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| CheckInput(OptimizeInputs context, | ||
| RelNode parent, CascadeRelSubset input, int i, RelOptCost upper) { | ||
| this.context = context; | ||
| this.parent = parent; |
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Is there any test for it?
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| /** | ||
| * An enum representing optimizing state of current RelSubset | ||
| */ |
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What's the difference between CascadeRelSubset and RelSubset?
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CascadeRelSubset have two more fields: optimizeState and upperBound. The comments in this class will help you understand what they are used for.
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hi, @FatLittle Thank you very much for the PR you submitted. Can you include the issue link in the description of this PR? |
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@XuQianJin-Stars I think this is the most related JIRA: |
That's it. Thanks, Haisheng! |
FatLittle
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| protected boolean cascade() { | ||
| return false; | ||
| } | ||
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pruning in calcite
pruning in calcite: add more tests and resolve some comments
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pruning in calcite: fix case failure
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added a commit. Propagate Traits with Haisheng's trait propagation frameworks. Remove AC dependencies. |
| * CascadePlanner that apply memo pruning logic` | ||
| * based on the data structure of VolcanoPlanner | ||
| */ | ||
| public class CascadePlanner extends VolcanoPlanner { |
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I think the new planner's name should be CascadesPlanner not CascadePlanner according to the paper "The Cascades Framework for Query Optimization", and we can also find “Cascades” in the Columbia planner source code.
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| RelOptCost lowerBound = null; | ||
| for (RelNode relNode : subset.getRels()) { |
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If current group is not fully optimized and has no winner, there may be problems to get the lower bound here. Since the current group's optimization may affact the input groups of the current group. E.g., the current group's optimization may push down some require traits and maybe somewhere of the inputs subtrees may enhance there's costs. So if we get the lower bound here, it may be larger than the actual lower bound which may miss optimal plan
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This PR is superseded by #1991. |
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Link to https://issues.apache.org/jira/browse/CALCITE-3916