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  1. The second phase imple-ments this logical plan by assigning tiles to cluster nodes using an analytical cost model. Our experimental results, on both synthetic and real-world data, …

  2. Hence, typical plan nodes (i.e. operators in a plan) materialize the set of logical orderings that can be inferred from a given physical input order (see [6]). Then, whenever an operator is applied …

  3. We augment annotations of tree nodes to include metrics about goal (and, where relevant, plan) satisfaction. In the simplest case, this comprises annotating each goal node with values from …

  4. DuckDB Components - Physical Planner The physical planner takes the optimized logical plan and transforms it into the physical plan, selecting suitable implementations where applicable. …

  5. Logical plan Nodes are logical operators (often relational algebra operators) There are many equivalent logical plans

  6. This chapter describes the main accounts of deductive competence, which explain what is computed in carrying out deductions. It argues that people have a modicum of competence, …

  7. We adopt the O-T-P encoding approach in this work by first casting a query into its logical plan, before re-casting into a binary tree comprising only of O/T/P nodes.