Download JAR files tagged by write with all dependencies

ATG DUST is a framework for building JUnit tests for applications built on the ATG Dynamo platform. This framework allows one to quickly write test code that depends up Nucleus or ATG Repositories. By using this framework one can drastically cut down on development time. It takes only a few seconds to start up a test with a repository, but it may take multiple minutes to start up an application server. To get started with DUST, take a look at http://atgdust.sourceforge.net/first-test.html. This page will walk you through the process of running a basic test which starts Nucleus. After that, read the other getting started guides to describe how to create standalone Junit tests which can startup repositories and use the DynamoHttpServletResponse classes. For only ATG10 and tested.

Spring JdbcTemplate did very convient and useful, but it also has some disadvantages or in another word “inconvenient”. For example, you can’t just pass an object and tell JdbcTemplate to turn it into a sql and save to database just like hibernate does. Alright, you may say “JdbcTemplate doesn’t need you to write hbm.xml , so it’s understandable”. But is it true that this thing is impossible to achieve? And also you know JdbcTemplate can auto turn the result of a query to a list of persistent object a.k.a PO, but when you want to do this you will meet a problem: “How to ?”.Because you can’t find any function of JdbcTemplate to pass a sql and a PO class as we expected. After you google for it, you’ve been told you can create a BeanPropertyRowMapper to deal with this. But isn’t it could be more easier? Based on those questions I create JdbcTemplateTool which can provide these features.

JSON (JavaScript Object Notation) is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language, Standard ECMA-262 3rd Edition - December 1999. JSON is a text format that is completely language independent but uses conventions that are familiar to programmers of the C-family of languages, including C, C++, C#, Java, JavaScript, Perl, Python, and many others. These properties make JSON an ideal data-interchange language.

The project provides an implementation of REPOSITORY PATTERN using HIBERNATE for data access. The goal of this project is to provide an EASY TO USE API that allows to write most of CRUD operations you need in development of end user applications in ONE LINE OF CODE even for developers who are unfamiliar with Hibernate. We provide a well tested set of CRUD operations which were assembled in more than 4 years of refactoring of projects of our clients. Instead of writing same code over and over again we encourage you to try this API on your own project and see how many lines of code YOU can replace with JUST ONE LINE.

An low latency, lock free, primitive bounded blocking queue backed by an int[]. This class mimics the interface of {@linkplain java.util.concurrent.BlockingQueue BlockingQueue}, however works with primitive ints rather than objects, so is unable to actually implement the BlockingQueue. This class takes advantage of the Unsafe.putOrderedObject, which allows us to create non-blocking code with guaranteed writes. These writes will not be re-orderd by instruction reordering. Under the covers it uses the faster store-store barrier, rather than the the slower store-load barrier, which is used when doing a volatile write. One of the trade off with this improved performance is we are limited to a single producer, single consumer.

The JSP TLD Maven Plugin is used to automate the management of JSP Tag Library Descriptors as part of a Maven build. It is intended to decrease the burden on JSP developers associated with writing custom JSP Tag Libraries. The goal is to encourage JSP developers to write better JSP files by using custom JSP Tag Libraries more extensively. The Plugin can process Java annotations on Tag implementation classes and also discover Tag Files (.tag and .tagx files). The Java 5 Annotations recognized by this Plugin are all part of the <a href="../squeakysand-jsp/apidocs/com/squeakysand/jsp/tagext/annotations/package-summary.html">com.squeakysand.jsp.tagext.annotations</a> package.

The project provides an implementation of REPOSITORY PATTERN using HIBERNATE for data access. The a goal of this project is to provide an EASY TO USE API that allows to write most of CRUD operations you will need in development of end user applications in ONE LINE OF CODE even for developers who are unfamiliar with Hibernate. We provide a well tested set of CRUD operations which were assembled in more than 4 years of refactoring of projects of our clients. Instead of writing same code over and over again we encourage you to try this API on your own project and see how many lines of code YOU can replace with JUST ONE LINE.

Skin Look And Feel allows Java developers to write skin-able application using the Swing toolkit. Skin Look And Feel is able to load themepacks (a bundle of GTK - The Gimp Toolkit - and KDE - The K Desktop Environment - skins) to enhance your application GUI controls such as Buttons, Checks, Radios, Scrollbars, Progress Bar, Lists, Tables, Internal Frames, Colors, Background Textures, Regular Windows. Skin Look And Feel (aka SkinLF) also includes NativeSkin to create irregular windows.

Advanced Library to Remove Object Relational Impedance. DBvolution translates all database concepts into Object Oriented concepts, allowing you to spend all your time writing Java rather than fixing broken and awkward SQL. DBvolution transforms your schema into classes, reduces the database configuration to sparse annotations on the classes, and allows querying directly from the classes. Queries are created inside your java code and takes as little as one line for a multi-table outer join. Retrieving the rows from the query is only one more method call. Dozens of SQL functions are available without leaving your Java code and use chaining to build complex expressions easily. Transactions are encapsulated into a thread-like API, allowing you to write complex database interactions in complete safety. The queries performed by DBvolution are always available for debugging and checking by DBAs before release. There are examples in nz.co.gregs.dbvolution.examples, and documentation at http://dbvolution.gregs.co.nz.

Sirix is a temporal storage system effectively and efficiently storing snapshots of time varying (currently semi-structured) data taking full advantage of flash based drives as for instance SSDs. We not only provide several ways of navigating the tree-structure of a single revision, we also support navigation in time. Furthermore we provide a novel storage technique called sliding snapshot to circumvent intermitant full dump snapshots to fast track their in-memory reconstruction and thus we avoiding write peaks and having to read long chains of page fragments/increments/deltas. Sirix uses copy-on-write (COW) as well as an append-only storage making it an ideal candidate for flash based drives while not dropping support for erstwhile disks.