Query Abstraction Layer
| Developer(s) | Nicklas Börjesson |
|---|---|
| Initial release | September 2013[1] |
| Stable release | 0.4.0[2]
/ October 31, 2014 |
| Written in | Python |
| Operating system | Cross-platform |
| Type | Python libraries |
| License | BSD license |
| Website | www |
QAL is an open-source development project that aims to create a collection of libraries for mixing, moving, merging, substituting and transforming data;[3] also in some cases, such as MongoDB, schemas.
Description[edit]
Sources and destinations include different database backends, file formats like .csv, XML and spreadsheets. Even untidy HTML web pages can be used as both a source and destination.
For SQL/RDBMS backends, it has a database abstraction layer that supports basic connectivity to Postgres, MySQL / MariaDB, IBM Db2, Oracle and MS SQL Server.[4] It uses XML formats (the SQL schema is self-generated) for representation of queries, transformation and merging, making it all processable by scripts.
With regards to SQL, QAL uses a subset of SQL features[5] and data types,[6] which while obviously not complete however is sufficient for most usages. It is however easy to instead use backend-specific SQL when the queries do not have to be backend-agnostic.
It is currently distributed as a Python Library (.egg)[7] and a Debian package file (.deb).[8]
It is related to the Optimal BPM (Business Process Management) project.[9] The Optimal BPM SourceForge project used to be DAL/QAL.[1]
References[edit]
This article incorporates http://sourceforge.net/projects/qal/ text available under the CC0 license.