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        <datestamp>2024-03-06T11:00:25Z</datestamp>
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          <dc:title>Conjunctive Queries with Free Access Patterns Under Updates</dc:title>
          <dc:creator>Kara, Ahmet</dc:creator>
          <dc:creator>Nikolic, Milos</dc:creator>
          <dc:creator>Olteanu, Dan</dc:creator>
          <dc:creator>Zhang, Haozhe</dc:creator>
          <dc:subject>fully dynamic algorithm</dc:subject>
          <dc:subject>enumeration delay</dc:subject>
          <dc:subject>complexity trade-off</dc:subject>
          <dc:subject>dichotomy</dc:subject>
          <dc:description>We study the problem of answering conjunctive queries with free access patterns under updates. A free access pattern is a partition of the free variables of the query into input and output. The query returns tuples over the output variables given a tuple of values over the input variables.&#13;
We introduce a fully dynamic evaluation approach for such queries. We also give a syntactic characterisation of those queries that admit constant time per single-tuple update and whose output tuples can be enumerated with constant delay given an input tuple. Finally, we chart the complexity trade-off between the preprocessing time, update time and enumeration delay for such queries. For a class of queries, our approach achieves optimal, albeit non-constant, update time and delay. Their optimality is predicated on the Online Matrix-Vector Multiplication conjecture. Our results recover prior work on the dynamic evaluation of conjunctive queries without access patterns.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Ahmet Kara and Milos Nikolic and Dan Olteanu and Haozhe Zhang</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 255, 26th International Conference on Database Theory (ICDT 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICDT.2023.17</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-177599</dc:identifier>
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          <dc:language>eng</dc:language>
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