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Auflistung nach Schlagwort "Database evolution"

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  • Konferenzbeitrag
    InVerDa – The Liquid Database
    (Datenbanksysteme für Business, Technologie und Web (BTW 2017), 2017) Herrmann, Kai; Voigt, Hannes; Seyschab, Thorsten; Lehner, Wolfgang
    Multiple applications, which share one common database, will evolve over time by their very nature. Often, former versions need to stay available, so database developers find themselves maintaining co-existing schema versions of multiple applications in multiple versions—usually with handwritten delta code—which is highly error-prone and explains significant costs in software projects. We showcase I V D , a tool using the richer semantics of a bidirectional database evolution language to generate all the delta code automatically, easily providing co-existing schema versions within one database. I V D automatically decides on an optimized physical database schema serving all schema versions to transparently optimize the performance for the current workload.