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ORC is a self-describing type-aware columnar file format designed for Hadoop workloads. It is optimized for large streaming reads, but with integrated support for finding required rows quickly. Storing data in a columnar format lets the reader read, decompress, and process only the values that are required for the current query.

The top level API module for NoSQLBench. This module should have no internal module dependencies other than the mvn-default module. All modules within NoSQLBench can safely depend on this module with circular dependencies. This module provides cross-cutting code infrastracture, such as path utilities and ways of describing services used between modules. It is also the transitive aggregation point for system-wide library dependencies for logging and testing or similar needs.

ORC is a self-describing type-aware columnar file format designed for Hadoop workloads. It is optimized for large streaming reads, but with integrated support for finding required rows quickly. Storing data in a columnar format lets the reader read, decompress, and process only the values that are required for the current query.

JSLint takes a JavaScript source and scans it. If it finds a problem, it returns a message describing the problem and an approximate location within the source. The problem is not necessarily a syntax error, although it often is. JSLint looks at some style conventions as well as structural problems. It does not prove that your program is correct. It just provides another set of eyes to help spot problems.

StatSVN retrieves information from a Subversion repository and generates various tables and charts describing the project development, e.g. timeline for the lines of code, contribution of each developer etc. The current version of StatSVN generates a static suite of HTML documents containing tables and chart images. StatSVN is open source software, released under the terms of the LGPL, based on StatCVS. StatSVN uses JFreeChart to generate charts.

It helps to quickly make settings for class and its fields of with properties XML. Instead of create a lot of files to describe every class and its fields it use describing by type, by name. E.g. setting "java.lang.Integer"-"INTEGER NOT NULL" will be assigned for every field of this type. Of course it can be overridden by settings for field name and so on. It is used by beige-web to describe how to render an entity and convert from HTML value. It is used by beige-orm to describe how to map an entity to a DBMS. It make simple settings - Map<String, String>, e.g. "title"-"Beige ORM 1.1", class settings Map<String, Map<String, String>>, e.g. "org.model.Customer"-["defaultOrder"-"ITSNAME", "wdgFilterOrder"-"filterOrderStd"], fields settings Map<String, Map<String, Map<String, String>>>, e.g. "org.model.Customer"-["itsId"["wdgNew"-"null", "wdgFilter"-"filterNumber"]]

It helps to quickly make settings for class and its fields of with properties XML. Instead of create a lot of files to describe every class and its fields it use describing by type, by name. E.g. setting "java.lang.Integer"-"INTEGER NOT NULL" will be assigned fo every field of this type. Of course it can be overriden by settings for field name and so on. It is used by beige-web to describe how to render an entity and convert from HTML value. It is used by beige-orm to describe how to map an entity to a DBMS. It make simple settings - Map<String, String>, e.g. "title"-"Beige ORM 1.1", class settings Map<String, Map<String, String>>, e.g. "org.mode.Customer"-["defaultOrder"-"ITSNAME", "wdgFilterOrder"-"filterOrderStd"], fields settings Map<String, Map<String, Map<String, String>>>, e.g. "org.mode.Customer"-["itsId"["wdgNew"-"null", "wdgFilter"-"filterNumber"]]