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        <datestamp>2026-06-23T12:04:12Z</datestamp>
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          <dc:title>Database Theory in Action: Evaluation of Aggregate Queries Without Materialisation</dc:title>
          <dc:creator>Lanzinger, Matthias</dc:creator>
          <dc:creator>Pichler, Reinhard</dc:creator>
          <dc:creator>Selzer, Alexander</dc:creator>
          <dc:subject>Join Processing</dc:subject>
          <dc:subject>Aggregate Queries</dc:subject>
          <dc:subject>Acyclic Conjunctive Queries</dc:subject>
          <dc:description>Aggregate queries often require computing large intermediate joins despite producing only small outputs. We identify broad classes of acyclic aggregate queries that can be evaluated without materialising any join results, using a bottom-up, semi-join–based propagation of cardinalities and partial aggregates. An implementation in Spark SQL shows that this approach is widely applicable and yields substantial performance gains on standard benchmarks.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Matthias Lanzinger and Reinhard Pichler and Alexander Selzer</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 365, 29th International Conference on Database Theory (ICDT 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICDT.2026.24</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-256380</dc:identifier>
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