will take care of each RDBMS implementation."
Specific extensions will take care of each RDBMS implementation."
JDOInstruments -java object database- oodb -oodbms
JDOInstruments -java object database- oodb -oodbms: "# Byte-Code Enhancement of classes
# Byte-Code Compatibility
# Datastore identity
# Optimistic Transaction
# Nontransactional Read
# Retain values
# Restore values
# Second Class PersistenceCapable objects
# J2EE Integration
# Query (JDOQL)
# Index
# Schema Evolution"
# Byte-Code Compatibility
# Datastore identity
# Optimistic Transaction
# Nontransactional Read
# Retain values
# Restore values
# Second Class PersistenceCapable objects
# J2EE Integration
# Query (JDOQL)
# Index
# Schema Evolution"
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