Download JAR files tagged by reuse with all dependencies

A framework for processing and analyzing data in a database, spreadsheet or other data source. AnalyzerBeans is widely based on a simple annotation-based development model where plugin/component development is very easy while it still supports reuse of business logic, configurability, type-safety and super-fast execution.

InteGraal has been designed in a modular way, in order to facilitate software reuse and extension. It should make it easy to test new scenarios and techniques, in particular by combining algorithms. The main features of Graal are currently the following: (1) internal storage to store data by using a SQL or RDF representation (Postgres, MySQL, HSQL, SQLite, Remote SPARQL endpoints, Local in-memory triplestores) as well as a native in-memory representation (2) data-integration capabilities for exploiting federated heterogeneous data-sources through mappings able to target systems such as SQL, RDF, and black-box (e.g. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)

InteGraal has been designed in a modular way, in order to facilitate software reuse and extension. It should make it easy to test new scenarios and techniques, in particular by combining algorithms. The main features of Graal are currently the following: (1) internal storage to store data by using a SQL or RDF representation (Postgres, MySQL, HSQL, SQLite, Remote SPARQL endpoints, Local in-memory triplestores) as well as a native in-memory representation (2) data-integration capabilities for exploiting federated heterogeneous data-sources through mappings able to target systems such as SQL, RDF, and black-box (e.g. Web-APIs) (3) algorithms for query-answering over heterogeneous and federated data based on query rewriting and/or forward chaining (or chase)

This module was created to fix issue DIRSHARED-91 where the embedded Felix instance inside the default LdapCodecService implementation was making it very problematic to deploy the ldap-codec inside an RCP (OSGi) environment and hence Apache Directory Studio could not use it. This module is most likely temporary and will disappear once we are fully OSGi enabled. This module is a plain old jar, not a bundle to avoid accidental reuse as an OSGi module because it contains the version of the LdapCodecService that embeds Felix to make controls and extended ops pluggable in the codec.

The Spark Universal Migrator is a data migration Spark application that fetches data from an Oracle database and stores it in a Hive database. It utilizes JDBC to connect to Oracle, processes and converts the data into a Hive-compatible schema, and then transfers it to Hive. The migration process employs iterators to generate queries for data retrieval and utilizes a BlockingQueue in conjunction with a ThreadPoolExecutor for parallel processing of data. Additionally, the application incorporates an Oracle connection pool to efficiently manage and reuse database connections, further optimizing performance and resource utilization during the migration process.

This plugin provides a registered action, toolbar button and menu actions which can clear the REUSE flag <b>preventing a file from being replaced</b>. <br/><br/> The toolbar button, which looks like a "push pin", provides a visual indication that the currently active editor is REUSEable; the button is only enabled when the active editor is REUSEable. <br/><br/> In some situations the IDE/platform opens a file with the REUSE flag (see NetBeans API doc Line.ShowOpenType); files opened like this can be automatically replaced in an editor window by other files. <br/><br/> IDE REUSE examples: single stepping into a file, clicking on a stacktrace for goto source, jVi tag-stack operations.