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Query Abstraction Layer
From Wikipedia, the free encyclopedia
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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.
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Description
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]
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