Free jdbc driver for sqlite 006 software for linux

The Castor project has been developed out of need: the need to get stuff done and the need to write useful code.
It has been designed and coded over many cups of Dunkin Donuts Hazlenut coffee, Starbucks Latte, and tall no-whip White Mochas, as proof that coffee beans do come in handy.
Castor includes software, such as Xerces, Jakarta ORO, and Jakarta Regexp, developed by the Apache Software Foundation. Castor also includes JUnit testing framework
Main features:
- Castor XML: Java object model to and from XML (XML databinding)
- Generate source code from an XML Schema
- Default introspection or mapping file for existing object models
- Castor JDO: Java object persistence to RDBMS Castor JDO is not the same-as or compatible with Suns JDO. We have a different approach to handling data object to RDBMS mappings.
- XML-based mapping file to specify bindings for existing object models
- Support for schema-less Java to XML binding
- In memory caching and write-at-commit reduces JDBC operations
- Two phase commit transactions, object rollback and deadlock detection
- OQL query mapping to SQL queries
- EJB container managed persistence provider for OpenEJB
- Ability to create base mapping from existing Java classes
- Ability to create an XML Schema from an XML input document
Enhancements:
- Fixed problem with TransactionContext.getObjectEntry(Object) that was introduced as a result of adding support for lazy loading 1:1 relations.
- Added F.A.Q. entry describing compatibility problems between various releases of mySQL 4.1.x and its JDBC drivers.
- Reverted various DOCTYPE definitions in src/tests/jdo to use DTDs.
- Fixed issue with GeneralizedFieldHandler not able to handle collections. Collections are now automatically iterated over during getValue() calls and each item in the collection is passed into the convertUponGet method. To retain the old behavior simply add a call to #setCollectionIteration with a value of false in the constructor of your GeneralizedFieldHandler. The behavior for setter methods is not changed since only one item at a time is passed into the setter already.
- Fixed whitespace processing bug, where a was actually getting appended to the end of a string value if the parser was calling the #characters method again with only whitespace following a previous call to #characters method where valid content existed.
- Fixed recent issue where ElementDecl#getType() method was always returning null for element references.

Panther is a lightweight, modular Java application server, suitable for embedding in a web server.
The intention of the project is not to duplicate all the functionality found in a J2EE app server, rather just some of the most commonly used features (Note: panther was formerly known as Wicker).
1. Panther is not trying to be a full application server, rather it provides a limited subset of services that most app servers provide.
2. Most app servers seem to be huge monolithic behemoths where its all or nothing. If you want one service, then you pretty much need them all. Even where you can modify the configuration to only include the services you require, based upon our experience, many projects dont.
3. Many projects only use a microscopic subset of the features an app server provides. This is particularly true if you want to be cross-appserver/cross-platform, so a modular app server, where you include the bits you want, makes a lot of sense (at least to us). This is, of course, rather similar to the argument certain luminaries have used in the past against the feature bloat in Office software like Word.
4. There isnt another open source app server out there that does what we want (or that we could get working just the way we wanted).
Main features:
- A Stateless Session Bean container.
- Note 1: SSBs were not pooled prior to version 0.9.1, so there -was- a single instance of each EJB in the container. There didnt seem to be any overhead/negative impact doing things this way, except that the beans are truly/completely stateless -- if youre writing code with this is mind, then you shouldnt have any problems, but we recommend using the latest release anyway.
- Note 2: At time of writing only the ejbCreate method has been implemented in panther (the other ejb* methods are not currently called).
- deployment and configuration by Jython
- transaction manager -- linked to the data source service. This only works with JDBC data sources, and has only been tested with Postgres so far. (Note, transactions do not cross VM boundaries.)
- a basic messaging service (multicast, broadcast and lightweight reliable multicast options available)
- jdbc distributed caching service, codenamed c3d -- basically a jdbc driver that caches selects to reduce load on the database and to improve performance (slightly)
- a python-scripted (well, jython) telnet management console
- example mail and datasource (using Jakarta DBCP) python scripts are also included
Version restrictions:
- You cannot currently pass parameters to ejbCreate, or indeed include parameters in your home create methods.
- transaction support is currently extremely limited. The transaction manager is a basic service written to get us going -- "Required", "Supports" and "NotSupported" should (hopefully) work as advertised, anything else (i.e. "RequiresNew") may get unpredictable results. Were working on the transaction service at the moment.
Enhancements:
NOTES
- Fix a bunch of bugs I discovered this morning with the build process, demo, etc
CHANGES
- Reorganised the doc directory. Moved example files to doc/examples
- added jetty.sh, start.sh and stop.sh, to be used for running jetty5. Create a bin dir in $JETTY_HOME, put both files there (along with panther in the root of jetty home) and run start.sh to use.
- tidied up readme.txt
BUG FIXES
- added a Makefile for the simple demo. Fixed a bug with the ant build. Moved the jsp to a plain servlet
- distribution tars werent created with the correct directory (shouldve had a root panther dir).

Craftsman Spy is a an open source and free framework for JDBC logging. Craftsman Spy is a JDBC driver implementation.

This logger logs all SQL connection and processings with execution spent time, all the stored procedures with arguments, all the batch processings and the result sets.

No need to modify your application in order to integrate JDBC logging with Craftsman Spy. The application MUST use the craftsman.spy.SpyDriver and MUST be launched with the -Dspy.driver=... system property.

Be carefull this JDBC driver SHOULD not be used in production mode. Use it only in development or pre-production system.

,b>Usage:

Code

The two solutions can be used as the following examples :
System.setProperty("spy.driver","vendor.database.Driver");// or with the -Dspy.driver=vendor.database.Driver JVM option
Class.forName("craftsman.spy.SpyDriver");
Connection c = DriverManager.getConnection("jdbc:database:mydata");
Class.forName("craftsman.spy.SpyDriver");
Connection c = DriverManager.getConnection("jdbc:spy:vendor.database.Driver:database:mydata");

Log configuration

The log4j.properties or log4j.xml configuration file SHOULD contain the following lines :
log4j.category.craftsman.spy=DEBUG, SpyFile
log4j.appender.SpyFile=org.apache.log4j.DailyRollingFileAppender
log4j.appender.SpyFile.DatePattern=.yyyy.MM.dd
log4j.appender.SpyFile.File=spy.log
log4j.appender.SpyFile.layout=org.apache.log4j.PatternLayout
log4j.appender.SpyFile.layout.ConversionPattern=%m%n

Jaybird is JCA/JDBC driver suite to connect to Firebird database server. Historically Borland opened sources of type 3 JDBC driver called InterClient.

However due to some inherent limitations of Firebird client library it was decided that type 3 driver is a dead end, and Firebird team developed pure Java implementation of wire protocol.

This implementation became basis for JayBird, pure Java driver for Firebird relational database.

This driver is based on both the new JCA standard for application server connections to enterprise information systems and the well known JDBC standard.

The JCA standard specifies an architecture in which an application server can cooperate with a driver so that the application server manages transactions, security, and resource pooling, and the driver supplies only the connection functionality.

While similar to the JDBC 2 XADataSource idea, the JCA specification is considerably clearer on the division of responsibility between the application server and driver.

JayBird 1.5 provides extensions to some JDBC interfaces. All extension interfaces are released under modified BSD license, on “AS IS” basis, this should make linking to these classes safe from the legal point of view. All classes belong to org.firebirdsql.jdbc.* package.

JayBird 1.0 provided only pure Java wire protocol implementation. While being most effective in client-server setups (even more effective than native client libraries), it performed worser when connected to the server residing on the same host compared to native (C/C++/Delphi/etc) solutions. Reason is that type 4 driver communicates with the server using network sockets, which introduce additional overhead. Native client library has possibility to use IPC when connecting to the database on the same host. This might increase performance even by 100%.

JayBird 1.5 provides also type 2 JDBC driver that uses native client library to connect to the databases. Additionally JayBird 1.5 can use embedded version of Firebird relational database allowing to create Java applications that does not require separate server setup.

However type 2 driver has also limitations. Due to multi-threading issues in Firebird client library, it is not possible to access it from different threads simultaneously when running in local mode (IPC). In this case only one thread is allowed to access library at a time. Driver tries to provide needed synchronization.

Current implementation uses mutex that is local to the classloader that loaded JayBird classes. This poses some deployment limitations: firebirdsql.jar must be deployed so, that it is loaded by the system classloader. For standalone web containers like Resin or Tomcat, JayBird should usually be deployed in their lib/ directory. It is allowed to include it in the WAR archives, but if and only if it is guaranteed that only one application will access Firebird.

When accessing remote servers thread per connection policy applies. Driver provides necessary synchronization for this situation.

Embedded version of the server cannot be used on Linux systems in multi-threaded applications. In particular this makes embedded version of the server unusable for web applications, where usually each request is served in separate thread.

GCount is a graphical web counter and logging script. I developed GCount because I wanted a graphical web counter for a page I was working on. I wanted one that I had some control over, one that offered some flexibilty.
I wrote GCount from the ground up to be functional and quick. I hope that is what is has become.
Main features:
- 100% PHP
- Uses the super small and fast SQLite library
- Many different type faces to choose from
- Reporting available for each counter, know who visits your site!
- FAST! On my 700mhz machine it takes .02 seconds to make a counter
Enhancements:
- Added PDO support for people that have that. That includes SQLite and much requested MySQL. Technically any PDO driver should work but SQLite and MySQL are the only tested ones right now.
- Better debugging if something does go wrong
- Removed a duplicate counter thanks to Scott Stevensons good eye.

mod_dbi_pool is an Apache module which provides database connection pooling services for other Apache Modules.

Using libdbi it allows other modules to have a dynamic pool of database connections for many common SQL Servers, including mSQL, MySQL, PostgreSQL, Oracle and SQLite.

BasicQuery is a Java-based application used to access databases through JDBC. It features a Swing-based GUI and includes capabilities useful to developers when testing SQL statements against a database. BasicQuery also produces timing information, which is valuable during tuning exercises.

SQL Admin is a Java client application to connect and send queries to different databases through JDBC.
SQLAdmin uses the brand new SWT Toolkit. The main idea is to create a multiplatform and multidatabase thin client. For example, you can connect to an Microsoft SQL Server from a Linux machine, or connect to a PostgreSQL/Linux server from a Windows machine using the same application.
Main features:
- Based on the SWT Tookit. Java applications can use the native Toolkit with a platform independant API. For example, SQLAdmin uses GTK2 in Linux
- Lightweight : The application itself is small, and the SWT provides a nice gui with a very small footprint
- Abstract JDBC driver backend. User should configure only basic parameters like server, port, and login without the need to know about Class names or JDBC URLs
- Graphical view of connections and database metadata such as schemas, tables and fields
- Multiple query execution. Also supports embedded comments on SQL Text
- Log window to view system messages and query results
- Table structure view
- Fast table rows view